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MarketMonkey-Indicator-Set-1 - GMMA open 🧠 MarketMonkey-Indicator-Set-1 — GMMA Open GMMA (Guppy Multiple Moving Average) Toolkit for Trend Clarity & Timing The MarketMonkey GMMA Open indicators brings a clean, high-performance visual of trend strength and direction using multiple exponential moving averages (EMAs) across short- and long-term time frames. Designed for traders who want to see momentum shifts and market transitions as they happen, this version overlays directly on the price chart for quick and confident reads. 🔍 How It Works * Short-term EMAs (3–15) track trader sentiment and momentum. * Long-term EMAs (30–60) show investor trend commitment. * The indicator dynamically colors the long-term EMAs: * 🔵 Blue : Upward momentum * 🔴 Red : Downward momentum When the short-term group expands above the long-term group, it signals strength and potential continuation. Tightening or compression may warn of pauses or reversals. 💡 Features * 12 adjustable EMA periods (customize your GMMA spacing) * Automatic color shifts for trend clarity * Live price flag for easy reference * Compact ticker/date display in the top-right corner * Minimalist, overlay-based design — no clutter, just clarity 📈 Best Used For * Spotting early trend changes * Confirming continuation or breakout setups * Identifying compression zones before reversals * Overlaying on ASX, S&P, FX, Gold, or Crypto charts 🔔 Part of the MarketMonkey Indicator Set series — tools built for real-world trend recognition and momentum trading.
Penunjuk Pine Script®
oleh Market_Monkey_AU
VIX Overnight Unch or Up AlertThis indicator alerts when VIX opens the day unchanged or higher on the day. If in fact VIX opens up unchanged or higher, it will display near the first bar of the day, previous day's close time and level and the opening time and level. The close time is typically 16:15 New York Time and the opening time is 09:30 or the first print a few minutes later. I use TVC:VIX instead of CBOT because TVC for me is real time. I also use the 1 minute chart and the script is coded as 1 minute.
Penunjuk Pine Script®
oleh mauiturtle
Buy vs Sell Liquidity + Difference (Bottom Right)Script Summary (Short Notes) ⚙️ Purpose Tracks and displays Buy Volume vs Sell Volume difference during the day, based on candle direction. Useful for spotting liquidity imbalance between buyers and sellers. 📊 How It Works Volume Classification If close > open → counts volume as Buy Volume If close < open → counts volume as Sell Volume Aggregation Timeframe You can select a timeframe (1, 2, 3, 5, 15, 30 mins) Script recalculates data from that aggregation level. Daily Reset At the start of a new trading day, totals reset to zero. Cumulative Calculation Adds all buy/sell volumes as the day progresses. Calculates: Total Volume Difference (BUY − SELL) Percentages (%)
Penunjuk Pine Script®
oleh dammucool
Dual Table Dashboard - Correct V3add RSI Data## 📈 Trading Applications ### 1. Trend Following Strategy ``` 1. Check TABLE 1 for trend direction (AnEMA29 + PDMDR) 2. If both green → Look for longs 3. If both red → Look for shorts 4. Use TABLE 2 for entry levels ``` ### 2. Support/Resistance Strategy ``` @70 levels = Resistance (sell/take profit zones) @50 levels = Pivot (breakout levels) @30 levels = Support (buy/accumulation zones) ``` ### 3. Multi-Timeframe Alignment ``` W_RSI → Weekly bias (long-term) D_RSI → Daily bias (medium-term) Sto50 → Current position (swing) Sto12 → Immediate position (day trade) RSI(7) & RSI(3) → Entry timing (scalp) ``` ### 4. Color Scanning Method **Quick visual analysis:** - Count greens vs reds in each row - More greens = Bullish position - More reds = Bearish position - Mixed colors = Transitioning/choppy --- ## ✅ Verification & Accuracy ### Tested Against AmiBroker: - ✅ RSI band values match within ±0.01% - ✅ Stochastic channels match exactly - ✅ Color logic matches exactly - ✅ All formulas verified line-by-line ### Known Minor Differences: Small variations (<1%) may occur due to: 1. **Platform calculation precision** - Different floating-point engines 2. **Historical data feeds** - Slight variations in past prices 3. **Weekly bar boundaries** - TradingView vs AmiBroker week definitions 4. **Initialization period** - First N bars need to "warm up" **These minor differences don't affect trading signals!** --- ## ⚙️ Settings & Customization ### Input Parameters: ```pine emaLen = 29 // EMA Length for angle calculation rangePeriods = 30 // Angle normalization lookback rangeConst = 25 // Angle normalization constant dmiLen = 14 // DMI/ADX Length for PDMDR ``` ### Available Positions: Can be changed in the code: - `position.top_left` - `position.top_center` - `position.top_right` - `position.middle_left` (Table 2 default) - `position.middle_center` - `position.middle_right` - `position.bottom_left` (Table 1 default) - `position.bottom_center` - `position.bottom_right` ### Text Sizes: - `size.tiny` - `size.small` (current default) - `size.normal` - `size.large` - `size.huge` --- ## 🎯 Best Practices ### DO: ✅ Use multiple confirmations before entering trades ✅ Combine with price action and chart patterns ✅ Pay attention to color changes across timeframes ✅ Use @50 levels as key pivot points ✅ Watch for alignment between W_RSI and D_RSI ### DON'T: ❌ Trade based on color alone without confirmation ❌ Ignore the overall trend (Table 1) ❌ Enter trades against strong trend signals ❌ Overtrade when colors are mixed/choppy ❌ Ignore risk management rules --- ## 📊 Example Reading ### Bullish Setup: ``` TABLE 1: AnEMA29: Green (15°) across all 3 bars PDMDR: Green (1.65) and rising TABLE 2: W_RSI@50: Green (price above) D_RSI@50: Green (price above) Sto50@50: Green (price above midpoint) Sto12@50: Green (price above midpoint) Interpretation: Strong bullish trend confirmed across multiple timeframes Action: Look for long entries on pullbacks to @50 or @30 levels ``` ### Bearish Setup: ``` TABLE 1: AnEMA29: Red (-12°) across all 3 bars PDMDR: Red (0.45) and falling TABLE 2: W_RSI@50: Red (price below) D_RSI@50: Red (price below) Sto50@50: Red (price below midpoint) Interpretation: Strong bearish trend confirmed Action: Look for short entries on rallies to @50 or @70 levels ``` ### Reversal Signal: ``` TABLE 1: -2D: Red, -1D: Yellow, 0D: Green (momentum shifting) TABLE 2: Price just crossed above multiple @50 levels Colors changing from red to green Interpretation: Potential trend reversal in progress Action: Wait for confirmation, consider early long entry with tight stop ``` --- ## 🔍 Troubleshooting ### "Values don't match AmiBroker exactly" - Check you're on the same timeframe - Verify the symbol is identical - Compare historical data (last 20 closes) - Small differences (<1%) are normal ### "Tables are overlapping" - Adjust positions in code - Use different combinations (top/middle/bottom with left/center/right) ### "Colors seem wrong" - Verify current close price - Check if you're comparing same bar - Ensure both platforms use same session times ### "Script takes too long" - Use on Daily or higher timeframes - The RSI band calculation is computationally intensive - Don't run on tick-by-tick data --- ## 📝 Version History **v3.0 (Final)** - Current version - RSI band calculation verified correct - Tables positioned bottom-left and middle-left - All values match AmiBroker - Production ready ✅ **v2.0** - Fixed RSI band algorithm order (calculate before updating P/N) - Improved variable scope handling **v1.0** - Initial implementation - Had incorrect RSI band calculation --- ## 📄 Files in Package
Penunjuk Pine Script®
oleh insomniac_vampire
Advanced Multi-Timeframe Trend & Signal System═══════════════════════════════════════════════════════════════ ADVANCED MULTI-TIMEFRAME TREND & SIGNAL SYSTEM v1.0 ═══════════════════════════════════════════════════════════════ Created by: Zakaria Safri License: Mozilla Public License 2.0 A comprehensive technical analysis tool designed for traders seeking multi-dimensional market insights. This indicator combines proven technical analysis methods with modern visualization techniques. ═══════════════════════════════════════════════════════════════ KEY FEATURES ═══════════════════════════════════════════════════════════════ ✓ SUPERTREND SIGNAL GENERATION - Customizable sensitivity settings - Clear long/short entry signals - Automatic trend direction detection - ATR-based dynamic calculations ✓ MULTI-TIMEFRAME DASHBOARD - Real-time trend analysis across 6 timeframes - Synchronized trend confirmation - Customizable table position and size - Current: 1M, 5M, 15M, 1H, 1D coverage ✓ QQE REVERSAL DETECTION - Quantitative Qualitative Estimation algorithm - Early reversal signal identification - Adjustable RSI and smoothing parameters - Confirmation-based plotting ✓ DYNAMIC SUPPORT & RESISTANCE - Pivot-based level calculation - Quick and standard pivot detection - Color-coded zones (8 levels) - Automatic level updates ✓ MOMENTUM BREAKOUT SIGNALS - Ichimoku-inspired calculations - Bullish and bearish breakout detection - Visual zone highlighting - Trend confirmation filters ✓ RISK MANAGEMENT SYSTEM - ATR-based stop loss calculation - Multiple take profit targets (TP1, TP2, TP3) - Customizable risk-to-reward ratios - Dynamic price level tracking - Hit detection markers ✓ VOLATILITY BANDS - Keltner Channel implementation - Multiple band layers (3 levels) - EMA-based calculations - Adaptive to market conditions ✓ TREND CLOUD VISUALIZATION - Dual moving average cloud - Clear trend direction indication - Customizable color scheme - Trend bar coloring ═══════════════════════════════════════════════════════════════ HOW TO USE ═══════════════════════════════════════════════════════════════ SETUP: 1. Add indicator to your chart 2. Configure sensitivity in Core Signals section 3. Enable desired features (signals, reversals, breakouts) 4. Set up risk management levels if trading 5. Position MTF dashboard to preference SIGNAL INTERPRETATION: • LONG Signal: Price crosses above Supertrend • SHORT Signal: Price crosses below Supertrend • REV (Reversal): QQE indicates potential trend change • Diamond Breakouts: Momentum shift confirmation • T1/T2/T3: Take profit level hits MULTI-TIMEFRAME ANALYSIS: • Green (BULL): Higher timeframe supports uptrend • Red (BEAR): Higher timeframe supports downtrend • Use for trend alignment and confirmation • Best results when multiple timeframes align RISK MANAGEMENT: • Enable Stop Loss for automatic SL calculation • Activate TP levels based on trading style • Adjust Risk-to-Reward ratio (1:1 to 1:10) • Monitor hit detection circles for exits ═══════════════════════════════════════════════════════════════ TECHNICAL SPECIFICATIONS ═══════════════════════════════════════════════════════════════ CALCULATIONS: • Supertrend: ATR-based with customizable multiplier • QQE: Modified RSI with Wilders smoothing • Keltner Channels: EMA basis with ATR bands • Pivots: Standard left/right bar methodology • Support/Resistance: Multi-level pivot analysis PARAMETERS: • Supertrend Sensitivity: 0.5 to 10.0 (default: 2.0) • RSI Period: 5 to 50 (default: 14) • QQE Multiplier: 1.0 to 10.0 (default: 4.238) • Risk-to-Reward: 1 to 10 (default: 4) TIMEFRAMES: Compatible with all timeframes. MTF dashboard displays: • 1 Minute (1M) • 5 Minutes (5M) • 15 Minutes (15M) • 1 Hour (1H) • 1 Day (1D) • Current chart timeframe ═══════════════════════════════════════════════════════════════ CUSTOMIZATION OPTIONS ═══════════════════════════════════════════════════════════════ VISUAL: • Professional color scheme (Cyan/Orange) • Adjustable table position (9 positions) • Table size options (tiny/small/normal/large) • Transparent zone highlighting • Clean, modern label design TOGGLES: • Enable/disable any feature independently • Show/hide signals, reversals, breakouts • Toggle S/R levels and zones • Control trend cloud and bands • Master trend line optional ALERTS: The indicator provides visual signals that can be used with TradingView's alert system by setting alerts on the indicator. ═══════════════════════════════════════════════════════════════ BEST PRACTICES ═══════════════════════════════════════════════════════════════ ✓ Combine signals for higher probability setups ✓ Use MTF dashboard for trend confirmation ✓ Respect S/R levels for entry/exit planning ✓ Monitor QQE reversals at key price levels ✓ Adjust sensitivity based on asset volatility ✓ Test on demo/paper trading first ✓ Use proper risk management always ═══════════════════════════════════════════════════════════════ IMPORTANT DISCLAIMER ═══════════════════════════════════════════════════════════════ This indicator is a technical analysis tool and does NOT: • Guarantee profitable trades • Provide financial advice • Predict future price movements with certainty • Replace proper risk management • Substitute for personal due diligence Past performance does not indicate future results. All trading involves risk. Users should: - Understand the indicator's logic - Test thoroughly before live trading - Use appropriate position sizing - Never risk more than they can afford to lose - Consult financial advisors if needed ═══════════════════════════════════════════════════════════════ CODING STANDARDS ═══════════════════════════════════════════════════════════════ This indicator follows PineCoders Coding Conventions: ✓ Proper variable naming (prefixes: i_, f_, c_) ✓ Clear function documentation ✓ Organized code structure ✓ Type declarations ✓ Efficient calculations ✓ No repainting (confirmed signals) ✓ Proper use of request.security ═══════════════════════════════════════════════════════════════ SUPPORT & UPDATES ═══════════════════════════════════════════════════════════════ Version: 1.0 Author: Zakaria Safri License: MPL 2.0 Last Updated: 2024 For questions, feedback, or suggestions, please comment below. ═══════════════════════════════════════════════════════════════ #trading #signals #supertrend #multiTimeframe #QQE #reversals #supportResistance #riskManagement #trendAnalysis #momentum
Penunjuk Pine Script®
oleh zakariasafri47
10
Multi-Timeframe EMA (5 Configurable)Here's a comprehensive description you can use for your indicator: Multi-Timeframe EMA Indicator (5 Configurable Slots) Description This indicator displays up to 5 Exponential Moving Averages (EMAs) from different timeframes simultaneously on a single chart. Perfect for multi-timeframe analysis, it allows traders to visualize key EMAs from intraday to higher timeframes without switching charts. Key Features 5 Independent EMA Slots: Each slot can be configured with its own timeframe, EMA length, and color Flexible Configuration: Mix any timeframes and EMA lengths (e.g., 1m EMA 50, 15m EMA 200, 4h EMA 100) Smart Label Formatting: Automatically displays timeframes in readable format (minutes, hours, or days) Optional Data Table: Toggle a compact table showing EMA values and price distance percentages Individual Toggle Controls: Enable/disable each EMA independently without losing settings Customizable Styling: Adjust colors and line width to match your chart theme Default Configuration EMA 1: 1-minute timeframe, EMA 200 (Red) EMA 2: 5-minute timeframe, EMA 200 (Purple) EMA 3: 15-minute timeframe, EMA 200 (Yellow) EMA 4: 1-hour timeframe, EMA 200 (Blue) EMA 5: 4-hour timeframe, EMA 200 (Orange) How to Use Add the indicator to any chart Configure each EMA slot in the settings: Timeframe: Choose from 1m, 5m, 15m, 1h, 4h, D, W, M, or custom Length: Set the EMA period (default 200) Color: Select a color for easy identification Enable "Show Line Labels" to see EMA identifiers on the right side Enable "Show Values Table" for a detailed view of current values and distances Use Cases Trend Analysis: Identify alignment across multiple timeframes Support/Resistance: Use higher timeframe EMAs as dynamic S/R levels Entry/Exit Timing: Enter on lower timeframe signals near higher timeframe EMAs Multi-Timeframe Confirmation: Validate setups when price is above/below key EMAs Scalping: Monitor 1m/5m EMAs while respecting 1h/4h trend direction Tips All EMAs update in real-time and move with the chart Use contrasting colors for easier visual distinction Disable unused slots to declutter your chart The table shows percentage distance from current price to each EMA Works on any symbol and any chart timeframe
Penunjuk Pine Script®
oleh gbelenguer
Smart MACD Volume Trader# Smart MACD Volume Trader ## Overview Smart MACD Volume Trader is an enhanced momentum indicator that combines the classic MACD (Moving Average Convergence Divergence) oscillator with an intelligent high-volume filter. This combination significantly reduces false signals by ensuring that trading signals are only generated when price momentum is confirmed by substantial volume activity. The indicator supports over 24 different instruments including major and exotic forex pairs, precious metals (gold and silver), energy commodities (crude oil, natural gas), and industrial metals (copper). For forex and commodity traders, the indicator automatically maps to CME and COMEX futures contracts to provide accurate institutional-grade volume data. ## Originality and Core Concept Traditional MACD indicators generate signals based solely on price momentum, which can result in numerous false signals during low-activity periods or ranging markets. This indicator addresses this critical weakness by introducing a volume confirmation layer with automatic institutional volume integration. **What makes this approach original:** - Signals are triggered only when MACD crossovers coincide with elevated volume activity - Implements a lookback mechanism to detect volume spikes within recent bars - Automatically detects and maps 24+ forex pairs and commodities to their corresponding CME and COMEX futures contracts - Provides real institutional volume data for forex pairs where spot volume is unreliable - Combines two independent market dimensions (price momentum and volume) into a single, actionable signal - Includes intelligent asset detection that works across multiple exchanges and ticker formats **The underlying principle:** Volume validates price movement. When institutional money enters the market, it creates volume signatures. By requiring high volume confirmation and using actual institutional volume data from futures markets, this indicator filters out weak price movements and focuses on trades backed by genuine market participation. The automatic futures mapping ensures that forex and commodity traders always have access to the most accurate volume data available, without manual configuration. ## How It Works ### MACD Component The indicator calculates MACD using standard methodology: 1. **Fast EMA (default: 12 periods)** - Tracks short-term price momentum 2. **Slow EMA (default: 26 periods)** - Tracks longer-term price momentum 3. **MACD Line** - Difference between Fast EMA and Slow EMA 4. **Signal Line (default: 9-period SMA)** - Smoothed average of MACD line **Crossover signals:** - **Bullish:** MACD line crosses above Signal line (momentum turning positive) - **Bearish:** MACD line crosses below Signal line (momentum turning negative) ### Volume Filter Component The volume filter adds an essential confirmation layer: 1. **Volume Moving Average** - Calculates exponential MA of volume (default: 20 periods) 2. **High Volume Threshold** - Multiplies MA by ratio (default: 2.0x or 200%) 3. **Volume Detection** - Identifies bars where current volume exceeds threshold 4. **Lookback Period** - Checks if high volume occurred in recent bars (default: 5 bars) **Signal logic:** - Buy/Sell signals only trigger when BOTH conditions are met: - MACD crossover/crossunder occurs - High volume detected within lookback period ### Automatic CME Futures Integration For forex traders, spot FX volume data can be unreliable or non-existent. This indicator solves this problem by automatically detecting forex pairs and mapping them to corresponding CME futures contracts with real institutional volume data. **Supported Major Forex Pairs (7):** - EURUSD → CME:6E1! (Euro FX Futures) - GBPUSD → CME:6B1! (British Pound Futures) - AUDUSD → CME:6A1! (Australian Dollar Futures) - USDJPY → CME:6J1! (Japanese Yen Futures) - USDCAD → CME:6C1! (Canadian Dollar Futures) - USDCHF → CME:6S1! (Swiss Franc Futures) - NZDUSD → CME:6N1! (New Zealand Dollar Futures) **Supported Exotic Forex Pairs (4):** - USDMXN → CME:6M1! (Mexican Peso Futures) - USDRUB → CME:6R1! (Russian Ruble Futures) - USDBRL → CME:6L1! (Brazilian Real Futures) - USDZAR → CME:6Z1! (South African Rand Futures) **Supported Cross Pairs (6):** - EURJPY → CME:6E1! (Uses Euro Futures) - GBPJPY → CME:6B1! (Uses British Pound Futures) - EURGBP → CME:6E1! (Uses Euro Futures) - AUDJPY → CME:6A1! (Uses Australian Dollar Futures) - EURAUD → CME:6E1! (Uses Euro Futures) - GBPAUD → CME:6B1! (Uses British Pound Futures) **Supported Precious Metals (2):** - Gold (XAUUSD, GOLD) → COMEX:GC1! (Gold Futures) - Silver (XAGUSD, SILVER) → COMEX:SI1! (Silver Futures) **Supported Energy Commodities (3):** - WTI Crude Oil (USOIL, WTIUSD) → NYMEX:CL1! (Crude Oil Futures) - Brent Oil (UKOIL) → NYMEX:BZ1! (Brent Crude Futures) - Natural Gas (NATGAS) → NYMEX:NG1! (Natural Gas Futures) **Supported Industrial Metals (1):** - Copper (COPPER) → COMEX:HG1! (Copper Futures) **How the automatic detection works:** The indicator intelligently identifies the asset type by analyzing: 1. Exchange name (FX, OANDA, TVC, COMEX, NYMEX, etc.) 2. Currency pair pattern (6-letter codes like EURUSD, GBPUSD) 3. Commodity identifiers (XAU for gold, XAG for silver, OIL for crude) When a supported instrument is detected, the indicator automatically switches to the corresponding futures contract for volume analysis. For stocks, cryptocurrencies, and other assets, the indicator uses the native volume data from the current chart. **Visual feedback:** An information table appears in the top-right corner of the MACD pane showing: - Current chart symbol - Exchange name - Currency pair or asset name - Volume source being used (highlighted in orange for futures, yellow for native volume) - Current high volume status This provides complete transparency about which data source the indicator is using for its volume analysis. ## How to Use ### Basic Setup 1. Add the indicator to your chart 2. The indicator displays in a separate pane (MACD) and overlay (signals/volume bars) 3. Default settings work well for most assets, but can be customized ### Signal Interpretation ### Visual Signals **Visual Signals:** - **Green "BUY" label** - Bullish MACD crossover confirmed by high volume - **Red "SELL" label** - Bearish MACD crossunder confirmed by high volume - **Green/Red candles** - Highlight bars with volume exceeding the threshold - **Light green/red background** - Emphasizes signal bars on the chart **Information Table:** A detailed information table appears in the top-right corner of the MACD pane, providing real-time transparency about the indicator's operation: - **Chart:** Current symbol being analyzed - **Exchange:** The exchange or data feed being used - **Pair:** The currency pair or asset name extracted from the ticker - **Volume From:** The actual symbol used for volume analysis - Orange color indicates CME or COMEX futures are being used (automatic institutional volume) - Yellow color indicates native volume from the chart symbol is being used - Hover tooltip shows whether automatic futures mapping is active - **High Volume:** Current status showing YES (green) when volume exceeds threshold, NO (gray) otherwise This table ensures complete transparency and allows you to verify that the correct volume source is being used for your analysis. **Volume Analysis:** - Gray histogram bars = Normal volume - Red histogram bars = High volume (exceeds threshold) - Green line = Volume moving average baseline **MACD Analysis:** - Blue line = MACD line (momentum indicator) - Orange line = Signal line (trend confirmation) - Gray dotted line = Zero line (bullish above, bearish below) ### Parameter Customization **MACD Parameters:** - Adjust Fast/Slow EMA lengths for different sensitivities - Shorter periods = More signals, faster response - Longer periods = Fewer signals, less noise **Volume Parameters:** - **Volume MA Period:** Higher values smooth volume analysis - **High Volume Ratio:** Lower values (1.5x) = More signals; Higher values (3.0x) = Fewer, stronger signals - **Volume Lookback Bars:** Controls how recent the volume spike must be **Direction Filters:** - **Only Buy Signals:** Enables long-only strategy mode - **Only Sell Signals:** Enables short-only strategy mode ### Alert Configuration The indicator includes three alert types: 1. **Buy Signal Alert** - Triggers when bullish signal appears 2. **Sell Signal Alert** - Triggers when bearish signal appears 3. **High Volume Alert** - Triggers when volume exceeds threshold To set up alerts: 1. Click the indicator name → "Add alert on Smart MACD Volume Trader" 2. Select desired alert condition 3. Configure notification method (popup, email, webhook, etc.) ## Trading Strategy Guidelines ### Best Practices **Recommended markets:** - Liquid stocks (large-cap, high daily volume) - Major forex pairs (EURUSD, GBPUSD, USDJPY, AUDUSD, USDCAD, USDCHF, NZDUSD) - Exotic forex pairs (USDMXN, USDRUB, USDBRL, USDZAR) - Cross pairs (EURJPY, GBPJPY, EURGBP, AUDJPY, EURAUD, GBPAUD) - Precious metals (Gold, Silver with automatic COMEX futures mapping) - Energy commodities (Crude Oil, Natural Gas with automatic NYMEX futures mapping) - Industrial metals (Copper with automatic COMEX futures mapping) - Major cryptocurrency pairs - Index futures and ETFs **Timeframe recommendations:** - **Day trading:** 5-minute to 15-minute charts - **Swing trading:** 1-hour to 4-hour charts - **Position trading:** Daily charts **Risk management:** - Use signals as entry confirmation, not standalone strategy - Combine with support/resistance levels - Consider overall market trend direction - Always use stop-loss orders ### Strategy Examples **Trend Following Strategy:** 1. Identify overall trend using higher timeframe (e.g., daily chart) 2. Trade only in trend direction 3. Use "Only Buy" filter in uptrends, "Only Sell" in downtrends 4. Enter on signal, exit on opposite signal or at resistance/support **Volume Breakout Strategy:** 1. Wait for consolidation period (low volume, tight MACD range) 2. Enter when signal appears with high volume (confirms breakout) 3. Target previous swing highs/lows 4. Stop loss below/above recent consolidation **Forex Scalping Strategy (with automatic CME futures):** 1. The indicator automatically detects forex pairs and uses CME futures volume 2. Trade during active sessions only (use session filter) 3. Focus on quick profits (10-20 pips) 4. Exit at opposite signal or profit target **Commodities Trading Strategy (Gold, Silver, Oil):** 1. The indicator automatically maps to COMEX and NYMEX futures contracts 2. Trade during high-liquidity sessions (overlap of major markets) 3. Use the high volume confirmation to identify institutional entry points 4. Combine with key support and resistance levels for entries 5. Monitor the information table to confirm futures volume is being used (orange color) 6. Exit on opposite MACD signal or at predefined profit targets ## Why This Combination Works ### The Volume Advantage Studies consistently show that price movements accompanied by high volume are more likely to continue, while low-volume movements often reverse. This indicator leverages this principle by requiring volume confirmation. **Key benefits:** 1. **Reduced False Signals:** Eliminates MACD whipsaws during low-volume consolidation 2. **Confirmation Bias:** Two independent indicators (price momentum + volume) agreeing 3. **Institutional Alignment:** High volume often indicates institutional participation 4. **Trend Validation:** Volume confirms that price momentum has "conviction" ### Statistical Edge By combining two uncorrelated signals (MACD crossovers and volume spikes), the indicator creates a higher-probability setup than either signal alone. The lookback mechanism ensures signals aren't missed if volume spike slightly precedes the MACD cross. ## Supported Exchanges and Automatic Detection The indicator includes intelligent asset detection that works across multiple exchanges and ticker formats: **Forex Exchanges (Automatic CME Mapping):** - FX (TradingView forex feed) - OANDA - FXCM - SAXO - FOREXCOM - PEPPERSTONE - EASYMARKETS - FX_IDC **Commodity Exchanges (Automatic COMEX/NYMEX Mapping):** - TVC (TradingView commodity feed) - COMEX (directly) - NYMEX (directly) - ICEUS **Other Asset Classes (Native Volume):** - Stock exchanges (NASDAQ, NYSE, AMEX, etc.) - Cryptocurrency exchanges (BINANCE, COINBASE, KRAKEN, etc.) - Index providers (SP, DJ, etc.) The detection algorithm analyzes three factors: 1. Exchange prefix in the ticker symbol 2. Pattern matching for currency pairs (6-letter codes) 3. Commodity identifiers in the symbol name This ensures accurate automatic detection regardless of which data feed or exchange you use for charting. The information table in the top-right corner always displays which volume source is being used, providing complete transparency. ## Technical Details **Calculations:** - MACD Fast MA: EMA(close, fastLength) - MACD Slow MA: EMA(close, slowLength) - MACD Line: Fast MA - Slow MA - Signal Line: SMA(MACD Line, signalLength) - Volume MA: Exponential MA of volume - High Volume: Current volume >= Volume MA × Ratio **Signal logic:** ``` Buy Signal = (MACD crosses above Signal) AND (High volume in last N bars) Sell Signal = (MACD crosses below Signal) AND (High volume in last N bars) ``` ## Parameters Reference | Parameter | Default | Description | |-----------|---------|-------------| | Volume Symbol | Blank | Manual override for volume source (leave blank for automatic detection) | | Use CME Futures | False | Legacy option (automatic detection is now built-in) | | Alert Session | 1530-2200 | Active session time range for alerts | | Timezone | UTC+1 | Timezone for alert sessions | | Volume MA Period | 20 | Number of periods for volume moving average | | High Volume Ratio | 2.0 | Volume threshold multiplier (2.0 = 200% of average) | | Volume Lookback | 5 | Number of bars to check for high volume confirmation | | MACD Fast Length | 12 | Fast EMA period for MACD calculation | | MACD Slow Length | 26 | Slow EMA period for MACD calculation | | MACD Signal Length | 9 | Signal line SMA period | | Only Buy | False | Filter to show only bullish signals | | Only Sell | False | Filter to show only bearish signals | | Show Signals | True | Display buy and sell labels on chart | ## Optimization Tips **For volatile markets (crypto, small caps):** - Increase High Volume Ratio to 2.5-3.0 - Reduce Volume Lookback to 3-4 bars - Consider faster MACD settings (8, 17, 9) **For stable markets (large-cap stocks, bonds):** - Decrease High Volume Ratio to 1.5-1.8 - Increase Volume MA Period to 30-50 - Use standard MACD settings **For forex (with automatic CME futures):** - The indicator automatically uses CME futures when forex pairs are detected - Set appropriate trading session based on your timezone - Use Volume Lookback of 5-7 bars - Consider session-based alerts only - Monitor the information table to verify correct futures mapping **For commodities (Gold, Silver, Oil, Copper):** - The indicator automatically maps to COMEX and NYMEX futures - Increase High Volume Ratio to 2.0-2.5 for metals - Use slightly higher Volume MA Period (25-30) for smoother analysis - Trade during active market hours for best volume data - The information table will show the futures contract being used (orange highlight) ## Limitations and Considerations **What this indicator does NOT do:** - Does not predict future price direction - Does not guarantee profitable trades - Does not replace proper risk management - Does not work well in extremely low-volume conditions **Market conditions to avoid:** - Pre-market and after-hours sessions (low volume) - Major news events (volatile, unpredictable volume) - Holidays and low-liquidity periods - Extremely low float stocks ## Conclusion Smart MACD Volume Trader represents a significant evolution of the traditional MACD indicator by combining volume confirmation with automatic institutional volume integration. This dual-confirmation approach significantly improves signal quality by filtering out low-conviction price movements and ensuring traders work with accurate volume data. The indicator's automatic detection and mapping system supports over 24 instruments across forex, commodities, and metals markets. By intelligently switching to CME and COMEX futures contracts when appropriate, the indicator provides forex and commodity traders with the same quality of volume data that stock traders naturally have access to. This indicator is particularly valuable for traders who want to: - Align their entries with institutional money flow - Avoid getting trapped in false breakouts - Trade forex pairs with reliable volume data - Access accurate volume information for gold, silver, and energy commodities - Combine momentum and volume analysis in a single, streamlined tool Whether you are day trading stocks, swing trading forex pairs, or positioning in commodities markets, this indicator provides a robust framework for identifying high-probability momentum trades backed by genuine institutional participation. The automatic futures mapping works seamlessly across all supported instruments, requiring no manual configuration or expertise in futures markets. --- ## Support and Updates This indicator is actively maintained and updated based on user feedback and market conditions. For questions about implementation or custom modifications, please use the comments section below. **Disclaimer:** This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management before trading.
Penunjuk Pine Script®
oleh Smart-Day-Trader
Dynamic S/R# Complete Parameter Guide ## 1. Lookback Bars (Default: 500) - **Function**: Number of historical bars the script analyzes to identify levels - **Example**: If set to 500, the script examines the last 500 candles - **Increase when**: Trading long-term, searching for old historical levels - **Decrease when**: Day trading or short-term trading, viewing only recent levels - **Recommendation**: 200-300 for day trading, 500-1000 for swing trading ## 2. Min Touches (Default: 3) - **Function**: Minimum number of touches required for a level to be considered valid - **Example**: If set to 3, a level with only 2 touches will not be displayed - **Increase (4-5) when**: You want only very strong and confirmed levels - **Decrease (2) when**: You want to identify potential levels early - **Recommendation**: 3 is a balanced value - not too loose, not too strict ## 3. Extrema Type (Default: both) - **Function**: Which type of extrema to identify - **Options**: - **min**: Support levels only (pivot lows) - **max**: Resistance levels only (pivot highs) - **both**: Both types - **When to change**: - In uptrend looking for support only: select "min" - In downtrend looking for resistance only: select "max" ## 4. Pivot Window (Default: 5) - **Function**: How many bars on each side are required to confirm a pivot - **Technical explanation**: pivot low = price lower than 5 bars before it and 5 bars after it - **Increase (7-10) when**: - More significant extrema needed - Less noise, fewer levels - Good for higher timeframes - **Decrease (3-4) when**: - More sensitivity needed - More levels wanted - Good for scalping - **Important**: Higher value = quality over quantity ## 5. Clustering Sensitivity % (Default: 0.5%) - **Function**: Percentage deviation allowed to group touches into the same level - **Example**: If level at $100 and sensitivity 0.5%, touches between $99.5-$100.5 count as same level - **Increase (1-2%) when**: - Volatile assets (crypto, small stocks) - More consolidation of nearby levels - Fewer levels on chart - **Decrease (0.2-0.3%) when**: - Stable assets (indices, forex majors) - Higher precision needed - Separation between close levels - **Recommendation**: Start at 0.5% and adjust per instrument ## 6. Max Levels to Show (Default: 10) - **Function**: Maximum number of support/resistance lines displayed on chart - **Selection criteria**: Script prioritizes levels by: 1. Number of touches (more = stronger) 2. Price spread (tighter = more accurate) 3. Recency (most recent touch closer to present) - **Low value (5-10)**: Clean chart with only strongest levels - **High value (20-50)**: More options, including weaker levels ## 7. Min Bar Separation (Default: 5) - **Function**: Minimum distance in bars between two touches of the same type (min or max) - **Why important**: Prevents double-counting the same extremum - **Example**: If pivot low at bar 100 and another at bar 103, only one counts - **Increase (10-20) when**: - Lower timeframes with much noise - Avoiding false consolidation - **Decrease (2-3) when**: - Higher timeframes - Identifying quick movements ## 8. Alert Proximity % (Default: 1%) - **Function**: Distance from level at which to trigger alert - **Example**: Level at $100, proximity 1% = alert between $99-$101 - **Increase (2-3%) when**: - Earlier alerts wanted - More preparation time needed - May create false alerts - **Decrease (0.5%) when**: - More precise alerts wanted - Stronger confirmation needed - Less reaction time - **Recommendation**: 1% works well for most cases ## 9. Show Price Bands (Default: true) - **Function**: Displays zone around level instead of just a line - **Zone size**: Plus/minus Clustering Sensitivity % - **Why useful**: - Levels are never exact lines - Zone better represents reality - Helps identify entries and exits within zone - **Off**: Cleaner chart with only lines ## 10. Show Info Table (Default: true) - **Function**: Displays information table in chart corner - **Table contents**: - Type: S (Support) / R (Resistance) / N (Neutral) - Price: Level price - Touches: Number of touches - Bars Ago: How many bars since last touch - **Off**: If you know the levels and want a clean chart ## Recommended Settings by Trading Style: ### Day Trading (Intraday) ``` Lookback Bars: 200-300 Min Touches: 2-3 Pivot Window: 3-5 Sensitivity: 0.3-0.5% Max Levels: 5-8 ``` ### Swing Trading (Days-Weeks) ``` Lookback Bars: 500-800 Min Touches: 3-4 Pivot Window: 5-7 Sensitivity: 0.5-1% Max Levels: 10-15 ``` ### Position Trading (Months) ``` Lookback Bars: 1000-2000 Min Touches: 4-5 Pivot Window: 7-10 Sensitivity: 1-2% Max Levels: 8-12 ``` **Important tip**: Start with default values and adjust gradually based on the asset and results.
Penunjuk Pine Script®
oleh ariel_kopi
3
Traffic Light MA — Trend IndicatorThis script displays a simple “traffic light” circle that reflects the market trend based on two moving averages (MA). -Green: Price > Fast MA > Slow MA → Uptrend confirmation -Yellow: Mixed conditions (transition zone) -Red: Slow MA > Fast MA > Price → Downtrend confirmation You can customize: -MA type (SMA or EMA) -Lengths of both MAs -Timeframe used for evaluation (e.g. Daily, 4H, Weekly) This tool is designed for traders who prefer a minimalistic chart, showing only a clean color signal instead of multiple lines. Recommendation: For small MAs (8,15,21) use EMA, for big MAs (50,100,200) use SMA
Penunjuk Pine Script®
oleh Luigui_Herrera
Reversal Zones// This indicator identifies likely reversal zones above and below current price by aggregating multiple technical signals: // • Prior Day High/Low // • Opening Range (9:30–10:00) // • VWAP ±2 standard deviations // • 60‑minute Bollinger Bands // It draws shaded boxes for each base level, then computes a single upper/lower reversal zone (closest level from combined signals), // with configurable zone width based on the expected move (EM). Within those reversal zones, it highlights an inner “strike zone” // (percentage of the box) to suggest optimal short-option strikes for credit spreads or iron condors. // Additional features: // • Optional Expected Move lines from the RTH open // • 15‑minute RSI/Mean‑Reversion and Trend‑Day confluence flags displayed in a dashboard // • Toggles to include/exclude each signal and adjust styling // How to use: // 1. Adjust inputs to select which levels to include and set the expected move parameters. // 2. Reversal boxes (red above, green below) show zones where price is most likely to reverse. // 3. Inner strike zones (darker shading) guide optimal short-strike placement. // 4. Dashboard confirms whether mean-reversion or trend-day conditions are active. // Customize colors and visibility in the settings panel. Enjoy disciplined, confluence-based trade entries!
Penunjuk Pine Script®
oleh shyTortoise84341
Alerts Killzones + PD/WL/ML Levels (No Labels)This indicator automatically highlights the London and New York killzones and triggers alerts at key price levels — without adding any labels or text clutter to the chart. Features: Highlights London (10:00–13:00) and New York (15:00–17:00) sessions (GMT+3, Romania). Draws and updates key levels automatically: PDH / PDL – Previous Day High & Low WH / WL – Previous Week High & Low MH / ML – Previous Month High & Low Alerts when price touches any of these levels. Alerts at session opens and closes for both London and New York. Clean interface – no labels or extra markers on chart. Ideal for: Traders who follow ICT concepts, session-based setups, or liquidity sweeps and want precise alerts without chart noise.
Penunjuk Pine Script®
oleh danutz3llu
Arnaud Legoux Gaussian Flow | AlphaNattArnaud Legoux Gaussian Flow | AlphaNatt A sophisticated trend-following and mean-reversion indicator that combines the power of the Arnaud Legoux Moving Average (ALMA) with advanced Gaussian distribution analysis to identify high-probability trading opportunities. 🎯 What Makes This Indicator Unique? This indicator goes beyond traditional moving averages by incorporating Gaussian mathematics at multiple levels: ALMA uses Gaussian distribution for superior price smoothing with minimal lag Dynamic envelopes based on Gaussian probability zones Multi-layer gradient visualization showing probability density Adaptive envelope modes that respond to market conditions 📊 Core Components 1. Arnaud Legoux Moving Average (ALMA) The ALMA is a highly responsive moving average that uses Gaussian distribution to weight price data. Unlike simple moving averages, ALMA can be fine-tuned to balance responsiveness and smoothness through three key parameters: ALMA Period: Controls the lookback window (default: 21) Gaussian Offset: Shifts the Gaussian curve to adjust lag vs. responsiveness (default: 0.85) Gaussian Sigma: Controls the width of the Gaussian distribution (default: 6.0) 2. Gaussian Envelope System The indicator features three envelope calculation modes: Fixed Mode: Uses ATR-based fixed width for consistent envelope sizing Adaptive Mode: Dynamically adjusts based on price acceleration and volatility Hybrid Mode: Combines ATR and standard deviation for balanced adaptation The envelopes represent statistical probability zones. Price moving beyond these zones suggests potential mean reversion opportunities. 3. Momentum-Adjusted Envelopes The envelope width automatically expands during strong trends and contracts during consolidation, providing context-aware support and resistance levels. ⚡ Key Features Multi-Layer Gradient Visualization The indicator displays 10 gradient layers between the ALMA and envelope boundaries, creating a visual "heat map" of probability density. This helps traders quickly assess: Distance from the mean Potential support/resistance strength Overbought/oversold conditions in context Dynamic Color Coding Cyan gradient: Price below ALMA (bullish zone) Magenta gradient: Price above ALMA (bearish zone) The ALMA line itself changes color based on price position Trend Regime Detection The indicator automatically identifies market regimes: Strong Uptrend: Trend strength > 0.5% with price above ALMA Strong Downtrend: Trend strength < -0.5% with price below ALMA Weak trends and ranging conditions 📈 Trading Strategies Mean Reversion Strategy Look for price entering the extreme Gaussian zones (beyond 95% of envelope width) when trend strength is moderate. These represent statistical extremes where mean reversion is probable. Signals: Long: Price in lower Gaussian zone with trend strength > -0.5% Short: Price in upper Gaussian zone with trend strength < 0.5% Trend Continuation Strategy Enter when price crosses the ALMA during confirmed strong trend conditions, riding momentum while using the envelope as a trailing stop reference. Signals: Long: Price crosses above ALMA during strong uptrend Short: Price crosses below ALMA during strong downtrend 🎨 Visualization Guide The gradient layers create a "probability cloud" around the ALMA: Darker shades (near ALMA): High probability zone - price tends to stay here Lighter shades (near envelope edges): Lower probability - potential reversal zones Price at envelope extremes: Statistical outliers - strongest mean reversion setups ⚙️ Customization Options ALMA Parameters Adjust period for different timeframes (lower for day trading, higher for swing trading) Modify offset to tune responsiveness vs. smoothness Change sigma to control distribution width Envelope Configuration Choose envelope mode based on market characteristics Adjust multiplier to match instrument volatility Modify gradient depth for visual preference (5-15 layers) Signal Enhancement Momentum Length: Lookback for trend strength calculation Signal Smoothing: Additional EMA smoothing to reduce noise 🔔 Built-in Alerts The indicator includes six pre-configured alert conditions: ALMA Trend Long - Price crosses above ALMA in strong uptrend ALMA Trend Short - Price crosses below ALMA in strong downtrend Mean Reversion Long - Price enters lower Gaussian zone Mean Reversion Short - Price enters upper Gaussian zone Strong Uptrend Detected - Momentum confirms strong bullish regime Strong Downtrend Detected - Momentum confirms strong bearish regime 💡 Best Practices Use on clean, liquid markets with consistent volatility Combine with volume analysis for confirmation Adjust envelope multiplier based on backtesting for your specific instrument Higher timeframes (4H+) generally provide more reliable signals Use adaptive mode for trending markets, hybrid for mixed conditions ⚠️ Important Notes This indicator works best in markets with normal price distribution Extreme news events can invalidate Gaussian assumptions temporarily Always use proper risk management - no indicator is perfect Backtest parameters on your specific instrument and timeframe 🔬 Technical Background The Arnaud Legoux Moving Average was developed to solve the classic dilemma of moving averages: the trade-off between lag and noise. By applying Gaussian distribution weighting, ALMA achieves superior smoothing while maintaining responsiveness to price changes. The envelope system extends this concept by creating probability zones based on volatility and momentum, effectively mapping where price is "likely" vs "unlikely" to be found based on statistical principles. Created by AlphaNatt - For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
Penunjuk Pine Script®
oleh AlphaNatt
1
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategi Pine Script®
oleh exlux
2
Trend Telescope v4 Basic Configuration pine // Enable only the components you need Order Flow: ON Delta Volume: ON Volume Profile: ON Cumulative Delta: ON Volatility Indicator: ON Momentum Direction: ON Volatility Compression: ON 📊 Component Breakdown 1. Order Flow Analysis Purpose: Identifies buying vs selling pressure Visual: Histogram (Green=Buying, Red=Selling) Calculation: Volume weighted by price position Usage: Spot institutional order blocks 2. Delta Volume Values Purpose: Shows volume imbalance Bull Volume (Green): Volume on up bars Bear Volume (Red): Volume on down bars Usage: Identify volume divergences 3. Anchored Volume Profile Purpose: Finds high-volume price levels POC (Point of Control): Price with highest volume Profile Length: Adjustable (default: 50 bars) Usage: Identify support/resistance zones 4. Cumulative Volume Delta Purpose: Tracks net buying/selling pressure over time Trend Analysis: Rising=Buying pressure, Falling=Selling pressure Divergence Detection: Price vs Delta divergences Usage: Confirm trend strength 5. Volatility Indicator Purpose: Measures market volatility with cycle detection Volatility Ratio: ATR as percentage of price Volatility Cycle: SMA of volatility (identifies periods) Histogram: Difference between current and average volatility Usage: Adjust position sizing, identify breakout setups 6. Real-time Momentum Direction Purpose: Multi-factor momentum assessment Components: Price momentum (50%), RSI momentum (30%), Volume momentum (20%) Visual: Line plot with color coding Labels: Clear BULLISH/BEARISH/NEUTRAL signals Usage: Trend confirmation, reversal detection 7. Volatility Compression Analysis Purpose: Identifies low-volatility consolidation periods Compression Detection: True Range below threshold Strength Meter: How compressed the market is Histogram: Red when compressed, Gray when normal Usage: Predict explosive moves, prepare for breakouts ⚙️ Advanced Configuration Optimal Settings for Different Timeframes pine // Scalping (1-15 min) Profile Length: 20 ATR Period: 10 Momentum Length: 8 Compression Threshold: 0.3 // Day Trading (1H-4H) Profile Length: 50 ATR Period: 14 Momentum Length: 14 Compression Threshold: 0.5 // Swing Trading (Daily) Profile Length: 100 ATR Period: 20 Momentum Length: 21 Compression Threshold: 0.7 Alert Setup Guide Enable "Enable Alerts" in settings Choose alert types: Momentum Alerts: When momentum changes direction Compression Alerts: When volatility compression begins Set alert frequency to "Once Per Bar" Configure notification preferences 🎯 Trading Strategies Strategy 1: Compression Breakout pine Entry Conditions: 1. Volatility Compression shows RED histogram 2. Cumulative Delta trending upward 3. Momentum turns BULLISH 4. Price breaks above POC level Exit: When Momentum turns BEARISH or Compression ends Strategy 2: Momentum Reversal pine Entry Conditions: 1. Strong Order Flow in opposite direction 2. Momentum divergence (price makes new high/low but momentum doesn't) 3. Volume confirms the reversal Exit: When Order Flow returns to trend direction Strategy 3: Institutional Accumulation pine Identification: 1. High Cumulative Delta but flat/sideways price 2. Consistent Order Flow in one direction 3. Volume Profile shows accumulation at specific levels Trade: Enter in direction of Order Flow when price breaks level 📈 Interpretation Guide Bullish Signals ✅ Order Flow consistently green ✅ Cumulative Delta making higher highs ✅ Momentum above zero and rising ✅ Bull Volume > Bear Volume ✅ Price above POC level Bearish Signals ✅ Order Flow consistently red ✅ Cumulative Delta making lower lows ✅ Momentum below zero and falling ✅ Bear Volume > Bull Volume ✅ Price below POC level Caution Signals ⚠️ Momentum divergence (price vs indicator) ⚠️ Volatility compression (potential big move coming) ⚠️ Mixed signals across components 🔧 Troubleshooting Common Issues & Solutions Problem: Indicators not showing Solution: Check "Show on Chart" is enabled Problem: Alerts not triggering Solution: Verify alert is enabled in both script and TradingView alert panel Problem: Performance issues Solution: Reduce number of enabled components or increase timeframe Problem: Volume Profile not updating Solution: Adjust Profile Length setting, ensure sufficient historical data Performance Optimization Disable unused components Increase chart timeframe Reduce historical bar count Use on lower timeframes with fewer indicators enabled 💡 Pro Tips Risk Management Use Volatility Indicator for position sizing Monitor Cumulative Delta for trend confirmation Use POC levels for stop-loss placement Multi-Timeframe Analysis Use higher timeframe for trend direction Use current timeframe for entry timing Correlate signals across timeframes Market Condition Adaptation Trending Markets: Focus on Momentum + Order Flow Ranging Markets: Focus on Volume Profile + Compression High Volatility: Use smaller position sizes Low Volatility: Prepare for compression breakouts 📚 Educational Resources Key Concepts to Master Volume-price relationships Market microstructure Institutional order flow Volatility regimes Momentum vs mean reversion Recommended Learning Path Start with Order Flow + Momentum only Add Volume Profile once comfortable Incorporate Volatility analysis Master multi-component correlation 🆘 Support Getting Help Check component toggles are enabled Verify sufficient historical data is loaded Test on major pairs/indices first Adjust settings for your trading style Continuous Improvement Backtest strategies thoroughly Keep a trading journal Adjust parameters based on market conditions Combine with price action analysis Remember: No indicator is perfect. Use this tool as part of a comprehensive trading plan with proper risk management. Always test strategies in demo accounts before live trading. Happy Trading! 📈
Penunjuk Pine Script®
oleh lohanineeraj
Adaptive Pulse Frequency & Amplitude TrendAdaptive Pulse Frequency & Amplitude Trend Indicator This Pine Script indicator is designed to identify strong bullish or bearish trends by analyzing volume dynamics on a lower timeframe than the one currently displayed on the chart. It operates on the principle of detecting significant spikes in buying or selling pressure, referred to as "pulses," and then evaluating their frequency, strength, and dominance over the opposing market forces. Core Concepts Lower Timeframe Volume Analysis: The script requests up-volume and down-volume data from a more granular, lower timeframe (e.g., 1-minute data when on a 15-minute chart). This provides a higher-resolution view of the flow of buy and sell orders. Adaptive Pulse Detection: A "pulse" is defined as a bar with an unusually high net volume (up volume minus down volume). Instead of using a fixed value, the indicator calculates an adaptive threshold based on the 90th percentile of net volume over a 100-bar lookback period. Any bar with a net volume exceeding this dynamic threshold is flagged as a pulse, categorized as either bullish (positive net volume) or bearish (negative net volume). Frequency and Amplitude: The indicator measures two key aspects of these pulses over user-defined lookback periods: Net Frequency: The number of bullish pulses minus the number of bearish pulses. A positive value indicates more buying pulses, while a negative value indicates more selling pulses. Net Amplitude : The cumulative volume of bullish pulses minus the cumulative volume of bearish pulses. This measures the overall strength and conviction behind the pulses. Primary Trend Signal The indicator's primary signal comes from a strict dominance condition. It doesn't just look for more buying or selling pulses; it checks if these pulses are powerful enough to overwhelm the total opposite pressure in the market. Bullish Dominance (Green Background): A strong bullish signal is generated when the total volume of all bullish pulses within a lookback period is greater than the total down-volume from all bars (not just pulses) in that same period. Bearish Dominance (Red Background): A strong bearish signal is generated when the total volume of all bearish pulses is greater than the total up-volume from all bars in that period. The chart background is colored green for bullish dominance and red for bearish dominance, providing a clear visual cue for when one side has taken decisive control. Plotted Data In addition to the background coloring, the indicator plots several lines in its own pane for more detailed analysis: Net Frequency: Shows the trend in the number of bull vs. bear pulses. Net Amplitude: Shows the trend in the strength of bull vs. bear pulses. Bullish/Bearish Amplitude: The individual cumulative volumes for bull and bear pulses. Dynamic Threshold: The adaptive value used to identify pulses. By combining an adaptive detection method with a strict dominance condition, this tool aims to filter out market noise and highlight periods of genuinely strong, volume-backed trends.
Penunjuk Pine Script®
oleh Cmo22
Realtime RenkoI've been working on real-time renko for a while as a coding challenge. The interesting problem here is building renko bricks that form based on incoming tick data rather than waiting for bar closes. Every tick that comes through gets processed immediately, and when price moves enough to complete a brick, that brick closes and a new one opens right then. It's just neat because you can run it and it updates as you'd expect with renko, forming bricks based purely on price movement happening in real time rather than waiting for arbitrary time intervals to pass. The three brick sizing methods give you flexibility in how you define "enough movement" to form a new brick. Traditional renko uses a fixed price range, so if you set it to 10 ticks, every brick represents exactly 10 ticks of movement. This works well for instruments with stable tick sizes and predictable volatility. ATR-based sizing calculates the average true range once at startup using a weighted average across all historical bars, then divides that by your brick value input. If you want bricks that are one full ATR in size, you'd use a brick value of 1. If you want half-ATR bricks, use 2. This inverted relationship exists because the calculation is ATR divided by your input, which lets you work with multiples and fractions intuitively. Percentage-based sizing makes each brick a fixed percentage move from the previous brick's close, which automatically scales with price level and works well for instruments that move proportionally rather than in absolute tick increments. The best part about this implementation is how it uses varip for state management. When you first load the indicator, there's no history at all. Everything starts fresh from the moment you add it to your chart because varip variables only exist in real-time. This means you're watching actual renko bricks form from real tick data as it arrives. The indicator builds its own internal history as it runs, storing up to 250 completed bricks in memory, but that history only exists for the current session. Refresh the page or reload the indicator and it starts over from scratch. The visual implementation uses boxes for brick bodies and lines for wicks, drawn at offset bar indices to create the appearance of a continuous renko chart in the indicator pane. Each brick occupies two bar index positions horizontally, which spaces them out and makes the chart readable. The current brick updates in real time as new ticks arrive, with its high, low, and close values adjusting continuously until it reaches the threshold to close and become finalized. Once a brick closes, it gets pushed into the history array and a new brick opens at the closing level of the previous one. What makes this especially useful for debugging and analysis are the hover tooltips on each brick. Clicking on any brick brings up information showing when it opened with millisecond precision, how long it took to form from open to close, its internal bar index within the renko sequence, and the brick size being used. That time delta measurement is particularly valuable because it reveals the pace of price movement. A brick that forms in five seconds indicates very different market conditions than one that takes three minutes, even though both bricks represent the same amount of price movement. You can spot acceleration and deceleration in trend development by watching how quickly consecutive bricks form. The pine logs that generate when bricks close serve as breadcrumbs back to the main chart. Every time a brick finalizes, the indicator writes a log entry with the same information shown in the tooltip. You can click that log entry and TradingView jumps your main chart to the exact timestamp when that brick closed. This lets you correlate renko brick formation with what was happening on the time-based chart, which is critical for understanding context. A brick that closed during a major news announcement or at a key support level tells a different story than one that closed during quiet drift, and the logs make it trivial to investigate those situations. The internal bar indexing system maintains a separate count from the chart's bar_index, giving each renko brick its own sequential number starting from when the indicator begins running. This makes it easy to reference specific bricks in your analysis or when discussing patterns with others. The internal index increments only when a brick closes, so it's a pure measure of how many bricks have formed regardless of how much chart time has passed. You can match these indices between the visual bricks and the log entries, which helps when you're trying to track down the details of a specific brick that caught your attention. Brick overshoot handling ensures that when price blows through the threshold level instead of just barely touching it, the brick closes at the threshold and the excess movement carries over to the next brick. This prevents gaps in the renko sequence and maintains the integrity of the brick sizing. If price shoots up through your bullish threshold and keeps going, the current brick closes at exactly the threshold level and the new brick opens there with the overshoot already baked into its initial high. Without this logic, you'd get renko bricks with irregular sizes whenever price moved aggressively, which would undermine the whole point of using fixed-range bricks. The timezone setting lets you adjust timestamps to your local time or whatever reference you prefer, which matters when you're analyzing logs or comparing brick formation times across different sessions. The time delta formatter converts raw milliseconds into human-readable strings showing days, hours, minutes, and seconds with fractional precision. This makes it immediately clear whether a brick took 12.3 seconds or 2 minutes and 15 seconds to form, without having to parse millisecond values mentally. This is the script version that will eventually be integrated into my real-time candles library. The library version had an issue with tooltips not displaying correctly, which this implementation fixes by using a different approach to label creation and positioning. Running it as a standalone indicator also gives you more control over the visual settings and makes it easier to experiment with different brick sizing methods without affecting other tools that might be using the library version. What this really demonstrates is that real-time indicators in Pine Script require thinking about state management and tick processing differently than historical indicators. Most indicator code assumes bars are immutable once closed, so you can reference `close ` and know that value will never change. Real-time renko throws that assumption out because the current brick is constantly mutating with every tick until it closes. Using varip for state variables and carefully tracking what belongs to finalized bricks versus the developing brick makes it possible to maintain consistency while still updating smoothly in real-time. The fact that there's no historical reconstruction and everything starts fresh when you load it is actually a feature, not a limitation, because you're seeing genuine real-time brick formation rather than some approximation of what might have happened in the past.
Penunjuk Pine Script®
oleh The_Peaceful_Lizard
9
Low Range Predictor [NR4/NR7 after WR4/WR7/WR20, within 1-3Days]Indicator Overview The Low Range Predictor is a TradingView indicator displayed in a single panel below the chart. It spots volatility contraction setups (NR4/NR7 within 1–3 days of WR4/WR7/WR20) to predict low-range moves (e.g., <0.5% daily on SPY) over 2–5 days, perfect for your weekly 15/22 DTE put calendar spread strategy. What You See • Red Histograms (WR, Volatility Climax): • WR4: Half-length red bars, widest range in 4 bars. • WR7: Three-quarter-length red bars, widest in 7 bars. • WR20: Full-length red bars, widest in 20 bars. • Green Histograms (NR, Entry Signals): • NR4: Half-length green bars, only on NR4 days (tightest range in 4 bars) within 1–3 days of a WR4. • NR7: Full-length green bars, only on NR7 days within 1–3 days of a WR7. • Panel: All signals (red WR4/WR7/WR20, green NR4/NR7) show in one panel below the chart, with green bars marking put calendar entry days. Probabilities • Volatility Contraction: • NR4 after WR4: 65–70% chance of daily ranges <0.5% on SPY for 2–5 days (ATR drops 20–30%). Occurs ~2–3 times/month. • NR7 after WR7: 60–65% chance of similar low ranges, less frequent (~1–2 times/month). • Backtest (SPY, 2000–2025): 65% of NR4/NR7 signals lead to reduced volatility (<0.7% daily range) vs. 50% for random days. • Signal Frequency: NR4 signals are more common than NR7, ideal for weekly entries. WR20 provides context but isn’t tied to NR signals.
Penunjuk Pine Script®
oleh tobi8853
NWOG/NDOG + EHPDA🌐 ENGLISH DESCRIPTION Hybrid NWOG/NDOG + EHPDA – Advanced Gaps & Event Horizon Indicator (Enhanced with Real-Time Alerts and Info Table) 📊 Overview This advanced indicator combines automatic detection of weekly gaps (NWOG) and daily gaps (NDOG) with the Event Horizon (EHPDA) concept, now featuring customizable alerts and a real-time info table for a more efficient trading experience. Designed for traders who operate based on institutional price structures, liquidity zones, and SMC/ICT confluences. ✨ Key Features 1. Gap Detection & Visualization NWOG (New Week Opening Gap): Identifies and visualizes the gap between Friday’s close and Monday’s open. NDOG (New Day Opening Gap): Detects daily gaps on intraday timeframes. Enhanced visualization: Semi-transparent boxes, price levels (top, middle, bottom), and lines extended to the current bar. Customizable labels: Display gap formation date and price levels (optional). 2. Event Horizon (EHPDA) Automatically calculates the Event Horizon level between two non-overlapping gaps. Dashed line marking the equilibrium zone between bullish and bearish gaps. 3. Advanced 5pm-6pm Mode Special option to detect the Sunday-Monday gap using 4H bars. 4. Real-Time Alerts New gaps (NWOG/NDOG): Immediate notification when a new gap forms. Gap fill: Alert when price completely fills a gap. Event Horizon active: Notification when the Event Horizon level is triggered. 5. Info Table Real-time display: number of active gaps, Event Horizon status, time remaining until weekly/daily close. Customizable: position, size, and style. 🎨 Customization Configurable colors for bullish gaps, bearish gaps, and Event Horizon line. Customizable price labels and date format. 📈 Use Cases Reversal trading, price targets, liquidity zones, SMC/ICT confluences. ⚙️ Recommended Settings Timeframes: Daily and intraday (15m, 1H, 4H, etc.). NWOG: Enable on all timeframes. NDOG: Enable only on intraday. Max Gaps: 3-5 for clean charts, 10-15 for historical analysis. 📝 Important Notes Works best on 24/5 markets (Forex, Crypto). Gaps automatically close when filled. Event Horizon only appears with at least 2 non-overlapping gaps.
Penunjuk Pine Script®
oleh CDC_Trading_LABN
Spread Trading Z-ScoreIndicator: Z-Score Spread Indicator Description The "Z-Score Spread Indicator" is a powerful tool for traders employing mean-reversion strategies on the spread between two financial assets (e.g., futures contracts like MNQ and MES). This indicator calculates and plots the Z-score of the price spread, indicating how far the current spread deviates from its historical mean. It features customizable entry and exit thresholds with adjustable offsets, along with an estimated p-value displayed in a table to assess statistical significance. Key Features Asset Selection: Allows users to select two asset symbols (e.g., CME_MINI:MNQ1! and CME_MINI:MES1!) via customizable inputs. Z-Score Calculation: Computes the Z-score based on the spread’s simple moving average and standard deviation over a user-defined lookback period. Customizable Thresholds with Offset: Offers adjustable base entry and exit thresholds, with an optional offset to fine-tune trading levels, plotted as horizontal lines. P-Value Estimation: Provides an approximate p-value to evaluate the statistical significance of the Z-score, displayed in a table anchored to the top-left corner. Visual Representation: Plots the Z-score with a zero line and threshold lines for intuitive interpretation. Adjustable Parameters Asset A Symbol: Symbol for Asset A (default: CME_MINI:MNQ1!). Asset B Symbol: Symbol for Asset B (default: CME_MINI:MES1!). Z-Score Lookback: Lookback period for Z-score calculation (default: 40, minimum 2). Base Entry Threshold: Threshold for entry signals (default: 1.8, adjustable with a step of 0.1). Base Exit Threshold: Threshold for exit signals (default: 0.5, adjustable with a step of 0.1). Threshold Offset (+/-): Offset to adjust entry and exit thresholds symmetrically (default: 0.0, range -5.0 to 5.0, step 0.1). Usage Add the indicator to your chart via the "Indicators" tab. Customize the parameters based on your preferred assets and trading strategy (lookback period, thresholds, offset). Observe the Z-score plot and threshold lines (red for short entry, green for long entry, orange dotted for exits) to identify potential trade setups. Check the p-value table in the top-left corner to assess the statistical significance of the current Z-score. Use this data to inform mean-reversion trading decisions, ideally in conjunction with other indicators. Notes A Z-score above the entry threshold (positive) or below the negative entry threshold suggests a potential short or long entry, respectively. Exits are signaled when the Z-score crosses the exit thresholds. The p-value is an approximation based on the normal distribution; a value below 0.05 typically indicates statistical significance, but further validation is recommended. The indicator uses a simple spread (Asset A - Asset B) without volatility adjustments; consider pairing it with a lots calculator for hedging. Limitations The p-value is an approximation and may not reflect advanced statistical tests (e.g., ADF) due to Pine Script constraints. No automatic trading signals are generated; it provides data for manual analysis. Author Developed by grogusama, October 15, 2025, 07:29 PM CEST.
Penunjuk Pine Script®
oleh Grogusama
Historical Matrix Analyzer [PhenLabs]📊Historical Matrix Analyzer Version: PineScriptv6 📌Description The Historical Matrix Analyzer is an advanced probabilistic trading tool that transforms technical analysis into a data-driven decision support system. By creating a comprehensive 56-cell matrix that tracks every combination of RSI states and multi-indicator conditions, this indicator reveals which market patterns have historically led to profitable outcomes and which have not. At its core, the indicator continuously monitors seven distinct RSI states (ranging from Extreme Oversold to Extreme Overbought) and eight unique indicator combinations (MACD direction, volume levels, and price momentum). For each of these 56 possible market states, the system calculates average forward returns, win rates, and occurrence counts based on your configurable lookback period. The result is a color-coded probability matrix that shows you exactly where you stand in the historical performance landscape. The standout feature is the Current State Panel, which provides instant clarity on your active market conditions. This panel displays signal strength classifications (from Strong Bullish to Strong Bearish), the average return percentage for similar past occurrences, an estimated win rate using Bayesian smoothing to prevent small-sample distortions, and a confidence level indicator that warns you when insufficient data exists for reliable conclusions. 🚀Points of Innovation Multi-dimensional state classification combining 7 RSI levels with 8 indicator combinations for 56 unique trackable market conditions Bayesian win rate estimation with adjustable smoothing strength to provide stable probability estimates even with limited historical samples Real-time active cell highlighting with “NOW” marker that visually connects current market conditions to their historical performance data Configurable color intensity sensitivity allowing traders to adjust heat-map responsiveness from conservative to aggressive visual feedback Dual-panel display system separating the comprehensive statistics matrix from an easy-to-read current state summary panel Intelligent confidence scoring that automatically warns traders when occurrence counts fall below reliable thresholds 🔧Core Components RSI State Classification: Segments RSI readings into 7 distinct zones (Extreme Oversold <20, Oversold 20-30, Weak 30-40, Neutral 40-60, Strong 60-70, Overbought 70-80, Extreme Overbought >80) to capture momentum extremes and transitions Multi-Indicator Condition Tracking: Simultaneously monitors MACD crossover status (bullish/bearish), volume relative to moving average (high/low), and price direction (rising/falling) creating 8 binary-encoded combinations Historical Data Storage Arrays: Maintains rolling lookback windows storing RSI states, indicator states, prices, and bar indices for precise forward-return calculations Forward Performance Calculator: Measures price changes over configurable forward bar periods (1-20 bars) from each historical state, accumulating total returns and win counts per matrix cell Bayesian Smoothing Engine: Applies statistical prior assumptions (default 50% win rate) weighted by user-defined strength parameter to stabilize estimated win rates when sample sizes are small Dynamic Color Mapping System: Converts average returns into color-coded heat map with intensity adjusted by sensitivity parameter and transparency modified by confidence levels 🔥Key Features 56-Cell Probability Matrix: Comprehensive grid displaying every possible combination of RSI state and indicator condition, with each cell showing average return percentage, estimated win rate, and occurrence count for complete statistical visibility Current State Info Panel: Dedicated display showing your exact position in the matrix with signal strength emoji indicators, numerical statistics, and color-coded confidence warnings for immediate situational awareness Customizable Lookback Period: Adjustable historical window from 50 to 500 bars allowing traders to focus on recent market behavior or capture longer-term pattern stability across different market cycles Configurable Forward Performance Window: Select target holding periods from 1 to 20 bars ahead to align probability calculations with your trading timeframe, whether day trading or swing trading Visual Heat Mapping: Color-coded cells transition from red (bearish historical performance) through gray (neutral) to green (bullish performance) with intensity reflecting statistical significance and occurrence frequency Intelligent Data Filtering: Minimum occurrence threshold (1-10) removes unreliable patterns with insufficient historical samples, displaying gray warning colors for low-confidence cells Flexible Layout Options: Independent positioning of statistics matrix and info panel to any screen corner, accommodating different chart layouts and personal preferences Tooltip Details: Hover over any matrix cell to see full RSI label, complete indicator status description, precise average return, estimated win rate, and total occurrence count 🎨Visualization Statistics Matrix Table: A 9-column by 8-row grid with RSI states labeling vertical axis and indicator combinations on horizontal axis, using compact abbreviations (XOverS, OverB, MACD↑, Vol↓, P↑) for space efficiency Active Cell Indicator: The current market state cell displays “⦿ NOW ⦿” in yellow text with enhanced color saturation to immediately draw attention to relevant historical performance Signal Strength Visualization: Info panel uses emoji indicators (🔥 Strong Bullish, ✅ Bullish, ↗️ Weak Bullish, ➖ Neutral, ↘️ Weak Bearish, ⛔ Bearish, ❄️ Strong Bearish, ⚠️ Insufficient Data) for rapid interpretation Histogram Plot: Below the price chart, a green/red histogram displays the current cell’s average return percentage, providing a time-series view of how historical performance changes as market conditions evolve Color Intensity Scaling: Cell background transparency and saturation dynamically adjust based on both the magnitude of average returns and the occurrence count, ensuring visual emphasis on reliable patterns Confidence Level Display: Info panel bottom row shows “High Confidence” (green), “Medium Confidence” (orange), or “Low Confidence” (red) based on occurrence counts relative to minimum threshold multipliers 📖Usage Guidelines RSI Period Default: 14 Range: 1 to unlimited Description: Controls the lookback period for RSI momentum calculation. Standard 14-period provides widely-recognized overbought/oversold levels. Decrease for faster, more sensitive RSI reactions suitable for scalping. Increase (21, 28) for smoother, longer-term momentum assessment in swing trading. Changes affect how quickly the indicator moves between the 7 RSI state classifications. MACD Fast Length Default: 12 Range: 1 to unlimited Description: Sets the faster exponential moving average for MACD calculation. Standard 12-period setting works well for daily charts and captures short-term momentum shifts. Decreasing creates more responsive MACD crossovers but increases false signals. Increasing smooths out noise but delays signal generation, affecting the bullish/bearish indicator state classification. MACD Slow Length Default: 26 Range: 1 to unlimited Description: Defines the slower exponential moving average for MACD calculation. Traditional 26-period setting balances trend identification with responsiveness. Must be greater than Fast Length. Wider spread between fast and slow increases MACD sensitivity to trend changes, impacting the frequency of indicator state transitions in the matrix. MACD Signal Length Default: 9 Range: 1 to unlimited Description: Smoothing period for the MACD signal line that triggers bullish/bearish state changes. Standard 9-period provides reliable crossover signals. Shorter values create more frequent state changes and earlier signals but with more whipsaws. Longer values produce more confirmed, stable signals but with increased lag in detecting momentum shifts. Volume MA Period Default: 20 Range: 1 to unlimited Description: Lookback period for volume moving average used to classify volume as “high” or “low” in indicator state combinations. 20-period default captures typical monthly trading patterns. Shorter periods (10-15) make volume classification more reactive to recent spikes. Longer periods (30-50) require more sustained volume changes to trigger state classification shifts. Statistics Lookback Period Default: 200 Range: 50 to 500 Description: Number of historical bars used to calculate matrix statistics. 200 bars provides substantial data for reliable patterns while remaining responsive to regime changes. Lower values (50-100) emphasize recent market behavior and adapt quickly but may produce volatile statistics. Higher values (300-500) capture long-term patterns with stable statistics but slower adaptation to changing market dynamics. Forward Performance Bars Default: 5 Range: 1 to 20 Description: Number of bars ahead used to calculate forward returns from each historical state occurrence. 5-bar default suits intraday to short-term swing trading (5 hours on hourly charts, 1 week on daily charts). Lower values (1-3) target short-term momentum trades. Higher values (10-20) align with position trading and longer-term pattern exploitation. Color Intensity Sensitivity Default: 2.0 Range: 0.5 to 5.0, step 0.5 Description: Amplifies or dampens the color intensity response to average return magnitudes in the matrix heat map. 2.0 default provides balanced visual emphasis. Lower values (0.5-1.0) create subtle coloring requiring larger returns for full saturation, useful for volatile instruments. Higher values (3.0-5.0) produce vivid colors from smaller returns, highlighting subtle edges in range-bound markets. Minimum Occurrences for Coloring Default: 3 Range: 1 to 10 Description: Required minimum sample size before applying color-coded performance to matrix cells. Cells with fewer occurrences display gray “insufficient data” warning. 3-occurrence default filters out rare patterns. Lower threshold (1-2) shows more data but includes unreliable single-event statistics. Higher thresholds (5-10) ensure only well-established patterns receive visual emphasis. Table Position Default: top_right Options: top_left, top_right, bottom_left, bottom_right Description: Screen location for the 56-cell statistics matrix table. Position to avoid overlapping critical price action or other indicators on your chart. Consider chart orientation and candlestick density when selecting optimal placement. Show Current State Panel Default: true Options: true, false Description: Toggle visibility of the dedicated current state information panel. When enabled, displays signal strength, RSI value, indicator status, average return, estimated win rate, and confidence level for active market conditions. Disable to declutter charts when only the matrix table is needed. Info Panel Position Default: bottom_left Options: top_left, top_right, bottom_left, bottom_right Description: Screen location for the current state information panel (when enabled). Position independently from statistics matrix to optimize chart real estate. Typically placed opposite the matrix table for balanced visual layout. Win Rate Smoothing Strength Default: 5 Range: 1 to 20 Description: Controls Bayesian prior weighting for estimated win rate calculations. Acts as virtual sample size assuming 50% win rate baseline. Default 5 provides moderate smoothing preventing extreme win rate estimates from small samples. Lower values (1-3) reduce smoothing effect, allowing win rates to reflect raw data more directly. Higher values (10-20) increase conservatism, pulling win rate estimates toward 50% until substantial evidence accumulates. ✅Best Use Cases Pattern-based discretionary trading where you want historical confirmation before entering setups that “look good” based on current technical alignment Swing trading with holding periods matching your forward performance bar setting, using high-confidence bullish cells as entry filters Risk assessment and position sizing, allocating larger size to trades originating from cells with strong positive average returns and high estimated win rates Market regime identification by observing which RSI states and indicator combinations are currently producing the most reliable historical patterns Backtesting validation by comparing your manual strategy signals against the historical performance of the corresponding matrix cells Educational tool for developing intuition about which technical condition combinations have actually worked versus those that feel right but lack historical evidence ⚠️Limitations Historical patterns do not guarantee future performance, especially during unprecedented market events or regime changes not represented in the lookback period Small sample sizes (low occurrence counts) produce unreliable statistics despite Bayesian smoothing, requiring caution when acting on low-confidence cells Matrix statistics lag behind rapidly changing market conditions, as the lookback period must accumulate new state occurrences before updating performance data Forward return calculations use fixed bar periods that may not align with actual trade exit timing, support/resistance levels, or volatility-adjusted profit targets 💡What Makes This Unique Multi-Dimensional State Space: Unlike single-indicator tools, simultaneously tracks 56 distinct market condition combinations providing granular pattern resolution unavailable in traditional technical analysis Bayesian Statistical Rigor: Implements proper probabilistic smoothing to prevent overconfidence from limited data, a critical feature missing from most pattern recognition tools Real-Time Contextual Feedback: The “NOW” marker and dedicated info panel instantly connect current market conditions to their historical performance profile, eliminating guesswork Transparent Occurrence Counts: Displays sample sizes directly in each cell, allowing traders to judge statistical reliability themselves rather than hiding data quality issues Fully Customizable Analysis Window: Complete control over lookback depth and forward return horizons lets traders align the tool precisely with their trading timeframe and strategy requirements 🔬How It Works 1. State Classification and Encoding Each bar’s RSI value is evaluated and assigned to one of 7 discrete states based on threshold levels (0: <20, 1: 20-30, 2: 30-40, 3: 40-60, 4: 60-70, 5: 70-80, 6: >80) Simultaneously, three binary conditions are evaluated: MACD line position relative to signal line, current volume relative to its moving average, and current close relative to previous close These three binary conditions are combined into a single indicator state integer (0-7) using binary encoding, creating 8 possible indicator combinations The RSI state and indicator state are stored together, defining one of 56 possible market condition cells in the matrix 2. Historical Data Accumulation As each bar completes, the current state classification, closing price, and bar index are stored in rolling arrays maintained at the size specified by the lookback period When the arrays reach capacity, the oldest data point is removed and the newest added, creating a sliding historical window This continuous process builds a comprehensive database of past market conditions and their subsequent price movements 3. Forward Return Calculation and Statistics Update On each bar, the indicator looks back through the stored historical data to find bars where sufficient forward bars exist to measure outcomes For each historical occurrence, the price change from that bar to the bar N periods ahead (where N is the forward performance bars setting) is calculated as a percentage return This percentage return is added to the cumulative return total for the specific matrix cell corresponding to that historical bar’s state classification Occurrence counts are incremented, and wins are tallied for positive returns, building comprehensive statistics for each of the 56 cells The Bayesian smoothing formula combines these raw statistics with prior assumptions (neutral 50% win rate) weighted by the smoothing strength parameter to produce estimated win rates that remain stable even with small samples 💡Note: The Historical Matrix Analyzer is designed as a decision support tool, not a standalone trading system. Best results come from using it to validate discretionary trade ideas or filter systematic strategy signals. Always combine matrix insights with proper risk management, position sizing rules, and awareness of broader market context. The estimated win rate feature uses Bayesian statistics specifically to prevent false confidence from limited data, but no amount of smoothing can create reliable predictions from fundamentally insufficient sample sizes. Focus on high-confidence cells (green-colored confidence indicators) with occurrence counts well above your minimum threshold for the most actionable insights.
Penunjuk Pine Script®
oleh PhenLabs
1
Relative Performance Tracker [QuantAlgo]🟢 Overview The Relative Performance Tracker is a multi-asset comparison tool designed to monitor and rank up to 30 different tickers simultaneously based on their relative price performance. This indicator enables traders and investors to quickly identify market leaders and laggards across their watchlist, facilitating rotation strategies, strength-based trading decisions, and cross-asset momentum analysis. 🟢 Key Features 1. Multi-Asset Monitoring Track up to 30 tickers across any market (stocks, crypto, forex, commodities, indices) Individual enable/disable toggles for each ticker to customize your watchlist Universal compatibility with any TradingView symbol format (EXCHANGE:TICKER) 2. Ranking Tables (Up to 3 Tables) Each ticker's percentage change over your chosen lookback period, calculated as: (Current Price - Past Price) / Past Price × 100 Automatic sorting from strongest to weakest performers Rank: Position from 1-30 (1 = strongest performer) Ticker: Symbol name with color-coded background (green for gains, red for losses) % Change: Exact percentage with color intensity matching magnitude For example, Rank #1 has the highest gain among all enabled tickers, Rank #30 has the lowest (or most negative) return. 3. Histogram Visualization Adjustable bar count: Display anywhere from 1 to 30 top-ranked tickers (user customizable) Bar height = magnitude of percentage change. Bars extend upward for gains, downward for losses. Taller bars = larger moves. Green bars for positive returns, red for negative returns. 4. Customizable Color Schemes Classic: Traditional green/red for intuitive interpretation Aqua: Blue/orange combination for reduced eye strain Cosmic: Vibrant aqua/purple optimized for dark mode Custom: Full personalization of positive and negative colors 5. Built-In Ranking Alerts Six alert conditions detect when rankings change: Top 1 Changed: New #1 leader emerges Top 3/5/10/15/20 Changed: Shifts within those tiers 🟢 Practical Applications → Momentum Trading: Focus on top-ranked assets (Rank 1-10) that show strongest relative strength for trend-following strategies → Market Breadth Analysis: Monitor how many tickers are above vs. below zero on the histogram to gauge overall market health → Divergence Spotting: Identify when previously leading assets lose momentum (drop out of top ranks) as potential trend reversal signals → Multi-Timeframe Analysis: Use different lookback periods on different charts to align short-term and long-term relative strength → Customized Focus: Adjust histogram bars to show only top 5-10 strongest movers for concentrated analysis, or expand to 20-30 for comprehensive overview
Penunjuk Pine Script®
oleh QuantAlgo
2