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Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide Table of Contents 1. Overview 2. Indicator Components 3. Signal Interpretation 4. Live Market Analysis Guide 5. Best Practices 6. Limitations and Considerations 7. Risk Disclaimer ________________________________________ Overview The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities. Key Features: โ€ข Multi-Indicator Analysis: Combines 20+ technical indicators โ€ข Real-Time Dashboard: Professional interface with customizable display โ€ข Signal Aggregation: Weighted scoring system for overall market sentiment โ€ข Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis โ€ข Visual Progress Indicators: Easy-to-read progress bars for signal strength ________________________________________ Indicator Components 1. Oscillators Section Purpose: Identifies overbought/oversold conditions and momentum changes Included Indicators: โ€ข RSI (14): Relative Strength Index - momentum oscillator โ€ข Stochastic (14): Compares closing price to price range โ€ข CCI (20): Commodity Channel Index - cycle identification โ€ข Williams %R (14): Momentum indicator similar to Stochastic โ€ข MACD (12,26,9): Moving Average Convergence Divergence โ€ข Momentum (10): Rate of price change โ€ข ROC (9): Rate of Change โ€ข Bollinger Bands (20,2): Volatility-based indicator Signal Interpretation: โ€ข Strong Buy (6+ points): Multiple oscillators indicate oversold conditions โ€ข Buy (2-5 points): Moderate bullish momentum โ€ข Neutral (-1 to 1 points): Balanced conditions โ€ข Sell (-2 to -5 points): Moderate bearish momentum โ€ข Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions 2. Moving Averages Section Purpose: Determines trend direction and strength Included Indicators: โ€ข SMA: 10, 20, 50, 100, 200 periods โ€ข EMA: 10, 20, 50 periods Signal Logic: โ€ข Price >2% above MA = Strong Buy (+2) โ€ข Price above MA = Buy (+1) โ€ข Price below MA = Sell (-1) โ€ข Price >2% below MA = Strong Sell (-2) Signal Interpretation: โ€ข Strong Buy (6+ points): Price well above multiple MAs, strong uptrend โ€ข Buy (2-5 points): Price above most MAs, bullish trend โ€ข Neutral (-1 to 1 points): Mixed MA signals, consolidation โ€ข Sell (-2 to -5 points): Price below most MAs, bearish trend โ€ข Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend 3. Order Block Analysis Purpose: Identifies institutional support/resistance levels and breakouts How It Works: โ€ข Detects historical levels where large orders were placed โ€ข Monitors price behavior around these levels โ€ข Identifies breakouts from established order blocks Signal Types: โ€ข BULLISH BRK (+2): Breakout above resistance order block โ€ข BEARISH BRK (-2): Breakdown below support order block โ€ข ABOVE SUP (+1): Price holding above support โ€ข BELOW RES (-1): Price rejected at resistance โ€ข NEUTRAL (0): No significant order block interaction 4. Supertrend Analysis Purpose: Trend following indicator based on Average True Range Parameters: โ€ข ATR Period: 10 (default) โ€ข ATR Multiplier: 6.0 (default) Signal Types: โ€ข BULLISH (+2): Price above Supertrend line โ€ข BEARISH (-2): Price below Supertrend line โ€ข NEUTRAL (0): Transition period 5. Trendline/Channel Analysis Purpose: Identifies trend channels and breakout patterns Components: โ€ข Dynamic trendline calculation using pivot points โ€ข Channel width based on historical volatility โ€ข Breakout detection algorithm Signal Types: โ€ข UPPER BRK (+2): Breakout above upper channel โ€ข LOWER BRK (-2): Breakdown below lower channel โ€ข ABOVE MID (+1): Price above channel midline โ€ข BELOW MID (-1): Price below channel midline 6. Volume Analysis Purpose: Confirms price movements with volume data Components: โ€ข Volume spikes detection โ€ข On Balance Volume (OBV) โ€ข Volume Price Trend (VPT) โ€ข Money Flow Index (MFI) โ€ข Accumulation/Distribution Line Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements. ________________________________________ Signal Interpretation Overall Summary Signals The indicator aggregates all component signals into an overall market sentiment: Signal Score Range Interpretation Action STRONG BUY 10+ Overwhelming bullish consensus Consider long positions BUY 4-9 Moderate to strong bullish bias Look for long opportunities NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities STRONG SELL -10+ Overwhelming bearish consensus Consider short positions Progress Bar Interpretation โ€ข Filled bars indicate signal strength โ€ข Green bars: Bullish signals โ€ข Red bars: Bearish signals โ€ข More filled bars = stronger conviction ________________________________________ Live Market Analysis Guide Step 1: Initial Assessment 1. Check Overall Summary: Start with the main signal 2. Verify with Component Analysis: Ensure signals align 3. Look for Divergences: Identify conflicting signals Step 2: Timeframe Analysis 1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading 2. Multi-Timeframe Confirmation: Check higher timeframes for trend context 3. Entry Timing: Use lower timeframes for precise entry points Step 3: Signal Confirmation Process. For Buy Signals: 1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20) 2. Moving Averages: Price should be above key MAs 3. Order Blocks: Confirm bounce from support levels 4. Volume: Check for accumulation patterns 5. Supertrend: Ensure bullish trend alignment. For Sell Signals: 1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80) 2. Moving Averages: Price should be below key MAs 3. Order Blocks: Confirm rejection at resistance levels 4. Volume: Check for distribution patterns 5. Supertrend: Ensure bearish trend alignment. Step 4: Risk Management Integration 1. Signal Strength Assessment: Stronger signals = larger position size 2. Stop Loss Placement: Use Order Block levels for stops 3. Take Profit Targets: Based on channel analysis and resistance levels 4. Position Sizing: Adjust based on signal confidence ________________________________________ Best Practices Entry Strategies 1. High Conviction Entries: Wait for STRONG BUY/SELL signals 2. Confluence Trading: Look for multiple components aligning 3. Breakout Trading: Use Order Block and Trendline breakouts 4. Trend Following: Align with Supertrend direction. Risk Management 1. Never Risk More Than 2% Per Trade: Regardless of signal strength 2. Use Stop Losses: Place at invalidation levels 3. Scale Positions: Stronger signals warrant larger (but still controlled) positions 4. Diversification: Don't rely solely on one indicator. Market Conditions 1. Trending Markets: Focus on Supertrend and MA signals 2. Range-Bound Markets: Emphasize Oscillator and Order Block signals 3. High Volatility: Reduce position sizes, widen stops 4. Low Volume: Be cautious of breakout signals. Common Mistakes to Avoid 1. Signal Chasing: Don't enter after signals have already moved significantly 2. Ignoring Context: Consider overall market conditions 3. Overtrading: Wait for high-quality setups 4. Poor Risk Management: Always use appropriate position sizing ________________________________________ Limitations and Considerations Technical Limitations 1. Lagging Nature: All technical indicators are based on historical data 2. False Signals: No indicator is 100% accurate 3. Market Regime Changes: Indicators may perform differently in various market conditions 4. Whipsaws: Possible in choppy, sideways markets. Optimal Use Cases 1. Trending Markets: Performs best in clear trending environments 2. Medium to High Volatility: Requires sufficient price movement for signals 3. Liquid Markets: Works best with adequate volume and tight spreads 4. Multiple Timeframe Analysis: Most effective when used across different timeframes. When to Use Caution 1. Major News Events: Fundamental analysis may override technical signals 2. Market Opens/Closes: Higher volatility can create false signals 3. Low Volume Periods: Signals may be less reliable 4. Holiday Trading: Reduced participation affects signal quality ________________________________________ Risk Disclaimer IMPORTANT LEGAL DISCLAIMER FROM aiTrendview WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms: No Investment Advice โ€ข The Indicator does NOT constitute investment advice, financial advice, or trading recommendations โ€ข All signals generated are based on historical price data and mathematical calculations โ€ข Past performance does not guarantee future results โ€ข No representation is made that any account will achieve profits or losses similar to those shown. Risk Acknowledgment โ€ข TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital โ€ข LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment โ€ข MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile โ€ข TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades. User Responsibility โ€ข YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences โ€ข CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions โ€ข CONSULT PROFESSIONALS: Seek advice from qualified financial advisors โ€ข RISK MANAGEMENT: Implement appropriate risk management strategies No Warranties โ€ข The Indicator is provided "AS IS" without warranties of any kind โ€ข aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator โ€ข Technical glitches, data feed issues, or calculation errors may occur โ€ข The Indicator may not work as expected in all market conditions. Limitation of Liability โ€ข aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages โ€ข This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures โ€ข MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any) Code Usage and Distribution โ€ข This indicator is published on TradingView in accordance with TradingView's house rules โ€ข UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited โ€ข Users may not claim ownership of this intellectual property โ€ข Commercial use requires explicit written permission from aiTrendview. Compliance and Regulations โ€ข VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws โ€ข Some trading strategies may not be suitable for all investors โ€ข Tax implications of trading are your responsibility โ€ข Report trading activities as required by law Specific Risk Factors 1. False Signals: The Indicator may generate incorrect buy/sell signals 2. Market Gaps: Overnight gaps can invalidate technical analysis 3. Fundamental Events: News and economic data can override technical signals 4. Liquidity Risk: Some markets may have insufficient liquidity 5. Technology Risk: Platform failures or connectivity issues may prevent order execution. Professional Trading Warning โ€ข THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading โ€ข NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority โ€ข EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts FINAL WARNING NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading: 1. Practice on paper/demo accounts extensively 2. Start with small position sizes 3. Develop a comprehensive trading plan 4. Implement strict risk management rules 5. Continuously educate yourself about market dynamics By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes. Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only. ________________________________________ This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator. Document Version: 1.0 Publisher: aiTrendview ________________________________________ Disclaimer The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Penunjuk Pine Scriptยฎ
oleh aiTrendview-Charting-System
chanlun็ผ ่ฎบ - ็ฌ”ไธŽไธญๆžขOverview The Chanlun (็ผ ่ฎบ) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (็ฌ”) and "central hubs" (ไธญๆžข), providing traders with a systematic framework for understanding price movements, trend structure, and potential reversal zones. Theoretical Foundation Chan Theory is a sophisticated price action methodology that breaks down market movements into hierarchical structures: Local Extremes: Swing highs and lows identified through lookback periods Strokes (็ฌ”): Valid price movements between opposite extremes that meet specific criteria Central Hubs (ไธญๆžข): Consolidation zones formed by overlapping strokes, representing key support/resistance areas Key Components 1. Local Extreme Detection Identifies swing highs and lows using a configurable lookback period (default: 5 bars) Only considers extremes within the specified calculation range Forms the foundation for stroke construction 2. Stroke (็ฌ”) Identification The indicator applies a multi-stage filtering process to identify valid strokes: Stage 1 - Extreme Consolidation: Merges consecutive extremes of the same type (high or low) Keeps only the most extreme value (highest high or lowest low) Stage 2 - Stroke Validation: Ensures minimum bar gap between strokes (default: 4 bars) Alternative validation: 2+ bars with >1% price change Eliminates noise and insignificant price movements Color Coding: White Lines: Regular up/down strokes Yellow Lines: Strokes that form part of a central hub Customizable width and colors for different stroke types 3. Central Hub (ไธญๆžข) Formation A central hub forms when at least 3 consecutive strokes have overlapping price ranges: Formation Rules: Stroke 1: Stroke 2: Stroke 3: Hub Upper = MIN(High1, High2, High3) Hub Lower = MAX(Low1, Low2, Low3) Valid if: Hub Upper > Hub Lower Hub Extension: Subsequent strokes that overlap with the hub extend it Hub ends when a stroke no longer overlaps Creates rectangular zones on the chart Visual Representation: Green rectangular boxes: Mark the time and price range of each central hub Dashed extension lines: Show the latest hub boundaries extending to the right Price labels on axis: Display exact hub upper and lower boundary values 4. Extreme Point Markers (Optional) Red markers for tops (โ–ผ) Green markers for bottoms (โ–ฒ) Marks every validated stroke extreme point Useful for detailed structure analysis 5. Information Table (Optional) Displays real-time statistics: Symbol name Current timeframe Lookback period setting Minimum gap setting Total stroke count Parameter Settings Performance Settings Max Bars to Calculate (3600): Limits historical calculation to improve performance Local Extreme Lookback Period (5): Bars used to identify swing highs/lows Min Gap Bars (4): Minimum bars required between valid strokes Display Settings Show Strokes: Toggle stroke line visibility Show Central Hub: Toggle hub box visibility Show Hub Extension Lines: Toggle dashed boundary lines Show Extreme Point Marks: Toggle top/bottom markers Show Info Table: Toggle statistics table Color Settings Full customization of: Up/down stroke colors and widths Hub stroke colors and widths Hub border and background colors Extension line colors Trading Applications Trend Structure Analysis Uptrend: Series of higher highs and higher lows connected by strokes Downtrend: Series of lower highs and lower lows connected by strokes Consolidation: Formation of central hubs indicating range-bound movement Support and Resistance Identification Central Hub Zones: Act as strong support/resistance areas Hub Upper Boundary: Resistance level in consolidation, support after breakout Hub Lower Boundary: Support level in consolidation, resistance after breakdown Price tends to react at these levels due to market structure memory Breakout Trading Bullish Breakout: Price closes above hub upper boundary Previous resistance becomes support Entry on retest of upper boundary Stop loss below hub zone Bearish Breakdown: Price closes below hub lower boundary Previous support becomes resistance Entry on retest of lower boundary Stop loss above hub zone Reversal Detection Hub Formation After Trend: Signals potential trend exhaustion Multiple Hub Levels: Create probability zones for reversals Stroke Count: Excessive strokes within hub suggest weakening momentum Position Management Use hub boundaries for stop loss placement Scale out positions at hub edges Re-enter on retests of broken hub levels Interpretation Guide Strong Trending Market Long, clear strokes with minimal overlap Few or no central hubs forming Strokes consistently in same direction Wide spacing between extremes Consolidating Market Multiple central hubs forming Short, overlapping strokes Yellow hub strokes dominate the chart Narrow price range Trend Transition Hub formation after extended trend Stroke direction changes frequently Hub boundaries being tested repeatedly Potential reversal zone Advanced Usage Techniques Multi-Timeframe Analysis Higher Timeframe: Identify major hub zones for overall market structure Lower Timeframe: Find precise entry points within larger structure Alignment: Trade when lower timeframe strokes align with higher timeframe hub breaks Hub Quality Assessment Wide Hubs: Strong consolidation, higher probability support/resistance Narrow Hubs: Weak consolidation, may break easily Extended Hubs: More strokes = stronger zone Isolated Hubs: Single hub = potential pivot point Stroke Analysis Stroke Length: Longer strokes = stronger momentum Stroke Speed: Fewer bars per stroke = explosive moves Stroke Clustering: Many short strokes = indecision Best Practices Parameter Optimization Adjust lookback period based on timeframe and volatility Lower periods (3-4): More strokes, more noise, faster signals Higher periods (7-10): Fewer strokes, cleaner structure, slower signals Confirmation Strategy Don't trade on strokes alone Combine with volume analysis Use candlestick patterns at hub boundaries Wait for breakout confirmation Risk Management Always place stops outside hub zones Use hub width to size positions (wider hub = smaller position) Exit if price re-enters broken hub from wrong direction Avoid Common Pitfalls Don't trade within central hubs (range-bound, unpredictable) Don't ignore higher timeframe hub structures Don't chase strokes after they've extended far from hub Don't trust single-stroke hubs (need 3+ strokes for validity) Performance Considerations Max Bars Limit: Set to 3600 to balance detail with performance Safe Distance Calculation: Only draws objects within 2000 bars of current price Object Cleanup: Automatically removes old drawing objects to prevent memory issues Efficient Arrays: Uses indexed arrays for fast lookup and processing Ideal Market Conditions Best Performance: Liquid markets with clear structure (major forex pairs, indices, large-cap stocks) Trending markets with periodic consolidations Medium to high volatility for clear stroke formation Less Effective: Extremely choppy, directionless markets Very low timeframes (< 5 minutes) with excessive noise Illiquid instruments with erratic price action Integration with Other Indicators Complementary Tools: Volume Profile: Confirm hub significance with volume nodes Moving Averages: Use for trend bias within stroke structure RSI/MACD: Momentum confirmation at hub boundaries Fibonacci Retracements: Hub levels often align with Fib levels Advantages โœ“ Objective Structure: Removes subjectivity from market structure analysis โœ“ Visual Clarity: Color-coded strokes and clear hub zones โœ“ Multi-Timeframe Applicable: Works on all timeframes from minutes to months โœ“ Complete Framework: Provides entry, exit, and risk management levels โœ“ Theoretical Foundation: Based on proven Chan Theory methodology โœ“ Customizable: Extensive parameter and visual customization options Limitations โš  Learning Curve: Requires understanding of Chan Theory principles โš  Lag Factor: Strokes confirm after price movements complete โš  Parameter Sensitivity: Different settings produce significantly different results โš  Choppy Market Struggles: Can generate excessive hubs in range-bound conditions โš  Computation Intensive: May slow down on lower-end systems with max bars setting Optimization Tips Timeframe Selection Scalping: 5-15 minute charts, lookback period 3-4 Day Trading: 15-60 minute charts, lookback period 4-5 Swing Trading: 4-hour to daily charts, lookback period 5-7 Position Trading: Daily to weekly charts, lookback period 7-10 Volatility Adjustment High volatility: Increase minimum gap bars to reduce noise Low volatility: Decrease lookback period to capture smaller moves Visual Optimization Use contrasting colors for different market conditions Adjust line widths based on chart resolution Toggle markers off for cleaner appearance once familiar with structure Quick Start Guide For Beginners: Start with default settings (5 lookback, 4 min gap) Enable "Show Info Table" to track stroke count Focus on identifying clear hub formations Practice waiting for price to break hub boundaries before trading For Advanced Users: Optimize lookback and gap parameters for your instrument Use hub strokes (yellow) to identify key consolidation zones Combine with multiple timeframes for confirmation Develop entry rules based on hub breakout/retest patterns This indicator provides a complete structural framework for understanding market behavior through the lens of Chan Theory, offering traders a systematic approach to identifying high-probability trading opportunities.
Penunjuk Pine Scriptยฎ
oleh nozhizhi
6
DAO - Demand Advanced Oscillator# DAO - Demand Advanced Oscillator ## ๐Ÿ“Š Overview DAO (Demand Advanced Oscillator) is a powerful momentum oscillator that measures buying and selling pressure by analyzing consecutive high-low relationships. It helps identify market extremes, divergences, and potential trend reversals. **Values range from 0 to 1:** - **Above 0.70** = Overbought (potential reversal down) - **Below 0.30** = Oversold (potential reversal up) - **0.30 - 0.70** = Neutral zone --- ## โœจ Key Features โœ… **Automatic Divergence Detection** - Bullish divergences (price lower low + DAO higher low) - Bearish divergences (price higher high + DAO lower high) - Visual lines connecting divergence points โœ… **Multi-Timeframe Analysis** - View higher timeframe DAO on current chart - Perfect for trend alignment strategies โœ… **Signal Line (EMA)** - Customizable EMA for trend confirmation - Crossover signals for momentum shifts โœ… **Real-Time Statistics Dashboard** - Current DAO value - Market status (Overbought/Oversold/Neutral) - Trend direction indicator โœ… **Complete Alert System** - Overbought/Oversold signals - Bullish/Bearish divergences - Signal line crosses - Level crosses โœ… **Fully Customizable** - Adjustable periods and levels - Customizable colors and zones - Toggle features on/off --- ## ๐Ÿ“ˆ Trading Signals ### 1. Divergences (Most Powerful) **Bullish Divergence:** - Price makes lower low - DAO makes higher low - Signal: Strong reversal up likely **Bearish Divergence:** - Price makes higher high - DAO makes lower high - Signal: Strong reversal down likely ### 2. Overbought/Oversold **Overbought (>0.70):** - Market may be overextended - Consider taking profits or looking for shorts - Can remain overbought in strong trends **Oversold (<0.30):** - Market may be oversold - Consider buying opportunities - Can remain oversold in strong downtrends ### 3. Signal Line Crossovers **Bullish Cross:** - DAO crosses above signal line - Momentum turning positive **Bearish Cross:** - DAO crosses below signal line - Momentum turning negative ### 4. Level Crosses **Cross Above 0.30:** Exiting oversold zone (potential uptrend) **Cross Below 0.70:** Exiting overbought zone (potential downtrend) --- ## โš™๏ธ Default Settings ๐Ÿ“Š Oscillator Period: 14 Number of bars for calculation ๐Ÿ“ˆ Signal Line Period: 9 EMA period for signal line ๐Ÿ”ด Overbought Level: 0.70 Upper threshold ๐ŸŸข Oversold Level: 0.30 Lower threshold ๐ŸŽฏ Divergence Detection: ON Auto divergence identification โฐ Multi-Timeframe: OFF Higher TF overlay (optional) All parameters are fully customizable! --- ## ๐Ÿ”” Alerts Six pre-configured alerts available: 1. DAO Overbought 2. DAO Oversold 3. DAO Bullish Divergence 4. DAO Bearish Divergence 5. DAO Signal Cross Up 6. DAO Signal Cross Down **Setup:** Right-click indicator โ†’ Add Alert โ†’ Choose condition --- ## ๐Ÿ’ก How to Use ### Best Practices: โœ… Focus on divergences (strongest signals) โœ… Combine with support/resistance levels โœ… Use multiple timeframes for confirmation โœ… Wait for price action confirmation โœ… Practice proper risk management ### Avoid: โŒ Trading on indicator alone โŒ Fighting strong trends โŒ Ignoring market context โŒ Overtrading ### Recommended Settings by Trading Style: **Day Trading:** Period 7-10, All alerts ON **Swing Trading:** Period 14-21, Divergence alerts **Scalping:** Period 5-7, Signal crosses **Position Trading:** Period 21-30, Weekly/Daily TF --- ## ๐ŸŒ Markets & Timeframes **Works on all markets:** - Forex (all pairs) - Stocks (all exchanges) - Cryptocurrencies - Commodities - Indices - Futures **Works on all timeframes:** 1m to Monthly --- ## ๐Ÿ“Š How It Works DAO calculates the ratio of buying pressure to total market pressure: 1. **Calculate Buying Pressure (DemandMax):** - If current high > previous high: DemandMax = difference - Otherwise: DemandMax = 0 2. **Calculate Selling Pressure (DemandMin):** - If previous low > current low: DemandMin = difference - Otherwise: DemandMin = 0 3. **Apply Smoothing:** - Calculate SMA of DemandMax over N periods - Calculate SMA of DemandMin over N periods 4. **Final Formula:** ``` DAO = SMA(DemandMax) / (SMA(DemandMax) + SMA(DemandMin)) ``` This produces a normalized value (0-1) representing market demand strength. --- ## ๐ŸŽฏ Trading Strategies ### Strategy 1: Divergence Trading - Wait for divergence label - Confirm at support/resistance - Enter on confirming candle - Stop loss beyond recent swing - Target: opposite level or 0.50 ### Strategy 2: Overbought/Oversold - Best for ranging markets - Wait for extreme readings - Enter on reversal from extremes - Target: middle line (0.50) ### Strategy 3: Trend Following - Identify trend direction first - Use DAO to time entries in trend direction only - Enter on pullbacks to oversold (uptrend) or overbought (downtrend) - Trade with the trend ### Strategy 4: Multi-Timeframe - Enable MTF feature - Trade only when both timeframes align - Higher TF = trend direction - Lower TF = precise entry --- ## ๐Ÿ“‚ Category **Primary:** Oscillators **Secondary:** Statistics, Volatility, Momentum --- ## ๐Ÿท๏ธ Tags dao, oscillator, momentum, overbought-oversold, divergence, reversal, demand-indicator, price-exhaustion, statistics, volatility, forex, stocks, crypto, multi-timeframe, technical-analysis --- ## โš ๏ธ Disclaimer **This indicator is for educational purposes only.** It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research, use proper risk management, and consult with financial professionals before making trading decisions. Past performance does not guarantee future results. --- ## ๐Ÿ“„ License Open source - Free to use for personal trading, modify as needed, and share with attribution. --- **Version:** 1.0 **Status:** Production Ready โœ… **Pine Script:** v5 **Trademark-Free:** 100% Safe to Publish --- *Made with ๐Ÿ’™ for traders worldwide*
Penunjuk Pine Scriptยฎ
oleh kostyanius
2
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion . Core Architecture Why These Components Are Combined: The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention. The Four Trading Agents 1. Spoofing Detector Agent ๐ŸŽญ Detects iceberg orders through persistent volume at similar price levels over 5 bars Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8ร— average) Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model) Signal Logic: Contrarianโ€”fades false breakouts caused by institutional manipulation Best Markets: Consolidations, institutional trading windows, low-liquidity hours 2. Exhaustion Detector Agent โšก Calculates RSI divergence between price movement and momentum indicator over 5-bar window Detects VWAP exhaustion (price at 2ฯƒ bands with declining volume) Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure Signal Logic: Counter-trendโ€”enters when momentum extreme shows weakness Best Markets: Trending markets reaching climax points, over-extended moves 3. Liquidity Void Detector Agent ๐Ÿ’ง Measures Bollinger Band squeeze (width <60% of 50-period average) Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike Detects hidden liquidity absorption (volume >2ร— average with range <0.3ร— ATR) Signal Logic: Breakout anticipationโ€”enters after liquidity grab but before main move Best Markets: Range-bound pre-breakout, volatility compression zones 4. Mean Reversion Agent ๐Ÿ“Š Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ยฑ2ฯƒ) Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model) Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability) Signal Logic: Statistical reversionโ€”enters when price deviates significantly from statistical equilibrium Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments Adaptive Selection: Multi-Armed Bandit System The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance: Thompson Sampling (Default - Recommended): Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent) Balances exploration (trying underused agents) vs. exploitation (using proven winners) Each agent's win/loss history informs its selection probability Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation UCB1 (Upper Confidence Bound): Calculates confidence intervals using: average_reward + sqrt(2 ร— ln(total_pulls) / agent_pulls) Deterministic algorithm favoring agents with high uncertainty (potential upside) More conservative than Thompson Sampling Epsilon-Greedy: Exploits best-performing agent (1-ฮต)% of the time Explores randomly ฮต% of the time (default 10%, configurable 1-50%) Simple, transparent, easily tuned via epsilon parameter Gradient Bandit: Uses softmax probability distribution over agent preference weights Updates weights via gradient ascent based on rewards Best for Blend mode where all agents contribute Selection Modes: Switch Mode: Uses only the selected agent's signal (clean, decisive) Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified) Lock Agent Feature: Optional manual override to force one specific agent Useful after identifying which agent dominates your specific instrument Only applies in Switch mode Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion Memory System Dual-Layer Architecture: Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50) Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars) Memory Boost Mechanism: Recent performance modulates agent scores by up to ยฑ20% Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds) How Memory Works: Agent generates signal โ†’ outcome tracked after 8 bars (performance horizon) Result stored in short-term memory (win = 1.0, loss = 0.0) Short-term average influences agent's future scores (positive feedback loop) After threshold met (default 10 results), episode averaged into long-term storage Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost Market Microstructure Analysis These advanced metrics quantify institutional order flow dynamics: Order Flow Toxicity (Simplified VPIN): Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol) Detects informed trading activity (institutional players with non-public information) Values >0.4 indicate "toxic flow" (informed traders active) Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification Price Impact Analysis (Simplified Kyle's Lambda): Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10) Low values = large orders with minimal price impact ( stealth accumulation ) High values = retail-dominated moves with high slippage Lite Approximation: Uses simplified denominator instead of regression-based signed order flow Market Randomness (Entropy Analysis): Counts unique price changes over 20 bars / 20 Measures market predictability High entropy (>0.6) = human-driven, chaotic price action Low entropy (<0.25) = algorithmic trading dominance (predictable patterns) Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -ฮฃ p(x)ยทlogโ‚‚(p(x)) Order Clustering (Simplified Hawkes Process): Tracks self-exciting event intensity (coordinated order activity) Decays at 0.9ร— per bar, spikes +1.0 when volume >1.5ร— average High intensity (>0.7) indicates clustering (potential spoofing/accumulation) Lite Approximation: Simple exponential decay instead of full ฮป(t) = ฮผ + ฮฃ ฮฑยทexp(-ฮฒ(t-tแตข)) with MLE Signal Generation Process Multi-Stage Validation: Stage 1: Agent Scoring Each agent calculates internal score based on its detection criteria Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier) Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0) Stage 2: Memory Boost Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance) Successful agents get amplified, failing agents get dampened Stage 3: Bandit Selection/Blending If Adaptive Mode ON: Switch: Bandit selects single best agent, uses only its signal Blend: All agents combined using softmax-weighted confidence scores If Adaptive Mode OFF: Traditional consensus voting with confidence-squared weighting Signal fires when consensus exceeds threshold (default 70%) Stage 4: Confirmation Filter Raw signal must repeat for consecutive bars (default 3, configurable 2-4) Minimum confidence threshold: 0.25 (25%) enforced regardless of mode Trend alignment check: Long signals require trend_score โ‰ฅ -2, Short signals require trend_score โ‰ค 2 Stage 5: Cooldown Enforcement Minimum bars between signals (default 10, configurable 5-15) Prevents over-trading during choppy conditions Stage 6: Performance Tracking After 8 bars (performance horizon), signal outcome evaluated Win = price moved in signal direction, Loss = price moved against Results fed back into memory and bandit statistics Trading Modes (Presets) Pre-configured parameter sets: Conservative: 85% consensus, 4 confirmations, 15-bar cooldown Expected: 60-70% win rate, 3-8 signals/week Best for: Swing trading, capital preservation, beginners Balanced: 70% consensus, 3 confirmations, 10-bar cooldown Expected: 55-65% win rate, 8-15 signals/week Best for: Day trading, most traders, general use Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown Expected: 50-58% win rate, 15-30 signals/week Best for: Scalping, high-frequency trading, active management Elite: 75% consensus, 3 confirmations, 12-bar cooldown Expected: 58-68% win rate, 5-12 signals/week Best for: Selective trading, high-conviction setups Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown Expected: Varies based on learning Best for: Experienced users leveraging bandit system How to Use 1. Initial Setup (5 Minutes): Select Trading Mode matching your style (start with Balanced) Enable Adaptive Learning (recommended for automatic agent selection) Choose Thompson Sampling algorithm (best all-around performance) Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume) 2. Agent Tuning (Optional): Adjust Agent Sensitivity multipliers (0.5-2.0): <0.8 = Highly selective (fewer signals, higher quality) 0.9-1.2 = Balanced (recommended starting point) 1.3 = Aggressive (more signals, lower individual quality) Monitor dashboard for 20-30 signals to identify dominant agent If one agent consistently outperforms, consider using Lock Agent feature 3. Bandit Configuration (Advanced): Blend Temperature (0.1-2.0): 0.3 = Sharp decisions (best agent dominates) 0.5 = Balanced (default) 1.0+ = Smooth (equal weighting, democratic) Memory Decay (0.8-0.99): 0.90 = Fast adaptation (volatile markets) 0.95 = Balanced (most instruments) 0.97+ = Long memory (stable trends) 4. Signal Interpretation: Green triangle (โ–ฒ): Long signal confirmed Red triangle (โ–ผ): Short signal confirmed Dashboard shows: Active agent (highlighted row with โ–บ marker) Win rate per agent (green >60%, yellow 40-60%, red <40%) Confidence bars (โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ = maximum confidence) Memory size (short-term buffer count) Colored zones display: Entry level (current close) Stop-loss (1.5ร— ATR) Take-profit 1 (2.0ร— ATR) Take-profit 2 (3.5ร— ATR) 5. Risk Management: Never risk >1-2% per signal (use ATR-based stops) Signals are entry triggers, not complete strategies Combine with your own market context analysis Consider fundamental catalysts and news events Use "Confirming" status to prepare entries (not to enter early) 6. Memory Persistence (Optional): After 50-100 trades, check Memory Export Panel Record displayed alpha/beta/weight values for each agent Record VPIN and Kyle threshold values Enable "Restore From Memory" and input saved values to continue learning Useful when switching timeframes or restarting indicator Visual Components On-Chart Elements: Spectral Layers: EMA8 ยฑ 0.5 ATR bands (dynamic support/resistance, colored by trend) Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers) Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence ร— ATR) Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal) Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets Signal Markers: Triangle up/down at validated entry points Dashboard (Configurable Position & Size): Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear) Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus) Agent Performance Table: Real-time win%, confidence, and memory stats Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled) Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress Memory Panel (Configurable Position & Size): Live Parameter Export: Alpha, beta, and weight values per agent Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold Save Reminder: Visual indicator if parameters should be recorded What Makes This Original This script's originality lies in three key innovations: 1. Genuine Meta-Learning Framework: Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimizationโ€”it's real-time learning. 2. Episodic Memory Architecture with Transfer Learning: The dual-layer memory system mimics human learning patterns: Short-term memory captures recent performance (recency bias) Long-term memory preserves historical patterns (experience) Automatic transfer mechanism consolidates knowledge Memory boost creates positive feedback loops (successful strategies become stronger) This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates. 3. Institutional Microstructure Integration: Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis. Mashup Justification: The four agents are combined specifically for risk diversification across failure modes: Spoofing Detector: Prevents false breakout losses from manipulation Exhaustion Detector: Prevents chasing extended trends into reversals Liquidity Void: Exploits volatility compression (different regime than trending) Mean Reversion: Provides mathematical anchoring when patterns fail The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals. Why "ML-lite"? Simplifications and Approximations This is the "lite" version due to necessary simplifications for Pine Script execution: 1. Simplified VPIN Calculation: Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume) Impact: May misclassify volume during ranging/choppy markets; works best in directional moves 2. Pseudo-Random Sampling: Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close ร— 100 - floor(close ร— 100)) + (volume % 100) / 100 Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection 3. Hawkes Process Approximation: Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: ฮป(t) = ฮผ + ฮฃ ฮฑยทexp(-ฮฒ(t-tแตข)) fitted via iterative optimization This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event) Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments 4. Kyle's Lambda Simplification: Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: ฮ”p = ฮป ร— ฮ”v + ฮต This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals 5. Entropy Calculation: Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -ฮฃ p(x)ยทlogโ‚‚(p(x)) where p(x) is probability of each price change magnitude This Implementation: Simple ratio of unique price changes to total observations (variety measure) Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape 6. Memory System Constraints: Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking 7. Limited Feature Engineering: Advanced Implementation: Dozens of engineered features, polynomial interactions (xยฒ, xยณ), dimensionality reduction (PCA, autoencoders), feature selection algorithms This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations 8. Single-Instrument Data: Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes This Implementation: Only OHLCV data from displayed instrument Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets 9. Fixed Performance Horizon: Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement This Implementation: Fixed 8-bar evaluation window Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach Performance Impact Summary: These simplifications make the script: โœ… Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations โœ… More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers โœ… More Transparent: All calculations visible in Pine Script (no black-box compiled models) โœ… Lower Resource Usage: <500 bars lookback, minimal memory footprint โš ๏ธ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations โš ๏ธ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows โš ๏ธ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized When to Upgrade to Full Implementation: Consider professional Python/C++ versions with institutional data feeds if: Trading with >$100K capital where precision differences materially impact returns Operating in microsecond-competitive environments (HFT, market making) Requiring regulatory-grade audit trails and reproducibility Backtesting with tick-level precision for strategy validation Need true real-time adaptation with neural network-based learning For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logicโ€”multi-agent detection with adaptive selectionโ€”remains intact. Technical Notes All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap ) VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above) Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling No repainting: All calculations use confirmed bar data (no forward-looking) Maximum lookback: 500 bars (set via max_bars_back parameter) Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed) Confidence threshold: Minimum 0.25 (25%) enforced on all signals Memory arrays: Dynamic sizing with FIFO queue management Limitations and Disclaimers Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty. Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context. Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms. Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts. Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets. No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss. Forward-Looking Bias: Performance evaluation uses 8-bar forward windowโ€”this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics. Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes. Recommended Settings Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning) Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices) Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable) Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens) Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0) After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent Alert Configuration The script includes built-in alert conditions: Long Signal: Fires when validated long entry confirmed Short Signal: Fires when validated short entry confirmed Alerts fire once per bar (after confirmation requirements met) Set alert to "Once Per Bar Close" for reliability Taking you to school. โ€” Dskyz, Trade with insight. Trade with anticipation.
Penunjuk Pine Scriptยฎ
oleh DskyzInvestments
14
Pinbar MTF - No Repaint# Pinbar MTF - No Repaint Indicator ## Complete Technical Documentation --- ## ๐Ÿ“Š Overview **Pinbar MTF (Multi-Timeframe) - No Repaint** is a professional-grade TradingView Pine Script indicator designed to detect high-probability pinbar reversal patterns with advanced filtering systems. The indicator is specifically engineered to be **100% non-repainting**, making it reliable for both live trading and backtesting. ### Key Features โœ… **Non-Repainting** - Signals only appear AFTER bar closes, never disappear โœ… **Three-Layer Filter System** - ATR, SWING, and RSI filters โœ… **Automatic SL/TP Calculation** - Based on risk:reward ratios โœ… **Real-time Alerts** - TradingView notifications for all signals โœ… **Visual Trade Management** - Lines, labels, and areas for entries, stops, and targets โœ… **Backtesting Ready** - Reliable historical data for strategy testing --- ## ๐ŸŽฏ What is a Pinbar? A **Pinbar (Pin Bar/Pinocchio Bar)** is a single candlestick pattern that indicates a potential price reversal: ### Bullish Pinbar (BUY Signal) - **Long lower wick** (rejection of lower prices) - **Small body at the top** of the candle - Shows buyers rejected sellers' attempt to push price down - Forms at support levels or swing lows - Entry signal for LONG positions ### Bearish Pinbar (SELL Signal) - **Long upper wick** (rejection of higher prices) - **Small body at the bottom** of the candle - Shows sellers rejected buyers' attempt to push price up - Forms at resistance levels or swing highs - Entry signal for SHORT positions --- ## ๐Ÿ”ง How the Indicator Works ### 1. **Pinbar Detection Logic** The indicator analyzes the **previous closed bar ** to identify pinbar patterns: ``` Bullish Pinbar Requirements: - Lower wick > 72% of total candle range (adjustable) - Upper wick < 28% of total candle range - Close > Open (bullish candle body) Bearish Pinbar Requirements: - Upper wick > 72% of total candle range (adjustable) - Lower wick < 28% of total candle range - Close < Open (bearish candle body) ``` **Why check ?** By analyzing the previous completed bar, we ensure the pattern is fully formed and won't change, preventing repainting. --- ### 2. **Three-Layer Filter System** #### ๐Ÿ” **Filter #1: ATR (Average True Range) Filter** - **Purpose**: Ensures the pinbar has significant size - **Function**: Only signals if pinbar range โ‰ฅ ATR value - **Benefit**: Filters out small, insignificant pinbars - **Settings**: - Enable/Disable toggle - ATR Period (default: 7) **Example**: If ATR = 50 pips, only pinbars with 50+ pip range will signal. --- #### ๐Ÿ” **Filter #2: SWING Filter** (Always Active) - **Purpose**: Confirms pinbar forms at swing highs/lows - **Function**: Validates the pinbar is an absolute high/low - **Benefit**: Identifies true reversal points - **Settings**: - Swing Candles (default: 3) **How it works**: - For bullish pinbar: Checks if low is lowest of past 3 bars - For bearish pinbar: Checks if high is highest of past 3 bars **Example**: With 3 swing candles, a bullish pinbar must have the lowest low among the last 3 bars. --- #### ๐Ÿ” **Filter #3: RSI (Relative Strength Index) Filter** - **Purpose**: Confirms momentum conditions - **Function**: Prevents signals in extreme momentum zones - **Benefit**: Avoids counter-trend trades - **Settings**: - Enable/Disable toggle - RSI Period (default: 7) - RSI Source (Close, Open, High, Low, HL2, HLC3, OHLC4) - Overbought Level (default: 70) - Oversold Level (default: 30) **Logic**: - Bullish Pinbar: Only signals if RSI < 70 (not overbought) - Bearish Pinbar: Only signals if RSI > 30 (not oversold) --- ### 3. **Stop Loss Calculation** Two methods available: #### Method A: ATR-Based Stop Loss (Recommended) ``` Bullish Pinbar: SL = Pinbar Low - (1 ร— ATR) Bearish Pinbar: SL = Pinbar High + (1 ร— ATR) ``` **Benefit**: Dynamic stops that adapt to market volatility #### Method B: Fixed Pips Stop Loss ``` Bullish Pinbar: SL = Pinbar Low - (Fixed Pips) Bearish Pinbar: SL = Pinbar High + (Fixed Pips) ``` **Settings**: - Calculate Stop with ATR (toggle) - Stop Pips without ATR (default: 5) --- ### 4. **Take Profit Calculation** Take Profit is calculated based on Risk:Reward ratio: ``` Bullish Trade: TP = Entry + (Entry - SL) ร— Risk:Reward Ratio Bearish Trade: TP = Entry - (SL - Entry) ร— Risk:Reward Ratio ``` **Example**: - Entry: 1.2000 - SL: 1.1950 (50 pip risk) - RR: 2:1 - TP: 1.2100 (100 pip reward = 50 ร— 2) **Settings**: - Risk:Reward Ratio (default: 1.0, range: 0.1 to 10.0) --- ## ๐Ÿ“ˆ Visual Elements ### On-Chart Displays 1. **Signal Markers** - ๐ŸŸข **Green Triangle Up** = Bullish Pinbar (BUY) - ๐Ÿ”ด **Red Triangle Down** = Bearish Pinbar (SELL) - Placed directly on the pinbar candle 2. **Entry Labels** - Green "BUY" label with entry price - Red "SELL" label with entry price - Shows exact entry level 3. **Stop Loss Lines** - ๐Ÿ”ด Red horizontal line - "SL" label - Extends 20 bars forward 4. **Take Profit Lines** - ๐ŸŸข Green horizontal line - "TP" label - Extends 20 bars forward 5. **Risk/Reward Areas** (Optional) - Red shaded box = Risk zone (Entry to SL) - Green shaded box = Reward zone (Entry to TP) - Visual risk:reward visualization 6. **Info Table** (Top Right) - Displays current settings - Shows filter status (ON/OFF) - Real-time RSI value - Quick reference panel --- ## ๐Ÿ”” Alert System Three alert types available: ### 1. Combined Alert: "Pinbar Signal (Any Direction)" - Fires for BOTH bullish and bearish pinbars - **Best for**: General monitoring - **Message**: "Pinbar Signal Detected on {TICKER} at {PRICE}" ### 2. Bullish Alert: "Bullish Pinbar Alert" - Fires ONLY for BUY signals - **Best for**: Long-only strategies - **Message**: "BUY Signal on {TICKER} at {PRICE}" ### 3. Bearish Alert: "Bearish Pinbar Alert" - Fires ONLY for SELL signals - **Best for**: Short-only strategies - **Message**: "SELL Signal on {TICKER} at {PRICE}" --- ## โš™๏ธ Input Parameters Reference ### **Filters Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | ATR Filter on Pinbar Range? | โœ… ON | Boolean | Enable/disable ATR filter | | ATR Period | 7 | 1+ | Lookback period for ATR calculation | | Swing Candles | 3 | 1+ | Bars to check for swing high/low | | RSI Filter on Pinbar? | โŒ OFF | Boolean | Enable/disable RSI filter | | RSI Period | 7 | 2+ | Lookback period for RSI calculation | | RSI Source | Close | Multiple | Price data for RSI (Close/Open/High/Low/etc) | | RSI Overbought Level | 70 | 50-100 | Upper threshold for RSI filter | | RSI Oversold Level | 30 | 0-50 | Lower threshold for RSI filter | ### **Pinbar Detection Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Shadow % vs Body | 72 | 50-95 | Minimum wick size as % of total range | ### **Visualization Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Show SL and TP Lines? | โœ… ON | Boolean | Display stop loss and take profit lines | | Show SL and TP Area? | โŒ OFF | Boolean | Show shaded risk/reward boxes | ### **Risk Management Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Risk:Reward Ratio | 1.0 | 0.1-10.0 | Target profit vs risk (1.0 = 1:1, 2.0 = 1:2) | | Calculate Stop with ATR? | โœ… ON | Boolean | Use ATR for stop calculation | | Stop Pips without ATR | 5 | 1+ | Fixed pip stop when ATR disabled | --- ## ๐Ÿšซ Non-Repainting Architecture ### What is Repainting? **Repainting** occurs when an indicator's historical signals differ from what appeared in real-time. This makes backtesting unreliable and can lead to false confidence in a strategy. ### How This Indicator Prevents Repainting 1. **Closed Bar Analysis** - All calculations use ` ` offset (previous bar) - Only analyzes COMPLETED candles - Signals appear on the bar AFTER the pinbar closes 2. **Confirmed Swing Points** - Waits for sufficient bar history before signaling - Only checks historical bars that cannot change - Prevents premature swing detection 3. **Static Alert Timing** - Alerts fire only after bar completion - No conditional logic that changes historically - Same results in replay mode and live trading ### Verification Method To verify non-repainting behavior: 1. Apply indicator to chart 2. Note signal locations and prices 3. Refresh browser / reload chart 4. **Signals remain in exact same locations** --- ## ๐Ÿ’ผ Trading Strategy Guidelines ### Entry Rules **For Bullish Pinbar (LONG):** 1. Wait for green triangle to appear 2. Enter at close of pinbar (shown in label) 3. Alternative: Enter on break of pinbar high 4. Place stop loss at red SL line 5. Set target at green TP line **For Bearish Pinbar (SHORT):** 1. Wait for red triangle to appear 2. Enter at close of pinbar (shown in label) 3. Alternative: Enter on break of pinbar low 4. Place stop loss at red SL line 5. Set target at green TP line ### Risk Management - **Position Sizing**: Risk only 1-2% of account per trade - **Stop Loss**: Always use the calculated SL (never move it wider) - **Take Profit**: Use calculated TP or trail stop after 1:1 RR - **Multiple Timeframes**: Confirm signals on higher timeframe ### Best Practices โœ… **DO:** - Wait for bar to close before entering - Trade in direction of higher timeframe trend - Use on liquid markets with clear support/resistance - Combine with price action analysis - Keep a trading journal โŒ **DON'T:** - Enter before bar closes (prevents seeing full pattern) - Trade against strong trends - Ignore the filters (they improve win rate) - Risk more than 2% per trade - Trade every signal (be selective) --- ## ๐Ÿ“Š Backtesting & Data Export ### Available Data Points The indicator exports these values for strategy development: | Output | Description | |--------|-------------| | Bullish Signal | 1 = BUY signal, 0 = No signal | | Bearish Signal | 1 = SELL signal, 0 = No signal | | Bull SL | Stop loss level for long trades | | Bull TP | Take profit level for long trades | | Bull Entry | Entry price for long trades | | Bear SL | Stop loss level for short trades | | Bear TP | Take profit level for short trades | | Bear Entry | Entry price for short trades | ### How to Use in Strategy These values can be accessed by Pine Script strategies using: ```pine indicator_values = request.security(syminfo.tickerid, timeframe.period, ) ``` --- ## ๐ŸŽ“ Understanding the Filters ### Why Use Multiple Filters? Single-indicator systems often generate too many false signals. This indicator uses a **confluence approach**: 1. **Pinbar Pattern** = Price rejection detected 2. **+ SWING Filter** = Rejection at key level 3. **+ ATR Filter** = Significant move 4. **+ RSI Filter** = Favorable momentum **Result**: Higher probability setups with better risk:reward ### Filter Optimization **Conservative Settings** (Fewer, Higher Quality Signals): - ATR Filter: ON - Swing Candles: 5 - RSI Filter: ON - Shadow %: 75% **Aggressive Settings** (More Signals, More Noise): - ATR Filter: OFF - Swing Candles: 2 - RSI Filter: OFF - Shadow %: 65% **Balanced Settings** (Recommended): - ATR Filter: ON - Swing Candles: 3 - RSI Filter: OFF (or ON for trending markets) - Shadow %: 72% --- ## ๐Ÿ” Troubleshooting ### "No Signals Appearing" **Possible Causes:** 1. Filters are too strict 2. No pinbars forming on chart 3. Insufficient bar history **Solutions:** - Reduce Shadow % to 65% - Reduce Swing Candles to 2 - Disable ATR or RSI filters temporarily - Check that chart has enough data loaded ### "Too Many Signals" **Solutions:** - Enable ATR filter - Increase Swing Candles to 4-5 - Enable RSI filter - Increase Shadow % to 75-80% ### "Signals Appearing Late" **This is normal behavior!** The indicator: - Analyzes previous closed bar - Signals appear on the bar AFTER the pinbar - This is what prevents repainting - Signal latency is 1 bar (by design) --- ## ๐Ÿ“ Technical Specifications **Indicator Type:** Overlay (displays on price chart) **Pine Script Version:** 5 **Max Labels:** 500 **Max Lines:** 500 **Repainting:** None (100% non-repainting) **Data Window Values:** 8 exported values **Alert Types:** 3 (Combined, Bullish, Bearish) **Performance:** - Lightweight script (fast execution) - Works on all timeframes - Compatible with all markets (Forex, Crypto, Stocks, Futures) - No data snooping bias --- ## ๐ŸŽฏ Use Cases ### 1. **Swing Trading** - Timeframe: Daily, 4H - Filter Settings: All enabled - Best for: Catching major reversals ### 2. **Day Trading** - Timeframe: 15m, 1H - Filter Settings: ATR + SWING only - Best for: Intraday reversals ### 3. **Scalping** - Timeframe: 5m, 15m - Filter Settings: SWING only (aggressive) - Best for: Quick reversals (requires experience) ### 4. **Position Trading** - Timeframe: Weekly, Daily - Filter Settings: All enabled + high RR (2:1 or 3:1) - Best for: Long-term trend reversal catches --- ## ๐Ÿ† Advantages Over Other Pinbar Indicators โœ… **Guaranteed Non-Repainting** - Many pinbar indicators repaint; this one never does โœ… **Automatic SL/TP** - No manual calculation needed โœ… **Multi-Layer Filtering** - Reduces false signals significantly โœ… **Visual Trade Management** - Clear entry, stop, and target levels โœ… **Flexible Configuration** - Adaptable to any trading style โœ… **Alert System** - Never miss a setup โœ… **Backtesting Ready** - Reliable historical data โœ… **Professional Grade** - Suitable for live trading --- ## ๐Ÿ“š Educational Resources ### Recommended Reading on Pinbars - "The Pin Bar Trading Strategy" by Nial Fuller - "Price Action Trading" by Al Brooks - TradingView Education: Price Action Patterns ### Practice Recommendations 1. Paper trade signals for 20+ trades before live trading 2. Backtest on different timeframes and markets 3. Keep detailed records of all trades 4. Analyze winning vs losing setups 5. Refine filter settings based on results --- ## โš–๏ธ Disclaimer This indicator is a tool for technical analysis and does not guarantee profits. Trading involves substantial risk of loss. Past performance is not indicative of future results. - Always use proper risk management - Never risk more than you can afford to lose - Consider your trading experience and objectives - Seek independent financial advice if needed --- ## ๐Ÿ“ง Version Information **Current Version:** 1.0 **Last Updated:** 2024 **Compatibility:** TradingView Pine Script v5 **Status:** Production Ready --- ## ๐Ÿ”„ Future Enhancements (Potential) Possible future additions: - Multi-timeframe confirmation option - Volume filter integration - Customizable color schemes - Win rate statistics display - Partial profit taking levels - Trailing stop functionality --- ## ๐Ÿ“– Quick Start Guide ### 5-Minute Setup 1. **Add to Chart** - Open TradingView - Go to Pine Editor - Paste the code - Click "Add to Chart" 2. **Configure Settings** - Open indicator settings (gear icon) - Start with default settings - Enable "Show SL and TP Lines" 3. **Set Alert** - Right-click indicator name - Click "Add Alert" - Select "Pinbar Signal (Any Direction)" - Configure notification method 4. **Test** - Scroll back on chart - Verify signals make sense - Check that signals don't repaint 5. **Trade** (After Practice!) - Wait for alert - Verify signal quality - Enter, place SL/TP - Manage trade --- ## ๐ŸŽฏ Final Thoughts The **Pinbar MTF - No Repaint** indicator is designed for serious traders who value: - **Reliability** over flashy signals - **Quality** over quantity - **Honesty** over false promises This indicator will NOT: - Make you rich overnight - Win every trade - Replace proper trading education This indicator WILL: - Identify high-probability reversal setups - Save you analysis time - Provide consistent, non-repainting signals - Help you develop a systematic trading approach **Success in trading comes from:** 1. Proper education (60%) 2. Risk management (30%) 3. Technical tools like this indicator (10%) Use this tool as part of a complete trading plan, not as a standalone solution.
Penunjuk Pine Scriptยฎ
oleh Makshels
Custom Checklist# Custom Checklist - Trading Preparation & Reminders A fully customizable checklist overlay indicator for TradingView that helps traders maintain discipline and follow their trading routine systematically. ## ๐ŸŽฏ Purpose This indicator serves as a visual reminder system on your charts to ensure you complete all necessary analysis steps before entering a trade. Perfect for traders who want to maintain consistency and avoid emotional or rushed trading decisions. ## โœจ Key Features - **20 Customizable Lines**: Create your own checklist items with any text you need - **Flexible Display Options**: - Show/hide title header - Toggle entire checklist on/off - Position anywhere on chart (9 positions available) - Adjustable text size (tiny to huge) - **Symbol Filtering**: Option to show checklist only on specific symbols (BTC/USD, GOLD, SPX500, USOIL) - **Customizable Appearance**: - Background color - Text color - Border color - Transparency controls - **Clean Interface**: Empty by default - add only the items you need ## ๐Ÿ“‹ Use Cases - **Morning Routine**: Daily market preparation checklist - **Trade Entry Rules**: Verify all setup conditions are met - **Risk Management**: Confirm stop-loss, position size, and exit strategy - **Multi-Timeframe Analysis**: Ensure you checked all required timeframes - **Technical Analysis**: Track which indicators and patterns you've reviewed - **News & Events**: Remember to check economic calendar and news - **Personal Rules**: Your custom trading rules and reminders ## ๐ŸŽจ Customization Every aspect is customizable: - All 20 lines can be edited to your needs - Only non-empty lines are displayed - Table position adjustable to any corner or middle position - Color scheme fully customizable to match your chart theme - Text size scalable for different screen sizes ## ๐Ÿ’ก How to Use 1. Add indicator to your chart 2. Open Settings > Checklist Items 3. Fill in your checklist items (Line 1, Line 2, etc.) 4. Customize colors and position in Display Settings 5. Optional: Enable "Show Only on Specific Symbols" to show on select instruments ## ๐Ÿ”ง Display Settings - **Checklist Title**: Custom header for your checklist - **Show Title Header**: Toggle title display - **Show Checklist**: Master on/off switch - **Symbol Filter**: Restrict display to specific trading instruments - **Position**: 9 placement options (corners and middle positions) - **Text Size**: 5 size options (tiny, small, normal, large, huge) - **Colors**: Background, text, and border fully customizable ## ๐Ÿ“ Example Checklist Ideas **Swing Trading:** - Support/Resistance levels identified - Trend direction confirmed - Volume analysis completed - RSI/MACD signals checked - Risk/Reward ratio calculated **Day Trading:** - Pre-market review done - Key levels marked - Economic calendar checked - Trading plan written - Position size calculated **Technical Analysis:** - Multiple timeframe alignment - Chart patterns identified - Moving averages reviewed - Fibonacci levels drawn - Volume profile analyzed ## โš™๏ธ Technical Details - Pine Script v6 - Overlay indicator (displays on main chart) - Lightweight - no complex calculations - No repainting - Works on all timeframes and instruments ## ๐ŸŽ“ Perfect For - Beginner traders learning systematic analysis - Experienced traders maintaining discipline - Anyone who wants visual trading reminders - Traders following multi-step strategies - Those prone to FOMO or emotional trading --- **Note**: This is a visual tool only. It does not generate trading signals or perform analysis. It serves as a reminder checklist to help you follow your own trading process consistently.
Penunjuk Pine Scriptยฎ
oleh cfircoo
Custom Checklist# Custom Checklist - Trading Preparation & Reminders A fully customizable checklist overlay indicator for TradingView that helps traders maintain discipline and follow their trading routine systematically. ## ๐ŸŽฏ Purpose This indicator serves as a visual reminder system on your charts to ensure you complete all necessary analysis steps before entering a trade. Perfect for traders who want to maintain consistency and avoid emotional or rushed trading decisions. ## โœจ Key Features - **20 Customizable Lines**: Create your own checklist items with any text you need - **Flexible Display Options**: - Show/hide title header - Toggle entire checklist on/off - Position anywhere on chart (9 positions available) - Adjustable text size (tiny to huge) - **Symbol Filtering**: Option to show checklist only on specific symbols (BTC/USD, GOLD, SPX500, USOIL) - **Customizable Appearance**: - Background color - Text color - Border color - Transparency controls - **Clean Interface**: Empty by default - add only the items you need ## ๐Ÿ“‹ Use Cases - **Morning Routine**: Daily market preparation checklist - **Trade Entry Rules**: Verify all setup conditions are met - **Risk Management**: Confirm stop-loss, position size, and exit strategy - **Multi-Timeframe Analysis**: Ensure you checked all required timeframes - **Technical Analysis**: Track which indicators and patterns you've reviewed - **News & Events**: Remember to check economic calendar and news - **Personal Rules**: Your custom trading rules and reminders ## ๐ŸŽจ Customization Every aspect is customizable: - All 20 lines can be edited to your needs - Only non-empty lines are displayed - Table position adjustable to any corner or middle position - Color scheme fully customizable to match your chart theme - Text size scalable for different screen sizes ## ๐Ÿ’ก How to Use 1. Add indicator to your chart 2. Open Settings > Checklist Items 3. Fill in your checklist items (Line 1, Line 2, etc.) 4. Customize colors and position in Display Settings 5. Optional: Enable "Show Only on Specific Symbols" to show on select instruments ## ๐Ÿ”ง Display Settings - **Checklist Title**: Custom header for your checklist - **Show Title Header**: Toggle title display - **Show Checklist**: Master on/off switch - **Symbol Filter**: Restrict display to specific trading instruments - **Position**: 9 placement options (corners and middle positions) - **Text Size**: 5 size options (tiny, small, normal, large, huge) - **Colors**: Background, text, and border fully customizable ## ๐Ÿ“ Example Checklist Ideas **Swing Trading:** - Support/Resistance levels identified - Trend direction confirmed - Volume analysis completed - RSI/MACD signals checked - Risk/Reward ratio calculated **Day Trading:** - Pre-market review done - Key levels marked - Economic calendar checked - Trading plan written - Position size calculated **Technical Analysis:** - Multiple timeframe alignment - Chart patterns identified - Moving averages reviewed - Fibonacci levels drawn - Volume profile analyzed ## โš™๏ธ Technical Details - Pine Script v6 - Overlay indicator (displays on main chart) - Lightweight - no complex calculations - No repainting - Works on all timeframes and instruments ## ๐ŸŽ“ Perfect For - Beginner traders learning systematic analysis - Experienced traders maintaining discipline - Anyone who wants visual trading reminders - Traders following multi-step strategies - Those prone to FOMO or emotional trading --- **Note**: This is a visual tool only. It does not generate trading signals or perform analysis. It serves as a reminder checklist to help you follow your own trading process consistently.
Penunjuk Pine Scriptยฎ
oleh cfircoo
Opening Range Breakout with Multi-Timeframe Liquidity]โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• OPENING RANGE BREAKOUT WITH MULTI-TIMEFRAME LIQUIDITY โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• A professional Opening Range Breakout (ORB) indicator enhanced with multi-timeframe liquidity detection, trading session visualization, volume analysis, and trend confirmation tools. Designed for intraday trading with comprehensive alert system. โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ WHAT THIS INDICATOR DOES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ This indicator combines multiple trading concepts: - Opening Range Breakout (ORB) - Customizable time period detection with automatic high/low identification - Multi-Timeframe Liquidity - HTF (Higher Timeframe) and LTF (Lower Timeframe) key level detection - Trading Sessions - Tokyo, London, New York, and Sydney session visualization - Volume Analysis - Volume spike detection and strength measurement - Multi-Timeframe Confirmation - Trend bias from higher timeframes - EMA Integration - Trend filter and dynamic support/resistance - Smart Alerts - Quality-filtered breakout notifications โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ HOW IT WORKS โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ OPENING RANGE BREAKOUT (ORB): Concept: The Opening Range is a period at the start of a trading session where price establishes an initial high and low. Breakouts beyond this range often indicate the direction of the day's trend. Detection Method: - Default: 15-minute opening range (configurable) - Custom Range: Set specific session times with timezone support - Automatically identifies ORH (Opening Range High) and ORL (Opening Range Low) - Tracks ORB mid-point for reference Range Establishment: 1. Session starts (or custom time begins) 2. Tracks highest high and lowest low during the period 3. Range confirmed at end of opening period 4. Levels extend throughout the session Breakout Detection: - Bullish Breakout: Close above ORH - Bearish Breakout: Close below ORL - Mid-point acts as bias indicator Visual Display: - Shaded box during range formation - Horizontal lines for ORH, ORL, and mid-point - Labels showing level values - Color-coded fills based on selected method Fill Color Methods: 1. Session Comparison: - Green: Current OR mid > Previous OR mid - Red: Current OR mid < Previous OR mid - Gray: Equal or first session - Shows day-over-day momentum 2. Breakout Direction (Recommended): - Green: Price currently above ORH (bullish breakout) - Red: Price currently below ORL (bearish breakout) - Gray: Price inside range (no breakout) - Real-time breakout status MULTI-TIMEFRAME LIQUIDITY: Two-Tier System for comprehensive level identification: HTF (Higher Timeframe) Key Liquidity: - Default: 4H timeframe (configurable to Daily, Weekly) - Identifies major institutional levels - Uses pivot detection with adjustable parameters - Suitable for swing highs/lows where large orders rest LTF (Lower Timeframe) Key Liquidity: - Default: 1H timeframe (configurable) - Provides precision entry/exit levels - Finer granularity for intraday trading - Captures minor swing points Calculation Method: - Pivot high/low detection algorithm - Configurable left bars (lookback) and right bars (confirmation) - Timeframe multiplier for accurate multi-timeframe detection - Automatic level extension Mitigation System: - Tracks when levels are swept (broken) - Configurable mitigation type: Wick or Close-based - Option to remove or show mitigated levels - Display limit prevents chart clutter Asset-Specific Optimization: The indicator includes quick reference settings for different assets: - Major Forex (EUR/USD, GBP/USD): Default settings optimal - Crypto (BTC/ETH): Left=12, Right=4, Display=7 - Gold: HTF=1D, Left=20 TRADING SESSIONS: Four Major Sessions with Full Customization: Tokyo Session: - Default: 04:00-13:00 UTC+4 - Asian trading hours - Often sets daily range London Session: - Default: 11:00-20:00 UTC+4 - Highest liquidity period - Major institutional activity New York Session: - Default: 16:00-01:00 UTC+4 - US market hours - High-impact news events Sydney Session: - Default: 01:00-10:00 UTC+4 - Earliest Asian activity - Lower volatility Session Features: - Shaded background boxes - Session name labels - Optional open/close lines - Session high/low tracking with colored lines - Each session has independent color settings - Fully customizable times and timezones VOLUME ANALYSIS: Volume-Based Trade Confirmation: Volume MA: - Configurable period (default: 20) - Establishes average volume baseline - Used for spike detection Volume Spike Detection: - Identifies when volume exceeds MA * multiplier - Default: 1.5x average volume - Confirms breakout strength Volume Strength Measurement: - Calculates current volume as percentage of average - Shows relative volume intensity - Used in alert quality filtering High Volume Bars: - Identifies bars above 50th percentile - Additional confirmation layer - Indicates institutional participation MULTI-TIMEFRAME CONFIRMATION: Trend Bias from Higher Timeframes: HTF 1 (Trend): - Default: 1H timeframe - Uses EMA to determine intermediate trend - Compares current timeframe EMA to HTF EMA HTF 2 (Bias): - Default: 4H timeframe - Uses 50 EMA for longer-term bias - Confirms overall market direction Bias Classifications: - Bullish Bias: HTF close > HTF 50 EMA AND Current EMA > HTF1 EMA - Bearish Bias: HTF close < HTF 50 EMA AND Current EMA < HTF1 EMA - Neutral Bias: Mixed signals between timeframes EMA Stack Analysis: - Compares EMA alignment across timeframes - +1: Bullish stack (lower TF EMA > higher TF EMA) - -1: Bearish stack (lower TF EMA < higher TF EMA) - 0: Neutral/crossed Usage: - Filters false breakouts - Confirms trend direction - Improves trade quality EMA INTEGRATION: Dynamic EMA for Trend Reference: Features: - Configurable period (default: 20) - Customizable color and width - Acts as dynamic support/resistance - Trend filter for ORB trades Application: - Above EMA: Favor long breakouts - Below EMA: Favor short breakouts - EMA cross: Potential trend change - Distance from EMA: Momentum gauge SMART ALERT SYSTEM: Quality-Filtered Breakout Notifications: Alert Types: 1. Standard ORB Breakout 2. High Quality ORB Breakout Quality Criteria: - Volume Confirmation: Volume > 1.2x average - MTF Confirmation: Bias aligned with breakout direction Standard Alert: - Basic breakout detection - Price crosses ORH or ORL - Icon: ๐Ÿš€ (bullish) or ๐Ÿ”ป (bearish) High Quality Alert: - Both volume AND MTF confirmed - Stronger probability setup - Icon: ๐Ÿš€โญ (bullish) or ๐Ÿ”ปโญ (bearish) Alert Information Includes: - Alert quality rating - Breakout level and current price - Volume strength percentage (if enabled) - MTF bias status (if enabled) - Recommended action One Alert Per Bar: - Prevents alert spam - Uses flag system to track sent alerts - Resets on new ORB session โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ HOW TO USE โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ OPENING RANGE SETUP: Basic Configuration: 1. Select time period for opening range (default: 15 minutes) 2. Choose fill color method (Breakout Direction recommended) 3. Enable historical data display if needed Custom Range (Advanced): 1. Enable Custom Range toggle 2. Set specific session time (e.g., 0930-0945) 3. Select appropriate timezone 4. Useful for specific market opens (NYSE, LSE, etc.) LIQUIDITY LEVELS SETUP: Quick Configuration by Asset: - Forex: Use default settings (Left=15, Right=5) - Crypto: Set Left=12, Right=4, Display=7 - Gold: Set HTF=1D, Left=20 HTF Liquidity: - Purpose: Major support/resistance levels - Recommended: 4H for day trading, 1D for swing trading - Use as profit targets or reversal zones LTF Liquidity: - Purpose: Entry/exit refinement - Recommended: 1H for day trading, 4H for swing trading - Use for position management Mitigation Settings: - Wick-based: More sensitive (default) - Close-based: More conservative - Remove or Show mitigated levels based on preference TRADING SESSIONS SETUP: Enable/Disable Sessions: - Master toggle for all sessions - Individual session controls - Show/hide session names Session High/Low Lines: - Enable to see session extremes - Each session has custom colors - Useful for range trading Customization: - Adjust session times for your broker - Set timezone to match your location - Customize colors for visibility VOLUME ANALYSIS SETUP: Enable Volume Analysis: 1. Toggle on Volume Analysis 2. Set MA length (20 recommended) 3. Adjust spike multiplier (1.5 typical) Usage: - Confirm breakouts with volume - Identify climactic moves - Filter false signals MULTI-TIMEFRAME SETUP: HTF Selection: - HTF 1 (Trend): 1H for day trading, 4H for swing - HTF 2 (Bias): 4H for day trading, 1D for swing Interpretation: - Trade only with bias alignment - Neutral bias: Be cautious - Bias changes: Potential reversals EMA SETUP: Configuration: - Period: 20 for responsive, 50 for smoother - Color: Choose contrasting color - Width: 1-2 for visibility Usage: - Filter trades: Long above, Short below - Dynamic support/resistance reference - Trend confirmation ALERT SETUP: TradingView Alert Creation: 1. Enable alerts in indicator settings 2. Enable ORB Breakout Alerts 3. Right-click chart โ†’ Add Alert 4. Select this indicator 5. Choose "Any alert() function call" 6. Configure delivery method (mobile, email, webhook) Alert Filtering: - All alerts include quality rating - High Quality alerts = Volume + MTF confirmed - Standard alerts = Basic breakout only โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ TRADING STRATEGIES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ CLASSIC ORB STRATEGY: Setup: 1. Wait for opening range to complete 2. Price breaks and closes above ORH or below ORL 3. Volume > average (if enabled) 4. MTF bias aligned (if enabled) Entry: - Bullish: Buy on break above ORH - Bearish: Sell on break below ORL - Consider retest entries for better risk/reward Stop Loss: - Bullish: Below ORL or range mid-point - Bearish: Above ORH or range mid-point - Adjust based on volatility Targets: - Initial: Range width extension (ORH + range width) - Secondary: HTF liquidity levels - Final: Session high/low or major support/resistance ORB + LIQUIDITY CONFLUENCE: Enhanced Setup: 1. Opening range established 2. HTF liquidity level near or beyond ORH/ORL 3. Breakout occurs with volume 4. Price targets the liquidity level Entry: - Enter on ORB breakout - Target the HTF liquidity level - Use LTF liquidity for position management Management: - Partial profits at ORB + range width - Move stop to breakeven at LTF liquidity - Final exit at HTF liquidity sweep ORB REJECTION STRATEGY (Counter-Trend): Setup: 1. Price breaks above ORH or below ORL 2. Weak volume (below average) 3. MTF bias opposite to breakout 4. Price closes back inside range Entry: - Failed bullish break: Short below ORH - Failed bearish break: Long above ORL Stop Loss: - Beyond the failed breakout level - Or beyond session extreme Target: - Opposite end of opening range - Range mid-point for partial profit SESSION-BASED ORB TRADING: Tokyo Session: - Typically narrower ranges - Good for range trading - Wait for London open breakout London Session: - Highest volume and volatility - Strong ORB setups - Major liquidity sweeps common New York Session: - Strong trending moves - News-driven volatility - Good for momentum trades Sydney Session: - Quieter conditions - Suitable for range strategies - Sets up Tokyo session EMA-FILTERED ORB: Rules: - Only take bullish breaks if price > EMA - Only take bearish breaks if price < EMA - Ignore counter-trend breaks Benefits: - Reduces false signals - Aligns with larger trend - Improves win rate โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ CONFIGURATION GUIDE โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ OPENING RANGE SETTINGS: Time Period: - 15 min: Standard for most markets - 30 min: Wider range, fewer breakouts - 60 min: For slower markets or swing trades Custom Range: - Use for specific market opens - NYSE: 0930-1000 EST - LSE: 0800-0830 GMT - Set timezone to match exchange Historical Display: - Enable: See all previous session data - Disable: Cleaner chart, current session only LIQUIDITY SETTINGS: Left Bars (5-30): - Lower: More frequent, sensitive levels - Higher: Fewer, more significant levels - Recommended: 15 for most markets Right Bars (1-25): - Confirmation period - Higher: More reliable, less frequent - Recommended: 5 for balance Display Limit (1-20): - Number of active levels shown - Higher: More context, busier chart - Recommended: 7 for clarity Extension Options: - Short: Levels visible near formation - Current: Extended to current bar (recommended) - Max: Extended indefinitely VOLUME SETTINGS: MA Length (5-50): - Shorter: More responsive to spikes - Longer: Smoother baseline - Recommended: 20 for balance Spike Multiplier (1.0-3.0): - Lower: More sensitive spike detection - Higher: Only extreme spikes - Recommended: 1.5 for day trading MULTI-TIMEFRAME SETTINGS: HTF 1 (Trend): - 5m chart: Use 15m or 1H - 15m chart: Use 1H or 4H - 1H chart: Use 4H or 1D HTF 2 (Bias): - One level higher than HTF 1 - Provides longer-term context - Don't use same as HTF 1 EMA SETTINGS: Length: - 20: Responsive, more signals - 50: Smoother, stronger filter - 200: Long-term trend only Style: - Choose contrasting color - Width 1-2 for visibility - Match your trading style โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ BEST PRACTICES โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ Chart Timeframe Selection: - ORB Trading: Use 5m or 15m charts - Session Review: Use 1H or 4H charts - Swing Trading: Use 1H or 4H charts Quality Over Quantity: - Wait for high-quality alerts (volume + MTF) - Avoid trading every breakout - Focus on confluence setups Risk Management: - Position size based on range width - Wider ranges = smaller positions - Use stop losses always - Take partial profits at targets Market Conditions: - Best results in trending markets - Reduce position size in choppy conditions - Consider session overlaps for volatility - Avoid trading near major news if inexperienced Continuous Improvement: - Track win rate by session - Note which confluence factors work best - Adjust settings based on market volatility - Review performance weekly โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ PERFORMANCE OPTIMIZATION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ This indicator is optimized with: - max_bars_back declarations for efficient processing - Conditional calculations based on enabled features - Proper memory management for drawing objects - Minimal recalculation on each bar Best Practices: - Disable unused features (sessions, MTF, volume) - Limit historical display to reduce rendering - Use appropriate timeframe for your strategy - Clear old drawing objects periodically โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ EDUCATIONAL DISCLAIMER โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ This indicator combines established trading concepts: - Opening Range Breakout theory (price action) - Liquidity level detection (pivot analysis) - Session-based trading (time-of-day patterns) - Volume analysis (confirmation technique) - Multi-timeframe analysis (trend alignment) All calculations use standard technical analysis methods: - Pivot high/low detection algorithms - Moving averages for trend and volume - Session time filtering - Timeframe security functions The indicator identifies potential trading setups but does not predict future price movements. Success requires proper application within a complete trading strategy including risk management, position sizing, and market context. โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ USAGE DISCLAIMER โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ This tool is for educational and analytical purposes. Opening Range Breakout trading involves substantial risk. The alert system and quality filters are designed to identify potential setups but do not guarantee profitability. Always conduct independent analysis, use proper risk management, and never risk capital you cannot afford to lose. Past performance does not indicate future results. Trading intraday breakouts requires experience and discipline. โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ CREDITS & ATTRIBUTION โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ ORIGINAL SOURCE: This indicator builds upon concepts from LuxAlgo's-ORB
Penunjuk Pine Scriptยฎ
oleh Fx-Jithin
2
Price Action Brooks ProPrice Action Brooks Pro (PABP) - Professional Trading Indicator โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“Š OVERVIEW Price Action Brooks Pro (PABP) is a professional-grade TradingView indicator developed based on Al Brooks' Price Action trading methodology. It integrates decades of Al Brooks' trading experience and price action analysis techniques into a comprehensive technical analysis tool, helping traders accurately interpret market structure and identify trading opportunities. โ€ข Applicable Markets: Stocks, Futures, Forex, Cryptocurrencies โ€ข Timeframes: 1-minute to Daily (5-minute chart recommended) โ€ข Theoretical Foundation: Al Brooks Price Action Trading Method โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐ŸŽฏ CORE FEATURES โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” 1๏ธโƒฃ INTELLIGENT GAP DETECTION SYSTEM Automatically identifies and marks three critical types of gaps in the market. TRADITIONAL GAP โ€ข Detects complete price gaps between bars โ€ข Upward gap: Current bar's low > Previous bar's high โ€ข Downward gap: Current bar's high < Previous bar's low โ€ข Hollow border design - doesn't obscure price action โ€ข Color coding: Upward gaps (light green), Downward gaps (light pink) โ€ข Adjustable border: 1-5 pixel width options TAIL GAP โ€ข Detects price gaps between bar wicks/shadows โ€ข Analyzes across 3 bars for precision โ€ข Identifies hidden market structure BODY GAP โ€ข Focuses only on gaps between bar bodies (open/close) โ€ข Filters out wick noise โ€ข Disabled by default, enable as needed Trading Significance: โ€ข Gaps signal strong momentum โ€ข Gap fills provide trading opportunities โ€ข Consecutive gaps indicate trend continuation โœ“ Independent alert system for all gap types โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” 2๏ธโƒฃ RTH BAR COUNT (Trading Session Counter) Intelligent counting system designed for US stock intraday trading. FEATURES โ€ข RTH Only Display: Regular Trading Hours (09:30-15:00 EST) โ€ข 5-Minute Chart Optimized: Displays every 3 bars (15-minute intervals) โ€ข Daily Auto-Reset: Counting starts from 1 each trading day SMART COLOR CODING โ€ข ๐Ÿ”ด Red (Bars 18 & 48): Critical turning moments (1.5h & 4h) โ€ข ๐Ÿ”ต Sky Blue (Multiples of 12): Hourly markers (12, 24, 36...) โ€ข ๐ŸŸข Light Green (Bar 6): Half-hour marker (30 minutes) โ€ข โšซ Gray (Others): Regular 15-minute interval markers Al Brooks Time Theory: โ€ข Bar 18 (90 min): First 90 minutes determine daily trend โ€ข Bar 48 (4 hours): Important afternoon turning point โ€ข Hourly markers: Track institutional trading rhythm โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” 3๏ธโƒฃ FOUR-LINE EMA SYSTEM Professional-grade configurable moving average system. DEFAULT CONFIGURATION โ€ข EMA 20: Short-term trend (Al Brooks' most important MA) โ€ข EMA 50: Medium-short term reference โ€ข EMA 100: Medium-long term confirmation โ€ข EMA 200: Long-term trend and bull/bear dividing line FLEXIBLE CUSTOMIZATION Each EMA can be independently configured: โ€ข On/Off toggle โ€ข Data source selection (close/high/low/open, etc.) โ€ข Custom period length โ€ข Offset adjustment โ€ข Color and transparency COLOR SCHEME โ€ข EMA 20: Dark brown, opaque (most important) โ€ข EMA 50/100/200: Blue-purple gradient, 70% transparent TRADING APPLICATIONS โ€ข Bullish Alignment: Price > 20 > 50 > 100 > 200 โ€ข Bearish Alignment: 200 > 100 > 50 > 20 > Price โ€ข EMA Confluence: All within <1% = major move precursor Al Brooks Quote: "The EMA 20 is the most important moving average. Almost all trading decisions should reference it." โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” 4๏ธโƒฃ PREVIOUS VALUES (Key Prior Price Levels) Automatically marks important price levels that often act as support/resistance. THREE INDEPENDENT CONFIGURATIONS Each group configurable for: โ€ข Timeframe (1D/60min/15min, etc.) โ€ข Price source (close/high/low/open/CurrentOpen, etc.) โ€ข Line style and color โ€ข Display duration (Today/TimeFrame/All) SMART OPEN PRICE LABELS โญ โ€ข Auto-displays "Open" label when CurrentOpen selected โ€ข Label color matches line color โ€ข Customizable label size TYPICAL SETUP โ€ข 1st Line: Previous close (Support/Resistance) โ€ข 2nd Line: Previous high (Breakout target) โ€ข 3rd Line: Previous low (Support level) Al Brooks Magnet Price Theory: โ€ข Previous open: Price frequently tests opening price โ€ข Previous high/low: Strongest support/resistance โ€ข Breakout confirmation: Breaking prior levels = trend continuation โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” 5๏ธโƒฃ INSIDE & OUTSIDE BAR PATTERN RECOGNITION Automatically detects core candlestick patterns from Al Brooks' theory. ii PATTERN (Consecutive Inside Bars) โ€ข Current bar contained within previous bar โ€ข Two or more consecutive โ€ข Labels: ii, iii, iiii (auto-accumulates) โ€ข High-probability breakout setup โ€ข Stop loss: Outside both bars Trading Significance: "Inside bars are one of the most reliable breakout setups, especially three or more consecutive inside bars." - Al Brooks OO PATTERN (Consecutive Outside Bars) โ€ข Current bar engulfs previous bar โ€ข Two or more consecutive โ€ข Labels: oo, ooo (auto-accumulates) โ€ข Indicates indecision or volatility increase ioi PATTERN (Inside-Outside-Inside) โ€ข Three-bar combination: Inside โ†’ Outside โ†’ Inside โ€ข Auto-detected and labeled โ€ข Tug-of-war pattern โ€ข Breakout direction often very strong SMART LABEL SYSTEM โ€ข Auto-accumulation counting โ€ข Dynamic label updates โ€ข Customizable size and color โ€ข Positioned above bars โœ“ Independent alerts for all patterns โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ’ก USE CASES INTRADAY TRADING โœ“ Bar Count (timing rhythm) โœ“ Traditional Gap (strong signals) โœ“ EMA 20 + 50 (quick trend) โœ“ ii/ioi Patterns (breakout points) SWING TRADING โœ“ Previous Values (key levels) โœ“ EMA 20 + 50 + 100 (trend analysis) โœ“ Gaps (trend confirmation) โœ“ iii Patterns (entry timing) TREND FOLLOWING โœ“ All four EMAs (alignment analysis) โœ“ Gaps (continuation signals) โœ“ Previous Values (targets) BREAKOUT TRADING โœ“ iii Pattern (high-reliability setup) โœ“ Previous Values (targets) โœ“ EMA 20 (trend direction) โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐ŸŽจ DESIGN FEATURES PROFESSIONAL COLOR SCHEME โ€ข Gaps: Hollow borders + light colors โ€ข Bar Count: Smart multi-color coding โ€ข EMAs: Gradient colors + transparency hierarchy โ€ข Previous Values: Customizable + smart labels CLEAR VISUAL HIERARCHY โ€ข Important elements: Opaque (EMA 20, bar count) โ€ข Reference elements: Semi-transparent (other EMAs, gaps) โ€ข Hollow design: Doesn't obscure price action USER-FRIENDLY INTERFACE โ€ข Clear functional grouping โ€ข Inline layout saves space โ€ข All colors and sizes customizable โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“š AL BROOKS THEORY CORE READING PRICE ACTION "Don't try to predict the market, read what the market is telling you." PABP converts core concepts into visual tools: โ€ข Trend Assessment: EMA system โ€ข Time Rhythm: Bar Count โ€ข Market Structure: Gap analysis โ€ข Trade Setups: Inside/Outside Bars โ€ข Support/Resistance: Previous Values PROBABILITY THINKING โ€ข ii pattern: Medium probability โ€ข iii pattern: High probability โ€ข iii + EMA 20 support: Very high probability โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš™๏ธ TECHNICAL SPECIFICATIONS โ€ข Pine Script Version: v6 โ€ข Maximum Objects: 500 lines, 500 labels, 500 boxes โ€ข Alert Functions: 8 independent alerts โ€ข Supported Timeframes: All (5-min recommended for Bar Count) โ€ข Compatibility: All TradingView plans, Mobile & Desktop โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿš€ RECOMMENDED INITIAL SETTINGS GAPS โ€ข Traditional Gap: โœ“ โ€ข Tail Gap: โœ“ โ€ข Border Width: 2 BAR COUNT โ€ข Use Bar Count: โœ“ โ€ข Label Size: Normal EMA โ€ข EMA 20: โœ“ โ€ข EMA 50: โœ“ โ€ข EMA 100: โœ“ โ€ข EMA 200: โœ“ PREVIOUS VALUES โ€ข 1st: close (Previous close) โ€ข 2nd: high (Previous high) โ€ข 3rd: low (Previous low) INSIDE & OUTSIDE BAR โ€ข All patterns: โœ“ โ€ข Label Size: Large โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐ŸŒŸ WHY CHOOSE PABP? โœ… Solid Theoretical Foundation Based on Al Brooks' decades of trading experience โœ… Complete Professional Features Systematizes complex price action analysis โœ… Highly Customizable Every feature adjustable to personal style โœ… Excellent Performance Optimized code ensures smooth experience โœ… Continuous Updates Constantly improving based on feedback โœ… Suitable for All Levels Benefits beginners to professionals โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“– RECOMMENDED LEARNING Al Brooks Books: โ€ข "Trading Price Action Trends" โ€ข "Trading Price Action Trading Ranges" โ€ข "Trading Price Action Reversals" Learning Path: 1. Understand basic candlestick patterns 2. Learn EMA applications 3. Master market structure analysis 4. Develop trading system 5. Continuous practice and optimization โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš ๏ธ RISK DISCLOSURE IMPORTANT NOTICE: โ€ข For educational and informational purposes only โ€ข Does not constitute investment advice โ€ข Past performance doesn't guarantee future results โ€ข Trading involves risk and may result in capital loss โ€ข Trade according to your risk tolerance โ€ข Test thoroughly in demo account first RESPONSIBLE TRADING: โ€ข Always use stop losses โ€ข Control position sizes reasonably โ€ข Don't overtrade โ€ข Continuous learning and improvement โ€ข Keep trading journal โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“œ COPYRIGHT Price Action Brooks Pro (PABP) Author: ยฉ JimmC98 License: Mozilla Public License 2.0 Pine Script Version: v6 Acknowledgments: Thanks to Dr. Al Brooks for his contributions to price action trading. This indicator is developed based on his theories. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Experience professional-grade price action analysis now! "The best traders read price action, not indicators. But when indicators help you read price action better, use them." - Al Brooks
Penunjuk Pine Scriptยฎ
oleh JimmC98
1
Ultimate Oscillator (ULTOSC)The Ultimate Oscillator (ULTOSC) is a technical momentum indicator developed by Larry Williams that combines three different time periods to reduce the volatility and false signals common in single-period oscillators. By using a weighted average of three Stochastic-like calculations across short, medium, and long-term periods, the Ultimate Oscillator provides a more comprehensive view of market momentum while maintaining sensitivity to price changes. The indicator addresses the common problem of oscillators being either too sensitive (generating many false signals) or too slow (missing opportunities). By incorporating multiple timeframes with decreasing weights for longer periods, ULTOSC attempts to capture both short-term momentum shifts and longer-term trend strength, making it particularly valuable for identifying divergences and potential reversal points. ## Core Concepts * **Multi-timeframe analysis:** Combines three different periods (typically 7, 14, 28) to capture various momentum cycles * **Weighted averaging:** Assigns higher weights to shorter periods for responsiveness while including longer periods for stability * **Buying pressure focus:** Measures the relationship between closing price and the true range rather than just high-low range * **Divergence detection:** Particularly effective at identifying momentum divergences that precede price reversals * **Normalized scale:** Oscillates between 0 and 100, with clear overbought/oversold levels ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Fast Period | 7 | Short-term momentum calculation | Lower (5-6) for more sensitivity, higher (9-12) for smoother signals | | Medium Period | 14 | Medium-term momentum calculation | Adjust based on typical swing duration in the market | | Slow Period | 28 | Long-term momentum calculation | Higher values (35-42) for longer-term position trading | | Fast Weight | 4.0 | Weight applied to fast period | Higher weight increases short-term sensitivity | | Medium Weight | 2.0 | Weight applied to medium period | Adjust to balance medium-term influence | | Slow Weight | 1.0 | Weight applied to slow period | Usually kept at 1.0 as the baseline weight | **Pro Tip:** The classic 7/14/28 periods with 4/2/1 weights work well for most markets, but consider using 5/10/20 with adjusted weights for faster markets or 14/28/56 for longer-term analysis. ## Calculation and Mathematical Foundation **Simplified explanation:** The Ultimate Oscillator calculates three separate "buying pressure" ratios using different time periods, then combines them using weighted averaging. Buying pressure is defined as the close minus the true low, divided by the true range. **Technical formula:** ``` BP = Close - Min(Low, Previous Close) TR = Max(High, Previous Close) - Min(Low, Previous Close) BP_Sum_Fast = Sum(BP, Fast Period) TR_Sum_Fast = Sum(TR, Fast Period) Raw_Fast = 100 ร— (BP_Sum_Fast / TR_Sum_Fast) BP_Sum_Medium = Sum(BP, Medium Period) TR_Sum_Medium = Sum(TR, Medium Period) Raw_Medium = 100 ร— (BP_Sum_Medium / TR_Sum_Medium) BP_Sum_Slow = Sum(BP, Slow Period) TR_Sum_Slow = Sum(TR, Slow Period) Raw_Slow = 100 ร— (BP_Sum_Slow / TR_Sum_Slow) ULTOSC = 100 ร— / (Fast_Weight + Medium_Weight + Slow_Weight) ``` Where: - BP = Buying Pressure - TR = True Range - Fast Period = 7, Medium Period = 14, Slow Period = 28 (defaults) - Fast Weight = 4, Medium Weight = 2, Slow Weight = 1 (defaults) > ๐Ÿ” **Technical Note:** The implementation uses efficient circular buffers for all three period calculations, maintaining O(1) time complexity per bar. The algorithm properly handles true range calculations including gaps and ensures accurate buying pressure measurements across all timeframes. ## Interpretation Details ULTOSC provides several analytical perspectives: * **Overbought/Oversold conditions:** Values above 70 suggest overbought conditions, below 30 suggest oversold conditions * **Momentum direction:** Rising ULTOSC indicates increasing buying pressure, falling indicates increasing selling pressure * **Divergence analysis:** Divergences between ULTOSC and price often precede significant reversals * **Trend confirmation:** ULTOSC direction can confirm or question the prevailing price trend * **Signal quality:** Extreme readings (>80 or <20) indicate strong momentum that may be unsustainable * **Multiple timeframe consensus:** When all three underlying periods agree, signals are typically more reliable ## Trading Applications **Primary Uses:** - **Divergence trading:** Identify when momentum diverges from price for reversal signals - **Overbought/oversold identification:** Find potential entry/exit points at extreme levels - **Trend confirmation:** Validate breakouts and trend continuations - **Momentum analysis:** Assess the strength of current price movements **Advanced Strategies:** - **Multi-divergence confirmation:** Look for divergences across multiple timeframes - **Momentum breakouts:** Trade when ULTOSC breaks above/below key levels with volume - **Swing trading entries:** Use oversold/overbought levels for swing position entries - **Trend strength assessment:** Evaluate trend quality using momentum consistency ## Signal Combinations **Strong Bullish Signals:** - ULTOSC rises from oversold territory (<30) with positive price divergence - ULTOSC breaks above 50 after forming a base near 30 - All three underlying periods show increasing buying pressure **Strong Bearish Signals:** - ULTOSC falls from overbought territory (>70) with negative price divergence - ULTOSC breaks below 50 after forming a top near 70 - All three underlying periods show decreasing buying pressure **Divergence Signals:** - **Bullish divergence:** Price makes lower lows while ULTOSC makes higher lows - **Bearish divergence:** Price makes higher highs while ULTOSC makes lower highs - **Hidden bullish divergence:** Price makes higher lows while ULTOSC makes lower lows (trend continuation) - **Hidden bearish divergence:** Price makes lower highs while ULTOSC makes higher highs (trend continuation) ## Comparison with Related Oscillators | Indicator | Periods | Focus | Best Use Case | |-----------|---------|-------|---------------| | **Ultimate Oscillator** | 3 periods | Buying pressure | Divergence detection | | **Stochastic** | 1-2 periods | Price position | Overbought/oversold | | **RSI** | 1 period | Price momentum | Momentum analysis | | **Williams %R** | 1 period | Price position | Short-term signals | ## Advanced Configurations **Fast Trading Setup:** - Fast: 5, Medium: 10, Slow: 20 - Weights: 4/2/1, Thresholds: 75/25 **Standard Setup:** - Fast: 7, Medium: 14, Slow: 28 - Weights: 4/2/1, Thresholds: 70/30 **Conservative Setup:** - Fast: 14, Medium: 28, Slow: 56 - Weights: 3/2/1, Thresholds: 65/35 **Divergence Focused:** - Fast: 7, Medium: 14, Slow: 28 - Weights: 2/2/2, Thresholds: 70/30 ## Market-Specific Adjustments **Volatile Markets:** - Use longer periods (10/20/40) to reduce noise - Consider higher threshold levels (75/25) - Focus on extreme readings for signal quality **Trending Markets:** - Emphasize divergence analysis over absolute levels - Look for momentum confirmation rather than reversal signals - Use hidden divergences for trend continuation **Range-Bound Markets:** - Standard overbought/oversold levels work well - Trade reversals from extreme levels - Combine with support/resistance analysis ## Limitations and Considerations * **Lagging component:** Contains inherent lag due to multiple moving average calculations * **Complex calculation:** More computationally intensive than single-period oscillators * **Parameter sensitivity:** Performance varies significantly with different period/weight combinations * **Market dependency:** Most effective in trending markets with clear momentum patterns * **False divergences:** Not all divergences lead to significant price reversals * **Whipsaw potential:** Can generate conflicting signals in choppy markets ## Best Practices **Effective Usage:** - Focus on divergences rather than absolute overbought/oversold levels - Combine with trend analysis for context - Use multiple timeframe analysis for confirmation - Pay attention to the speed of momentum changes **Common Mistakes:** - Over-relying on overbought/oversold levels in strong trends - Ignoring the underlying trend direction - Using inappropriate period settings for the market being analyzed - Trading every divergence without additional confirmation **Signal Enhancement:** - Combine with volume analysis for confirmation - Use price action context (support/resistance levels) - Consider market volatility when setting thresholds - Look for convergence across multiple momentum indicators ## Historical Context and Development The Ultimate Oscillator was developed by Larry Williams and introduced in his 1985 article "The Ultimate Oscillator" in Technical Analysis of Stocks and Commodities magazine. Williams designed it to address the limitations of single-period oscillators by: - Reducing false signals through multi-timeframe analysis - Maintaining sensitivity to short-term momentum changes - Providing more reliable divergence signals - Creating a more robust momentum measurement tool The indicator has become a standard tool in technical analysis, particularly valued for its divergence detection capabilities and its balanced approach to momentum measurement. ## References * Williams, L. R. (1985). The Ultimate Oscillator. Technical Analysis of Stocks and Commodities, 3(4). * Williams, L. R. (1999). Long-Term Secrets to Short-Term Trading. Wiley Trading.
Penunjuk Pine Scriptยฎ
oleh mihakralj
Luxy BIG beautiful Dynamic ORBThis is an advanced Opening Range Breakout (ORB) indicator that tracks price breakouts from the first 5, 15, 30, and 60 minutes of the trading session. It provides complete trade management including entry signals, stop-loss placement, take-profit targets, and position sizing calculations. The ORB strategy is based on the concept that the opening range of a trading session often acts as support/resistance, and breakouts from this range tend to lead to significant moves. What Makes This Different? Most ORB indicators simply draw horizontal lines and leave you to figure out the rest. This indicator goes several steps further: Multi-Stage Tracking Instead of just one ORB timeframe, this tracks FOUR simultaneously (5min, 15min, 30min, 60min). Each stage builds on the previous one, giving you multiple trading opportunities throughout the session. Active Trade Management When a breakout occurs, the indicator automatically calculates and displays entry price, stop-loss, and multiple take-profit targets. These lines extend forward and update in real-time until the trade completes. Cycle Detection Unlike indicators that only show the first breakout, this tracks the complete cycle: Breakout โ†’ Retest โ†’ Re-breakout. You can see when price returns to test the ORB level after breaking out (potential re-entry). Failed Breakout Warning If price breaks out but quickly returns inside the range (within a few bars), the label changes to "FAILED BREAK" - warning you to exit or avoid the trade. Position Sizing Calculator Built-in risk management that tells you exactly how many shares to buy based on your account size and risk tolerance. No more guessing or manual calculations. Advanced Filtering Optional filters for volume confirmation, trend alignment, and Fair Value Gaps (FVG) to reduce false signals and improve win rate. Core Features Explained ### 1. Multi-Stage ORB Levels The indicator builds four separate Opening Range levels: ORB 5 - First 5 minutes (fastest signals, most volatile) ORB 15 - First 15 minutes (balanced, most popular) ORB 30 - First 30 minutes (slower, more reliable) ORB 60 - First 60 minutes (slowest, most confirmed) Each level is drawn as a horizontal range on your chart. As time progresses, the ranges expand to include more price action. You can enable or disable any stage and assign custom colors to each. How it works: During the opening minutes, the indicator tracks the highest high and lowest low. Once the time period completes, those levels become your ORB high and low for that stage. ### 2. Breakout Detection When price closes outside the ORB range, a label appears: BREAK UP (green label above price) - Price closed above ORB High BREAK DOWN (red label below price) - Price closed below ORB Low The label shows which ORB stage triggered (ORB5, ORB15, etc.) and the cycle number if tracking multiple breakouts. Important: Signals appear on bar close only - no repainting. What you see is what you get. ### 3. Retest Detection After price breaks out and moves away, if it returns to test the ORB level, a "RETEST" label appears (orange). This indicates: The original breakout level is now acting as support/resistance Potential re-entry opportunity if you missed the first breakout Confirmation that the level is significant The indicator requires price to move a minimum distance away before considering it a valid retest (configurable in settings). ### 4. Failed Breakout Detection If price breaks out but returns inside the ORB range within a few bars (before the breakout is "committed"), the original label changes to "FAILED BREAK" in orange. This warns you: The breakout lacked conviction Consider exiting if already in the trade Wait for better setup Committed Breakout: The indicator tracks how many bars price stays outside the range. Only after staying outside for the minimum number of bars does it become a committed breakout that can be retested. ### 5. TP/SL Lines (Trade Management) When a breakout occurs, colored horizontal lines appear showing: Entry Line (cyan for long, orange for short) - Your entry price (the ORB level) Stop Loss Line (red) - Where to exit if trade goes against you TP1, TP2, TP3 Lines (same color as entry) - Profit targets at 1R, 2R, 3R These lines extend forward as new bars form, making it easy to track your trade. When a target is hit, the line turns green and the label shows a checkmark. Lines freeze (stop updating) when: Stop loss is hit The final enabled take-profit is hit End of trading session (optional setting) ### 6. Position Sizing Dashboard The dashboard (bottom-left corner by default) shows real-time information: Current ORB stage and range size Breakout status (Inside Range / Break Up / Break Down) Volume confirmation (if filter enabled) Trend alignment (if filter enabled) Entry and Stop Loss prices All enabled Take Profit levels with percentages Risk/Reward ratio Position sizing: Max shares to buy and total risk amount Position Sizing Example: If your account is $25,000 and you risk 1% per trade ($250), and the distance from entry to stop loss is $0.50, the calculator shows you can buy 500 shares (250 / 0.50 = 500). ### 7. FVG Filter (Fair Value Gap) Fair Value Gaps are price inefficiencies - gaps left by strong momentum where one candle's high doesn't overlap with a previous candle's low (or vice versa). When enabled, this filter: Detects bullish and bearish FVGs Draws semi-transparent boxes around these gaps Only allows breakout signals if there's an FVG near the breakout level Why this helps: FVGs indicate institutional activity. Breakouts through FVGs tend to be stronger and more reliable. Proximity setting: Controls how close the FVG must be to the ORB level. 2.0x means the breakout can be within 2 times the FVG size - a reasonable default. ### 8. Volume & Trend Filters Volume Filter: Requires current volume to be above average (customizable multiplier). High volume breakouts are more likely to sustain. Set minimum multiplier (e.g., 1.5x = 50% above average) Set "strong volume" multiplier (e.g., 2.5x) that bypasses other filters Dashboard shows current volume ratio Trend Filter: Only shows breakouts aligned with a higher timeframe trend. Choose from: VWAP - Price above/below volume-weighted average EMA - Price above/below exponential moving average SuperTrend - ATR-based trend indicator Combined modes (VWAP+EMA, VWAP+SuperTrend) for stricter filtering ### 9. Pullback Filter (Advanced) Purpose: Waits for price to pull back slightly after initial breakout before confirming the signal. This reduces false breakouts from immediate reversals. How it works: - After breakout is detected, indicator waits for a small pullback (default 2%) - Once pullback occurs AND price breaks out again, signal is confirmed - If no pullback within timeout period (5 bars), signal is issued anyway Settings: Enable Pullback Filter: Turn this filter on/off Pullback %: How much price must pull back (2% is balanced) Timeout (bars): Max bars to wait for pullback (5 is standard) When to use: - Choppy markets with many fake breakouts - When you want higher quality signals - Combine with Volume filter for maximum confirmation Trade-off: - Better signal quality - May miss some valid fast moves - Slight entry delay How to Use This Indicator ### For Beginners - Simple Setup Add the indicator to your chart (5-minute or 15-minute timeframe recommended) Leave all default settings - they work well for most stocks Watch for BREAK UP or BREAK DOWN labels to appear Check the dashboard for entry, stop loss, and targets Use the position sizing to determine how many shares to buy Basic Trading Plan: Wait for a clear breakout label Enter at the ORB level (or next candle open if you're late) Place stop loss where the red line indicates Take profit at TP1 (50% of position) and TP2 (remaining 50%) ### For Advanced Traders - Customized Setup Choose which ORB stages to track (you might only want ORB15 and ORB30) Enable filters: Volume (stocks) or Trend (trending markets) Enable FVG filter for institutional confirmation Set "Track Cycles" mode to catch retests and re-breakouts Customize stop loss method (ATR for volatile stocks, ORB% for stable ones) Adjust risk per trade and account size for accurate position sizing Advanced Strategy Example: Enable ORB15 only (disable others for cleaner chart) Turn on Volume filter at 1.5x with Strong at 2.5x Enable Trend filter using VWAP Set Signal Mode to "Track Cycles" with Max 3 cycles Wait for aligned breakouts (Volume + Trend + Direction) Enter on retest if you missed the initial break ### Timeframe Recommendations 5-minute chart: Scalping, very active trading, crypto 15-minute chart: Day trading, balanced approach (most popular) 30-minute chart: Swing entries, less screen time 60-minute chart: Position trading, longer holds The indicator works on any intraday timeframe, but ORB is fundamentally a day trading strategy. Daily charts don't make sense for ORB. DEFAULT CONFIGURATION ON by Default: โ€ข All 4 ORB stages (5/15/30/60) โ€ข Breakout Detection โ€ข Retest Labels โ€ข All TP levels (1/1.5/2/3) โ€ข TP/SL Lines (Detailed mode) โ€ข Dashboard (Bottom Left, Dark theme) โ€ข Position Size Calculator OFF by Default (Optional Filters): โ€ข FVG Filter โ€ข Pullback Filter โ€ข Volume Filter โ€ข Trend Filter โ€ข HTF Bias Check โ€ข Alerts Recommended for Beginners: โ€ข Leave all defaults โ€ข Session Mode: Auto-Detect โ€ข Signal Mode: Track Cycles โ€ข Stop Method: ATR โ€ข Add Volume Filter if trading stocks Recommended for Advanced: โ€ข Enable ORB15 + ORB30 only (disable 5 & 60) โ€ข Enable: Volume + Trend + FVG โ€ข Signal Mode: Track Cycles, Max 3 โ€ข Stop Method: ATR or Safer โ€ข Enable HTF Daily bias check ## Settings Guide The settings are organized into logical groups. Here's what each section controls: ### ORB COLORS Section Show Edge Labels: Display "ORB 5", "ORB 15" labels at the right edge of the levels Background: Fill the area between ORB high/low with color Transparency: How see-through the background is (95% is nearly invisible) Enable ORB 5/15/30/60: Turn each stage on or off individually Colors: Assign colors to each ORB stage for easy identification ### SESSION SETTINGS Section Session Mode: Choose trading session (Auto-Detect works for most instruments) Custom Session Hours: Define your own hours if needed (format: HHMM-HHMM) Auto-Detect uses the instrument's natural hours (stocks use exchange hours, crypto uses 24/7). ### BREAKOUT DETECTION Section Enable Breakout Detection: Master switch for signals Show Retest Labels: Display retest signals Label Size: Visual size for all labels (Small recommended) Enable FVG Filter: Require Fair Value Gap confirmation Show FVG Boxes: Display the gap boxes on chart Signal Mode: "First Only" = one signal per direction per day, "Track Cycles" = multiple signals Max Cycles: How many breakout-retest cycles to track (6 is balanced) Breakout Buffer: Extra distance required beyond ORB level (0.1-0.2% recommended) Min Distance for Retest: How far price must move away before retest is valid (2% recommended) Min Bars Outside ORB: Bars price must stay outside for committed breakout (2 is balanced) ### TARGETS & RISK Section Enable Targets & Stop-Loss: Calculate and show trade management TP1/TP2/TP3 checkboxes: Select which profit targets to display Stop Method: How to calculate stop loss placement - ATR: Based on volatility (best for most cases) - ORB %: Fixed % of ORB range - Swing: Recent swing high/low - Safer: Widest of all methods ATR Length & Multiplier: Controls ATR stop distance (14 period, 1.5x is standard) ORB Stop %: Percentage beyond ORB for stop (20% is balanced) Swing Bars: Lookback period for swing high/low (3 is recent) ### TP/SL LINES Section Show TP/SL Lines: Display horizontal lines on chart Label Format: "Short" = minimal text, "Detailed" = shows prices Freeze Lines at EOD: Stop extending lines at session close ### DASHBOARD Section Show Info Panel: Display the metrics dashboard Theme: Dark or Light colors Position: Where to place dashboard on chart Toggle rows: Show/hide specific information rows Calculate Position Size: Enable the position sizing calculator Risk Mode: Risk fixed $ amount or % of account Account Size: Your total trading capital Risk %: Percentage to risk per trade (0.5-1% recommended) ### VOLUME FILTER Section Enable Volume Filter: Require volume confirmation MA Length: Average period (20 is standard) Min Volume: Required multiplier (1.5x = 50% above average) Strong Volume: Multiplier that bypasses other filters (2.5x) ### TREND FILTER Section Enable Trend Filter: Require trend alignment Trend Mode: Method to determine trend (VWAP is simple and effective) Custom EMA Length: If using EMA mode (50 for swing, 20 for day trading) SuperTrend settings: Period and Multiplier if using SuperTrend mode ### HIGHER TIMEFRAME Section Check Daily Trend: Display higher timeframe bias in dashboard Timeframe: What TF to check (D = daily, recommended) Method: Price vs MA (stable) or Candle Direction (reactive) MA Period: EMA length for Price vs MA method (20 is balanced) Min Strength %: Minimum strength threshold for HTF bias to be considered - For "Price vs MA": Minimum distance (%) from moving average - For "Candle Direction": Minimum candle body size (%) - 0.5% is balanced - increase for stricter filtering - Lower values = more signals, higher values = only strong trends ### ALERTS Section Enable Alerts: Master switch (must be ON to use any alerts) Breakout Alerts: Notify on ORB breakouts Retest Alerts: Notify when price retests after breakout Failed Break Alerts: Notify on failed breakouts Stage Complete Alerts: Notify when each ORB stage finishes forming After enabling desired alert types, click "Create Alert" button, select this indicator, choose "Any alert() function call". ## Tips & Best Practices ### General Trading Tips ORB works best on liquid instruments (stocks with good volume, major crypto pairs) First hour of the session is most important - that's when ORB is forming Breakouts WITH the trend have higher success rates - use the trend filter Failed breakouts are common - use the "Min Bars Outside" setting to filter weak moves Not every day produces good ORB setups - be patient and selective ### Position Sizing Best Practices Never risk more than 1-2% of your account on a single trade Use the built-in calculator - don't guess your position size Update your account size monthly as it grows Smaller accounts: use $ Amount mode for simplicity Larger accounts: use % of Account mode for scaling ### Take Profit Strategy Most traders use: 50% at TP1, 50% at TP2 Aggressive: Hold through TP1 for TP2 or TP3 Conservative: Full exit at TP1 (1:1 risk/reward) After TP1 hits, consider moving stop to breakeven TP3 rarely hits - only on strong trending days ### Filter Combinations Maximum Quality: Volume + Trend + FVG (fewest signals, highest quality) Balanced: Volume + Trend (good quality, reasonable frequency) Active Trading: No filters or Volume only (many signals, lower quality) Trending Markets: Trend filter essential (indices, crypto) Range-Bound: Volume + FVG (avoid trend filter) ### Common Mistakes to Avoid Chasing breakouts - wait for the bar to close, don't FOMO into wicks Ignoring the stop loss - always use it, move it manually if needed Over-leveraging - the calculator shows MAX shares, you can buy less Trading every signal - quality > quantity, use filters Not tracking results - keep a journal to see what works for YOU ## Pros and Cons ### Advantages Complete all-in-one solution - from signal to position sizing Multiple timeframes tracked simultaneously Visual clarity - easy to see what's happening Cycle tracking catches opportunities others miss Built-in risk management eliminates guesswork Customizable filters for different trading styles No repainting - what you see is locked in Works across multiple markets (stocks, forex, crypto) ### Limitations Intraday strategy only - doesn't work on daily charts Requires active monitoring during first 1-2 hours of session Not suitable for after-hours or extended sessions by default Can produce many signals in choppy markets (use filters) Dashboard can be overwhelming for complete beginners Performance depends on market conditions (trends vs ranges) Requires understanding of risk management concepts ### Best For Day traders who can watch the first 1-2 hours of market open Traders who want systematic entry/exit rules Those learning proper position sizing and risk management Active traders comfortable with multiple signals per day Anyone trading liquid instruments with clear sessions ### Not Ideal For Swing traders holding multi-day positions Set-and-forget / passive investors Traders who can't watch market open Complete beginners unfamiliar with trading concepts Low volume / illiquid instruments ## Frequently Asked Questions Q: Why are no signals appearing? A: Check that you're on an intraday timeframe (5min, 15min, etc.) and that the current time is within your session hours. Also verify that "Enable Breakout Detection" is ON and at least one ORB stage is enabled. If using filters, they might be blocking signals - try disabling them temporarily. Q: What's the best ORB stage to use? A: ORB15 (15 minutes) is most popular and balanced. ORB5 gives faster signals but more noise. ORB30 and ORB60 are slower but more reliable. Many traders use ORB15 + ORB30 together. Q: Should I enable all the filters? A: Start with no filters to see all signals. If too many false signals, add Volume filter first (stocks) or Trend filter (trending markets). FVG filter is most restrictive - use for maximum quality but fewer signals. Q: How do I know which stop loss method to use? A: ATR works for most cases - it adapts to volatility. Use ORB% if you want predictable stop placement. Swing is for respecting chart structure. Safer gives you the most room but largest risk. Q: Can I use this for swing trading? A: Not really - ORB is fundamentally an intraday strategy. The ranges reset each day. For swing trading, look at weekly support/resistance or moving averages instead. Q: Why do TP/SL lines disappear sometimes? A: Lines freeze (stop extending) when: stop loss is hit, the last enabled take-profit is hit, or end of session arrives (if "Freeze at EOD" is enabled). This is intentional - the trade is complete. Q: What's the difference between "First Only" and "Track Cycles"? A: "First Only" shows one breakout UP and one DOWN per day maximum - clean but might miss opportunities. "Track Cycles" shows breakout-retest-rebreak sequences - more signals but busier chart. Q: Is position sizing accurate for options/forex? A: The calculator is designed for shares (stocks). For options, ignore the share count and use the risk amount. For forex, you'll need to adapt the lot size calculation manually. Q: How much capital do I need to use this? A: The indicator works for any account size, but practical day trading typically requires $25,000 in the US due to Pattern Day Trader rules. Adjust the "Account Size" setting to match your capital. Q: Can I backtest this strategy? A: This is an indicator, not a strategy script, so it doesn't have built-in backtesting. You can visually review historical signals or code a strategy script using similar logic. Q: Why does the dashboard show different entry price than the breakout label? A: If you're looking at an old breakout, the ORB levels may have changed when the next stage completed. The dashboard always shows the CURRENT active range and trade setup. Q: What's a good win rate to expect? A: ORB strategies typically see 40-60% win rate depending on market conditions and filters used. The strategy relies on positive risk/reward ratios (2:1 or better) to be profitable even with moderate win rates. Q: Does this work on crypto? A: Yes, but crypto trades 24/7 so you need to define what "session start" means. Use Session Mode = Custom and set your preferred daily reset time (e.g., 0000-2359 UTC). ## Credits & Transparency ### Development This indicator was developed with the assistance of AI technology to implement complex ORB trading logic. The strategy concept, feature specifications, and trading logic were designed by the publisher. The implementation leverages modern development tools to ensure: Clean, efficient, and maintainable code Comprehensive error handling and input validation Detailed documentation and user guidance Performance optimization ### Trading Concepts This indicator implements several public domain trading concepts: Opening Range Breakout (ORB): Trading strategy popularized by Toby Crabel, Mark Fisher and many more talanted traders. Fair Value Gap (FVG): Price imbalance concept from ICT methodology SuperTrend: ATR-based trend indicator using public formula Risk/Reward Ratio: Standard risk management principle All mathematical formulas and technical concepts used are in the public domain. ### Pine Script Uses standard TradingView built-in functions: ta.ema(), ta.atr(), ta.vwap(), ta.highest(), ta.lowest(), request.security() No external libraries or proprietary code from other authors. ## Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for every investor. Past performance shown in examples is not indicative of future results. The indicator provides signals and calculations, but trading decisions are solely your responsibility. Always: Test strategies on paper before using real money Never risk more than you can afford to lose Understand that all trading involves risk Consider seeking advice from a licensed financial advisor The publisher makes no guarantees regarding accuracy, profitability, or performance. Use at your own risk. --- Version: 3.0 Pine Script Version: v6 Last Updated: October 2024 For support, questions, or suggestions, please comment below or send a private message. --- Happy trading, and remember: consistent risk management beats perfect entry timing every time.
Penunjuk Pine Scriptยฎ
oleh orenluxy
167
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms. This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades. How It Works Core Signal Generation: The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag: Calculate lag period: floor((length - 1) / 2) Apply lag correction: src + (src - src ) Calculate ZLEMA: EMA of lag-corrected price Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries. Trend Detection: The strategy maintains a trend variable that switches between bullish (1) and bearish (-1): Long Signal: Triggers when price crosses above ZLEMA + volatility band Short Signal: Triggers when price crosses below ZLEMA - volatility band Optional ZLEMA Trend Confirmation: When enabled, this filter requires ZLEMA to show directional momentum before entry: Bullish Confirmation: ZLEMA must increase for 4 consecutive bars Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars This additional filter helps avoid false signals in choppy or ranging markets. Risk Management Features: The strategy includes multiple stop-loss and take-profit mechanisms: Volatility-Based Stops: Default stop-loss is placed at ZLEMA ยฑ volatility band ATR-Based Stops: Dynamic stop-loss calculated as entry price ยฑ (ATR ร— multiplier) ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio Trend-Based Exit: Closes position when price crosses EMA in opposite direction Performance Tracking: The strategy includes optional features for monitoring and analyzing trades: Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade CSV Export Fields: Outputs trade data for external analysis Default Strategy Settings Commission & Slippage: Commission: 0.1% per trade Slippage: 3 ticks Initial Capital: $1,000 Position Size: 100% of equity per trade Main Calculation Parameters: Length: 70 (range: 70-7000) - Controls ZLEMA calculation period Band Multiplier: 1.2 - Adjusts width of volatility bands Entry Conditions (All Disabled by Default): Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends Short Trades: Allow Short Trades: OFF - Strategy is long-only by default Performance Settings (All Disabled by Default): Use Profit Target: OFF Profit Target Risk-Reward Ratio: 2.0 (when enabled) Dynamic TP/SL (All Disabled by Default): Use ATR-Based Stop-Loss & Take-Profit: OFF ATR Length: 14 Stop-Loss ATR Multiplier: 1.5 Profit Target ATR Multiplier: 2.5 Use ATR Trailing Stop: OFF Trailing Stop ATR Multiplier: 1.5 Use Break-Even Stop-Loss: OFF Move SL to Break-Even After RR: 1.5 Use Trend-Based Take Profit: OFF EMA Exit Length: 9 Trade Data Display (All Disabled by Default): Show Floating Stats Table: OFF Show Trade Log Labels: OFF Enable CSV Export: OFF Trade Label Vertical Offset: 0.5 Backtesting Date Range: Start Date: January 1, 2018 End Date: December 31, 2069 Important Usage Notes Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled. Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled. Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions. Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting. Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used. Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid. Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance. Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions. Recommended Use Cases Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations Limitations & Considerations Like all trend-following strategies, performance may suffer in choppy or ranging markets Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management Higher length values (70+) reduce signal frequency but may improve signal quality Multiple simultaneous risk management features may create conflicting exit signals Past performance shown in backtests does not guarantee future results Customization Tips For more aggressive trading: Reduce length parameter (minimum 70) Decrease band multiplier for tighter bands Enable short trades Use lower profit target R:R ratios For more conservative trading: Increase length parameter Enable ZLEMA trend confirmation Use wider ATR stop-loss multipliers Enable break-even stop-loss Reduce position size from 100% default For optimal choppy market performance: Enable ZLEMA trend confirmation Increase band multiplier Use tighter profit targets Avoid re-entry on trend continuation Visual Elements The strategy plots several elements on the chart: ZLEMA line (color-coded by trend direction) Upper and lower volatility bands Long entry markers (green triangles) Short entry markers (red triangles, when enabled) Stop-loss levels (when positions are open) Take-profit levels (when enabled and positions are open) Trailing stop lines (when enabled and positions are open) Optional ZLEMA trend markers (triangles at highs/lows) Optional trade log labels showing complete trade information Exit Reason Codes (for CSV Export) When CSV export is enabled, exit reasons are coded as: 0 = Manual/Other 1 = Trailing Stop-Loss 2 = Profit Target 3 = ATR Stop-Loss 4 = Trend Change Conclusion Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms. The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization. Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size. ================================================================================ TAGS: ================================================================================ trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting ================================================================================ CATEGORY: ================================================================================ Strategies ================================================================================ CHART SETUP RECOMMENDATIONS: ================================================================================ For optimal visualization when publishing: Use a clean chart with no other indicators overlaid Select a timeframe that shows multiple trade signals (4H or Daily recommended) Choose a trending asset (crypto, forex major pairs, or trending stocks work well) Show at least 6-12 months of data to demonstrate strategy across different market conditions Enable the floating stats table to display key performance metrics Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc. Make sure symbol information and timeframe are clearly visible ================================================================================ COMPLIANCE NOTES: ================================================================================ โœ… Open-source publication with complete code visibility โœ… English-only title and description โœ… Detailed explanation of methodology and calculations โœ… Realistic commission (0.1%) and slippage (3 ticks) included โœ… All default parameters clearly documented โœ… Performance limitations and risks disclosed โœ… No unrealistic claims about performance โœ… No guaranteed results promised โœ… Appropriate for public library (original trend-following implementation with ZLEMA) โœ… Educational disclaimers included โœ… All features explained in detail ================================================================================
Strategi Pine Scriptยฎ
oleh Quant_Trading_Pro
1
MESA Adaptive Ehlers Flow | AlphaNattMESA Adaptive Ehlers Flow | AlphaNatt An advanced adaptive indicator based on John Ehlers' MESA (Maximum Entropy Spectrum Analysis) algorithm that automatically adjusts to market cycles in real-time, providing superior trend identification with minimal lag across all market conditions. ๐ŸŽฏ What Makes This Indicator Revolutionary? Unlike traditional moving averages with fixed parameters, this indicator uses Hilbert Transform mathematics to detect the dominant market cycle and adapts its responsiveness accordingly: Automatically detects market cycles using advanced signal processing MAMA (MESA Adaptive Moving Average) adapts from fast to slow based on cycle phase FAMA (Following Adaptive Moving Average) provides confirmation signals Dynamic volatility bands that expand and contract with cycle detection Zero manual optimization required - the indicator tunes itself ๐Ÿ“Š Core Components 1. MESA Adaptive Moving Average (MAMA) The MAMA is the crown jewel of adaptive indicators. It uses the Hilbert Transform to measure the market's dominant cycle and adjusts its smoothing factor in real-time: During trending phases: Responds quickly to capture moves During choppy phases: Smooths heavily to filter noise Transition is automatic and seamless based on price action Parameters: Fast Limit: Maximum responsiveness (default: 0.5) - how fast the indicator can adapt Slow Limit: Minimum responsiveness (default: 0.05) - maximum smoothing during consolidation 2. Following Adaptive Moving Average (FAMA) The FAMA is a slower version of MAMA that follows the primary signal. The relationship between MAMA and FAMA provides powerful trend confirmation: MAMA > FAMA: Bullish trend in progress MAMA < FAMA: Bearish trend in progress Crossovers signal potential trend changes 3. Hilbert Transform Cycle Detection The indicator employs sophisticated DSP (Digital Signal Processing) techniques: Detects the dominant cycle period (1.5 to 50 bars) Measures phase relationships in the price data Calculates adaptive alpha values based on cycle dynamics Continuously updates as market character changes โšก Key Features Adaptive Alpha Calculation The indicator's "intelligence" comes from its adaptive alpha: Alpha dynamically adjusts between Fast Limit and Slow Limit based on the rate of phase change in the market cycle. Rapid phase changes trigger faster adaptation, while stable cycles maintain smoother response. Dynamic Volatility Bands Unlike static bands, these adapt to both ATR volatility AND the current cycle state: Bands widen when the indicator detects fast adaptation (trending) Bands narrow during slow adaptation (consolidation) Band Multiplier controls overall width (default: 1.5) Provides context-aware support and resistance Intelligent Color Coding Cyan: Bullish regime (MAMA > FAMA and price > MAMA) Magenta: Bearish regime (MAMA < FAMA and price < MAMA) Gray: Neutral/transitional state ๐Ÿ“ˆ Trading Strategies Trend Following Strategy The MESA indicator excels at identifying and riding strong trends while automatically reducing sensitivity during choppy periods. Entry Signals: Long: MAMA crosses above FAMA with price closing above MAMA Short: MAMA crosses below FAMA with price closing below MAMA Exit/Management: Exit longs when MAMA crosses below FAMA Exit shorts when MAMA crosses above FAMA Use dynamic bands as trailing stop references Mean Reversion Strategy When price extends beyond the dynamic bands during established trends, look for bounces back toward the MAMA line. Setup Conditions: Strong trend confirmed by MAMA/FAMA alignment Price touches or exceeds outer band Enter on first sign of reversal toward MAMA Target: Return to MAMA line or opposite band Cycle-Based Swing Trading The indicator's cycle detection makes it ideal for swing trading: Enter on MAMA/FAMA crossovers Hold through the detected cycle period Exit on counter-crossover or band extremes Works exceptionally well on 4H to Daily timeframes ๐Ÿ”ฌ Technical Background The Hilbert Transform The Hilbert Transform is a mathematical operation used in signal processing to extract instantaneous phase and frequency information from a signal. In trading applications: Separates trend from cycle components Identifies the dominant market cycle without curve-fitting Provides leading indicators of trend changes MESA Algorithm Components Smoothing: 4-bar weighted moving average for noise reduction Detrending: Removes linear price trend to isolate cycles InPhase & Quadrature: Orthogonal components for phase measurement Homodyne Discriminator: Calculates instantaneous period Adaptive Alpha: Converts period to smoothing factor MAMA/FAMA: Final adaptive moving averages โš™๏ธ Optimization Guide Fast Limit (0.1 - 0.9) Higher values (0.5-0.9): More responsive, better for volatile markets and lower timeframes Lower values (0.1-0.3): Smoother response, better for stable markets and higher timeframes Default 0.5: Balanced for most applications Slow Limit (0.01 - 0.1) Higher values (0.05-0.1): Less smoothing during consolidation, more signals Lower values (0.01-0.03): Heavy smoothing during chop, fewer but cleaner signals Default 0.05: Good noise filtering while maintaining responsiveness Band Multiplier (0.5 - 3.0) Adjust based on instrument volatility Backtest to find optimal value for your specific market 1.5 works well for most forex and equity indices Consider higher values (2.0-2.5) for cryptocurrencies ๐ŸŽจ Visual Interpretation The gradient visualization shows probability zones around the MESA line: MESA line: The adaptive trend center Band expansion: Indicates strong cycle detection and trending Band contraction: Indicates consolidation or ranging market Color intensity: Shows confidence in trend direction ๐Ÿ’ก Best Practices Let it adapt: Give the indicator 50+ bars to properly calibrate to the market Combine timeframes: Use higher timeframe MESA for trend bias, lower for entries Respect the bands: Price rarely stays outside bands for extended periods Watch for compression: Narrow bands often precede explosive moves Volume confirmation: Combine with volume for higher probability setups ๐Ÿ“Š Optimal Timeframes 15m - 1H: Day trading with Fast Limit 0.6-0.8 4H - Daily: Swing trading with Fast Limit 0.4-0.6 (recommended) Weekly: Position trading with Fast Limit 0.2-0.4 โš ๏ธ Important Considerations The indicator needs time to "learn" the market - avoid trading the first 50 bars after applying Extreme gap events can temporarily disrupt cycle calculations Works best in markets with detectable cyclical behavior Less effective during news events or extreme volatility spikes Consider the detected cycle period for position holding times ๐Ÿ” What Makes MESA Superior? Compared to traditional indicators: vs. Fixed MAs: Automatically adjusts to market conditions instead of using one-size-fits-all parameters vs. Other Adaptive MAs: Uses true DSP mathematics rather than simple volatility adjustments vs. Manual Optimization: Continuously re-optimizes itself in real-time vs. Lagging Indicators: Hilbert Transform provides earlier trend change detection ๐ŸŽ“ Understanding Adaptation The magic of MESA is that it solves the eternal dilemma of technical analysis: be fast and get whipsawed in chop, or be smooth and miss the early move. MESA does both by detecting when to be fast and when to be smooth. Adaptation in Action: Strong trend starts โ†’ MESA quickly detects phase change โ†’ Fast Limit kicks in โ†’ Early entry Trend continues โ†’ Phase stabilizes โ†’ MESA maintains moderate speed โ†’ Smooth ride Consolidation begins โ†’ Phase changes slow โ†’ Slow Limit engages โ†’ Whipsaw avoidance ๐Ÿš€ Advanced Applications Multi-timeframe confluence: Use MESA on 3 timeframes for high-probability setups Divergence detection: Watch for MAMA/price divergences at band extremes Cycle period analysis: The internal period calculation can guide position duration Band squeeze trading: Narrow bands + MAMA/FAMA cross = high-probability breakout Created by AlphaNatt - Based on John Ehlers' MESA research. For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
Penunjuk Pine Scriptยฎ
oleh AlphaNatt
2
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION OVERVIEW Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws. Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range. HOW IT WORKS DUAL ALMA SYSTEM The strategy uses two ALMA lines applied to price returns: โ€ข Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods) โ€ข Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods) ALMA is superior to simple or exponential moving averages because it provides: โ€ข Smoother curves with less noise โ€ข Significantly reduced lag โ€ข Natural resistance to outliers and flash crashes TRADING LOGIC BUY SIGNAL: โ€ข Fast ALMA crosses above Slow ALMA (bullish regime) โ€ข Price makes new N-bar high (momentum confirmation) โ€ข Optional: Price above 200 EMA (macro trend filter) โ€ข Optional: ALMA lines sufficiently separated (strength filter) SELL SIGNAL: โ€ข Fast ALMA crosses below Slow ALMA (bearish regime) โ€ข Optional: Price makes new N-bar low (momentum confirmation) The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months. VISUAL INDICATORS LINES: โ€ข Blue Line: Fast ALMA (short-term signal) โ€ข Black Line: Slow ALMA (long-term baseline) TRADE MARKERS: โ€ข Green Triangle Up: Buy executed โ€ข Red Triangle Down: Sell executed โ€ข Orange "M": Buy blocked by momentum filter โ€ข Purple "W": Buy blocked by weak crossover strength KEY PARAMETERS ALMA SETTINGS: โ€ข Short Period (default: 30) - Fast signal responsiveness โ€ข Long Period (default: 250) - Baseline stability โ€ข ALMA Offset (default: 0.90) - Balance between lag and smoothness โ€ข ALMA Sigma (default: 7.5) - Gaussian curve width ENTRY/EXIT FILTERS: โ€ข Buy Lookback (default: 7) - Bars for momentum confirmation (required) โ€ข Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits) โ€ข Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled) โ€ข Use Macro Filter (default: true) - Only enter above 200 EMA BEST PRACTICES RECOMMENDED ASSETS - Works well on: โ€ข Cryptocurrencies (Bitcoin, Ethereum, etc.) โ€ข Major indices (S&P 500, Nasdaq) โ€ข Large-cap stocks โ€ข Commodities (Gold, Oil) RECOMMENDED TIMEFRAMES: โ€ข Daily: Primary timeframe for swing trading โ€ข 4-Hour: More active trading (increase trade frequency) โ€ข Weekly: Long-term position trading PARAMETER TUNING: โ€ข More trades: Lower Short Period (60-80) โ€ข Fewer trades: Raise Short Period (100-120) โ€ข Faster exits: Set Sell Lookback = 0 โ€ข Safer entries: Enable Macro Filter (Use Macro Filter = true) STRATEGY ADVANTAGES 1. Low Lag - ALMA provides faster signals than traditional moving averages 2. Smooth Signals - Minimal whipsaws compared to crossover strategies 3. Asset Agnostic - Same parameters work across different markets 4. Trend Capture - Stays positioned during entire bullish regimes 5. Risk Management - Multiple filters prevent poor entries 6. Visual Clarity - Easy to interpret regime and filter states WHEN TO USE HERMES BEST FOR: โ€ข Trending markets (crypto bull runs, equity uptrends) โ€ข Swing trading (hold days to weeks) โ€ข Position trading (hold weeks to months) โ€ข Clear trend identification โ€ข Risk-managed exposure NOT SUITABLE FOR: โ€ข Ranging/sideways markets โ€ข Scalping or day trading โ€ข High-frequency trading โ€ข Mean reversion strategies RISK DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading. CREDITS Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering. Strategy by Hermes Trading Systems QUICK START 1. Add indicator to chart 2. Use on daily timeframe for best results 3. Look for green buy signals when blue line crosses above black line 4. Exit on red sell signals when blue line crosses below black line 5. Adjust parameters based on your trading style: โ€ข Conservative: Enable Macro Filter, increase Buy Lookback to 10 โ€ข Aggressive: Disable Macro Filter, lower Short Period to 60 โ€ข Default settings work well for most assets
Strategi Pine Scriptยฎ
oleh aicccia
3
Swing AURORA v4.0 โ€” Refined Trend Signals### Swing Algo v4.0 โ€” Refined Trend Signals #### Overview Swing Algo v4.0 is an advanced technical indicator designed for TradingView, built to detect trend changes and provide actionable buy/sell signals in various market conditions. It combines multiple technical elements like moving averages, ADX for trend strength, Stochastic RSI for timing, and RSI divergence for confirmation, all while adapting to different timeframes through auto-tuning. This indicator overlays on your chart, highlighting trend regimes with background colors, displaying buy/sell labels (including "strong" variants), and offering early "potential" signals for proactive trading decisions. It's suitable for swing trading, trend following, or as a filter for other strategies across forex, stocks, crypto, and other assets. #### Purpose The primary goal of Swing Algo v4.0 is to help traders identify high-probability trend reversals and continuations early, reducing noise and false signals. It aims to provide clear, non-repainting signals that align with market structure, volatility, and momentum. By incorporating filters like higher timeframe (HTF) alignment, bias EMAs, and divergence, it refines entries for better accuracy. The indicator emphasizes balanced performance across aggressive, balanced, and conservative modes, making it versatile for both novice and experienced traders seeking to optimize their decision-making process. #### What It Indicates - **Trend Regimes (Background Coloring)**: The chart background changes color to reflect the current market regime: - **Green (Intense for strong uptrends, faded when cooling)**: Indicates bullish trends where price is above the baseline and EMAs are aligned upward. - **Red/Maroon (Intense maroon for strong downtrends, faded red when cooling)**: Signals bearish trends with price below the baseline and downward EMA alignment. - **Faded Yellow**: Marks "no-trade" zones or potential trend changes, where conditions are choppy, weak, or neutral (e.g., low ADX, near baseline, or low volatility). - **Buy/Sell Signals**: Labels appear on the chart for confirmed entries: - "BUY" or "STRONG BUY" for bullish signals (strong variants require higher scores and optional divergence). - "SELL" or "STRONG SELL" for bearish signals. - **Potential Signals**: Early warnings like "Potential BUY" or "Potential SELL" appear before full confirmation, allowing traders to anticipate moves (confirmed after a few bars based on the trigger window). - **Divergence Marks**: Small "DIVโ†‘" (bullish) or "DIVโ†“" (bearish) labels highlight RSI divergences on pivots, adding confluence for strong signals. - **Lines**: Optional plots for baseline (teal), EMA13/21 (lime/red based on crossover), providing visual trend context. Signals are anchored either to the current bar or confirmed pivots, ensuring alignment with price action. The indicator avoids repainting by confirming on close if enabled. #### Key Parameters and Customization Swing Algo v4.0 offers minimal yet efficient parameters for fine-tuning, with defaults optimized for common use cases. Most can be auto-tuned based on timeframe for simplicity: - **Confirm on Close (no repaint)**: Boolean (default: true) โ€“ Ensures signals don't repaint by waiting for bar confirmation. - **Auto-tune by Timeframe**: Boolean (default: true) โ€“ Automatically adjusts lengths and sensitivity for 5-15m, 30-60m, 2-4h, or higher frames. - **Mode**: String (options: Aggressive, Balanced , Conservative) โ€“ Controls signal thresholds; Aggressive for more signals, Conservative for fewer but higher-quality ones. - **Signal Anchor**: String (options: Pivot (divLB) , Current bar) โ€“ Places labels on confirmed pivots or the current bar. - **Trigger Window (bars)**: Integer (default: 3) โ€“ Window for signal timing; auto-tuned if enabled. - **Baseline Type**: String (options: HMA , EMA, ALMA) โ€“ Core trend line; lengths auto-tune (e.g., 55 for short frames). - **Use Bias EMA Filter**: Boolean (default: false) โ€“ Adds a long-term EMA for trend bias. - **Use HTF Filter**: Boolean (default: false) โ€“ Aligns with higher timeframe (auto or manual like 60m, 240m, D); override for stricter scoring. - **Sensitivity (10โ€“90)**: Integer (default: 55) โ€“ Adjusts ADX threshold for trend detection; higher = more sensitive. - **Use RSI-Stoch Trigger**: Boolean (default: true) โ€“ Enables Stochastic RSI for entry timing; customizable lengths, smooths, and levels. - **Use RSI Divergence for STRONG**: Boolean (default: true) โ€“ Requires divergence for strong signals; pivot lookback (default: 5). - **Visual Options**: Booleans for background regime, labels, divergence marks, and lines (all default: true). These parameters are grouped for ease, with tooltips in TradingView for quick reference. Start with defaults and tweak based on backtesting. #### How It Works At its core, Swing Algo v4.0 calculates a baseline (e.g., HMA) to define the trend direction. It then scores potential buys/sells using factors like: - **Trend Strength**: ADX above a dynamic threshold, combined with EMA crossovers (13/21) and slope analysis. - **Volatility/Volume**: Bollinger/Keltner squeeze exits, volume z-score, and ATR filters to avoid choppy markets. - **Timing**: Stochastic RSI crossovers or micro-timing via DEMA/TEMA for precise entries. - **Filters**: Bias EMA, HTF alignment, gap from baseline, and no-trade zones (weak ADX, near baseline, low vol). - **Divergence**: RSI pivots confirm strong signals. - **Scoring**: Buy/sell scores (min 3-5 based on mode) trigger labels only when all gates pass, with early "potential" detection for foresight. The algorithm processes these in real-time, auto-adapting to timeframe for efficiency. Signals flip only on direction changes to prevent over-trading. For best results, use on liquid assets and combine with risk management. #### Disclaimer This indicator is for educational and informational purposes only and does not constitute financial advice, investment recommendations, or trading signals. Trading involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always backtest the indicator on your preferred assets and timeframes, and consult a qualified financial advisor before making any trading decisions. The author assumes no liability for any losses incurred from using this script. Use at your own risk.
Penunjuk Pine Scriptยฎ
oleh Bogdan_TOMOIAGA
2
Bollinger Band Screener [Pineify]Multi-Symbol Bollinger Band Screener Pineify โ€“ Advanced Multi-Timeframe Market Analysis Unlock the power of rapid, multi-asset scanning with this original TradingView Pine Script. Expose trends, volatility, and reversals across your favorite tickersโ€”all in a single, customizable dashboard. Key Features Screens up to 8 symbols simultaneously with individual controls. Covers 4 distinct timeframes per symbol for robust, multi-timeframe analysis. Integrates advanced Bollinger Band logic, adaptable with 11+ moving average types (SMA, EMA, RMA, HMA, WMA, VWMA, TMA, VAR, WWMA, ZLEMA, and TSF). Visualizes precise state changes: Open/Parallel Uptrends & Downtrends, Consolidation, Breakouts, and more. Highly interactive table view for instant signal interpretation and actionable alerts. Flexible to any market: crypto, stocks, forex, indices, and commodities. How It Works For each chosen symbol and timeframe, the script calculates Bollinger Bands using your specified source, length, standard deviation, and moving average method. Real-time state recognition assigns one of several states (Open Rising, Open Falling, Parallel Rising, Parallel Falling), painting the table with unique color codes. State detection is rigorously defined: e.g., โ€œOpen Risingโ€ is set when both bands and the basis rise, indicating strong up momentum. All bands, signals, and strategies dynamically update as new bars print or user inputs change. Trading Ideas and Insights Identify volatility expansions and compressions instantly, spotting breakouts and breakdowns before they play out. Spot multi-timeframe confluencesโ€”when trends align across several TFs, conviction increases for potential trades. Trade reversals or continuations based on unique Bollinger Band patterns, such as squeeze-break or persistent parallel moves. Harness this tool for scalping, swing trading, or systematic portfolio screensโ€”your logic, your edge! How Multiple Indicators Work Together This screenerโ€™s core strength is its integration of multiple moving average types into Bollinger Band construction, not just standard SMA. Each average adapts the bandsโ€™ responsiveness to trend and noise, so traders can select the underlying logic that matches their market environment (e.g., HMA for fast moves or ZLEMA for smoothed lag). Overlaying 4 timeframes per symbol ensures trends, reversals, and volatility shifts never slip past your radar. When all MAs and bands synchronize across symbols and TFs, it becomes easy to separate real opportunity from market noise. Unique Aspects Perhaps the most flexible Bollinger Band screener for TradingViewโ€”choose from over 10 moving average methods. Powerful multi-timeframe and multi-asset design, rare among Pine scripts. Immediate visual clarity with color-coded table cells indicating band stateโ€”no need for guesswork or chart clutter. Custom configuration for each asset and time slice to suit any trading style. How to Use Add the script to your TradingView chart. Use the user-friendly input settings to specify up to 8 symbols and 4 timeframes each. Customize the Bollinger Band parameters: source (price type), band length, standard deviation, and type of moving average. Interpret the dashboard: Color codes and โ€œstateโ€ abbreviations show you instantly which symbols and timeframes are trending, consolidating, or breaking out. Take trades according to your strategy, using the screener as a confirmation or primary scan tool. Customization Fully customize: symbols, timeframes, source, band length, standard deviation multiplier, and moving average type. Supports intricate watchlistsโ€”anything TradingView allows, this script tracks. Adapt for cryptos, equities, forex, or derivatives by changing symbol inputs. Conclusion The Multi-Symbol Bollinger Band Screener โ€œPineifyโ€ is a comprehensive, SEO-optimized Pine Script tool to supercharge your market scanning, trend spotting, and decision-making on TradingView. Whether you trade crypto, stocks, or forexโ€”its fast, intuitive, multi-timeframe dashboard gives you the informational edge to stay ahead of the market. Try it now to streamline your trading workflow and see all the bands, all the trends, all the time!
Penunjuk Pine Scriptยฎ
oleh Pineify
Luxy Momentum, Trend, Bias and Breakout Indicators V7 TABLE OF CONTENTS This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7. Why This Indicator is Different Who Should Use This Core Components Overview The UT Bot Trading System Understanding the Market Bias Table Candlestick Pattern Recognition Visual Tools and Features How to Use the Indicator Performance and Optimization FAQ --- ### CREDITS & ATTRIBUTION This indicator implements proven trading concepts using entirely original code developed specifically for this project. ### CONCEPTUAL FOUNDATIONS โ€ข UT Bot ATR Trailing System - Original concept by @QuantNomad: (search "UT-Bot-Strategy" - Our version is a complete reimplementation with significant enhancements: - Volume-weighted momentum adjustment - Composite stop loss from multiple S/R layers - Multi-filter confirmation system (swing, %, 2-bar, ZLSMA) - Full integration with multi-timeframe bias table - Visual audit trail with freeze-on-touch - NOTE: No code was copied - this is a complete reimplementation with enhancements. โ€ข Standard Technical Indicators (Public Domain Formulas): - Supertrend: ATR-based trend calculation with custom gradient fills - MACD: Gerald Appel's formula with separation filters - RSI: J. Welles Wilder's formula with pullback zone logic - ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics - ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction ### Custom Implementations - Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing) - All code implementations are original ### ORIGINAL FEATURES (70%+ of codebase) - Multi-Timeframe Bias Table with live updates - Risk Management System (R-multiple TPs, freeze-on-touch) - Opening Range Breakout tracker with session management - Composite Stop Loss calculator using 6+ S/R layers - Performance optimization system (caching, conditional calcs) - VIX Fear Index integration - Previous Day High/Low auto-detection - Candlestick pattern recognition with interactive tooltips - Smart label and visual management - All UI/UX design and table architecture ### DEVELOPMENT PROCESS **AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for: - Writing Pine Script code based on design specifications - Optimizing performance and fixing bugs - Ensuring Pine Script v6 compliance - Generating documentation **Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer. **Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership. --- 1. WHY THIS INDICATOR IS DIFFERENT Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system. Key Advantages: All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance. Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts. Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off. Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops. R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits. Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure. Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance. No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time. What Makes It Unique: Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context. Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it. Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table. Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input. Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated. Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style. --- 2. WHO WHOULD USE THIS Designed For: Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit. Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week. Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you. Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments. Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation. Works Across All Markets: Stocks (US, international) Cryptocurrency (24/7 markets supported) Forex pairs Indices (SPY, QQQ, etc.) Commodities NOT Ideal For : Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge. Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution. Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation. --- 3. CORE COMPONENTS OVERVIEW The indicator combines these proven systems: Trend Analysis: Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style. Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading. ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves. Momentum & Filters: MACD: Standard MACD with separation filter to avoid weak crossovers. RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone". ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum. Volume Filter: Relative volume confirmation - require above-average volume for entries. Donchian Breakout: Optional channel breakout requirement. Signal Systems: UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points. Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone. Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX). Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips. ORB Tracker: Opening range high/low with breakout status (intraday only). PDH/PDL: Previous day levels plotted automatically on intraday charts. VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs. --- 4. THE UT BOT TRADING SYSTEM The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility. Why UT Bot is Superior to Fixed Stops: Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2ร—ATR"). UT Bot is smarter: It TRAILS the stop as price moves in your favor It WIDENS during high volatility to avoid premature stops It TIGHTENS during consolidation to lock in profits It FLIPS when price breaks the trailing line, signaling reversals Visual Elements You'll See: Orange Trailing Line: The actual UT stop level that adapts bar-by-bar Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips ENTRY Line: Horizontal line at your entry price (optional, can be turned off) Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers: - UT trailing line - Supertrend level - VWAP - Swing structure (recent lows/highs) - Long-term MA (200) - ATR-based floor Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes. Status Messages: "SL Touched โŒ" or "SL Frozen" when the trade leg completes. How UT Bot Differs from Other ATR Systems: Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these. Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled. Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were. Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts. Trading Logic: UT Bot flips direction (Buy or Sell signal appears) Check Bias Table for multi-timeframe confirmation Optional: Wait for Base signal or candlestick pattern Enter at signal bar close or next bar open Place stop at "Suggested Stop Loss" line Scale out at TP levels (TP1, TP2, TP3) Exit remaining position on opposite UT signal or stop hit --- 5. UNDERSTANDING THE MARKET BIAS TABLE This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias. Why Multi-Timeframe Analysis Matters: Professional traders check higher and lower timeframes for context: Is the 1h uptrend aligning with my 5m entry? Are all short-term timeframes bullish or just one? Is the daily trend supportive or fighting me? Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance. Table Structure: Header Row: On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want) On daily+ charts: D, W, M (automatic) Green dot next to title = live updating Headline Rows - Macro Bias: These show broad market direction over longer periods: 3 Day Bias: Trend over last 3 trading sessions (uses 1h data) Weekly Bias: Trend over last 5 trading sessions (uses 4h data) Monthly Bias: Trend over last 30 daily bars Quarterly Bias: Trend over last 13 weekly bars VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high Opening Range Breakout: Status of price vs. session open range (intraday only) These rows show text: "BULLISH", "BEARISH", or "NEUTRAL" Indicator Rows - Technical Signals: These evaluate your configured indicators across all active timeframes: Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20") Price > Long MA (e.g., "Price > SMA 200") Price > VWAP MACD > Signal Supertrend (up/down/neutral) ZLSMA Rising RSI In Zone ADX โ‰ฅ Minimum These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA) AVG Column: Shows percentage of active timeframes that are bullish for that row. This is the KEY metric: AVG > 70% = strong multi-timeframe bullish alignment AVG 40-60% = mixed/choppy, no clear trend AVG < 30% = strong multi-timeframe bearish alignment How to Use the Table: For a long trade: Check AVG column - want to see > 60% ideally Check headline bias rows - want to see BULLISH, not BEARISH Check VIX row - bullish market regime preferred Check ORB row (intraday) - want ABOVE for longs Scan indicator rows - more green = better confirmation For a short trade: Check AVG column - want to see < 40% ideally Check headline bias rows - want to see BEARISH, not BULLISH Check VIX row - bearish market regime preferred Check ORB row (intraday) - want BELOW for shorts Scan indicator rows - more red = better confirmation When AVG is 40-60%: Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments. Unique Features: Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated. Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy. Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%. Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed. Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday. --- 6. CANDLESTICK PATTERN RECOGNITION The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars. Why These Six Patterns: These are the most statistically significant reversal patterns according to trading literature: High win rate when appearing at support/resistance Clear visual structure (not subjective) Work across all timeframes and assets Studied extensively by institutions The Patterns: Bullish Patterns (appear at bottoms): Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal. Hammer: Small body with long lower wick (at least 2ร— body size). Shows rejection of lower prices by buyers. Morning Star: Three-candle pattern (large red โ†’ small indecision โ†’ large green). Very strong bottom reversal. Bearish Patterns (appear at tops): Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal. Shooting Star: Small body with long upper wick (at least 2ร— body size). Shows rejection of higher prices by sellers. Evening Star: Three-candle pattern (large green โ†’ small indecision โ†’ large red). Very strong top reversal. Interactive Tooltips: Unlike most pattern indicators that just draw shapes, this one is educational: Hover your mouse over any pattern emoji A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it No need to memorize - learn as you trade Noise Filter: "Min candle body % to filter noise" setting prevents false signals: Patterns require minimum body size relative to price Filters out tiny candles that don't represent real buying/selling pressure Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks) How to Trade Patterns: Patterns are NOT standalone entry signals. Use them as: Confirmation: UT Bot gives signal + pattern appears = stronger entry Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected Best combined with: UT Bot or Base signal in same direction Bias Table alignment (AVG > 60% or < 40%) Appearance at obvious support/resistance --- 7. VISUAL TOOLS AND FEATURES VWAP (Volume Weighted Average Price): Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session. Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe. Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses. Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode. Use VWAP as: Directional bias (above = bullish, below = bearish) Mean reversion levels (outer bands) Support/resistance (the VWAP line itself) Previous Day High/Low: Automatically plots yesterday's high and low on intraday charts: Updates at start of each new trading day Theme-aware colors (dark text for light charts, light text for dark charts) Hidden automatically on Daily/Weekly/Monthly charts These levels are critical for intraday traders - institutions watch them closely as support/resistance. Opening Range Breakout (ORB): Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session: Customizable session times (preset for NYSE, LSE, TSE, or custom) Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING) Intraday only - auto-disabled on Daily+ charts ORB is a classic day trading strategy - breakout above opening range often leads to continuation. Extra Labels: Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative. ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below. RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral). These labels provide quick at-a-glance confirmation without needing separate indicator windows. --- 8. HOW TO USE THE INDICATOR Step 1: Add to Chart Load the indicator on your chosen asset and timeframe First time: Everything is enabled by default - the chart will look busy Don't panic - you'll turn off what you don't need Step 2: Start Simple Turn OFF everything except: UT Bot labels (keep these ON) Bias Table (keep this ON) Moving Averages (Fast and Medium only) Suggested Stop Loss and Take Profits Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first. Step 3: Learn the Core Workflow UT Bot gives a Buy or Sell signal Check Bias Table AVG column - do you have multi-timeframe alignment? If yes, enter the trade Place stop at Suggested Stop Loss line Scale out at TP levels Exit on opposite UT signal Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings. Step 4: Add Filters Gradually If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time: Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction Try: ADX filter with minimum threshold - only trade when trend strength is sufficient Try: RSI pullback filter - only enter on pullbacks, not chasing Try: Volume filter - require above-average volume Add one filter, test for a week, evaluate. Repeat. Step 5: Enable Advanced Features (Optional) Once you're profitable with the core system, add: Supertrend for additional trend confirmation Candlestick patterns for reversal warnings VWAP for institutional anchor reference ORB for intraday breakout context ZLSMA for low-lag trend following Step 6: Optimize Settings Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read: What the parameter controls How it impacts trading Suggested ranges for scalping, day trading, and swing trading Start with defaults, then adjust based on your results and style. Step 7: Set Up Alerts Right-click chart โ†’ Add Alert โ†’ Condition: "Luxy Momentum v6" โ†’ Choose: "UT Bot โ€” Buy" for long entries "UT Bot โ€” Sell" for short entries "Base Long/Short" for filtered MA cross signals Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications. Common Workflow Variations: Conservative Trader: UT signal + Base signal + Candlestick pattern + Bias AVG > 70% Enter only at major support/resistance Wider UT sensitivity, multiple filters Aggressive Trader: UT signal + Bias AVG > 60% Enter immediately, no waiting Tighter UT sensitivity, minimal filters Swing Trader: Focus on Daily/Weekly Bias alignment Ignore intraday noise Use ORB and PDH/PDL less (or not at all) Wider stops, patient approach --- 9. PERFORMANCE AND OPTIMIZATION The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast: Biggest Performance Gains: Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h. Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes. Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization. Additional Optimizations: Turn off VWAP bands if you don't use them Disable candlestick patterns if you don't trade them Turn off Supertrend fill if you find it distracting (keep the line) Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects Performance Features Built-In: Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off. Modular Design: Every component is independent. Turn off what you don't need without breaking other features. Typical Load Times: 5m chart, all features ON, 7 timeframes: ~2-3 seconds 5m chart, core features only, 3 timeframes: ~1 second 1m chart, all features: ~4-5 seconds (many bars to calculate) If loading takes longer, you likely have too many indicators on the chart total (not just this one). --- 10. FAQ Q: How is this different from standard UT Bot indicators? A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds: - Volume weighting and momentum adjustment to the trailing calculation - Multiple confirmation filters (swing, %, 2-bar, ZLSMA) - Smart composite stop loss system from multiple S/R layers - R-multiple take profit system with freeze-on-touch - Integration with multi-timeframe Bias Table - Visual audit trail with checkmarks Q: Can I use this for automated trading? A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required. Q: Does it repaint? A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead. Q: Do I need to use all the features? A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed. Q: How do I know which settings to use? A: Every single input has a detailed tooltip. Hover over any setting to see: What it does How it affects trading Typical values for scalping, day trading, swing trading Start with defaults, adjust gradually based on results. Q: Can I use this on crypto 24/7 markets? A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session". Q: The Bias Table is blank or not showing. A: Check: "Show Table" is ON Table position isn't overlapping another indicator's table (change position) At least one row is enabled "Hide BIAS table on 1D or above" is OFF (if on Daily+ chart) Q: Why are candlestick patterns not appearing? A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check: Pattern toggles are ON "Min candle body %" isn't too high (try 0.05-0.10) You're looking at a chart with actual reversals (not strong trending market) Q: UT Bot is too sensitive/not sensitive enough. A: Adjust "Sensitivity (Keyร—ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance. Q: Can I get alerts for the Bias Table? A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation. Q: Does this work on stocks with low volume? A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements. Q: How often should I check the Bias Table? A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend. Q: What if UT signal and Base signal disagree? A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either: Wait for both to align (safest) Take the UT signal but with smaller size (aggressive) Skip the trade (conservative) There's no "right" answer - depends on your risk tolerance. --- FINAL NOTES The indicator gives you an edge. How you use that edge determines results. For questions, feedback, or support, comment on the indicator page or message the author. Happy Trading!
Penunjuk Pine Scriptยฎ
oleh orenluxy
41
T3 ATR [DCAUT]โ–ˆ T3 ATR ๐Ÿ“Š ORIGINALITY & INNOVATION The T3 ATR indicator represents an important enhancement to the traditional Average True Range (ATR) indicator by incorporating the T3 (Tilson Triple Exponential Moving Average) smoothing algorithm. While standard ATR uses fixed RMA (Running Moving Average) smoothing, T3 ATR introduces a configurable volume factor parameter that allows traders to adjust the smoothing characteristics from highly responsive to heavily smoothed output. This innovation addresses a fundamental limitation of traditional ATR: the inability to adapt smoothing behavior without changing the calculation period. With T3 ATR, traders can maintain a consistent ATR period while adjusting the responsiveness through the volume factor, making the indicator adaptable to different trading styles, market conditions, and timeframes through a single unified implementation. The T3 algorithm's triple exponential smoothing with volume factor control provides improved signal quality by reducing noise while maintaining better responsiveness compared to traditional smoothing methods. This makes T3 ATR particularly valuable for traders who need to adapt their volatility measurement approach to varying market conditions without switching between multiple indicator configurations. ๐Ÿ“ MATHEMATICAL FOUNDATION The T3 ATR calculation process involves two distinct stages: Stage 1: True Range Calculation The True Range (TR) is calculated using the standard formula: TR = max(high - low, |high - close |, |low - close |) This captures the greatest of the current bar's range, the gap from the previous close to the current high, or the gap from the previous close to the current low, providing a comprehensive measure of price movement that accounts for gaps and limit moves. Stage 2: T3 Smoothing Application The True Range values are then smoothed using the T3 algorithm, which applies six exponential moving averages in succession: First Layer: e1 = EMA(TR, period), e2 = EMA(e1, period) Second Layer: e3 = EMA(e2, period), e4 = EMA(e3, period) Third Layer: e5 = EMA(e4, period), e6 = EMA(e5, period) Final Calculation: T3 = c1ร—e6 + c2ร—e5 + c3ร—e4 + c4ร—e3 The coefficients (c1, c2, c3, c4) are derived from the volume factor (VF) parameter: a = VF / 2 c1 = -aยณ c2 = 3aยฒ + 3aยณ c3 = -6aยฒ - 3a - 3aยณ c4 = 1 + 3a + aยณ + 3aยฒ The volume factor parameter (0.0 to 1.0) controls the weighting of these coefficients, directly affecting the balance between responsiveness and smoothness: Lower VF values (approaching 0.0): Coefficients favor recent data, resulting in faster response to volatility changes with minimal lag but potentially more noise Higher VF values (approaching 1.0): Coefficients distribute weight more evenly across the smoothing layers, producing smoother output with reduced noise but slightly increased lag ๐Ÿ“Š COMPREHENSIVE SIGNAL ANALYSIS Volatility Level Interpretation: High Absolute Values: Indicate strong price movements and elevated market activity, suggesting larger position risks and wider stop-loss requirements, often associated with trending markets or significant news events Low Absolute Values: Indicate subdued price movements and quiet market conditions, suggesting smaller position risks and tighter stop-loss opportunities, often associated with consolidation phases or low-volume periods Rapid Increases: Sharp spikes in T3 ATR often signal the beginning of significant price moves or market regime changes, providing early warning of increased trading risk Sustained High Levels: Extended periods of elevated T3 ATR indicate sustained trending conditions with persistent volatility, suitable for trend-following strategies Sustained Low Levels: Extended periods of low T3 ATR indicate range-bound conditions with suppressed volatility, suitable for mean-reversion strategies Volume Factor Impact on Signals: Low VF Settings (0.0-0.3): Produce responsive signals that quickly capture volatility changes, suitable for short-term trading but may generate more frequent color changes during minor fluctuations Medium VF Settings (0.4-0.7): Provide balanced signal quality with moderate responsiveness, filtering out minor noise while capturing significant volatility changes, suitable for swing trading High VF Settings (0.8-1.0): Generate smooth, stable signals that filter out most noise and focus on major volatility trends, suitable for position trading and long-term analysis ๐ŸŽฏ STRATEGIC APPLICATIONS Position Sizing Strategy: Determine your risk per trade (e.g., 1% of account capital - adjust based on your risk tolerance and experience) Decide your stop-loss distance multiplier (e.g., 2.0x T3 ATR - this varies by market and strategy, test different values) Calculate stop-loss distance: Stop Distance = Multiplier ร— Current T3 ATR Calculate position size: Position Size = (Account ร— Risk %) / Stop Distance Example: $10,000 account, 1% risk, T3 ATR = 50 points, 2x multiplier โ†’ Position Size = ($10,000 ร— 0.01) / (2 ร— 50) = $100 / 100 points = 1 unit per point Important: The ATR multiplier (1.5x - 3.0x) should be determined through backtesting for your specific instrument and strategy - using inappropriate multipliers may result in stops that are too tight (frequent stop-outs) or too wide (excessive losses) Adjust the volume factor to match your trading style: lower VF for responsive stop distances in short-term trading, higher VF for stable stop distances in position trading Dynamic Stop-Loss Placement: Determine your risk tolerance multiplier (typically 1.5x to 3.0x T3 ATR) For long positions: Set stop-loss at entry price minus (multiplier ร— current T3 ATR value) For short positions: Set stop-loss at entry price plus (multiplier ร— current T3 ATR value) Trail stop-losses by recalculating based on current T3 ATR as the trade progresses Adjust the volume factor based on desired stop-loss stability: higher VF for less frequent adjustments, lower VF for more adaptive stops Market Regime Identification: Calculate a reference volatility level using a longer-period moving average of T3 ATR (e.g., 50-period SMA) High Volatility Regime: Current T3 ATR significantly above reference (e.g., 120%+) - favor trend-following strategies, breakout trades, and wider targets Normal Volatility Regime: Current T3 ATR near reference (e.g., 80-120%) - employ standard trading strategies appropriate for prevailing market structure Low Volatility Regime: Current T3 ATR significantly below reference (e.g., <80%) - favor mean-reversion strategies, range trading, and prepare for potential volatility expansion Monitor T3 ATR trend direction and compare current values to recent history to identify regime transitions early Risk Management Implementation: Establish your maximum portfolio heat (total risk across all positions, typically 2-6% of capital) For each position: Calculate position size using the formula Position Size = (Account ร— Individual Risk %) / (ATR Multiplier ร— Current T3 ATR) When T3 ATR increases: Position sizes automatically decrease (same risk %, larger stop distance = smaller position) When T3 ATR decreases: Position sizes automatically increase (same risk %, smaller stop distance = larger position) This approach maintains constant dollar risk per trade regardless of market volatility changes Use consistent volume factor settings across all positions to ensure uniform risk measurement ๐Ÿ“‹ DETAILED PARAMETER CONFIGURATION ATR Length Parameter: Default Setting: 14 periods This is the standard ATR calculation period established by Welles Wilder, providing balanced volatility measurement that captures both short-term fluctuations and medium-term trends across most markets and timeframes Selection Principles: Shorter periods increase sensitivity to recent volatility changes and respond faster to market shifts, but may produce less stable readings Longer periods emphasize sustained volatility trends and filter out short-term noise, but respond more slowly to genuine regime changes The optimal period depends on your holding time, trading frequency, and the typical volatility cycle of your instrument Consider the timeframe you trade: Intraday traders typically use shorter periods, swing traders use intermediate periods, position traders use longer periods Practical Approach: Start with the default 14 periods and observe how well it captures volatility patterns relevant to your trading decisions If ATR seems too reactive to minor price movements: Increase the period until volatility readings better reflect meaningful market changes If ATR lags behind obvious volatility shifts that affect your trades: Decrease the period for faster response Match the period roughly to your typical holding time - if you hold positions for N bars, consider ATR periods in a similar range Test different periods using historical data for your specific instrument and strategy before committing to live trading T3 Volume Factor Parameter: Default Setting: 0.7 This setting provides a reasonable balance between responsiveness and smoothness for most market conditions and trading styles Understanding the Volume Factor: Lower values (closer to 0.0) reduce smoothing, allowing T3 ATR to respond more quickly to volatility changes but with less noise filtering Higher values (closer to 1.0) increase smoothing, producing more stable readings that focus on sustained volatility trends but respond more slowly The trade-off is between immediacy and stability - there is no universally optimal setting Selection Principles: Match to your decision speed: If you need to react quickly to volatility changes for entries/exits, use lower VF; if you're making longer-term risk assessments, use higher VF Match to market character: Noisier, choppier markets may benefit from higher VF for clearer signals; cleaner trending markets may work well with lower VF for faster response Match to your preference: Some traders prefer responsive indicators even with occasional false signals, others prefer stable indicators even with some delay Practical Adjustment Guidelines: Start with default 0.7 and observe how T3 ATR behavior aligns with your trading needs over multiple sessions If readings seem too unstable or noisy for your decisions: Try increasing VF toward 0.9-1.0 for heavier smoothing If the indicator lags too much behind volatility changes you care about: Try decreasing VF toward 0.3-0.5 for faster response Make meaningful adjustments (0.2-0.3 changes) rather than small increments - subtle differences are often imperceptible in practice Test adjustments in simulation or paper trading before applying to live positions ๐Ÿ“ˆ PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: The T3 smoothing algorithm provides improved responsiveness compared to traditional RMA smoothing used in standard ATR. The triple exponential design with volume factor control allows the indicator to respond more quickly to genuine volatility changes while maintaining the ability to filter noise through appropriate VF settings. This results in earlier detection of volatility regime changes compared to standard ATR, particularly valuable for risk management and position sizing adjustments. Signal Stability: Unlike simple smoothing methods that may produce erratic signals during transitional periods, T3 ATR's multi-layer exponential smoothing provides more stable signal progression. The volume factor parameter allows traders to tune signal stability to their preference, with higher VF settings producing remarkably smooth volatility profiles that help avoid overreaction to temporary market fluctuations. Comparison with Standard ATR: Adaptability: T3 ATR allows adjustment of smoothing characteristics through the volume factor without changing the ATR period, whereas standard ATR requires changing the period length to alter responsiveness, potentially affecting the fundamental volatility measurement Lag Reduction: At lower volume factor settings, T3 ATR responds more quickly to volatility changes than standard ATR with equivalent periods, providing earlier signals for risk management adjustments Noise Filtering: At higher volume factor settings, T3 ATR provides superior noise filtering compared to standard ATR, producing cleaner signals for long-term analysis without sacrificing volatility measurement accuracy Flexibility: A single T3 ATR configuration can serve multiple trading styles by adjusting only the volume factor, while standard ATR typically requires multiple instances with different periods for different trading applications Suitable Use Cases: T3 ATR is well-suited for the following scenarios: Dynamic Risk Management: When position sizing and stop-loss placement need to adapt quickly to changing volatility conditions Multi-Style Trading: When a single volatility indicator must serve different trading approaches (day trading, swing trading, position trading) Volatile Markets: When standard ATR produces too many false volatility signals during choppy conditions Systematic Trading: When algorithmic systems require a single, configurable volatility input that can be optimized for different instruments Market Regime Analysis: When clear identification of volatility expansion and contraction phases is critical for strategy selection Known Limitations: Like all technical indicators, T3 ATR has limitations that users should understand: Historical Nature: T3 ATR is calculated from historical price data and cannot predict future volatility with certainty Smoothing Trade-offs: The volume factor setting involves a trade-off between responsiveness and smoothness - no single setting is optimal for all market conditions Extreme Events: During unprecedented market events or gaps, T3 ATR may not immediately reflect the full scope of volatility until sufficient data is processed Relative Measurement: T3 ATR values are most meaningful in relative context (compared to recent history) rather than as absolute thresholds Market Context Required: T3 ATR measures volatility magnitude but does not indicate price direction or trend quality - it should be used in conjunction with directional analysis Performance Expectations: T3 ATR is designed to help traders measure and adapt to changing market volatility conditions. When properly configured and applied: It can help reduce position risk during volatile periods through appropriate position sizing It can help identify optimal times for more aggressive position sizing during stable periods It can improve stop-loss placement by adapting to current market conditions It can assist in strategy selection by identifying volatility regimes However, volatility measurement alone does not guarantee profitable trading. T3 ATR should be integrated into a comprehensive trading approach that includes directional analysis, proper risk management, and sound trading psychology. USAGE NOTES This indicator is designed for technical analysis and educational purposes. T3 ATR provides adaptive volatility measurement but has limitations and should not be used as the sole basis for trading decisions. The indicator measures historical volatility patterns, and past volatility characteristics do not guarantee future volatility behavior. Market conditions can change rapidly, and extreme events may produce volatility readings that fall outside historical norms. Traders should combine T3 ATR with directional analysis tools, support/resistance analysis, and other technical indicators to form a complete trading strategy. Proper backtesting and forward testing with appropriate risk management is essential before applying T3 ATR-based strategies to live trading. The volume factor parameter should be optimized for specific instruments and trading styles through careful testing rather than assuming default settings are optimal for all applications.
Penunjuk Pine Scriptยฎ
oleh DCAUT
Multiple Symbol Trend Screener [Pineify]Multiple Symbol Trend Screener Pineify โ€“ Ultimate Multi-Indicator Scanner for TradingView Empower your trading with deep market insights across multiple symbols using this feature-rich Pine Script screener. The Multiple Symbol Trend Screener Pineify enables traders to monitor and compare trends, reversals, and consolidations in real-time across the biggest equity symbols on TradingView, through a synergistic blend of popular technical indicators. Key Features Monitor up to 15 symbols and their trends simultaneously Integrates 7 professional-grade indicators: MA Distance, Aroon, Parabolic SAR (PSAR), ADX, Supertrend, Keltner Channel, and BBTrend Color-coded table display for instant visual assessment Customizable lookback periods, indicator types, and calculation methods SEO optimized for multi-symbol trend detection, screener, and advanced TradingView indicator How It Works This indicator leverages TradingViewโ€™s Pine Script v6 and request.security() to process multiple symbols across selected timeframes. Data populates a dynamic table, updating each cell based on the calculated value of every underlying indicator. MA Distance highlights deviation from moving averages; Aroon flags emerging trend strength; PSAR marks potential trend reversals; ADX assesses trend momentum; Supertrend detects bullish/bearish phases; Keltner Channel and BBTrend offer volatility and power insights. Set up your preferred symbols and timeframes Each indicator runs its calculation per symbol using its parameter group All results are displayed in a table for a comprehensive dashboard view Trading Ideas and Insights Traders can use this screener for cross-market comparison, directional bias, entry/exit filtering, and comprehensive trend evaluation. The screener is excellent for swing trading, day trading, and portfolio tracking. It enables confirmation across multiple frameworks โ€” for example, spotting momentum with ADX before confirming direction with Supertrend and PSAR. Identify correlated movements or divergences across selected assets Spot synchronized trend changes for basket trading ideas Filter symbols by volatility, strength, or trend status for precise trade selection How Multiple Indicators Work Together The screenerโ€™s edge lies in its intelligent correlation of popular indicators. MA Distance measures the proximity to chosen moving averages, ideal for spotting overbought/oversold conditions. Aroon reveals the strength of new price trends, PSAR indicates reversal signals, and ADX quantifies the momentum of these trends. Supertrend provides a directional phase, while Keltner Channel & BBTrend analyze volatility shifts and band compressions. This amalgamation allows for a robust, multi-dimensional market snapshot, capturing details missed by single-indicator tools. By displaying all key metrics side-by-side, the screener enables holistic decision-making, revealing confluence zones and contradiction areas across multiple tickers and timeframes. Unique Aspects Original implementation combining seven independent trend and momentum indicators for each symbol Rich customization for symbols, timeframes, and all indicator parameters Intuitive color-coding for quick reading of bullish/bearish/neutral signals Comprehensive dashboard for instant actionable insights How to Use Load the indicator onto your TradingView chart Go to the scriptโ€™s settings and input your preferred symbols and relevant timeframes Set your desired parameters for each indicator group: Moving Average type, Aroon length, PSAR values, ADX smoothing, etc. Observe the results in the top-right table, then use it to filter candidates and validate trade setups The screener is suitable for all timeframes and asset classes available on TradingView. Make sure your chartโ€™s timeframe matches the one used in the scanner for optimal accuracy. Customization Choose up to 15 symbols to monitor in a single dashboard Customize lookback periods, indicator types, colors, and display settings Configure alerting options and thresholds for advanced trade automation Conclusion The Multiple Symbol Trend Screener Pineify sets a new standard for multi-asset screening on TradingView. By elegantly merging seven proven technical indicators, the screener delivers powerful trend detection, reversal analysis, and volatility monitoring โ€” all in one dashboard. Take your trading to new heights with in-depth, customizable market surveillance.
Penunjuk Pine Scriptยฎ
oleh Pineify
RSI Donchian Channel [DCAUT]โ–ˆ RSI Donchian Channel ๐Ÿ“Š ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. ๐Ÿ“ MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. ๐Ÿ“Š COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases ๐ŸŽฏ STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups ๐Ÿ“‹ DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts ๐Ÿ“ˆ PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
Penunjuk Pine Scriptยฎ
oleh DCAUT
Keltner Channel Enhanced [DCAUT]โ–ˆ Keltner Channel Enhanced ๐Ÿ“Š ORIGINALITY & INNOVATION The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches. Key Advancements: Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA) Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases. ๐Ÿ“ MATHEMATICAL FOUNDATION Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands. Core Calculation Process: 1. Middle Band (Basis) Calculation: The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period: basis = ma(source, length, maType) Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others. 2. Average True Range (ATR) Calculation: ATR measures market volatility by calculating the average of true ranges over the specified period: trueRange = max(high - low, abs(high - close ), abs(low - close )) atrValue = ma(trueRange, atrLength, atrMaType) ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others. 3. Channel Calculation: Upper and lower channels are positioned at specified multiples of ATR from the basis: upperChannel = basis + (multiplier ร— atrValue) lowerChannel = basis - (multiplier ร— atrValue) Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility. Keltner Channel vs. Bollinger Bands - Key Differences: While both indicators create volatility-based channels, they use fundamentally different volatility measures: Keltner Channel (ATR-based): Uses Average True Range to measure actual price movement volatility Incorporates gaps and limit moves through true range calculation More stable in trending markets, less prone to extreme compression Better reflects intraday volatility and trading range Typically fewer band touches, making touches more significant More suitable for trend-following strategies Bollinger Bands (Standard Deviation-based): Uses statistical standard deviation to measure price dispersion Based on closing prices only, doesn't account for intraday range Can compress significantly during consolidation (squeeze patterns) More touches in ranging markets Better suited for mean-reversion strategies Provides statistical probability framework (95% within 2 standard deviations) Algorithm Combination Effects: The interaction between middle band MA type and ATR MA type creates different indicator characteristics: Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes ๐Ÿ“Š COMPREHENSIVE SIGNAL ANALYSIS Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies. Channel Position Signals: Upper Channel Interaction: Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry Lower Channel Interaction: Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry Middle Band (Basis) Signals: Trend Direction Confirmation: Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs Pullback Trading Strategy: Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks Failed Test: Price breaking through middle band against trend direction signals potential reversal Volatility-Based Signals: Narrow Channels (Low Volatility): Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width Wide Channels (High Volatility): Trending Phase: Channels expand during strong directional moves and increased volatility Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal Advanced Pattern Recognition: Channel Walking Pattern: Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion Squeeze and Release Pattern: Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias) Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout Follow-Through: Measure squeeze height and project from breakout point for initial profit targets Channel Expansion Pattern: Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment Entry Timing: Enter positions early in expansion phase before trend becomes overextended Risk Management: Use channel width to size stops appropriately, wider channels require wider stops Basis Bounce Pattern: Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend Bounce Failure: Price penetrating basis signals weakening trend and potential reversal Divergence Analysis: Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction Reversal Signal: Divergences often precede trend reversals or significant consolidation periods Multi-Timeframe Analysis: Keltner Channels work particularly well in multi-timeframe trend-following approaches: Three-Timeframe Alignment: Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection Optimal Entry Conditions: Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels ๐ŸŽฏ STRATEGIC APPLICATIONS Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions. Trend Following Strategy: Setup Requirements: Identify established trend with price consistently on one side of basis line Wait for pullback to middle band (basis) or brief penetration through it Confirm trend resumption with price rejection at basis and move back toward outer channel Enter in trend direction with stop beyond basis line Entry Rules: Uptrend Entry: Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence) Enter long on rejection/bounce from basis with stop 1-2 ATR below basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Downtrend Entry: Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence) Enter short on rejection/reversal from basis with stop 1-2 ATR above basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Trend Management: Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position Profit Taking: Take partial profits at opposite channel, move stops to basis Position Additions: Add to winners on subsequent basis bounces if trend intact Breakout Strategy: Setup Requirements: Identify consolidation period with contracting channel width Monitor price action near middle band with reduced volatility Wait for decisive breakout beyond channel range with expanding width Enter in breakout direction after confirmation Breakout Confirmation: Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state Volume increases significantly on breakout (if using volume analysis) Price sustains outside channel for multiple bars without immediate reversal Entry Approaches: Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop Volatility-Based Position Sizing: Adjust position sizing based on channel width (ATR-based volatility): Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR ร— ATR Value) Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 ร— Capital / (2 ร— ATR), use multiples of ATR (1-2 ATR) for adaptive stops Algorithm Selection Guidelines: Different market conditions benefit from different algorithm combinations: Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following ๐Ÿ“‹ DETAILED PARAMETER CONFIGURATION Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches. Source Parameter: Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2 OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments Length Parameter: Controls the lookback period for middle band (basis) calculation: Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks. ATR Length Parameter: Controls the lookback period for Average True Range calculation, affecting channel width: Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels. Multiplier Parameter: Controls channel width by setting ATR multiples: Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier. MA Type Parameter (Middle Band): Critical selection that determines trend identification characteristics: EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions ATR MA Type Parameter: Determines how Average True Range is smoothed, affecting channel width stability: RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles Parameter Combination Strategies: Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions Offset Parameter: Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations. ๐Ÿ“ˆ PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness. Response Characteristics: Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 ร— length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention Comparison with Traditional Keltner Channels: Enhanced Version Advantages: Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences Comprehensive Alerts: Enhanced alert system including channel expansion detection Traditional Version Advantages: Simplicity: Fewer parameters, easier to understand and implement Standardization: Fixed EMA/RMA combination ensures consistency across users Research Base: Decades of backtesting and research on standard configuration When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe. When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks. Performance Across Market Conditions: Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation Keltner Channel vs. Bollinger Bands - Usage Comparison: Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends. Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities. Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation. Limitations and Considerations: General Limitations: Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms Trend-Dependent: Works best in trending markets, less effective in choppy conditions No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation Enhanced Version Specific Considerations: Optimization Risk: More parameters increase risk of curve-fitting historical data Complexity: Additional choices may overwhelm beginning traders Backtesting Challenges: Different algorithms produce different historical results Mitigation Strategies: Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones Multi-Timeframe Analysis: Confirm signals across different timeframes Proper Risk Management: Use appropriate position sizing and stops Start Simple: Begin with standard EMA/RMA before exploring alternatives Optimal Usage Recommendations: For Maximum Effectiveness: Start with standard EMA/RMA configuration to understand classic behavior Experiment with alternatives on demo account or paper trading Match algorithm combination to market condition and trading style Use channel width analysis to identify market phases Combine with complementary indicators for confirmation Implement strict risk management using ATR-based position sizing Focus on high-quality setups rather than trading every signal Respect the trend: trade with basis direction for higher probability Complementary Indicators: RSI or Stochastic: Confirm momentum at channel extremes MACD: Confirm trend direction and momentum shifts Volume: Validate breakouts and trend strength ADX: Measure trend strength, avoid Keltner signals in weak trends Support/Resistance: Combine with traditional levels for high-probability setups Bollinger Bands: Use together for enhanced breakout and volatility analysis USAGE NOTES This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Key considerations: Always use multiple forms of analysis and confirmation before entering trades Backtest any parameter combination thoroughly before live trading Be aware that optimization can lead to curve-fitting if not done carefully Start with standard EMA/RMA settings and adjust only when specific conditions warrant Understand that no moving average algorithm can eliminate lag entirely Consider market regime (trending, ranging, volatile) when selecting parameters Use ATR-based position sizing and risk management on every trade Keltner Channels work best in trending markets, less effective in choppy conditions Respect the trend direction indicated by price position relative to basis line The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
Penunjuk Pine Scriptยฎ
oleh DCAUT
Alt buy signal 1H Entry + 4H Confirm (MACD + Stoch RSI + HMA)This indicator is a multi-timeframe (MTF) analysis tool designed for the ALT trading , capturing entry signals on the 1-hour (1H) timeframe and confirming trends on the 4-hour (4H) timeframe. It combines MACD, Stoch RSI, and Hull Moving Average (HMA) to identify precise buy opportunities, particularly at reversal points after a downtrend or during trend shifts. It visually marks both past and current BUY signals for easy reference. Key Features: 1H Entry Signal (Early Ping): Triggers on a MACD golden cross (below 0) combined with a Stoch RSI oversold cross (below 20), offering an initial buy opportunity. 4H Trend Confirmation (Entry Ready): Validates the trend with a 4H MACD histogram rising (in negative territory) or a golden cross, plus a Stoch RSI turn-up (above 30). Past BUY Display: Labels past data points where these conditions were met as "1H BUY" or "FULL BUY," facilitating backtesting. HMA Filter: Optional HMA(16) to confirm price breakouts, enhancing trend validation. Purpose: Ideal for short-term scalping and swing trading. Supports a two-step strategy: initial partial entry on 1H signals, followed by additional entry on 4H confirmation. Usage Instructions Installation: Add the indicator to an IMX/USDT 1H chart on TradingView. Signal Interpretation: lime "1H BUY": 1H conditions met, consider initial entry (stop-loss: 3-5% below recent low). green "FULL BUY": 1H+4H conditions met, confirm trend for additional entry (take-profit: 10% below recent swing high). Customization: Adjust TF (1H/4H), MACD/Stoch RSI parameters, and HMA usage via the input settings. Alert Setup: Enable alerts for "ENTRY READY" (1H+4H) or "EARLY PING" (1H only) conditions. Advantages Accuracy: Reduces false signals by combining MACD golden cross below 0 with Stoch RSI oversold conditions. Dual Confirmation: 1H for quick timing and 4H for trend validation, improving risk management. Visualization: Past BUY points enable easy backtesting and pattern recognition. Flexibility: 4H confirmation mode adjustable (histogram rise or golden cross). Limitations Timeframe Dependency: Optimized for 1H charts; may not work on other timeframes. Market Conditions: Potential whipsaws in sideways markets; additional filters (e.g., RSI > 50) recommended. Manual Management: Stop-loss and take-profit require user discretion.
Penunjuk Pine Scriptยฎ
oleh coinmong
Candle Opens by HAZED๐ŸŽฏ Candle Opens by HAZED - Multi-Timeframe Open Levels Indicator ๐Ÿ“Š Overview This powerful indicator displays multiple timeframe opening prices on your chart, providing crucial reference levels that institutional traders and algorithms frequently monitor. Track up to 7 different timeframe opens simultaneously, from 1-hour to yearly, with advanced visualization features including dynamic coloring, heatmap analysis, and real-time status tracking. โœจ Key Features ๐Ÿ“ˆ Multi-Timeframe Support: - 1H, 4H, Daily, Weekly, Monthly, Quarterly, and Yearly opens - Each timeframe can be individually enabled/disabled - Automatic visibility adjustment based on chart timeframe ๐ŸŽจ Dynamic Visual System: - Smart Color Coding: Lines automatically change color based on price position (green above, red below) - Customizable Styling: Adjust line thickness, transparency, and colors - Intelligent Line Positioning: Choose between equal-length or staggered lines for better visibility - Enhanced Labels: Display timeframe only or include price with colored background ๐ŸŒˆ Advanced Heatmap: - Background coloring shows overall market sentiment across all timeframes - Gradient or solid color modes - Instantly see when multiple timeframes align bullish or bearish ๐Ÿ“Š Status Table Dashboard: - Real-time overview of all active opens - Shows current price position relative to each open - Simplified view when all timeframes align - Customizable position and font style โš™๏ธ Professional Tools: - Alert system for new open levels - Extended hours session support - Price discovery mode for EOD/intraday discrepancies - Left/right line extensions for enhanced visibility ๐Ÿ’ก Trading Applications Support & Resistance: Opening prices act as natural support/resistance levels. Price often reacts at these levels, providing entry/exit opportunities. Trend Confirmation: When price is above multiple opens (especially higher timeframes), it confirms bullish momentum. The opposite indicates bearish pressure. Mean Reversion: Price tends to revert to significant opens, particularly daily and weekly levels. Use these as targets for counter-trend trades. Breakout Trading: Monitor when price breaks above/below clustered opens for potential continuation moves. Risk Management: Use opens as logical stop-loss levels or position sizing references based on distance from key opens. ๐Ÿ”ง Indicator Settings Timeframes Section: - Toggle each timeframe on/off - Customize individual colors Visual Style Section: - Dynamic Colors: Auto-color based on price position - Line Thickness: 1-4 pixels - Transparency: 0-80% - Extension Length: How far lines extend right - Label Style: Plain or enhanced with price Heatmap Section: - Enable/disable background coloring - Adjust transparency - Choose gradient or solid zones Status Table Section: - Position on chart - Font selection Advanced Section: - Enable alerts for new opens - Price discovery mode - Extended hours inclusion ]๐Ÿ“ˆ Best Practices 1. Timeframe Selection: - For intraday: Focus on 1H, 4H, and Daily - For swing trading: Daily, Weekly, Monthly - For position trading: Monthly, Quarterly, Yearly 2. Color Coding: - Enable dynamic colors for instant sentiment reading - Use heatmap for overall market bias 3. Confluence Zones: - Pay special attention when multiple opens cluster - These zones often produce stronger reactions 4. Alignment Signals: - When all timeframes show same color = strong trend - Mixed colors = potential consolidation or reversal zone ๐ŸŽฏ Pro Tips - Volume Confirmation: Combine with volume indicators to confirm reactions at open levels - Multiple Instruments: Compare opens across correlated assets for divergences - News Events: Opens often act as magnets after major news releases - Options Trading: Weekly and monthly opens align with options expiry levels - Algorithmic Levels: Many algorithms use these opens for entries/exits ๐Ÿ”„ Updates in Version 8.3 - Added 1H and 4H timeframe support - Enhanced dynamic color system - Implemented heatmap visualization - Added real-time status table - Optimized performance for smoother operation - Improved label styling options - Better yearly timeframe detection โšก Performance Optimizations This indicator uses advanced Pine Script v6 features for optimal performance: - Efficient object reuse instead of recreation - Smart calculation loops - Minimal repainting - Optimized for real-time updates ๐Ÿ“ Notes - Works on all markets (stocks, forex, crypto, futures) - Best on timeframes lower than the opens you're tracking - Lines automatically hide when their timeframe is lower than chart timeframe - Past opens are not displayed (indicator shows current opens only) ๐Ÿ™ Credits & Support Created by HAZED | Version 8.3 Optimized for TradingView Pine Script v6 For questions, suggestions, or bug reports, please comment below. If you find this indicator useful, please consider leaving a like and a follow! Remember: No indicator is perfect. Always use proper risk management and combine multiple confirmation signals in your trading decisions.
Penunjuk Pine Scriptยฎ
oleh hazedoptions