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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.

Penunjuk Pine Script®

oleh DskyzInvestments

Telah dikemas kini

Scanner Candles v2.01 The "Scanner Candle v.2.01" is an indicator classifies candles based on the body/range ratio: indecisive (small body, ≤50%), decisive (medium body), explosive (large body, ≥70%). It includes EMAs to identify trends and "Reset Candles" (RC), small-bodied candles near EMAs, signaling potential reversals or continuations. Useful for analyzing volatility, breakouts, reversals, and risk management. Description of the indicator: The "Scanner Candle v.2.01" indicator classifies candles into three categories based on the proportion of the candle's body to its range (high-low): Indecisive: candles with a small body (≤ set threshold, default 50%), indicating low volatility or market uncertainty. Decisive: candles with a medium body, reflecting a clear but not extreme price movement. Explosive: candles with a large body (≥ set threshold, default 70%), signaling strong directional moves. Additionally, the indicator includes: Customizable exponential moving averages (EMAs) to identify trends and support/resistance levels. Detection of "Reset Candles" (RC), specific candles (e.g., dojis, ) with a small bodies body near EMAs, useful for identifying potential reversal or continuation points. Coloring and visualization: Candles are colored by category (white for indecisive, orange for decisive, purple for explosive). Reset Candles are marked with circles above/below the candle (green for bullish, red for bearish). Potential uses: Volatility analysis: Identifying uncertain (indecisive), directional (decisive), or impulsive (explosive) market phases. Breakout trading: Explosive candles can signal entry opportunities on strong moves. Reversal detection: Reset Candles near EMAs can indicate turning points or trend continuation. Trend-following support: Integrated EMAs contextualize candles within the main trend. Risk management: Indecisive candles suggest avoiding trades in low-directionality phases. The indicator is customizable (thresholds, colors, thresholdsEMAs, ) and adaptable to various timeframes and strategies, from day trading to swing trading. Reset Candles: Reset Candles (RC) are specific candles signaling potential reversals or continuations, often near EMAs. They are defined by: Small body: Body < 5% of the range of the last 10 candles, indicating low volatility (e.g., doji). EMA proximity: The candle is near or crosses a defined EMA (e.g., 10, 60, or 223 periods). Trend conditions: Follows a red candle, with the close of the previous previous candles above a specific EMA, suggesting a potential bullish resumption or stabilization. Limited spike: The candle has minimal tails (spikes, ) below a set threshold (default 1%). Minimum timeframe: Appears on timeframes ≥ set value (default 5 minutes) or daily charts. Non-consecutive: Not preceded by other RCs in the last 3 candles. Types: Doji_fin: Green circle above, signaling a bullish bullish setup near longer EMAs. Dojifin_2: Yellow Red circle below, signaling a bearish setup near shorter EMAs. Trading uses: Reversal: RCs near EMAs signal bounces or rejections, ideal for counter-trend trades. Continuation: In trends, RCs indicate pauses before trend resumption, offering low-risk entries. Support/resistance confirmation: EMA proximity strengthens the level's significance. Risk management: Small bodies and EMA proximity allow tight stop-losses. Limitations: False signals: Common in volatile or sideways markets; use with additional confirmation. Timeframe dependency: More reliable on higher timeframes (e.g., 1-hour or daily). Customization needed: Thresholds (e.g., spike, timeframe) must be tailored to the market. Conclusion: Reset Candles highlight low-volatility moments near technical levels (EMAs) that may precede significant moves. They are ideal for precise entries with tight stops in reversal or continuation strategies but require clear market context and additional confirmation for optimal effectiveness. #ema #candlepattern #scalping

Penunjuk Pine Script®

Support & Resistance What is this script ? Pivot points are tools used to identify potential support and resistance levels in trading. They are calculated using the previous period’s high, low, and close prices. This script leverages pivot points to plot up to four support levels and four resistance levels, helping traders visualize key price zones. How to Use the Script? Support and resistance levels represent price zones where significant liquidity often exists due to past price interactions. These levels are critical for traders to: Assess Trend Continuation or Reversal: Prices may pause, reverse, or break through at these levels, signaling potential trend changes or continuations. Manage Risk: Support and resistance levels are ideal for placing stop-loss orders or setting profit targets, as they indicate areas where price reactions are likely. Plan Entries and Exits: Traders can buy near support levels, sell near resistance levels, or trade breakouts when prices move decisively beyond these zones.

Penunjuk Pine Script®

oleh bricevalentin

Adaptive Cycle Oscillator with EMA Description of the Adaptive Cycle Oscillator with EMA Pine Script This Pine Script, titled "Adaptive Cycle Oscillator with EMA", is a custom technical indicator designed for TradingView to help traders analyze market cycles and identify potential buy or sell opportunities. It combines an Adaptive Cycle Oscillator (ACO) with multiple Exponential Moving Averages (EMAs), displayed as colorful, wavy lines, and includes features like buy/sell signals and divergence detection. Below is a beginner-friendly explanation of how the script works, adhering to TradingView's Script Publishing Rules. What This Indicator Does The Adaptive Cycle Oscillator with EMA helps you: Visualize market cycles using an oscillator that adapts to price movements. Track trends with seven EMAs of different lengths, plotted as a rainbow of wavy lines. Identify potential buy or sell signals when the oscillator crosses predefined thresholds. Spot divergences between the oscillator and price to anticipate reversals. Use customizable settings to adjust the indicator to your trading style. Note: This is a technical analysis tool and does not guarantee profits. Always combine it with other analysis methods and practice risk management. Step-by-Step Explanation for New Users 1. Understanding the Indicator Adaptive Cycle Oscillator (ACO): The ACO analyzes price data (based on high, low, and close prices, or HLC3) to detect market cycles. It smooths price movements to create an oscillator that swings between overbought and oversold levels. EMAs: Seven EMAs of different lengths are applied to the ACO and scaled based on the market's dominant cycle. These EMAs are plotted as colorful, wavy lines to show trend direction. Buy/Sell Signals: The script generates signals when the ACO crosses above or below user-defined thresholds, indicating potential entry or exit points. Divergence Detection: The script identifies bullish or bearish divergences between the ACO and the fastest EMA, which may signal potential reversals. Visual Style: The indicator uses a rainbow of seven colors (red, orange, yellow, green, blue, indigo, violet) for the EMAs, with wavy lines for a unique visual effect. Static levels (zero, overbought, oversold) are also wavy for consistency. 2. How to Add the Indicator to Your Chart Open TradingView and load the chart of any asset (e.g., stock, forex, crypto). Click on the Indicators button at the top of the chart. Search for "Adaptive Cycle Oscillator with EMA" (or paste the script into TradingView’s Pine Editor if you have access to it). Click to add the indicator to your chart. It will appear in a separate panel below the price chart. 3. Customizing the Indicator The script offers several input options to tailor it to your needs: Base Cycle Length (Default: 20): Sets the initial period for calculating the dominant cycle. Higher values make the indicator slower; lower values make it more sensitive. Alpha Smoothing (Default: 0.07): Controls how much the ACO smooths price data. Smaller values produce smoother results. Show Buy/Sell Signals (Default: True): Toggle to display green triangles (buy) and red triangles (sell) on the chart. Threshold (Default: 0.0): Defines overbought (above threshold) and oversold (below threshold) levels. Adjust to widen or narrow signal zones. EMA Base Length (Default: 10): Sets the starting length for the fastest EMA. Other EMAs are incrementally longer (12, 14, 16, etc.). Divergence Lookback (Default: 14): Determines how far back the script looks to detect divergences. To adjust these: Right-click the indicator on your chart and select Settings. Modify the inputs in the pop-up window. Click OK to apply changes. 4. Reading the Indicator Oscillator and EMAs: The ACO and seven EMAs are plotted in a separate panel. The EMAs (colored lines) move in a wavy pattern: Red (fastest) to Violet (slowest) represent different response speeds. When the faster EMAs (e.g., red, orange) are above slower ones (e.g., blue, violet), it suggests bullish momentum, and vice versa. Zero Line: A gray wavy line at zero acts as a neutral level. The ACO above zero indicates bullish conditions; below zero indicates bearish conditions. Overbought/Oversold Lines: Red (overbought) and green (oversold) wavy lines mark threshold levels. Extreme ACO values near these lines may suggest reversals. Buy/Sell Signals: Green Triangle (Bottom): Appears when the ACO crosses above the oversold threshold, suggesting a potential buy. Red Triangle (Top): Appears when the ACO crosses below the overbought threshold, suggesting a potential sell. Divergences: Green Triangle (Bottom): Indicates a bullish divergence (price makes a lower low, but the EMA makes a higher low), hinting at a potential upward reversal. Red Triangle (Top): Indicates a bearish divergence (price makes a higher high, but the EMA makes a lower high), hinting at a potential downward reversal. 5. Using Alerts You can set alerts for key events: Right-click the indicator and select Add Alert. Choose a condition (e.g., "ACO Buy Signal", "Bullish Divergence"). Configure the alert settings (e.g., notify via email, app, or pop-up). Click Create to activate the alert. Available alert conditions: ACO Buy Signal: When the ACO crosses above the oversold threshold. ACO Sell Signal: When the ACO crosses below the overbought threshold. Bullish Divergence: When a potential upward reversal is detected. Bearish Divergence: When a potential downward reversal is detected. 6. Tips for Using the Indicator Combine with Other Tools: Use the indicator alongside support/resistance levels, candlestick patterns, or other indicators (e.g., RSI, MACD) for confirmation. Test on Different Timeframes: The indicator works on any timeframe (e.g., 1-minute, daily). Shorter timeframes may produce more signals but with more noise. Practice Risk Management: Never rely solely on this indicator. Set stop-losses and position sizes to manage risk. Backtest First: Use TradingView’s Strategy Tester (if you convert the script to a strategy) to evaluate performance on historical data. Compliance with TradingView’s Script Publishing Rules This description adheres to TradingView’s Script Publishing Rules (as outlined in the provided link): No Performance Claims: The description avoids promising profits or specific results, emphasizing that the indicator is a tool for analysis. Clear Instructions: It provides step-by-step guidance for adding, customizing, and using the indicator. Risk Disclaimer: It notes that trading involves risks and the indicator should be used with other analysis methods. No Misleading Terms: Terms like “buy” and “sell” are used to describe signals, not guaranteed actions. Transparency: The description explains the indicator’s components (ACO, EMAs, signals, divergences) without exaggerating its capabilities. No External Links: The description avoids linking to external resources or soliciting users. Educational Tone: It focuses on educating users about the indicator’s functionality. Limitations Not a Standalone System: The indicator is not a complete trading strategy. It provides insights but requires additional analysis. Lagging Nature: As with most oscillators and EMAs, signals may lag behind price movements, especially in fast markets. False Signals: Signals and divergences may not always lead to successful trades, particularly in choppy markets. Market Dependency: Performance varies across assets and market conditions (e.g., trending vs. ranging markets).

Penunjuk Pine Script®

oleh TRADINGINDICATORPRO

QQQ NQ NDX SPY SPX ES Price Convert Overlay _____________________________________________________________________ QQQ NQ NDX SPY SPX ES Price Convert Overlay Indicator ____________________ This 'Prices Overlay' indicator is a minimalist tool for traders who want to track and compare Nasdaq and S&P 500 instruments quickly and clearly, boosting efficiency and decision-making with minimal distraction. How to Use It ____________________ Add the indicator onto your TradingView chart. Adjust your Right Margin in TradingView Settings > Canvas to show as much or as little of the line as you want, based on the "Price Buffer" indicator setting. Select which instruments to overlay (e.g., QQQ, SPX). Adjust levels, buffer, font, transparency, and update interval. Features and Functions ____________________ 1. Automatic Ticker Detection: The indicator identifies the ticker of your current chart (e.g., NQ, ES, SPY). It then shows price levels for related instruments, eg: On an NQ or MNQ chart, it can display QQQ or NDX levels. On an ES or MES chart, it can display SPY or SPX levels. ...and vice versa 2. Adjustable Number of Levels You can choose how many price levels to show, from 10 to 100. This lets you decide how much detail you want based on your trading needs. 3. Visual Customization Price Buffer: Move the lines and labels horizontally closer/further price action. Font Size: Pick from "Tiny," "Small," or "Normal" for label text size. Line Transparency: Adjust the opacity of the lines (0% = solid, 100% = invisible) to blend them with your chart. 4. Support for Micro Futures Works with both regular futures (NQ, ES) and micro futures (MNQ, MES), perfect for traders using smaller contract sizes. 5. Update Frequency Set how often the price levels refresh, from every 5 seconds to every 60 seconds. This keeps the data current without slowing down your chart. 6. Accurate Price Conversion Uses specific multipliers for each instrument (e.g., 100.0 for NDX and SPX, 1.0 for QQQ and SPY) to calculate and display price levels correctly. Fetches real-time prices and converts them to match your chart’s scale. Price conversions courtesy of PtGambler. Benefits ____________________ Easier Analysis: See how prices from different instruments line up on one chart—no need for multiple screens or math. Customizable: Turn on/off instruments and tweak visuals to fit your trading style. Time-Saving: Automates price conversions, letting you focus on trading decisions. Thanks! ____________________ Thank you for your interest in my work. This is something I use every day for my trading and wanted to share it with the public. If you have any comments, bugs, or suggestions, please leave them here, or you can find me on Twitter or Discord. @ ContrarianIRL Open-source developer for over 25 years

Penunjuk Pine Script®

oleh ContrarianIRL

Telah dikemas kini

Wavelet-Trend ML Integration [Alpha Extract]Alpha-Extract Volatility Quality Indicator The Alpha-Extract Volatility Quality (AVQ) Indicator provides traders with deep insights into market volatility by measuring the directional strength of price movements. This sophisticated momentum-based tool helps identify overbought and oversold conditions, offering actionable buy and sell signals based on volatility trends and standard deviation bands. 🔶 CALCULATION The indicator processes volatility quality data through a series of analytical steps: Bar Range Calculation: Measures true range (TR) to capture price volatility. Directional Weighting: Applies directional bias (positive for bullish candles, negative for bearish) to the true range. VQI Computation: Uses an exponential moving average (EMA) of weighted volatility to derive the Volatility Quality Index (VQI). Smoothing: Applies an additional EMA to smooth the VQI for clearer signals. Normalization: Optionally normalizes VQI to a -100/+100 scale based on historical highs and lows. Standard Deviation Bands: Calculates three upper and lower bands using standard deviation multipliers for volatility thresholds. Signal Generation: Produces overbought/oversold signals when VQI reaches extreme levels (±200 in normalized mode). Formula: Bar Range = True Range (TR) Weighted Volatility = Bar Range × (Close > Open ? 1 : Close < Open ? -1 : 0) VQI Raw = EMA(Weighted Volatility, VQI Length) VQI Smoothed = EMA(VQI Raw, Smoothing Length) VQI Normalized = ((VQI Smoothed - Lowest VQI) / (Highest VQI - Lowest VQI) - 0.5) × 200 Upper Band N = VQI Smoothed + (StdDev(VQI Smoothed, VQI Length) × Multiplier N) Lower Band N = VQI Smoothed - (StdDev(VQI Smoothed, VQI Length) × Multiplier N) 🔶 DETAILS Visual Features: VQI Plot: Displays VQI as a line or histogram (lime for positive, red for negative). Standard Deviation Bands: Plots three upper and lower bands (teal for upper, grayscale for lower) to indicate volatility thresholds. Reference Levels: Horizontal lines at 0 (neutral), +100, and -100 (in normalized mode) for context. Zone Highlighting: Overbought (⋎ above bars) and oversold (⋏ below bars) signals for extreme VQI levels (±200 in normalized mode). Candle Coloring: Optional candle overlay colored by VQI direction (lime for positive, red for negative). Interpretation: VQI ≥ 200 (Normalized): Overbought condition, strong sell signal. VQI 100–200: High volatility, potential selling opportunity. VQI 0–100: Neutral bullish momentum. VQI 0 to -100: Neutral bearish momentum. VQI -100 to -200: High volatility, strong bearish momentum. VQI ≤ -200 (Normalized): Oversold condition, strong buy signal. 🔶 EXAMPLES Overbought Signal Detection: When VQI exceeds 200 (normalized), the indicator flags potential market tops with a red ⋎ symbol. Example: During strong uptrends, VQI reaching 200 has historically preceded corrections, allowing traders to secure profits. Oversold Signal Detection: When VQI falls below -200 (normalized), a lime ⋏ symbol highlights potential buying opportunities. Example: In bearish markets, VQI dropping below -200 has marked reversal points for profitable long entries. Volatility Trend Tracking: The VQI plot and bands help traders visualize shifts in market momentum. Example: A rising VQI crossing above zero with widening bands indicates strengthening bullish momentum, guiding traders to hold or enter long positions. Dynamic Support/Resistance: Standard deviation bands act as dynamic volatility thresholds during price movements. Example: Price reversals often occur near the third standard deviation bands, providing reliable entry/exit points during volatile periods. 🔶 SETTINGS Customization Options: VQI Length: Adjust the EMA period for VQI calculation (default: 14, range: 1–50). Smoothing Length: Set the EMA period for smoothing (default: 5, range: 1–50). Standard Deviation Multipliers: Customize multipliers for bands (defaults: 1.0, 2.0, 3.0). Normalization: Toggle normalization to -100/+100 scale and adjust lookback period (default: 200, min: 50). Display Style: Switch between line or histogram plot for VQI. Candle Overlay: Enable/disable VQI-colored candles (lime for positive, red for negative). The Alpha-Extract Volatility Quality Indicator empowers traders with a robust tool to navigate market volatility. By combining directional price range analysis with smoothed volatility metrics, it identifies overbought and oversold conditions, offering clear buy and sell signals. The customizable standard deviation bands and optional normalization provide precise context for market conditions, enabling traders to make informed decisions across various market cycles.

Penunjuk Pine Script®

oleh AlphaExtract

Super MTF Clouds (4x3 Pairs)Overview: This script is based on Ripster's MTF clouds, which transcends the standard moving average cloud indicator by offering a powerful and deeply customizable Multi-Timeframe (MTF) analysis. Instead of being limited to the moving averages of your current charts from the current timeframe, this tool allows you to project and visualize the trend and key support/resistance zones from up to 4 different timeframes simultaneously. User can input up to 6 different EMA values which will form 3 pairs of EMA clouds, for each of the timeframes. The primary purpose is to provide traders with immediate confluence. By observing how price interacts with moving average clouds from higher timeframes (e.g., Hourly, Daily, Weekly), you can make more informed decisions on your active trading timeframe (e.g., 10 Minute). It's designed as a complete MTF Cloud toolkit, allowing you to display all necessary MTFs in a single script to build a comprehensive view of the market structure without having to flick to different timeframe to look for cloud positions. Key features: Four Independent Multi-Timeframe Slots: Each slot can be assigned any timeframe available on TradingView (e.g., D, W, M, 4H). Three MA Pairs Per Timeframe: For each timeframe, configure up to three separate MA clouds (e.g., a 9/12 EMA pair, a 20/50 EMA pair, and a 100/200 SMA pair). Complete Customisation: For every single moving average (24 in total), you can independently control: MA Type: Choose between EMA or SMA. Length: Any period you require. Line Color: Full colour selection. Line Thickness: Adjust the visual weight of each line. Cloud Control: For every pair (12 in total), you can set the fill colour and transparency. How To Use This Script: This tool is best used for confirmation and context. Here are some practical strategies that one can adopt: Trend Confluence: Before taking a trade based on a signal on your current timeframe, glance at the higher timeframe clouds. If you see a buy signal on the 15-minute chart and the price is currently trading above a thick, bullish Daily cloud, the probability of that trade succeeding is significantly higher. Conversely, shorting into strong HTF support is a low-probability trade. Dynamic Support & Resistance: The edges of the higher timeframe clouds often act as powerful, dynamic levels of support and resistance. A pullback to the 4-Hour 50 EMA on your 15-minute chart can be a prime area to look for entries in the direction of the larger trend. Gauging Market Regimes: Use the toggles in the settings to quickly switch between different views. You can have a "risk-on" view with short-term clouds and a "macro" view with weekly and monthly clouds. This helps you adapt your trading style to the current market conditions. Key Settings: 1. Global Setting Source For All MAs: This determines the price data point used for every single moving average calculation. Default: hl2 (an average of the High and Low of each bar). This gives a smooth midpoint price. Options: You can change this to Close (the most common method), Open, High, Low, or ohlc4 (an average of the open, high, low, and close), among others. Recommendation: For most standard trend analysis, the default hl2 is the common choice. 2. The Timeframe Group Structure The rest of the settings are organized into four identical, collapsible groups: "Timeframe 1 Settings" through "Timeframe 4 Settings". Each group acts as a self-contained control panel for one multi-timeframe view. Within each timeframe group, you have two master controls: Enable Timeframe: This is the main power switch for the entire group. Uncheck this box to instantly hide all three clouds and lines associated with this timeframe. This is perfect for quickly decluttering your chart or focusing on a different set of analyses. Timeframe: This dropdown menu is the heart of the MTF feature. Here, you select the higher timeframe you want to analyse (e.g., 1D for Daily, 1W for Weekly, 4H for 4-Hour). All calculations for the three pairs within this group will be based on the timeframe you select here. 3. Pair-Specific Controls Inside each timeframe group, there are three sections for "Pair 1", "Pair 2", and "Pair 3". These control each individual moving average cloud. Enable Pair: Just like the master switch for the timeframe, this checkbox turns a single cloud and its two MA lines on or off. For each pair, the settings are further broken down: Moving Average Lines (A and B): These two rows control the two moving averages that form the cloud. 'A' is typically used for the shorter-period MA and 'B' for the longer-period one. Type (A/B): A dropdown menu to select either EMA (Exponential Moving Average) or SMA (Simple Moving Average). EMAs react more quickly to recent price changes, while SMAs are smoother and react more slowly. Length (A/B): The lookback period for the moving average (e.g., 21, 50, 200). Color (A/B): Sets the specific colour of the MA line itself on your chart. Cloud Fill Settings Fill Color: This controls the colour of the shaded area (the "cloud") between the two moving average lines. For a consistent look, you can set this to the same colour as your shorter MA line. Transparency: Controls how see-through the cloud is, on a scale of 0 to 100. 0 is a solid, opaque colour, while 100 is completely invisible. The default of 85 provides a light, "cloud-like" appearance that doesn't obscure the price action. ---------------------------------------------------------------------- If anything is not clear please let me know!

Penunjuk Pine Script®

Long/Short/Exit/Risk management Strategy # LongShortExit Strategy Documentation ## Overview The LongShortExit strategy is a versatile trading system for TradingView that provides complete control over entry, exit, and risk management parameters. It features a sophisticated framework for managing long and short positions with customizable profit targets, stop-loss mechanisms, partial profit-taking, and trailing stops. The strategy can be enhanced with continuous position signals for visual feedback on the current trading state. ## Key Features ### General Settings - **Trading Direction**: Choose to trade long positions only, short positions only, or both. - **Max Trades Per Day**: Limit the number of trades per day to prevent overtrading. - **Bars Between Trades**: Enforce a minimum number of bars between consecutive trades. ### Session Management - **Session Control**: Restrict trading to specific times of the day. - **Time Zone**: Specify the time zone for session calculations. - **Expiration**: Optionally set a date when the strategy should stop executing. ### Contract Settings - **Contract Type**: Select from common futures contracts (MNQ, MES, NQ, ES) or custom values. - **Point Value**: Define the dollar value per point movement. - **Tick Size**: Set the minimum price movement for accurate calculations. ### Visual Signals - **Continuous Position Signals**: Implement 0 to 1 visual signals to track position states. - **Signal Plotting**: Customize color and appearance of position signals. - **Clear Visual Feedback**: Instantly see when entry conditions are triggered. ### Risk Management #### Stop Loss and Take Profit - **Risk Type**: Choose between percentage-based, ATR-based, or points-based risk management. - **Percentage Mode**: Set SL/TP as a percentage of entry price. - **ATR Mode**: Set SL/TP as a multiple of the Average True Range. - **Points Mode**: Set SL/TP as a fixed number of points from entry. #### Advanced Exit Features - **Break-Even**: Automatically move stop-loss to break-even after reaching specified profit threshold. - **Trailing Stop**: Implement a trailing stop-loss that follows price movement at a defined distance. - **Partial Profit Taking**: Take partial profits at predetermined price levels: - Set first partial exit point and percentage of position to close - Set second partial exit point and percentage of position to close - **Time-Based Exit**: Automatically exit a position after a specified number of bars. #### Win/Loss Streak Management - **Streak Cutoff**: Automatically pause trading after a series of consecutive wins or losses. - **Daily Reset**: Option to reset streak counters at the start of each day. ### Entry Conditions - **Source and Value**: Define the exact price source and value that triggers entries. - **Equals Condition**: Entry signals occur when the source exactly matches the specified value. ### Performance Analytics - **Real-Time Stats**: Track important performance metrics like win rate, P&L, and largest wins/losses. - **Visual Feedback**: On-chart markers for entries, exits, and important events. ### External Integration - **Webhook Support**: Compatible with TradingView's webhook alerts for automated trading. - **Cross-Platform**: Connect to external trading systems and notification platforms. - **Custom Order Execution**: Implement advanced order flows through external services. ## How to Use ### Setup Instructions 1. Add the script to your TradingView chart. 2. Configure the general settings based on your trading preferences. 3. Set session trading hours if you only want to trade specific times. 4. Select your contract specifications or customize for your instrument. 5. Configure risk parameters: - Choose your preferred risk management approach - Set appropriate stop-loss and take-profit levels - Enable advanced features like break-even, trailing stops, or partial profit taking as needed 6. Define entry conditions: - Select the price source (such as close, open, high, or an indicator) - Set the specific value that should trigger entries ### Entry Condition Examples - **Example 1**: To enter when price closes exactly at a whole number: - Long Source: close - Long Value: 4200 (for instance, to enter when price closes exactly at 4200) - **Example 2**: To enter when an indicator reaches a specific value: - Long Source: ta.rsi(close, 14) - Long Value: 30 (triggers when RSI equals exactly 30) ### Best Practices 1. **Always backtest thoroughly** before using in live trading. 2. **Start with conservative risk settings**: - Small position sizes - Reasonable stop-loss distances - Limited trades per day 3. **Monitor and adjust**: - Use the performance table to track results - Adjust parameters based on how the strategy performs 4. **Consider market volatility**: - Use ATR-based stops during volatile periods - Use fixed points during stable markets ## Continuous Position Signals Implementation The LongShortExit strategy can be enhanced with continuous position signals to provide visual feedback about the current position state. These signals can help you track when the strategy is in a long or short position. ### Adding Continuous Position Signals Add the following code to implement continuous position signals (0 to 1): ```pine // Continuous position signals (0 to 1) var float longSignal = 0.0 var float shortSignal = 0.0 // Update position signals based on your indicator's conditions longSignal := longCondition ? 1.0 : 0.0 shortSignal := shortCondition ? 1.0 : 0.0 // Plot continuous signals plot(longSignal, title="Long Signal", color=#00FF00, linewidth=2, transp=0, style=plot.style_line) plot(shortSignal, title="Short Signal", color=#FF0000, linewidth=2, transp=0, style=plot.style_line) ``` ### Benefits of Continuous Position Signals - Provides clear visual feedback of current position state (long/short) - Signal values stay consistent (0 or 1) until condition changes - Can be used for additional calculations or alert conditions - Makes it easier to track when entry conditions are triggered ### Using with Custom Indicators You can adapt the continuous position signals to work with any custom indicator by replacing the condition with your indicator's logic: ```pine // Example with moving average crossover longSignal := fastMA > slowMA ? 1.0 : 0.0 shortSignal := fastMA < slowMA ? 1.0 : 0.0 ``` ## Webhook Integration The LongShortExit strategy is fully compatible with TradingView's webhook alerts, allowing you to connect your strategy to external trading platforms, brokers, or custom applications for automated trading execution. ### Setting Up Webhooks 1. Create an alert on your chart with the LongShortExit strategy 2. Enable the "Webhook URL" option in the alert dialog 3. Enter your webhook endpoint URL (from your broker or custom trading system) 4. Customize the alert message with relevant information using TradingView variables ### Webhook Message Format Example ```json { "strategy": "LongShortExit", "action": "{{strategy.order.action}}", "price": "{{strategy.order.price}}", "quantity": "{{strategy.position_size}}", "time": "{{time}}", "ticker": "{{ticker}}", "position_size": "{{strategy.position_size}}", "position_value": "{{strategy.position_value}}", "order_id": "{{strategy.order.id}}", "order_comment": "{{strategy.order.comment}}" } ``` ### TradingView Alert Condition Examples For effective webhook automation, set up these alert conditions: #### Entry Alert ``` {{strategy.position_size}} != {{strategy.position_size}} ``` #### Exit Alert ``` {{strategy.position_size}} < {{strategy.position_size}} or {{strategy.position_size}} > {{strategy.position_size}} ``` #### Partial Take Profit Alert ``` strategy.order.comment contains "Partial TP" ``` ### Benefits of Webhook Integration - **Automated Trading**: Execute trades automatically through supported brokers - **Cross-Platform**: Connect to custom trading bots and applications - **Real-Time Notifications**: Receive trade signals on external platforms - **Data Collection**: Log trade data for further analysis - **Custom Order Management**: Implement advanced order types not available in TradingView ### Compatible External Applications - Trading bots and algorithmic trading software - Custom order execution systems - Discord, Telegram, or Slack notification systems - Trade journaling applications - Risk management platforms ### Implementation Recommendations - Test webhook delivery using a free service like webhook.site before connecting to your actual trading system - Include authentication tokens or API keys in your webhook URL or payload when required by your external service - Consider implementing confirmation mechanisms to verify trade execution - Log all webhook activities for troubleshooting and performance tracking ## Strategy Customization Tips ### For Scalping - Set smaller profit targets (1-3 points) - Use tighter stop-losses - Enable break-even feature after small profit - Set higher max trades per day ### For Day Trading - Use moderate profit targets - Implement partial profit taking - Enable trailing stops - Set reasonable session trading hours ### For Swing Trading - Use longer-term charts - Set wider stops (ATR-based often works well) - Use higher profit targets - Disable daily streak reset ## Common Troubleshooting ### Low Win Rate - Consider widening stop-losses - Verify that entry conditions aren't triggering too frequently - Check if the equals condition is too restrictive; consider small tolerances ### Missing Obvious Trades - The equals condition is extremely precise. Price must exactly match the specified value. - Consider using floating-point precision for more reliable triggers ### Frequent Stop-Outs - Try ATR-based stops instead of fixed points - Increase the stop-loss distance - Enable break-even feature to protect profits ## Important Notes - The exact equals condition is strict and may result in fewer trade signals compared to other conditions. - For instruments with decimal prices, exact equality might be rare. Consider the precision of your value. - Break-even and trailing stop calculations are based on points, not percentage. - Partial take-profit levels are defined in points distance from entry. - The continuous position signals (0 to 1) provide valuable visual feedback but don't affect the strategy's trading logic directly. - When implementing continuous signals, ensure they're aligned with the actual entry conditions used by the strategy. --- *This strategy is for educational and informational purposes only. Always test thoroughly before using with real funds.*

Strategi Pine Script®

oleh Selfsimilarity

RMSE Bollinger Bands + Loop | Lyro RS RMSE Bollinger Bands + Loops Overview The RMSE Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with statistical measures. This indicator employs a multi-model approach, integrating Bollinger-style RMSE bands, momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions. Indicator Modes Bollinger-style RMSE Bands: this mode calculates dynamic volatility bands around the price using the following formula: Upper Band = Dynamic Moving Average + (RMSE × Multiplier) Lower Band = Dynamic Moving Average - (RMSE × Multiplier) These bands adjust to market volatility, helping identify potential breakout or breakdown points. For-Loop Momentum Scoring, momentum is assessed by analyzing recent price behavior through a looping mechanism. A rising momentum score indicates increasing bullish strength, while a declining score suggests growing bearish momentum. Hybrid Combined Signal: this mode assigns a directional score to the other two modes: +1 for bullish (green) –1 for bearish (red) An average of these scores is computed to generate a combined signal, offering a consolidated market trend indication. Practical Application Signal Interpretation: A buy signal is generated when both the RMSE Bands and For-Loop Momentum Scoring align bullishly. Conversely, a sell signal is indicated when both are bearish. Trend Confirmation: The Hybrid Combined Signal provides a consolidated view, assisting traders in confirming the prevailing market trend. Note: Always consider additional technical analysis tools and risk management strategies when making trading decisions. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.

Penunjuk Pine Script®

Intermarket Correlation Oscillator (ICO)The Intermarket Correlation Oscillator (ICO) is a TradingView indicator that helps traders analyze the relationship between two assets, such as stocks, indices, or cryptocurrencies, by measuring their price correlation. It displays this correlation as an oscillator ranging from -1 to +1, making it easy to spot whether the assets move together, oppositely, or independently. A value near +1 indicates strong positive correlation (assets move in the same direction), near -1 shows strong negative correlation (opposite movements), and near 0 suggests no correlation. This tool is ideal for confirming trends, spotting divergences, or identifying hedging opportunities across markets. How It Works? The ICO calculates the Pearson correlation coefficient between the chart’s primary asset (e.g., Apple stock) and a secondary asset you choose (e.g., SPY for the S&P 500) over a specified number of bars (default: 20). The oscillator is plotted in a separate pane below the chart, with key levels at +0.8 (overbought, strong positive correlation) and -0.8 (oversold, strong negative correlation). A midline at 0 helps gauge neutral correlation. When the oscillator crosses these levels or the midline, labels ("OB" for overbought, "OS" for oversold) and alerts notify you of significant shifts. Shaded zones highlight extreme correlations (red for overbought, green for oversold) if enabled. Why Use the ICO? Trend Confirmation: High positive correlation (e.g., SPY and QQQ both rising) confirms market trends. Divergence Detection: Negative correlation (e.g., DXY rising while stocks fall) signals potential reversals. Hedging: Identify negatively correlated assets to balance your portfolio. Market Insights: Understand how assets like stocks, bonds, or crypto interact. Easy Steps to Use the ICO in TradingView Add the Indicator: Open TradingView and load your chart (e.g., AAPL on a daily timeframe). Go to the Pine Editor at the bottom of the TradingView window. Copy and paste the ICO script provided earlier. Click "Add to Chart" to display the oscillator below your price chart. Configure Settings: Click the gear icon next to the indicator’s name in the chart pane to open settings. Secondary Symbol: Choose an asset to compare with your chart’s symbol (e.g., "SPY" for S&P 500, "DXY" for USD Index, or "BTCUSD" for Bitcoin). Default is SPY. Correlation Lookback Period: Set the number of bars for calculation (default: 20). Use 10-14 for short-term trading or 50 for longer-term analysis. Overbought/Oversold Levels: Adjust thresholds (default: +0.8 for overbought, -0.8 for oversold) to suit your strategy. Lower values (e.g., ±0.7) give more signals. Show Midline/Zones: Check boxes to display the zero line and shaded overbought/oversold zones for visual clarity. Interpret the Oscillator: Above +0.8: Strong positive correlation (red zone). Assets move together. Below -0.8: Strong negative correlation (green zone). Assets move oppositely. Near 0: No clear relationship (midline reference). Labels: "OB" or "OS" appears when crossing overbought/oversold levels, signaling potential correlation shifts. Set Up Alerts: Right-click the indicator, select "Add Alert." Choose conditions like "Overbought Alert" (crossing above +0.8), "Oversold Alert" (crossing below -0.8), or zero-line crossings for bullish/bearish correlation shifts. Configure notifications (e.g., email, SMS) to stay informed. Apply to Trading: Use positive correlation to confirm trades (e.g., buy AAPL if SPY is rising and correlation is high). Spot divergences for reversals (e.g., stocks dropping while DXY rises with negative correlation). Combine with other indicators like RSI or moving averages for stronger signals. Tips for New Users Start with related assets (e.g., SPY and QQQ for tech stocks) to see clear correlations. Test on a demo account to understand signals before trading live. Be aware that correlation is a lagging indicator; confirm signals with price action. If the secondary symbol doesn’t load, ensure it’s valid on TradingView (e.g., use correct ticker format). The ICO is a powerful, beginner-friendly tool to explore intermarket relationships, enhancing your trading decisions with clear visual cues and alerts.

Penunjuk Pine Script®

oleh TRADINGINDICATORPRO

Bitcoin Power Law Clock [LuxAlgo]The Bitcoin Power Law Clock is a unique representation of Bitcoin prices proposed by famous Bitcoin analyst and modeler Giovanni Santostasi. It displays a clock-like figure with the Bitcoin price and average lines as spirals, as well as the 12, 3, 6, and 9 hour marks as key points in the cycle. 🔶 USAGE Giovanni Santostasi, Ph.D., is the creator and discoverer of the Bitcoin Power Law Theory. He is passionate about Bitcoin and has 12 years of experience analyzing it and creating price models. As we can see in the above chart, the tool is super intuitive. It displays a clock-like figure with the current Bitcoin price at 10:20 on a 12-hour scale. This tool only works on the 1D INDEX:BTCUSD chart. The ticker and timeframe must be exact to ensure proper functionality. According to the Bitcoin Power Law Theory, the key cycle points are marked at the extremes of the clock: 12, 3, 6, and 9 hours. According to the theory, the current Bitcoin prices are in a frenzied bull market on their way to the top of the cycle. 🔹 Enable/Disable Elements All of the elements on the clock can be disabled. If you disable them all, only an empty space will remain. The different charts above show various combinations. Traders can customize the tool to their needs. 🔹 Auto scale The clock has an auto-scale feature that is enabled by default. Traders can adjust the size of the clock by disabling this feature and setting the size in the settings panel. The image above shows different configurations of this feature. 🔶 SETTINGS 🔹 Price Price: Enable/disable price spiral, select color, and enable/disable curved mode Average: Enable/disable average spiral, select color, and enable/disable curved mode 🔹 Style Auto scale: Enable/disable automatic scaling or set manual fixed scaling for the spirals Lines width: Width of each spiral line Text Size: Select text size for date tags and price scales Prices: Enable/disable price scales on the x-axis Handle: Enable/disable clock handle Halvings: Enable/disable Halvings Hours: Enable/disable hours and key cycle points 🔹 Time & Price Dashboard Show Time & Price: Enable/disable time & price dashboard Location: Dashboard location Size: Dashboard size

Penunjuk Pine Script®

HMA Swing Levels [BigBeluga]An advanced swing structure and trend-following tool built on Hull Moving Average logic, designed to detect major reversals and track dynamic support/resistance zones. This indicator analyzes price swings using pivot highs/lows and a smoothed HMA trend baseline. It highlights key reversal levels and keeps them active until breached, giving traders a clear visual framework for price structure and trend alignment. The pivots are calculated in real-time using non-lagging logic, making them highly responsive to market conditions. 🔵 CONCEPTS Combines a fast-reacting Hull Moving Average (HMA) with pivot logic to capture precise directional changes. Detects non-lagging reversal highs and lows when pivot points form and the HMA direction flips. Projects these reversal levels forward as horizontal support/resistance lines until broken by price. Active trend is shown with a step-style trail line that reflects HMA bias over time. 🔵 FEATURES Swing Level Detection: Identifies high/low reversals when trend direction changes and plots horizontal zones. Non-lagging logic of swing points detection: if h == high and high < h and change > 0 // Detected Swing High if l == low and low > l and change < 0 // Detected Swing Low Persistent Support & Resistance Lines: Each detected swing high or low is extended forward until price invalidates the level. Dotted style is applied once breached. Color-Coded Trend Trail: Displays a stepped trend trail using HMA slope: lime = uptrend, blue = downtrend. Automatic Labeling: Each reversal level is labeled with its price for clear reference. Age-Based Line Thickness: Every level increases in thickness every 250 bars. The longer the level lasts, the stronger it is. 🔵 HOW TO USE Use green (support) and blue (resistance) levels to frame key reaction zones. Trade with the trend defined by the trail color: lime for bullish bias, blue for bearish. Explore where buy or sell orders are stacked Look for breaks of swing lines to anticipate trend shifts or breakout setups. Adjust the "Trend Change" input to tune the sensitivity of swing detection. Adjust the "SwingLevels" input to define how far back to search for valid pivots. 🔵 CONCLUSION HMA Swing Levels offers a hybrid approach to structural and trend-based trading. With automated non-lagging swing detection, persistent support/resistance tracking, and intuitive HMA-based trend coloring, it provides a powerful visual system for discretionary and systematic traders alike.

Penunjuk Pine Script®

Timeshifter Triple Timeframe Strategy w/ Sessions Overview The "Enhanced Timeshifter Triple Timeframe Strategy with Session Filtering" is a sophisticated trading strategy designed for the TradingView platform. It integrates multiple technical indicators across three different timeframes and allows traders to customize their trading Sessions. This strategy is ideal for traders who wish to leverage multi-timeframe analysis and session-based trading to enhance their trading decisions. Features Multi-Timeframe Analysis and direction: Higher Timeframe: Set to a daily timeframe by default, providing a broader view of market trends. Trading Timeframe: Automatically set to the current chart timeframe, ensuring alignment with the trader's primary analysis period. Lower Timeframe: Set to a 15-minute timeframe by default, offering a granular view for precise entry and exit points. Indicator Selection: RMI (Relative Momentum Index): Combines RSI and MFI to gauge market momentum. TWAP (Time Weighted Average Price): Provides an average price over a specified period, useful for identifying trends. TEMA (Triple Exponential Moving Average): Reduces lag and smooths price data for trend identification. DEMA (Double Exponential Moving Average): Similar to TEMA, it reduces lag and provides a smoother trend line. MA (Moving Average): A simple moving average for basic trend analysis. MFI (Money Flow Index): Measures the flow of money into and out of a security, useful for identifying overbought or oversold conditions. VWMA (Volume Weighted Moving Average): Incorporates volume data into the moving average calculation. PSAR (Parabolic SAR): Identifies potential reversals in price movement. Session Filtering: London Session: Trade during the London market hours (0800-1700 GMT+1). New York Session: Trade during the New York market hours (0800-1700 GMT-5). Tokyo Session: Trade during the Tokyo market hours (0900-1800 GMT+9). Users can select one or multiple sessions to align trading with specific market hours. Trade Direction: Long: Only long trades are permitted. Short: Only short trades are permitted. Both: Both long and short trades are permitted, providing flexibility based on market conditions. ADX Confirmation: ADX (Average Directional Index): An optional filter to confirm the strength of a trend before entering a trade. How to Use the Script Setup: Add the script to your TradingView chart. Customize the input parameters according to your trading preferences and strategy requirements. Indicator Selection: Choose the primary indicator you wish to use for generating trading signals from the dropdown menu. Enable or disable the ADX confirmation based on your preference for trend strength analysis. Session Filtering: Select the trading sessions you wish to trade in. You can choose one or multiple Sessions based on your trading strategy and market focus. Trade Direction: Set your preferred trade direction (Long, Short, or Both) to align with your market outlook and risk tolerance. You can use this feature to gauge the market and understand the possible directions. Tips for Profitable and Safe Trading: Recommended Timeframes Combination: LT: 1m , CT: 5m, HT: 1H LT: 1-5m , CT: 15m, HT: 4H LT: 5-15m , CT: 4H, HT: 1W Backtesting: Always backtest the strategy on historical data to understand its performance under various market conditions. Adjust the parameters based on backtesting results to optimize the strategy for your specific trading style. Risk Management: Use appropriate risk management techniques, such as setting stop-loss and take-profit levels, to protect your capital. Avoid over-leveraging and ensure that you are trading within your risk tolerance. Market Analysis: Combine the script with other forms of market analysis, such as fundamental analysis or market sentiment, to make well-rounded trading decisions. Stay informed about major economic events and news that could impact market volatility and trading sessions. Continuous Monitoring: Regularly monitor the strategy's performance and make adjustments as necessary. Keep an eye on the results and settings for real-time statistics and ensure that the strategy aligns with current market conditions. Education and Practice: Continuously educate yourself on trading strategies and market dynamics. Practice using the strategy in a demo account before applying it to live trading to gain confidence and understanding.

Strategi Pine Script®

Volume Weighted Regression Channel This indicator constructs a volume-weighted linear regression channel over a custom time range. It’s conceptually similar to a Volume Profile, but instead of projecting horizontal value zones, it builds a tilted trend channel that reflects both price direction and volume concentration. 🧠 Core Features: Volume-weighted points: Each candle contributes to the regression line proportionally to its volume — heavier candles shift the channel toward high-activity price zones. Linear regression line: Shows the trend direction within the selected time interval. ±σ boundaries: Outer bands represent the standard deviation of price (also volume-weighted), highlighting statistical dispersion. Fully customizable: Adjustable line styles, widths, and channel width (sigma multiplier). Time window control: Select any start and end time to define the regression interval. 📊 Why use this instead of Volume Profile? While Volume Profile shows horizontal distributions of traded volume, this indicator is ideal when: You want to understand how volume clusters affect trend direction, not just price levels. You're analyzing time-dependent flow rather than static price zones. You're looking for a dynamic volume-adjusted channel that moves with the market's structure. It’s especially useful in identifying volume-supported trends, hidden pullback zones, and statistical extremes. ⚙️ Notes: Works on any timeframe and instrument. Does not repaint. Does not require volume profile data feeds — uses standard volume and hl2.

Penunjuk Pine Script®

oleh Evgenyc111

Previous Daily OHLC Previous Daily OHLC Indicator Overview: This professional TradingView indicator displays the previous day's key price levels (Open, High, Low, Close, and 50% midpoint) as horizontal lines on your chart. These levels are essential for traders who use previous day data as support and resistance zones in their technical analysis. What It Does Displays Previous Day Levels: Automatically shows horizontal lines for yesterday's OHLC data Real-Time Updates: Lines update dynamically each new trading day Fully Customizable: Complete control over which levels to display and how they appear Smart Line Management: Choose between showing lines for recent bars or across the entire chart Professional Labels: Clear labels with optional price values for each level Color Coded System: Distinct colors for each level type for instant recognition Key Features Five Important Price Levels Previous Day Open: Yesterday's opening price - often acts as psychological level Previous Day High: Yesterday's highest price - key resistance level for breakout trading Previous Day Low: Yesterday's lowest price - important support level for breakdowns Previous Day Close: Yesterday's closing price - significant reference point 50% Midpoint: Calculated midpoint between previous day's high and low - bias indicator

Penunjuk Pine Script®

oleh kobiko3030

Inside Bar Detector - 15min 🔍 What is an Inside Bar? An **Inside Bar** is a candle that forms **entirely within the high and low of the previous candle**. It represents **consolidation**, **indecision**, or **potential reversal**, and is a key signal in The Strat trading method. 🔧 What the Script Does: 1. **Timeframe Restriction**: * The script activates **only on the 15-minute timeframe**, avoiding clutter on other timeframes. 2. **Inside Bar Logic**: * It checks whether the **current bar’s high is lower than the previous bar’s high**, **AND** the **current bar’s low is higher than the previous bar’s low**. * If both conditions are true, it confirms an Inside Bar. 3. **Visual Display**: * When an Inside Bar is detected, the script **plots a yellow label ("1") above the bar**. * The label represents the Strat 1-bar and helps you easily spot potential setups. 🎯 Use Case: * Ideal for **Strat traders**, **price action analysts**, or **any trader** looking for breakout or reversal opportunities. * Common setups include **1-2**, **1-3**, or **double inside bar** breakouts.

Penunjuk Pine Script®

oleh TpcCapital

Modified Fractal Open/Close Modified Fractal (Open/Close Based) - Indicator The Modified Fractal (Open/Close Based) indicator offers a new way to detect fractal patterns on your chart by analyzing the open and close prices instead of the traditional high and low values. 🧮 How it works: The indicator evaluates a group of 5 consecutive candles. The central candle (2 bars ago) is analyzed. For a Bullish Fractal: The open or close of the central candle must be lower than the open and close of the other 4 surrounding candles. For a Bearish Fractal: The open or close of the central candle must be higher than the open and close of the other 4 surrounding candles. Once a valid pattern is detected, a visual symbol (triangle) is plotted directly on the chart and an alert can be triggered. ✅ Key Features: Non-repainting signals (evaluated after candle close) Fully mechanical detection logic Easy-to-use visual signals Alert conditions ready to be integrated into TradingView’s alert system Suitable for multiple timeframes (can be used from M1 to Daily and beyond) 🎯 Use case: This modified fractal approach can help traders: Spot potential swing points Identify possible reversals Confirm price exhaustion zones Support breakout or mean reversion strategies ⚠ Note: This indicator does not provide trade signals by itself. It is recommended to be combined with additional tools, price action analysis, or risk management rules.

Penunjuk Pine Script®

oleh Giancarlo_Adorno

Mark specific candle (e.g. bar 20)This Pine Script indicator, "Mark specific candle (e.g. bar 20)" (short title "Mark candle"), is a simple yet powerful tool to visually highlight a particular candle on your chart. What it does: It marks a specific candle (e.g., the 20th, 10th, or any number you choose) counting backwards from the most recent candle on your chart. The marked candle will be colored in a subtle light grey and also feature a tiny, matching grey arrow pointing down from above it. Why it's useful: This indicator helps you quickly identify and track a consistent reference point in recent price action. It's great for strategies that depend on fixed look-back periods or for simply keeping an eye on a specific historical candle's position as new data comes in. Key Features: Adjustable Candle Number: Easily change which candle is marked (e.g., 20th, 10th, 5th) directly from the indicator settings using the "Candle Number to Mark (from end)" input. Clear Visuals: Both the candle color and a small arrow provide a subtle, yet effective, visual cue. How to use: Simply add this script to your TradingView chart. Then, open the indicator's settings to set your desired candle number.

Penunjuk Pine Script®

Telah dikemas kini

Heatmap Trailing Stop with Breakouts (Zeiierman)█ Overview Heatmap Trailing Stop with Breakouts (Zeiierman) is a trend and breakout detection tool that combines dynamic trailing stop logic, Fibonacci-based levels, and a real-time market heatmap into a single, intuitive system. This indicator is designed to help traders visualize pressure zones, manage stop placement, and identify breakout opportunities supported by contextual price–derived heat. Whether you're trailing trends, detecting reversals, or entering on explosive breakouts — this tool keeps you anchored in structure and sentiment. It projects adaptive trailing stop levels and calculates Fibonacci extensions from swing-based extremes. These levels are then colored by a market heatmap engine that tracks price interaction intensity — showing where the market is "hot" and likely to respond. On top of that, it includes breakout signals powered by HTF momentum conditions, trend direction, and heatmap validation — giving you signals only when the context is strong. █ How It Works ⚪ Trailing Stop Engine At its core, the script uses an ATR-based trailing stop with trend detection: ATR Length – Defines volatility smoothing using EMA MA of true range. Multiplier – Expands/retracts the trailing offset depending on market aggression. Real-Time Extremum Tracking – Uses local highs/lows to define Fibonacci anchors. ⚪ Fibonacci Projection + Heatmap With each trend shift, Fibonacci levels are projected from the new swing to the current trailing stop. These include: Fib 61.8, 78.6, 88.6, and 100% (trailing stop) lines Heatmap Coloring – Each level'slevel's color is determined by how frequently price has interacted with that level in the recent range (defined by ATR). Strength Score (1–10) – The number of touches per level is normalized and averaged to create a heatmap ""score"" displayed as a colored bar on the chart. ⚪ Breakout Signal System This engine detects high-confidence breakout signals using a higher timeframe candle structure: Bullish Breakout – Strong bullish candle + momentum + trend confirmation + heatmap score threshold. Bearish Breakout – Strong bearish candle + momentum + trend confirmation + heatmap score threshold. Cooldown Logic – Prevents signals from clustering too frequently during volatile periods. █ How to Use ⚪ Trend Following & Trail Stops Use the Trailing Stop line to manage positions or time entries in line with trend direction. Trailing stop flips are highlighted with dot markers. ⚪ Fibonacci Heat Zones The projected Fibonacci levels serve as price magnets or support/resistance zones. Watch how price reacts at Fib 61.8/78.6/88.6 levels — especially when they're glowing with high heatmap scores (more glow = more historical touches = stronger significance). ⚪ Breakout Signals Enable breakout signals when you want to trade breakouts only under strong context. Use the "Heatmap Strength Threshold" to require a minimum score (1–10). █ Settings Stop Distance ATR Length – ATR period for volatility smoothing Stop Distance Multiplier – Adjusts the trailing stop'sstop's distance from price Heatmap Range ATR Length – Defines how far back the heatmap scans for touches Number of Heat Levels – Total levels used in the heatmap (more = finer resolution) Minimum Touches per Level – Defines what counts as a ""hot"" level Heatmap Strength Threshold – Minimum average heat score (1–10) required for breakouts Timeframe – HTF source used to evaluate breakout momentum structure ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.

Penunjuk Pine Script®

Bias Bar Coloring + Multi-Timeframe Bias Table + Alerts Multi-Timeframe Bias Bar Coloring with Alerts & Table This indicator provides a powerful, visual way to assess price action bias across multiple timeframes—Monthly, Weekly, and Daily—while also coloring each bar based on the current chart’s bias. Features: Persistent Bar Coloring: Bars are colored green for bullish bias (close above previous high), red for bearish bias (close below previous low), and persist the last color if neither condition is met. This makes trend shifts and momentum easy to spot at a glance. Bias Change Alerts: Get notified instantly when the bias flips from bullish to bearish or vice versa, helping you stay on top of potential trade setups or risk management decisions. Multi-Timeframe Bias Table: A table anchored in the top right corner displays the current bias for the Monthly, Weekly, and Daily charts, color-coded for quick reference. This gives you a clear view of higher timeframe context while trading any chart. Consistent Logic: The same objective bias logic is used for all timeframes, ensuring clarity and reliability in your analysis. How to Use: Use the bar colors for instant visual feedback on trend and momentum shifts. Watch the top-right table to align your trades with higher timeframe bias, improving your edge and filtering out lower-probability setups. Set alerts to be notified of bias changes, so you never miss a potential opportunity. This tool is ideal for traders who value multi-timeframe analysis, want clear visual cues for trend direction, and appreciate having actionable alerts and context at their fingertips.

Penunjuk Pine Script®

Volume Weighted Average Price Dynamic Slope [sgbpulse]VWAP Dynamic Slope: A Comprehensive Indicator for Trend Identification and Smart Trading Introducing VWAP Dynamic Slope, an innovative TradingView indicator that harnesses the power of Volume Weighted Average Price (VWAP) and enhances it with immediate visual feedback. The indicator colors the VWAP line based on its slope, allowing you to quickly and easily identify the direction and strength of the current trend for the asset, providing advanced tools for in-depth analysis. What is VWAP and Why is it so Important? VWAP (Volume Weighted Average Price) is an indicator that represents the average price at which an asset has traded, weighted by the volume traded at each price level. Unlike a simple moving average, VWAP gives greater weight to trades executed with high volume, making it a reliable measure of the asset's "true" or "fair" price within a given period. Many institutional traders use VWAP as a central reference point for evaluating the effectiveness of entries and exits. An asset trading above its VWAP is considered to have bullish momentum, and below it – bearish momentum. How it Works: Dynamic VWAP Slope Analysis VWAP Dynamic Slope analyzes the inclination of the VWAP line and displays it using an intuitive color scheme: Positive Slope (Uptrend): When the VWAP points upwards, signaling positive momentum, the default color will be green. Negative Slope (Downtrend): When the VWAP points downwards, signaling negative momentum, the default color will be orange. Trend Change (CHG): When a change in the VWAP's trend direction occurs, a "CHG" label will be displayed. The label's color will be green if the change is to an uptrend, and orange if the change is to a downtrend. Identifying Steep Slopes for Increased Momentum: The indicator's uniqueness lies in its ability to identify "steep" slopes – rapid and particularly strong changes in the VWAP's direction. This indicates exceptionally strong momentum: Steep Positive Slope: The VWAP color will change to dark green, indicating significant buying pressure. Steep Negative Slope: The VWAP color will change to dark red, indicating significant selling pressure. Dynamic Momentum Strength Label: In situations of steep slope (positive or negative), a dynamic label will be displayed with the change value of the VWAP at that point. This label allows you to monitor momentum strength, intensification, or weakening in real-time. Advanced Analytical Tools for Complete Control VWAP Dynamic Slope provides you with unprecedented flexibility through a variety of customizable tools: Multiple VWAP Anchors and Visual Marking: Common Time Anchors: Choose whether the VWAP resets at the beginning of each Session (daily), Week, Month, Quarter, Year, Decade, or Century. Advanced Intraday Anchors: Within the Session, you can choose to calculate VWAP specifically for Pre-Market, Regular Hours, and Post-Market hours. This option is particularly crucial for intraday traders. Important Event Anchors: The indicator allows for VWAP resets at significant milestones such as Earnings, Dividends, and Splits, for analyzing the market's immediate reaction. Visual Anchor Marking: To enhance clarity and orientation, a Label ⚓ can be displayed at each selected anchor point, helping to immediately identify the start point of the VWAP calculation in the chosen context. Customizable Bands (Up to Three on Each Side): Add up to three Bands above and below the VWAP to identify areas of deviation and excursion from the average price. You have two calculation options: Standard Deviation: Based on volatility and statistical distance from the VWAP. Percentage: Defines fixed percentage-based bands from the VWAP. Key Pre-Market Levels (Pre-Market High/Low): Display the Pre-Market High and Low levels as separate lines on the chart. These lines often serve as important psychological support and resistance zones, allowing you to see how the VWAP behaves near them. Full Customization and Precise Control: VWAP Source Selection: Determine which price data type will be used for the VWAP calculation. The default is HLC3 (average of High, Low, and Close), but any other relevant data source available in TradingView can be selected. Offset: Set an offset for the VWAP line, allowing you to shift it left or right on the time axis by a chosen number of bars. Customizable Colors: Choose your preferred colors for each slope state, Pre-Market High/Low lines, and Bands. Setting the "Steepness" Threshold (Per-mille Price Change Per Minute ‱/min with Auto-Adjustment): Determine the sensitivity for identifying a steep slope by setting the required change threshold in VWAP in terms of per-mille price change per minute (‱/min). The indicator performs smart adjustment for any timeframe you select on the chart (e.g., 30 seconds, 1 minute, 5 minutes, 10 minutes, etc.), ensuring that the "steepness" setting maintains consistency and relevance. Examples for Setting the Steepness Threshold: Suppose you set the steepness threshold to 0.3‱/min (per-mille price change per minute). On a 30-second chart: The indicator will check if the VWAP changed by 0.15 ‱/min (half of the per-minute threshold) within a single bar. If so, the slope will be considered steep. Explanation: Since 30 seconds is half a minute, the indicator looks for a change that is half of the threshold set for a full minute. On a 1-minute chart: The indicator will check if the VWAP changed by 0.3 ‱/min (the full per-minute threshold) within a single bar. If so, the slope will be considered steep. Explanation: Here, the bar represents a full minute, so we check the full threshold. On a 5-minute chart: The indicator will check if the VWAP changed by 1.5 ‱/min (5 times the per-minute threshold) within a single bar. If so, the slope will be considered steep. Explanation: A 5-minute bar contains 5 minutes, so the cumulative change in VWAP needs to be 5 times greater to be considered "steep" on the same scale. In summary, this setting allows you to precisely and uniformly control the sensitivity of steep slope detection across all timeframes, providing immense flexibility in analyzing the asset's momentum. Advantages of Using Per-mille Price Change Per Minute (‱/min) Using per-mille price change per minute (‱/min) offers several key advantages for your indicator: Normalized and Objective Measurement: It provides a uniform scale for the VWAP's rate of change, regardless of the asset's price or nominal value. A 0.1 per-mille change per minute always carries the same relative significance. Comparison Across Different Asset Prices: Using per-mille allows for direct comparison of VWAP movement strength between assets trading at very different prices (e.g., a $100 asset versus a $1 asset), enabling an understanding of true momentum without bias from the nominal price. Smart Timeframe Agnostic Adjustment: This is a critical capability. The indicator automatically adjusts the per-mille per minute threshold you set to any chart timeframe (30 seconds, 1 minute, 5 minutes, etc.), maintaining consistency in "steepness" detection without manual recalibration. Precise Momentum Identification: This measurement precisely identifies when the VWAP's rate of change becomes significant, and when momentum strengthens or weakens, contributing to more informed trading decisions. In short, per-mille change per minute (‱/min) provides accuracy, consistency, and flexibility in identifying VWAP momentum changes, with smart adaptation across all timeframes. Who is this Indicator For? VWAP Dynamic Slope is a powerful tool for: Intraday Traders: For quick identification of intraday trend directions and momentum across any timeframe, with specific consideration for Pre-Market, Regular Hours, or Post-Market VWAP, and incorporating key pre-market levels. Swing Traders and Long-Term Investors: For analyzing longer-term trends based on periodic and event-driven VWAP anchors. Beginner Traders: As an excellent visual aid for understanding the relationship between price, volume, and trend direction, and how different anchor points, pre-market levels, and data sources influence price behavior. Experienced Traders: For integration with existing strategies, gaining additional confirmation for trend strength identification, and highly precise and flexible parameter calibration. VWAP Dynamic Slope provides a rich, multi-dimensional layer of information about the VWAP, helping you make more informed trading decisions in real-time, within the context of your chosen asset.

Penunjuk Pine Script®

Timeframe Loop The Timeframe Loop publication aims to visualize intrabar price progression in a new, different way. 🔶 CONCEPTS and USAGE I got inspiration from the Pressure/Volume loop, which is used in Mechanical Ventilation with Critical Care patients to visualize pressure/volume evolution during inhalation/exhalation. The main idea is that intrabar prices are visualized by a loop, going to the right during the first half and returning to the left towards its closing point. Here, the main chart timeframe (CTF) is 4 hours, and we see the movements of eight 30-minute lower timeframe (LTF) periods, highlighted by four yellow dots/lines (first 2 hours -> "Right") and four blue dots/lines (last 2 hours <- "Left"): 🔹 BTF If "Show Lowest TF" is enabled, the LTF is split into another lower TF (BTF - "Base TF"); in this case, the 30-minute LTF is split into 10 parts of 3 minutes (BTF): Enabling "Loop Lowest TF" will enable the BTF to react similarly to the largest loop; from halfway, it will return to its startpoint: Here is a more detailed example: 🔹 Mini-Candles The included option "Mini-Candles" will bring even more detail, showing the LTF as Japanese candlesticks with user-defined colors and adjustable body width; in this example, the mini-candles associated with the first half (yellow lines/dots) are green/red, while blue/fuchsia in the second half (blue lines/dots): CTF 10 minutes, LTF 1 minute, BTF 5 seconds One can see the detailed intrabar price progression in one glance. CTF 5 minutes, LTF 1 minute, BTF 5 seconds If the LTF/BTF ratio, divided by two, results in a non-integer number, the right side will be a vertical line instead of just a turning point. In that case, the smaller, most right blue loop will be situated at the right of that line. 10 minutes / 1 minute = 10 -> 10 / 2 = 5 parts 5 minutes / 1 minute = 5 -> 5 / 2 = 2.5 parts 🔶 SETTINGS 🔹 Timeframes Lower Timeframe 1 Lower Timeframe 2 No need to worry about the order of both timeframes; BTF will be the lowest TF of the 2, LTF the highest; both have to be lower than the main chart TF (CTF); otherwise, it will result in the error: "`Lower Timeframes` should be lower than current chart timeframe". The ratio LTF / BTF should be equal or higher than 2; otherwise, this error will show: "`Lower Timeframe` should minimally be twice the `Base (smallest) Timeframe`" Lastly, the ratio CTF / BTF should be lower than 500; otherwise, this error will pop up: "`Current Chart timeframe` / `Lower Timeframe` should be less than 500." I have tried to capture runtime errors as best I could. If one should be triggered (red exclamation mark next to the title), it is best to increase the lowest TF. 🔹 Options Show Lowest TF: Show BTF progression. Loop Lowest TF: Enabling will let the BTF line return halfway. Show Mini-Candles Show Steps "Show Steps" can be useful to see how the script works, where the location of the current price is compared against the position of the left (L) and right (R) labels: 🔹 Style

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MM + MACD [RSI Filter]MM + MACD Trend Follower with RSI Filter Pedro Canto - Portfolio Manager | CGA/CGE OVERVIEW The MM + MACD Trend Follower with RSI Filter is a multi-layered trend-following indicator designed to help traders identify high-probability trend continuation setups while avoiding low-quality entries caused by overbought or oversold market conditions. This tool combines the power of Moving Averages (MA), the MACD Histogram, and a visual RSI-based filter to validate both trend direction and timing for entries. Its goal is simple: filter out noise and highlight only the most technically relevant buy and sell signals based on objective momentum and trend criteria. USE CASES - Identifying trend continuation setups - Filtering false signals during consolidation phases - Avoiding trades in overbought or oversold zones - Enhancing entry timing for both swing and intraday strategies - Providing visual confirmation of trend strength and momentum alignment KEY FEATURES 1. Dual Moving Average Setup The indicator allows full customization of two moving averages (MA1 and MA2), supporting both EMA and SMA types. The slope of the longer MA (MA2) acts as an essential trend filter, ensuring signals are only generated when the market shows clear directional bias. 2. MACD Histogram Trend Confirmation A classic MACD Histogram calculation is used to validate the momentum of the prevailing trend. - Bullish Trend: Histogram > 0 - Bearish Trend: Histogram < 0 This step filters out counter-trend signals and ensures trades are aligned with momentum. 3. Intrabar Price Trigger Unlike standard crossover systems, this indicator waits for intrabar price action to trigger entries: - Buy Signal: Price crosses below one of the MAs during an uptrend (dip-buy logic) - Sell Signal: Price crosses above one of the MAs during a downtrend (rally-sell logic) This intrabar trigger improves entry timing and helps capture retracement-based opportunities. 4. RSI Visual Filter A short-term RSI is plotted and color-coded to visually highlight overbought and oversold conditions, acting as a discretionary filter for users to avoid low-probability trades during exhaustion points. 5. Dynamic Coloring System Bar Colors: - Blue: Bullish trend - Red: Bearish trend - Orange: RSI Overbought/Oversold zones MA Colors: - Blue for bullish conditions - Red for bearish conditions - Gray for neutral/no-trend phases 6. Signal Markers and Alerts Clear visual buy and sell markers are plotted directly on the chart. Additionally, the indicator includes real-time alerts for both Buy and Sell signals, helping traders stay informed even when away from the screen. INPUTS AND CUSTOMIZATION OPTIONS - Moving Average Types: EMA or SMA for both MA1 and MA2. - MACD Settings: Customizable fast, slow, and signal periods. - RSI Settings: Source, length, and overbought/oversold levels fully adjustable. - Color Customization: Adjust RSI zone colors to suit your chart theme. --- DISCLAIMER This indicator is a technical analysis tool designed for educational and informational purposes only. It should not be used as a standalone trading system. Always combine it with sound risk management, price action analysis, and, where applicable, fundamental context. Past performance does not guarantee future results.

Penunjuk Pine Script®

oleh Pedro_Canto

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Pilihan data pasaran disediakan oleh perkhidmatan Data ICE. Pilihan data rujukan disediakan oleh FactSet. Copyright © 2025 FactSet Research Systems Inc.© 2025 TradingView, Inc.

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