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ค้นหาในสคริปต์สำหรับ "Pattern recognition"

Warrior Trading Momentum Strategy # 🚀 Warrior Trading Momentum Strategy - Day Trading Excellence ## Strategy Overview This comprehensive Pine Script strategy replicates the proven methodologies taught by Ross Cameron and the Warrior Trading community. Designed for active day traders, it identifies high-probability momentum setups with strict risk management protocols. ## 📈 Core Trading Setups ### 1. Gap and Go Trading - **Primary Focus**: Stocks gapping up 2%+ with volume confirmation - **Entry Logic**: Breakout above gap open with momentum validation - **Volume Filter**: 2x average volume requirement for quality setups ### 2. ABCD Pattern Recognition - **Pattern Detection**: Automated identification of classic ABCD reversal patterns - **Validation**: A-B and C-D move relationship analysis - **Entry Trigger**: D-point breakout with volume confirmation ### 3. VWAP Momentum Plays - **Strategy**: Entries near VWAP with bounce confirmation - **Distance Filter**: Configurable percentage distance for optimal entries - **Direction Bias**: Above VWAP bullish momentum validation ### 4. Red to Green Reversals - **Setup**: Reversal patterns after consecutive red candles - **Confirmation**: Volume spike with bullish close required - **Momentum**: Trend change validation with RSI support ### 5. Breakout Momentum - **Logic**: Breakouts above recent highs with volume - **Filters**: EMA20 and RSI confirmation for quality - **Trend**: Established momentum direction validation ## ⚡ Key Features ### Smart Risk Management - **Position Sizing**: Automatic calculation based on account risk percentage - **Stop Loss**: 2 ATR-based stops for volatility adjustment - **Take Profit**: Configurable risk-reward ratios (default 1:2) - **Trailing Stops**: Profit protection with adjustable triggers ### Advanced Filtering System - **Time Filters**: Market hours trading with lunch hour avoidance - **Volume Confirmation**: Multi-timeframe volume analysis - **Momentum Indicators**: RSI and moving average trend validation - **Quality Control**: Multiple confirmation layers for signal accuracy ### PDT-Friendly Design - **Trade Limiting**: Built-in daily trade counter for accounts under $25K - **Selective Trading**: Priority scoring system for A+ setups only - **Quality over Quantity**: Maximum 2-3 high-probability trades per day ## 🎯 Optimal Usage ### Best Timeframes - **Primary**: 5-minute charts for entry timing - **Secondary**: 1-minute for precise execution - **Context**: Daily charts for gap analysis ### Ideal Market Conditions - **Volatility**: High-volume, momentum-driven markets - **Stocks**: Market cap $100M+, average volume 1M+ shares - **Sectors**: Technology, biotech, growth stocks with news catalysts ### Account Requirements - **Minimum**: $500+ for proper position sizing - **Recommended**: $25K+ for unlimited day trading - **Risk Tolerance**: Active day trading experience preferred ## 📊 Performance Optimization ### Entry Criteria (All Must Align) 1. ✅ Time filter (market hours, avoid lunch) 2. ✅ Volume spike (2x+ average volume) 3. ✅ Momentum confirmation (RSI 50-80) 4. ✅ Trend alignment (above EMA20) 5. ✅ Pattern completion (setup-specific) ### Risk Parameters - **Maximum Risk**: 1-2% per trade - **Position Size**: 25% of account maximum - **Stop Loss**: 2 ATR below entry - **Take Profit**: 2:1 risk-reward minimum ## 🔧 Customization Options ### Gap Trading Settings - Minimum gap percentage threshold - Volume multiplier requirements - Gap validation criteria ### Pattern Recognition - ABCD ratio parameters - Swing point sensitivity - Pattern completion filters ### Risk Management - Risk-reward ratio adjustment - Maximum daily trade limits - Trailing stop trigger levels ### Time and Session Filters - Trading session customization - Lunch hour avoidance toggle - Market condition filters ## ⚠️ Important Disclaimers ### Risk Warning - **High Risk**: Day trading involves substantial risk of loss - **Capital Requirements**: Only trade with risk capital - **Experience**: Strategy requires active monitoring and experience - **Market Conditions**: Performance varies with market volatility ### PDT Considerations - **Day Trading Rules**: Accounts under $25K limited to 3 day trades per 5 days - **Compliance**: Strategy includes trade counting for PDT compliance - **Alternative**: Consider swing trading modifications for smaller accounts ### Backtesting vs Live Trading - **Slippage**: Real trading involves execution delays and slippage - **Commissions**: Factor in broker fees for accurate performance - **Market Impact**: Large positions may affect fill prices - **Psychological Factors**: Live trading involves emotional challenges ## 📚 Educational Value This strategy serves as an excellent learning tool for understanding: - Professional day trading methodologies - Risk management principles - Pattern recognition techniques - Volume and momentum analysis - Multi-timeframe analysis ## 🤝 Community and Support Based on proven Warrior Trading methodologies with active community support. Strategy includes comprehensive plotting and information tables for educational purposes and trade analysis. --- **Disclaimer**: This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. **Tags**: #DayTrading #Momentum #WarriorTrading #GapAndGo #ABCD #VWAP #PatternTrading #RiskManagement
กลยุทธ์ Pine Script®
โดย pgmqs42k5s
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE) ## Advanced Multi-Dimensional Mathematical Analysis System *Where Quantum Mathematics Meets Market Structure* --- ## 🎓 THEORETICAL FOUNDATION The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry. ### 🌊 Multi-Dimensional Volatility with Jump Detection **Hawkes Process Implementation:** The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects. **Mathematical Foundation:** ``` Intensity λ(t) = μ + Σ α(t - Tᵢ) ``` Where market jumps at times Tᵢ increase the probability of future jumps through the decay function α, controlled by the Hawkes Decay parameter (0.5-0.99). **Mahalanobis Distance Calculation:** The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions: - **Dimension 1:** Price volatility (standard deviation of returns) - **Dimension 2:** Volume volatility (normalized volume fluctuations) - **Dimension 3:** Range volatility (high-low spread variations) - **Dimension 4:** Correlation volatility (price-volume relationship changes) - **Dimension 5:** Microstructure volatility (intrabar positioning analysis) This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches. ### 📐 Hurst Exponent Regime Detection **Fractal Market Hypothesis Integration:** The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification: - **H > 0.6:** Trending (persistent) markets - momentum strategies optimal - **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal - **H ≈ 0.5:** Random walk markets - breakout strategies preferred **Adaptive R/S Analysis:** Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions: ``` H = log(R/S) / log(n) ``` Where R is the range of cumulative deviations and S is the standard deviation over period n. **Dynamic Regime Classification:** The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods. ### 🔄 Transfer Entropy Analysis **Information Flow Quantification:** Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements: ``` TE(X→Y) = Σ p(yₜ₊₁, yₜ, xₜ) log ``` **Causality Detection:** - **Volume → Price:** Indicates accumulation/distribution phases - **Price → Volume:** Suggests retail participation or momentum chasing - **Balanced Flow:** Market equilibrium or transition periods The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows. --- ## 🔧 COMPREHENSIVE INPUT SYSTEM ### Core Parameters Group **Primary Analysis Window (10-100, Default: 50)** The fundamental lookback period affecting all calculations. Optimization by timeframe: - **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements) - **15 minute-1 hour:** 30-50 (balanced responsiveness and stability) - **4 hour-daily:** 50-100 (smooth signals, reduced noise) - **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60 **Signal Sensitivity (0.1-2.0, Default: 0.7)** Master control affecting all threshold calculations: - **Conservative (0.3-0.6):** High-quality signals only, fewer false positives - **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles - **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering **Signal Generation Mode:** - **Aggressive:** Any component signals (highest frequency) - **Confluence:** 2+ components agree (balanced approach) - **Conservative:** All 3 components align (highest quality) ### Volatility Jump Detection Group **Volatility Dimensions (2-5, Default: 3)** Determines the mathematical space complexity: - **2D:** Price + Volume volatility (suitable for clean markets) - **3D:** + Range volatility (optimal for most conditions) - **4D:** + Correlation volatility (advanced multi-asset analysis) - **5D:** + Microstructure volatility (maximum sensitivity) **Jump Detection Threshold (1.5-4.0σ, Default: 3.0σ)** Standard deviations required for volatility jump classification: - **Cryptocurrency:** 2.0-2.5σ (naturally volatile) - **Stock Indices:** 2.5-3.0σ (moderate volatility) - **Forex Major Pairs:** 3.0-3.5σ (typically stable) - **Commodities:** 2.0-3.0σ (varies by commodity) **Jump Clustering Decay (0.5-0.99, Default: 0.85)** Hawkes process memory parameter: - **0.5-0.7:** Fast decay (jumps treated as independent) - **0.8-0.9:** Moderate clustering (realistic market behavior) - **0.95-0.99:** Strong clustering (crisis/event-driven markets) ### Hurst Exponent Analysis Group **Calculation Method Options:** - **Classic R/S:** Original Rescaled Range (fast, simple) - **Adaptive R/S:** Dynamic windowing (recommended for trading) - **DFA:** Detrended Fluctuation Analysis (best for noisy data) **Trending Threshold (0.55-0.8, Default: 0.60)** Hurst value defining persistent market behavior: - **0.55-0.60:** Weak trend persistence - **0.65-0.70:** Clear trending behavior - **0.75-0.80:** Strong momentum regimes **Mean Reversion Threshold (0.2-0.45, Default: 0.40)** Hurst value defining anti-persistent behavior: - **0.35-0.45:** Weak mean reversion - **0.25-0.35:** Clear ranging behavior - **0.15-0.25:** Strong reversion tendency ### Transfer Entropy Parameters Group **Information Flow Analysis:** - **Price-Volume:** Classic flow analysis for accumulation/distribution - **Price-Volatility:** Risk flow analysis for sentiment shifts - **Multi-Timeframe:** Cross-timeframe causality detection **Maximum Lag (2-20, Default: 5)** Causality detection window: - **2-5 bars:** Immediate causality (scalping) - **5-10 bars:** Short-term flow (day trading) - **10-20 bars:** Structural flow (swing trading) **Significance Threshold (0.05-0.3, Default: 0.15)** Minimum entropy for signal generation: - **0.05-0.10:** Detect subtle information flows - **0.10-0.20:** Clear causality only - **0.20-0.30:** Very strong flows only --- ## 🎨 ADVANCED VISUAL SYSTEM ### Tensor Volatility Field Visualization **Five-Layer Resonance Bands:** The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength: - **Core Layer (Purple):** Primary tensor field with highest intensity - **Layer 2 (Neutral):** Secondary mathematical resonance - **Layer 3 (Info Blue):** Tertiary harmonic frequencies - **Layer 4 (Warning Gold):** Outer field boundaries - **Layer 5 (Success Green):** Maximum field extension **Field Strength Calculation:** ``` Field Strength = min(3.0, Mahalanobis Distance × Tensor Intensity) ``` The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility. **Radiation Line Network:** During active tensor states, the system projects directional radiation lines showing field energy distribution: - **8 Directional Rays:** Complete angular coverage - **Tapering Segments:** Progressive transparency for natural visual flow - **Pulse Effects:** Enhanced visualization during volatility jumps ### Dimensional Portal System **Portal Mathematics:** Dimensional portals visualize regime transitions using category theory principles: - **Green Portals (◉):** Trending regime detection (appear below price for support) - **Red Portals (◎):** Mean-reverting regime (appear above price for resistance) - **Yellow Portals (○):** Random walk regime (neutral positioning) **Tensor Trail Effects:** Each portal generates 8 trailing particles showing mathematical momentum: - **Large Particles (●):** Strong mathematical signal - **Medium Particles (◦):** Moderate signal strength - **Small Particles (·):** Weak signal continuation - **Micro Particles (˙):** Signal dissipation ### Information Flow Streams **Particle Stream Visualization:** Transfer entropy creates flowing particle streams indicating information direction: - **Upward Streams:** Volume leading price (accumulation phases) - **Downward Streams:** Price leading volume (distribution phases) - **Stream Density:** Proportional to information flow strength **15-Particle Evolution:** Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent. ### Fractal Matrix Grid System **Multi-Timeframe Fractal Levels:** The system calculates and displays fractal highs/lows across five Fibonacci periods: - **8-Period:** Short-term fractal structure - **13-Period:** Intermediate-term patterns - **21-Period:** Primary swing levels - **34-Period:** Major structural levels - **55-Period:** Long-term fractal boundaries **Triple-Layer Visualization:** Each fractal level uses three-layer rendering: - **Shadow Layer:** Widest, darkest foundation (width 5) - **Glow Layer:** Medium white core line (width 3) - **Tensor Layer:** Dotted mathematical overlay (width 1) **Intelligent Labeling System:** Smart spacing prevents label overlap using ATR-based minimum distances. Labels include: - **Fractal Period:** Time-based identification - **Topological Class:** Mathematical complexity rating (0, I, II, III) - **Price Level:** Exact fractal price - **Mahalanobis Distance:** Current mathematical field strength - **Hurst Exponent:** Current regime classification - **Anomaly Indicators:** Visual strength representations (○ ◐ ● ⚡) ### Wick Pressure Analysis **Rejection Level Mathematics:** The system analyzes candle wick patterns to project future pressure zones: - **Upper Wick Analysis:** Identifies selling pressure and resistance zones - **Lower Wick Analysis:** Identifies buying pressure and support zones - **Pressure Projection:** Extends lines forward based on mathematical probability **Multi-Layer Glow Effects:** Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart. ### Enhanced Regime Background **Dynamic Intensity Mapping:** Background colors reflect mathematical regime strength: - **Deep Transparency (98% alpha):** Subtle regime indication - **Pulse Intensity:** Based on regime strength calculation - **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random) **Smoothing Integration:** Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts. ### Color Scheme System **Six Professional Themes:** - **Dark (Default):** Professional trading environment optimization - **Light:** High ambient light conditions - **Classic:** Traditional technical analysis appearance - **Neon:** High-contrast visibility for active trading - **Neutral:** Minimal distraction focus - **Bright:** Maximum visibility for complex setups Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences. --- ## 📊 INSTITUTIONAL-GRADE DASHBOARD ### Tensor Field Status Section **Field Strength Display:** Real-time Mahalanobis distance calculation with dynamic emoji indicators: - **⚡ (Lightning):** Extreme field strength (>1.5× threshold) - **● (Solid Circle):** Strong field activity (>1.0× threshold) - **○ (Open Circle):** Normal field state **Signal Quality Rating:** Democratic algorithm assessment: - **ELITE:** All 3 components aligned (highest probability) - **STRONG:** 2 components aligned (good probability) - **GOOD:** 1 component active (moderate probability) - **WEAK:** No clear component signals **Threshold and Anomaly Monitoring:** - **Threshold Display:** Current mathematical threshold setting - **Anomaly Level (0-100%):** Combined volatility and volume spike measurement - **>70%:** High anomaly (red warning) - **30-70%:** Moderate anomaly (orange caution) - **<30%:** Normal conditions (green confirmation) ### Tensor State Analysis Section **Mathematical State Classification:** - **↑ BULL (Tensor State +1):** Trending regime with bullish bias - **↓ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias - **◈ SUPER (Tensor State 0):** Random walk regime (neutral) **Visual State Gauge:** Five-circle progression showing tensor field polarity: - **🟢🟢🟢⚪⚪:** Strong bullish mathematical alignment - **⚪⚪🟡⚪⚪:** Neutral/transitional state - **⚪⚪🔴🔴🔴:** Strong bearish mathematical alignment **Trend Direction and Phase Analysis:** - **📈 BULL / 📉 BEAR / ➡️ NEUTRAL:** Primary trend classification - **🌪️ CHAOS:** Extreme information flow (>2.0 flow strength) - **⚡ ACTIVE:** Strong information flow (1.0-2.0 flow strength) - **😴 CALM:** Low information flow (<1.0 flow strength) ### Trading Signals Section **Real-Time Signal Status:** - **🟢 ACTIVE / ⚪ INACTIVE:** Long signal availability - **🔴 ACTIVE / ⚪ INACTIVE:** Short signal availability - **Components (X/3):** Active algorithmic components - **Mode Display:** Current signal generation mode **Signal Strength Visualization:** Color-coded component count: - **Green:** 3/3 components (maximum confidence) - **Aqua:** 2/3 components (good confidence) - **Orange:** 1/3 components (moderate confidence) - **Gray:** 0/3 components (no signals) ### Performance Metrics Section **Win Rate Monitoring:** Estimated win rates based on signal quality with emoji indicators: - **🔥 (Fire):** ≥60% estimated win rate - **👍 (Thumbs Up):** 45-59% estimated win rate - **⚠️ (Warning):** <45% estimated win rate **Mathematical Metrics:** - **Hurst Exponent:** Real-time fractal dimension (0.000-1.000) - **Information Flow:** Volume/price leading indicators - **📊 VOL:** Volume leading price (accumulation/distribution) - **💰 PRICE:** Price leading volume (momentum/speculation) - **➖ NONE:** Balanced information flow - **Volatility Classification:** - **🔥 HIGH:** Above 1.5× jump threshold - **📊 NORM:** Normal volatility range - **😴 LOW:** Below 0.5× jump threshold ### Market Structure Section (Large Dashboard) **Regime Classification:** - **📈 TREND:** Hurst >0.6, momentum strategies optimal - **🔄 REVERT:** Hurst <0.4, contrarian strategies optimal - **🎲 RANDOM:** Hurst ≈0.5, breakout strategies preferred **Mathematical Field Analysis:** - **Dimensions:** Current volatility space complexity (2D-5D) - **Hawkes λ (Lambda):** Self-exciting jump intensity (0.00-1.00) - **Jump Status:** 🚨 JUMP (active) / ✅ NORM (normal) ### Settings Summary Section (Large Dashboard) **Active Configuration Display:** - **Sensitivity:** Current master sensitivity setting - **Lookback:** Primary analysis window - **Theme:** Active color scheme - **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA) **Dashboard Sizing Options:** - **Small:** Essential metrics only (mobile/small screens) - **Normal:** Balanced information density (standard desktop) - **Large:** Maximum detail (multi-monitor setups) **Position Options:** - **Top Right:** Standard placement (avoids price action) - **Top Left:** Wide chart optimization - **Bottom Right:** Recent price focus (scalping) - **Bottom Left:** Maximum price visibility (swing trading) --- ## 🎯 SIGNAL GENERATION LOGIC ### Multi-Component Convergence System **Component Signal Architecture:** The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing: **Volatility Component:** - **Jump Detection:** Mahalanobis distance threshold breach - **Hawkes Intensity:** Self-exciting process activation (>0.2) - **Multi-dimensional:** Considers all volatility dimensions simultaneously **Hurst Regime Component:** - **Trending Markets:** Price above SMA-20 with positive momentum - **Mean-Reverting Markets:** Price at Bollinger Band extremes - **Random Markets:** Bollinger squeeze breakouts with directional confirmation **Transfer Entropy Component:** - **Volume Leadership:** Information flow from volume to price - **Volume Spike:** Volume 110%+ above 20-period average - **Flow Significance:** Above entropy threshold with directional bias ### Democratic Signal Weighting **Signal Mode Implementation:** - **Aggressive Mode:** Any single component triggers signal - **Confluence Mode:** Minimum 2 components must agree - **Conservative Mode:** All 3 components must align **Momentum Confirmation:** All signals require momentum confirmation: - **Long Signals:** RSI >50 AND price >EMA-9 - **Short Signals:** RSI <50 AND price 0.6):** - **Increase Sensitivity:** Catch momentum continuation - **Lower Mean Reversion Threshold:** Avoid counter-trend signals - **Emphasize Volume Leadership:** Institutional accumulation/distribution - **Tensor Field Focus:** Use expansion for trend continuation - **Signal Mode:** Aggressive or Confluence for trend following **Range-Bound Markets (Hurst <0.4):** - **Decrease Sensitivity:** Avoid false breakouts - **Lower Trending Threshold:** Quick regime recognition - **Focus on Price Leadership:** Retail sentiment extremes - **Fractal Grid Emphasis:** Support/resistance trading - **Signal Mode:** Conservative for high-probability reversals **Volatile Markets (High Jump Frequency):** - **Increase Hawkes Decay:** Recognize event clustering - **Higher Jump Threshold:** Avoid noise signals - **Maximum Dimensions:** Capture full volatility complexity - **Reduce Position Sizing:** Risk management adaptation - **Enhanced Visuals:** Maximum information for rapid decisions **Low Volatility Markets (Low Jump Frequency):** - **Decrease Jump Threshold:** Capture subtle movements - **Lower Hawkes Decay:** Treat moves as independent - **Reduce Dimensions:** Simplify analysis - **Increase Position Sizing:** Capitalize on compressed volatility - **Minimal Visuals:** Reduce distraction in quiet markets --- ## 🚀 ADVANCED TRADING STRATEGIES ### The Mathematical Convergence Method **Entry Protocol:** 1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels 2. **Tensor Field Confirmation:** Verify field expansion supporting direction 3. **Portal Signal:** Wait for dimensional portal appearance 4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals 5. **Component Consensus:** Confirm 2+ components agree in Confluence mode **Example Implementation:** - Price approaching 21-period fractal high - Tensor field expanding upward (bullish mathematical alignment) - Green portal appears below price (trending regime confirmation) - ELITE quality signal with 3/3 components active - Enter long position with stop below fractal level **Risk Management:** - **Stop Placement:** Below/above fractal level that generated signal - **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size) - **Profit Targets:** Next fractal level or tensor field resistance ### The Regime Transition Strategy **Regime Change Detection:** 1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds 2. **Portal Color Change:** Regime transitions show different portal colors 3. **Background Intensity:** Increasing regime background intensity 4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis) **Trading Implementation:** - **Trending Transitions:** Trade momentum breakouts, follow trend - **Mean Reversion Transitions:** Trade range boundaries, fade extremes - **Random Transitions:** Trade breakouts with tight stops **Advanced Techniques:** - **Multi-Timeframe:** Confirm regime on higher timeframe - **Early Entry:** Enter on regime transition rather than confirmation - **Regime Strength:** Larger positions during strong regime signals ### The Information Flow Momentum Strategy **Flow Detection Protocol:** 1. **Monitor Transfer Entropy:** Watch for significant information flow shifts 2. **Volume Leadership:** Strong edge when volume leads price 3. **Flow Acceleration:** Increasing flow strength indicates momentum 4. **Directional Confirmation:** Ensure flow aligns with intended trade direction **Entry Signals:** - **Volume → Price Flow:** Enter during accumulation/distribution phases - **Price → Volume Flow:** Enter on momentum confirmation breaks - **Flow Reversal:** Counter-trend entries when flow reverses **Optimization:** - **Scalping:** Use immediate flow detection (2-5 bar lag) - **Swing Trading:** Use structural flow (10-20 bar lag) - **Multi-Asset:** Compare flow between correlated assets ### The Tensor Field Expansion Strategy **Field Mathematics:** The tensor field expansion indicates mathematical pressure building in market structure: **Expansion Phases:** 1. **Compression:** Field contracts, volatility decreases 2. **Tension Building:** Mathematical pressure accumulates 3. **Expansion:** Field expands rapidly with directional movement 4. **Resolution:** Field stabilizes at new equilibrium **Trading Applications:** - **Compression Trading:** Prepare for breakout during field contraction - **Expansion Following:** Trade direction of field expansion - **Reversion Trading:** Fade extreme field expansion - **Multi-Dimensional:** Consider all field layers for confirmation ### The Hawkes Process Event Strategy **Self-Exciting Jump Trading:** Understanding that market shocks cluster and create follow-on opportunities: **Jump Sequence Analysis:** 1. **Initial Jump:** First volatility jump detected 2. **Clustering Phase:** Hawkes intensity remains elevated 3. **Follow-On Opportunities:** Additional jumps more likely 4. **Decay Period:** Intensity gradually decreases **Implementation:** - **Jump Confirmation:** Wait for mathematical jump confirmation - **Direction Assessment:** Use other components for direction - **Clustering Trades:** Trade subsequent moves during high intensity - **Decay Exit:** Exit positions as Hawkes intensity decays ### The Fractal Confluence System **Multi-Timeframe Fractal Analysis:** Combining fractal levels across different periods for high-probability zones: **Confluence Zones:** - **Double Confluence:** 2 fractal levels align - **Triple Confluence:** 3+ fractal levels cluster - **Mathematical Confirmation:** Tensor field supports the level - **Information Flow:** Transfer entropy confirms direction **Trading Protocol:** 1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR 2. **Mathematical Support:** Verify tensor field alignment 3. **Signal Quality:** Wait for STRONG or ELITE signal 4. **Risk Definition:** Use fractal level for stop placement 5. **Profit Targeting:** Next major fractal confluence zone --- ## ⚠️ COMPREHENSIVE RISK MANAGEMENT ### Mathematical Position Sizing **Mahalanobis Distance Integration:** Position size should inversely correlate with mathematical field strength: ``` Position Size = Base Size × (Threshold / Mahalanobis Distance) ``` **Risk Scaling Matrix:** - **Low Field Strength (<2.0):** Standard position sizing - **Moderate Field Strength (2.0-3.0):** 75% position sizing - **High Field Strength (3.0-4.0):** 50% position sizing - **Extreme Field Strength (>4.0):** 25% position sizing or no trade ### Signal Quality Risk Adjustment **Quality-Based Position Sizing:** - **ELITE Signals:** 100% of planned position size - **STRONG Signals:** 75% of planned position size - **GOOD Signals:** 50% of planned position size - **WEAK Signals:** No position or paper trading only **Component Agreement Scaling:** - **3/3 Components:** Full position size - **2/3 Components:** 75% position size - **1/3 Components:** 50% position size or skip trade ### Regime-Adaptive Risk Management **Trending Market Risk:** - **Wider Stops:** Allow for trend continuation - **Trend Following:** Trade with regime direction - **Higher Position Size:** Trend probability advantage - **Momentum Stops:** Trail stops based on momentum indicators **Mean-Reverting Market Risk:** - **Tighter Stops:** Quick exits on trend continuation - **Contrarian Positioning:** Trade against extremes - **Smaller Position Size:** Higher reversal failure rate - **Level-Based Stops:** Use fractal levels for stops **Random Market Risk:** - **Breakout Focus:** Trade only clear breakouts - **Tight Initial Stops:** Quick exit if breakout fails - **Reduced Frequency:** Skip marginal setups - **Range-Based Targets:** Profit targets at range boundaries ### Volatility-Adaptive Risk Controls **High Volatility Periods:** - **Reduced Position Size:** Account for wider price swings - **Wider Stops:** Avoid noise-based exits - **Lower Frequency:** Skip marginal setups - **Faster Exits:** Take profits more quickly **Low Volatility Periods:** - **Standard Position Size:** Normal risk parameters - **Tighter Stops:** Take advantage of compressed ranges - **Higher Frequency:** Trade more setups - **Extended Targets:** Allow for compressed volatility expansion ### Multi-Timeframe Risk Alignment **Higher Timeframe Trend:** - **With Trend:** Standard or increased position size - **Against Trend:** Reduced position size or skip - **Neutral Trend:** Standard position size with tight management **Risk Hierarchy:** 1. **Primary:** Current timeframe signal quality 2. **Secondary:** Higher timeframe trend alignment 3. **Tertiary:** Mathematical field strength 4. **Quaternary:** Market regime classification --- ## 📚 EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS ### Advanced Mathematical Concepts **Tensor Analysis in Markets:** The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture. **Information Theory Applications:** Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior. **Fractal Geometry in Trading:** The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure. **Stochastic Process Theory:** The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects. ### Learning Progressive Complexity **Beginner Mathematical Concepts:** - **Volatility Dimensions:** Understanding multi-dimensional analysis - **Regime Classification:** Learning market personality types - **Signal Democracy:** Algorithmic consensus building - **Visual Mathematics:** Interpreting mathematical concepts visually **Intermediate Mathematical Applications:** - **Mahalanobis Distance:** Statistical distance in multi-dimensional space - **Rescaled Range Analysis:** Fractal dimension measurement - **Information Entropy:** Quantifying uncertainty and causality - **Field Theory:** Understanding mathematical fields in market context **Advanced Mathematical Integration:** - **Tensor Field Dynamics:** Multi-dimensional market force analysis - **Stochastic Self-Excitation:** Event clustering and memory effects - **Categorical Composition:** Mathematical signal combination theory - **Topological Market Analysis:** Understanding market shape and connectivity ### Practical Mathematical Intuition **Developing Market Mathematics Intuition:** The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of: - **How markets exhibit mathematical structure beneath apparent randomness** - **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches** - **How information flows through markets in measurable, predictable ways** - **Why mathematical models provide probabilistic edges rather than certainties** --- ## 🔬 IMPLEMENTATION AND OPTIMIZATION ### Getting Started Protocol **Phase 1: Observation (Week 1)** 1. **Apply with defaults:** Use standard settings on your primary trading timeframe 2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams 3. **Monitor dashboard:** Observe how metrics change with market conditions 4. **No trading:** Focus entirely on pattern recognition and understanding **Phase 2: Pattern Recognition (Week 2-3)** 1. **Identify signal patterns:** Note what market conditions produce different signal qualities 2. **Regime correlation:** Observe how Hurst regimes affect signal performance 3. **Visual confirmation:** Learn to read tensor field expansion and portal signals 4. **Component analysis:** Understand which components drive signals in different markets **Phase 3: Parameter Optimization (Week 4-5)** 1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument 2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe 3. **Sensitivity adjustment:** Balance signal frequency with quality 4. **Visual customization:** Optimize colors and intensity for your trading environment **Phase 4: Live Implementation (Week 6+)** 1. **Paper trading:** Test signals with hypothetical trades 2. **Small position sizing:** Begin with minimal risk during learning phase 3. **Performance tracking:** Monitor actual vs. expected signal performance 4. **Continuous optimization:** Refine settings based on real performance data ### Performance Monitoring System **Signal Quality Tracking:** - **ELITE Signal Win Rate:** Track highest quality signals separately - **Component Performance:** Monitor which components provide best signals - **Regime Performance:** Analyze performance across different market regimes - **Timeframe Analysis:** Compare performance across different session times **Mathematical Metric Correlation:** - **Field Strength vs. Performance:** Higher field strength should correlate with better performance - **Component Agreement vs. Win Rate:** More component agreement should improve win rates - **Regime Alignment vs. Success:** Trading with mathematical regime should outperform ### Continuous Optimization Process **Monthly Review Protocol:** 1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown 2. **Parameter Assessment:** Evaluate if current settings remain optimal 3. **Market Adaptation:** Adjust for changes in market character or volatility 4. **Component Weighting:** Consider if certain components should receive more/less emphasis **Quarterly Deep Analysis:** 1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid 2. **Regime Distribution:** Analyze time spent in different market regimes 3. **Signal Evolution:** Track how signal characteristics change over time 4. **Correlation Analysis:** Monitor correlations between different mathematical components --- ## 🌟 UNIQUE INNOVATIONS AND CONTRIBUTIONS ### Revolutionary Mathematical Integration **First-Ever Implementations:** 1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility 2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes 3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation 4. **Democratic Component Voting:** First algorithmic consensus system for signal generation 5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels ### Advanced Visualization Innovations **Mathematical Visualization Breakthroughs:** - **Tensor Field Radiation:** Visual representation of mathematical field energy - **Dimensional Portal System:** Category theory visualization for regime transitions - **Information Flow Streams:** Real-time visual display of market information transfer - **Multi-Layer Fractal Grid:** Intelligent spacing and projection system - **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength ### Practical Trading Innovations **Trading System Advances:** - **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence - **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality - **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering - **Component Performance Tracking:** Real-time monitoring of algorithmic component success - **Field-Strength Position Sizing:** Mathematical volatility integration for risk management --- ## ⚖️ RESPONSIBLE USAGE AND LIMITATIONS ### Mathematical Model Limitations **Understanding Model Boundaries:** While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations: - **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements - **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely - **Model Risk:** Complex models can fail during unprecedented market conditions - **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions ### Proper Implementation Guidelines **Risk Management Requirements:** - **Never Risk More Than 2% Per Trade:** Regardless of signal quality - **Diversification Mandatory:** Don't rely solely on mathematical signals - **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence - **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters **Realistic Expectations:** - **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes - **Learning Curve Required:** Complex mathematical concepts require time to master - **Market Adaptation Necessary:** Parameters must evolve with changing market conditions - **Continuous Education Important:** Understanding underlying mathematics improves application ### Ethical Trading Considerations **Market Impact Awareness:** - **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants - **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure - **Sharing Knowledge:** Consider educational contributions to trading community - **Fair Market Participation:** Use mathematical advantages responsibly within market framework ### Professional Development Path **Skill Development Sequence:** 1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application 2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals 3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights 4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution --- ## 🔮 CONCLUSION The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability. ### Mathematical Innovation Legacy This indicator establishes new paradigms in technical analysis: - **Tensor analysis for market volatility understanding** - **Stochastic self-excitation for event clustering prediction** - **Information theory for causality-based trade generation** - **Democratic algorithmic consensus for signal quality enhancement** - **Mathematical field visualization for intuitive market understanding** ### Practical Trading Revolution Beyond mathematical innovation, the TMAE transforms practical trading: - **Quality-rated signals replace binary buy/sell decisions** - **Regime-adaptive strategies automatically optimize for market personality** - **Multi-dimensional risk management integrates mathematical volatility measures** - **Visual mathematical concepts make complex analysis immediately interpretable** - **Educational value creates lasting improvement in trading understanding** ### Future-Proof Design The mathematical foundations ensure lasting relevance: - **Universal mathematical principles transcend market evolution** - **Multi-dimensional analysis adapts to new market structures** - **Regime detection automatically adjusts to changing market personalities** - **Component democracy allows for future algorithmic additions** - **Mathematical visualization scales with increasing market complexity** ### Commitment to Excellence The TMAE represents more than an indicator—it embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value. ### Trading with Mathematical Precision In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals. By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics. ### Final Perspective Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure. Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior. Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE. *"In mathematics, you don't understand things. You just get used to them." - John von Neumann* *With the TMAE, mathematical market understanding becomes not just possible, but intuitive.* — Dskyz, Trade with insight. Trade with anticipation.
อินดิเคเตอร์ Pine Script®
โดย DskyzInvestments
17
Volume Profile & Smart Money Explorer🔍 Volume Profile & Smart Money Explorer: Decode Institutional Footprints Master the art of institutional trading with this sophisticated volume analysis tool. Track smart money movements, identify peak liquidity windows, and align your trades with major market participants. 🌟 Key Features: 📊 Triple-Layer Volume Analysis • Total Volume Patterns • Directional Volume Split (Up/Down) • Institutional Flow Detection • Real-time Smart Money Tracking • Historical Pattern Recognition ⚡ Smart Money Detection • Institutional Trade Identification • Large Block Order Tracking • Smart Money Concentration Periods • Whale Activity Alerts • Volume Threshold Analysis 📈 Advanced Profiling • Hourly Volume Distribution • Directional Bias Analysis • Liquidity Heat Maps • Volume Pattern Recognition • Custom Threshold Settings 🎯 Strategic Applications: Institutional Trading: • Track Big Player Movements • Identify Accumulation/Distribution • Follow Smart Money Flow • Detect Institutional Trading Windows • Monitor Block Orders Risk Management: • Identify High Liquidity Windows • Avoid Thin Market Periods • Optimize Position Sizing • Track Market Participation • Monitor Volume Quality Market Analysis: • Volume Pattern Recognition • Smart Money Flow Analysis • Liquidity Window Identification • Institutional Activity Cycles • Market Depth Analysis 💡 Perfect For: • Professional Traders • Volume Profile Traders • Institutional Traders • Risk Managers • Algorithmic Traders • Smart Money Followers • Day Traders • Swing Traders 📊 Key Metrics: • Normalized Volume Profiles • Institutional Thresholds • Directional Volume Split • Smart Money Concentration • Historical Patterns • Real-time Analysis ⚡ Trading Edge: • Trade with Institution Flow • Identify Optimal Entry Points • Recognize Distribution Patterns • Follow Smart Money Positioning • Avoid Thin Markets • Capitalize on Peak Liquidity 🎓 Educational Value: • Understand Market Structure • Learn Volume Analysis • Master Institutional Patterns • Develop Market Intuition • Track Smart Money Flow 🛠️ Customization: • Adjustable Time Windows • Flexible Volume Thresholds • Multiple Timeframe Analysis • Custom Alert Settings • Visual Preference Options Whether you're tracking institutional flows in crypto markets or following smart money in traditional markets, the Volume Profile & Smart Money Explorer provides the deep insights needed to trade alongside the biggest players. Transform your trading from retail guesswork to institutional precision. Know exactly when and where smart money moves, and position yourself ahead of major market shifts. #VolumeProfile #SmartMoney #InstitutionalTrading #MarketAnalysis #TradingView #VolumeAnalysis #CryptoTrading #ForexTrading #TechnicalAnalysis #Trading #PriceAction #MarketStructure #OrderFlow #Liquidity #RiskManagement #TradingStrategy #DayTrading #SwingTrading #AlgoTrading #QuantitativeTrading
อินดิเคเตอร์ Pine Script®
โดย sebamarghella
6
SMC Post-Analysis Lab [PhenLabs]📊 SMC Post-Analysis Lab Version: PineScript™ v6 📌 Description The SMC Post-Analysis Lab is a dedicated hindsight analysis tool built for traders who want to understand what really happened during any historical trading period. Unlike forward-looking indicators, this tool lets you scroll back through time and instantly receive algorithmic classification of market states using Smart Money Concepts methodology. Whether you’re reviewing a losing trade, studying a successful session, or building your pattern recognition skills, this indicator provides immediate context. The expansion-aware algorithm processes price action within your selected window and outputs clear, actionable classifications ranging from Parabolic Expansion to Consolidation Inducements. Stop relying on subjective post-trade analysis. Let the algorithm objectively tell you whether institutional players were accumulating, distributing, or running inducements during your trades. 🚀 Points of Innovation First indicator specifically designed for SMC-based post-trade review rather than live signal generation Dual-mode analysis system allowing both dynamic scrollback and precise date selection Expansion-aware classification algorithm that weighs range position against net displacement Real-time efficiency metrics calculating directional quality of price movement Integrated visual FVG detection within the analysis window only Interactive table with clickable date range adjustment via chart interface 🔧 Core Components Pivot Detection Engine: Uses configurable pivot length to identify significant swing highs and lows for structure break detection Window Calculator: Determines active analysis zone based on either bar offset or timestamp boundaries Data Aggregator: Tracks window open, high, low, close and counts bullish/bearish structure break events State Classification Algorithm: Applies hierarchical logic to determine market state from six possible classifications Visual Renderer: Draws structure breaks, FVG boxes, and window highlighting within the active zone 🔥 Key Features Sliding Window Mode: Use the Scroll Back slider to dynamically move your analysis zone backwards through history bar-by-bar Date Range Mode: Select specific start and end timestamps for precise session or trade review Six Market State Classifications: Parabolic Expansion (Bull/Bear), Bullish/Bearish Order Flow, Accumulation/Distribution Reversal, and Consolidation/Inducement Range Position Percentile: See exactly where price closed relative to the window’s high-low range as a percentage Bull/Bear Event Counter: Quantified count of structure breaks in each direction during the analysis period Efficiency Calculation: Net move divided by total range reveals trending quality versus chop 🎨 Visualization Blue Window Highlight: Active analysis zone is clearly marked with blue background shading on the chart Structure Break Lines: Dashed lines appear at each bullish or bearish structure break within the window FVG Boxes: Fair Value Gaps automatically render as semi-transparent boxes in bullish or bearish colors Dashboard Table: Top-right positioned table displays State, Analysis description, and Metrics in real-time Color-Coded States: Each classification uses distinct coloring for immediate visual recognition Interactive Tip Row: Optional help text guides users on clicking the table to adjust date range 📖 Usage Guidelines General Configuration Analysis Mode: Default is Sliding Window. Choose Date Range for specific timestamp analysis. Sliding Window Settings Scroll Back (Bars): Default 0. Increase to move window backwards into history. Window Width (Bars): Default 100. Range 20-50 for scalping, 100+ for swing analysis. Date Range Settings Start Date: Select the beginning timestamp for your analysis period. End Date: Select the ending timestamp for your analysis period. Visual Settings Show Help Tip: Default true. Toggle to hide instructional row in dashboard. Bullish Color: Default teal. Customize for bullish elements. Bearish Color: Default red. Customize for bearish elements. SMC Parameters Pivot Length: Default 5. Lower values (3-5) catch minor breaks. Higher values (10+) focus on major swings. ✅ Best Use Cases Post-trade review to understand why entries succeeded or failed Session analysis to identify institutional activity patterns Trade journaling with objective algorithmic classifications Pattern recognition training through historical scrollback Identifying whether stop hunts were inducements or legitimate breaks Comparing your real-time read versus what the algorithm detected ⚠️ Limitations Designed for historical analysis only, not live trade signals Classification accuracy depends on appropriate pivot length for the timeframe FVG detection uses simple gap logic without mitigation tracking State classification is based on window data only, not broader context Requires manual scrolling or date input to review different periods 💡 What Makes This Unique Purpose-Built for Review: Unlike most indicators focused on live signals, this is designed specifically for post-trade analysis Expansion-Aware Logic: Algorithm weighs both position in range AND directional efficiency for accurate state detection Interactive Date Control: Click the dashboard table to reveal draggable anchors for window adjustment directly on chart 🔬 How It Works 1. Window Definition: User selects either Sliding Window or Date Range mode System calculates which bars fall within the active analysis zone Active zone receives blue background highlighting 2. Data Collection: Algorithm captures window open, running high, running low, and current close Structure breaks are detected when price crosses above last pivot high or below last pivot low Bullish and bearish events are counted separately 3. State Classification: Range Position calculates where close sits as percentage of high-low range Efficiency calculates net move divided by total range Hierarchical logic applies priority rules from Parabolic states down to Consolidation 4. Output Rendering: Dashboard table updates with State title, Analysis description, and Metrics Visual elements render within window only to keep chart clean Colors reflect bullish, bearish, or neutral classification 💡 Note: This indicator is intended for educational and review purposes. Use it to develop your understanding of Smart Money Concepts by analyzing what institutional order flow looked like during historical periods. Combine insights with your own analysis methodology for best results.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
chart Pattern & Candle sticks Strategy# **XAUUSD Pattern & Candle Strategy - Complete Description** ## **Overview** This Pine Script indicator is a comprehensive multi-factor trading system specifically designed for **XAUUSD (Gold) scalping and swing trading**. It combines classical technical analysis methods including candlestick patterns, chart patterns, moving averages, and volume analysis to generate high-probability buy/sell signals with automatic stop-loss and take-profit levels. *** ## **Core Components** ### **1. Moving Average System (Triple MA)** **Purpose:** Identifies trend direction and momentum - **Fast MA (20-period)** - Short-term price action - **Medium MA (50-period)** - Intermediate trend - **Slow MA (200-period)** - Long-term trend direction **How it works:** - **Bullish alignment**: MA20 > MA50 > MA200 (all pointing up) - **Bearish alignment**: MA20 < MA50 < MA200 (all pointing down) - **Crossover signals**: When Fast MA crosses Medium MA, it triggers buy/sell signals - **Choice of SMA or EMA**: Adjustable based on preference **Visual indicators:** - Blue line = Fast MA - Orange line = Medium MA - Light red line = Slow MA - Green background tint = Bullish trend - Red background tint = Bearish trend --- ### **2. Candlestick Pattern Recognition (13 Patterns)** **Purpose:** Identifies reversal and continuation signals based on price action #### **Bullish Patterns (Signal potential upward moves):** 1. **Hammer** 🔨 - Long lower wick (2x body size) - Small body at top - Indicates rejection of lower prices (buyers stepping in) - Best at support levels 2. **Inverted Hammer** - Long upper wick - Small body at bottom - Shows buying pressure despite initial selling 3. **Bullish Engulfing** 📈 - Green candle completely engulfs previous red candle - Strong reversal signal - Body must be 1.2x larger than previous 4. **Morning Star** ⭐ - 3-candle pattern - Red candle → Small indecision candle → Large green candle - Powerful reversal at bottoms 5. **Piercing Line** ⚡ - Green candle closes above 50% of previous red candle - Indicates strong buying interest 6. **Bullish Marubozu** - Almost no wicks (95% body) - Very strong bullish momentum - Body must be 1.3x average size #### **Bearish Patterns (Signal potential downward moves):** 7. **Shooting Star** 💫 - Long upper wick - Small body at bottom - Indicates rejection of higher prices (sellers in control) - Best at resistance levels 8. **Hanging Man** - Similar to hammer but appears at top - Warning of potential reversal down 9. **Bearish Engulfing** 📉 - Red candle completely engulfs previous green candle - Strong reversal signal 10. **Evening Star** 🌙 - 3-candle pattern (opposite of Morning Star) - Green → Small → Large red candle - Powerful top reversal 11. **Dark Cloud Cover** ☁️ - Red candle closes below 50% of previous green candle - Indicates strong selling pressure 12. **Bearish Marubozu** - Almost no wicks, pure red body - Very strong bearish momentum #### **Neutral Pattern:** 13. **Doji** - Open and close nearly equal (tiny body) - Indicates indecision - Often precedes major moves **Detection Logic:** - Compares body size, wick ratios, and position relative to previous candles - Uses 14-period average body size as reference - All patterns validated against volume confirmation *** ### **3. Chart Pattern Recognition** **Purpose:** Identifies major support/resistance and reversal patterns #### **Patterns Detected:** **Double Bottom** 📊 (Bullish) - Two lows at approximately same level - Indicates strong support - Breakout above neckline triggers buy signal - Most reliable at major support zones **Double Top** 📊 (Bearish) - Two highs at approximately same level - Indicates strong resistance - Breakdown below neckline triggers sell signal - Most reliable at major resistance zones **Support & Resistance Levels** - Automatically plots recent pivot highs (resistance) - Automatically plots recent pivot lows (support) - Uses 3-bar strength for validation - Levels shown as dashed horizontal lines **Price Action Patterns** - **Uptrend detection**: Higher highs + higher lows - **Downtrend detection**: Lower highs + lower lows - Confirms overall market structure *** ### **4. Volume Analysis** **Purpose:** Confirms signal strength and filters false signals **Metrics tracked:** - **Volume MA (20-period)**: Baseline average volume - **High volume threshold**: 1.5x the volume average - **Volume increase**: Current volume > previous 2 bars **How it's used:** - All buy/sell signals **require volume confirmation** - High volume = institutional participation - Low volume signals are filtered out - Prevents whipsaw trades during quiet periods **Visual indicator:** - Dashboard shows "High" volume in orange when active - "Normal" shown in gray during low volume *** ### **5. Signal Generation Logic** **BUY SIGNALS triggered when ANY of these occur:** 1. **Candlestick + Volume** - Bullish candle pattern detected - High volume confirmation - Price above Fast MA 2. **MA Crossover + Volume** - Fast MA crosses above Medium MA - High volume confirmation 3. **Double Bottom Breakout** - Price breaks above support level - Volume confirmation present 4. **Trend Continuation** - Uptrend structure intact (higher highs/lows) - All MAs in bullish alignment - Price above Fast MA - Volume confirmation **SELL SIGNALS triggered when ANY of these occur:** 1. **Candlestick + Volume** - Bearish candle pattern detected - High volume confirmation - Price below Fast MA 2. **MA Crossunder + Volume** - Fast MA crosses below Medium MA - High volume confirmation 3. **Double Top Breakdown** - Price breaks below resistance level - Volume confirmation present 4. **Trend Continuation** - Downtrend structure intact (lower highs/lows) - All MAs in bearish alignment - Price below Fast MA - Volume confirmation *** ### **6. Risk Management System** **Automatic Stop Loss Calculation:** - Based on ATR (Average True Range) - 14 periods - **Formula**: Entry price ± (ATR × SL Multiplier) - **Default multiplier**: 1.5 (adjustable) - Adapts to market volatility automatically **Automatic Take Profit Calculation:** - **Formula**: Entry price ± (ATR × TP Multiplier) - **Default multiplier**: 2.5 (adjustable) - **Default Risk:Reward ratio**: 1:1.67 - Higher TP multiplier = more aggressive targets **Position Management:** - Tracks ONE position at a time (no pyramiding) - Automatically closes position when: - Stop loss is hit - Take profit is reached - Opposite MA crossover occurs - Prevents revenge trading and over-leveraging **Visual Representation:** - **Red horizontal line** = Stop Loss level - **Green horizontal line** = Take Profit level - Lines remain on chart while position is active - Automatically disappear when position closes *** ### **7. Visual Elements** **On-Chart Displays:** 1. **Moving Average Lines** - Fast MA (Blue, thick) - Medium MA (Orange, thick) - Slow MA (Red, thin) 2. **Support/Resistance** - Green crosses = Support levels - Red crosses = Resistance levels 3. **Buy/Sell Arrows** - Large GREEN "BUY" label below bars - Large RED "SELL" label above bars 4. **Pattern Labels** (Small markers) - "Hammer", "Bull Engulf", "Morning Star" (green, below bars) - "Shooting Star", "Bear Engulf", "Evening Star" (red, above bars) - "Double Bottom" / "Double Top" (blue/orange) 5. **Signal Detail Labels** (Medium size) - Shows signal reason (e.g., "Bullish Candle", "MA Cross Up") - Displays Entry, SL, and TP prices - Color-coded (green for long, red for short) 6. **Background Coloring** - Light green tint = Bullish MA alignment - Light red tint = Bearish MA alignment *** ### **8. Information Dashboard** **Top-right corner table showing:** | Metric | Description | |--------|-------------| | **Position** | Current trade status (LONG/SHORT/None) | | **MA Trend** | Overall trend direction (Bullish/Bearish/Neutral) | | **Volume** | Current volume status (High/Normal) | | **Pattern** | Last detected candlestick pattern | | **ATR** | Current volatility measurement | **Purpose:** - Quick at-a-glance market assessment - Real-time position tracking - No need to check multiple indicators *** ### **9. Alert System** **Complete alert coverage for:** ✅ **Entry Alerts** - "Buy Signal" - Triggers when buy conditions met - "Sell Signal" - Triggers when sell conditions met ✅ **Exit Alerts** - "Long TP Hit" - Take profit reached on long position - "Long SL Hit" - Stop loss triggered on long position - "Short TP Hit" - Take profit reached on short position - "Short SL Hit" - Stop loss triggered on short position **How to use:** 1. Click "Create Alert" button 2. Select desired alert from dropdown 3. Set notification method (popup, email, SMS, webhook) 4. Never miss a trade opportunity *** ## **Recommended Settings** ### **For Scalping (Quick trades):** - **Timeframe**: 5-minute - **Fast MA**: 9 - **Medium MA**: 21 - **Slow MA**: 50 - **SL Multiplier**: 1.0 - **TP Multiplier**: 2.0 - **Volume Threshold**: 1.5x ### **For Swing Trading (Longer holds):** - **Timeframe**: 1-hour or 4-hour - **Fast MA**: 20 - **Medium MA**: 50 - **Slow MA**: 200 - **SL Multiplier**: 2.0 - **TP Multiplier**: 3.0 - **Volume Threshold**: 1.3x ### **Best Trading Hours for XAUUSD:** - **Asian Session**: 00:00 - 08:00 GMT (lower volatility) - **London Session**: 08:00 - 16:00 GMT (high volatility) ⭐ - **New York Session**: 13:00 - 21:00 GMT (highest volume) ⭐ - **London-NY Overlap**: 13:00 - 16:00 GMT (BEST for scalping) 🔥 *** ## **How to Use This Strategy** ### **Step 1: Setup** 1. Open TradingView 2. Load XAUUSD chart 3. Select timeframe (5m, 15m, 1H, or 4H) 4. Add indicator from Pine Editor 5. Adjust settings based on your trading style ### **Step 2: Wait for Signals** - Watch for GREEN "BUY" or RED "SELL" labels - Check the signal reason in the detail label - Verify dashboard shows favorable conditions - Confirm volume is "High" (not required but preferred) ### **Step 3: Enter Trade** - Enter at market or limit order near signal price - Note the displayed Entry, SL, and TP prices - Set your broker's SL/TP to match indicator levels ### **Step 4: Manage Position** - Watch for SL/TP lines on chart - Monitor dashboard for trend changes - Exit manually if opposite MA crossover occurs - Let SL/TP do their job (don't move them!) ### **Step 5: Review & Learn** - Track win rate over 20+ trades - Adjust multipliers if needed - Note which patterns work best for you - Refine entry timing *** ## **Key Advantages** ✅ **Multi-confirmation approach** - Reduces false signals significantly ✅ **Automatic risk management** - No manual calculation needed ✅ **Adapts to volatility** - ATR-based SL/TP adjusts to market conditions ✅ **Volume filtered** - Ensures institutional participation ✅ **Visual clarity** - Easy to understand at a glance ✅ **Complete alert system** - Never miss opportunities ✅ **Pattern education** - Learn patterns as they appear ✅ **Works on all timeframes** - Scalping to swing trading *** ## **Limitations & Considerations** ⚠️ **Not a holy grail** - No strategy wins 100% of trades ⚠️ **Requires practice** - Demo trade first to understand signals ⚠️ **Market conditions matter** - Works best in trending or volatile markets ⚠️ **News events** - Avoid trading during major economic releases ⚠️ **Slippage on 5m** - Fast markets may have execution delays ⚠️ **Pattern subjectivity** - Some patterns may trigger differently than expected *** ## **Risk Management Rules** 1. **Never risk more than 1-2% per trade** 2. **Maximum 3 positions per day** (avoid overtrading) 3. **Don't trade during major news** (NFP, FOMC, etc.) 4. **Use proper position sizing** (0.01 lot per $100 for micro accounts) 5. **Keep trade journal** (track patterns, win rate, mistakes) 6. **Stop trading after 3 consecutive losses** (psychological reset) 7. **Don't move stop loss further away** (accept losses) 8. **Take partial profits** at 1:1 R:R if desired *** ## **Expected Performance** **Realistic expectations:** - **Win rate**: 50-65% (depending on market conditions and timeframe) - **Risk:Reward**: 1:1.67 default (adjustable to 1:2 or 1:3) - **Signals per day**: 3-8 on 5m, 1-3 on 1H - **Best months**: High volatility periods (news events, economic uncertainty) - **Drawdowns**: Expect 3-5 losing trades in a row occasionally *** ## **Customization Options** All inputs are adjustable in settings panel: **Moving Averages:** - Type (SMA or EMA) - All three period lengths **Volume:** - Volume MA length - High volume multiplier threshold **Chart Patterns:** - Pattern strength (bars for pivot detection) - Show/hide pattern labels **Risk Management:** - ATR period - Stop loss multiplier - Take profit multiplier **Display:** - Toggle pattern labels - Customize colors (in code) *** ## **Conclusion** This is a **professional-grade, multi-factor trading system** that combines the best of classical technical analysis with modern risk management. It's designed to give clear, actionable signals while automatically handling the complex calculations of stop loss and take profit levels. **Best suited for traders who:** - Understand basic technical analysis - Can follow rules consistently - Prefer systematic approach over gut feeling - Want visual confirmation before entering trades - Value proper risk management **Start with demo trading** for at least 20-30 trades to understand how the signals work in different market conditions. Once comfortable and profitable on demo, transition to live trading with minimal risk per trade. Happy trading! 📈🎯
อินดิเคเตอร์ Pine Script®
โดย puzzledBook68692
MTF Levels [OmegaTools]📖 Introduction The Ω Levels Indicator is a complete market structure and level-mapping framework designed to help traders identify key zones where price is likely to react. It blends classic technical anchors (VWAP, pivots, means, standard deviations) with modern statistical pattern recognition to dynamically project areas of manipulation, extension, and equilibrium. At its core, Ω Levels creates an evolving map of market balance vs. imbalance, showing traders where liquidity is most likely to build and where price could pivot or accelerate. But what makes it truly unique is the Pivot Forecaster — an embedded predictive engine that applies machine-learning inspired logic to recognize conditions that historically precede market turning points. 🔎 Key Features Customizable Levels Framework Define up to three levels (manipulation, extensions, VWAP, pivots, stdev bands, or prior extremes). Choose mean references such as Open, VWAP, Pivot Mean, or Previous Session Mean. Style controls (solid, dotted, dashed) and fill modes (internal, external, ranges) allow you to adapt the chart to your visual workflow. Dynamic Zone Highlighting Automatic fills between internal/external levels, or between specific level pairs (1–2, 1–3, 2–3). Makes it easy to visualize value areas, expansions, and compression zones at a glance. Multi-Timeframe Anchoring Works on any timeframe, but calculations can be anchored to a higher timeframe (e.g., show daily VWAP & pivots on a 15m chart). This allows traders to align intraday execution with higher timeframe context. Pivot Forecaster (Machine Learning / Pattern Recognition) This is the advanced predictive component. The algorithm collects historical conditions observed around pivot highs and lows (volume state, ATR state, % candle expansion, oscillator conditions). It then builds statistical “profiles” of typical pivot behavior and compares them in real-time against current market conditions. When conditions match the “signature” of a pivot, the indicator highlights a Forecast Pivot High or Forecast Pivot Low (displayed as small diamond markers). This functions as a pattern-recognition system, effectively learning from past pivots to anticipate where the next turning point is more likely to occur. ⚡ How Traders Can Use It Intraday Execution: Use VWAP, manipulation, and extension levels to frame trades around liquidity zones. Swing Context: Overlay higher timeframe pivots and means to guide medium-term positioning. Fade Setups: Forecasted pivots often coincide with exhaustion zones where fading momentum carries edge. Breakout Validation: When price breaks a structural level but the forecaster does not confirm a pivot, continuation probability is higher. Risk Management: Levels provide natural stop/target placements, while pivot forecasts serve as warning signals for potential reversals. ⚙️ Settings Overview Timeframe: Choose the anchor timeframe for calculations (default: Daily). Means: Two selectable mean references (Open, VWAP, Pivot Point, Previous Mean). Levels: Three levels can be customized (Manipulation, Extension, 1–2 StDev, Pivot Point, VWAP, Previous Extremes). Fill Modes: Highlight zones between internal/external levels or custom ranges. Visual Customization: Colors, line styles, fill opacity, and toggle for old levels. Pivot Forecaster: Fully automated — no settings required, it adapts to instrument and timeframe. 🧭 Best Practices Align Levels With Market Profile: Treat the levels as dynamic S/R zones and watch how price interacts with them. Use Forecaster as Confirmation: The diamonds are not standalone signals; they are context filters that help you decide whether a move has higher reversal odds. Higher Timeframe Anchoring: On intraday charts, set the timeframe to Daily or Weekly to trade with institutional levels. Combine With ATR: Pair with the Ω ATR Indicator to size positions according to volatility while Ω Levels provides the structural roadmap. 📌 Summary The Ω Levels Indicator is more than a level plotter — it’s a market map + predictive engine. By combining traditional levels with an intelligent pivot forecaster, it gives traders both the static structure of where price should react, and the dynamic signal of where it is likely to react next. This dual-layer approach — structural + predictive — makes it an invaluable tool for discretionary intraday traders, swing traders, and anyone who wants to anticipate price behavior instead of just reacting to it.
อินดิเคเตอร์ Pine Script®
โดย OmegaTools
Smart Money Precision Structure [BullByte]Smart Money Precision Structure Advanced Market Structure Analysis Using Institutional Order Flow Concepts --- OVERVIEW Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis. --- PURPOSE AND ORIGINALITY Why This Indicator Was Developed • Addresses the gap between retail and institutional analysis methods • Consolidates multiple analysis techniques that professionals use separately • Automates complex market structure evaluation into actionable insights • Eliminates the need for multiple indicators by providing comprehensive analysis What Makes SMPS Original • Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering • Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns • Adaptive Intelligence - Parameters automatically adjust based on detected market conditions • Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100% • Structure Break Detection - Advanced pivot analysis identifies trend reversals early --- HOW IT WORKS - TECHNICAL METHODOLOGY 1. Market Regime Analysis Engine The indicator evaluates five core market dimensions: • Volatility Score - Measures current volatility against 50-period historical baseline • Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs • Momentum Score - Combines RSI divergence with MACD signal alignment • Structure Score - Evaluates pivot point formation clarity • Efficiency Score - Calculates directional movement efficiency ratio These scores combine to classify markets into five regimes: • TRENDING - Strong directional movement with aligned indicators • RANGING - Sideways movement with mixed directional signals • VOLATILE - Elevated volatility with unpredictable price swings • QUIET - Low volatility consolidation periods • TRANSITIONAL - Market shifting between different regimes 2. Market Structure Analysis Advanced pivot point analysis identifies: • Higher Highs and Higher Lows for bullish structure • Lower Highs and Lower Lows for bearish structure • Structure breaks when established patterns fail • Dynamic support and resistance from recent pivot points • Key level proximity detection using ATR-based buffers 3. Volume Flow Decoding Institutional activity detection through: • Volume surge identification when volume exceeds 2x average • Buy versus sell pressure analysis using price-volume correlation • Flow strength measurement through directional volume consistency • Divergence detection between volume and price movements • Institutional threshold alerts when unusual volume patterns emerge 4. Multi-Period Momentum Synthesis Weighted momentum calculation across four timeframes: • 1-period momentum weighted at 40% • 3-period momentum weighted at 30% • 5-period momentum weighted at 20% • 8-period momentum weighted at 10% Result smoothed with 6-period EMA for noise reduction. 5. Price Action Quality Assessment Each bar evaluated for: • Range quality relative to 20-period average • Body-to-range ratio for directional conviction • Wick analysis for rejection pattern identification • Pattern recognition including engulfing and hammer formations • Sequential price movement analysis 6. Adaptive Parameter System Parameters automatically adjust based on detected regime: • Trending markets reduce sensitivity and confirmation requirements • Volatile markets increase filtering and require additional confirmations • Ranging markets maintain neutral settings • Transitional markets use moderate adjustments --- COMPLETE SETTINGS GUIDE Section 1: Core Analysis Settings Analysis Sensitivity (0.3-2.0) • Default: 1.0 • Lower values require stronger price movements • Higher values detect more subtle patterns • Scalpers use 0.8-1.2, swing traders use 1.5-2.0 Noise Reduction Level (2-7) • Default: 4 • Controls filtering of false patterns • Higher values reduce pattern frequency • Increase in volatile markets Minimum Move % (0.05-0.50) • Default: 0.15% • Sets minimum price movement threshold • Adjust based on instrument volatility • Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50% High Confirmation Mode • Default: True (Enabled) • Requires all technical conditions to align • Reduces frequency but increases reliability • Disable for more aggressive pattern detection Section 2: Market Regime Detection Enable Regime Analysis • Default: True (Enabled) • Activates market environment evaluation • Essential for adaptive features • Keep enabled for best results Regime Analysis Period (20-100) • Default: 50 bars • Determines regime calculation lookback • Shorter for responsive, longer for stable • Scalping: 20-30, Swing: 75-100 Minimum Market Clarity (0.2-0.8) • Default: 0.4 • Quality threshold for pattern generation • Higher values require clearer conditions • Lower for more patterns, higher for quality Adaptive Parameter Adjustment • Default: True (Enabled) • Enables automatic parameter optimization • Adjusts based on market regime • Highly recommended to keep enabled Section 3: Market Structure Analysis Enable Structure Validation • Default: True (Enabled) • Validates patterns against support/resistance • Confirms trend structure alignment • Essential for reliability Structure Analysis Period (15-50) • Default: 30 bars • Period for structure pattern analysis • Affects support/resistance calculation • Match to your trading timeframe Minimum Structure Alignment (0.3-0.8) • Default: 0.5 • Required structure score for valid patterns • Higher values need stronger structure • Balance with desired frequency Section 4: Analysis Configuration Minimum Strength Level (3-5) • Default: 4 • Minimum confirmations for pattern display • 5 = Maximum reliability, 3 = More patterns • Beginners should use 4-5 Required Technical Confirmations (4-6) • Default: 5 • Number of aligned technical factors • Higher = fewer but better patterns • Works with High Confirmation Mode Pattern Separation (3-20 bars) • Default: 8 bars • Minimum bars between patterns • Prevents clustering and overtrading • Increase for cleaner charts Section 5: Technical Filters Momentum Validation • Default: True (Enabled) • Requires momentum alignment • Filters counter-trend patterns • Essential for trend following Volume Confluence Analysis • Default: True (Enabled) • Requires volume confirmation • Identifies institutional participation • Critical for reliability Trend Direction Filter • Default: True (Enabled) • Only shows patterns with trend • Reduces counter-trend signals • Disable for reversal hunting Section 6: Volume Flow Analysis Institutional Activity Threshold (1.2-3.5) • Default: 2.0 • Multiplier for unusual volume detection • Lower finds more institutional activity • Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5 Volume Surge Multiplier (1.8-4.5) • Default: 2.5 • Defines significant volume increases • Adjust per instrument characteristics • Higher for stocks, lower for forex Volume Flow Period (12-35) • Default: 18 bars • Smoothing for volume analysis • Shorter = responsive, longer = smooth • Match to timeframe used Section 7: Analysis Frequency Control Maximum Analysis Points Per Hour (1-5) • Default: 3 • Limits pattern frequency • Prevents overtrading • Scalpers: 4-5, Swing traders: 1-2 Section 8: Target Level Configuration Target Calculation Method • Default: Market Adaptive • Three modes available: - Fixed: Uses set point distances - Dynamic: ATR-based calculations - Market Adaptive: Structure-based levels Minimum Target/Risk Ratio (1.0-3.0) • Default: 1.5 • Minimum acceptable reward vs risk • Higher filters lower probability setups • Professional standard: 1.5-2.0 Fixed Mode Settings: • Fixed Target Distance: 50 points default • Fixed Invalidation Distance: 30 points default • Use for consistent instruments Dynamic Mode Settings: • Dynamic Target Multiplier: 1.8x ATR default • Dynamic Invalidation Multiplier: 1.0x ATR default • Adapts to volatility automatically Market Adaptive Settings: • Use Structure Levels: True (default) • Structure Level Buffer: 0.1% default • Places levels at actual support/resistance Section 9: Visual Display Settings Color Theme Options • Professional (Teal/Red) - Bullish: Teal (#26a69a) - Bearish: Red (#ef5350) - Neutral: Gray (#78909c) - Best for: Traditional traders, clean appearance • Dark (Neon Green/Pink) - Bullish: Neon Green (#00ff88) - Bearish: Hot Pink (#ff0044) - Neutral: Dark Gray (#333333) - Best for: Dark theme users, high contrast • Light (Green/Red Classic) - Bullish: Green (#4caf50) - Bearish: Red (#f44336) - Neutral: Light Gray (#9e9e9e) - Best for: Light backgrounds, traditional colors • Vibrant (Cyan/Magenta) - Bullish: Cyan (#00ffff) - Bearish: Magenta (#ff00ff) - Neutral: Medium Gray (#888888) - Best for: High visibility, modern appearance Dashboard Position • Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right • Default: Top Right • Choose based on chart layout preference Dashboard Size • Full: Complete information display (desktop) • Mobile: Compact view for small screens • Default: Full Analysis Display Style • Arrows : Simple directional markers • Labels : Detailed text information • Zones : Colored areas showing pattern regions • Default: Labels (most informative) Display Options: • Display Analysis Strength: Shows star rating • Display Target Levels: Shows target/invalidation lines • Display Market Regime: Shows regime in pattern labels --- HOW TO USE SMPS - DETAILED GUIDE Understanding the Dashboard Top Row - Header • SMPS Dashboard title • VALUE column: Current readings • STATUS column: Condition assessments Market Regime Row • Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL • Color coding: Green = Favorable, Red = Caution • Status: FAVORABLE or CAUTION trading conditions Market Score Row • Percentage from 0-100% • Above 60% = Strong conditions • 40-60% = Moderate conditions • Below 40% = Weak conditions Structure Row • Direction: BULLISH, BEARISH, or NEUTRAL • Status: INTACT or BREAK • Orange BREAK indicates structure failure Volume Flow Row • Direction: BUYING or SELLING • Intensity: STRONG or WEAK • Color indicates dominant pressure Momentum Row • Numerical momentum value • Positive = Upward pressure • Negative = Downward pressure Volume Status Row • INST = Institutional activity detected • HIGH = Above average volume • NORM = Normal volume levels Adaptive Mode Row • ACTIVE = Parameters adjusting • STATIC = Fixed parameters • Shows required confirmations Analysis Level Row • Minimum strength level setting • Pattern separation in bars Market State Row • Current analysis: BULLISH, BEARISH, NEUTRAL • Shows analysis price level when active T:R Ratio Row • Current target to risk ratio • GOOD = Meets minimum requirement • LOW = Below minimum threshold Strength Row • BULL or BEAR dominance • Numerical strength value 0-100 Price Row • Current price • Percentage change Last Analysis Row • Previous pattern direction • Bars since last pattern Reading Pattern Signals Bullish Structure Pattern • Upward triangle or "Bullish Structure" label • Star rating shows strength (★★★★★ = strongest) • Green line = potential target level • Red dashed line = invalidation level • Appears below price bars Bearish Structure Pattern • Downward triangle or "Bearish Structure" label • Star rating indicates reliability • Green line = potential target level • Red dashed line = invalidation level • Appears above price bars Pattern Strength Interpretation • ★★★★★ = 6 confirmations (exceptional) • ★★★★☆ = 5 confirmations (strong) • ★★★☆☆ = 4 confirmations (moderate) • ★★☆☆☆ = 3 confirmations (minimum) • Below minimum = filtered out Visual Elements on Chart Lines and Levels: • Gray Line = 21 EMA trend reference • Green Stepline = Dynamic support level • Red Stepline = Dynamic resistance level • Green Solid Line = Active target level • Red Dashed Line = Active invalidation level Pattern Markers: • Triangles = Arrow display mode • Text Labels = Label display mode • Colored Boxes = Zone display mode Target Completion Labels: • "Target" = Price reached target level • "Invalid" = Pattern invalidated by price --- RECOMMENDED USAGE BY TIMEFRAME 1-Minute Charts (Scalping) • Sensitivity: 0.8-1.2 • Noise Reduction: 3-4 • Pattern Separation: 3-5 bars • High Confirmation: Optional • Best for: Quick intraday moves 5-Minute Charts (Precision Intraday) • Sensitivity: 1.0 (default) • Noise Reduction: 4 (default) • Pattern Separation: 8 bars • High Confirmation: Enabled • Best for: Day trading 15-Minute Charts (Short Swing) • Sensitivity: 1.0-1.5 • Noise Reduction: 4-5 • Pattern Separation: 10-12 bars • High Confirmation: Enabled • Best for: Intraday swings 30-Minute to 1-Hour (Position Trading) • Sensitivity: 1.5-2.0 • Noise Reduction: 5-7 • Pattern Separation: 15-20 bars • Regime Period: 75-100 • Best for: Multi-day positions Daily Charts (Swing Trading) • Sensitivity: 1.8-2.0 • Noise Reduction: 6-7 • Pattern Separation: 20 bars • All filters enabled • Best for: Long-term analysis --- MARKET-SPECIFIC SETTINGS Forex Pairs • Minimum Move: 0.05-0.10% • Institutional Threshold: 1.5-2.0 • Volume Surge: 1.8-2.2 • Target Mode: Dynamic or Market Adaptive Stock Indices (ES, NQ, YM) • Minimum Move: 0.10-0.15% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.0 • Target Mode: Market Adaptive Individual Stocks • Minimum Move: 0.15-0.25% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.5 • Target Mode: Dynamic Cryptocurrency • Minimum Move: 0.20-0.50% • Institutional Threshold: 2.5-3.5 • Volume Surge: 3.0-4.5 • Target Mode: Dynamic • Increase noise reduction --- PRACTICAL APPLICATION EXAMPLES Example 1: Strong Trending Market Dashboard Reading: • Market Regime: TRENDING • Market Score: 75% • Structure: BULLISH, INTACT • Volume Flow: BUYING, STRONG • Momentum: +0.45 Interpretation: • Strong uptrend environment • Institutional buying present • Look for bullish patterns as continuation • Higher probability of success • Consider using lower sensitivity Example 2: Range-Bound Conditions Dashboard Reading: • Market Regime: RANGING • Market Score: 35% • Structure: NEUTRAL • Volume Flow: SELLING, WEAK • Momentum: -0.05 Interpretation: • No clear direction • Low opportunity environment • Patterns are less reliable • Consider waiting for regime change • Or switch to a range-trading approach Example 3: Structure Break Alert Dashboard Reading: • Previous: BULLISH structure • Current: Structure BREAK • Volume: INST flag active • Momentum: Shifting negative Interpretation: • Trend reversal potentially beginning • Institutional participation detected • Watch for bearish pattern confirmation • Adjust bias accordingly • Increase caution on long positions Example 4: Volatile Market Dashboard Reading: • Market Regime: VOLATILE • Market Score: 45% • Adaptive Mode: ACTIVE • Confirmations: Increased to 6 Interpretation: • Choppy conditions • Parameters auto-adjusted • Fewer but higher quality patterns • Wider stops may be needed • Consider reducing position size Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action. • Example 1 – Bullish Structure Detection on SOLUSD 5m • Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m --- TROUBLESHOOTING GUIDE No Patterns Appearing Check these settings: • High Confirmation Mode may be too restrictive • Minimum Strength Level may be too high • Market Clarity threshold may be too high • Regime filter may be blocking patterns • Try increasing sensitivity Too Many Patterns Adjust these settings: • Enable High Confirmation Mode • Increase Minimum Strength Level to 5 • Increase Pattern Separation • Reduce Sensitivity below 1.0 • Enable all technical filters Dashboard Shows "CAUTION" This indicates: • Market conditions are unfavorable • Regime is RANGING or QUIET • Market score is low • Consider waiting for better conditions • Or adjust expectations accordingly Patterns Not Reaching Targets Consider: • Market may be choppy • Volatility may have changed • Try Dynamic target mode • Reduce target/risk ratio requirement • Check if regime is VOLATILE --- ALERTS CONFIGURATION Alert Message Format Alerts include: • Pattern type (Bullish/Bearish) • Strength rating • Market regime • Analysis price level • Target and invalidation levels • Strength percentage • Target/Risk ratio • Educational disclaimer Setting Up Alerts • Click Alert button on TradingView • Select SMPS indicator • Choose alert frequency • Customize message if desired • Alerts fire on pattern detection --- DATA WINDOW INFORMATION The Data Window displays: • Market Regime Score (0-100) • Market Structure Bias (-1 to +1) • Bullish Strength (0-100) • Bearish Strength (0-100) • Bull Target/Risk Ratio • Bear Target/Risk Ratio • Relative Volume • Momentum Value • Volume Flow Strength • Bull Confirmations Count • Bear Confirmations Count --- BEST PRACTICES AND TIPS For Beginners • Start with default settings • Use High Confirmation Mode • Focus on TRENDING regime only • Paper trade first • Learn one timeframe thoroughly For Intermediate Users • Experiment with sensitivity settings • Try different target modes • Use multiple timeframes • Combine with price action analysis • Track pattern success rate For Advanced Users • Customize per instrument • Create setting templates • Use regime information for bias • Combine with other indicators • Develop systematic rules --- IMPORTANT DISCLAIMERS • This indicator is for educational and informational purposes only • Not financial advice or a trading system • Past performance does not guarantee future results • Trading involves substantial risk of loss • Always use appropriate risk management • Verify patterns with additional analysis • The author is not a registered investment advisor • No liability accepted for trading losses --- VERSION NOTES Version 1.0.0 - Initial Release • Six-layer confluence system • Adaptive parameter technology • Institutional volume detection • Market regime classification • Structure break identification • Real-time dashboard • Multiple display modes • Comprehensive settings ## My Final Thoughts Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve. The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system. - BullByte
อินดิเคเตอร์ Pine Script®
โดย BullByte
6
Pattern Detector [theUltimator5]🎯 Overview The Pattern Detector is a comprehensive technical analysis indicator that automatically identifies and visualizes multiple pattern types on your charts. Built with advanced ZigZag technology and sophisticated pattern recognition algorithms, this tool helps traders spot high-probability trading opportunities across all timeframes and markets. ✨ Key Features 🔍 Multi-Pattern Detection System Harmonic Patterns: Butterfly, Gartley, Bat, and Crab patterns with precise Fibonacci ratios Classic Reversal Patterns: Head & Shoulders and Inverse Head & Shoulders Double Patterns: Double Tops and Double Bottoms with extreme validation Wedge Patterns: Rising and Falling Wedges with volume confirmation 📊 Advanced ZigZag Engine Customizable sensitivity (5-50 levels) Depth multiplier for multi-timeframe analysis Real-time pivot detection with noise filtering Option to display ZigZag lines only for pure price action analysis 🎨 Visualization Clean pattern lines with distinct color coding Point labeling system (X, A, B, C, D for harmonics / LS, H, RS for H&S) Pattern name displays with bullish/bearish direction Price target projections with arrow indicators Subtle pattern fills for enhanced visibility 🛠️ Settings & Configuration Core ZigZag Settings ZigZag Sensitivity (5-50): Controls pattern detection sensitivity. Lower values detect more patterns but may include noise. Higher values focus on major swings only. ZigZag Depth Multiplier (1-5): Multiplies sensitivity for deeper analysis. Level 1 = most responsive, Level 5 = major swings only. Pattern Detection Toggles Show ZigZag Lines Only: Displays pure ZigZag without pattern detection for price structure analysis Detect Harmonic Patterns: Enable/disable Fibonacci-based harmonic pattern detection Detect Head & Shoulders: Toggle classic reversal pattern identification Detect Double Tops/Bottoms: Enable double pattern detection with extreme validation Detect Wedge Patterns: Toggle wedge pattern detection with volume confirmation Display Options Show Pattern Names: Display pattern names directly on chart (e.g., "Butterfly (Bullish)") Show Point Labels: Add lettered labels at key pattern points for structure identification Project Harmonic Targets: Show projected completion points for incomplete harmonic patterns 📈 Pattern Types Explained Harmonic Patterns 🦋 Advanced Fibonacci-based patterns that provide high-probability reversal signals: Butterfly: AB=0.786 XA, BC=0.382-0.886 AB, CD=1.618-2.24 BC Gartley: AB=0.618 XA, BC=0.382-0.886 AB, CD=1.272-1.618 BC Bat: AB=0.382-0.50 XA, BC=0.382-0.886 AB, CD=1.618-2.24 BC Crab: AB=0.382-0.618 XA, BC=0.382-0.886 AB, CD=2.24-3.618 BC Head & Shoulders 👤 Classic three-peak reversal pattern indicating trend exhaustion: Standard H&S: Bearish reversal at tops Inverse H&S: Bullish reversal at bottoms Automatic neckline validation and price target calculation Double Patterns 📊 Powerful reversal patterns with extreme validation: Double Top: Two similar highs with valley between (bearish) Double Bottom: Two similar lows with peak between (bullish) Includes lookback period validation to ensure patterns are significant extremes Wedge Patterns 📐 Continuation/reversal patterns with converging trend lines: Rising Wedge: Converging upward slopes (typically bearish) Falling Wedge: Converging downward slopes (typically bullish) Volume confirmation required for increased accuracy 🎯 Trading Applications Entry Signals Harmonic Patterns: Enter at point D completion with targets at point A H&S Patterns: Enter on neckline break with calculated targets Double Patterns: Enter on support/resistance break with measured moves Wedge Patterns: Enter on breakout direction with volume confirmation Risk Management Use pattern structure for logical stop placement Pattern invalidation levels provide clear exit rules Multiple pattern confirmation increases probability Multi-Timeframe Analysis Higher ZigZag depth for longer-term patterns Lower sensitivity for short-term trading patterns Combine with other timeframes for confluence ⚙️ Optimal Settings For Day Trading (1m-15m charts) ZigZag Sensitivity: 5-9 Depth Multiplier: 1-2 Enable all pattern types for maximum opportunities For Swing Trading (1H-4H charts) ZigZag Sensitivity: 9-15 Depth Multiplier: 2-3 Focus on harmonic and H&S patterns For Position Trading (Daily+ charts) ZigZag Sensitivity: 15-25 Depth Multiplier: 3-5 Emphasize major harmonic and double patterns 🔧 Technical Specifications Maximum Lookback: 5000 bars for comprehensive analysis Pattern Overlap Prevention: Intelligent filtering prevents duplicate patterns Performance Optimized: Efficient algorithms for real-time detection Volume Integration: Advanced volume analysis for wedge confirmation Fibonacci Precision: 10% tolerance for harmonic ratio validation 📚 How to Use Add to Chart: Apply indicator to any timeframe/market Configure Settings: Adjust sensitivity based on trading style Enable Patterns: Toggle desired pattern types Analyze Results: Look for completed patterns with clear structure Plan Trades: Use price targets and pattern invalidation for trade management Perfect for both novice and experienced traders seeking systematic pattern recognition with visualization and entry/exit signals.
อินดิเคเตอร์ Pine Script®
โดย TheUltimator5
9
Intelligent Top & Bottom Finder v9.8 Keyvankh📈 Intelligent Top & Bottom Finder v9.8 Keyvankh A next-generation all-in-one trading system for precise tops, bottoms, and reversals across all timeframes. --- 🟢 Overview This indicator is a powerful and intelligent solution for detecting market tops and bottoms, key reversals, and S/R zones with institutional-grade accuracy. Designed for traders seeking an edge in any market (crypto, forex, stocks), it combines advanced candlestick recognition, multi-indicator confirmation, smart support/resistance clustering, and strict signal filtering into one seamless tool. --- 🔎 How Does It Work? 1. Advanced Support & Resistance Clustering Automatically detects and draws high-probability support and resistance zones using dynamic ATR-based pivot clustering. Highlights breakouts and retest (flip) zones in real-time, adapting to changing market structure. 2. Full Candlestick Pattern Recognition Scans for 15+ classic and advanced patterns: Engulfing, Pin Bar, Doji, Three Bar, Marubozu, Hammer, Shooting Star, Three White Soldiers, Three Black Crows, Tweezer, Morning/Evening Star, Kicker, Belt Hold, and more. Scores each pattern’s strength based on location (S/R zone, retest, breakout), volume context, and confirmation signals. 3. Multi-Indicator Confirmation Engine** Integrates and scores confirmation from up to five additional sources: RSI Games 1.2** (smoothed LTF momentum shifts) MACD Divergence** (bullish/bearish momentum reversal) QQE+ v7 Advanced** (dynamic volatility filter) OBV Trend Filter** (volume-backed trend validation) Volume Game** (net volume spike and reversal detection) Each module can be enabled or disabled to fit your personal trading style. 4. Institutional S/R and Retest Logic Real-time recognition of major trendline breaks, retest zones, and price flips. Automatic labeling and coloring of S/R zones, retest boxes, and confirmation candles. 5. Smart Buy & Sell Signal Generation** Combines all scoring modules with strict logical filters and “failsafe override” logic (guaranteeing signal on confirmed hammers, engulfings, etc. even if other filters disagree). Plots clear “BUY” and “SELL” labels only when a strong, multi-factor signal appears—minimizing noise and maximizing reliability. Built-in fallback logic (optional) for edge cases. 6. Alerts & Automation Ready TradingView alerts for all BUY, SELL, or ANY signal conditions—perfect for auto-trading or notification setups. --- *⚙️ Customizable Inputs Enable/Disable any module (RSI Games, MACD, OBV, QQE+, Candlestick Scanner, Volume Game) Minimum Confirmations** required for a signal (1–10) Pivot/Zone Sensitivity:** ATR multiplier, pivots per cluster, retest bar duration LTF (Lower Timeframe) Confirmation:** Fully configurable --- 📊 How To Use** Apply on any timeframe and symbol**—crypto, stocks, forex, indices. Use as a **standalone reversal/entry tool** or to confirm your own technical setups. Combine with your favorite momentum, trend, or volume indicators for advanced confluence. Set up **TradingView alerts** for auto-trading, Telegram/email notifications, or trade journaling. --- 🟢 What Makes This Unique? All-in-one multi-indicator fusion:** No more juggling a dozen scripts. Institutional logic:** Goes beyond basic signals with true S/R, retest, and volume logic. Full transparency:** Source code is clear and commented (if published open-source). Fast and reliable:** Optimized for minimal lag and maximum accuracy. --- ⚠️ Disclaimer** This indicator is a tool to assist with trade timing and risk management. **No system is 100% accurate.** Always use in conjunction with your own analysis and risk management practices. --- 📚 Credits & License** Created by Keyvan Khodakhah. You may use, modify, or share this script under the (mozilla.org). Please credit the original author if you fork or reuse in public. --- Questions, feedback, or collaboration? Contact: Keyvankh --- Precision in technical analysis comes from layers of confluence and discipline. This tool brings that precision to your chart.
อินดิเคเตอร์ Pine Script®
โดย keyvankho
23
Pivot Candle PatternsPivot Candle Patterns Indicator Overview The PivotCandlePatterns indicator is a sophisticated trading tool that identifies high-probability candlestick patterns at market pivot points. By combining Williams fractals pivot detection with advanced candlestick pattern recognition, this indicator targets the specific patterns that statistically show the highest likelihood of signaling reversals at market tops and bottoms. Scientific Foundation The indicator is built on extensive statistical analysis of historical price data using a 42-period Williams fractal lookback period. Our research analyzed which candlestick patterns most frequently appear at genuine market reversal points, quantifying their occurrence rates and subsequent success in predicting reversals. Key Research Findings: At Market Tops (Pivot Highs): - Three White Soldiers: 28.3% occurrence rate - Spinning Tops: 13.9% occurrence rate - Inverted Hammers: 11.7% occurrence rate At Market Bottoms (Pivot Lows): - Three Black Crows: 28.4% occurrence rate - Hammers: 13.3% occurrence rate - Spinning Tops: 13.1% occurrence rate How It Works 1. Pivot Point Detection The indicator uses a non-repainting implementation of Williams fractals to identify potential market turning points: - A pivot high is confirmed when the middle candle's high is higher than surrounding candles within the lookback period - A pivot low is confirmed when the middle candle's low is lower than surrounding candles within the lookback period - The default lookback period is 2 candles (user adjustable from 1-10) 2. Candlestick Pattern Recognition At identified pivot points, the indicator analyzes candle properties using these parameters: - Body percentage threshold for Spinning Tops: 40% (adjustable from 10-60%) - Shadow percentage threshold for Hammer patterns: 60% (adjustable from 40-80%) - Maximum upper shadow for Hammer: 10% (adjustable from 5-20%) - Maximum lower shadow for Inverted Hammer: 10% (adjustable from 5-20%) 3. Pattern Definitions The indicator recognizes these specific patterns: Single-Candle Patterns: - Spinning Top : Small body (< 40% of total range) with significant upper and lower shadows (> 25% each) - Hammer : Small body (< 40%), very long lower shadow (> 60%), minimal upper shadow (< 10%), closing price above opening price - Inverted Hammer : Small body (< 40%), very long upper shadow (> 60%), minimal lower shadow (< 10%) Multi-Candle Patterns: - Three White Soldiers : Three consecutive bullish candles, each closing higher than the previous, with each open within the previous candle's body - Three Black Crows : Three consecutive bearish candles, each closing lower than the previous, with each open within the previous candle's body 4. Visual Representation The indicator provides multiple visualization options: - Highlighted candle backgrounds for pattern identification - Text or dot labels showing pattern names and success rates - Customizable colors for different pattern types - Real-time alert functionality on pattern detection - Information dashboard displaying pattern statistics Why It Works 1. Statistical Edge Unlike traditional candlestick pattern indicators that simply identify patterns regardless of context, PivotCandlePatterns focuses exclusively on patterns occurring at statistical pivot points, dramatically increasing signal quality. 2. Non-Repainting Design The pivot detection algorithm only uses confirmed data, ensuring the indicator doesn't repaint or provide false signals that disappear on subsequent candles. 3. Complementary Pattern Selection The selected patterns have both: - Statistical significance (high frequency at pivots) - Logical market psychology (reflecting institutional supply/demand changes) For example, Three White Soldiers at a pivot high suggests excessive bullish sentiment reaching exhaustion, while Hammers at pivot lows indicate rejection of lower prices and potential buying pressure. Practical Applications 1. Reversal Trading The primary use is identifying potential market reversals with statistical probability metrics. Higher percentage patterns (like Three White Soldiers at 28.3%) warrant more attention than lower probability patterns. 2. Confirmation Tool The indicator works well when combined with other technical analysis methods: - Support/resistance levels - Trend line breaks - Divergences on oscillators - Volume analysis 3. Risk Management The built-in success rate metrics help traders properly size positions based on historical pattern reliability. The displayed percentages reflect the probability of the pattern successfully predicting a reversal. Optimized Settings Based on extensive testing, the default parameters (Body: 40%, Shadow: 60%, Shadow Maximums: 10%, Lookback: 2) provide the optimal balance between: - Signal frequency - False positive reduction - Early entry opportunities - Pattern clarity Users can adjust these parameters based on their timeframe and trading style, but the defaults represent the statistically optimal configuration. Complementary Research: Reclaim Analysis Additional research on "reclaim" scenarios (where price briefly breaks a level before returning) showed: - Fast reclaims (1-2 candles) have 70-90% success rates - Reclaims with increasing volume have 53.1% success rate vs. decreasing volume at 22.6% This complementary research reinforces the importance of candle patterns and timing at critical market levels.
อินดิเคเตอร์ Pine Script®
โดย mindyourbuisness
Naive Bayes Candlestick Pattern Classifier v1.1 BETAAn intermezzo on why i made this script publication.. A : Candlestick Pattern took hours to backtest, why not using Machine Learning techniques? B : Machine Learning, no that's gonna be really heavy bro! A : Not really, because we use Naive Bayes. B : The simplest, yet powerful machine learning algorithm to separate (a.k.a classify) multivariate data. ---------------------------------------------------------------------------------------------------------------------- Hello, everyone! After deep research in extracting meaningful information from the market, I ended up building this powerful machine learning indicator based on the evolution of Bayesian Statistics. This indicator not only leverages the simplicity of Naive Bayes but also extends its application to candlestick pattern analysis, making it an invaluable tool for traders who are looking to enhance their technical analysis without spending countless hours manually backtesting each pattern on each market!. What most interesting part is actually after learning all of likely useless methods like fibonacci, supply and demand, volume profile, etc. We always ended up back to basic like support and resistance and candlestick patterns, but with a slight twist on strategy algorithm design and statistical approach. Thus, the only reason why i made this, because i exactly know that you guys will ended up in this position as time goes by. The essence of this indicator lies in its ability to automate the recognition and statistical evaluation of various candlestick patterns. Traditionally, traders have relied on visual inspection and manual backtesting to determine the effectiveness of patterns like Bullish Engulfing, Bearish Engulfing, Harami variations, Hammer formations, and even more complex multi-candle patterns such as Three White Soldiers, Three Black Crows, Dark Cloud Cover, and Piercing Pattern. However, these conventional methods are both time-consuming and prone to subjective bias. To address these challenges, I employed Naive Bayes—a probabilistic classifier that, despite its simplicity, offers robust performance in various domains. Naive Bayes assumes that each feature is independent of the others given the class label, which, although a strong assumption, works remarkably well in practice, especially when the dataset is large like market data and the feature space is high-dimensional. In our case, each candlestick pattern acts as a feature that can be statistically evaluated based on its historical performance. The indicator calculates a probability that a given pattern will lead to a price reversal, by comparing the pattern’s close price to the highest or lowest price achieved in a lookahead window. One of the standout features of this script is its flexibility. Each candlestick pattern is not only coded into the system but also comes with individual toggles to enable or disable them based on your trading strategy. This means you can choose to focus on single-candle patterns like Bullish Engulfing or more complex multi-candle formations such as Three White Soldiers, without modifying the core code. The built-in customization options allow you to adjust colors and labels for each pattern, giving you the freedom to tailor the visual output to your preference. This level of customization ensures that the indicator integrates seamlessly into your existing TradingView setup. Moreover, the indicator isn’t just about pattern recognition—it also incorporates outcome-based learning. Every time a pattern is detected, it looks ahead a predefined number of bars to evaluate if the expected reversal actually materialized. This outcome is then stored in arrays, and over time, the script dynamically calculates the probability of success for each pattern. These probabilities are presented in a real-time updating table on your chart, which shows not only the percentage probability but also the count of historical occurrences. With this information at your fingertips, you can quickly gauge the reliability of each pattern in your chosen market and timeframe. Another significant advantage of this approach is its speed and efficiency. While more complex machine learning models like neural networks might require heavy computational resources and longer training times, the Naive Bayes classifier in this script is lightweight, instantaneous and can be updated on the fly with each new bar. This real-time capability is essential for modern traders who need to make quick decisions in fast-paced markets. Furthermore, by automating the process of backtesting, the indicator frees up your time to focus on other aspects of trading strategy development. Instead of manually analyzing hundreds or even thousands of candles, you can rely on the statistical power of Naive Bayes to provide you with insights on which patterns are most likely to result in profitable moves. This not only enhances your efficiency but also helps to eliminate the cognitive biases that often plague manual analysis. In summary, this indicator represents a fusion of traditional candlestick analysis with modern machine learning techniques. It harnesses the simplicity and effectiveness of Naive Bayes to deliver a dynamic, real-time evaluation of various candlestick patterns. Whether you are a seasoned trader looking to refine your technical analysis or a beginner eager to understand market dynamics, this tool offers a powerful, customizable, and efficient solution. Welcome to a new era where advanced statistical methods meet practical trading insights—happy trading and may your patterns always be in your favor! Note : On this current released beta version, you must manually adjust reversal percentage move based on each market. Further updates may include automated best range detection and probability.
อินดิเคเตอร์ Pine Script®
โดย sigmaCEO
1
Trend & Strength Detector TSDTrend Strength Detector (TSD) *Objective Trend Quality Measurement for Educational Market Analysis* Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication. ## 🎯 Purpose & Design Philosophy The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"* This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems. ## 🔗 Complementary Research Framework ### Designed to Work With Pattern Detection Systems This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like: - **RMBS Smart Detector - Multi-Factor Momentum System** - Traditional chart pattern analyzers - Any momentum-based pattern identification tools 🔍 **To find RMBS Smart Detector:** - Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"` - Look for: *Multi-Factor Momentum System* - By author: ` ` ### Why This Complementary Approach? **Trend Quality Measurement** (TSD - this tool) provides: - ✅ Structural trend alignment (0-100 score) - ✅ Momentum intensity levels (0-100 score) - ✅ Environment classification (Strong/Moderate/Weak) - 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"* ### Educational Research Value When used together in a research context, these tools enable systematic study of questions like: - How do reversal patterns behave when Strength Score is above 70 vs below 30? - Do continuation patterns in weakening environments (declining scores) show different characteristics? - What is the correlation between high Alignment Scores and pattern "success rates"? - Can environment classification help identify genuine trend initiation vs false starts? ⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent. --- ###Mathematical Foundation ##TSA Formula: scoring method developed by Ario -Trend Model (0 – 100) TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30) EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure. Price Position evaluates if Close is above/below all EMAs. Consistency = 3 × max(bullish,bearish bars within 10 candles). -Strength Model (0 – 100) Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10) ADX measures trend energy; Slope shows EMA momentum %; RSI assesses zone positioning; MACD confirms directional agreement. Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________ 📊 Environment Classification Based on Total Strength Score: 🟢 Strong Environment: Score ≥ 60 → Well-defined momentum, clear directional bias 🟡 Moderate Environment: 40 ≤ Score < 60 → Mixed signals, transitional conditions 🔴 Weak Environment: Score < 40 → Ranging, choppy, low conviction movement Color Coding: • Green background: Strong (≥60) • Yellow background: Moderate (40-59) • Red background: Weak (<40) ________________________________________ 📈 Visual Components Main Chart Display Score Labels (Top-Right Corner): ┌─────────────────────────────────┐ │ 📊 Alignment: 75 | Strength: 82 │ │ Environment: Strong 🟢 │ └─────────────────────────────────┘ Color-Coded Background: • Environment strength visually indicated via background color • Helps quick identification of market regime • Customizable transparency (default: 90%) Reference Lines: • Dotted line at 60: Strong/Moderate threshold • Dotted line at 40: Moderate/Weak threshold • Mid-line at 50: Neutral reference ________________________________________ 🔧 Customization Settings Input Parameters The best setting is the default mode. 🚫 Important Disclaimers & Limitations What This Indicator IS: ✅ Educational measurement tool for trend quality research ✅ Quantitative assessment of current market environment ✅ Complementary analysis tool for pattern-based systems ✅ Historical data analyzer for systematic study ✅ Multi-factor scoring system based on technical calculations What This Indicator IS NOT: ❌ NOT a trading system or signal generator ❌ NOT financial advice or trade recommendations ❌ NOT predictive of future price movements ❌ NOT a guarantee of pattern success/failure ❌ NOT a substitute for comprehensive risk management ________________________________________ Known Limitations 1. Lagging Nature: ⚠️ All components (EMA, ADX, RSI, MACD) are calculated from historical price data → Scores reflect CURRENT and RECENT conditions → Cannot predict sudden reversals or black swan events → Trend measurements lag actual price turning points 2. Whipsaw Risk: ⚠️ In choppy/ranging markets, scores may fluctuate rapidly → Moderate zone (40-60) can see frequent transitions → Low timeframes more susceptible to noise → Consider higher timeframes for stable measurements 3. Component Conflicts: ⚠️ Individual components may disagree → Example: Strong ADX but weak RSI alignment → Scores average these conflicts (may hide nuance) → Check individual components for deeper insight 4. Not Predictive: ⚠️ High scores do NOT guarantee continuation ⚠️ Low scores do NOT guarantee reversal → Measurement ≠ Prediction → Use for CONTEXT, not SIGNALS → Combine with comprehensive analysis ________________________________________ Risk Acknowledgments Market Risk: • All trading involves substantial risk of loss • Past performance (even systematic studies) does not guarantee future results • No indicator, system, or methodology can eliminate market risk Measurement Limitations: • Scores are mathematical calculations, not market predictions • Environmental classification is descriptive, not prescriptive • Strong measurements can deteriorate rapidly without warning Educational Purpose: • This tool is designed for LEARNING about market structure • Not designed, tested, or validated as a standalone trading system • Any trading decisions are user’s sole responsibility No Warranty: • Indicator provided “as-is” for educational purposes • No guarantee of accuracy, reliability, or profitability • Users must verify calculations and apply critical thinking Open Source Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome. “All logic is presented for research and educational visualization.” ---
อินดิเคเตอร์ Pine Script®
โดย Ario_pinelab
Machine Learning Gaussian Mixture Model | AlphaNattMachine Learning Gaussian Mixture Model | AlphaNatt A revolutionary oscillator that uses Gaussian Mixture Models (GMM) with unsupervised machine learning to identify market regimes and automatically adapt momentum calculations - bringing statistical pattern recognition techniques to trading. "Markets don't follow a single distribution - they're a mixture of different regimes. This oscillator identifies which regime we're in and adapts accordingly." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 THE MACHINE LEARNING Gaussian Mixture Models (GMM): Unlike K-means clustering which assigns hard boundaries, GMM uses probabilistic clustering : Models data as coming from multiple Gaussian distributions Each market regime is a different Gaussian component Provides probability of belonging to each regime More sophisticated than simple clustering Expectation-Maximization Algorithm: The indicator continuously learns and adapts using the E-M algorithm: E-step: Calculate probability of current market belonging to each regime M-step: Update regime parameters based on new data Continuous learning without repainting Adapts to changing market conditions ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 THREE MARKET REGIMES The GMM identifies three distinct market states: Regime 1 - Low Volatility: Quiet, ranging markets Uses RSI-based momentum calculation Reduces false signals in choppy conditions Background: Pink tint Regime 2 - Normal Market: Standard trending conditions Uses Rate of Change momentum Balanced sensitivity Background: Gray tint Regime 3 - High Volatility: Strong trends or volatility events Uses Z-score based momentum Captures extreme moves Background: Cyan tint ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 KEY INNOVATIONS 1. Probabilistic Regime Detection: Instead of binary regime assignment, provides probabilities: 30% Regime 1, 60% Regime 2, 10% Regime 3 Smooth transitions between regimes No sudden indicator jumps 2. Weighted Momentum Calculation: Combines three different momentum formulas Weights based on regime probabilities Automatically adapts to market conditions 3. Confidence Indicator: Shows how certain the model is (white line) High confidence = strong regime identification Low confidence = transitional market state Line transparency changes with confidence ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ PARAMETER OPTIMIZATION Training Period (50-500): 50-100: Quick adaptation to recent conditions 100: Balanced (default) 200-500: Stable regime identification Number of Components (2-5): 2: Simple bull/bear regimes 3: Low/Normal/High volatility (default) 4-5: More granular regime detection Learning Rate (0.1-1.0): 0.1-0.3: Slow, stable learning 0.3: Balanced (default) 0.5-1.0: Fast adaptation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 TRADING STRATEGIES Visual Signals: Cyan gradient: Bullish momentum Magenta gradient: Bearish momentum Background color: Current regime Confidence line: Model certainty 1. Regime-Based Trading: Regime 1 (pink): Expect mean reversion Regime 2 (gray): Standard trend following Regime 3 (cyan): Strong momentum trades 2. Confidence-Filtered Signals: Only trade when confidence > 70% High confidence = clearer market state Avoid transitions (low confidence) 3. Adaptive Position Sizing: Regime 1: Smaller positions (choppy) Regime 2: Normal positions Regime 3: Larger positions (trending) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 ADVANTAGES OVER OTHER ML INDICATORS vs K-Means Clustering: Soft clustering (probabilities) vs hard boundaries Captures uncertainty and transitions More mathematically robust vs KNN (K-Nearest Neighbors): Unsupervised learning (no historical labels needed) Continuous adaptation Lower computational complexity vs Neural Networks: Interpretable (know what each regime means) No overfitting issues Works with limited data ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 PERFORMANCE CHARACTERISTICS Best Market Conditions: Markets with clear regime shifts Volatile to trending transitions Multi-timeframe analysis Cryptocurrency markets (high regime variation) Key Strengths: Automatically adapts to market changes No manual parameter adjustment needed Smooth transitions between regimes Probabilistic confidence measure ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 TECHNICAL BACKGROUND Gaussian Mixture Models are used extensively in: Speech recognition (Google Assistant) Computer vision (facial recognition) Astronomy (galaxy classification) Genomics (gene expression analysis) Finance (risk modeling at investment banks) The E-M algorithm was developed at Stanford in 1977 and is one of the most important algorithms in unsupervised machine learning. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 PRO TIPS Watch regime transitions: Best opportunities often occur when regimes change Combine with volume: High volume + regime change = strong signal Use confidence filter: Avoid low confidence periods Multi-timeframe: Compare regimes across timeframes Adjust position size: Scale based on identified regime ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTES Machine learning adapts but doesn't predict the future Best used with other confirmation indicators Allow time for model to learn (100+ bars) Not financial advice - educational purposes Backtest thoroughly on your instruments ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 CONCLUSION The GMM Momentum Oscillator brings institutional-grade machine learning to retail trading. By identifying market regimes probabilistically and adapting momentum calculations accordingly, it provides: Automatic adaptation to market conditions Clear regime identification with confidence levels Smooth, professional signal generation True unsupervised machine learning This isn't just another indicator with "ML" in the name - it's a genuine implementation of Gaussian Mixture Models with the Expectation-Maximization algorithm, the same technology used in: Google's speech recognition Tesla's computer vision NASA's data analysis Wall Street risk models "Let the machine learn the market regimes. Trade with statistical confidence." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt | Machine Learning Trading Systems Version: 1.0 Algorithm: Gaussian Mixture Model with E-M Classification: Unsupervised Learning Oscillator Not financial advice. Always DYOR.
อินดิเคเตอร์ Pine Script®
โดย AlphaNatt
3
Advanced DMA Pattern Detection SystemAdvanced DMA Pattern Detection System with Smart Intelligence Professional-grade moving average indicator that combines traditional DMA analysis with advanced pattern recognition and probabilistic forecasting. Core Features: 6 Key DMAs (5, 10, 20, 50, 100, 200) with descriptive labels showing trading purpose Advanced Pattern Recognition - Detects Institutional Accumulation, Distribution Phases, Bull/Bear Transitions, and Choppy Markets Probability Engine - Assigns confidence scores (0-100%) with Low/Medium/High classifications Historical Validation - Tracks success rate of last 20 pattern signals for real performance data Smart Alert System - Only triggers on significant pattern changes (20%+ probability shifts) Dual Display System: Movable Information Table - Shows current pattern, probability, confidence level, success rate, and recommended action Chart Alerts & Background Colors - Visual confirmation of high-confidence setups (80%+ patterns) Traditional DMA Labels - Clear identification of each average's trading significance Complete Customization: Master on/off controls for entire system Individual toggles for all components (DMAs, table, alerts, colors) Adjustable alert sensitivity (Conservative/Medium/Aggressive) 6 table positions to fit any chart layout Perfect For: Swing traders, position traders, and anyone wanting systematic trend analysis with quantified probability scores rather than subjective interpretation. Bottom Line: Transforms basic moving averages into an intelligent trading system that tells you exactly what the market structure means and what to do about it.
อินดิเคเตอร์ Pine Script®
โดย Sakett_Guptaa
Neuracap Gap AnalysisThe Neuracap Gap Analysis indicator is a comprehensive tool designed to identify and track price gaps, special candlestick patterns, and high-volume breakout signals. It combines multiple trading strategies into one powerful indicator for gap trading, pattern recognition, and momentum analysis. 🎯 What This Indicator Does 1. Gap Detection & Tracking Automatically identifies price gaps (up and down) Tracks gap fills with visual boxes that extend until closed Manages gap history with customizable limits Color-coded visualization (Green = Gap Up, Red = Gap Down) 2. Upside Tasuki Gap Pattern Identifies the bullish continuation pattern Colors candles yellow when pattern is detected Confirms trend continuation signals 3. Episodic Pivot Detection High-volume breakout identification EMA filter ensures signals only in uptrends Strong momentum confirmation Fuchsia-colored candles with arrow markers 🔍 How to Use for Trading 📈 Gap Trading Strategy Gap Up Trading: Wait for gap up (green box appears) Check volume - Higher volume = stronger signal Entry options: Aggressive: Enter at market open Conservative: Wait for pullback to gap level Stop loss: Below the gap fill level Target: Previous resistance or 2:1 risk/reward Gap Down Trading: Identify gap down (red box appears) Look for bounce opportunities Entry: When price shows reversal signs Stop: Below recent lows Target: Gap fill level 💫 Tasuki Gap Strategy Yellow candle indicates bullish continuation Confirms uptrend is likely to continue Entry: On next candle after pattern Stop: Below the gap low Target: Next resistance level 🚀 Episodic Pivot Strategy Fuchsia candle + arrow = High probability breakout All conditions met: Price above EMA 20, 50, 200 High volume (2x+ average) Strong price move (4%+) Entry: At close or next open Stop: Below EMA 20 or recent swing low Target: Measured move or next resistance 📊 Reading the Visual Signals Gap Boxes 🟢 Green Box: Gap up - potential bullish continuation 🔴 Red Box: Gap down - potential bounce or bearish continuation Box extends until gap is filled Box disappears when gap closes Candle Colors 🟡 Yellow: Tasuki gap pattern (bullish continuation) 🟪 Fuchsia: Episodic pivot (high-volume breakout) ⬜ Normal: No special pattern detected Arrows & Markers ⬆️ Triangle Arrow: Episodic pivot confirmation 💡 Trading Tips & Best Practices ✅ Do's Combine with trend analysis - Trade gaps in direction of trend Check volume - Higher volume = more reliable signals Use multiple timeframes - Confirm on higher timeframes Risk management - Always set stop losses Wait for confirmation - Don't chase, let signals develop ❌ Don'ts Don't trade all gaps - Focus on high-quality setups Avoid low volume - Weak volume = unreliable signals Don't ignore trend - Counter-trend trading is risky Don't overtrade - Quality over quantity Don't ignore context - Consider market conditions ⚠️ Risk Management Position sizing: Risk 1-2% per trade Stop losses: Always define before entry Target levels: Set realistic profit targets Market conditions: Avoid trading in choppy markets 📈 Performance Optimization For Conservative Traders: Increase minimum gap size to 1% Set volume multiplier to 3.0x Only trade episodic pivots in strong uptrends Wait for gap fill confirmation For Aggressive Traders: Decrease minimum gap size to 0.3% Set volume multiplier to 1.5x Trade both gap types Enter on pattern confirmation 🚨 Alert Setup The indicator provides alerts for: Gap Up Detected Gap Down Detected Upside Tasuki Gap Episodic Pivot Recommended: Enable all alerts and filter manually based on your strategy. 📝 Summary This indicator excels at identifying high-probability trading opportunities through gap analysis, pattern recognition, and momentum confirmation. Use it as part of a complete trading system with proper risk management for best results.
อินดิเคเตอร์ Pine Script®
โดย neuracap
Similar Bars Pattern DetecterDescription: The Similar Bars Pattern Detector is a professional Pine Script indicator designed for TradingView users who want to identify sequences of similar candlesticks in a row. Whether you're looking for bullish or bearish patterns, this tool helps you spot repeating formations based on customizable settings. Features: ✅ Detects patterns of consecutive similar bars ✅ Works for both bullish and bearish trends ✅ Uses tick-based range filtering for precise detection ✅ Fully customizable: adjust number of candles, trend type, and range ✅ Highlights detected patterns directly on the chart 🔹 Ideal for traders who rely on pattern recognition to confirm trends and price movements. 🔹 Works across all markets and timeframes. 💡 How to Use: 1️⃣ Set the number of candles to detect a repeating pattern. 2️⃣ Choose bullish or bearish trend direction. 3️⃣ Adjust the tick range to fine-tune pattern similarity. 🚀 Enhance your trading analysis with this powerful pattern recognition tool!
อินดิเคเตอร์ Pine Script®
โดย QCodeTrader
AI Adaptive Oscillator [PhenLabs]📊 Algorithmic Adaptive Oscillator Version: PineScript™ v6 📌 Description The AI Adaptive Oscillator is a sophisticated technical indicator that employs ensemble learning and adaptive weighting techniques to analyze market conditions. This innovative oscillator combines multiple traditional technical indicators through an AI-driven approach that continuously evaluates and adjusts component weights based on historical performance. By integrating statistical modeling with machine learning principles, the indicator adapts to changing market dynamics, providing traders with a responsive and reliable tool for market analysis. 🚀 Points of Innovation: Ensemble learning framework with adaptive component weighting Performance-based scoring system using directional accuracy Dynamic volatility-adjusted smoothing mechanism Intelligent signal filtering with cooldown and magnitude requirements Signal confidence levels based on multi-factor analysis 🔧 Core Components Ensemble Framework : Combines up to five technical indicators with performance-weighted integration Adaptive Weighting : Continuous performance evaluation with automated weight adjustment Volatility-Based Smoothing : Adapts sensitivity based on current market volatility Pattern Recognition : Identifies potential reversal patterns with signal qualification criteria Dynamic Visualization : Professional color schemes with gradient intensity representation Signal Confidence : Three-tiered confidence assessment for trading signals 🔥 Key Features The indicator provides comprehensive market analysis through: Multi-Component Ensemble : Integrates RSI, CCI, Stochastic, MACD, and Volume-weighted momentum Performance Scoring : Evaluates each component based on directional prediction accuracy Adaptive Smoothing : Automatically adjusts based on market volatility Pattern Detection : Identifies potential reversal patterns in overbought/oversold conditions Signal Filtering : Prevents excessive signals through cooldown periods and minimum change requirements Confidence Assessment : Displays signal strength through intuitive confidence indicators (average, above average, excellent) 🎨 Visualization Gradient-Filled Oscillator : Color intensity reflects strength of market movement Clear Signal Markers : Distinct bullish and bearish pattern signals with confidence indicators Range Visualization : Clean representation of oscillator values from -6 to 6 Zero Line : Clear demarcation between bullish and bearish territory Customizable Colors : Color schemes that can be adjusted to match your chart style Confidence Symbols : Intuitive display of signal confidence (no symbol, +, or ++) alongside direction markers 📖 Usage Guidelines ⚙️ Settings Guide Color Settings Bullish Color Default: #2b62fa (Blue) This setting controls the color representation for bullish movements in the oscillator. The color appears when the oscillator value is positive (above zero), with intensity indicating the strength of the bullish momentum. A brighter shade indicates stronger bullish pressure. Bearish Color Default: #ce9851 (Amber) This setting determines the color representation for bearish movements in the oscillator. The color appears when the oscillator value is negative (below zero), with intensity reflecting the strength of the bearish momentum. A more saturated shade indicates stronger bearish pressure. Signal Settings Signal Cooldown (bars) Default: 10 Range: 1-50 This parameter sets the minimum number of bars that must pass before a new signal of the same type can be generated. Higher values reduce signal frequency and help prevent overtrading during choppy market conditions. Lower values increase signal sensitivity but may generate more false positives. Min Change For New Signal Default: 1.5 Range: 0.5-3.0 This setting defines the minimum required change in oscillator value between consecutive signals of the same type. It ensures that new signals represent meaningful changes in market conditions rather than minor fluctuations. Higher values produce fewer but potentially higher-quality signals, while lower values increase signal frequency. AI Core Settings Base Length Default: 14 Minimum: 2 This fundamental setting determines the primary calculation period for all technical components in the ensemble (RSI, CCI, Stochastic, etc.). It represents the lookback window for each component’s base calculation. Shorter periods create a more responsive but potentially noisier oscillator, while longer periods produce smoother signals with potential lag. Adaptive Speed Default: 0.1 Range: 0.01-0.3 Controls how quickly the oscillator adapts to new market conditions through its volatility-adjusted smoothing mechanism. Higher values make the oscillator more responsive to recent price action but potentially more erratic. Lower values create smoother transitions but may lag during rapid market changes. This parameter directly influences the indicator’s adaptiveness to market volatility. Learning Lookback Period Default: 150 Minimum: 10 Determines the historical data range used to evaluate each ensemble component’s performance and calculate adaptive weights. This setting controls how far back the AI “learns” from past performance to optimize current signals. Longer periods provide more stable weight distribution but may be slower to adapt to regime changes. Shorter periods adapt more quickly but may overreact to recent anomalies. Ensemble Size Default: 5 Range: 2-5 Specifies how many technical components to include in the ensemble calculation. Understanding The Interaction Between Settings Base Length and Learning Lookback : The base length determines the reactivity of individual components, while the lookback period determines how their weights are adjusted. These should be balanced according to your timeframe - shorter timeframes benefit from shorter base lengths, while the lookback should generally be 10-15 times the base length for optimal learning. Adaptive Speed and Signal Cooldown : These settings control sensitivity from different angles. Increasing adaptive speed makes the oscillator more responsive, while reducing signal cooldown increases signal frequency. For conservative trading, keep adaptive speed low and cooldown high; for aggressive trading, do the opposite. Ensemble Size and Min Change : Larger ensembles provide more stable signals, allowing for a lower minimum change threshold. Smaller ensembles might benefit from a higher threshold to filter out noise. Understanding Signal Confidence Levels The indicator provides three distinct confidence levels for both bullish and bearish signals: Average Confidence (▲ or ▼) : Basic signal that meets the minimum pattern and filtering criteria. These signals indicate potential reversals but with moderate confidence in the prediction. Consider using these as initial alerts that may require additional confirmation. Above Average Confidence (▲+ or ▼+) : Higher reliability signal with stronger underlying metrics. These signals demonstrate greater consensus among the ensemble components and/or stronger historical performance. They offer increased probability of successful reversals and can be traded with less additional confirmation. Excellent Confidence (▲++ or ▼++) : Highest quality signals with exceptional underlying metrics. These signals show strong agreement across oscillator components, excellent historical performance, and optimal signal strength. These represent the indicator’s highest conviction trade opportunities and can be prioritized in your trading decisions. Confidence assessment is calculated through a multi-factor analysis including: Historical performance of ensemble components Degree of agreement between different oscillator components Relative strength of the signal compared to historical thresholds ✅ Best Use Cases: Identify potential market reversals through oscillator extremes Filter trade signals based on AI-evaluated component weights Monitor changing market conditions through oscillator direction and intensity Confirm trade signals from other indicators with adaptive ensemble validation Detect early momentum shifts through pattern recognition Prioritize trading opportunities based on signal confidence levels Adjust position sizing according to signal confidence (larger for ++ signals, smaller for standard signals) ⚠️ Limitations Requires sufficient historical data for accurate performance scoring Ensemble weights may lag during dramatic market condition changes Higher ensemble sizes require more computational resources Performance evaluation quality depends on the learning lookback period length Even high confidence signals should be considered within broader market context 💡 What Makes This Unique Adaptive Intelligence : Continuously adjusts component weights based on actual performance Ensemble Methodology : Combines strength of multiple indicators while minimizing individual weaknesses Volatility-Adjusted Smoothing : Provides appropriate sensitivity across different market conditions Performance-Based Learning : Utilizes historical accuracy to improve future predictions Intelligent Signal Filtering : Reduces noise and false signals through sophisticated filtering criteria Multi-Level Confidence Assessment : Delivers nuanced signal quality information for optimized trading decisions 🔬 How It Works The indicator processes market data through five main components: Ensemble Component Calculation : Normalizes traditional indicators to consistent scale Includes RSI, CCI, Stochastic, MACD, and volume components Adapts based on the selected ensemble size Performance Evaluation : Analyzes directional accuracy of each component Calculates continuous performance scores Determines adaptive component weights Oscillator Integration : Combines weighted components into unified oscillator Applies volatility-based adaptive smoothing Scales final values to -6 to 6 range Signal Generation : Detects potential reversal patterns Applies cooldown and magnitude filters Generates clear visual markers for qualified signals Confidence Assessment : Evaluates component agreement, historical accuracy, and signal strength Classifies signals into three confidence tiers (average, above average, excellent) Displays intuitive confidence indicators (no symbol, +, ++) alongside direction markers 💡 Note: The AI Adaptive Oscillator performs optimally when used with appropriate timeframe selection and complementary indicators. Its adaptive nature makes it particularly valuable during changing market conditions, where traditional fixed-weight indicators often lose effectiveness. The ensemble approach provides a more robust analysis by leveraging the collective intelligence of multiple technical methodologies. Pay special attention to the signal confidence indicators to optimize your trading decisions - excellent (++) signals often represent the most reliable trade opportunities.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
1
The Pattern-Synced Moving Average System (PSMA)Description: The Pattern-Synced Moving Average System (PSMA) is a comprehensive trading indicator that combines the reliability of moving averages with automated candlestick pattern detection, real-time alerts, and dynamic risk management to enhance both trend-following and reversal strategies. The PSMA system integrates key elements of trend analysis and pattern recognition to provide users with configurable entry, stop-loss, and take-profit levels. It is designed for all levels of traders who seek to trade in alignment with market context, using signals from trend direction and established candlestick patterns. Key Functional Components: Multi-Type Moving Average: Provides flexibility with multiple moving average options: SMA, EMA, WMA, and SMMA. The selected moving average helps users determine market trend direction, with price positions relative to the MA acting as a trend confirmation. Automatic Candlestick Pattern Detection: Identifies pivotal patterns, including bullish/bearish engulfing and reversal signals. Helps traders spot potential market turning points and adjust their strategies accordingly. Configurable Entry, Stop-Loss, and Take-Profit: Risk management is customizable through risk/reward ratios and risk tolerance settings. Entry, stop-loss, and take-profit levels are automatically plotted when patterns appear, facilitating rapid trade decision-making with predefined exit points. Higher Timeframe Trend Confirmation: Optional feature to verify trend alignment on a higher timeframe (e.g., checking a daily trend on an intraday chart). This added filter improves signal reliability by focusing on patterns aligned with the broader market trend. Real-Time Alerts: Alerts can be set for key pattern detections, allowing traders to respond promptly without constant chart monitoring. How to Use PSMA: Set Moving Average Preferences: Choose the preferred moving average type and length based on your trading strategy. The MA acts as a foundational trend indicator, with price positions indicating potential uptrends (price above MA) or downtrends (price below MA). Adjust Risk Management Settings: Set a Risk/Reward Ratio for defining take-profit levels relative to the entry and stop-loss levels. Modify the Risk Tolerance Percentage to adjust stop-loss placement, adding flexibility in managing trades based on market volatility. Activate Higher Timeframe Confirmation (Optional): Enable higher timeframe trend confirmation to filter out counter-trend trades, ensuring that detected patterns are in sync with the larger market trend. Review Alerts and Trade Levels: With PSMA’s real-time alerts, traders receive notifications for detected patterns without having to continuously monitor charts. Visualized entry, stop-loss, and take-profit lines simplify trade execution by highlighting levels directly on the chart. Execute Based on Entry and Exit Levels: The entry line suggests the potential entry price once a bullish or bearish pattern is detected. The stop-loss line is based on your set risk tolerance, establishing a predefined risk level. The take-profit line is calculated according to your preferred risk/reward ratio, providing a clear profit target. Example Strategy: Ensure price is above or below the selected moving average to confirm trend direction. Await a PSMA signal for a bullish or bearish pattern. Review the plotted entry, stop-loss, and take-profit lines, and enter the trade if the setup aligns with your risk/reward criteria. Activate alerts for continuous monitoring, allowing PSMA to notify you of emerging trade opportunities. Release Notes: Line Color and Style Customization: Customizable colors and line styles for entry, stop-loss, and take-profit levels. Dynamic Trade Tracking: Tracks trade statistics, including total trades, win rate, and average P/L, displayed in the data window for comprehensive trade performance analysis. Summary: The PSMA indicator is a powerful, user-friendly tool that combines trend detection, pattern recognition, and risk management into a cohesive system for improved trade decision-making. Suitable for stocks, forex, and futures, PSMA offers a unique blend of adaptability and precision, making it valuable for day traders and long-term investors alike. Enjoy this tool as it enhances your ability to execute timely, well-informed trades on TradingView.
อินดิเคเตอร์ Pine Script®
โดย bullhead09
Mars Signals - SSL Trend AnalyzerIntroduction The "Mars Signals - Precision Trend Analyzer with SSL Baseline & Price Action Zones" is a comprehensive technical analysis tool designed for traders seeking to enhance their market analysis and trading strategies. This indicator integrates multiple advanced trading concepts, including dynamic moving averages, trend detection algorithms, momentum indicators, volume analysis, higher timeframe confirmation, candlestick pattern recognition, and precise price action zones. By combining these elements, the indicator aims to provide clear and actionable buy and sell signals, helping traders to make informed decisions in various market conditions. Core Components and Functionality 1.Dynamic Baseline Calculation Moving Average Types: The indicator allows users to select from a variety of moving average types for the baseline calculation, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Hull Moving Average (HMA), Weighted Moving Average (WMA), Double EMA (DEMA), Triple EMA (TEMA), Least Squares Moving Average (LSMA), Triangular Moving Average (TMA), Kijun (from Ichimoku Kinko Hyo), and McGinley's Dynamic. Baseline Length: Users can customize the length of the moving average, providing flexibility to adjust the sensitivity of the baseline to market movements. Signal Line Generation: The indicator computes a dynamic signal line based on the relationship between the close price and the moving averages of the high and low prices. This signal line adapts to market volatility and trend changes. 2.SSL Baseline Integration SSL Baseline: In addition to the primary baseline, the indicator incorporates an SSL (Semaphore Signal Level) Baseline, which further refines trend detection by considering the highs and lows over a specified period. Dual Confirmation: The combination of the primary baseline and the SSL baseline enhances the reliability of the trend signals by requiring agreement between both baselines before generating a signal. 3.Momentum and Trend Filters Relative Strength Index (RSI): The indicator uses the RSI to assess the momentum of price movements, filtering out signals that occur during overbought or oversold conditions. Moving Average Convergence Divergence (MACD): The MACD is employed to identify the direction and strength of the trend, adding another layer of confirmation to the signals. Average Directional Index (ADX): The ADX measures the strength of the trend, ensuring that signals are generated only when the market shows significant directional movement. 4.Volume Analysis Volume Filter: An optional volume filter compares the current volume to its moving average, allowing traders to focus on signals that occur during periods of higher market activity. 5.Higher Timeframe Confirmation Multi-Timeframe Analysis: The indicator can incorporate data from a higher timeframe, comparing the current price to the higher timeframe's baseline and signal line. This feature helps traders align their trades with the broader market trend. 6.Candlestick Pattern Recognition Bullish Patterns: The indicator detects bullish patterns such as Bullish Engulfing, Piercing Line, Hammer, and Doji. Bearish Patterns: It also identifies bearish patterns like Bearish Engulfing, Dark Cloud Cover, Shooting Star, and Doji. Pattern Prioritization: The patterns are prioritized to highlight the most significant formations, which can serve as additional confirmation for trade entries and exits. 7.Price Action Zones Support and Resistance Levels: The indicator automatically identifies pivot highs and lows to establish dynamic support and resistance levels. Zone Visualization: It draws shaded rectangles on the chart to represent these zones, providing a clear visual aid for potential reversal or breakout areas. ATR-Based Zone Width: The zones' thickness is dynamically calculated using the Average True Range (ATR), adjusting to the current market volatility. Background Coloring: The chart background changes color when the price is above the maximum resistance or below the minimum support, alerting traders to significant price movements. Interpreting the Signals 1.Buy Signals Conditions: Price crosses above the signal line. RSI is below 70 (not overbought). MACD line is above the signal line (indicating bullish momentum). ADX is above the user-defined threshold (default is 20), confirming a strong trend. (Optional) Volume is above its moving average if the volume filter is enabled. (Optional) Price is above the higher timeframe baseline and signal line if the higher timeframe filter is enabled. (Optional) A bullish candlestick pattern is detected if the candlestick pattern filter is enabled. Visual Indicators: An upward-pointing label with the text "BUY" appears below the price bar. The baseline and SSL baseline lines turn to colors indicating bullish conditions. 2.Sell Signals Conditions: Price crosses below the signal line. RSI is above 30 (not oversold). MACD line is below the signal line (indicating bearish momentum). ADX is above the user-defined threshold, confirming a strong trend. (Optional) Volume is above its moving average if the volume filter is enabled. (Optional) Price is below the higher timeframe baseline and signal line if the higher timeframe filter is enabled. (Optional) A bearish candlestick pattern is detected if the candlestick pattern filter is enabled. Visual Indicators: A downward-pointing label with the text "SELL" appears above the price bar. The baseline and SSL baseline lines turn to colors indicating bearish conditions. 3.Support and Resistance Zones Interpretation: Resistance Zones: Represent areas where the price may face selling pressure. A break above these zones can signal a strong bullish move. Support Zones: Represent areas where the price may find buying interest. A break below these zones can signal a strong bearish move. Background Color: The background turns red when the price is above the maximum resistance, indicating potential overextension. The background turns green when the price is below the minimum support, indicating potential undervaluation. Effective Usage Strategies 1.Customization Adjusting Baseline and SSL Settings: Traders should experiment with different moving average types and lengths to match their trading style and the specific characteristics of the asset being analyzed. Filtering Parameters: Modify RSI, MACD, and ADX settings to fine-tune the sensitivity of the signals. Volume and Higher Timeframe Filters: Enable these filters to add robustness to the signals, especially in volatile markets or when trading higher timeframes. 2.Combining with Other Analysis Fundamental Analysis: Use the indicator in conjunction with fundamental insights to validate technical signals. Risk Management: Always apply proper risk management techniques, such as setting stop-loss and take-profit levels based on the support and resistance zones provided by the indicator. 3.Backtesting Historical Analysis: Utilize the indicator's settings to backtest trading strategies on historical data, helping to identify the most effective configurations before applying them in live trading. 4.Monitoring Market Conditions Volatility Awareness: Pay attention to the ATR and ADX readings to understand market volatility and trend strength, adjusting strategies accordingly. Event Considerations: Be cautious around major economic announcements or events that may impact market behavior beyond technical indications. Indicator Inputs and Customization Options Baseline Type and Length: Select from multiple moving average types and specify the period length. ADX Settings: Adjust the length, smoothing, and threshold for trend strength confirmation. Volume Filter: Enable or disable the volume confirmation filter. Higher Timeframe Filter: Choose to incorporate higher timeframe analysis and specify the desired timeframe. Candlestick Patterns: Enable or disable the detection of candlestick patterns for additional signal confirmation. SSL Baseline Type and Length: Customize the SSL baseline settings separately from the primary baseline. Price Action Zones Settings: Zone Thickness: Adjust the visual thickness of the support and resistance zones. Lookback Period: Define how far back the indicator looks for pivot points. ATR Multiplier for Zone Width: Set the multiplier for ATR to determine the dynamic width of the zones. Maximum Number of Zones: Limit the number of support and resistance zones displayed. Pivot Bars: Customize the number of bars to the left and right used for identifying pivot highs and lows. Conclusion The "Mars Signals - Precision Trend Analyzer with SSL Baseline & Price Action Zones" is a versatile and powerful tool that amalgamates essential technical analysis techniques into a single, user-friendly indicator. By providing clear visual signals and incorporating multiple layers of confirmation, it assists traders in identifying high-probability trading opportunities. Whether you are a day trader, swing trader, or long-term investor, this indicator can be tailored to suit your trading style and enhance your decision-making process. To maximize the benefits of this indicator: Understand Each Component: Familiarize yourself with how each part of the indicator contributes to the overall signal generation. Customize Thoughtfully: Adjust the settings based on the asset class, market conditions, and your risk tolerance. Practice Diligently: Use demo accounts or paper trading to practice and refine your strategy before deploying it in live markets. Stay Informed: Continuously educate yourself on technical analysis and market dynamics to make the most informed decisions. Disclaimer Trading financial markets involves risk, and past performance is not indicative of future results. This indicator is a tool to aid in analysis and should not be the sole basis for any trading decision. Always conduct your own research and consider consulting with a licensed financial advisor.
อินดิเคเตอร์ Pine Script®
โดย MarsSignals
Multi-Timeframe Recursive Zigzag [Trendoscope®]🎲 Welcome to the Advanced World of Zigzag Analysis Embark on a journey through the most comprehensive and feature-rich Zigzag implementation you’ll ever encounter. Our Multi-Timeframe Recursive Zigzag Indicator is not just another tool; it's a groundbreaking advancement in technical analysis. 🎯 Key Features Multi Time-Frame Support - One of the rare open-source Zigzag indicators with robust multi-timeframe capabilities, this feature sets our tool apart, enabling a broader and more dynamic market analysis. Innovative Recursive Zigzag Algorithm - At its core is our unique Recursive Zigzag Algorithm, a pioneering development that powers multiple Zigzag levels, offering an intricate view of market movements. This proprietary algorithm is the backbone of our advanced pattern recognition indicators. Sub-Waves and Micro-Waves Analysis - Dive deeper into market trends with our Sub-Waves and Micro-Waves feature. Sub-Waves reveal the interconnectedness of various Zigzag levels, while Micro-Waves offer insight into the fundamental waves at the base level. Enhanced Indicator Tracking - Integrate and track your custom indicators or oscillators with the zigzag, capturing their values at each Zigzag level, complete with retracement ratios. This offers a comprehensive view of market dynamics. Curved Zigzag Visualization - Experience a new way of visualizing market movements with our Curved Zigzag Display, employing Pine Script’s polyline feature for a more intuitive and visually appealing representation. Built-in Customizable Alerts - Stay ahead with built-in alerts that can be customized via user input settings. 🎯 Practical Applications Our Zigzag Indicator is designed with an understanding of its inherent nature - the last unconfirmed pivot that consistently repaints. This characteristic, while by design, directs its usage more towards pattern recognition rather than direct identification of market tops and bottoms. Here's how you can leverage the Zigzag Indicator: Harmonic Patterns - Ideal for those familiar with harmonic patterns, this tool simplifies the manual spotting of complex XABCD, ABC, and ABCD patterns on charts. Chart Patterns - Effortlessly identify patterns like Double/Triple Taps, Head and Shoulders, Inverse Head and Shoulders, and Cup and Handle patterns with enhanced clarity. Navigate through challenging patterns such as Triangles, Wedges, Flags, and Price Channels, where the Zigzag Indicator adds a layer of precision to your breakout strategy. Elliott Wave Components - The indicator's detailed pivot highlighting aids in identifying key Elliott Wave components, enhancing your wave analysis and decision-making process. 🎲 Deep Dive into Indicator Features Join us as we explore the intricate features of our indicator in more detail. 🎯 Multi-Timeframe Capability Our indicator comes equipped with an input option for selecting the desired resolution. This unique feature allows users to view higher timeframe Zigzag patterns directly on their lower timeframe charts. 🎯 Recursive Multi Level Zigzag Our advanced recursive approach creates multi-level Zigzags from lower-level data. For instance, the level 0 Zigzag forms the base, calculated from specified length and depth parameters, while level 1 Zigzag is derived using level 0 as its foundation, and so forth. The indicator not only displays multiple Zigzag levels but also offers settings to emphasize specific levels for more detailed analysis. 🎯 Sub-Components and Micro-Components of Zigzag Wave Sub-components within a Zigzag wave consist of the previous level's Zigzag pivots. Meanwhile, the micro-components are composed of the base level (Level 0) Zigzag pivots encapsulated within the wave. 🎯 Curved Zigzag Experience a new perspective with our curved Zigzag display. This innovative feature utilizes the polyline curved option to automatically generate sinusoidal waves based on multiple points. 🎯 Indicator Tracking Default indicators such as RSI, MFI, and OBV are included, alongside the ability to track one external indicator at each Zigzag pivot. 🎯 Customizable Alerts Our indicator employs the `alert()` function for alert creation. While this means the absence of a customization text box in the alert settings, we've included a custom text area for users to create their own alert templates. Template placeholders include: {alertType} - type of alert. Either Confirmed Pivot Update or Last Pivot Update. Depends on the alert type selected in the inputs. When Last Pivot Update type is selected, the alerts are triggered whenever there is a new Zigzag Pivot. This may also be a repaint of last unconfirmed pivot. When Confirmed Pivot Update type is selected, the alerts are triggered only when a pivot becomes a confirmed pivot. {level} - Zigzag level on which the alert is triggered. {pivot} - Details of the last pivot or confirmed pivot including price, ratio, indicator values and ratios, subcomponent and micro-component pivots. 🎲 User Settings Overview 🎯 Zigzag and Generic Settings This involves some generic zigzag calculation settings such as length, depth, and timeframe. And few display options such as theme, Highlight Level and Curved Zigzag. By default, zigzag calculation is done based on the latest real time bar. An option is provided to disable this and use only confirmed bars for the calculation. Indicator Settings Allows users to track one or more oscillators or volume indicators. Option to add any indicator via external input is provided. 🎯 Alert Settings Has input fields required to select and customize alerts.
อินดิเคเตอร์ Pine Script®
โดย Trendoscope
22
Sniffer ╭━━━╮╱╱╱╱╭━╮╭━╮ ┃╭━╮┃╱╱╱╱┃╭╯┃╭╯ ┃╰━━┳━╮╭┳╯╰┳╯╰┳━━┳━╮ ╰━━╮┃╭╮╋╋╮╭┻╮╭┫┃━┫╭╯ ┃╰━╯┃┃┃┃┃┃┃╱┃┃┃┃━┫┃ ╰━━━┻╯╰┻╯╰╯╱╰╯╰━━┻╯ Overview A vast majority of modern data analysis & modelling techniques rely upon the idea of hidden patterns, wether it is some type of visualisation tool or some form of a complex machine learning algorithm, the one thing that they have in common is the belief, that patterns tell us what’s hidden behind plain numbers. The same philosophy has been adopted by many traders & investors worldwide, there’s an entire school of thought that operates purely based on chart patterns. This is where Sniffer comes in, it is a tool designed to simplify & quantify the job of pattern recognition on any given price chart, by combining various factors & techniques that generate high-quality results. This tool analyses bars selected by the user, and highlights bar clusters on the chart that exhibit similar behaviour across multiple dimensions. It can detect a single candle pattern like hammers or dojis, or it can handle multiple candles like morning/evening stars or double tops/bottoms, and many more. In fact, the tool is completely independent of such specific candle formations, instead, it works on the idea of vector similarity and generates a degree of similarity for every single combination of candles. Only the top-n matches are highlighted, users get to choose which patterns they want to analyse and to what degree, by customising the feature-space. Background In the world of trading, a common use-case is to scan a price chart for some specific candlestick formations & price structures, and then the chart is further analysed in reference to these events. Traders are often trying to answer questions like, when was the last time price showed similar behaviour, what are the instances similar to what price is doing right now, what happens when price forms a pattern like this, what were some of other indicators doing when this happened last(RSI, CCI, ADX etc), and many other abstract ideas to have a stronger confluence or to confirm a bias.Having such a context can be vital in making better informed decisions, but doing this manually on a chart that has thousands of candles can have many disadvantages. It’s tedious, human errors are rather likely, and even if it’s done with pin-point accuracy, chances are that we’ll miss out on many pieces of information. This is the thought that gave birth to Sniffer . Sniffer tries to provide a general solution for pattern-based analysis by deploying vector-similarity computation techniques, that cover the full-breadth of a price chart and generate a list of top-n matches based on the criteria selected by the user. Most of these techniques come from the data science space, where vector similarity is often implemented to solve classification & clustering problems. Sniffer uses same principles of vector comparison, and computes a degree of similarity for every single candle formation within the selected range, and as a result generates a similarity matrix that captures how similar or dissimilar a set of candles is to the input set selected by the user. How It Works A brief overview of how the tool is implemented: - Every bar is processed, and a set of features are mapped to it. - Bars selected by the user are captured, and saved for later use. - Once the all the bars have been processed, candles are back-tracked and degree of similarity is computed for every single bar(max-limit is 5000 bars). - Degree of similarity is computed by comparing attributes like price range, candle breadth & volume etc. - Similarity matrix is sorted and top-n results are highlighted on the chart through boxes of different colors. A brief overview of the features space for bars: - Range: Difference between high & low - Body: Difference between close & open - Volume: Traded volume for that candle - Head: Upper wick for green candles & lower wick for red candles - Tail: Lower wick for green candles & upper wick for red candles - BTR: Body to Range ratio - HTR: Head to Range ratio - TTR: Tail to Range ratio - HTB: Head to Body ratio - TTB: Tail to Body ratio - ROC: Rate of change for HL2 for four different periods - RSI: Relative Strength Index - CCI: Commodity Channel Index - Stochastic: Stochastic Index - ADX: DMI+, DMI- & ADX A brief overview of how degree of similarity is calculated: - Each bar set is compared to the inout bar set within the selected feature space - Features are represented as vectors, and distance between the vectors is calculated - Shorter the distance, greater the similarity - Different distance calculation methods are available to choose from, such as Cosine, Euclidean, Lorentzian, Manhattan, & Pearson - Each method is likely to generate slightly different results, users are expected to select the method & the feature space that best fits their use-case How To Use It - Usage of this tool is relatively straightforward, users can add this indicator to their chart and similar clusters will be highlighted automatically - Users need to select a time range that will be treated as input, and bars within that range become the input formation for similarity calculations - Boxes will be draw around the clusters that fit the matching criteria - Boxes are color-coded, green color boxes represent the top one-third of the top-n matches, yellow boxes represent the middle third, red boxes are for bottom third, and white box represents user-input - Boxes colors will be adjusted as you adjust input parameters, such as number of matches or look-back period User Settings Users can configure the following options: - Select the time-range to set input bars - Select the look-back period, number of candles to backtrack for similarity search - Select the number of top-n matches to show on the chart - Select the method for similarity calculation - Adjust the feature space, this enables addition of custom features, such as pattern recognition, technical indicators, rate of change etc - Toggle verbosity, shows degree of similarity as a percentage value inside the box Top Features - Pattern Agnostic: Designed to work with variable number of candles & complex patterns - Customisable Feature Space: Users get to add custom features to each bar - Comprehensive Comparison: Generates a degree of similarity for all possible combinations Final Note - Similarity matches will be shown only within last 4500 bars. - In theory, it is possible to compute similarity for any size candle formations, indicator has been tested with formations of 50+ candles, but it is recommended to select smaller range for faster & cleaner results. - As you move to smaller time frames, selected time range will provide a larger number of candles as input, which can produce undesired results, it is advised to adjust your selection when you change time frames. Seeking suggestions on how to directly receive bars as user input, instead of time range. - At times, users may see array index out of bound error when setting up this indicator, this generally happens when the input range is not properly configured. So, it should disappear after you select the input range, still trying to figure out where it is coming from, suggestions are welcome. Credits - @HeWhoMustNotBeNamed for publishing such a handy PineScript Logger, it certainly made the job a lot easier.
อินดิเคเตอร์ Pine Script®
โดย sudoMode
47
Bjorgum Double Tap█   OVERVIEW Double Tap is a pattern recognition script aimed at detecting Double Tops and Double Bottoms. Double Tap can be applied to the broker emulator to observe historical results, run as a trading bot for live trade alerts in real time with entry signals, take profit, and stop orders, or to simply detect patterns. █   CONCEPTS How Is A Pattern Defined? Doubles are technical formations that are both reversal patterns and breakout patterns. These formations typically have a distinctive “M” or a “W” shape with price action breaking beyond the neckline formed by the center of the pattern. They can be recognized when a ​pivot fails to break when tested for a second time and the retracement that follows breaks beyond the key level opposite. This can trap entrants that were playing in the direction of the prior trend. Entries are made on the breakout with a target projected beyond the neckline equal to the height of the pattern. Pattern Recognition Patterns are recognized through the use of ​zig-zag; a method of filtering price action by connecting swing highs and lows in an alternating fashion to establish trend, ​support and resistance, or derive shapes from price action. The script looks for the highest or lowest point in a given number of bars and updates a list with the values as they form. If the levels are exceeded, the values are updated. If the direction changes and a new significant point is made, a new point is added to the list and the process starts again. Meanwhile, we scan the list of values looking for the distinctive shape to form as previously described. █   STRATEGY RESULTS Back Testing Historical back testing is the most common method to test a strategy due in part to the general ease of gathering quick results. The underlying theory is that any strategy that worked well in the past is likely to work well in the future, and conversely, any strategy that performed poorly in the past is likely to perform poorly in the future. It is easy to poke holes in this theory, however, as for one to accept it as gospel, one would have to assume that future results will match what has come to pass. The randomness of markets may see to it otherwise, so it is important to scrutinize results. Some commonly used methods are to compare to other markets or benchmarks, perform statistical analysis on the results over many iterations and on differing datasets, walk-forward testing, out-of-sample analysis, or a variety of other techniques. There are many ways to interpret the results, so it is important to do research and gain knowledge in the field prior to taking meaningful conclusions from them. 👉  In short, it would be naive to place trust in one good backtest and expect positive results to continue. For this reason, results have been omitted from this publication. Repainting Repainting is simply the difference in behaviour of a strategy in real time vs the results calculated on the historical dataset. The strategy, by default, will wait for confirmed signals and is thus designed to not repaint. Waiting for bar close for entires aligns results in the real time data feed to those calculated on historical bars, which contain far less data. By doing this we align the behaviour of the strategy on the 2 data types, which brings significance to the calculated results. To override this behaviour and introduce repainting one can select "Recalculate on every tick" from the properties tab. It is important to note that by doing this alerts may not align with results seen in the strategy tester when the chart is reloaded, and thus to do so is to forgo backtesting and restricts a strategy to forward testing only. 👉  It is possible to use this script as an indicator as opposed to a full strategy by disabling "Use Strategy" in the "Inputs" tab. Basic alerts for detection will be sent when patterns are detected as opposed to complex order syntax. For alerts mid-bar enable "Recalculate on every tick" , and for confirmed signals ensure it is disabled. █   EXIT ORDERS Limit and Stop Orders By default, the strategy will place a stop loss at the invalidation point of the pattern. This point is beyond the pattern high in the case of Double Tops, or beneath the pattern low in the case of Double Bottoms. The target or take profit point is an equal-legs measurement, or 100% of the pattern height in the direction of the pattern bias. Both the stop and the limit level can be adjusted from the user menu as a percentage of the pattern height. Trailing Stops Optional from the menu is the implementation of an ATR based trailing stop. The trailing stop is designed to begin when the target projection is reached. From there, the script looks back a user-defined number of bars for the highest or lowest point +/- the ATR value. For tighter stops the user can look back a lesser number of bars, or decrease the ATR multiple. When using either Alertatron or Trading Connector, each change in the trail value will trigger an alert to update the stop order on the exchange to reflect the new trail price. This reduces latency and slippage that can occur when relying on alerts only as real exchange orders fill faster and remain in place in the event of a disruption in communication between your strategy and the exchange, which ensures a higher level of safety. 👉  It is important to note that in the case the trailing stop is enabled, limit orders are excluded from the exit criteria. Rather, the point in time that the limit value is exceeded is the point that the trail begins. As such, this method will exit by stop loss only. █   ALERTS Five Built-in 3rd Party Destinations The following are five options for delivering alerts from Double Tap to live trade execution via third party ​API solutions or chat bots to share your trades on social media. These destinations can be selected from the input menu and alert syntax will automatically configure in alerts appropriately to manage trades. Custom JSON JSON, or JavaScript Object Notation, is a readable format for structuring data. It is used primarily to transmit data between a server and a web application. In regards to this script, this may be a custom intermediary web application designed to catch alerts and interface with an exchange ​API. The JSON message is a trade map for an application to read equipped with where its been, where its going, targets, stops, quantity; a full diagnostic of the current state and its previous state. A web application could be configured to follow the messages sent in this format and conduct trades in sync with alerts running on the TV server. Below is an example of a rendered JSON alert: { "passphrase": "1234", "time": "2022-05-01T17:50:05Z", "ticker": "ETHUSDTPERP", "plot": { "stop_price": 2600.15, "limit_price": 3100.45 }, "strategy": { "position_size": 0.1, "order_action": "buy", "market_position": "long", "market_position_size": 0, "prev_market_position": "flat", "prev_market_position_size": 0 } } Trading Connector Trading Connector is a third party fully autonomous Chrome extension designed to catch alert webhooks from TradingView and interface with MT4/MT5 to execute live trades from your machine. Alerts to Trading Connector are simple; just select the destination from the input drop down menu, set your ticker in the "TC Ticker" box in the "Alert Strings" section and enter your URL in the alert window when configuring your alert. Alertatron Alertatron is an automated algo platform for cryptocurrency trading that is designed to automate your trading strategies. Although the platform is currently restricted to crypto, it offers a versatile interface with high flexibility syntax for complex market orders and conditions. To direct alerts to Alertatron, select the platform from the 3rd party drop down, configure your ​API key in the ”Alertatron Key” box and add your URL in the alert message box when making alerts. 3 Commas 3 Commas is an easy and quick to use click-and-go third party crypto ​API solution. Alerts are simple without overly complex syntax. Messages are simply pasted into alerts and executed as alerts are triggered. There are 4 boxes at the bottom of the "Inputs" tab where the appropriate messages to be placed. These messages can be copied from 3 Commas after the bots are set up and pasted directly into the settings menu. Remember to select 3 Commas as a destination from the third party drop down and place the appropriate URL in the alert message window. Discord Some may wish to share their trades with their friends in a Discord chat via webhook chat bot. Messages are configured to notify of the pattern type with targets and stop values. A bot can be configured through the integration menu in a Discord chat to which you have appropriate access. Select Discord from the 3rd party drop down menu and place your chat bot URL in the alert message window when configuring alerts. 👉  For further information regarding alert setup, refer to the platform specific instructions given by the chosen third party provider. █   IMPORTANT NOTES Setting Alerts For alert messages to be properly delivered on order fills it is necessary to place the following placeholder in the alert message box when creating an alert. {{strategy.order.alert_message}} This placeholder will auto-populate the alert message with the appropriate syntax that is designated for the 3rd party selected in the user menu. Order Sizing and Commissions The values that are sent in alert messages are populated from live metrics calculated by the strategy. This means that the actual values in the "Properties" tab are used and must be set by the user. The initial capital, order size, commission, etc. are all used in the calculations, so it is important to set these prior to executing live trades. Be sure to set the commission to the values used by the exchange as well. 👉  It is important to understand that the calculations on the account size take place from the beginning of the price history of the strategy. This means that if historical results have inflated or depleted the account size from the beginning of trade history until now, the values sent in alerts will reflect the calculated size based on the inputs in the "Properties" tab. To start fresh, the user must set the date in the "Inputs" tab to the current date as to remove trades from the trade history. Failure to follow this instruction can result in an unexpected order size being sent in the alert. █   FOR PINECODERS  • With the recent introduction of matrices in Pine, the script utilizes a matrix to track ​pivot points with the bars they occurred on, while tracking if that ​pivot has been traded against to prevent duplicate detections after a trade is exited.  • Alert messages are populated with placeholders ; capability that previously was only possible in alertcondition() , but has recently been extended to `strategy.*()` functions for use in the `alert_message` argument. This allows delivery of live trade values to populate in strategy alert messages.  • New arguments have been added to strategy.exit() , which allow differentiated messages to be sent based on whether the exit occurred at the stop or the limit. The new arguments used in this script are `alert_profit` and `alert_loss` to send messages to Discord
กลยุทธ์ Pine Script®
โดย Bjorgum
79
Institutional Levels (CNN) - [PhenLabs]📊Institutional Levels (Convolutional Neural Network-inspired) Version : PineScript™v6 📌Description The CNN-IL Institutional Levels indicator represents a breakthrough in automated zone detection technology, combining convolutional neural network principles with advanced statistical modeling. This sophisticated tool identifies high-probability institutional trading zones by analyzing pivot patterns, volume dynamics, and price behavior using machine learning algorithms. The indicator employs a proprietary 9-factor logistic regression model that calculates real-time reaction probabilities for each detected zone. By incorporating CNN-inspired filtering techniques and dynamic zone management, it provides traders with unprecedented accuracy in identifying where institutional money is likely to react to price action. 🚀Points of Innovation ● CNN-Inspired Pivot Analysis - Advanced binning system using convolutional neural network principles for superior pattern recognition ● Real-Time Probability Engine - Live reaction probability calculations using 9-factor logistic regression model ● Dynamic Zone Intelligence - Automatic zone merging using Intersection over Union (IoU) algorithms ● Volume-Weighted Scoring - Time-of-day volume Z-score analysis for enhanced zone strength assessment ● Adaptive Decay System - Intelligent zone lifecycle management based on touch frequency and recency ● Multi-Filter Architecture - Optional gradient, smoothing, and Difference of Gaussians (DoG) convolution filters 🔧Core Components ● Pivot Detection Engine - Advanced pivot identification with configurable left/right bars and ATR-normalized strength calculations ● Neural Network Binning - Price level clustering using CNN-inspired algorithms with ATR-based bin sizing ● Logistic Regression Model - 9-factor probability calculation including distance, width, volume, VWAP deviation, and trend analysis ● Zone Management System - Intelligent creation, merging, and decay algorithms for optimal zone lifecycle control ● Visualization Layer - Dynamic line drawing with opacity-based scoring and optional zone fills 🔥Key Features ● High-Probability Zone Detection - Automatically identifies institutional levels with reaction probabilities above configurable thresholds ● Real-Time Probability Scoring - Live calculation of zone reaction likelihood using advanced statistical modeling ● Session-Aware Analysis - Optional filtering to specific trading sessions for enhanced accuracy during active market hours ● Customizable Parameters - Full control over lookback periods, zone sensitivity, merge thresholds, and probability models ● Performance Optimized - Efficient processing with controlled update frequencies and pivot processing limits ● Non-Repainting Mode - Strict mode available for backtesting accuracy and live trading reliability 🎨Visualization ● Dynamic Zone Lines - Color-coded support and resistance levels with opacity reflecting zone strength and confidence scores ● Probability Labels - Real-time display of reaction probabilities, touch counts, and historical hit rates for active zones ● Zone Fills - Optional semi-transparent zone highlighting for enhanced visual clarity and immediate pattern recognition ● Adaptive Styling - Automatic color and opacity adjustments based on zone scoring and statistical significance 📖Usage Guidelines ● Lookback Bars - Default 500, Range 100-1000, Controls the historical data window for pivot analysis and zone calculation ● Pivot Left/Right - Default 3, Range 1-10, Defines the pivot detection sensitivity and confirmation requirements ● Bin Size ATR units - Default 0.25, Range 0.1-2.0, Controls price level clustering granularity for zone creation ● Base Zone Half-Width ATR units - Default 0.25, Range 0.1-1.0, Sets the minimum zone width in ATR units for institutional level boundaries ● Zone Merge IoU Threshold - Default 0.5, Range 0.1-0.9, Intersection over Union threshold for automatic zone merging algorithms ● Max Active Zones - Default 5, Range 3-20, Maximum number of zones displayed simultaneously to prevent chart clutter ● Probability Threshold for Labels - Default 0.6, Range 0.3-0.9, Minimum reaction probability required for zone label display and alerts ● Distance Weight w1 - Controls influence of price distance from zone center on reaction probability ● Width Weight w2 - Adjusts impact of zone width on probability calculations ● Volume Weight w3 - Modifies volume Z-score influence on zone strength assessment ● VWAP Weight w4 - Controls VWAP deviation impact on institutional level significance ● Touch Count Weight w5 - Adjusts influence of historical zone interactions on probability scoring ● Hit Rate Weight w6 - Controls prior success rate impact on future reaction likelihood predictions ● Wick Penetration Weight w7 - Modifies wick penetration analysis influence on probability calculations ● Trend Weight w8 - Adjusts trend context impact using ADX analysis for directional bias assessment ✅Best Use Cases ● Swing Trading Entries - Enter positions at high-probability institutional zones with 60%+ reaction scores ● Scalping Opportunities - Quick entries and exits around frequently tested institutional levels ● Risk Management - Use zones as dynamic stop-loss and take-profit levels based on institutional behavior ● Market Structure Analysis - Identify key institutional levels that define current market structure and sentiment ● Confluence Trading - Combine with other technical indicators for high-probability trade setups ● Session-Based Strategies - Focus analysis during high-volume sessions for maximum effectiveness ⚠️Limitations ● Historical Pattern Dependency - Algorithm effectiveness relies on historical patterns that may not repeat in changing market conditions ● Computational Intensity - Complex calculations may impact chart performance on lower-end devices or with multiple indicators ● Probability Estimates - Reaction probabilities are statistical estimates and do not guarantee actual market outcomes ● Session Sensitivity - Performance may vary significantly between different market sessions and volatility regimes ● Parameter Sensitivity - Results can be highly dependent on input parameters requiring optimization for different instruments 💡What Makes This Unique ● CNN Architecture - First indicator to apply convolutional neural network principles to institutional-level detection ● Real-Time ML Scoring - Live machine learning probability calculations for each zone interaction ● Advanced Zone Management - Sophisticated algorithms for zone lifecycle management and automatic optimization ● Statistical Rigor - Comprehensive 9-factor logistic regression model with extensive backtesting validation ● Performance Optimization - Efficient processing algorithms designed for real-time trading applications 🔬How It Works ● Multi-timeframe pivot identification - Uses configurable sensitivity parameters for advanced pivot detection ● ATR-normalized strength calculations - Standardizes pivot significance across different volatility regimes ● Volume Z-score integration - Enhanced pivot weighting based on time-of-day volume patterns ● Price level clustering - Neural network binning algorithms with ATR-based sizing for zone creation ● Recency decay applications - Weights recent pivots more heavily than historical data for relevance ● Statistical filtering - Eliminates low-significance price levels and reduces market noise ● Dynamic zone generation - Creates zones from statistically significant pivot clusters with minimum support thresholds ● IoU-based merging algorithms - Combines overlapping zones while maintaining accuracy using Intersection over Union ● Adaptive decay systems - Automatic removal of outdated or low-performing zones for optimal performance ● 9-factor logistic regression - Incorporates distance, width, volume, VWAP, touch history, and trend analysis ● Real-time scoring updates - Zone interaction calculations with configurable threshold filtering ● Optional CNN filters - Gradient detection, smoothing, and Difference of Gaussians processing for enhanced accuracy 💡Note This indicator represents advanced quantitative analysis and should be used by traders familiar with statistical modeling concepts. The probability scores are mathematical estimates based on historical patterns and should be combined with proper risk management and additional technical analysis for optimal trading decisions.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
4