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Crypto Breakout Buy/Sell Sequence ⚙️ Components & Sequence Multiple Timeframe (What It Does) 1. Bollinger Bands – Form the foundation by measuring volatility and creating the dynamic range where squeezes and breakouts occur. 2. Squeeze Dots – Show when price compresses inside the bands, signaling reduced volatility before expansion. 3. Breakout Event (Brk Dot) – Fires when price expands beyond the squeeze zone, confirming volatility expansion. (This paints Intra, before candle close) 4. Buy Signal – Confirms entry after a breakout is validated. (This paints at candle close) 5. Pump Signal – Flags sudden surges that extend sharply from the bands, often linked to strong inflows. 6. Momentum Stream – Tracks the strength of movement following the breakout, from continuation (🟢) to slowing (🟡) to exhaustion (🔴). (Resets at Pump Signal) 7. Overbought Indicator – Confirms when momentum has reached overheated conditions, often aligning with band extremes. 8. Sell Signal – Prints when exhaustion/reversal conditions are met, closing the trade cycle. The Crypto Breakout Buy/Sell Sequence is a no-repaint event indicator that maps a full trade cycle using Bollinger-band-based volatility states: Bollinger Bands → Squeeze → Breakout → Buy → Pump → Momentum → Top Test → Overbought → Sell. Each stage is rule-based and designed to be read on standard candlesticks. How It Works (System Logic) Volatility framework: Bollinger Bands define dynamic range and compression/expansion. Initiation: Squeeze → Breakout confirms expansion; Buy validates participation after expansion begins. Management: Pump highlights unusual acceleration; Momentum stream tracks continuation → slowing → exhaustion. Exhaustion/Exit: Top Testing + Overbought build the exhaustion case; Sell marks the sequence end. How To Use (Quick Guide) Wait for Squeeze → Breakout → Buy to establish a structured start. Manage with Momentum: 🟢 continuation, 🟡 slowing, 🔴 exhaustion pressure. Monitor extremes: Top Testing and/or Overbought = tighten risk. Exit on Sell or on your risk rules when exhaustion builds. Limitations & Good Practice Signals reflect price/volatility behavior, not certainty. Strong trends can remain extended; Overbought/Top Test ≠ instant reversal. Always confirm with your own risk rules, position sizing, and market context. Initial public release: integrated Squeeze/Breakout/Buy → Momentum → Exhaustion → Sell cycle; improved label clarity; cleaned defaults. Disclaimer For educational purposes only. Not financial advice. Past performance does not guarantee future results. Test before live use. Thank You
Penunjuk Pine Script®
oleh ictc3d
Smart Money Precision Structure [BullByte]Smart Money Precision Structure Advanced Market Structure Analysis Using Institutional Order Flow Concepts --- OVERVIEW Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis. --- PURPOSE AND ORIGINALITY Why This Indicator Was Developed • Addresses the gap between retail and institutional analysis methods • Consolidates multiple analysis techniques that professionals use separately • Automates complex market structure evaluation into actionable insights • Eliminates the need for multiple indicators by providing comprehensive analysis What Makes SMPS Original • Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering • Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns • Adaptive Intelligence - Parameters automatically adjust based on detected market conditions • Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100% • Structure Break Detection - Advanced pivot analysis identifies trend reversals early --- HOW IT WORKS - TECHNICAL METHODOLOGY 1. Market Regime Analysis Engine The indicator evaluates five core market dimensions: • Volatility Score - Measures current volatility against 50-period historical baseline • Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs • Momentum Score - Combines RSI divergence with MACD signal alignment • Structure Score - Evaluates pivot point formation clarity • Efficiency Score - Calculates directional movement efficiency ratio These scores combine to classify markets into five regimes: • TRENDING - Strong directional movement with aligned indicators • RANGING - Sideways movement with mixed directional signals • VOLATILE - Elevated volatility with unpredictable price swings • QUIET - Low volatility consolidation periods • TRANSITIONAL - Market shifting between different regimes 2. Market Structure Analysis Advanced pivot point analysis identifies: • Higher Highs and Higher Lows for bullish structure • Lower Highs and Lower Lows for bearish structure • Structure breaks when established patterns fail • Dynamic support and resistance from recent pivot points • Key level proximity detection using ATR-based buffers 3. Volume Flow Decoding Institutional activity detection through: • Volume surge identification when volume exceeds 2x average • Buy versus sell pressure analysis using price-volume correlation • Flow strength measurement through directional volume consistency • Divergence detection between volume and price movements • Institutional threshold alerts when unusual volume patterns emerge 4. Multi-Period Momentum Synthesis Weighted momentum calculation across four timeframes: • 1-period momentum weighted at 40% • 3-period momentum weighted at 30% • 5-period momentum weighted at 20% • 8-period momentum weighted at 10% Result smoothed with 6-period EMA for noise reduction. 5. Price Action Quality Assessment Each bar evaluated for: • Range quality relative to 20-period average • Body-to-range ratio for directional conviction • Wick analysis for rejection pattern identification • Pattern recognition including engulfing and hammer formations • Sequential price movement analysis 6. Adaptive Parameter System Parameters automatically adjust based on detected regime: • Trending markets reduce sensitivity and confirmation requirements • Volatile markets increase filtering and require additional confirmations • Ranging markets maintain neutral settings • Transitional markets use moderate adjustments --- COMPLETE SETTINGS GUIDE Section 1: Core Analysis Settings Analysis Sensitivity (0.3-2.0) • Default: 1.0 • Lower values require stronger price movements • Higher values detect more subtle patterns • Scalpers use 0.8-1.2, swing traders use 1.5-2.0 Noise Reduction Level (2-7) • Default: 4 • Controls filtering of false patterns • Higher values reduce pattern frequency • Increase in volatile markets Minimum Move % (0.05-0.50) • Default: 0.15% • Sets minimum price movement threshold • Adjust based on instrument volatility • Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50% High Confirmation Mode • Default: True (Enabled) • Requires all technical conditions to align • Reduces frequency but increases reliability • Disable for more aggressive pattern detection Section 2: Market Regime Detection Enable Regime Analysis • Default: True (Enabled) • Activates market environment evaluation • Essential for adaptive features • Keep enabled for best results Regime Analysis Period (20-100) • Default: 50 bars • Determines regime calculation lookback • Shorter for responsive, longer for stable • Scalping: 20-30, Swing: 75-100 Minimum Market Clarity (0.2-0.8) • Default: 0.4 • Quality threshold for pattern generation • Higher values require clearer conditions • Lower for more patterns, higher for quality Adaptive Parameter Adjustment • Default: True (Enabled) • Enables automatic parameter optimization • Adjusts based on market regime • Highly recommended to keep enabled Section 3: Market Structure Analysis Enable Structure Validation • Default: True (Enabled) • Validates patterns against support/resistance • Confirms trend structure alignment • Essential for reliability Structure Analysis Period (15-50) • Default: 30 bars • Period for structure pattern analysis • Affects support/resistance calculation • Match to your trading timeframe Minimum Structure Alignment (0.3-0.8) • Default: 0.5 • Required structure score for valid patterns • Higher values need stronger structure • Balance with desired frequency Section 4: Analysis Configuration Minimum Strength Level (3-5) • Default: 4 • Minimum confirmations for pattern display • 5 = Maximum reliability, 3 = More patterns • Beginners should use 4-5 Required Technical Confirmations (4-6) • Default: 5 • Number of aligned technical factors • Higher = fewer but better patterns • Works with High Confirmation Mode Pattern Separation (3-20 bars) • Default: 8 bars • Minimum bars between patterns • Prevents clustering and overtrading • Increase for cleaner charts Section 5: Technical Filters Momentum Validation • Default: True (Enabled) • Requires momentum alignment • Filters counter-trend patterns • Essential for trend following Volume Confluence Analysis • Default: True (Enabled) • Requires volume confirmation • Identifies institutional participation • Critical for reliability Trend Direction Filter • Default: True (Enabled) • Only shows patterns with trend • Reduces counter-trend signals • Disable for reversal hunting Section 6: Volume Flow Analysis Institutional Activity Threshold (1.2-3.5) • Default: 2.0 • Multiplier for unusual volume detection • Lower finds more institutional activity • Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5 Volume Surge Multiplier (1.8-4.5) • Default: 2.5 • Defines significant volume increases • Adjust per instrument characteristics • Higher for stocks, lower for forex Volume Flow Period (12-35) • Default: 18 bars • Smoothing for volume analysis • Shorter = responsive, longer = smooth • Match to timeframe used Section 7: Analysis Frequency Control Maximum Analysis Points Per Hour (1-5) • Default: 3 • Limits pattern frequency • Prevents overtrading • Scalpers: 4-5, Swing traders: 1-2 Section 8: Target Level Configuration Target Calculation Method • Default: Market Adaptive • Three modes available: - Fixed: Uses set point distances - Dynamic: ATR-based calculations - Market Adaptive: Structure-based levels Minimum Target/Risk Ratio (1.0-3.0) • Default: 1.5 • Minimum acceptable reward vs risk • Higher filters lower probability setups • Professional standard: 1.5-2.0 Fixed Mode Settings: • Fixed Target Distance: 50 points default • Fixed Invalidation Distance: 30 points default • Use for consistent instruments Dynamic Mode Settings: • Dynamic Target Multiplier: 1.8x ATR default • Dynamic Invalidation Multiplier: 1.0x ATR default • Adapts to volatility automatically Market Adaptive Settings: • Use Structure Levels: True (default) • Structure Level Buffer: 0.1% default • Places levels at actual support/resistance Section 9: Visual Display Settings Color Theme Options • Professional (Teal/Red) - Bullish: Teal (#26a69a) - Bearish: Red (#ef5350) - Neutral: Gray (#78909c) - Best for: Traditional traders, clean appearance • Dark (Neon Green/Pink) - Bullish: Neon Green (#00ff88) - Bearish: Hot Pink (#ff0044) - Neutral: Dark Gray (#333333) - Best for: Dark theme users, high contrast • Light (Green/Red Classic) - Bullish: Green (#4caf50) - Bearish: Red (#f44336) - Neutral: Light Gray (#9e9e9e) - Best for: Light backgrounds, traditional colors • Vibrant (Cyan/Magenta) - Bullish: Cyan (#00ffff) - Bearish: Magenta (#ff00ff) - Neutral: Medium Gray (#888888) - Best for: High visibility, modern appearance Dashboard Position • Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right • Default: Top Right • Choose based on chart layout preference Dashboard Size • Full: Complete information display (desktop) • Mobile: Compact view for small screens • Default: Full Analysis Display Style • Arrows : Simple directional markers • Labels : Detailed text information • Zones : Colored areas showing pattern regions • Default: Labels (most informative) Display Options: • Display Analysis Strength: Shows star rating • Display Target Levels: Shows target/invalidation lines • Display Market Regime: Shows regime in pattern labels --- HOW TO USE SMPS - DETAILED GUIDE Understanding the Dashboard Top Row - Header • SMPS Dashboard title • VALUE column: Current readings • STATUS column: Condition assessments Market Regime Row • Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL • Color coding: Green = Favorable, Red = Caution • Status: FAVORABLE or CAUTION trading conditions Market Score Row • Percentage from 0-100% • Above 60% = Strong conditions • 40-60% = Moderate conditions • Below 40% = Weak conditions Structure Row • Direction: BULLISH, BEARISH, or NEUTRAL • Status: INTACT or BREAK • Orange BREAK indicates structure failure Volume Flow Row • Direction: BUYING or SELLING • Intensity: STRONG or WEAK • Color indicates dominant pressure Momentum Row • Numerical momentum value • Positive = Upward pressure • Negative = Downward pressure Volume Status Row • INST = Institutional activity detected • HIGH = Above average volume • NORM = Normal volume levels Adaptive Mode Row • ACTIVE = Parameters adjusting • STATIC = Fixed parameters • Shows required confirmations Analysis Level Row • Minimum strength level setting • Pattern separation in bars Market State Row • Current analysis: BULLISH, BEARISH, NEUTRAL • Shows analysis price level when active T:R Ratio Row • Current target to risk ratio • GOOD = Meets minimum requirement • LOW = Below minimum threshold Strength Row • BULL or BEAR dominance • Numerical strength value 0-100 Price Row • Current price • Percentage change Last Analysis Row • Previous pattern direction • Bars since last pattern Reading Pattern Signals Bullish Structure Pattern • Upward triangle or "Bullish Structure" label • Star rating shows strength (★★★★★ = strongest) • Green line = potential target level • Red dashed line = invalidation level • Appears below price bars Bearish Structure Pattern • Downward triangle or "Bearish Structure" label • Star rating indicates reliability • Green line = potential target level • Red dashed line = invalidation level • Appears above price bars Pattern Strength Interpretation • ★★★★★ = 6 confirmations (exceptional) • ★★★★☆ = 5 confirmations (strong) • ★★★☆☆ = 4 confirmations (moderate) • ★★☆☆☆ = 3 confirmations (minimum) • Below minimum = filtered out Visual Elements on Chart Lines and Levels: • Gray Line = 21 EMA trend reference • Green Stepline = Dynamic support level • Red Stepline = Dynamic resistance level • Green Solid Line = Active target level • Red Dashed Line = Active invalidation level Pattern Markers: • Triangles = Arrow display mode • Text Labels = Label display mode • Colored Boxes = Zone display mode Target Completion Labels: • "Target" = Price reached target level • "Invalid" = Pattern invalidated by price --- RECOMMENDED USAGE BY TIMEFRAME 1-Minute Charts (Scalping) • Sensitivity: 0.8-1.2 • Noise Reduction: 3-4 • Pattern Separation: 3-5 bars • High Confirmation: Optional • Best for: Quick intraday moves 5-Minute Charts (Precision Intraday) • Sensitivity: 1.0 (default) • Noise Reduction: 4 (default) • Pattern Separation: 8 bars • High Confirmation: Enabled • Best for: Day trading 15-Minute Charts (Short Swing) • Sensitivity: 1.0-1.5 • Noise Reduction: 4-5 • Pattern Separation: 10-12 bars • High Confirmation: Enabled • Best for: Intraday swings 30-Minute to 1-Hour (Position Trading) • Sensitivity: 1.5-2.0 • Noise Reduction: 5-7 • Pattern Separation: 15-20 bars • Regime Period: 75-100 • Best for: Multi-day positions Daily Charts (Swing Trading) • Sensitivity: 1.8-2.0 • Noise Reduction: 6-7 • Pattern Separation: 20 bars • All filters enabled • Best for: Long-term analysis --- MARKET-SPECIFIC SETTINGS Forex Pairs • Minimum Move: 0.05-0.10% • Institutional Threshold: 1.5-2.0 • Volume Surge: 1.8-2.2 • Target Mode: Dynamic or Market Adaptive Stock Indices (ES, NQ, YM) • Minimum Move: 0.10-0.15% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.0 • Target Mode: Market Adaptive Individual Stocks • Minimum Move: 0.15-0.25% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.5 • Target Mode: Dynamic Cryptocurrency • Minimum Move: 0.20-0.50% • Institutional Threshold: 2.5-3.5 • Volume Surge: 3.0-4.5 • Target Mode: Dynamic • Increase noise reduction --- PRACTICAL APPLICATION EXAMPLES Example 1: Strong Trending Market Dashboard Reading: • Market Regime: TRENDING • Market Score: 75% • Structure: BULLISH, INTACT • Volume Flow: BUYING, STRONG • Momentum: +0.45 Interpretation: • Strong uptrend environment • Institutional buying present • Look for bullish patterns as continuation • Higher probability of success • Consider using lower sensitivity Example 2: Range-Bound Conditions Dashboard Reading: • Market Regime: RANGING • Market Score: 35% • Structure: NEUTRAL • Volume Flow: SELLING, WEAK • Momentum: -0.05 Interpretation: • No clear direction • Low opportunity environment • Patterns are less reliable • Consider waiting for regime change • Or switch to a range-trading approach Example 3: Structure Break Alert Dashboard Reading: • Previous: BULLISH structure • Current: Structure BREAK • Volume: INST flag active • Momentum: Shifting negative Interpretation: • Trend reversal potentially beginning • Institutional participation detected • Watch for bearish pattern confirmation • Adjust bias accordingly • Increase caution on long positions Example 4: Volatile Market Dashboard Reading: • Market Regime: VOLATILE • Market Score: 45% • Adaptive Mode: ACTIVE • Confirmations: Increased to 6 Interpretation: • Choppy conditions • Parameters auto-adjusted • Fewer but higher quality patterns • Wider stops may be needed • Consider reducing position size Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action. • Example 1 – Bullish Structure Detection on SOLUSD 5m • Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m --- TROUBLESHOOTING GUIDE No Patterns Appearing Check these settings: • High Confirmation Mode may be too restrictive • Minimum Strength Level may be too high • Market Clarity threshold may be too high • Regime filter may be blocking patterns • Try increasing sensitivity Too Many Patterns Adjust these settings: • Enable High Confirmation Mode • Increase Minimum Strength Level to 5 • Increase Pattern Separation • Reduce Sensitivity below 1.0 • Enable all technical filters Dashboard Shows "CAUTION" This indicates: • Market conditions are unfavorable • Regime is RANGING or QUIET • Market score is low • Consider waiting for better conditions • Or adjust expectations accordingly Patterns Not Reaching Targets Consider: • Market may be choppy • Volatility may have changed • Try Dynamic target mode • Reduce target/risk ratio requirement • Check if regime is VOLATILE --- ALERTS CONFIGURATION Alert Message Format Alerts include: • Pattern type (Bullish/Bearish) • Strength rating • Market regime • Analysis price level • Target and invalidation levels • Strength percentage • Target/Risk ratio • Educational disclaimer Setting Up Alerts • Click Alert button on TradingView • Select SMPS indicator • Choose alert frequency • Customize message if desired • Alerts fire on pattern detection --- DATA WINDOW INFORMATION The Data Window displays: • Market Regime Score (0-100) • Market Structure Bias (-1 to +1) • Bullish Strength (0-100) • Bearish Strength (0-100) • Bull Target/Risk Ratio • Bear Target/Risk Ratio • Relative Volume • Momentum Value • Volume Flow Strength • Bull Confirmations Count • Bear Confirmations Count --- BEST PRACTICES AND TIPS For Beginners • Start with default settings • Use High Confirmation Mode • Focus on TRENDING regime only • Paper trade first • Learn one timeframe thoroughly For Intermediate Users • Experiment with sensitivity settings • Try different target modes • Use multiple timeframes • Combine with price action analysis • Track pattern success rate For Advanced Users • Customize per instrument • Create setting templates • Use regime information for bias • Combine with other indicators • Develop systematic rules --- IMPORTANT DISCLAIMERS • This indicator is for educational and informational purposes only • Not financial advice or a trading system • Past performance does not guarantee future results • Trading involves substantial risk of loss • Always use appropriate risk management • Verify patterns with additional analysis • The author is not a registered investment advisor • No liability accepted for trading losses --- VERSION NOTES Version 1.0.0 - Initial Release • Six-layer confluence system • Adaptive parameter technology • Institutional volume detection • Market regime classification • Structure break identification • Real-time dashboard • Multiple display modes • Comprehensive settings ## My Final Thoughts Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve. The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system. - BullByte
Penunjuk Pine Script®
oleh BullByte
6
Fear & Greed Oscillator — LEAP Puts (v6, manual DMI/ADX)Fear & Greed Oscillator — LEAP Puts (v6, manual DMI/ADX) is a Puts-focused mirror of the Calls version, built to flag top risk and momentum rollovers for timing LEAP Put entries. It outputs a smoothed composite from −100 to +100 using slower MACD, manual DMI/ADX (Wilder), RSI and Stoch RSI extremes, OBV distribution vs. accumulation, and volume spike & direction, with optional Put/Call Ratio and IV Rank inputs. All thresholds, weights, and smoothing match the Calls script for 1:1 customization, and a component table shows what’s driving the score. Reading is simple: higher values = rising top-risk (red shading above “Top-Risk”); lower values = deep dip / bounce risk (green shading). Built-in alerts cover Top-Risk, Deep Dip, and zero-line crosses for clear, actionable cues.
Penunjuk Pine Script®
oleh jareddayed
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins. This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend. Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy. It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model. ✅ Why did I choose OTHERS.D and MEME.D as reference indices? I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins. 🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap. This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins. 🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins. A rising OTHERS.D often signals the start of broader altcoin rallies. 🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity. It's perfect for timing momentum shifts in high-risk, high-reward tokens. By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior. 📐 How It Works — Core Logic and Execution Model At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index. A trade is only executed when both EMA crossovers agree on the direction. For example: Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy. Additionally, the strategy includes: - Adaptive position sizing, based on fixed capital or current equity (compound mode) - Take Profit and Stop Loss in percentage terms - Smart partial exits when trend momentum fades - Date filtering for precise backtesting over specific timeframes - Real-time performance stats, equity tracking, and visual cues on chart ⚙️ Parameters & Customization 🔁 EMA Settings Each EMA pair is customizable: Coin Fast EMA: Default = 47 Coin Slow EMA: Default = 50 Index Fast EMA: Default = 47 Index Slow EMA: Default = 50 These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive. 🧭 Index Reference The correlation mechanism uses CryptoCap sector dominance indexes: OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones MEME.D: Dominance of all Meme coins These are dynamically calculated using: OTHERS_D = OTHERS_cap / TOTAL_cap * 100 MEME_D = MEME_cap / TOTAL_cap * 100 You can select: Reference Index: OTHERS.D or MEME.D Or disable the index reference completely (Don't Use Index Reference) 💰 Position Sizing & Risk Management Two capital allocation models are supported: - Fixed % of initial capital (default) - Compound profits, which scales positions as equity grows Settings: - Compound profits?: true/false - % of equity: Between 1% and 200% (default = 10%) This is critical for users who want to balance growth with risk. 🎯 Take Profit / Stop Loss Customizable thresholds determine automatic exits: - TakeProfit: Default = 99999 (disabled) - StopLoss: Default = 5 (%) These exits are percentage-based and operate off the entry price vs. current close. 📉 Trend Weakening Exit (Scale Out) If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position: - Scale Position on Weak Trend?: true/false - Scaled Percentage: % to close (default = 65%) This feature is useful for preserving profits without exiting completely. 📆 Date Filter Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets): - Filter Date Range of Backtest: ON/OFF - Start Date and End Date: Custom time range OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab): - Initial Capital is set to 100 USD - Commission is set to 0.055% (The ones I have on Bybit) - Slippage is set to 3 ticks - Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation 📊 Visual Feedback and Debug Tools 📈 EMA Trend Visualization The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend: Lime: Coin and index both bullish Teal: Only coin bullish Maroon: Only index bullish Red: Both bearish This allows for immediate visual confirmation of current trend strength. 💬 Real-Time PnL Labels When a trade closes, a label shows: Previous trade return in % (first value is the effective PL) Green background for profit, Red for losses. 📑 Summary Table Overlay This table appears in a corner of the chart (user-defined) and shows live performance data including: Trade direction (yellow long, purple short) Emojis: 💚 for current profit, 😡 for current loss Total number of trades Win rate Max drawdown Duration in days Current trade profit/loss (absolute and %) Cumulative PnL (absolute and %) APR (Annualized Percentage Return) Each metric is color-coded: Green for strong results Yellow/orange for average Red/maroon for poor performance You can select where this appears: Top Left Top Right Bottom Left Bottom Right (default) 📚 Interpretation of Key Metrics Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”) Net Profit: Total gains including open positions Max Drawdown: Largest peak-to-valley drop in strategy equity APR: Annualized return calculated based on equity growth and days elapsed Win Rate: % of profitable trades PnL %: Percentage profit on the most recent trade 🧠 Advanced Logic & Safety Features 🛑 “Don’t Re-Enter” Filter If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets. 🧷 Equity Protection No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical. Keep in mind that past results in no way guarantee future performance. Eddie Bitcoin
Strategi Pine Script®
oleh Eddie_Bitcoin
MTF Oscillator Stack [BigBeluga]🔵 OVERVIEW The MTF Oscillator Stack brings powerful multi-timeframe momentum analysis directly into your price chart. You can select one oscillator— RSI , MFI , or Stochastic RSI —and display it across up to 4 different timeframes. Each panel is neatly stacked horizontally above price , offering quick insight into cross-timeframe conditions like trend direction, exhaustion zones, and momentum shifts. 🔵 CONCEPTS Single Oscillator Mode: Select one oscillator type (RSI, MFI, or Stoch RSI) to analyze across all selected timeframes. Top-Chart Horizontal Panels: Oscillator plots are aligned horizontally at the top of the chart for seamless top-down reading. Signal Comparison Arrows: Arrows (🢁 / 🢃) indicate oscillator position relative to its signal line. Overbought/Oversold Zones: Transparent 30–70 fill zones highlight key reversal areas. Dynamic Display Logic: Only enabled panels are shown; spacing adjusts based on active timeframes. Timeframe Tagging: Each oscillator panel is labeled with its corresponding timeframe (e.g., 1H, 2H, 4H). 🔵 FEATURES Choose one oscillator (RSI, MFI, or Stoch RSI) and apply it across up to 4 timeframes. Each oscillator panel includes: price-synced plot, signal line, and zone shading. Scale alignment allows users to place charts at the bottom or top. Clear arrow signals show whether oscillator is bullish or bearish. Individual length and signal settings per timeframe. Toggle for alignment mode: evenly spaced or floating layout. All panels use a consistent layout for faster decision-making. 🔵 HOW TO USE Select your preferred oscillator and activate 2–4 key timeframes (e.g., 1H, 4H, D1, W1). Use signal crossovers as a bullish (🢁) or bearish (🢃) trend cue. Look for aligned extremes (e.g., all timeframes overbought) to spot momentum exhaustion. Ideal for momentum confluence strategies and top-down confirmation. Use horizontal layout to stay focused on price while assessing broader structure. 🔵 CONCLUSION MTF Oscillator Stack simplifies complex multi-timeframe momentum analysis into one clean, actionable visual. Whether you're tracking RSI, MFI, or Stoch RSI, this tool helps you stay aligned with the broader trend—without ever leaving your main chart.
Penunjuk Pine Script®
oleh BigBeluga
12
Spice • Micro Suite (T/r & B/r)What it is A single Pine v5 indicator that stacks: EMA ribbon + a “special” EMA (11 vs 34) line that flips color on trend. MTF-RSI “pressure” check with simple up/down arrows. Bollinger-Band re-entry system with Top/Bottom triggers (T/B) and confirmations (r) in the next N bars. Classic candlestick add-ons: 3-Line Strike and Leledc exhaustion dots. Your Micro Dots engine (ATR-based regime + Variable Moving Average filter) + an optional VMA trend line. Alerts for all the above. Key signals (what prints on the chart) EMAs (20/50/100/200): plotted faintly; EMA-34 is drawn and colored by the 11>34 trend. RSI arrows Checks RSI(6) on the current TF and (optionally) 5m/15m/30m/1h/4h/1D. Down arrow: current RSI > 70 and the selected higher TF RSIs are also > 70 (pressure cluster just cooled; barssince(redZone)<2). Up arrow: current RSI < 30 and selected higher TFs also < 30 (barssince(greenZone)<2). Bollinger Reversals (your update) T (Top trigger): first close back inside the upper BB (crossunder(close, upper)). B (Bottom trigger): first close back inside the lower BB (crossover(close, lower)). r (Confirm): within the next confirmBars bars (input), price also closes below the T-bar’s low → top r above bar closes above the B-bar’s high → bottom r below bar Bar tinting Only the T/B trigger bars are tinted (yellow/orange). Everything else stays your normal candle colors (unless you add the optional “trend candles” block I gave you). 3-Line Strike Prints a small green/red circle when the 3-line strike pattern appears (bull/bear). Leledc Exhaustion Calculates a running buy/sell index; prints a small ∘ at major highs/lows when exhaustion conditions hit (major==-1 high, major==1 low). Micro Dots (your second script, merged) ATR “micro supertrend” defines regime (up/down). A fast Variable Moving Average + a simple MA(18) filter. Green dot below bar when: VMA < price, price > MA(18), regime up, and VMA not pointing down. Red dot above bar for the bearish mirror. Separate VMA trend line (length = Fast/Med/Slow) that colors green/red/orange by slope. Inputs you’ll care about Top/Bot Reversal → confirmBars (how many bars you allow to confirm the T/B trigger). RSI Timeframes → toggle which HTFs must agree with the OB/OS condition. EMAs → show/hide and lengths. BB → show/hide basis/bands (used for T/B even if hidden). Micro → show dots, show VMA line, choose intensity (Fast/Med/Slow). Alerts Prebuilt alerts for: RSI Up/Down, T/B triggers, T/B confirmations, 3-Line Strike bull/bear, Leledc highs/lows, EMA crosses (20/50/100/200), the special 11/34 trend change, Micro Dots, and VMA price cross. (Alert messages are const strings so they compile cleanly.) How to read clusters (quick playbook) Reversal short: see T on/near upper band → get an r within your window → bonus confidence if an RSI down arrow or Leledc ∘ high shows up around the same time. Reversal long: mirror with B then r, plus RSI up arrow / Leledc ∘ low. Continuation: ignore lone T/B if Micro Dot stays green (or red) and EMA-11 > EMA-34 remains true. Why your candles look “normal” By design, the script only colors bars on T or B trigger bars. If you want always-on trend candles, use the small block I gave you to color by EMA(20/50) (or any rule you like) and let T/B override on trigger bars.
Penunjuk Pine Script®
oleh BigeMarket
$TICK & TICKQ Sentiment IndicatorThe USI:TICK & USI:TICKQ Sentiment Indicator is a versatile tool for traders analyzing the NYSE Tick Index ( USI:TICK ) or Nasdaq Tick Index ( USI:TICKQ ) to gauge market sentiment. It provides clear visual signals, a customizable moving average, and statistical insights to identify bullish and bearish conditions in real-time. Key Features: Sentiment Signals: Green triangle (▲) labels at a user-defined level (default: +1200) when the Tick closes above zero, and red triangle (▼) labels (default: -1200) when below zero, indicating bullish or bearish sentiment. Adjustable Moving Average: Plots a customizable moving average (SMA, EMA, WMA, VWMA, SMMA, HullMA) with user-defined length (default: 14) to smooth Tick data and highlight trends. Close Statistics: Displays the percentage of positive and negative Tick closes over a user-specified lookback period (default: 100) in a customizable table (position and font size adjustable). Threshold Lines: Includes reference lines at +800/-800 (gold) and +1000/-1000 (red) to mark key Tick levels, plus a zero line (gray, dashed) for context. Customizable Display: Adjust symbol sizes (tiny, small, normal, large, huge), table position (top-right, top-left, etc.), and table font size for a tailored chart experience. How to Use: Apply the indicator to a USI:TICK or USI:TICKQ chart (e.g., TVC:TICK, TVC:TICKQ) on an intraday timeframe (e.g., 1-minute, 5-minute). In the settings: Set the TICK Symbol to your broker’s NYSE Tick ( USI:TICK ) or Nasdaq Tick ( USI:TICKQ ) symbol. Adjust Top Level and Bottom Level (default: +1200/-1200) to position sentiment signals at chart edges. Set Moving Average Length and Type to suit your analysis. Configure Lookback Period for close percentage calculations. Customize Dot Size , Table Position , and Table Font Size for optimal visibility. Monitor green/red triangles for sentiment, the moving average for trends, and the table for statistical insights. Notes: This indicator is designed for both USI:TICK (NYSE Tick) and USI:TICKQ (Nasdaq Tick, NQ Tick), allowing analysis of either market’s breadth. Ensure your chart’s timeframe supports USI:TICK or USI:TICKQ data. Adjust Top Level / Bottom Level if symbols don’t appear at chart edges due to scaling. Labels may stack with frequent signals; contact the developer for customization to limit frequency. No symbol appears if the Tick closes at 0; a neutral marker can be added upon request. Ideal For: Day traders and scalpers using USI:TICK or USI:TICKQ to gauge market breadth. Analysts seeking customizable visualizations and statistical insights for Tick data. Created by northfieldwhale.
Penunjuk Pine Script®
oleh northfieldwhale
Squeeze Momentum Regression Clouds [SciQua]╭──────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ☁️ Squeeze Momentum Regression Clouds ╰──────────────────────────────────────────────╯ 🔍 Overview The Squeeze Momentum Regression Clouds (SMRC) indicator is a powerful visual tool for identifying price compression , trend strength , and slope momentum using multiple layers of linear regression Clouds. Designed to extend the classic squeeze framework, this indicator captures the behavior of price through dynamic slope detection, percentile-based spread analytics, and an optional UI for trend inspection — across up to four customizable regression Clouds . ──────────────────────────────────────────────────────────── ╭────────────────╮ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ⚙️ Core Features ╰────────────────╯ Up to 4 Regression Clouds – Each Cloud is created from a top and bottom linear regression line over a configurable lookback window. Slope Detection Engine – Identifies whether each band is rising, falling, or flat based on slope-to-ATR thresholds. Spread Compression Heatmap – Highlights compressed zones using yellow intensity, derived from historical spread analysis. Composite Trend Scoring – Aggregates directional signals from each Cloud using your chosen weighting model. Color-Coded Candles – Optional candle coloring reflects the real-time composite score. UI Table – A toggleable info table shows slopes, compression levels, percentile ranks, and direction scores for each Cloud. Gradient Cloud Styling – Apply gradient coloring from Cloud 1 to Cloud 4 for visual slope intensity. Weight Aggregation Options – Use equal weighting, inverse-length weighting, or max pooling across Clouds to determine composite trend strength. ──────────────────────────────────────────────────────────── ╭──────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ 🧪 How to Use the Indicator ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ 1. Understand Trend Bias with Cloud Colors ╰──────────────────────────────────────────╯ Each Cloud changes color based on its current slope: Green indicates a rising trend. Red indicates a falling trend. Gray indicates a flat slope — often seen during chop or transitions. Cloud 1 typically reflects short-term structure, while Cloud 4 represents long-term directional bias. Watch for multi-Cloud alignment — when all Clouds are green or red, the trend is strong. Divergence among Clouds often signals a potential shift. ──────────────────────────────────────────────────────────── ╭───────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ 2. Use Compression Heat to Anticipate Breakouts ╰───────────────────────────────────────────────╯ The space between each Cloud’s top and bottom regression lines is measured, normalized, and analyzed over time. When this spread tightens relative to its history, the script highlights the band with a yellow compression glow . This visual cue helps identify squeeze zones before volatility expands. If you see compression paired with a changing slope color (e.g., gray to green), this may indicate an impending breakout. ──────────────────────────────────────────────────────────── ╭─────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ 3. Leverage the Optional Table UI ╰─────────────────────────────────╯ The indicator includes a dynamic, floating table that displays real-time metrics per Cloud. These include: Slope direction and value , with historical Min/Max reference. Top and Bottom percentile ranks , showing how price sits within the Cloud range. Current spread width , compared to its historical norms. Composite score , which blends trend, slope, and compression for that Cloud. You can customize the table’s position, theme, transparency, and whether to show a combined summary score in the header. ──────────────────────────────────────────────────────────── ╭─────────────────────────────────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ 4. Analyze Candle Color for Composite Signals ╰─────────────────────────────────────────────╯ When enabled, the indicator colors candles based on a weighted composite score. This score factors in: The signed slope of each Cloud (up, down, or flat) The percentile pressure from the top and bottom bands The degree of spread compression Expect green candles in bullish trend phases, red candles during bearish regimes, and gray candles in mixed or low-conviction zones. Candle coloring provides a visual shorthand for market conditions , useful for intraday scanning or historical backtesting. ──────────────────────────────────────────────────────────── ╭────────────────────────╮ ‎ ‎ ‎ ‎ ‎‎ ‎‎‎ ‎ ‎ ‎ 🧰 Configuration Guidance ╰────────────────────────╯ To tailor the indicator to your strategy: Use Cloud lengths like 21, 34, 55, and 89 for a balanced multi-timeframe view. Adjust the slope threshold (default 0.05) to control how sensitive the trend coloring is. Set the spread floor (e.g., 0.15) to tune when compression is detected and visualized. Choose your weighting style : Inverse Length (favor faster bands), Equal, or Max Pooling (most aggressive). Set composite weights to emphasize trend slope, percentile bias, or compression—depending on your market edge. ──────────────────────────────────────────────────────────── ╭────────────────╮ ‎ ‎ ‎ ‎‎ ‎‎‎ ‎ ‎ ‎ ✅ Best Practices ╰────────────────╯ Use aligned Cloud colors across all bands to confirm trend conviction. Combine slope direction with compression glow for early breakout entry setups. In choppy markets, watch for Clouds 1 and 2 turning flat while Clouds 3 and 4 remain directional — a sign of potential trend exhaustion or consolidation. Keep the table enabled during backtesting to manually evaluate how each Cloud behaved during price turns and consolidations. ──────────────────────────────────────────────────────────── ╭───────────────────────╮ ‎ ‎ ‎ ‎‎ ‎ ‎ ‎‎ ‎‎ ‎ 📌 License & Usage Terms ╰───────────────────────╯ This script is provided under the Creative Commons Attribution-NonCommercial 4.0 International License . ✅ You are allowed to: Use this script for personal or educational purposes Study, learn, and adapt it for your own non-commercial strategies ❌ You are not allowed to: Resell or redistribute the script without permission Use it inside any paid product or service Republish without giving clear attribution to the original author For commercial licensing , private customization, or collaborations, please contact Joshua Danford directly.
Penunjuk Pine Script®
oleh JoshuaDanford
1
BTC Fractal Momentum ExtremesDescription – BTC Fractal Momentum Extremes (BTCFME) BTC Fractal Momentum Extremes (BTCFME) is a multi-factor, multi-method technical indicator designed to detect potential top and bottom reversal points in Bitcoin price action by integrating a confluence of unconventional signals. It combines fractals, adaptive momentum, volume dynamics, price velocity convergence, and market structure shifts — all filtered through real-time volatility and contextualized by temporal market conditions. This tool is best used by traders looking to spot high-confidence turning points on intraday or swing timeframes, and works particularly well in volatile, momentum-driven environments. Key Components & Methodology BTCFME utilizes five independent signal-generation methods: 1. Fractal Volume Divergence Detects reversal fractals in price (5-bar patterns) and validates them with volume anomalies: Volume spikes (e.g., climax moves) or Volume exhaustion (e.g., waning participation) 2. Adaptive Momentum Oscillator Calculates momentum normalized by ATR-adjusted volatility, filtering out noise in choppy markets. It spots directional shifts when momentum inflects from extreme levels. 3. Market Structure Breaks Identifies dynamic support and resistance using a configurable lookback, and flags potential breakouts or breakdowns from those levels. 4. Price Velocity Convergence Analyzes the rate of change (velocity) and its acceleration. When both compress within a narrow volatility range, it signals a potential inflection zone. 5. Temporal Confluence Filter Signals are only considered valid during active market hours (9 AM – 4 PM, excluding weekends) to reduce false positives during illiquid or inefficient trading periods. Signal Logic & Sensitivity Signals are generated when at least 3 out of 4 core methods agree, controlled by the Signal Sensitivity setting: 1 (High Sensitivity) = Trigger signals with fewer confirmations 5 (Low Sensitivity) = Require stronger multi-factor confluence 🔹 Buy (Bottom) Signals trigger when: Bullish fractals appear Momentum is deeply negative but improving Price tests structure support Velocity compresses below average 🔺 Sell (Top) Signals trigger when: Bearish fractals with volume spikes appear Momentum peaks and starts to decline Price tests resistance Velocity compresses near highs Visual Features Arrows: Buy signals = green arrow below candle. Sell signals = red arrow above candle. Background Color: Indicates overall momentum regime (green = bullish bias, red = bearish, gray = neutral). Dynamic Support & Resistance Lines: Based on recent swing highs/lows. Signal Table (top-right): Shows real-time stats on: Momentum value Volatility factor Volume strength (vs. 20-SMA) Market structure status Alerts You can set alerts using the built-in conditions: BTC Bottom Alert → Fires on potential market bottoms. BTC Top Alert → Fires on potential market tops. These alerts are filtered to avoid whipsaw conditions, by checking that opposite signals did not trigger in the last 2 candles. How to Use Timeframes: Best suited for 1H–4H and Daily BTC charts, but adaptable to others with parameter tuning. Confirm with Price Action: Use BTCFME signals in conjunction with candlestick patterns or S/R zones for best results. Adjust Sensitivity: Lower values catch more signals (good for scalping), higher values filter for stronger reversals (ideal for swing trades). Use in Trending or Reversing Markets: BTCFME performs best during trending environments or volatile reversals — avoid during prolonged flat/ranging zones. Notes & Recommendations BTCFME is not a standalone buy/sell signal; combine it with risk management and trend confirmation tools. Avoid using it during extremely low-volume sessions (e.g., late weekends). Adjust parameters based on BTC's evolving volatility and your trading style.
Penunjuk Pine Script®
oleh HabibiBudo
Pattern Detector [theUltimator5]🎯 Overview The Pattern Detector is a comprehensive technical analysis indicator that automatically identifies and visualizes multiple pattern types on your charts. Built with advanced ZigZag technology and sophisticated pattern recognition algorithms, this tool helps traders spot high-probability trading opportunities across all timeframes and markets. ✨ Key Features 🔍 Multi-Pattern Detection System Harmonic Patterns: Butterfly, Gartley, Bat, and Crab patterns with precise Fibonacci ratios Classic Reversal Patterns: Head & Shoulders and Inverse Head & Shoulders Double Patterns: Double Tops and Double Bottoms with extreme validation Wedge Patterns: Rising and Falling Wedges with volume confirmation 📊 Advanced ZigZag Engine Customizable sensitivity (5-50 levels) Depth multiplier for multi-timeframe analysis Real-time pivot detection with noise filtering Option to display ZigZag lines only for pure price action analysis 🎨 Visualization Clean pattern lines with distinct color coding Point labeling system (X, A, B, C, D for harmonics / LS, H, RS for H&S) Pattern name displays with bullish/bearish direction Price target projections with arrow indicators Subtle pattern fills for enhanced visibility 🛠️ Settings & Configuration Core ZigZag Settings ZigZag Sensitivity (5-50): Controls pattern detection sensitivity. Lower values detect more patterns but may include noise. Higher values focus on major swings only. ZigZag Depth Multiplier (1-5): Multiplies sensitivity for deeper analysis. Level 1 = most responsive, Level 5 = major swings only. Pattern Detection Toggles Show ZigZag Lines Only: Displays pure ZigZag without pattern detection for price structure analysis Detect Harmonic Patterns: Enable/disable Fibonacci-based harmonic pattern detection Detect Head & Shoulders: Toggle classic reversal pattern identification Detect Double Tops/Bottoms: Enable double pattern detection with extreme validation Detect Wedge Patterns: Toggle wedge pattern detection with volume confirmation Display Options Show Pattern Names: Display pattern names directly on chart (e.g., "Butterfly (Bullish)") Show Point Labels: Add lettered labels at key pattern points for structure identification Project Harmonic Targets: Show projected completion points for incomplete harmonic patterns 📈 Pattern Types Explained Harmonic Patterns 🦋 Advanced Fibonacci-based patterns that provide high-probability reversal signals: Butterfly: AB=0.786 XA, BC=0.382-0.886 AB, CD=1.618-2.24 BC Gartley: AB=0.618 XA, BC=0.382-0.886 AB, CD=1.272-1.618 BC Bat: AB=0.382-0.50 XA, BC=0.382-0.886 AB, CD=1.618-2.24 BC Crab: AB=0.382-0.618 XA, BC=0.382-0.886 AB, CD=2.24-3.618 BC Head & Shoulders 👤 Classic three-peak reversal pattern indicating trend exhaustion: Standard H&S: Bearish reversal at tops Inverse H&S: Bullish reversal at bottoms Automatic neckline validation and price target calculation Double Patterns 📊 Powerful reversal patterns with extreme validation: Double Top: Two similar highs with valley between (bearish) Double Bottom: Two similar lows with peak between (bullish) Includes lookback period validation to ensure patterns are significant extremes Wedge Patterns 📐 Continuation/reversal patterns with converging trend lines: Rising Wedge: Converging upward slopes (typically bearish) Falling Wedge: Converging downward slopes (typically bullish) Volume confirmation required for increased accuracy 🎯 Trading Applications Entry Signals Harmonic Patterns: Enter at point D completion with targets at point A H&S Patterns: Enter on neckline break with calculated targets Double Patterns: Enter on support/resistance break with measured moves Wedge Patterns: Enter on breakout direction with volume confirmation Risk Management Use pattern structure for logical stop placement Pattern invalidation levels provide clear exit rules Multiple pattern confirmation increases probability Multi-Timeframe Analysis Higher ZigZag depth for longer-term patterns Lower sensitivity for short-term trading patterns Combine with other timeframes for confluence ⚙️ Optimal Settings For Day Trading (1m-15m charts) ZigZag Sensitivity: 5-9 Depth Multiplier: 1-2 Enable all pattern types for maximum opportunities For Swing Trading (1H-4H charts) ZigZag Sensitivity: 9-15 Depth Multiplier: 2-3 Focus on harmonic and H&S patterns For Position Trading (Daily+ charts) ZigZag Sensitivity: 15-25 Depth Multiplier: 3-5 Emphasize major harmonic and double patterns 🔧 Technical Specifications Maximum Lookback: 5000 bars for comprehensive analysis Pattern Overlap Prevention: Intelligent filtering prevents duplicate patterns Performance Optimized: Efficient algorithms for real-time detection Volume Integration: Advanced volume analysis for wedge confirmation Fibonacci Precision: 10% tolerance for harmonic ratio validation 📚 How to Use Add to Chart: Apply indicator to any timeframe/market Configure Settings: Adjust sensitivity based on trading style Enable Patterns: Toggle desired pattern types Analyze Results: Look for completed patterns with clear structure Plan Trades: Use price targets and pattern invalidation for trade management Perfect for both novice and experienced traders seeking systematic pattern recognition with visualization and entry/exit signals.
Penunjuk Pine Script®
oleh TheUltimator5
9
Yelober - Intraday ETF Dashboard# How to Read the Yelober Intraday ETF Dashboard The Intraday ETF Dashboard provides a powerful at-a-glance view of sector performance and trading opportunities. Here's how to interpret and use the information: ## Basic Dashboard Reading ### Color-Coding System - **Green values**: Positive performance or bullish signals - **Red values**: Negative performance or bearish signals - **Symbol colors**: Green = buy signal, Red = sell signal, Gray = neutral ### Example 1: Identifying Strong Sectors If you see XLF (Financials) with: - Day % showing +2.65% (green background) - Symbol in green color - RSI of 58 (not overbought) **Interpretation**: Financial sector is showing strength and momentum without being overextended. Consider long positions in top financial stocks like JPM or BAC. ### Example 2: Spotting Weakness If you see XLK (Technology) with: - Day % showing -1.20% (red background) - Week % showing -3.50% (red background) - Symbol in red color - RSI of 35 (approaching oversold) **Interpretation**: Technology sector is showing weakness across multiple timeframes. Consider avoiding tech stocks or taking short positions in names like MSFT or AAPL, but be cautious as the low RSI suggests a bounce may be coming. ## Advanced Interpretations ### Example 3: Sector Rotation Detection If you observe: - XLE (Energy) showing +2.10% while XLK (Technology) showing -1.50% - Both sectors' Week % values showing the opposite trend **Interpretation**: This suggests money is rotating out of technology into energy stocks. This rotation pattern is actionable - consider reducing tech exposure and increasing energy positions (look at XOM, CVX in the Top Stocks column). ### Example 4: RSI Divergences If you see XLU (Utilities) with: - Day % showing +0.50% (small positive) - RSI showing 72 (overbought, red background) **Interpretation**: Despite positive performance, the high RSI suggests the sector is overextended. This divergence between price and indicator suggests caution - the rally in utilities may be running out of steam. ### Example 5: Relative Strength in Weak Markets If SPY shows -1.20% but XLP (Consumer Staples) shows +0.30%: **Interpretation**: Consumer staples are showing defensive strength during market weakness. This is typical risk-off behavior. Consider defensive positions in stocks like PG, KO, or PEP for protection. ## Practical Application Scenarios ### Day Trading Setup 1. **Morning Market Assessment**: - Check which sectors are green pre-market - Focus on sectors with Day % > 1% and RSI between 40-70 - Identify 2-3 stocks from the Top Stocks column of the strongest sector 2. **Midday Reversal Hunting**: - Look for sectors with symbol color changing from red to green - Confirm with RSI moving away from extremes - Trade stocks from that sector showing similar pattern changes ### Swing Trading Application 1. **Trend Following**: - Identify sectors with positive Day % and Week % - Look for RSI values in uptrend but not overbought (45-65) - Enter positions in top stocks from these sectors, using daily charts for confirmation 2. **Contrarian Setups**: - Find sectors with deeply negative Day % but RSI < 30 - Look for divergence (price making new lows but RSI rising) - Consider counter-trend positions in the stronger stocks within these oversold sectors ## Reading Special Conditions ### Example 6: Risk-Off Environment If you observe: - XLP (Consumer Staples) and XLU (Utilities) both green - XLK (Technology) and XLY (Consumer Disc) both red - SPY slightly negative **Interpretation**: Classic risk-off rotation. Investors are moving to safety. Consider defensive positioning and reducing exposure to growth sectors. ### Example 7: Market Breadth Analysis Count the number of sectors in green vs. red: - If 7+ sectors are green: Strong bullish breadth, consider aggressive long positioning - If 7+ sectors are red: Weak market breadth, consider defensive positioning or shorts - If evenly split: Market is indecisive, focus on specific sector strength instead of broad market exposure Remember that this dashboard is most effective when combined with broader market analysis and appropriate risk management strategies.
Penunjuk Pine Script®
oleh yelober
Sessions [Plug&Play]This indicator automatically highlights the three major FX trading sessions—Asia, London, and New York—on your chart and, at the close of each session, draws right-extended horizontal rays at that session’s high and low. It’s designed to help you visually identify when price is trading within each session’s range and to quickly see where the highest and lowest prices occurred before the next major session begins. Key Features: Session Boxes Draws a semi-transparent box around each session’s timeframe (Asia, London, New York) based on your local UTC offset. Each box dynamically expands in real time: as new candles form during the session, the box’s top and bottom edges update to match the highest high and lowest low seen so far in that session. When the session ends, the box remains on your chart, anchored to the exact candles that formed its boundaries. High/Low Rays As soon as a session closes (e.g., London session ends at 17:00 UTC+0 by default), two horizontal rays are drawn at that session’s final high and low. These rays are “pinned” to the exact candles where the high/low occurred, so they stay in place when you scroll or zoom. Each ray extends indefinitely to the right, providing a clear reference of the key supply/demand levels created during that session. Session Labels Optionally places a small “London,” “New York,” or “Asia” label at the top edge of each completed session’s box. Labels are horizontally centered within the session’s box and use a contrasting, easy-to-read font color. Customizable Appearance Show/Hide Each Session: Toggle display of London, New York, and Asia sessions separately. Time Ranges: By default, London is 08:00–17:00 (UTC), New York is 13:00–22:00 (UTC), and Asia is 00:00–07:00 (UTC). You can override each session’s start/end times using the “Time Range” picker. Color & Opacity: Assign custom colors to each session. Choose a global “Dark,” “Medium,” or “Light” opacity preset to adjust box fill transparency and border shading. Show/Hide Labels & Outlines: Turn the text labels and the box borders on or off independently. UTC Offset Support If your local broker feed or price data is not in UTC, simply adjust the “UTC Offset (+/–)” input. The indicator will recalculate session start/end times relative to your chosen offset. How to Use: Add the Indicator: Open TradingView’s Pine Editor, paste in this script, and click “Add to Chart.” By default, you’ll see three translucent boxes appear once each session begins (Asia, London, New York). Watch in Real Time: As soon as a session starts, its box will appear anchored to the first candle. The top and bottom of the box expand if new extremes occur. When the session closes, the final box remains visible and two horizontal rays mark that session’s high and low. Analyze Key Levels: Use the high- and low-level rays to gauge session liquidity zones—areas where stop orders, breakouts, or reversals often occur. For example, if London’s high is significantly above current price, it may act as resistance in the New York session. Customize to Your Needs: Toggle specific sessions on/off (e.g., if you only care about London and New York). Change each session’s color to match your chart theme. Adjust the “UTC Offset” so sessions align with your local time. Disable labels or box borders if you prefer a cleaner look. Inputs Overview: Show London/New York/Asia Session (bool): Show or hide each session’s box and its high/low rays. Time Range (session): Defines the start/end of each session in “HHMM–HHMM” (24h) format. Colour (color): Custom color for each session’s box fill, border, and high/low rays. Show Session Labels (bool): Toggle the “London,” “New York,” “Asia” text that appears at the top of each completed box. Show Range Outline (bool): Toggle the box border (if off, only a translucent fill is drawn). Opacity Preset (Dark/Medium/Light): Controls transparency of box fill and border. UTC Offset (+/–) (int): Adjusts session times for different time zones (e.g., +1 for UTC+1). Why It’s Useful: Quickly Identify Session Activity: Visually distinguish when each major trading session is active, then compare price action across sessions. Pinpoint High/Low Liquidity Levels: Drawn rays highlight where the market hit its extremes—critical zones for stop orders or breakout entries. Multi-Timeframe Context: By seeing historical session boxes and rays, you can locate recurring supply/demand areas, overlap zones, or session re-tests. Fully Automated Workflow: Once added to your chart, the script does all the work of tracking session boundaries and drawing high/low lines—no manual box or line drawing necessary. Example Use Cases: London Breakout Traders: See where London’s high/low formed, then wait for price to revisit those levels during the New York session. Range Breakout Strategies: If price consolidates inside the London box, use the boxed extremes as immediate targets for breakout entries. Intraday Liquidity Swings: During quieter hours, watch Asia’s high/low to identify potential support/resistance before London’s opening. Overlap Zones: Compare London’s range with Asia’s range to find areas of confluence—high-probability reversal or continuation zones.
Penunjuk Pine Script®
oleh TBWS_Algo
MirPapa_Library_ICTLibrary "MirPapa_Library_ICT" GetHTFoffsetToLTFoffset(_offset, _chartTf, _htfTf)   GetHTFoffsetToLTFoffset @description Adjust an HTF offset to an LTF offset by calculating the ratio of timeframes.   Parameters:      _offset (int) : int The HTF bar offset (0 means current HTF bar).      _chartTf (string) : string The current chart’s timeframe (e.g., "5", "15", "1D").      _htfTf (string) : string The High Time Frame string (e.g., "60", "1D"). @return int The corresponding LTF bar index. Returns 0 if the result is negative. IsConditionState(_type, _isBull, _level, _open, _close, _open1, _close1, _low1, _low2, _low3, _low4, _high1, _high2, _high3, _high4)   IsConditionState @description Evaluate a condition state based on type for COB, FVG, or FOB. Overloaded: first signature handles COB, second handles FVG/FOB.   Parameters:      _type (string) : string Condition type ("cob", "fvg", "fob").      _isBull (bool) : bool Direction flag: true for bullish, false for bearish.      _level (int) : int Swing level (only used for COB).      _open (float) : float Current bar open price (only for COB).      _close (float) : float Current bar close price (only for COB).      _open1 (float) : float Previous bar open price (only for COB).      _close1 (float) : float Previous bar close price (only for COB).      _low1 (float) : float Low 1 bar ago (only for COB).      _low2 (float) : float Low 2 bars ago (only for COB).      _low3 (float) : float Low 3 bars ago (only for COB).      _low4 (float) : float Low 4 bars ago (only for COB).      _high1 (float) : float High 1 bar ago (only for COB).      _high2 (float) : float High 2 bars ago (only for COB).      _high3 (float) : float High 3 bars ago (only for COB).      _high4 (float) : float High 4 bars ago (only for COB). @return bool True if the specified condition is met, false otherwise. IsConditionState(_type, _isBull, _pricePrev, _priceNow)   IsConditionState @description Evaluate FVG or FOB condition based on price movement.   Parameters:      _type (string) : string Condition type ("fvg", "fob").      _isBull (bool) : bool Direction flag: true for bullish, false for bearish.      _pricePrev (float) : float Previous price (for FVG/FOB).      _priceNow (float) : float Current price (for FVG/FOB). @return bool True if the specified condition is met, false otherwise. IsSwingHighLow(_isBull, _level, _open, _close, _open1, _close1, _low1, _low2, _low3, _low4, _high1, _high2, _high3, _high4)   IsSwingHighLow @description Public wrapper for isSwingHighLow.   Parameters:      _isBull (bool) : bool Direction flag: true for bullish, false for bearish.      _level (int) : int Swing level (1 or 2).      _open (float) : float Current bar open price.      _close (float) : float Current bar close price.      _open1 (float) : float Previous bar open price.      _close1 (float) : float Previous bar close price.      _low1 (float) : float Low 1 bar ago.      _low2 (float) : float Low 2 bars ago.      _low3 (float) : float Low 3 bars ago.      _low4 (float) : float Low 4 bars ago.      _high1 (float) : float High 1 bar ago.      _high2 (float) : float High 2 bars ago.      _high3 (float) : float High 3 bars ago.      _high4 (float) : float High 4 bars ago. @return bool True if swing condition is met, false otherwise. AddBox(_left, _right, _top, _bot, _xloc, _colorBG, _colorBD)   AddBox @description Draw a rectangular box on the chart with specified coordinates and colors.   Parameters:      _left (int) : int Left bar index for the box.      _right (int) : int Right bar index for the box.      _top (float) : float Top price coordinate for the box.      _bot (float) : float Bottom price coordinate for the box.      _xloc (string) : string X-axis location type (e.g., xloc.bar_index).      _colorBG (color) : color Background color for the box.      _colorBD (color) : color Border color for the box. @return box Returns the created box object. Addline(_x, _y, _xloc, _color, _width)   Addline @description Draw a vertical or horizontal line at specified coordinates.   Parameters:      _x (int) : int X-coordinate for start (bar index).      _y (int) : float Y-coordinate for start (price).      _xloc (string) : string X-axis location type (e.g., xloc.bar_index).      _color (color) : color Line color.      _width (int) : int Line width. @return line Returns the created line object. Addline(_x, _y, _xloc, _color, _width)   Parameters:      _x (int)      _y (float)      _xloc (string)      _color (color)      _width (int) Addline(_x1, _y1, _x2, _y2, _xloc, _color, _width)   Parameters:      _x1 (int)      _y1 (int)      _x2 (int)      _y2 (int)      _xloc (string)      _color (color)      _width (int) Addline(_x1, _y1, _x2, _y2, _xloc, _color, _width)   Parameters:      _x1 (int)      _y1 (int)      _x2 (int)      _y2 (float)      _xloc (string)      _color (color)      _width (int) Addline(_x1, _y1, _x2, _y2, _xloc, _color, _width)   Parameters:      _x1 (int)      _y1 (float)      _x2 (int)      _y2 (int)      _xloc (string)      _color (color)      _width (int) Addline(_x1, _y1, _x2, _y2, _xloc, _color, _width)   Parameters:      _x1 (int)      _y1 (float)      _x2 (int)      _y2 (float)      _xloc (string)      _color (color)      _width (int) AddlineMid(_type, _left, _right, _top, _bot, _xloc, _color, _width)   AddlineMid @description Draw a midline between top and bottom for FVG or FOB types.   Parameters:      _type (string) : string Type identifier: "fvg" or "fob".      _left (int) : int Left bar index for midline start.      _right (int) : int Right bar index for midline end.      _top (float) : float Top price of the region.      _bot (float) : float Bottom price of the region.      _xloc (string) : string X-axis location type (e.g., xloc.bar_index).      _color (color) : color Line color.      _width (int) : int Line width. @return line or na Returns the created line or na if type is not recognized. GetHtfFromLabel(_label)   GetHtfFromLabel @description Convert a Korean HTF label into a Pine Script timeframe string via handler library.   Parameters:      _label (string) : string The Korean label (e.g., "5분", "1시간"). @return string Returns the corresponding Pine Script timeframe (e.g., "5", "60"). IsChartTFcomparisonHTF(_chartTf, _htfTf)   IsChartTFcomparisonHTF @description Determine whether a given HTF is greater than or equal to the current chart timeframe.   Parameters:      _chartTf (string) : string Current chart timeframe (e.g., "5", "15", "1D").      _htfTf (string) : string HTF timeframe (e.g., "60", "1D"). @return bool True if HTF ≥ chartTF, false otherwise. CreateBoxData(_type, _isBull, _useLine, _top, _bot, _xloc, _colorBG, _colorBD, _offset, _htfTf, htfBarIdx, _basePoint)   CreateBoxData @description Create and draw a box and optional midline for given type and parameters. Returns success flag and BoxData.   Parameters:      _type (string) : string Type identifier: "fvg", "fob", "cob", or "sweep".      _isBull (bool) : bool Direction flag: true for bullish, false for bearish.      _useLine (bool) : bool Whether to draw a midline inside the box.      _top (float) : float Top price of the box region.      _bot (float) : float Bottom price of the box region.      _xloc (string) : string X-axis location type (e.g., xloc.bar_index).      _colorBG (color) : color Background color for the box.      _colorBD (color) : color Border color for the box.      _offset (int) : int HTF bar offset (0 means current HTF bar).      _htfTf (string) : string HTF timeframe string (e.g., "60", "1D").      htfBarIdx (int) : int HTF bar_index (passed from HTF request).      _basePoint (float) : float Base point for breakout checks. @return tuple(bool, BoxData) Returns a boolean indicating success and the created BoxData struct. ProcessBoxDatas(_datas, _useMidLine, _closeCount, _colorClose)   ProcessBoxDatas @description Process an array of BoxData structs: extend, record volume, update stage, and finalize boxes.   Parameters:      _datas (array) : array Array of BoxData objects to process.      _useMidLine (bool) : bool Whether to update the midline endpoint.      _closeCount (int) : int Number of touches required to close the box.      _colorClose (color) : color Color to apply when a box closes. @return void No return value; updates are in-place. BoxData   Fields:      _isActive (series bool)      _isBull (series bool)      _box (series box)      _line (series line)      _basePoint (series float)      _boxTop (series float)      _boxBot (series float)      _stage (series int)      _isStay (series bool)      _volBuy (series float)      _volSell (series float)      _result (series string) LineData   Fields:      _isActive (series bool)      _isBull (series bool)      _line (series line)      _basePoint (series float)      _stage (series int)      _isStay (series bool)      _result (series string)
Perpustakaan Pine Script®
oleh goodia
FvgCalculations█ OVERVIEW This library provides the core calculation engine for identifying Fair Value Gaps (FVGs) across different timeframes and for processing their interaction with price. It includes functions to detect FVGs on both the current chart and higher timeframes, as well as to check for their full or partial mitigation. █ CONCEPTS The library's primary functions revolve around the concept of Fair Value Gaps and their lifecycle. Fair Value Gap (FVG) Identification An FVG, or imbalance, represents a price range where buying or selling pressure was significant enough to cause a rapid price movement, leaving an "inefficiency" in the market. This library identifies FVGs based on three-bar patterns: Bullish FVG: Forms when the low of the current bar (bar 3) is higher than the high of the bar two periods prior (bar 1). The FVG is the space between the high of bar 1 and the low of bar 3. Bearish FVG: Forms when the high of the current bar (bar 3) is lower than the low of the bar two periods prior (bar 1). The FVG is the space between the low of bar 1 and the high of bar 3. The library provides distinct functions for detecting FVGs on the current (Low Timeframe - LTF) and specified higher timeframes (Medium Timeframe - MTF / High Timeframe - HTF). FVG Mitigation Mitigation refers to price revisiting an FVG. Full Mitigation: An FVG is considered fully mitigated when price completely closes the gap. For a bullish FVG, this occurs if the current low price moves below or touches the FVG's bottom. For a bearish FVG, it occurs if the current high price moves above or touches the FVG's top. Partial Mitigation (Entry/Fill): An FVG is partially mitigated when price enters the FVG's range but does not fully close it. The library tracks the extent of this fill. For a bullish FVG, if the current low price enters the FVG from above, that low becomes the new effective top of the remaining FVG. For a bearish FVG, if the current high price enters the FVG from below, that high becomes the new effective bottom of the remaining FVG. FVG Interaction This refers to any instance where the current bar's price range (high to low) touches or crosses into the currently unfilled portion of an active (visible and not fully mitigated) FVG. Multi-Timeframe Data Acquisition To detect FVGs on higher timeframes, specific historical bar data (high, low, and time of bars at indices and relative to the higher timeframe's last completed bar) is required. The requestMultiTFBarData function is designed to fetch this data efficiently. █ CALCULATIONS AND USE The functions in this library are typically used in a sequence to manage FVGs: 1. Data Retrieval (for MTF/HTF FVGs): Call requestMultiTFBarData() with the desired higher timeframe string (e.g., "60", "D"). This returns a tuple of htfHigh1, htfLow1, htfTime1, htfHigh3, htfLow3, htfTime3. 2. FVG Detection: For LTF FVGs: Call detectFvg() on each confirmed bar. It uses high , low, low , and high along with barstate.isconfirmed. For MTF/HTF FVGs: Call detectMultiTFFvg() using the data obtained from requestMultiTFBarData(). Both detection functions return an fvgObject (defined in FvgTypes) if an FVG is found, otherwise na. They also can classify FVGs as "Large Volume" (LV) if classifyLV is true and the FVG size (top - bottom) relative to the tfAtr (Average True Range of the respective timeframe) meets the lvAtrMultiplier. 3. FVG State Updates (on each new bar for existing FVGs): First, check for overall price interaction using fvgInteractionCheck(). This function determines if the current bar's high/low has touched or entered the FVG's currentTop or currentBottom. If interaction occurs and the FVG is not already mitigated: Call checkMitigation() to determine if the FVG has been fully mitigated by the current bar's currentHigh and currentLow. If true, the FVG's isMitigated status is updated. If not fully mitigated, call checkPartialMitigation() to see if the price has further entered the FVG. This function returns the newLevel to which the FVG has been filled (e.g., currentLow for a bullish FVG, currentHigh for bearish). This newLevel is then used to update the FVG's currentTop or currentBottom. The calling script (e.g., fvgMain.c) is responsible for storing and managing the array of fvgObject instances and passing them to these update functions. █ NOTES Bar State for LTF Detection: The detectFvg() function relies on barstate.isconfirmed to ensure FVG detection is based on closed bars, preventing FVGs from being detected prematurely on the currently forming bar. Higher Timeframe Data (lookahead): The requestMultiTFBarData() function uses lookahead = barmerge.lookahead_on. This means it can access historical data from the higher timeframe that corresponds to the current bar on the chart, even if the higher timeframe bar has not officially closed. This is standard for multi-timeframe analysis aiming to plot historical HTF data accurately on a lower timeframe chart. Parameter Typing: Functions like detectMultiTFFvg and detectFvg infer the type for boolean (classifyLV) and numeric (lvAtrMultiplier) parameters passed from the main script, while explicitly typed series parameters (like htfHigh1, currentAtr) expect series data. fvgObject Dependency: The FVG detection functions return fvgObject instances, and fvgInteractionCheck takes an fvgObject as a parameter. This UDT is defined in the FvgTypes library, making it a dependency for using FvgCalculations. ATR for LV Classification: The tfAtr (for MTF/HTF) and currentAtr (for LTF) parameters are expected to be the Average True Range values for the respective timeframes. These are used, if classifyLV is enabled, to determine if an FVG's size qualifies it as a "Large Volume" FVG based on the lvAtrMultiplier. MTF/HTF FVG Appearance Timing: When displaying FVGs from a higher timeframe (MTF/HTF) on a lower timeframe (LTF) chart, users might observe that the most recent MTF/HTF FVG appears one LTF bar later compared to its appearance on a native MTF/HTF chart. This is an expected behavior due to the detection mechanism in `detectMultiTFFvg`. This function uses historical bar data from the MTF/HTF (specifically, data equivalent to `HTF_bar ` and `HTF_bar `) to identify an FVG. Therefore, all three bars forming the FVG on the MTF/HTF must be fully closed and have shifted into these historical index positions relative to the `request.security` call from the LTF chart before the FVG can be detected and displayed on the LTF. This ensures that the MTF/HTF FVG is identified based on confirmed, closed bars from the higher timeframe. █ EXPORTED FUNCTIONS requestMultiTFBarData(timeframe)   Requests historical bar data for specific previous bars from a specified higher timeframe.   It fetches H , L , T (for the bar before last) and H , L , T (for the bar three periods prior) from the requested timeframe.   This is typically used to identify FVG patterns on MTF/HTF.   Parameters:      timeframe (simple string) : The higher timeframe to request data from (e.g., "60" for 1-hour, "D" for Daily).   Returns: A tuple containing: .   - htfHigh1 (series float): High of the bar at index 1 (one bar before the last completed bar on timeframe).   - htfLow1 (series float): Low of the bar at index 1.   - htfTime1 (series int) : Time of the bar at index 1.   - htfHigh3 (series float): High of the bar at index 3 (three bars before the last completed bar on timeframe).   - htfLow3 (series float): Low of the bar at index 3.   - htfTime3 (series int) : Time of the bar at index 3. detectMultiTFFvg(htfHigh1, htfLow1, htfTime1, htfHigh3, htfLow3, htfTime3, tfAtr, classifyLV, lvAtrMultiplier, tfType)   Detects a Fair Value Gap (FVG) on a higher timeframe (MTF/HTF) using pre-fetched bar data.   Parameters:      htfHigh1 (float) : High of the first relevant bar (typically high ) from the higher timeframe.      htfLow1 (float) : Low of the first relevant bar (typically low ) from the higher timeframe.      htfTime1 (int) : Time of the first relevant bar (typically time ) from the higher timeframe.      htfHigh3 (float) : High of the third relevant bar (typically high ) from the higher timeframe.      htfLow3 (float) : Low of the third relevant bar (typically low ) from the higher timeframe.      htfTime3 (int) : Time of the third relevant bar (typically time ) from the higher timeframe.      tfAtr (float) : ATR value for the higher timeframe, used for Large Volume (LV) FVG classification.      classifyLV (bool) : If true, FVGs will be assessed to see if they qualify as Large Volume.      lvAtrMultiplier (float) : The ATR multiplier used to define if an FVG is Large Volume.      tfType (series tfType enum from no1x/FvgTypes/1) : The timeframe type (e.g., types.tfType.MTF, types.tfType.HTF) of the FVG being detected.   Returns: An fvgObject instance if an FVG is detected, otherwise na. detectFvg(classifyLV, lvAtrMultiplier, currentAtr)   Detects a Fair Value Gap (FVG) on the current (LTF - Low Timeframe) chart.   Parameters:      classifyLV (bool) : If true, FVGs will be assessed to see if they qualify as Large Volume.      lvAtrMultiplier (float) : The ATR multiplier used to define if an FVG is Large Volume.      currentAtr (float) : ATR value for the current timeframe, used for LV FVG classification.   Returns: An fvgObject instance if an FVG is detected, otherwise na. checkMitigation(isBullish, fvgTop, fvgBottom, currentHigh, currentLow)   Checks if an FVG has been fully mitigated by the current bar's price action.   Parameters:      isBullish (bool) : True if the FVG being checked is bullish, false if bearish.      fvgTop (float) : The top price level of the FVG.      fvgBottom (float) : The bottom price level of the FVG.      currentHigh (float) : The high price of the current bar.      currentLow (float) : The low price of the current bar.   Returns: True if the FVG is considered fully mitigated, false otherwise. checkPartialMitigation(isBullish, currentBoxTop, currentBoxBottom, currentHigh, currentLow)   Checks for partial mitigation of an FVG by the current bar's price action.   It determines if the price has entered the FVG and returns the new fill level.   Parameters:      isBullish (bool) : True if the FVG being checked is bullish, false if bearish.      currentBoxTop (float) : The current top of the FVG box (this might have been adjusted by previous partial fills).      currentBoxBottom (float) : The current bottom of the FVG box (similarly, might be adjusted).      currentHigh (float) : The high price of the current bar.      currentLow (float) : The low price of the current bar.   Returns: The new price level to which the FVG has been filled (e.g., currentLow for a bullish FVG).   Returns na if no new partial fill occurred on this bar. fvgInteractionCheck(fvg, highVal, lowVal)   Checks if the current bar's price interacts with the given FVG.   Interaction means the price touches or crosses into the FVG's current (possibly partially filled) range.   Parameters:      fvg (fvgObject type from no1x/FvgTypes/1) : The FVG object to check.     Its isMitigated, isVisible, isBullish, currentTop, and currentBottom fields are used.      highVal (float) : The high price of the current bar.      lowVal (float) : The low price of the current bar.   Returns: True if price interacts with the FVG, false otherwise.
Perpustakaan Pine Script®
oleh no1x
FvgTypes█ OVERVIEW This library serves as a foundational module for Pine Script™ projects focused on Fair Value Gaps (FVGs). Its primary purpose is to define and centralize custom data structures (User-Defined Types - UDTs) and enumerations that are utilized across various components of an FVG analysis system. By providing standardized types for FVG characteristics and drawing configurations, it promotes code consistency, readability, and easier maintenance within a larger FVG indicator or strategy. █ CONCEPTS The library introduces several key data structures (User-Defined Types - UDTs) and an enumeration to organize Fair Value Gap (FVG) related data logically. These types are central to the functioning of FVG analysis tools built upon this library. Timeframe Categorization (`tfType` Enum) To manage and differentiate FVGs based on their timeframe of origin, the `tfType` enumeration is defined. It includes: `LTF`: Low Timeframe (typically the current chart). `MTF`: Medium Timeframe. `HTF`: High Timeframe. This allows for distinct logic and visual settings to be applied depending on the FVG's source timeframe. FVG Data Encapsulation (`fvgObject` UDT) The `fvgObject` is a comprehensive UDT designed to encapsulate all pertinent information and state for an individual Fair Value Gap throughout its lifecycle. Instead of listing every field, its conceptual structure can be understood as holding: Core Definition: The FVG's fundamental price levels (top, bottom) and its formation time (`startTime`). Classification Attributes: Characteristics such as its direction (`isBullish`) and whether it qualifies as a Large Volume FVG (`isLV`), along with its originating timeframe category (`tfType`). Lifecycle State: Current status indicators including full mitigation (`isMitigated`, `mitigationTime`), partial fill levels (`currentTop`, `currentBottom`), midline interaction (`isMidlineTouched`), and overall visibility (`isVisible`). Drawing Identifiers: References (`boxId`, `midLineId`, `mitLineLabelId`, etc.) to the actual graphical objects drawn on the chart to represent the FVG and its components. Optimization Cache: Previous-bar state values (`prevIsMitigated`, `prevCurrentTop`, etc.) crucial for optimizing drawing updates by avoiding redundant operations. This comprehensive structure facilitates easy access to all FVG-related information through a single object, reducing code complexity and improving manageability. Drawing Configuration (`drawSettings` UDT) The `drawSettings` UDT centralizes all user-configurable parameters that dictate the visual appearance of FVGs across different timeframes. It's typically populated from script inputs and conceptually groups settings for: General Behavior: Global FVG classification toggles (e.g., `shouldClassifyLV`) and general display rules (e.g., `shouldHideMitigated`). FVG Type Specific Colors: Colors for standard and Large Volume FVGs, both active and mitigated (e.g., `lvBullColor`, `mitigatedBearBoxColor`). Timeframe-Specific Visuals (LTF, MTF, HTF): Detailed parameters for each timeframe category, covering FVG boxes (visibility, colors, extension, borders, labels), midlines (visibility, style, color), and mitigation lines (visibility, style, color, labels, persistence after mitigation). Contextual Information: The current bar's time (`currentTime`) for accurate positioning of time-dependent drawing elements and timeframe display strings (`tfString`, `mtfTfString`, `htfTfString`). This centralized approach allows for extensive customization of FVG visuals and simplifies the management of drawing parameters within the main script. Such centralization also enhances the maintainability of the visual aspects of the FVG system. █ NOTES User-Defined Types (UDTs): This library extensively uses UDTs (`fvgObject`, `drawSettings`) to group related data. This improves code organization and makes it easier to pass complex data between functions and libraries. Mutability and Reference Behavior of UDTs: When UDT instances are passed to functions or methods in other libraries (like `fvgObjectLib`), those functions might modify the fields of the passed object if they are not explicitly designed to return new instances. This is because UDTs are passed by reference and are mutable in Pine Script™. Users should be aware of this standard behavior to prevent unintended side effects. Optimization Fields: The `prev_*` fields in `fvgObject` are crucial for performance optimization in the drawing logic. They help avoid unnecessary redrawing of FVG elements if their state or relevant settings haven't changed. No Direct Drawing Logic: `FvgTypes` itself does not contain any drawing logic. It solely defines the data structures. The actual drawing and manipulation of these objects are handled by other libraries (e.g., `fvgObjectLib`). Centralized Definitions: By defining these types in a separate library, any changes to the structure of FVG data or settings can be made in one place, ensuring consistency across all dependent scripts and libraries. █ EXPORTED TYPES fvgObject   fvgObject Represents a Fair Value Gap (FVG) object. Fields:      top (series float) : The top price level of the FVG.      bottom (series float) : The bottom price level of the FVG.      startTime (series int) : The start time (timestamp) of the bar where the FVG formed.      isBullish (series bool) : Indicates if the FVG is bullish (true) or bearish (false).      isLV (series bool) : Indicates if the FVG is a Large Volume FVG.      tfType (series tfType) : The timeframe type (LTF, MTF, HTF) to which this FVG belongs.      isMitigated (series bool) : Indicates if the FVG has been fully mitigated.      mitigationTime (series int) : The time (timestamp) when the FVG was mitigated.      isVisible (series bool) : The current visibility status of the FVG, typically managed by drawing logic based on filters.      isMidlineTouched (series bool) : Indicates if the price has touched the FVG's midline (50% level).      currentTop (series float) : The current top level of the FVG after partial fills.      currentBottom (series float) : The current bottom level of the FVG after partial fills.      boxId (series box) : The drawing ID for the main FVG box.      mitigatedBoxId (series box) : The drawing ID for the box representing the partially filled (mitigated) area.      midLineId (series line) : The drawing ID for the FVG's midline.      mitLineId (series line) : The drawing ID for the FVG's mitigation line.      boxLabelId (series label) : The drawing ID for the FVG box label.      mitLineLabelId (series label) : The drawing ID for the mitigation line label.      testedBoxId (series box) : The drawing ID for the box of a fully mitigated (tested) FVG, if kept visible.      keptMitLineId (series line) : The drawing ID for a mitigation line that is kept after full mitigation.      prevIsMitigated (series bool) : Stores the isMitigated state from the previous bar for optimization.      prevCurrentTop (series float) : Stores the currentTop value from the previous bar for optimization.      prevCurrentBottom (series float) : Stores the currentBottom value from the previous bar for optimization.      prevIsVisible (series bool) : Stores the visibility status from the previous bar for optimization (derived from isVisibleNow passed to updateDrawings).      prevIsMidlineTouched (series bool) : Stores the isMidlineTouched status from the previous bar for optimization. drawSettings   drawSettings A structure containing settings for drawing FVGs. Fields:      shouldClassifyLV (series bool) : Whether to classify FVGs as Large Volume (LV) based on ATR.      shouldHideMitigated (series bool) : Whether to hide FVG boxes once they are fully mitigated.      currentTime (series int) : The current bar's time, used for extending drawings.      lvBullColor (series color) : Color for Large Volume Bullish FVGs.      mitigatedLvBullColor (series color) : Color for mitigated Large Volume Bullish FVGs.      lvBearColor (series color) : Color for Large Volume Bearish FVGs.      mitigatedLvBearColor (series color) : Color for mitigated Large Volume Bearish FVGs.      shouldShowBoxes (series bool) : Whether to show FVG boxes for the LTF.      bullBoxColor (series color) : Color for LTF Bullish FVG boxes.      mitigatedBullBoxColor (series color) : Color for mitigated LTF Bullish FVG boxes.      bearBoxColor (series color) : Color for LTF Bearish FVG boxes.      mitigatedBearBoxColor (series color) : Color for mitigated LTF Bearish FVG boxes.      boxLengthBars (series int) : Length of LTF FVG boxes in bars (if not extended).      shouldExtendBoxes (series bool) : Whether to extend LTF FVG boxes to the right.      shouldShowCurrentTfBoxLabels (series bool) : Whether to show labels on LTF FVG boxes.      shouldShowBoxBorder (series bool) : Whether to show a border for LTF FVG boxes.      boxBorderWidth (series int) : Border width for LTF FVG boxes.      boxBorderStyle (series string) : Border style for LTF FVG boxes (e.g., line.style_solid).      boxBorderColor (series color) : Border color for LTF FVG boxes.      shouldShowMidpoint (series bool) : Whether to show the midline (50% level) for LTF FVGs.      midLineWidthInput (series int) : Width of the LTF FVG midline.      midpointLineStyleInput (series string) : Style of the LTF FVG midline.      midpointColorInput (series color) : Color of the LTF FVG midline.      shouldShowMitigationLine (series bool) : Whether to show the mitigation line for LTF FVGs. (Line always extends if shown)      mitLineWidthInput (series int) : Width of the LTF FVG mitigation line.      mitigationLineStyleInput (series string) : Style of the LTF FVG mitigation line.      mitigationLineColorInput (series color) : Color of the LTF FVG mitigation line.      shouldShowCurrentTfMitLineLabels (series bool) : Whether to show labels on LTF FVG mitigation lines.      currentTfMitLineLabelOffsetX (series float) : The horizontal offset value for the LTF mitigation line's label.      shouldKeepMitigatedLines (series bool) : Whether to keep showing mitigation lines of fully mitigated LTF FVGs.      mitigatedMitLineColor (series color) : Color for kept mitigation lines of mitigated LTF FVGs.      tfString (series string) : Display string for the LTF (e.g., "Current TF").      shouldShowMtfBoxes (series bool) : Whether to show FVG boxes for the MTF.      mtfBullBoxColor (series color) : Color for MTF Bullish FVG boxes.      mtfMitigatedBullBoxColor (series color) : Color for mitigated MTF Bullish FVG boxes.      mtfBearBoxColor (series color) : Color for MTF Bearish FVG boxes.      mtfMitigatedBearBoxColor (series color) : Color for mitigated MTF Bearish FVG boxes.      mtfBoxLengthBars (series int) : Length of MTF FVG boxes in bars (if not extended).      shouldExtendMtfBoxes (series bool) : Whether to extend MTF FVG boxes to the right.      shouldShowMtfBoxLabels (series bool) : Whether to show labels on MTF FVG boxes.      shouldShowMtfBoxBorder (series bool) : Whether to show a border for MTF FVG boxes.      mtfBoxBorderWidth (series int) : Border width for MTF FVG boxes.      mtfBoxBorderStyle (series string) : Border style for MTF FVG boxes.      mtfBoxBorderColor (series color) : Border color for MTF FVG boxes.      shouldShowMtfMidpoint (series bool) : Whether to show the midline for MTF FVGs.      mtfMidLineWidthInput (series int) : Width of the MTF FVG midline.      mtfMidpointLineStyleInput (series string) : Style of the MTF FVG midline.      mtfMidpointColorInput (series color) : Color of the MTF FVG midline.      shouldShowMtfMitigationLine (series bool) : Whether to show the mitigation line for MTF FVGs. (Line always extends if shown)      mtfMitLineWidthInput (series int) : Width of the MTF FVG mitigation line.      mtfMitigationLineStyleInput (series string) : Style of the MTF FVG mitigation line.      mtfMitigationLineColorInput (series color) : Color of the MTF FVG mitigation line.      shouldShowMtfMitLineLabels (series bool) : Whether to show labels on MTF FVG mitigation lines.      mtfMitLineLabelOffsetX (series float) : The horizontal offset value for the MTF mitigation line's label.      shouldKeepMtfMitigatedLines (series bool) : Whether to keep showing mitigation lines of fully mitigated MTF FVGs.      mtfMitigatedMitLineColor (series color) : Color for kept mitigation lines of mitigated MTF FVGs.      mtfTfString (series string) : Display string for the MTF (e.g., "MTF").      shouldShowHtfBoxes (series bool) : Whether to show FVG boxes for the HTF.      htfBullBoxColor (series color) : Color for HTF Bullish FVG boxes.      htfMitigatedBullBoxColor (series color) : Color for mitigated HTF Bullish FVG boxes.      htfBearBoxColor (series color) : Color for HTF Bearish FVG boxes.      htfMitigatedBearBoxColor (series color) : Color for mitigated HTF Bearish FVG boxes.      htfBoxLengthBars (series int) : Length of HTF FVG boxes in bars (if not extended).      shouldExtendHtfBoxes (series bool) : Whether to extend HTF FVG boxes to the right.      shouldShowHtfBoxLabels (series bool) : Whether to show labels on HTF FVG boxes.      shouldShowHtfBoxBorder (series bool) : Whether to show a border for HTF FVG boxes.      htfBoxBorderWidth (series int) : Border width for HTF FVG boxes.      htfBoxBorderStyle (series string) : Border style for HTF FVG boxes.      htfBoxBorderColor (series color) : Border color for HTF FVG boxes.      shouldShowHtfMidpoint (series bool) : Whether to show the midline for HTF FVGs.      htfMidLineWidthInput (series int) : Width of the HTF FVG midline.      htfMidpointLineStyleInput (series string) : Style of the HTF FVG midline.      htfMidpointColorInput (series color) : Color of the HTF FVG midline.      shouldShowHtfMitigationLine (series bool) : Whether to show the mitigation line for HTF FVGs. (Line always extends if shown)      htfMitLineWidthInput (series int) : Width of the HTF FVG mitigation line.      htfMitigationLineStyleInput (series string) : Style of the HTF FVG mitigation line.      htfMitigationLineColorInput (series color) : Color of the HTF FVG mitigation line.      shouldShowHtfMitLineLabels (series bool) : Whether to show labels on HTF FVG mitigation lines.      htfMitLineLabelOffsetX (series float) : The horizontal offset value for the HTF mitigation line's label.      shouldKeepHtfMitigatedLines (series bool) : Whether to keep showing mitigation lines of fully mitigated HTF FVGs.      htfMitigatedMitLineColor (series color) : Color for kept mitigation lines of mitigated HTF FVGs.      htfTfString (series string) : Display string for the HTF (e.g., "HTF").
Perpustakaan Pine Script®
oleh no1x
Candle Breakout Oscillator [LuxAlgo]The Candle Breakout Oscillator tool allows traders to identify the strength and weakness of the three main market states: bullish, bearish, and choppy. Know who controls the market at any given moment with an oscillator display with values ranging from 0 to 100 for the three main plots and upper and lower thresholds of 80 and 20 by default. 🔶 USAGE The Candle Breakout Oscillator represents the three main market states, with values ranging from 0 to 100. By default, the upper and lower thresholds are set at 80 and 20, and when a value exceeds these thresholds, a colored area is displayed for the trader's convenience. This tool is based on pure price action breakouts. In this context, we understand a breakout as a close above the last candle's high or low, which is representative of market strength. All other close positions in relation to the last candle's limits are considered weakness. So, when the bullish plot (in green) is at the top of the oscillator (values above 80), it means that the bullish breakouts (close below the last candle low) are at their maximum value over the calculation window, indicating an uptrend. The same interpretation can be made for the bearish plot (in red), indicating a downtrend when high. On the other hand, weakness is indicated when values are below the lower threshold (20), indicating that breakouts are at their minimum over the last 100 candles. Below are some examples of the possible main interpretations: There are three main things to look for in this oscillator: Value reaches extreme Value leaves extreme Bullish/Bearish crossovers As we can see on the chart, before the first crossover happens the bears come out of strength (top) and the bulls come out of weakness (bottom), then after the crossover the bulls reach strength (top) and the bears weakness (bottom), this process is repeated in reverse for the second crossover. The other main feature of the oscillator is its ability to identify periods of sideways trends when the sideways values have upper readings above 80, and trending behavior when the sideways values have lower readings below 20. As we just saw in the case of bullish vs. bearish, sideways values signal a change in behavior when reaching or leaving the extremes of the oscillator. 🔶 DETAILS 🔹 Data Smoothing The tool offers up to 10 different smoothing methods. In the chart above, we can see the raw data (smoothing: None) and the RMA, TEMA, or Hull moving averages. 🔹 Data Weighting Users can add different weighting methods to the data. As we can see in the image above, users can choose between None, Volume, or Price (as in Price Delta for each breakout). 🔶 SETTINGS Window: Execution window, 100 candles by default 🔹 Data Smoothing Method: Choose between none or ten moving averages Smoothing Length: Length for the moving average Weighting Method: Choose between None, Volume, or Price 🔹 Thresholds Top: 80 by default Bottom: 20 by default
Penunjuk Pine Script®
oleh LuxAlgo
6
Zero Lag Multi Timeframe MACDCommon parts of the Multi Time Frame MACD Why This MACD is Special Traditional MACD (Moving Average Convergence Divergence) is a powerful trend-following indicator, but it has a key limitation: it only reflects price action on a single timeframe. Traders who rely on top-down analysis—analyzing higher timeframes first before moving to lower ones—often face a frustrating delay. The Problem with Traditional Multi-Timeframe MACD with top down analysis: If you’re on a 5-minute chart and want to see the 1-hour MACD, you must wait for 12 candles (1 hour) to close before the MACD updates. This lag means you miss real-time signals and react too late to trend changes. The Zero Lag Multi-Timeframe MACD solves this by using a custom time-adjusted formula (developed by CoffeeShopCrypto) that projects higher timeframe MACD values onto lower timeframe charts in real time. How Traders Normally Use MACD Single-Timeframe MACD (Traditional Approach) Used for trend identification (bullish/bearish). Crossovers (MACD line crossing signal line) signal potential entries. Divergences (price vs. MACD direction) warn of trend exhaustion. Top-Down Analysis with Standard MACD (Manual Switching) 1. Check higher timeframe (e.g., 1-hour) for trend direction. 2. Switch to lower timeframe (e.g., 5-minute) for entries. Problem: You must constantly switch charts and wait for higher timeframe candles to close. This MACD Eliminates the Need for Switching Higher timeframe MACD is plotted in real time on your lower timeframe chart. No waiting for candle closes—instant trend confirmation. Single-chart top-down analysis without switching timeframes. How to Use This MACD for Trading Since the MACD is an averaging indicator, it works best when trading with the trend. This version enhances that by showing two trends at once: Lower Timeframe (LTF) MACD – Your current chart’s trend. Higher Timeframe (HTF) MACD – The dominant trend. Key Trading Rules 1. Strong Uptrend Setup (Best for Long Entries) HTF MACD line is rising & above zero (strong bullish momentum). LTF MACD line is also rising (confirms alignment). Entry: Look for LTF MACD to cross above signal line. Long Entry Confirmation: When both the High Timeframe and Low Timeframe MACD Lines are moving in the same direction, this is a confirmation that both the HTF is matching the direction of the LTF. In this example both MACD Lines are moving long so we are only looking to take long entries at this point forward. Short Entry Confirmation: When both the High Timeframe and Low Timeframe MACD Lines are moving in the same direction, this is a confirmation that both the HTF is matching the direction of the LTF. In this example both MACD Lines are moving short so we are only looking to take long entries at this point forward. 2. Potential Reversal or Weak Uptrend Trend Divergence Confirmation This example shows you a confirmation of divergence between the trends. Its best to watch for a continuation of the previous major trend. In this example, we just came off a downtrend with a GAP DOWN. How to see it: (Trend Divergence) Two things will help you confirm this divergence 1.Notice the LTF and HTF MACD are moving away from each other. 2. Both the HTF and LTF Histogram are shrinking. This is an expression of lack of trend. What to do: High Timeframe Trends are always the lead so wait for the Low Timeframe to catch up to the High Timeframe trend. Limitations: The Exponential Moving Average calculation can only be applied to the Low Timeframe MACD because of the way its weighted against more recent price action and closing values. This same EMA calculation can not be applied to the High Timeframe MACD as its being recalculated and the result means you can not weigh values against its current plot point. Low Timeframe MACD can use EMA / SMA High Timeframe MACD can only use SMA
Penunjuk Pine Script®
oleh CoffeeshopCrypto
26
BBands Channels with EMAs# **BBands Channels with EMAs Indicator Explanation** --- ## **📌 Feature Overview** ### **1. Bollinger Bands** - **Basis Line**: 160-period SMA (adjustable) - **Inner Bands**: - **Upper**: Basis + 2× Standard Deviation - **Lower**: Basis - 2× Standard Deviation - **Outer Bands**: - **Upper Top**: Basis + 3× Standard Deviation - **Lower Low**: Basis - 3× Standard Deviation - **Fill Effect**: Semi-transparent black fill between inner and outer bands ### **2. Exponential Moving Averages (EMAs)** | Period | Purpose | Line Style | |--------------|-----------------------------|------------------| | **EMA 27** | Short-term trend | Thin line | | **EMA 120** | Short-to-medium-term trend | Medium line | | **EMA 200** | Medium-term trend | Medium line | | **EMA 1120** | Ultra-long-term trend | Thick line | --- ## **⚙️ Parameter Settings** ### **Bollinger Bands** | Parameter | Default | Description | |---------------|---------|--------------------------------------| | `length` | 160 | SMA calculation period | | `mult` | 2.0 | Standard deviation multiplier (inner bands) | | `multOuter` | 3.0 | Standard deviation multiplier (outer bands) | | `offset` | 0 | Time offset for plots (±500 bars) | ### **Exponential Moving Averages (EMAs)** | Parameter | Default | Description | |-----------------|---------|---------------------------| | `ema1Length` | 27 | EMA 1 period | | `ema2Length` | 120 | EMA 2 period | | `ema3Length` | 200 | EMA 3 period | | `ema4Length` | 1120 | EMA 4 period | --- ## **📊 Use Cases** ### **1. Trend Confirmation** - **Bullish Trend**: Price above EMA200 + Bollinger Band expansion - **Bearish Trend**: Price below EMA200 + Bollinger Band expansion ### **2. Overbought/Oversold Signals** - **Upper Band Touch**: Price reaches Upper Top → Potential overbought - **Lower Band Touch**: Price reaches Lower Low → Potential oversold ### **3. Volatility Strategies** - **Band Squeeze**: Narrowing gap between bands → Breakout warning - **Band Expansion**: Price breaks outer band → Trend acceleration --- **✅ Summary** This indicator combines **Bollinger Bands + Multi-period EMAs** for: - Trend tracking - Volatility analysis - Multi-timeframe strategies --- # **BBands Channels with EMAs 指標說明** --- ## **📌 功能概述** ### **1. 布林通道 (Bollinger Bands)** - **基礎線 (Basis Line)**: 160週期SMA（可調整） - **內通道 (Inner Bands)**: - 上軌 (Upper): 基礎線 + 2倍標準差 - 下軌 (Lower): 基礎線 - 2倍標準差 - **外通道 (Outer Bands)**: - 上外軌 (Upper Top): 基礎線 + 3倍標準差 - 下外軌 (Lower Low): 基礎線 - 3倍標準差 - **填充效果**: 內外通道間半透明黑色填充 ### **2. 指數移動平均線 (EMAs)** | 週期 | 用途 | 線條樣式 | |-------------|-------------------|-----------------| | **EMA 27** | 短期趨勢 | 細線 | | **EMA 120** | 中短期趨勢 | 中等線 | | **EMA 200** | 中期趨勢 | 中等線 | | **EMA 1120**| 超長期趨勢 | 粗線 | --- ## **⚙️ 參數設定** ### **布林通道 (Bollinger Bands)** | 參數名 | 預設值 | 說明 | |-------------|--------|---------------------------| | `length` | 160 | SMA計算週期 | | `mult` | 2.0 | 內通道標準差倍數 | | `multOuter` | 3.0 | 外通道標準差倍數 | | `offset` | 0 | 線圖時間偏移（±500根K棒） | ### **指數移動平均線 (EMAs)** | 參數名 | 預設值 | 說明 | |----------------|---------|-------------------| | `ema1Length` | 27 | 第一條EMA週期 | | `ema2Length` | 120 | 第二條EMA週期 | | `ema3Length` | 200 | 第三條EMA週期 | | `ema4Length` | 1120 | 第四條EMA週期 | --- ## **📊 應用場景** ### **1. 趨勢確認** - **多頭趨勢**: 價格在EMA200上方 + 布林通道擴張 - **空頭趨勢**: 價格在EMA200下方 + 布林通道擴張 ### **2. 超買超賣信號** - **觸及外軌**: 價格觸碰Upper Top → 可能超買 - **觸及下軌**: 價格觸碰Lower Low → 可能超賣 ### **3. 波動率策略** - **通道收窄**: 內外通道間距縮小 → 突破預警 - **通道擴張**: 價格突破外軌 → 趨勢加速 --- **✅ 總結** 本指標透過**布林通道+多週期EMA**的組合，適用於： - 趨勢跟蹤 - 波動率分析 - 多時間框架策略
Penunjuk Pine Script®
oleh brotherjay
1
MyBoxMyBox - Display Text with Customizable Position and Size This indicator allows you to display a customizable message on your chart, with adjustable font size, position, and background color. You can input your desired message, choose the font size (small, normal, large, huge), and place it in various positions on the chart (top-left, top-center, top-right, etc.). Additionally, you can customize the background color of the box where the text is displayed. Features: Display a custom message on your chart (e.g., "FOMO Incoming!!"). Adjustable font size (small, normal, large, huge). Choose from multiple position options for text placement (e.g., top-left, middle-center, bottom-right). Customize the box background color for better visibility. Perfect for displaying personal notes, reminders, or trading signals while analyzing the market!
Penunjuk Pine Script®
oleh sanbangaje
CyberCandle SwiftEdgeCyberCandle SwiftEdge Overview CyberCandle SwiftEdge is a cutting-edge, AI-inspired trading indicator designed for traders seeking precision and clarity in trend-following and swing trading. Powered by SwiftEdge, it combines Heikin Ashi candles, a gradient-colored Exponential Moving Average (EMA), and a Relative Strength Index (RSI) to deliver clear buy and sell signals. Featuring glowing visuals, dynamic signal icons, and a customizable RSI dashboard in the top-right corner, this script offers a futuristic interface for identifying high-probability trade setups on various timeframes (e.g., 1H, 4H). What It Does CyberCandle SwiftEdge integrates three powerful components to generate actionable trading signals: Heikin Ashi Candles: Smooths price action to highlight trends, reducing market noise and making reversals easier to spot. Gradient EMA: A 100-period EMA with dynamic color transitions (blue/cyan for uptrends, red/pink for downtrends) to confirm market direction. RSI Dashboard: A neon-lit display showing RSI levels, indicating overbought (>70), oversold (<30), or neutral (30-70) conditions. Buy and sell signals are marked with prominent, glowing icons (triangles and arrows) based on trend direction, momentum, and specific Heikin Ashi patterns. The script’s customizable parameters allow traders to tailor the strategy to their preferences, balancing signal frequency and precision. How It Works The strategy leverages the synergy of Heikin Ashi, EMA, and RSI to filter trades and highlight opportunities: Trend Direction: The price must be above the EMA for buy signals (bullish trend) or below for sell signals (bearish trend). The EMA’s gradient color shifts based on its slope, visually reinforcing trend strength. Momentum Confirmation: RSI must exceed a user-defined threshold (default: 50) for buy signals or fall below it for sell signals, ensuring momentum supports the trade. Candle Patterns: Buy signals require a green Heikin Ashi candle (close > open), with the two prior candles having minimal upper wicks (≤5% of candle body) and being red (indicating a retracement). Sell signals require a red candle, minimal lower wicks, and two prior green candles. RSI Dashboard: Positioned in the top-right corner, it features a glowing circle (red for overbought, green for oversold, blue for neutral), the current RSI value, and a status indicator (triangle for extremes, square for neutral). This provides instant momentum insights without cluttering the chart. By combining Heikin Ashi’s trend clarity, EMA’s directional filter, and RSI’s momentum validation, CyberCandle SwiftEdge minimizes false signals and highlights trades with strong potential. Its vibrant, AI-like visuals make it easy to interpret at a glance. How to Use It Add to Chart: In TradingView, search for "CyberCandle SwiftEdge" and add it to your chart. Set the chart to Heikin Ashi candles for optimal compatibility. Interpret Signals: Buy Signal: Large green triangles and arrows appear below candles when the price is above the EMA, RSI is above the buy threshold (default: 50), and conditions for a bullish retracement are met. Consider entering a long position with a 1:2 risk/reward ratio. Sell Signal: Large red triangles and arrows appear above candles when the price is below the EMA, RSI is below the sell threshold (default: 50), and conditions for a bearish retracement are met. Consider entering a short position. RSI Dashboard: Monitor the top-right dashboard. A red circle (RSI > 70) suggests caution for buys, a green circle (RSI < 30) indicates potential buying opportunities, and a blue circle (RSI 30-70) signals neutrality. Customize Parameters: Open the indicator’s settings to adjust: EMA Length (default: 100): Increase (e.g., 200) for longer-term trends or decrease (e.g., 50) for shorter-term sensitivity. RSI Length (default: 14): Adjust for more (e.g., 7) or less (e.g., 21) responsive momentum signals. RSI Buy/Sell Thresholds (default: 50): Set higher (e.g., 55) for buys or lower (e.g., 45) for sells to require stronger momentum. Wick Tolerance (default: 0.05): Increase (e.g., 0.1) to allow larger wicks, generating more signals, or decrease (e.g., 0.02) for stricter conditions. Require Retracement (default: true): Disable to remove the two-candle retracement requirement, increasing signal frequency. Trading: Use signals in conjunction with the RSI dashboard and market context. For example, avoid buy signals if the RSI dashboard is red (overbought). Always apply proper risk management, such as setting stop-losses based on recent lows/highs. What Makes It Original CyberCandle SwiftEdge stands out due to its futuristic, AI-inspired visual design and user-friendly customization: Neon Aesthetics: Glowing Heikin Ashi candles, gradient EMA, and dynamic signal icons (triangles and arrows) with RSI-driven transparency create a high-tech, immersive experience. RSI Dashboard: A compact, top-right display with a neon circle, RSI value, and adaptive status indicator (triangle/square) provides instant momentum insights without cluttering the chart. Customizability: Users can fine-tune EMA length, RSI parameters, wick tolerance, and retracement requirements via TradingView’s settings, balancing signal frequency and precision. Integrated Approach: The synergy of Heikin Ashi’s trend clarity, EMA’s directional strength, and RSI’s momentum validation offers a cohesive strategy that reduces false signals. Why This Combination? The script combines Heikin Ashi, EMA, and RSI for a complementary effect: Heikin Ashi smooths price fluctuations, making it ideal for identifying sustained trends and retracements, which are critical for the strategy’s signal logic. EMA provides a reliable trend filter, ensuring signals align with the broader market direction. Its gradient color enhances visual trend recognition. RSI adds momentum context, confirming that signals occur during favorable conditions (e.g., RSI > 50 for buys). The dashboard makes RSI intuitive, even for non-technical users. Together, these components create a balanced system that captures trend reversals after retracements, validated by momentum, with a visually engaging interface that simplifies decision-making. Tips Best used on volatile assets (e.g., BTC/USD, EUR/USD) and higher timeframes (1H, 4H) for clearer trends. Experiment with parameters in the settings to match your trading style (e.g., increase wick tolerance for more signals). Combine with other analysis (e.g., support/resistance) for higher-confidence trades. Note This indicator is for informational purposes and does not guarantee profits. Always backtest and use proper risk management before trading.
Penunjuk Pine Script®
oleh SwiftEdge
FA_PA_LIBLibrary "FA_PA_LIB" A collection of custom tools & utility functions commonly used for coding Dr Al Brooks, Price Action System with my scripts getBodySize()   Gets the current candle's body size (in POINTS, divide by 10 to get pips)   Returns: The current candle's body size in POINTS getTopWickSize()   Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)   Returns: The current candle's top wick size in POINTS getTopWickPercent()   Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)   Returns: Percent of total candle width that is occupied by the upper wick getBottomWickSize()   Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)   Returns: The current candle's bottom wick size in POINTS getBottomWickPercent()   Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)   Returns: Percent of total candle width that is occupied by the lower wick getBarMidPoint()   Gets the current candle's midpoint wick to wick   Returns: The current candle's mid point getBodyPercent()   Gets the current candle's body size as a percentage of its entire size including its wicks   Returns: The current candle's body size percentage (00.00) bullFib(priceLow, priceHigh, fibRatio)   Calculates a bullish fibonacci value   Parameters:      priceLow (float) : The lowest price point      priceHigh (float) : The highest price point      fibRatio (float) : The fibonacci % ratio to calculate   Returns: The fibonacci value of the given ratio between the two price points bearFib(priceLow, priceHigh, fibRatio)   Calculates a bearish fibonacci value   Parameters:      priceLow (float) : The lowest price point      priceHigh (float) : The highest price point      fibRatio (float) : The fibonacci % ratio to calculate   Returns: The fibonacci value of the given ratio between the two price points isBr()   Checks if the current bar is a Bear Bar   Returns: A boolean - true if the current bar is bear candle isBl()   Checks if the current bar is a Bull Bar   Returns: A boolean - true if the current bar is Bull candle isTrendBar()   Checks if the current bar is a Trend Bar. Candle that its body size is greater than 50% of entire candle size   Returns: A boolean - true if the current bar is Trend candle isBlTrendBar()   Checks if the current bar is a Bull Trend Bar. Bullish candle that its body size is greater than 50% of entire candle size   Returns: A boolean - true if the current bar is Bull Trend candle isBrTrendBar()   Checks if the current bar is a Bull Trend Bar. Bullish candle that its body size is greater than 50% of entire candle size   Returns: A boolean - true if the current bar is Bull Trend candle isBlRevB()   Checks if the current bar is a Bull Reversal Bar. Bullish candle that closes on upper half of candle body   Returns: A boolean - true if the current bar is Bull Reversal candle isBrRevB()   Checks if the current bar is a Bear Reversal Bar. BulBearish candle that closes on lower half of candle body   Returns: A boolean - true if the current bar is Bear Reversal candle isDoji(wickSize, bodySize)   Checks if the current bar is a doji candle based on the given parameters   Parameters:      wickSize (float) : (default=2) The maximum top wick size compared to the bottom (and vice versa)      bodySize (float) : (default=0.05) The maximum body size as a percentage compared to the entire candle size   Returns: A boolean - true if the current bar matches the requirements of a doji candle isHammer(fib, colorMatch)   Checks if the current bar is a hammer candle based on the given parameters   Parameters:      fib (float) : (default=0.382) The fib to base candle body on      colorMatch (bool) : (default=true) Does the candle need to be green? (true/false)   Returns: A boolean - true if the current bar matches the requirements of a hammer candle isStar(fib, colorMatch)   Checks if the current bar is a shooting star candle based on the given parameters   Parameters:      fib (float) : (default=0.382) The fib to base candle body on      colorMatch (bool) : (default=false) Does the candle need to be red? (true/false)   Returns: A boolean - true if the current bar matches the requirements of a shooting star candle isBlOB()   Detects Bullish outside bars(OB)   Returns: Returns true if the current bar is a bull outside bar isBrOB()   Detects Bearish outside bars(OB)   Returns: Returns true if the current bar is a bear outside bar
Perpustakaan Pine Script®
oleh Alireza_PH
Psych Level ScreenerThis Script is intended for Pine Screener and is not designed as a indicator!!! Pine Screener is something TradingView has recently added and is still only a Beta version. Pine Screener itself is currently only available to members that are Premium and above. What it does: This screener will actively look for tickers that are close to Pysch level in your watchlist. Psych level here refers to price levels that are round numbers such as 50,100,1000. Users can specify the offset from a psych level (in %) and scanner will scan for tickers that are within the offset. For example if offset is set at 5% then it will scan for tickers that are within +/-5% of a ticker. (for $100 psych level it will scan for ticker in $95-105 range) Once scan is completed you will be able to see: - Current price of ticker - Closest psych level for that ticker - % and $ move required for it to hit that psych level - Ticker's day range and Average range (with % of average range completed for the day) - Ticker volume and average volume Setting up: www.tradingview.com Above link will help you guide how to setup Pine screener. Use steps below to guide you the setup for this specific screener: 1. Open Pine Screener (open new tab, select screener the "Pine") 2. At the top, click on "Choose Indicator" and select "Psych Level Screener" 3. At the top again, click "Indicator Psych Level Screener" and select settings. 4. Change setting to your needs. Hit Apply when done. a)"% offset from Psych Level" will scan for any stocks in your watchlist which are +/- from the offset you chose for any given psych level. Default is 5. (e.g. If offset is 5%, it will scan for stocks that are between $95-$105 vs $100 psych level, $190-$210 for $200 psych level and so on) b) ATR length is number of previous trading days you want to include in your calculation. Moving Average Type is calculation method. c) Rvol length is number of previous trading days you want to include in your calculation. 5. On top left, click "Price within specified offset of Psych. Level" and select true. Then select "Scan" which is located at the top next to "Indicator Psych Level Screener". This will filter out all the stock that meets the condition. 6. At the end of the column on the right there is a "+" symbol. From there you can add/remove columns. 30min/1hr/4hr/1D Trend are disabled by default so if this is needed please enable them. 7. You can change the order of ticker by ascending and descending order of each column label if needed. Just click on the arrow that comes up when you move the cursor to any of the column items. 8. You can specify advanced filter settings based on the variables in the column. (e.g., set price range of stock to filter out further) To do so, click on the column variable name in interest, located above the screener table (or right below "scan") and select "manual setup". How to read the column: Current Price: Shows current price of the ticker when scan was done. Currently Pine Screener does NOT support pre/post-hours data so no PM and AH price. Psych Level: Psych level the current price is near to. % to Psych Level: Price movement in % necessary to get to the Psych level. $ to Psych Level: Price movement in $ necessary to get to the Psych level. DTR: Daily True Range of the stock. i.e. High - Low of the ticker on the day. ATR: Average True Range of stock in the last x days, where x is a value selected in the setting. (See step 3 in Previous section) DTR vs ATR: Amount of DTR a ticker has done in % with respect to ATR. (e.g., 90% means DTR is 90% of ATR) Vol.: Volume of a ticker for the day. Currently Pine Screener does NOT support pre/post-hours data so no PM and AH volume. Avg. Vol: Average volume of a ticker in the last x days, where x is a value selected in the setting. (See step 3 in Previous section) Rvol: Relative volume in percentage, measured by the ratio of day's volume and average volume. 30min/1hr/4hr/1D Trend: Trend status to see if the chart is Bullish or Bearish on each of the time frame. Bullishness or Bearishness is defined by the price being over or under the 34/50 cloud on each of the time frame. Output of 1 is Bullish, -1 is Bearish. 0 means price is sitting inside the 34/50 cloud. Currently Pine Screener does NOT support pre/post-hours data so 34/50 cloud is based on regular trading hours data ONLY. Some things user should be aware of: - Pine Screener itself is currently only available to TradingView members with Premium Subscription and above. (I can't to anything about this as this is NOT set by me, I have no control) For more info: www.tradingview.com - The Pine Screener itself is a Beta version and this screener can stop working anytime depending on changes made by TradingView themselves. (Again I cannot control this) - Pine Screener can only run on Watchlists for now. (as of 03/31/2025) You will have to prepare your own watchlists. In a Watchlist no more than 1000 tickers may be added. (This is TradingView rules) - Psych level included are currently 50 to 1500 in steps of 50. If you need a specific number please let me know. Will add accordingly. - Unfortunately this screener does not update automatically, so please hit "scan" to get latest screener result. - I cannot add 10min trend to the column as Pine Screener does NOT support 10min timeframe as of now. (03/31/2025) - This code is only meant for Pine Screener. I do NOT recommend using this as an indicator. - Currently Pine Screener does NOT support pre/post-hours data. So data such as Price, Volume and EMA values are based on market hours data ONLY! (If I'm wrong about this please correct me / let me know and will make look into and make changes to the code) Other useful links about Pine Screener: Quick overview of the Screener’s functionality: www.tradingview.com what do you need to know before you start working? : www.tradingview.com These links will go over the setting up with GIFs so is easier to understand. ----------------------------------------------------------------------------------------------------------------- If there are other column variables that you think is worth adding please let me know! Will try add it to the screener! If you have any questions let me know as well, will reply soon as I can! Have a good trading day and hope it helps!
Penunjuk Pine Script®
oleh Mereep01
LinearRegressionLibrary "LinearRegression" Calculates a variety of linear regression and deviation types, with optional emphasis weighting. Additionally, multiple of slope and Pearson’s R calculations. calcSlope(_src, _len, _condition)   Calculates the slope of a linear regression over the specified length.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The length of the lookback period for the linear regression.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast for efficiency.   Returns: (float) The slope of the linear regression. calcReg(_src, _len, _condition)   Calculates a basic linear regression, returning y1, y2, slope, and average.   Parameters:      _src (float) : (float) The source data series.      _len (int) : (int) The length of the lookback period.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: (float ) An array of 4 values: . calcRegStandard(_src, _len, _emphasis, _condition)   Calculates an Standard linear regression with optional emphasis.   Parameters:      _src (float) : (series float) The source data series.      _len (int) : (int) The length of the lookback period.      _emphasis (float) : (float) The emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: (float ) . calcRegRidge(_src, _len, lambda, _emphasis, _condition)   Calculates a ridge regression with optional emphasis.   Parameters:      _src (float) : (float) The source data series.      _len (int) : (int) The length of the lookback period.      lambda (float) : (float) The ridge regularization parameter.      _emphasis (float) : (float) The emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: (float ) . calcRegLasso(_src, _len, lambda, _emphasis, _condition)   Calculates a Lasso regression with optional emphasis.   Parameters:      _src (float) : (float) The source data series.      _len (int) : (int) The length of the lookback period.      lambda (float) : (float) The Lasso regularization parameter.      _emphasis (float) : (float) The emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: (float ) . calcElasticNetLinReg(_src, _len, lambda1, lambda2, _emphasis, _condition)   Calculates an Elastic Net regression with optional emphasis.   Parameters:      _src (float) : (float) The source data series.      _len (int) : (int) The length of the lookback period.      lambda1 (float) : (float) L1 regularization parameter (Lasso).      lambda2 (float) : (float) L2 regularization parameter (Ridge).      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: (float ) . calcRegHuber(_src, _len, delta, iterations, _emphasis, _condition)   Calculates a Huber regression using Iteratively Reweighted Least Squares (IRLS).   Parameters:      _src (float) : (float) The source data series.      _len (int) : (int) The length of the lookback period.      delta (float) : (float) Huber threshold parameter.      iterations (int) : (int) Number of IRLS iterations.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: (float ) . calcRegLAD(_src, _len, iterations, _emphasis, _condition)   Calculates a Least Absolute Deviations (LAD) regression via IRLS.   Parameters:      _src (float) : (float) The source data series.      _len (int) : (int) The length of the lookback period.      iterations (int) : (int) Number of IRLS iterations for LAD.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: (float ) . calcRegBayesian(_src, _len, priorMean, priorSpan, sigma, _emphasis, _condition)   Calculates a Bayesian linear regression with optional emphasis.   Parameters:      _src (float) : (float) The source data series.      _len (int) : (int) The length of the lookback period.      priorMean (float) : (float) The prior mean for the slope.      priorSpan (float) : (float) The prior variance (or span) for the slope.      sigma (float) : (float) The assumed standard deviation of residuals.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: (float ) . calcRFromLinReg(_src, _len, _slope, _average, _y1, _condition)   Calculates the Pearson correlation coefficient (R) based on linear regression parameters.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The length of the lookback period.      _slope (float) : (float) The slope of the linear regression.      _average (float) : (float) The average value of the source data series.      _y1 (float) : (float) The starting point (y-intercept of the oldest bar) for the linear regression.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast for efficiency.   Returns: (float) The Pearson correlation coefficient (R) adjusted for the direction of the slope. calcRFromSource(_src, _len, _condition)   Calculates the correlation coefficient (R) using a specified length and source data.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The length of the lookback period.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast for efficiency.   Returns: (float) The correlation coefficient (R). calcSlopeLengthZero(_src, _len, _minLen, _step, _condition)   Identifies the length at which the slope is flattest (closest to zero).   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The maximum lookback length to consider (minimum of 2).      _minLen (int) : (int) The minimum length to start from (cannot exceed the max length).      _step (int) : (int) The increment step for lengths.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast.   Returns: (int) The length at which the slope is flattest. calcSlopeLengthHighest(_src, _len, _minLen, _step, _condition)   Identifies the length at which the slope is highest.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The maximum lookback length (minimum of 2).      _minLen (int) : (int) The minimum length to start from.      _step (int) : (int) The step for incrementing lengths.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast.   Returns: (int) The length at which the slope is highest. calcSlopeLengthLowest(_src, _len, _minLen, _step, _condition)   Identifies the length at which the slope is lowest.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The maximum lookback length (minimum of 2).      _minLen (int) : (int) The minimum length to start from.      _step (int) : (int) The step for incrementing lengths.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast.   Returns: (int) The length at which the slope is lowest. calcSlopeLengthAbsolute(_src, _len, _minLen, _step, _condition)   Identifies the length at which the absolute slope value is highest.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The maximum lookback length (minimum of 2).      _minLen (int) : (int) The minimum length to start from.      _step (int) : (int) The step for incrementing lengths.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast.   Returns: (int) The length at which the absolute slope value is highest. calcRLengthZero(_src, _len, _minLen, _step, _condition)   Identifies the length with the lowest absolute R value.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The maximum lookback length (minimum of 2).      _minLen (int) : (int) The minimum length to start from.      _step (int) : (int) The step for incrementing lengths.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast.   Returns: (int) The length with the lowest absolute R value. calcRLengthHighest(_src, _len, _minLen, _step, _condition)   Identifies the length with the highest R value.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The maximum lookback length (minimum of 2).      _minLen (int) : (int) The minimum length to start from.      _step (int) : (int) The step for incrementing lengths.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast.   Returns: (int) The length with the highest R value. calcRLengthLowest(_src, _len, _minLen, _step, _condition)   Identifies the length with the lowest R value.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The maximum lookback length (minimum of 2).      _minLen (int) : (int) The minimum length to start from.      _step (int) : (int) The step for incrementing lengths.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast.   Returns: (int) The length with the lowest R value. calcRLengthAbsolute(_src, _len, _minLen, _step, _condition)   Identifies the length with the highest absolute R value.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The maximum lookback length (minimum of 2).      _minLen (int) : (int) The minimum length to start from.      _step (int) : (int) The step for incrementing lengths.      _condition (bool) : (bool) Flag to enable calculation. Set to true to calculate on every bar; otherwise, set to barstate.islast.   Returns: (int) The length with the highest absolute R value. calcDevReverse(_src, _len, _slope, _y1, _inputDev, _emphasis, _condition)   Calculates the regressive linear deviation in reverse order, with optional emphasis on recent data.   Parameters:      _src (float) : (float) The source data.      _len (int) : (int) The length of the lookback period.      _slope (float) : (float) The slope of the linear regression.      _y1 (float) : (float) The y-intercept (oldest bar) of the linear regression.      _inputDev (float) : (float) The input deviation multiplier.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: A 2-element tuple: . calcDevForward(_src, _len, _slope, _y1, _inputDev, _emphasis, _condition)   Calculates the progressive linear deviation in forward order (oldest to most recent bar), with optional emphasis.   Parameters:      _src (float) : (float) The source data array, where _src is oldest and _src is most recent.      _len (int) : (int) The length of the lookback period.      _slope (float) : (float) The slope of the linear regression.      _y1 (float) : (float) The y-intercept of the linear regression (value at the most recent bar, adjusted by slope).      _inputDev (float) : (float) The input deviation multiplier.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: A 2-element tuple: . calcDevBalanced(_src, _len, _slope, _y1, _inputDev, _emphasis, _condition)   Calculates the balanced linear deviation with optional emphasis on recent or older data.   Parameters:      _src (float) : (float) Source data array, where _src is the most recent and _src is the oldest.      _len (int) : (int) The length of the lookback period.      _slope (float) : (float) The slope of the linear regression.      _y1 (float) : (float) The y-intercept of the linear regression (value at the oldest bar).      _inputDev (float) : (float) The input deviation multiplier.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: A 2-element tuple: . calcDevMean(_src, _len, _slope, _y1, _inputDev, _emphasis, _condition)   Calculates the mean absolute deviation from a forward-applied linear trend (oldest to most recent), with optional emphasis.   Parameters:      _src (float) : (float) The source data array, where _src is the most recent and _src is the oldest.      _len (int) : (int) The length of the lookback period.      _slope (float) : (float) The slope of the linear regression.      _y1 (float) : (float) The y-intercept (oldest bar) of the linear regression.      _inputDev (float) : (float) The input deviation multiplier.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: A 2-element tuple: . calcDevMedian(_src, _len, _slope, _y1, _inputDev, _emphasis, _condition)   Calculates the median absolute deviation with optional emphasis on recent data.   Parameters:      _src (float) : (float) The source data array (index 0 = oldest, index _len - 1 = most recent).      _len (int) : (int) The length of the lookback period.      _slope (float) : (float) The slope of the linear regression.      _y1 (float) : (float) The y-intercept (oldest bar) of the linear regression.      _inputDev (float) : (float) The deviation multiplier.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: calcDevPercent(_y1, _inputDev, _condition)   Calculates the percent deviation from a given value and a specified percentage.   Parameters:      _y1 (float) : (float) The base value from which to calculate deviation.      _inputDev (float) : (float) The deviation percentage.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: A 2-element tuple: . calcDevFitted(_len, _slope, _y1, _emphasis, _condition)   Calculates the weighted fitted deviation based on high and low series data, showing max deviation, with optional emphasis.   Parameters:      _len (int) : (int) The length of the lookback period.      _slope (float) : (float) The slope of the linear regression.      _y1 (float) : (float) The Y-intercept (oldest bar) of the linear regression.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: A 2-element tuple: . calcDevATR(_src, _len, _slope, _y1, _inputDev, _emphasis, _condition)   Calculates an ATR-style deviation with optional emphasis on recent data.   Parameters:      _src (float) : (float) The source data (typically close).      _len (int) : (int) The length of the lookback period.      _slope (float) : (float) The slope of the linear regression.      _y1 (float) : (float) The Y-intercept (oldest bar) of the linear regression.      _inputDev (float) : (float) The input deviation multiplier.      _emphasis (float) : (float) Emphasis factor: 0 for equal weight; >0 emphasizes recent bars; <0 emphasizes older bars.      _condition (bool) : (bool) Flag to enable calculation (true = calculate).   Returns: A 2-element tuple: . calcPricePositionPercent(_top, _bot, _src)   Calculates the percent position of a price within a linear regression channel. Top=100%, Bottom=0%.   Parameters:      _top (float) : (float) The top (positive) deviation, corresponding to 100%.      _bot (float) : (float) The bottom (negative) deviation, corresponding to 0%.      _src (float) : (float) The source price.   Returns: (float) The percent position within the channel. plotLinReg(_len, _y1, _y2, _slope, _devTop, _devBot, _scaleTypeLog, _lineWidth, _extendLines, _channelStyle, _colorFill, _colUpLine, _colDnLine, _colUpFill, _colDnFill)   Plots the linear regression line and its deviations, with configurable styles and fill.   Parameters:      _len (int) : (int) The lookback period for the linear regression.      _y1 (float) : (float) The starting y-value of the regression line.      _y2 (float) : (float) The ending y-value of the regression line.      _slope (float) : (float) The slope of the regression line (used to determine line color).      _devTop (float) : (float) The top deviation to add to the line.      _devBot (float) : (float) The bottom deviation to subtract from the line.      _scaleTypeLog (bool) : (bool) Use a log scale if true; otherwise, linear scale.      _lineWidth (int) : (int) The width of the plotted lines.      _extendLines (string) : (string) How lines should extend (none, left, right, both).      _channelStyle (string) : (string) The style of the channel lines (solid, dashed, dotted).      _colorFill (bool) : (bool) Whether to fill the space between the top and bottom deviation lines.      _colUpLine (color) : (color) Line color when slope is positive.      _colDnLine (color) : (color) Line color when slope is negative.      _colUpFill (color) : (color) Fill color when slope is positive.      _colDnFill (color) : (color) Fill color when slope is negative.
Perpustakaan Pine Script®
oleh TanHef
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