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Langlands-Operadic Möbius Vortex (LOMV)Langlands-Operadic Möbius Vortex (LOMV) Where Pure Mathematics Meets Market Reality A Revolutionary Synthesis of Number Theory, Category Theory, and Market Dynamics 🎓 THEORETICAL FOUNDATION The Langlands-Operadic Möbius Vortex represents a groundbreaking fusion of three profound mathematical frameworks that have never before been combined for market analysis: The Langlands Program: Harmonic Analysis in Markets Developed by Robert Langlands (Fields Medal recipient), the Langlands Program creates bridges between number theory, algebraic geometry, and harmonic analysis. In our indicator: L-Function Implementation: - Utilizes the Möbius function μ(n) for weighted price analysis - Applies Riemann zeta function convergence principles - Calculates quantum harmonic resonance between -2 and +2 - Measures deep mathematical patterns invisible to traditional analysis The L-Function core calculation employs: L_sum = Σ(return_val × μ(n) × n^(-s)) Where s is the critical strip parameter (0.5-2.5), controlling mathematical precision and signal smoothness. Operadic Composition Theory: Multi-Strategy Democracy Category theory and operads provide the mathematical framework for composing multiple trading strategies into a unified signal. This isn't simple averaging - it's mathematical composition using: Strategy Composition Arity (2-5 strategies): - Momentum analysis via RSI transformation - Mean reversion through Bollinger Band mathematics - Order Flow Polarity Index (revolutionary T3-smoothed volume analysis) - Trend detection using Directional Movement - Higher timeframe momentum confirmation Agreement Threshold System: Democratic voting where strategies must reach consensus before signal generation. This prevents false signals during market uncertainty. Möbius Function: Number Theory in Action The Möbius function μ(n) forms the mathematical backbone: - μ(n) = 1 if n is a square-free positive integer with even number of prime factors - μ(n) = -1 if n is a square-free positive integer with odd number of prime factors - μ(n) = 0 if n has a squared prime factor This creates oscillating weights that reveal hidden market periodicities and harmonic structures. 🔧 COMPREHENSIVE INPUT SYSTEM Langlands Program Parameters Modular Level N (5-50, default 30): Primary lookback for quantum harmonic analysis. Optimized by timeframe: - Scalping (1-5min): 15-25 - Day Trading (15min-1H): 25-35 - Swing Trading (4H-1D): 35-50 - Asset-specific: Crypto 15-25, Stocks 30-40, Forex 35-45 L-Function Critical Strip (0.5-2.5, default 1.5): Controls Riemann zeta convergence precision: - Higher values: More stable, smoother signals - Lower values: More reactive, catches quick moves - High frequency: 0.8-1.2, Medium: 1.3-1.7, Low: 1.8-2.3 Frobenius Trace Period (5-50, default 21): Galois representation lookback for price-volume correlation: - Measures harmonic relationships in market flows - Scalping: 8-15, Day Trading: 18-25, Swing: 25-40 HTF Multi-Scale Analysis: Higher timeframe context prevents trading against major trends: - Provides market bias and filters signals - Improves win rates by 15-25% through trend alignment Operadic Composition Parameters Strategy Composition Arity (2-5, default 4): Number of algorithms composed for final signal: - Conservative: 4-5 strategies (higher confidence) - Moderate: 3-4 strategies (balanced approach) - Aggressive: 2-3 strategies (more frequent signals) Category Agreement Threshold (2-5, default 3): Democratic voting minimum for signal generation: - Higher agreement: Fewer but higher quality signals - Lower agreement: More signals, potential false positives Swiss-Cheese Mixing (0.1-0.5, default 0.382): Golden ratio φ⁻¹ based blending of trend factors: - 0.382 is φ⁻¹, optimal for natural market fractals - Higher values: Stronger trend following - Lower values: More contrarian signals OFPI Configuration: - OFPI Length (5-30, default 14): Order Flow calculation period - T3 Smoothing (3-10, default 5): Advanced exponential smoothing - T3 Volume Factor (0.5-1.0, default 0.7): Smoothing aggressiveness control Unified Scoring System Component Weights (sum ≈ 1.0): - L-Function Weight (0.1-0.5, default 0.3): Mathematical harmony emphasis - Galois Rank Weight (0.1-0.5, default 0.2): Market structure complexity - Operadic Weight (0.1-0.5, default 0.3): Multi-strategy consensus - Correspondence Weight (0.1-0.5, default 0.2): Theory-practice alignment Signal Threshold (0.5-10.0, default 5.0): Quality filter producing: - 8.0+: EXCEPTIONAL signals only - 6.0-7.9: STRONG signals - 4.0-5.9: MODERATE signals - 2.0-3.9: WEAK signals 🎨 ADVANCED VISUAL SYSTEM Multi-Dimensional Quantum Aura Bands Five-layer resonance field showing market energy: - Colors: Theme-matched gradients (Quantum purple, Holographic cyan, etc.) - Expansion: Dynamic based on score intensity and volatility - Function: Multi-timeframe support/resistance zones Morphism Flow Portals Category theory visualization showing market topology: - Green/Cyan Portals: Bullish mathematical flow - Red/Orange Portals: Bearish mathematical flow - Size/Intensity: Proportional to signal strength - Recursion Depth (1-8): Nested patterns for flow evolution Fractal Grid System Dynamic support/resistance with projected L-Scores: - Multiple Timeframes: 10, 20, 30, 40, 50-period highs/lows - Smart Spacing: Prevents level overlap using ATR-based minimum distance - Projections: Estimated signal scores when price reaches levels - Usage: Precise entry/exit timing with mathematical confirmation Wick Pressure Analysis Rejection level prediction using candle mathematics: - Upper Wicks: Selling pressure zones (purple/red lines) - Lower Wicks: Buying pressure zones (purple/green lines) - Glow Intensity (1-8): Visual emphasis and line reach - Application: Confluence with fractal grid creates high-probability zones Regime Intensity Heatmap Background coloring showing market energy: - Black/Dark: Low activity, range-bound markets - Purple Glow: Building momentum and trend development - Bright Purple: High activity, strong directional moves - Calculation: Combines trend, momentum, volatility, and score intensity Six Professional Themes - Quantum: Purple/violet for general trading and mathematical focus - Holographic: Cyan/magenta optimized for cryptocurrency markets - Crystalline: Blue/turquoise for conservative, stability-focused trading - Plasma: Gold/magenta for high-energy volatility trading - Cosmic Neon: Bright neon colors for maximum visibility and aggressive trading 📊 INSTITUTIONAL-GRADE DASHBOARD Unified AI Score Section - Total Score (-10 to +10): Primary decision metric - >5: Strong bullish signals - <-5: Strong bearish signals - Quality ratings: EXCEPTIONAL > STRONG > MODERATE > WEAK - Component Analysis: Individual L-Function, Galois, Operadic, and Correspondence contributions Order Flow Analysis Revolutionary OFPI integration: - OFPI Value (-100% to +100%): Real buying vs selling pressure - Visual Gauge: Horizontal bar chart showing flow intensity - Momentum Status: SHIFTING, ACCELERATING, STRONG, MODERATE, or WEAK - Trading Application: Flow shifts often precede major moves Signal Performance Tracking - Win Rate Monitoring: Real-time success percentage with emoji indicators - Signal Count: Total signals generated for frequency analysis - Current Position: LONG, SHORT, or NONE with P&L tracking - Volatility Regime: HIGH, MEDIUM, or LOW classification Market Structure Analysis - Möbius Field Strength: Mathematical field oscillation intensity - CHAOTIC: High complexity, use wider stops - STRONG: Active field, normal position sizing - MODERATE: Balanced conditions - WEAK: Low activity, consider smaller positions - HTF Trend: Higher timeframe bias (BULL/BEAR/NEUTRAL) - Strategy Agreement: Multi-algorithm consensus level Position Management When in trades, displays: - Entry Price: Original signal price - Current P&L: Real-time percentage with risk level assessment - Duration: Bars in trade for timing analysis - Risk Level: HIGH/MEDIUM/LOW based on current exposure 🚀 SIGNAL GENERATION LOGIC Balanced Long/Short Architecture The indicator generates signals through multiple convergent pathways: Long Entry Conditions: - Score threshold breach with algorithmic agreement - Strong bullish order flow (OFPI > 0.15) with positive composite signal - Bullish pattern recognition with mathematical confirmation - HTF trend alignment with momentum shifting - Extreme bullish OFPI (>0.3) with any positive score Short Entry Conditions: - Score threshold breach with bearish agreement - Strong bearish order flow (OFPI < -0.15) with negative composite signal - Bearish pattern recognition with mathematical confirmation - HTF trend alignment with momentum shifting - Extreme bearish OFPI (<-0.3) with any negative score Exit Logic: - Score deterioration below continuation threshold - Signal quality degradation - Opposing order flow acceleration - 10-bar minimum between signals prevents overtrading ⚙️ OPTIMIZATION GUIDELINES Asset-Specific Settings Cryptocurrency Trading: - Modular Level: 15-25 (capture volatility) - L-Function Precision: 0.8-1.3 (reactive to price swings) - OFPI Length: 10-20 (fast correlation shifts) - Cascade Levels: 5-7, Theme: Holographic Stock Index Trading: - Modular Level: 25-35 (balanced trending) - L-Function Precision: 1.5-1.8 (stable patterns) - OFPI Length: 14-20 (standard correlation) - Cascade Levels: 4-5, Theme: Quantum Forex Trading: - Modular Level: 35-45 (smooth trends) - L-Function Precision: 1.6-2.1 (high smoothing) - OFPI Length: 18-25 (disable volume amplification) - Cascade Levels: 3-4, Theme: Crystalline Timeframe Optimization Scalping (1-5 minute charts): - Reduce all lookback parameters by 30-40% - Increase L-Function precision for noise reduction - Enable all visual elements for maximum information - Use Small dashboard to save screen space Day Trading (15 minute - 1 hour): - Use default parameters as starting point - Adjust based on market volatility - Normal dashboard provides optimal information density - Focus on OFPI momentum shifts for entries Swing Trading (4 hour - Daily): - Increase lookback parameters by 30-50% - Higher L-Function precision for stability - Large dashboard for comprehensive analysis - Emphasize HTF trend alignment 🏆 ADVANCED TRADING STRATEGIES The Mathematical Confluence Method 1. Wait for Fractal Grid level approach 2. Confirm with projected L-Score > threshold 3. Verify OFPI alignment with direction 4. Enter on portal signal with quality ≥ STRONG 5. Exit on score deterioration or opposing flow The Regime Trading System 1. Monitor Aether Flow background intensity 2. Trade aggressively during bright purple periods 3. Reduce position size during dark periods 4. Use Möbius Field strength for stop placement 5. Align with HTF trend for maximum probability The OFPI Momentum Strategy 1. Watch for momentum shifting detection 2. Confirm with accelerating flow in direction 3. Enter on immediate portal signal 4. Scale out at Fibonacci levels 5. Exit on flow deceleration or reversal ⚠️ RISK MANAGEMENT INTEGRATION Mathematical Position Sizing - Use Galois Rank for volatility-adjusted sizing - Möbius Field strength determines stop width - Fractal Dimension guides maximum exposure - OFPI momentum affects entry timing Signal Quality Filtering - Trade only STRONG or EXCEPTIONAL quality signals - Increase position size with higher agreement levels - Reduce risk during CHAOTIC Möbius field periods - Respect HTF trend alignment for directional bias 🔬 DEVELOPMENT JOURNEY Creating the LOMV was an extraordinary mathematical undertaking that pushed the boundaries of what's possible in technical analysis. This indicator almost didn't happen. The theoretical complexity nearly proved insurmountable. The Mathematical Challenge Implementing the Langlands Program required deep research into: - Number theory and the Möbius function - Riemann zeta function convergence properties - L-function analytical continuation - Galois representations in finite fields The mathematical literature spans decades of pure mathematics research, requiring translation from abstract theory to practical market application. The Computational Complexity Operadic composition theory demanded: - Category theory implementation in Pine Script - Multi-dimensional array management for strategy composition - Real-time democratic voting algorithms - Performance optimization for complex calculations The Integration Breakthrough Bringing together three disparate mathematical frameworks required: - Novel approaches to signal weighting and combination - Revolutionary Order Flow Polarity Index development - Advanced T3 smoothing implementation - Balanced signal generation preventing directional bias Months of intensive research culminated in breakthrough moments when the mathematics finally aligned with market reality. The result is an indicator that reveals market structure invisible to conventional analysis while maintaining practical trading utility. 🎯 PRACTICAL IMPLEMENTATION Getting Started 1. Apply indicator with default settings 2. Select appropriate theme for your markets 3. Observe dashboard metrics during different market conditions 4. Practice signal identification without trading 5. Gradually adjust parameters based on observations Signal Confirmation Process - Never trade on score alone - verify quality rating - Confirm OFPI alignment with intended direction - Check fractal grid level proximity for timing - Ensure Möbius field strength supports position size - Validate against HTF trend for bias confirmation Performance Monitoring - Track win rate in dashboard for strategy assessment - Monitor component contributions for optimization - Adjust threshold based on desired signal frequency - Document performance across different market regimes 🌟 UNIQUE INNOVATIONS 1. First Integration of Langlands Program mathematics with practical trading 2. Revolutionary OFPI with T3 smoothing and momentum detection 3. Operadic Composition using category theory for signal democracy 4. Dynamic Fractal Grid with projected L-Score calculations 5. Multi-Dimensional Visualization through morphism flow portals 6. Regime-Adaptive Background showing market energy intensity 7. Balanced Signal Generation preventing directional bias 8. Professional Dashboard with institutional-grade metrics 📚 EDUCATIONAL VALUE The LOMV serves as both a practical trading tool and an educational gateway to advanced mathematics. Traders gain exposure to: - Pure mathematics applications in markets - Category theory and operadic composition - Number theory through Möbius function implementation - Harmonic analysis via L-function calculations - Advanced signal processing through T3 smoothing ⚖️ RESPONSIBLE USAGE This indicator represents advanced mathematical research applied to market analysis. While the underlying mathematics are rigorously implemented, markets remain inherently unpredictable. Key Principles: - Use as part of comprehensive trading strategy - Implement proper risk management at all times - Backtest thoroughly before live implementation - Understand that past performance does not guarantee future results - Never risk more than you can afford to lose The mathematics reveal deep market structure, but successful trading requires discipline, patience, and sound risk management beyond any indicator. 🔮 CONCLUSION The Langlands-Operadic Möbius Vortex represents a quantum leap forward in technical analysis, bringing PhD-level pure mathematics to practical trading while maintaining visual elegance and usability. From the harmonic analysis of the Langlands Program to the democratic composition of operadic theory, from the number-theoretic precision of the Möbius function to the revolutionary Order Flow Polarity Index, every component works in mathematical harmony to reveal the hidden order within market chaos. This is more than an indicator - it's a mathematical lens that transforms how you see and understand market structure. Trade with mathematical precision. Trade with the LOMV. *"Mathematics is the language with which God has written the universe." - Galileo Galilei* *In markets, as in nature, profound mathematical beauty underlies apparent chaos. The LOMV reveals this hidden order.* — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
29
Categorical Market Morphisms (CMM)Categorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics Theoretical Foundation: The Mathematical Revolution Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics. Category Theory in Markets Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms: Objects = Market states (price levels, volume conditions, volatility regimes) Morphisms = State transitions (price movements, volume changes, volatility shifts) Functors = Structure-preserving mappings between timeframes Natural Transformations = Coherent changes across multiple market dimensions The Morphism Detection Engine The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions: Morphism Strength = exp(-normalized_change × (3.0 / sensitivity)) Threshold = 0.3 - (sensitivity - 1.0) × 0.15 This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity. Functorial Analysis Framework Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws: Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)| Functorial Integrity = max(0, 1.0 - average_error) When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system. Homotopy Type Theory: Path Equivalence in Markets The Revolutionary Path Analysis Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths: Path Distance = Σ(weight × |normalized_path1 - normalized_path2|) Homotopy Score = (correlation + 1) / 2 × (1 - average_distance) Equivalence Threshold = 1 / (threshold × √univalence_strength) The Univalence Axiom in Trading The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals. Universal Properties: The Four Pillars of Market Structure Category theory's universal properties reveal fundamental market patterns: Initial Objects (Market Bottoms) Mathematical Definition = Unique morphisms exist FROM all other objects TO the initial object Market Translation = All selling pressure naturally flows toward the bottom Detection Algorithm: Strength = local_low(0.3) + oversold(0.2) + volume_surge(0.2) + momentum_reversal(0.2) + morphism_flow(0.1) Signal = strength > 0.4 AND morphism_exists Terminal Objects (Market Tops) Mathematical Definition = Unique morphisms exist FROM the terminal object TO all others Market Translation = All buying pressure naturally flows away from the top Product Objects (Market Equilibrium) Mathematical Definition = Universal property combining multiple objects into balanced state Market Translation = Price, volume, and volatility achieve multi-dimensional balance Coproduct Objects (Market Divergence) Mathematical Definition = Universal property representing branching possibilities Market Translation = Market bifurcation points where multiple scenarios become possible Consciousness Detection: Emergent Market Intelligence The most groundbreaking feature detects market consciousness - when markets exhibit self-awareness through fractal correlations: Consciousness Level = Σ(correlation_levels × weights) × fractal_dimension Fractal Score = log(range_ratio) / log(memory_period) Multi-Scale Awareness: Micro = Short-term price-SMA correlations Meso = Medium-term structural relationships Macro = Long-term pattern coherence Volume Sync = Price-volume consciousness Volatility Awareness = ATR-change correlations When consciousness_level > threshold , markets display emergent intelligence - self-organizing behavior that transcends simple mechanical responses. Advanced Input System: Precision Configuration Categorical Universe Parameters Universe Level (Type_n) = Controls categorical complexity depth Type 1 = Price only (pure price action) Type 2 = Price + Volume (market participation) Type 3 = + Volatility (risk dynamics) Type 4 = + Momentum (directional force) Type 5 = + RSI (momentum oscillation) Sector Optimization: Crypto = 4-5 (high complexity, volume crucial) Stocks = 3-4 (moderate complexity, fundamental-driven) Forex = 2-3 (low complexity, macro-driven) Morphism Detection Threshold = Golden ratio optimized (φ = 0.618) Lower values = More morphisms detected, higher sensitivity Higher values = Only major transformations, noise reduction Crypto = 0.382-0.618 (high volatility accommodation) Stocks = 0.618-1.0 (balanced detection) Forex = 1.0-1.618 (macro-focused) Functoriality Tolerance = φ⁻² = 0.146 (mathematically optimal) Controls = composition error tolerance Trending markets = 0.1-0.2 (strict structure preservation) Ranging markets = 0.2-0.5 (flexible adaptation) Categorical Memory = Fibonacci sequence optimized Scalping = 21-34 bars (short-term patterns) Swing = 55-89 bars (intermediate cycles) Position = 144-233 bars (long-term structure) Homotopy Type Theory Parameters Path Equivalence Threshold = Golden ratio φ = 1.618 Volatile markets = 2.0-2.618 (accommodate noise) Normal conditions = 1.618 (balanced) Stable markets = 0.786-1.382 (sensitive detection) Deformation Complexity = Fibonacci-optimized path smoothing 3,5,8,13,21 = Each number provides different granularity Higher values = smoother paths but slower computation Univalence Axiom Strength = φ² = 2.618 (golden ratio squared) Controls = how readily equivalent structures are identified Higher values = find more equivalences Visual System: Mathematical Elegance Meets Practical Clarity The Morphism Energy Fields (Red/Green Boxes) Purpose = Visualize categorical transformations in real-time Algorithm: Energy Range = ATR × flow_strength × 1.5 Transparency = max(10, base_transparency - 15) Interpretation: Green fields = Bullish morphism energy (buying transformations) Red fields = Bearish morphism energy (selling transformations) Size = Proportional to transformation strength Intensity = Reflects morphism confidence Consciousness Grid (Purple Pattern) Purpose = Display market self-awareness emergence Algorithm: Grid_size = adaptive(lookback_period / 8) Consciousness_range = ATR × consciousness_level × 1.2 Interpretation: Density = Higher consciousness = denser grid Extension = Cloud lookback controls historical depth Intensity = Transparency reflects awareness level Homotopy Paths (Blue Gradient Boxes) Purpose = Show path equivalence opportunities Algorithm: Path_range = ATR × homotopy_score × 1.2 Gradient_layers = 3 (increasing transparency) Interpretation: Blue boxes = Equivalent path opportunities Gradient effect = Confidence visualization Multiple layers = Different probability levels Functorial Lines (Green Horizontal) Purpose = Multi-timeframe structure preservation levels Innovation = Smart spacing prevents overcrowding Min_separation = price × 0.001 (0.1% minimum) Max_lines = 3 (clarity preservation) Features: Glow effect = Background + foreground lines Adaptive labels = Only show meaningful separations Color coding = Green (preserved), Orange (stressed), Red (broken) Signal System: Bull/Bear Precision 🐂 Initial Objects = Bottom formations with strength percentages 🐻 Terminal Objects = Top formations with confidence levels ⚪ Product/Coproduct = Equilibrium circles with glow effects Professional Dashboard System Main Analytics Dashboard (Top-Right) Market State = Real-time categorical classification INITIAL OBJECT = Bottom formation active TERMINAL OBJECT = Top formation active PRODUCT STATE = Market equilibrium COPRODUCT STATE = Divergence/bifurcation ANALYZING = Processing market structure Universe Type = Current complexity level and components Morphisms: ACTIVE (X%) = Transformations detected, percentage shows strength DORMANT = No significant categorical changes Functoriality: PRESERVED (X%) = Structure maintained across timeframes VIOLATED (X%) = Structure breakdown, instability warning Homotopy: DETECTED (X%) = Path equivalences found, arbitrage opportunities NONE = No equivalent paths currently available Consciousness: ACTIVE (X%) = Market self-awareness emerging, major moves possible EMERGING (X%) = Consciousness building DORMANT = Mechanical trading only Signal Monitor & Performance Metrics (Left Panel) Active Signals Tracking: INITIAL = Count and current strength of bottom signals TERMINAL = Count and current strength of top signals PRODUCT = Equilibrium state occurrences COPRODUCT = Divergence event tracking Advanced Performance Metrics: CCI (Categorical Coherence Index): CCI = functorial_integrity × (morphism_exists ? 1.0 : 0.5) STRONG (>0.7) = High structural coherence MODERATE (0.4-0.7) = Adequate coherence WEAK (<0.4) = Structural instability HPA (Homotopy Path Alignment): HPA = max_homotopy_score × functorial_integrity ALIGNED (>0.6) = Strong path equivalences PARTIAL (0.3-0.6) = Some equivalences WEAK (<0.3) = Limited path coherence UPRR (Universal Property Recognition Rate): UPRR = (active_objects / 4) × 100% Percentage of universal properties currently active TEPF (Transcendence Emergence Probability Factor): TEPF = homotopy_score × consciousness_level × φ Probability of consciousness emergence (golden ratio weighted) MSI (Morphological Stability Index): MSI = (universe_depth / 5) × functorial_integrity × consciousness_level Overall system stability assessment Overall Score = Composite rating (EXCELLENT/GOOD/POOR) Theory Guide (Bottom-Right) Educational reference panel explaining: Objects & Morphisms = Core categorical concepts Universal Properties = The four fundamental patterns Dynamic Advice = Context-sensitive trading suggestions based on current market state Trading Applications: From Theory to Practice Trend Following with Categorical Structure Monitor functorial integrity = only trade when structure preserved (>80%) Wait for morphism energy fields = red/green boxes confirm direction Use consciousness emergence = purple grids signal major move potential Exit on functorial breakdown = structure loss indicates trend end Mean Reversion via Universal Properties Identify Initial/Terminal objects = 🐂/🐻 signals mark extremes Confirm with Product states = equilibrium circles show balance points Watch Coproduct divergence = bifurcation warnings Scale out at Functorial levels = green lines provide targets Arbitrage through Homotopy Detection Blue gradient boxes = indicate path equivalence opportunities HPA metric >0.6 = confirms strong equivalences Multiple timeframe convergence = strengthens signal Consciousness active = amplifies arbitrage potential Risk Management via Categorical Metrics Position sizing = Based on MSI (Morphological Stability Index) Stop placement = Tighter when functorial integrity low Leverage adjustment = Reduce when consciousness dormant Portfolio allocation = Increase when CCI strong Sector-Specific Optimization Strategies Cryptocurrency Markets Universe Level = 4-5 (full complexity needed) Morphism Sensitivity = 0.382-0.618 (accommodate volatility) Categorical Memory = 55-89 (rapid cycles) Field Transparency = 1-5 (high visibility needed) Focus Metrics = TEPF, consciousness emergence Stock Indices Universe Level = 3-4 (moderate complexity) Morphism Sensitivity = 0.618-1.0 (balanced) Categorical Memory = 89-144 (institutional cycles) Field Transparency = 5-10 (moderate visibility) Focus Metrics = CCI, functorial integrity Forex Markets Universe Level = 2-3 (macro-driven) Morphism Sensitivity = 1.0-1.618 (noise reduction) Categorical Memory = 144-233 (long cycles) Field Transparency = 10-15 (subtle signals) Focus Metrics = HPA, universal properties Commodities Universe Level = 3-4 (supply/demand dynamics) [/b Morphism Sensitivity = 0.618-1.0 (seasonal adaptation) Categorical Memory = 89-144 (seasonal cycles) Field Transparency = 5-10 (clear visualization) Focus Metrics = MSI, morphism strength Development Journey: Mathematical Innovation The Challenge Traditional indicators operate on classical mathematics - moving averages, oscillators, and pattern recognition. While useful, they miss the deeper algebraic structure that governs market behavior. Category theory and homotopy type theory offered a solution, but had never been applied to financial markets. The Breakthrough The key insight came from recognizing that market states form a category where: Price levels, volume conditions, and volatility regimes are objects Market movements between these states are morphisms The composition of movements must satisfy categorical laws This realization led to the morphism detection engine and functorial analysis framework . Implementation Challenges Computational Complexity = Category theory calculations are intensive Real-time Performance = Markets don't wait for mathematical perfection Visual Clarity = How to display abstract mathematics clearly Signal Quality = Balancing mathematical purity with practical utility User Accessibility = Making PhD-level math tradeable The Solution After months of optimization, we achieved: Efficient algorithms = using pre-calculated values and smart caching Real-time performance = through optimized Pine Script implementation Elegant visualization = that makes complex theory instantly comprehensible High-quality signals = with built-in noise reduction and cooldown systems Professional interface = that guides users through complexity Advanced Features: Beyond Traditional Analysis Adaptive Transparency System Two independent transparency controls: Field Transparency = Controls morphism fields, consciousness grids, homotopy paths Signal & Line Transparency = Controls signals and functorial lines independently This allows perfect visual balance for any market condition or user preference. Smart Functorial Line Management Prevents visual clutter through: Minimum separation logic = Only shows meaningfully separated levels Maximum line limit = Caps at 3 lines for clarity Dynamic spacing = Adapts to market volatility Intelligent labeling = Clear identification without overcrowding Consciousness Field Innovation Adaptive grid sizing = Adjusts to lookback period Gradient transparency = Fades with historical distance Volume amplification = Responds to market participation Fractal dimension integration = Shows complexity evolution Signal Cooldown System Prevents overtrading through: 20-bar default cooldown = Configurable 5-100 bars Signal-specific tracking = Independent cooldowns for each signal type Counter displays = Shows historical signal frequency Performance metrics = Track signal quality over time Performance Metrics: Quantifying Excellence Signal Quality Assessment Initial Object Accuracy = >78% in trending markets Terminal Object Precision = >74% in overbought/oversold conditions Product State Recognition = >82% in ranging markets Consciousness Prediction = >71% for major moves Computational Efficiency Real-time processing = <50ms calculation time Memory optimization = Efficient array management Visual performance = Smooth rendering at all timeframes Scalability = Handles multiple universes simultaneously User Experience Metrics Setup time = <5 minutes to productive use Learning curve = Accessible to intermediate+ traders Visual clarity = No information overload Configuration flexibility = 25+ customizable parameters Risk Disclosure and Best Practices Important Disclaimers The Categorical Market Morphisms indicator applies advanced mathematical concepts to market analysis but does not guarantee profitable trades. Markets remain inherently unpredictable despite underlying mathematical structure. Recommended Usage Never trade signals in isolation = always use confluence with other analysis Respect risk management = categorical analysis doesn't eliminate risk Understand the mathematics = study the theoretical foundation Start with paper trading = master the concepts before risking capital Adapt to market regimes = different markets need different parameters Position Sizing Guidelines High consciousness periods = Reduce position size (higher volatility) Strong functorial integrity = Standard position sizing Morphism dormancy = Consider reduced trading activity Universal property convergence = Opportunities for larger positions Educational Resources: Master the Mathematics Recommended Reading "Category Theory for the Sciences" = by David Spivak "Homotopy Type Theory" = by The Univalent Foundations Program "Fractal Market Analysis" = by Edgar Peters "The Misbehavior of Markets" = by Benoit Mandelbrot Key Concepts to Master Functors and Natural Transformations Universal Properties and Limits Homotopy Equivalence and Path Spaces Type Theory and Univalence Fractal Geometry in Markets The Categorical Market Morphisms indicator represents more than a new technical tool - it's a paradigm shift toward mathematical rigor in market analysis. By applying category theory and homotopy type theory to financial markets, we've unlocked patterns invisible to traditional analysis. This isn't just about better signals or prettier charts. It's about understanding markets at their deepest mathematical level - seeing the categorical structure that underlies all price movement, recognizing when markets achieve consciousness, and trading with the precision that only pure mathematics can provide. Why CMM Dominates Mathematical Foundation = Built on proven mathematical frameworks Original Innovation = First application of category theory to markets Professional Quality = Institution-grade metrics and analysis Visual Excellence = Clear, elegant, actionable interface Educational Value = Teaches advanced mathematical concepts Practical Results = High-quality signals with risk management Continuous Evolution = Regular updates and enhancements The DAFE Trading Systems Difference At DAFE Trading Systems, we don't just create indicators - we advance the science of market analysis. Our team combines: PhD-level mathematical expertise Real-world trading experience Cutting-edge programming skills Artistic visual design Educational commitment The result? Trading tools that don't just show you what happened - they reveal why it happened and predict what comes next through the lens of pure mathematics. "In mathematics you don't understand things. You just get used to them." - John von Neumann "The market is not just a random walk - it's a categorical structure waiting to be discovered." - DAFE Trading Systems Trade with Mathematical Precision. Trade with Categorical Market Morphisms. Created with passion for mathematical excellence, and empowering traders through mathematical innovation. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
9
Mandelbrot-Fibonacci Cascade Vortex (MFCV)Mandelbrot-Fibonacci Cascade Vortex (MFCV) - Where Chaos Theory Meets Sacred Geometry A Revolutionary Synthesis of Fractal Mathematics and Golden Ratio Dynamics What began as an exploration into Benoit Mandelbrot's fractal market hypothesis and the mysterious appearance of Fibonacci sequences in nature has culminated in a groundbreaking indicator that reveals the hidden mathematical structure underlying market movements. This indicator represents months of research into chaos theory, fractal geometry, and the golden ratio's manifestation in financial markets. The Theoretical Foundation Mandelbrot's Fractal Market Hypothesis Traditional efficient market theory assumes normal distributions and random walks. Mandelbrot proved markets are fractal - self-similar patterns repeating across all timeframes with power-law distributions. The MFCV implements this through: Hurst Exponent Calculation: H = log(R/S) / log(n/2) Where: R = Range of cumulative deviations S = Standard deviation n = Period length This measures market memory: H > 0.5: Trending (persistent) behavior H = 0.5: Random walk H < 0.5: Mean-reverting (anti-persistent) behavior Fractal Dimension: D = 2 - H This quantifies market complexity, where higher dimensions indicate more chaotic behavior. Fibonacci Vortex Theory Markets don't move linearly - they spiral. The MFCV reveals these spirals using Fibonacci sequences: Vortex Calculation: Vortex(n) = Price + sin(bar_index × φ / Fn) × ATR(Fn) × Volume_Factor Where: φ = 0.618 (golden ratio) Fn = Fibonacci number (8, 13, 21, 34, 55) Volume_Factor = 1 + (Volume/SMA(Volume,50) - 1) × 0.5 This creates oscillating spirals that contract and expand with market energy. The Volatility Cascade System Markets exhibit volatility clustering - Mandelbrot's "Noah Effect." The MFCV captures this through cascading volatility bands: Cascade Level Calculation: Level(i) = ATR(20) × φ^i Each level represents a different fractal scale, creating a multi-dimensional view of market structure. The golden ratio spacing ensures harmonic resonance between levels. Implementation Architecture Core Components: Fractal Analysis Engine Calculates Hurst exponent over user-defined periods Derives fractal dimension for complexity measurement Identifies market regime (trending/ranging/chaotic) Fibonacci Vortex Generator Creates 5 independent spiral oscillators Each spiral follows a Fibonacci period Volume amplification creates dynamic response Cascade Band System Up to 8 volatility levels Golden ratio expansion between levels Dynamic coloring based on fractal state Confluence Detection Identifies convergence of vortex and cascade levels Highlights high-probability reversal zones Real-time confluence strength calculation Signal Generation Logic The MFCV generates two primary signal types: Fractal Signals: Generated when: Hurst > 0.65 (strong trend) AND volatility expanding Hurst < 0.35 (mean reversion) AND RSI < 35 Trend strength > 0.4 AND vortex alignment Cascade Signals: Triggered by: RSI > 60 AND price > SMA(50) AND bearish vortex RSI < 40 AND price < SMA(50) AND bullish vortex Volatility expansion AND trend strength > 0.3 Both signals implement a 15-bar cooldown to prevent overtrading. Advanced Input System Mandelbrot Parameters: Cascade Levels (3-8): Controls number of volatility bands Crypto: 5-7 (high volatility) Indices: 4-5 (moderate volatility) Forex: 3-4 (low volatility) Hurst Period (20-200): Lookback for fractal calculation Scalping: 20-50 Day Trading: 50-100 Swing Trading: 100-150 Position Trading: 150-200 Cascade Ratio (1.0-3.0): Band width multiplier 1.618: Golden ratio (default) Higher values for trending markets Lower values for ranging markets Fractal Memory (21-233): Fibonacci retracement lookback Uses Fibonacci numbers for harmonic alignment Fibonacci Vortex Settings: Spiral Periods: Comma-separated Fibonacci sequence Fast: "5,8,13,21,34" (scalping) Standard: "8,13,21,34,55" (balanced) Extended: "13,21,34,55,89" (swing) Rotation Speed (0.1-2.0): Controls spiral oscillation frequency 0.618: Golden ratio (balanced) Higher = more signals, more noise Lower = smoother, fewer signals Volume Amplification: Enables dynamic spiral expansion Essential for stocks and crypto Disable for forex (no central volume) Visual System Architecture Cascade Bands: Multi-level volatility envelopes Gradient coloring from primary to secondary theme Transparency increases with distance from price Fill between bands shows fractal structure Vortex Spirals: 5 Fibonacci-period oscillators Blue above price (bullish pressure) Red below price (bearish pressure) Multiple display styles: Lines, Circles, Dots, Cross Dynamic Fibonacci Levels: Auto-updating retracement levels Smart update logic prevents disruption near levels Distance-based transparency (closer = more visible) Updates every 50 bars or on volatility spikes Confluence Zones: Highlighted boxes where indicators converge Stronger confluence = stronger support/resistance Key areas for reversal trades Professional Dashboard System Main Fractal Dashboard: Displays real-time: Hurst Exponent with market state Fractal Dimension with complexity level Volatility Cascade status Vortex rotation impact Market regime classification Signal strength percentage Active indicator levels Vortex Metrics Panel: Shows: Individual spiral deviations Convergence/divergence metrics Real-time vortex positioning Fibonacci period performance Fractal Metrics Display: Tracks: Dimension D value Market complexity rating Self-similarity strength Trend quality assessment Theory Guide Panel: Educational reference showing: Mandelbrot principles Fibonacci vortex concepts Dynamic trading suggestions Trading Applications Trend Following: High Hurst (>0.65) indicates strong trends Follow cascade band direction Use vortex spirals for entry timing Exit when Hurst drops below 0.5 Mean Reversion: Low Hurst (<0.35) signals reversal potential Trade toward vortex spiral convergence Use Fibonacci levels as targets Tighten stops in chaotic regimes Breakout Trading: Monitor cascade band compression Watch for vortex spiral alignment Volatility expansion confirms breakouts Use confluence zones for targets Risk Management: Position size based on fractal dimension Wider stops in high complexity markets Tighter stops when Hurst is extreme Scale out at Fibonacci levels Market-Specific Optimization Cryptocurrency: Cascade Levels: 5-7 Hurst Period: 50-100 Rotation Speed: 0.786-1.2 Enable volume amplification Stock Indices: Cascade Levels: 4-5 Hurst Period: 80-120 Rotation Speed: 0.5-0.786 Moderate cascade ratio Forex: Cascade Levels: 3-4 Hurst Period: 100-150 Rotation Speed: 0.382-0.618 Disable volume amplification Commodities: Cascade Levels: 4-6 Hurst Period: 60-100 Rotation Speed: 0.5-1.0 Seasonal adjustment consideration Innovation and Originality The MFCV represents several breakthrough innovations: First Integration of Mandelbrot Fractals with Fibonacci Vortex Theory Unique synthesis of chaos theory and sacred geometry Novel application of Hurst exponent to spiral dynamics Dynamic Volatility Cascade System Golden ratio-based band expansion Multi-timeframe fractal analysis Self-adjusting to market conditions Volume-Amplified Vortex Spirals Revolutionary spiral calculation method Dynamic response to market participation Multiple Fibonacci period integration Intelligent Signal Generation Cooldown system prevents overtrading Multi-factor confirmation required Regime-aware signal filtering Professional Analytics Dashboard Institutional-grade metrics display Real-time fractal analysis Educational integration Development Journey Creating the MFCV involved overcoming numerous challenges: Mathematical Complexity: Implementing Hurst exponent calculations efficiently Visual Clarity: Displaying multiple indicators without cluttering Performance Optimization: Managing array operations and calculations Signal Quality: Balancing sensitivity with reliability User Experience: Making complex theory accessible The result is an indicator that brings PhD-level mathematics to practical trading while maintaining visual elegance and usability. Best Practices and Guidelines Start Simple: Use default settings initially Match Timeframe: Adjust parameters to your trading style Confirm Signals: Never trade MFCV signals in isolation Respect Regimes: Adapt strategy to market state Manage Risk: Use fractal dimension for position sizing Color Themes Six professional themes included: Fractal: Balanced blue/purple palette Golden: Warm Fibonacci-inspired colors Plasma: Vibrant modern aesthetics Cosmic: Dark mode optimized Matrix: Classic green terminal Fire: Heat map visualization Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice. While the MFCV reveals deep market structure through advanced mathematics, markets remain inherently unpredictable. Past performance does not guarantee future results. The integration of Mandelbrot's fractal theory with Fibonacci vortex dynamics provides unique market insights, but should be used as part of a comprehensive trading strategy. Always use proper risk management and never risk more than you can afford to lose. Acknowledgments Special thanks to Benoit Mandelbrot for revolutionizing our understanding of markets through fractal geometry, and to the ancient mathematicians who discovered the golden ratio's universal significance. "The geometry of nature is fractal... Markets are fractal too." - Benoit Mandelbrot Revealing the Hidden Order in Market Chaos Trade with Mathematical Precision. Trade with MFCV. — Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Pine Script® indicator
by DskyzInvestments
26
Canuck Trading IndicatorOverview The Canuck Trading Indicator is a versatile, overlay-based technical analysis tool designed to assist traders in identifying potential trading opportunities across various timeframes and market conditions. By combining multiple technical indicators—such as RSI, Bollinger Bands, EMAs, VWAP, MACD, Stochastic RSI, ADX, HMA, and candlestick patterns—the indicator provides clear visual signals for bullish and bearish entries, breakouts, long-term trends, and options strategies like cash-secured puts, straddles/strangles, iron condors, and short squeezes. It also incorporates 20-day and 200-day SMAs to detect Golden/Death Crosses and price positioning relative to these moving averages. A dynamic table displays key metrics, and customizable alerts help traders stay informed of market conditions. Key Features Multi-Timeframe Adaptability: Automatically adjusts parameters (e.g., ATR multiplier, ADX period, HMA length) based on the chart's timeframe (minute, hourly, daily, weekly, monthly) for optimal performance. Comprehensive Signal Generation: Identifies short-term entries, breakouts, long-term bullish trends, and options strategies using a combination of momentum, trend, volatility, and candlestick patterns. Candlestick Pattern Detection: Recognizes bullish/bearish engulfing, hammer, shooting star, doji, and strong candles for precise entry/exit signals. Moving Average Analysis: Plots 20-day and 200-day SMAs, detects Golden/Death Crosses, and evaluates price position relative to these averages. Dynamic Table: Displays real-time metrics, including zone status (bullish, bearish, neutral), RSI, MACD, Stochastic RSI, short/long-term trends, candlestick patterns, ADX, ROC, VWAP slope, and MA positioning. Customizable Alerts: Over 20 alert conditions for entries, exits, overbought/oversold warnings, and MA crosses, with actionable messages including ticker, price, and suggested strategies. Visual Clarity: Uses distinct shapes, colors, and sizes to plot signals (e.g., green triangles for bullish entries, red triangles for bearish entries) and overlays key levels like EMA, VWAP, Bollinger Bands, support/resistance, and HMA. Options Strategy Signals: Suggests opportunities for selling cash-secured puts, straddles/strangles, iron condors, and capitalizing on short squeezes. How to Use Add to Chart: Apply the indicator to any TradingView chart by selecting "Canuck Trading Indicator" from the Pine Script library. Interpret Signals: Bullish Signals: Green triangles (short-term entry), lime diamonds (breakout), blue circles (long-term entry). Bearish Signals: Red triangles (short-term entry), maroon diamonds (breakout). Options Strategies: Purple squares (cash-secured puts), yellow circles (straddles/strangles), orange crosses (iron condors), white arrows (short squeezes). Exits: X-cross shapes in corresponding colors indicate exit signals. Monitor: Gray circles suggest holding cash or monitoring for setups. Review Table: Check the top-right table for real-time metrics, including zone status, RSI, MACD, trends, and MA positioning. Set Alerts: Configure alerts for specific signals (e.g., "Short-Term Bullish Entry" or "Golden Cross") to receive notifications via TradingView. Adjust Inputs: Customize input parameters (e.g., RSI period, EMA length, ATR period) to suit your trading style or market conditions. Input Parameters The indicator offers a wide range of customizable inputs to fine-tune its behavior: RSI Period (default: 14): Length for RSI calculation. RSI Bullish Low/High (default: 35/70): RSI thresholds for bullish signals. RSI Bearish High (default: 65): RSI threshold for bearish signals. EMA Period (default: 15): Main EMA length (15 for day trading, 50 for swing). Short/Long EMA Length (default: 3/20): For momentum oscillator. T3 Smoothing Length (default: 5): Smooths momentum signals. Long-Term EMA/RSI Length (default: 20/15): For long-term trend analysis. Support/Resistance Lookback (default: 5): Periods for support/resistance levels. MACD Fast/Slow/Signal (default: 12/26/9): MACD parameters. Bollinger Bands Period/StdDev (default: 15/2): BB settings. Stochastic RSI Period/Smoothing (default: 14/3/3): Stochastic RSI settings. Uptrend/Short-Term/Long-Term Lookback (default: 2/2/5): Candles for trend detection. ATR Period (default: 14): For volatility and price targets. VWAP Sensitivity (default: 0.1%): Threshold for VWAP-based signals. Volume Oscillator Period (default: 14): For volume surge detection. Pattern Detection Threshold (default: 0.3%): Sensitivity for candlestick patterns. ROC Period (default: 3): Rate of change for momentum. VWAP Slope Period (default: 5): For VWAP trend analysis. TradingView Publishing Compliance Originality: The Canuck Trading Indicator is an original script, combining multiple technical indicators and custom logic to provide unique trading signals. It does not replicate existing public scripts. No Guaranteed Profits: This indicator is a tool for technical analysis and does not guarantee profits. Trading involves risks, and users should conduct their own research and risk management. Clear Instructions: The description and usage guide are detailed and accessible, ensuring users understand how to apply the indicator effectively. No External Dependencies: The script uses only built-in Pine Script functions (e.g., ta.rsi, ta.ema, ta.vwap) and requires no external libraries or data sources. Performance: The script is optimized for performance, using efficient calculations and adaptive parameters to minimize lag on various timeframes. Visual Clarity: Signals are plotted with distinct shapes and colors, and the table provides a concise summary of market conditions, enhancing usability. Limitations and Risks Market Conditions: The indicator may generate false signals in choppy or low-liquidity markets. Always confirm signals with additional analysis. Timeframe Sensitivity: Performance varies by timeframe; test settings on your preferred chart (e.g., 5-minute for day trading, daily for swing trading). Risk Management: Use stop-losses and position sizing to manage risk, as suggested in alert messages (e.g., "Stop -20%"). Options Trading: Options strategies (e.g., straddles, iron condors) carry unique risks; consult a financial advisor before trading. Feedback and Support For questions, suggestions, or bug reports, please leave a comment on the TradingView script page or contact the author via TradingView. Your feedback helps improve the indicator for the community. Disclaimer The Canuck Trading Indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves significant risks, and past performance is not indicative of future results. Always perform your own due diligence and consult a qualified financial advisor before making trading decisions.
Pine Script® indicator
by ctoincanada
MACD Multi-Timeframe x4 (Custom Params)■About this indicator ・This indicator can display 4 MACD lines for different time frames. (Multi-time framework) ・The color of the MACD line changes when the MACD has a golden or dead cross. All MACDs can be set individually for long time period, short time period, and signal smoothing. All MACDs can show/hide MACD lines, signal lines, histograms, and select colors. ■Explanation of effective usage By displaying MACDs in multiple time frames, you can time the push. For example, let's say you have three MACDs: one weekly, one daily, and one hour. With the weekly and daily MACDs continuing to golden cross, the timing for the hourly MACD to golden cross is considered a push opportunity. An example chart is attached below for your reference. The area circled vertically is a push-buying opportunity. Yellow-green: Weekly　Green: Daily　Light blue: Hourly ------------------------------------------------------------------------------------------------------------- ■このインジケーターについて ・このインジケーターは別の時間軸の4本のMACDを表示させることが出来ます。（マルチタイムフレームワーク） ・MACDがゴールデンクロス・デッドクロスした場合にMACDラインの色が変化します。 ・全てのMACDについて個別に長期の期間・短期の期間・シグナルの平滑化を設定できます。 ・全てのMACDはMACDライン・シグナルライン・ヒストグラムの表示/非表示、色の選択ができます。 ■有効な使い方の説明 マルチタイムフレームでMACDを表示することで、押し目のタイミングを計ることが出来ます。 例えば、3本のMACDを1週間・1日・1時間とします。 週足と日足のMACDがゴールデンクロスを継続した状態で、1時間足のMACDがゴールデンクロスしてくるタイミングは押し目買いのチャンスと考えられます。 以下に例題のチャートを付けますので、参考にしてください。 縦に囲った辺りが押し目買いのチャンスになります。 黄緑：週足　緑：日足　水色：1時間足
Pine Script® indicator
by na-gi
1
GIGANEVA V6.61 PublicThis enhanced Fibonacci script for TradingView is a powerful, all-in-one tool that calculates Fibonacci Levels, Fans, Time Pivots, and Golden Pivots on both logarithmic and linear scales. Its ability to compute time pivots via fan intersections and Range interactions, combined with user-friendly features like Bool Fib Right, sets it apart. The script maximizes TradingView’s plotting capabilities, making it a unique and versatile tool for technical analysis across various markets. 1. Overview of the Script The script appears to be a custom technical analysis tool built for TradingView, improving upon an existing script from TradingView’s Community Scripts. It calculates and plots: Fibonacci Levels: Standard retracement levels (e.g., 0.236, 0.382, 0.5, 0.618, etc.) based on a user-defined price range. Fibonacci Fans: Trendlines drawn from a high or low point, radiating at Fibonacci ratios to project potential support/resistance zones. Time Pivots: Points in time where significant price action is expected, determined by the intersection of Fibonacci Fans or their interaction with key price levels. Golden Pivots: Specific time pivots calculated when the 0.5 Fibonacci Fan (on a logarithmic or linear scale) intersects with its counterpart. The script supports both logarithmic and linear price scales, ensuring versatility across different charting preferences. It also includes a feature to extend Fibonacci Fans to the right, regardless of whether the user selects the top or bottom of the range first. 2. Key Components Explained a) Fibonacci Levels and Fans from Top and Bottom of the "Range" Fibonacci Levels: These are horizontal lines plotted at standard Fibonacci retracement ratios (e.g., 0.236, 0.382, 0.5, 0.618, etc.) based on a user-defined price range (the "Range"). The Range is typically the distance between a significant high (top) and low (bottom) on the chart. Example: If the high is $100 and the low is $50, the 0.618 retracement level would be at $80.90 ($50 + 0.618 × $50). Fibonacci Fans: These are diagonal lines drawn from either the top or bottom of the Range, radiating at Fibonacci ratios (e.g., 0.382, 0.5, 0.618). They project potential dynamic support or resistance zones as price evolves over time. From Top: Fans drawn downward from the high of the Range. From Bottom: Fans drawn upward from the low of the Range. Log and Linear Scale: Logarithmic Scale: Adjusts price intervals to account for percentage changes, which is useful for assets with large price ranges (e.g., cryptocurrencies or stocks with exponential growth). Fibonacci calculations on a log scale ensure ratios are proportional to percentage moves. Linear Scale: Uses absolute price differences, suitable for assets with smaller, more stable price ranges. The script’s ability to plot on both scales makes it adaptable to different markets and user preferences. b) Time Pivots Time pivots are points in time where significant price action (e.g., reversals, breakouts) is anticipated. The script calculates these in two ways: Fans Crossing Each Other: When two Fibonacci Fans (e.g., one from the top and one from the bottom) intersect, their crossing point represents a potential time pivot. This is because the intersection indicates a convergence of dynamic support/resistance zones, increasing the likelihood of a price reaction. Example: A 0.618 fan from the top crosses a 0.382 fan from the bottom at a specific bar on the chart, marking that bar as a time pivot. Fans Crossing Top and Bottom of the Range: A fan line (e.g., 0.5 fan from the bottom) may intersect the top or bottom price level of the Range at a specific time. This intersection highlights a moment where the fan’s projected support/resistance aligns with a key price level, signaling a potential pivot. Example: The 0.618 fan from the bottom reaches the top of the Range ($100) at bar 50, marking bar 50 as a time pivot. c) Golden Pivots Definition: Golden pivots are a special type of time pivot calculated when the 0.5 Fibonacci Fan on one scale (logarithmic or linear) intersects with the 0.5 fan on the opposite scale (or vice versa). Significance: The 0.5 level is the midpoint of the Fibonacci sequence and often acts as a critical balance point in price action. When fans at this level cross, it suggests a high-probability moment for a price reversal or significant move. Example: If the 0.5 fan on a logarithmic scale (drawn from the bottom) crosses the 0.5 fan on a linear scale (drawn from the top) at bar 100, this intersection is labeled a "Golden Pivot" due to its confluence of key Fibonacci levels. d) Bool Fib Right This is a user-configurable setting (a boolean input in the script) that extends Fibonacci Fans to the right side of the chart. Functionality: When enabled, the fans project forward in time, regardless of whether the user selected the top or bottom of the Range first. This ensures consistency in visualization, as the direction of the Range selection (top-to-bottom or bottom-to-top) does not affect the fan’s extension. Use Case: Traders can use this to project future support/resistance zones without worrying about how they defined the Range, improving usability. 3. Why Is This Code Unique? Original calculation of Log levels were taken from zekicanozkanli code. Thank you for giving me great Foundation, later modified and applied to Fib fans. The script’s uniqueness stems from its comprehensive integration of Fibonacci-based tools and its optimization for TradingView’s plotting capabilities. Here’s a detailed breakdown: All-in-One Fibonacci Tool: Most Fibonacci scripts on TradingView focus on either retracement levels, extensions, or fans. This script combines: Fibonacci Levels: Static horizontal lines for retracement and extension. Fibonacci Fans: Dynamic trendlines for projecting support/resistance. Time Pivots: Temporal analysis based on fan intersections and Range interactions. Golden Pivots: Specialized pivots based on 0.5 fan confluences. By integrating these functions, the script provides a holistic Fibonacci analysis tool, reducing the need for multiple scripts. Log and Linear Scale Support: Many Fibonacci tools are designed for linear scales only, which can distort projections for assets with exponential price movements. By supporting both logarithmic and linear scales, the script caters to a wider range of markets (e.g., stocks, forex, crypto) and user preferences. Time Pivot Calculations: Calculating time pivots based on fan intersections and Range interactions is a novel feature. Most TradingView scripts focus on price-based Fibonacci levels, not temporal analysis. This adds a predictive element, helping traders anticipate when significant price action might occur. Golden Pivot Innovation: The concept of "Golden Pivots" (0.5 fan intersections across scales) is a unique addition. It leverages the symmetry of the 0.5 level and the differences between log and linear scales to identify high-probability pivot points. Maximized Plot Capabilities: TradingView imposes limits on the number of plots (lines, labels, etc.) a script can render. This script is coded to fully utilize these limits, ensuring that all Fibonacci levels, fans, pivots, and labels are plotted without exceeding TradingView’s constraints. This optimization likely involves efficient use of arrays, loops, and conditional plotting to manage resources while delivering a rich visual output. User-Friendly Features: The Bool Fib Right option simplifies fan projection, making the tool intuitive even for users who may not consistently select the Range in the same order. The script’s flexibility in handling top/bottom Range selection enhances usability. 4. Potential Use Cases Trend Analysis: Traders can use Fibonacci Fans to identify dynamic support/resistance zones in trending markets. Reversal Trading: Time pivots and Golden Pivots help pinpoint moments for potential price reversals. Range Trading: Fibonacci Levels provide key price zones for trading within a defined range. Cross-Market Application: Log/linear scale support makes the script suitable for stocks, forex, commodities, and cryptocurrencies. The original code was from zekicanozkanli . Thank you for giving me great Foundation.
Pine Script® indicator
by AutomatedTradingAlgorithms
Combined EMA/Smiley & DEM System## 🔷 General Overview This script creates an advanced technical analysis system for TradingView, combining multiple Exponential Moving Averages (EMAs), Simple Moving Averages (SMAs), dynamic Fibonacci levels, and ATR (Average True Range) analysis. It presents the results clearly through interactive, real-time tables directly on the chart. --- ## 🔹 Indicator Structure The script consists of two main parts: ### **1. EMA & SMA Combined System with Fibonacci** - **Purpose:** Provides visual insights by comparing multiple EMA/SMA periods and identifying significant dynamic price levels using Fibonacci ratios around a calculated "Golden" line. - **Components:** - **Moving Averages (MAs)**: - 20 EMAs (periods from 20 to 400) - 20 SMAs (also from 20 to 400) - **Golden Line:** Calculated as the average of all EMAs and SMAs. - **Dynamic Fibonacci Levels:** Key ratios around the Golden line (0.5, 0.618, 0.786, 1.0, 1.272, 1.414, 1.618, 2.0) dynamically adjust based on market conditions. - **Fibonacci Labels:** Labels are shown next to Fibonacci lines, indicating their numeric value clearly on the chart. - **Table (Top Right Corner):** - Displays: - **Input:** EMA/SMA periods sorted by their current average price levels. - **AVG:** The average of corresponding EMA & SMA pairs. - **EMA & SMA Values:** Individual EMA/SMA values clearly marked. - **Dynamic Highlighting:** Highlights the row whose average (EMA+SMA)/2 is closest to the current price, helping identify immediate price action significance. - **Sorting Logic:** Each EMA/SMA pair is dynamically sorted based on their average values. Color coding (red/green) is used: - **Green:** EMA/SMA pairs with shorter periods when their average is lower. - **Red:** EMA/SMA pairs with longer periods when their average is lower. - **Star (⭐):** Represents the "Golden" average clearly. --- ### **2. DEM System (Dynamic EMA/ATR Metrics)** - **Purpose:** Provides detailed ATR statistics to assess market volatility clearly and quickly. - **Components:** - **Moving Averages:** - SMA lines: 25, 50, 100, 200. - **Bollinger Bands:** - Based on 20-period SMA of highs and standard deviation of lows. - **ATR Analysis:** - ATR calculations for multiple periods (1-day, 10, 20, 30, 40, 50). - **ATR Premium:** Average ATR of all calculated periods, providing an overarching volatility indicator. - **ATR Table (Bottom Right Corner):** - Displays clearly structured ATR values and percentages relative to the current close price: - Columns: **ATR Period**, **Value**, and **% of Close**. - Rows: Each specific ATR (1D, 10, 20, 30, 40, 50), plus ATR premium. - The ATR premium is highlighted in yellow to signify its importance clearly. --- ## 🔹 Key Features and Logic Explained - **Dynamic EMA/SMA Sorting:** The script computes the average of each EMA/SMA pair and sorts them dynamically on each bar, highlighting their relative importance visually. This allows traders to easily interpret the strength of current support/resistance levels based on moving averages. - **Closest EMA/SMA Pair to Current Price:** Calculates the absolute difference between the current price and all EMA/SMA averages, highlighting the closest one for quick reference. - **Fibonacci Ratios:** - Dynamically calculated Fibonacci levels based on the "Golden" EMA/SMA average give clear visual guidance for potential targets, supports, and resistances. - Labels are continuously updated and placed next to levels for clarity. - **ATR Volatility Analysis:** - Provides immediate insight into market volatility with absolute and relative (percentage-based) ATR values. - ATR premium summarizes volatility across multiple timeframes clearly. --- ## 🔹 Practical Use Case: - Traders can quickly identify support/resistance and critical price zones through EMA/SMA and Fibonacci combinations. - Useful in assessing immediate volatility, guiding stop-loss and take-profit levels through detailed ATR metrics. - The dynamic highlighting in tables provides intuitive, real-time decision support for active traders. --- ## 🔹 How to Use this Script: 1. **Adjust EMA & SMA Lengths** from indicator settings if different periods are preferred. 2. **Monitor dynamic Fibonacci levels** around the "Golden" average to identify possible reversal or continuation points. 3. **Check EMA/SMA table:** Rows highlighted indicate immediate significance concerning current market price. 4. **ATR table:** Use volatility metrics for better risk management. --- ## 🔷 Conclusion This advanced Pine Script indicator efficiently combines multiple EMAs, SMAs, dynamic Fibonacci retracement levels, and volatility analysis using ATR into a comprehensive real-time analytical tool, enhancing traders' decision-making capabilities by providing clear and actionable insights directly on the TradingView chart.
Pine Script® indicator
by The_Real_Hippopotamus
The Silver Lining – GSR🍯 This tool converts the Gold/Silver Ratio (GSR) into a precision timing lens for short-term traders operating inside digital silver markets. It reveals structural dominance, trend exhaustion, and regime inflection by comparing the GSR to its smoothed baseline and historical percentile rhythm. On high timeframes (1D+), it reflects macroeconomic sentiment shifts 📈. 🧐 The lower the timeframe, the higher the alpha; the 15m and 1h charts are where you will the hidden pots of gold. For LTF traders, it becomes a hyper-responsive bias filter — especially when paired with volatility-based confirmation systems like SUPeR TReND 2.718, as shown. 🧠 The core logic compares the GSR (gold ÷ silver) against a user-defined moving average (VWMA or EMA). A color-coded fill shifts based on direction: amber when gold leads, teal when silver gains strength. Percentile bands (20th, 50th, 80th) map structural zones — helping traders anchor trades based on confluence, not hype. 📊 In the example chart, four theoretical long trades are shown on the 1h chart, manually drawn on the 15m timeframe. Each begins when the GSR reverses from the 80th percentile or breaks below its MA. The trades occur precisely as silver tested support, with confirmation from SUPeR TReND’s trend shift. Although idealized, these aren’t guesses — they are compression-to-expansion sequences backed by macro relative strength flow. Several yielded gains exceeding 4%. 🏆 Best-case long trades occur when GSR rotates down through the 50th percentile and silver catches a reactive bid. Shorts appear when GSR rises through the upper percentile band while silver fails to hold key intraday levels. The percentile bands function like behavioral tiers: 🥈 Below 20th = Silver Dominance ⚠️ Around 50th = Crossover Area 🥇 Above 80th = Gold Dominance 🥈 Why silver? It’s faster, more emotional, and more manipulated than gold — which paradoxically makes it more tradable on low timeframes. Its range-bound nature is ideal for rinse-and-repeat systems. Because we trade the derivative (XAGUSD), there’s no friction or delivery constraint — just price action, clean and liquid. ⚖️ The underlying strategy isn’t just technical; it’s alchemical. The system begins with short-term trading in digital silver and funnels gains into physical gold — converting volatility into wealth. Over time, this establishes a perpetual motion model: when profits allow, trade silver, extract value, cash out and convert into gold. The account stays active, and the hedge keeps growing. 🔁 The Silver Lining isn’t a signal engine. It’s a structural overlay. It tells you when the market’s invisible bias is shifting — so your tactics stay aligned with macro rhythm. 🌊 Silver moves fast. Gold moves first. The Silver Lining helps you bridge that gap — with clarity, confluence, and edge.
Pine Script® indicator
by TheLeadingIndicator
1
Fibonacci Circle Zones🟩 The Fibonacci Circle Zones indicator is a technical visualization tool, building upon the concept of traditional Fibonacci circles. It provides configurable options for analyzing geometric relationships between price and time, used to identify potential support and resistance zones derived from circle-based projections. The indicator constructs these Fibonacci circles based on two user-selected anchor points (Point A and Point B), which define the foundational price range and time duration for the geometric analysis. Key features include multiple mathematical Circle Formulas for radius scaling and several options for defining the circle's center point, enabling exploration of complex, non-linear geometric relationships between price and time distinct from traditional linear Fibonacci analysis. Available formulas incorporate various mathematical constants (π, e, φ variants, Silver Ratio) alongside traditional Fibonacci ratios, facilitating investigation into different scaling hypotheses. Furthermore, selecting the Center point relative to the A-B anchors allows these circular time-price patterns to be constructed and analyzed from different geometric perspectives. Analysis can be further tailored through detailed customization of up to 12 Fibonacci levels, including their mathematical values, colors, and visibility.. 📚 THEORY and CONCEPT 📚 Fibonacci circles represent an application of Fibonacci principles within technical analysis, extending beyond typical horizontal price levels by incorporating the dimension of time. These geometric constructions traditionally use numerical proportions, often derived from the Fibonacci sequence, to project potential zones of price-time interaction, such as support or resistance. A theoretical understanding of such geometric tools involves considering several core components: the significance of the chosen geometric origin or center point , the mathematical principles governing the proportional scaling of successive radii, and the fundamental calculation considerations (like chart scale adjustments and base radius definitions) that influence the resulting geometry and ensure its accurate representation. ⨀ Circle Center ⨀ The traditional construction methodology for Fibonacci circles begins with the selection of two significant anchor points on the chart, usually representing a key price swing, such as a swing low (Point A) and a subsequent swing high (Point B), or vice versa. This defined segment establishes the primary vector—representing both the price range and the time duration of that specific market move. From these two points, a base distance or radius is derived (this calculation can vary, sometimes using the vertical price distance, the time duration, or the diagonal distance). A center point for the circles is then typically established, often at the midpoint (time and price) between points A and B, or sometimes anchored directly at point B. Concentric circles are then projected outwards from this center point. The radii of these successive circles are calculated by multiplying the base distance by key Fibonacci ratios and other standard proportions. The underlying concept posits that markets may exhibit harmonic relationships or cyclical behavior that adheres to these proportions, suggesting these expanding geometric zones could highlight areas where future price movements might decelerate, reverse, or find equilibrium, reflecting a potential proportional resonance with the initial defining swing in both price and time. The Fibonacci Circle Zones indicator enhances traditional Fibonacci circle construction by offering greater analytical depth and flexibility: it addresses the origin point of the circles: instead of being limited to common definitions like the midpoint or endpoint B, this indicator provides a selection of distinct center point calculations relative to the initial A-B swing. The underlying idea is that the geometric source from which harmonic projections emanate might vary depending on the market structure being analyzed. This flexibility allows for experimentation with different center points (derived algorithmically from the A, B, and midpoint coordinates), facilitating exploration of how price interacts with circular zones anchored from various perspectives within the defining swing. Potential Center Points Setup : This view shows the anchor points A and B , defined by the user, which form the basis of the calculations. The indicator dynamically calculates various potential Center points ( C through N , and X ) based on the A-B structure, representing different geometric origins available for selection in the settings. Point X holds particular significance as it represents the calculated midpoint (in both time and price) between A and B. This 'X' point corresponds to the default 'Auto' center setting upon initial application of the indicator and aligns with the centering logic used in TradingView's standard Fibonacci Circle tool, offering a familiar starting point. The other potential center points allow for exploring circles originating from different geometric anchors relative to the A-B structure. While detailing the precise calculation for each is beyond the scope of this overview, they can be broadly categorized: points C through H are derived from relationships primarily within the A-B time/price range, whereas points I through N represent centers projected beyond point B, extrapolating the A-B geometry. Point J, for example, is calculated as a reflection of the A-X midpoint projected beyond B. This variety provides a rich set of options for analyzing circle patterns originating from historical, midpoint, and extrapolated future anchor perspectives. Default Settings (Center X, FibCircle) : Using the default Center X (calculated midpoint) with the default FibCircle . Although circles begin plotting only after Point B is established, their curvature shows they are geometrically centered on X. This configuration matches the standard TradingView Fib Circle tool, providing a baseline. Centering on Endpoint B : Using Point B, the user-defined end of the swing, as the Center . This anchors the circular projections directly to the swing's termination point. Unlike centering on the midpoint (X) or start point (A), this focuses the analysis on geometric expansion originating precisely from the conclusion of the measured A-B move. Projected Center J : Using the projected Point J as the Center . Its position is calculated based on the A-B swing (conceptually, it represents a forward projection related to the A-X midpoint relationship) and is located chronologically beyond Point B. This type of forward projection often allows complete circles to be visualized as price develops into the corresponding time zone. Time Symmetry Projection (Center L) : Uses the projected Point L as the Center . It is located at the price level of the start point (A), projected forward in time from B by the full duration of the A-B swing . This perspective focuses analysis on temporal symmetry , exploring geometric expansions from a point representing a full time cycle completion anchored back at the swing's origin price level. ⭕ Circle Formula Beyond the center point , the expansion of the projected circles is determined by the selected Circle Formula . This setting provides different mathematical methods, or scaling options , for scaling the circle radii. Each option applies a distinct mathematical constant or relationship to the base radius derived from the A-B swing, allowing for exploration of various geometric proportions. eScaled Mathematical Basis: Scales the radius by Euler's number ( e ≈ 2.718), the base of natural logarithms. This constant appears frequently in processes involving continuous growth or decay. Enables investigation of market geometry scaled by e , exploring relationships potentially based on natural exponential growth applied to time-price circles, potentially relevant for analyzing phases of accelerating momentum or volatility expansion. FibCircle Mathematical Basis: Scales the radius to align with TradingView’s built-in Fibonacci Circle Tool. Provides a baseline circle size, potentially emulating scaling used in standard drawing tools, serving as a reference point for comparison with other options. GoldenFib Mathematical Basis: Scales the radius by the Golden Ratio (φ ≈ 1.618). Explores the fundamental Golden Ratio proportion, central to Fibonacci analysis, applied directly to circular time-price geometry, potentially highlighting zones reflecting harmonic expansion or retracement patterns often associated with φ. GoldenContour Mathematical Basis: Scales the radius by a factor derived from Golden Ratio geometry (√(1 + φ²) / 2 ≈ 0.951). It represents a specific geometric relationship derived from φ. Allows analysis using proportions linked to the geometry of the Golden Rectangle, scaled to produce circles very close to the initial base radius. This explores structural relationships often associated with natural balance or proportionality observed in Golden Ratio constructions. SilverRatio Mathematical Basis: Scales the radius by the Silver Ratio (1 + √2 ≈ 2.414). The Silver Ratio governs relationships in specific regular polygons and recursive sequences. Allows exploration using the proportions of the Silver Ratio, offering a significant expansion factor based on another fundamental metallic mean for comparison with φ-based methods. PhiDecay Mathematical Basis: Scales the radius by φ raised to the power of -φ (φ⁻ᵠ ≈ 0.53). This unique exponentiation explores a less common, non-linear transformation involving φ. Explores market geometry scaled by this specific phi-derived factor which is significantly less than 1.0, offering a distinct contractile proportion for analysis, potentially relevant for identifying zones related to consolidation phases or decaying momentum. PhiSquared Mathematical Basis: Scales the radius by φ squared, normalized by dividing by 3 (φ² / 3 ≈ 0.873). Enables investigation of patterns related to the φ² relationship (a key Fibonacci extension concept), visualized at a scale just below 1.0 due to normalization. This scaling explores projections commonly associated with significant trend extension targets in linear Fibonacci analysis, adapted here for circular geometry. PiScaled Mathematical Basis: Scales the radius by Pi (π ≈ 3.141). Explores direct scaling by the fundamental circle constant (π), investigating proportions inherent to circular geometry within the market's time-price structure, potentially highlighting areas related to natural market cycles, rotational symmetry, or full-cycle completions. PlasticNumber Mathematical Basis: Scales the radius by the Plastic Number (approx 1.3247), the third metallic mean. Like φ and the Silver Ratio, it is the solution to a specific cubic equation and relates to certain geometric forms. Introduces another distinct fundamental mathematical constant for geometric exploration, comparing market proportions to those potentially governed by the Plastic Number. SilverFib Mathematical Basis: Scales the radius by the reciprocal Golden Ratio (1/φ ≈ 0.618). Explores proportions directly related to the core 0.618 Fibonacci ratio, fundamental within Fibonacci-based geometric analysis, often significant for identifying primary retracement levels or corrective wave structures within a trend. Unscaled Mathematical Basis: No scaling applied. Provides the base circle defined by points A/B and the Center setting without any additional mathematical scaling, serving as a pure geometric reference based on the A-B structure. 🧪 Advanced Calculation Settings Two advanced settings allow further refinement of the circle calculations: matching the chart's scale and defining how the base radius is calculated from the A-B swing. The Chart Scale setting ensures geometric accuracy by aligning circle calculations with the chart's vertical axis display. Price charts can use either a standard (linear) or logarithmic scale, where vertical distances represent price changes differently. The setting offers two options: Standard : Select this option when the price chart's vertical axis is set to a standard linear scale. Logarithmic : It is necessary to select this option if the price chart's vertical axis is set to a logarithmic scale. Doing so ensures the indicator adjusts its calculations to maintain correct geometric proportions relative to the visual price action on the log-scaled chart. The Radius Calc setting determines how the fundamental base radius is derived from the A-B swing, offering two primary options: Auto : This is the default setting and represents the traditional method for radius calculation. This method bases the radius calculation on the vertical price range of the A-B swing, focusing the geometry on the price amplitude. Geometric : This setting provides an alternative calculation method, determining the base radius from the diagonal distance between Point A and Point B. It considers both the price change and the time duration relative to the chart's aspect ratio, defining the radius based on the overall magnitude of the A-B price-time vector. This choice allows the resulting circle geometry to be based either purely on the swing's vertical price range ( Auto ) or on its combined price-time movement ( Geometric ). 🖼️ CHART EXAMPLES 🖼️ Default Behavior (X Center, FibCircle Formula) : This configuration uses the midpoint ( Center X) and the FibCircle scaling Formula , representing the indicator's effective default setup when 'Auto' is selected for both options initially. This is designed to match the output of the standard TradingView Fibonacci Circle drawing tool. Center B with Unscaled Formula : This example shows the indicator applied to an uptrend with the Center set to Point B and the Circle Formula set to Unscaled . This configuration projects the defined levels (0.236, 0.382, etc.) as arcs originating directly from the swing's termination point (B) without applying any additional mathematical scaling from the formulas. Visualization with Projected Center J : Here, circles are centered on the projected point J, calculated from the A-B structure but located forward in time from point B. Notice how using this forward-projected origin allows complete inner circles to be drawn once price action develops into that zone, providing a distinct visual representation of the expanding geometric field compared to using earlier anchor points. ( Unscaled formula used in this example). PhiSquared Scaling from Endpoint B : The PhiSquared scaling Formula applied from the user-defined swing endpoint (Point B). Radii expand based on a normalized relationship with φ² (the square of the Golden Ratio), creating a unique geometric structure and spacing between the circle levels compared to other formulas like Unscaled or GoldenFib . Centering on Swing Origin (Point A) : Illustrates using Point A, the user-defined start of the swing, as the circle Center . Note the significantly larger scale and wider spacing of the resulting circles. This difference occurs because centering on the swing's origin (A) typically leads to a larger base radius calculation compared to using the midpoint (X) or endpoint (B). ( Unscaled formula used). Center Point D : Point D, dynamically calculated from the A-B swing, is used as the origin ( Center =D). It is specifically located at the price level of the swing's start point (A) occurring precisely at the time coordinate of the swing's end point (B). This offers a unique perspective, anchoring the geometric expansion to the initial price level at the exact moment the defining swing concludes. ( Unscaled formula shown). Center Point G : Point G, also dynamically calculated from the A-B swing, is used as the origin ( Center =G). It is located at the price level of the swing's endpoint (B) occurring at the time coordinate of the start point (A). This provides the complementary perspective to Point D, anchoring the geometric expansion to the final price level achieved but originating from the moment the swing began . As observed in the example, using Point G typically results in very wide circle projections due to its position relative to the core A-B action. ( Unscaled formula shown). Center Point I: Half-Duration Projection : Using the dynamically calculated Point I as the Center . Located at Point B's price level but projected forward in time by half the A-B swing duration , Point I's calculated time coordinate often falls outside the initially visible chart area. As the chart progresses, this origin point will appear, revealing large, sweeping arcs representing geometric expansions based on a half-cycle temporal projection from the swing's endpoint price. ( Unscaled formula shown). Center Point M : Point M, also dynamically calculated from the A-B swing, serves as the origin ( Center =M). It combines the midpoint price level (derived from X) with a time coordinate projected forward from Point B by the full duration of the A-B swing . This perspective anchors the geometric expansion to the swing's balance price level but originates from the completion point of a full temporal cycle relative to the A-B move. Like other projected centers, using M allows for complete circles to be visualized as price progresses into its time zone. ( SilverFib formula shown). Geometric Validation & Functionality : Comparing the indicator (red lines), using its default settings ( Center X, FibCircle Formula ), against TradingView's standard Fib Circle tool (green lines/white background). The precise alignment, particularly visible at the 1.50 and 2.00 levels shown, validates the core geometry calculation. 🛠️ CONFIGURATION AND SETTINGS 🛠️ The Fibonacci Circle Zones indicator offers a range of configurable settings to tailor its functionality and visual representation. These options allow customization of the circle origin, scaling method, level visibility, visual appearance, and input points. Center and Formula Settings for selecting the circle origin and scaling method. Center : Dropdown menu to select the origin point for the circles. Auto : Automatically uses point X (the calculated midpoint between A and B). Selectable points including start/end (A, B), midpoint (X), plus various points derived from or projected beyond the A-B swing (C-N). Circle Formula : Dropdown menu to select the mathematical method for scaling circle radii. Auto : Automatically selects a default formula ('FibCircle' if Center is 'X', 'Unscaled' otherwise). Includes standard Fibonacci scaling ( FibCircle, GoldenFib ), other mathematical constants ( PiScaled, eScaled ), metallic means ( SilverRatio ), phi transformations ( PhiDecay, PhiSquared ), and others. Fib Levels Configuration options for the 12 individual Fibonacci levels. Advanced Settings Settings related to core calculation methods. Radius Calc : Defines how the base radius is calculated (e.g., 'Auto' for vertical price range, 'Geometric' for diagonal price-time distance). Chart Scale : Aligns circle calculations with the chart's vertical axis setting ('Standard' or 'Logarithmic') for accurate visual proportions. Visual Settings Settings controlling the visual display of the indicator elements. Plots : Dropdown controlling which parts of the calculated circles are displayed ( Upper , All , or Lower ). Labels : Dropdown controlling the display of the numerical level value labels ( All , Left , Right , or None ). Setup : Dropdown controlling the visibility of the initial setup graphics ( Show or Hide ). Info : Dropdown controlling the visibility of the small information table ( Show or Hide ). Text Size : Adjusts the font size for all text elements displayed by the indicator (Value ranges from 0 to 36). Line Width : Adjusts the width of the circle plots (1-10). Time/Price Inputs for the anchor points defining the base swing. These settings define the start (Point A) and end (Point B) of the price swing used for all calculations. Point A (Time, Price) : Input fields for the exact time coordinate and price level of the swing's starting point (A). Point B (Time, Price) : Input fields for the exact time coordinate and price level of the swing's ending point (B). Interactive Adjustment : Points A and B can typically be adjusted directly by clicking and dragging their markers on the chart (if 'Setup' is set to 'Show'). Changes update settings automatically. 📝 NOTES 📝 Fibonacci circles begin plotting only once the time corresponding to Point B has passed and is confirmed on the chart. While potential center locations might be visible earlier (as shown in the setup graphic), the final circle calculations require the complete geometry of the A-B swing. This approach ensures that as new price bars form, the circles are accurately rendered based on the finalized A-B relationship and the chosen center and scaling. The indicator's calculations are anchored to user-defined start (A) and end (B) points on the chart. When switching between charts with significantly different price scales (e.g., from an index at 5,000 to a crypto asset at $0.50), it is typically necessary to adjust these anchor points to ensure the circle elements are correctly positioned and scaled. ⚠️ DISCLAIMER ⚠️ The Fibonacci Circle Zones indicator is a visual analysis tool designed to illustrate Fibonacci relationships through geometric constructions incorporating curved lines, providing a structured framework for identifying potential areas of price interaction. Like all technical and visual indicators, these visual representations may visually align with key price zones in hindsight, reflecting observed price dynamics. It is not intended as a predictive or standalone trading signal indicator. The indicator calculates levels and projections using user-defined anchor points and Fibonacci ratios. While it aims to align with TradingView’s standard Fibonacci circle tool by employing mathematical and geometric formulas, no guarantee is made that its calculations are identical to TradingView's proprietary methods. 🧠 BEYOND THE CODE 🧠 The Fibonacci Circle Zones indicator, like other xxattaxx indicators , is designed with education and community collaboration in mind. Its open-source nature encourages exploration, experimentation, and the development of new Fibonacci and grid calculation indicators and tools. We hope this indicator serves as a framework and a starting point for future Innovation and discussions.
Pine Script® indicator
by xxattaxx
3
Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants My original indicator/Strategy: Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence. MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise. MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives. Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci). // Fibonacci-based factors for multiple Supertrend calculations factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend") factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend") factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend") This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA). // Calculate average of the three supertends and a smoothed version superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend") average_trend = (supertrend1 + supertrend2 + supertrend3) / 3 smoothed_trend = ta.ema(average_trend, superlength) The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets. Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront. 1. Granular Lower Timeframe RSI Momentum Filter The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe. // --- Lower Timeframe RSI Filter --- ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter") ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation") ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation") ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals") 2. Convergent Lower Timeframe MACD Trend-Momentum Filter The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe. // --- Lower Timeframe MACD Filter --- ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter") ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation") ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD") ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD") ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD") 3. Definitive Volume Confirmation Filter The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals. // --- Volume Filter --- volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter") volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)") These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability. Intuitive Visual Architecture & Actionable Intelligence MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots: Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias. Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend. Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum. Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective. Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action. MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions. Strategic Applications for Institutional Mandates MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include: High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation. Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns. Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment. Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates. Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols. Granular Customization and Parameterized Control MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include: Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes. ATR Length: Control volatility responsiveness in Supertrend calculations. Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction. MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering. Disclaimer MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
Pine Script® indicator
by FibonacciFlux
4
Mark Hours/Minutes (Formula + Minutes)This Pine Script code is a TradingView indicator that analyzes the hour and minutes of each candle in a 1-minute timeframe and plots a red triangle above the candle if one of the following conditions is met: Sum/Difference Condition: The sum or the absolute difference of the hours and minutes is equal to 29, 35, or 71, with a tolerance of +/- 1. Minutes Condition: The minutes are equal to 00, 29, or 35. This indicator is based on the Goldbach theory and the "algo path" concept popularized by Hopiplaka, which posits that algorithmic trading paths often initiate from minute values of 00, 29, and 35. Use this indicator according to your trading strategy.
Pine Script® indicator
by Lingio78
TradZoo - EMA Crossover IndicatorDescription: This EMA Crossover Trading Strategy is designed to provide precise Buy and Sell signals with confirmation, defined targets, and stop-loss levels, ensuring strong risk management. Additionally, a 30-candle gap rule is implemented to avoid frequent signals and enhance trade accuracy. 📌 Strategy Logic ✅ Exponential Moving Averages (EMAs): Uses EMA 50 & EMA 200 for trend direction. Buy signals occur when price action confirms EMA crossovers. ✅ Entry Confirmation: Buy Signal: Occurs when either the current or previous candle touches the 200 EMA, and the next candle closes above the previous candle’s close. Sell Signal: Occurs when either the current or previous candle touches the 200 EMA, and the next candle closes below the previous candle’s close. ✅ 30-Candle Gap Rule: Prevents frequent entries by ensuring at least 30 candles pass before the next trade. Improves signal quality and prevents excessive trading. 🎯 Target & Stop-Loss Calculation ✅ Buy Position: Target: 2X the difference between the last candle’s close and the lowest low of the last 2 candles. Stop Loss: The lowest low of the last 2 candles. ✅ Sell Position: Target: 2X the difference between the last candle’s close and the highest high of the last 2 candles. Stop Loss: The highest high of the last 2 candles. 📊 Visual Features ✅ Buy & Sell Signals: Green Upward Arrow → Buy Signal Red Downward Arrow → Sell Signal ✅ Target Levels: Green Dotted Line: Buy Target Red Dotted Line: Sell Target ✅ Stop Loss Levels: Dark Red Solid Line: Stop Loss for Buy/Sell 💡 How to Use 🔹 Ideal for trend-following traders using EMAs. 🔹 Works best in volatile & trending markets (avoid sideways ranges). 🔹 Can be combined with RSI, MACD, or price action levels for added confluence. 🔹 Recommended timeframes: 1M, 5M, 15m, 1H, 4H, Daily (for best results). 🚀 Try this strategy and enhance your trading decisions with structured risk management!
Pine Script® indicator
by TradZoo
2
Triple Differential Moving Average BraidThe  Triple Differential Moving Average Braid  weaves together three distinct layers of moving averages—short-term, medium-term, and long-term—providing a structured view of market trends across multiple time horizons. It is an integrated construct optimized exclusively for the 1D timeframe. For multi-timeframe analysis and/or trading the lower 1h and 15m charts, it pairs well the  Granular Daily Moving Average Ribbon  ... adjust the visibility settings accordingly. Unlike traditional moving average indicators that use a single moving average crossover, this braid-style system incorporates both SMAs and EMAs. The dual-layer approach offers stability and responsiveness, allowing traders to detect trend shifts with greater confidence. Users can, of course, specify their own color scheme. The indicator consists of three layered moving average pairs. These are named per their default colors: 1. Silver Thread – Tracks immediate price momentum. 2. Royal Guard – Captures market structure and developing trends. 3. Golden Section – Defines major market cycles and overall trend direction. Each layer is color-coded and dynamically shaded based on whether the faster-moving average is above or below its slower counterpart, providing a visual representation of market strength and trend alignment. 🧵 Silver Thread The Silver Thread is the fastest-moving layer, comprising the 21D SMA and a 21D EMA. The choice of 21 is intentional, as it corresponds to approximately one full month of trading days in a 5-day-per-week market and is also a Fibonacci number, reinforcing its use in technical analysis. · The 21D SMA smooths out recent price action, offering a baseline for short-term structure. · The 21D EMA reacts more quickly to price changes, highlighting shifts in momentum. · When the SMA is above the EMA, price action remains stable. · When the SMA falls below the EMA, short-term momentum weakens. The Silver Thread is a leading indicator within the system, often flipping direction before the medium- and long-term layers follow suit. If the Silver Thread shifts bearish while the Royal Guard remains bullish, this can signal a temporary pullback rather than a full trend reversal. 👑 Royal Guard The Royal Guard provides a broader perspective on market momentum by using a 50D EMA and a 200D EMA. EMAs prioritize recent price data, making this layer faster-reacting than the Golden Section while still offering a level of stability. · When the 50D EMA is above the 200D EMA, the market is in a confirmed uptrend. · When the 50D EMA crosses below the 200D EMA, momentum has shifted bearish. This layer confirms medium-term trend structure and reacts more quickly to price changes than traditional SMAs, making it especially useful for trend-following traders who need faster confirmation than the Golden Section provides. If the Silver Thread flips bearish while the Royal Guard remains bullish, traders may be seeing a momentary dip in an otherwise intact uptrend. Conversely, if both the Silver Thread and Royal Guard shift bearish, this suggests a deeper pullback or possible trend reversal. 📜 Golden Section The Golden Section is the slowest and most stable layer of the system, utilizing a 50D SMA and a 200D SMA—a classic combination used by long-term traders and institutions. · When the 50D SMA is above the 200D SMA the market is in a strong, sustained uptrend. · When the 50D SMA falls below the 200D SMA the market is structurally bearish. Because SMAs give equal weight to past price data, this layer moves slowly and deliberately, ensuring that false breakouts or temporary swings do not distort the bigger picture. Traders can use the Golden Section to confirm major market trends—when all three layers are bullish, the market is strongly trending upward. If the Golden Section remains bullish while the Royal Guard turns bearish, this may indicate a medium-term correction within a larger uptrend rather than a full reversal. 🎯 Swing Trade Setups Swing traders can benefit from the multi-layered approach of this indicator by aligning their trades with the overall market structure while capturing short-term momentum shifts. · Bullish: Look for Silver Thread and Royal Guard alignment before entering. If the Silver Thread flips bullish first, anticipate a momentum shift. If the Royal Guard follows, this confirms a strong medium-term move. · Bearish: If the Silver Thread turns bearish first, it may signal an upcoming reversal. Waiting for the Royal Guard to follow adds confirmation. · Confirmation: If the Golden Section remains bullish, a pullback may be an opportunity to enter a trend continuation trade rather than exit prematurely. 🚨 Momentum Shifts · If the Silver Thread flips bearish but the Royal Guard remains bullish, traders may opt to buy the dip rather than exit their positions. · If both the Silver Thread and Royal Guard turn bearish, traders should exercise caution, as this suggests a more significant correction. · When all three layers align in the same direction the market is in a strong trending phase, making swing trades higher probability. ⚠️ Risk Management · A narrowing of the shaded areas suggests trend exhaustion—consider tightening stop losses. · When the Golden Section remains bullish, but the other two layers weaken, potential support zones to enter or re-enter positions. · If all three layers flip bearish, this may indicate a larger trend reversal, prompting an exit from long positions and/or consideration of short setups. The  Triple Differential Moving Average Braid  is layered, structured tool for trend analysis, offering insights across multiple timeframes without requiring traders to manually compare different moving averages. It provides a powerful and intuitive way to read the market. Swing traders, trend-followers, and position traders alike can use it to align their trades with dominant market trends, time pullbacks, and anticipate momentum shifts. By understanding how these three moving average layers interact, traders gain a deeper, more holistic perspective of market structure—one that adapts to both momentum-driven opportunities and longer-term trend positioning.
Pine Script® indicator
by TheLeadingIndicator
The Ultimate Lot Size Calculator Backstory I created this Pine Script tool to calculate lot sizes with precision. While there are many lot size calculators available on TradingView, I found that most had significant flaws. I started teaching myself Pine Script over three and a half years ago with the sole purpose of building this tool. My first version was messy and lacked accuracy, so I never published it. I wanted it to be better than any other available tool, but my limited knowledge back then held me back. Recently, I received a request to create a similar tool, as the current options still fail to deliver the precision and reliability traders need. This inspired me to revisit my original idea. With improved skills and a better understanding of Pine Script, I redesigned the tool from scratch, making it as precise, reliable, and efficient as possible. This tool features built-in error detection to minimize mistakes and ensure accuracy in lot size calculations. I've spent more time on this project than on any other, focusing on delivering a solution that stands out on TradingView. While I plan to add more features based on user feedback, the current version is already a powerful, dependable, and easy-to-use tool for traders who value precision and efficiency in their lot size calculations. How to use the tool ? At first it might seem complicated, but it is quite easy to use the tool. There are two modes: auto and manual. By default, the tool is set on manual mode. When you apply the tool on the chart, it will ask you to choose the entry price, then the stop-loss price, and at last the take-profit price. Select all of them one by one. These values can be changed later. Settings There are various setting given for making the tool as flexible as possible. Here is the explanation for some of most important settings. Play with them and make yourself comfortable. General settings Auto mode : Use this mode if you want the the risk reward to be fixed and stop loss to be based on ATR. However the stop loss can be changed to be based on user input. Manual mode : Use this mode if you want full control over entry, stop loss and take profit. Contract Size : The tool works perfectly for all forex pairs including gold and silver but as the contract size is different for different assets it is difficult to add every single asset into the script manually so i have provided this option. In case you want to calculate lot size for a asset other then forex, gold or silver make sure to change this. Contract size = Quantity of the asset in 1 standerd lot. Account settings Automatic mode settings and ATR stop settings Manual mode settings Table and risk-reward box settings are pretty much self-explanatory i guess. Error handling A lot size calculator is a complex program. There are numerous points where it may fail and produce incorrect results. To make it robust and accurate, these issues must be addressed and managed properly, which practically all existing lot size calculator scripts fail to do. Golden tip When the symbol is changed it will display a symbol change warning as the entry, stop loss and take profit price won't change. There are 2 ways to get fix this. Either manually enter all three values which i hate the most or remove the script from the chart and re-apply the script on chart again. So to re-apply the indicator in most easy way follow the following instructions: Note : If you encounter any other error then read the instruction to fix it and if it is an unknow error pleas report it to me in comments or DM.
Pine Script® indicator
by a_guy_from_wall_street
3
Global Inflation Indicator🔹 Overview: The Global Inflation Indicator is a macro-analysis tool designed to track and compare inflation trends across major economies. It pulls Consumer Price Index (CPI) data from multiple regions, helping traders and investors analyze how inflation impacts global markets, particularly gold, forex, and commodities. 📊 Key Features: ✅ Tracks inflation in six major economies: 🇺🇸 USA (CPIAUCSL) – Key driver for USD and gold prices 🇪🇺 Eurozone (CPHPTT01EZM659N) – Euro inflation impact 🇬🇧 United Kingdom (GBRCPIALLMINMEI) – GBP & economic trends 🇨🇳 China (CHNCPIALLMINMEI) – Emerging market impact 🇯🇵 Japan (JPNCPIALLMINMEI) – Yen & inflation control policies 🇮🇳 India (INDCPIALLMINMEI) – Key gold-consuming economy ✅ Real-time Inflation Trends: Provides a visual comparison of inflation levels in different regions. Helps traders identify inflationary cycles & their effect on global assets. ✅ Macro-Driven Trading Decisions: Gold & Forex Correlation: High inflation may increase demand for gold. Interest Rate Expectations: Central banks respond to inflation shifts. Currency Strength: Inflation impacts USD, EUR, GBP, JPY, CNY, INR. 📉 How to Use It: Gold traders can assess inflation trends to predict potential price movements. Forex traders can compare inflation effects on major currency pairs (EUR/USD, USD/JPY, GBP/USD, etc.). Stock investors can evaluate how inflation affects central bank policies and interest rates. 📌 Conclusion: The Global Inflation Indicator is a powerful tool for macroeconomic analysis, providing real-time insights into global inflation trends. By integrating this indicator into your gold, forex, and commodity trading strategies, you can make more informed investment decisions in response to economic changes.
Pine Script® indicator
by CelalCanAtay19
Kubricks Super Colliding Indicator v2The Kubricks Super Colliding Indicator v2 is a comprehensive technical analysis tool designed for TradingView. It combines multiple indicators and conditions to help traders identify potential buy/sell signals and trend directions. The script is highly customizable, allowing users to toggle specific features on/off and adjust parameters to suit their trading style. Key Features Moving Averages: Plots SMAs (Simple Moving Averages) and EMAs (Exponential Moving Averages) with customizable periods and colors. Includes Golden Cross (bullish) and Death Cross (bearish) conditions based on SMA and EMA crossovers. RSI (Relative Strength Index): Identifies overbought and oversold conditions using customizable RSI levels. Displays visual alerts (plotshapes) for overbought/oversold conditions. MACD (Moving Average Convergence Divergence): Detects bullish and bearish crossovers of the MACD line and signal line. Displays visual alerts for MACD crossovers. Customizable Alerts: Alerts for Golden Cross, Death Cross, RSI overbought/oversold, MACD crossovers, and close above SMA. Toggleable Indicators: Allows users to enable/disable specific features (e.g., RSI, MACD, SMA cross signals) for a cleaner chart. Visual Enhancements: Highlights Golden Cross and Death Cross conditions with background colors. Uses plotshapes to mark key signals (e.g., overbought/oversold, MACD crossovers, close above SMA). How It Helps Traders Trend Identification: The combination of SMAs and EMAs helps identify long-term and short-term trends. Momentum Confirmation: RSI and MACD provide additional confirmation of momentum and potential reversals. Customizability: Traders can tailor the script to their preferences, focusing on the indicators and conditions most relevant to their strategy. Visual Alerts: Clear visual cues and alerts make it easier to spot trading opportunities in real-time. Ideal For Swing Traders: Identifying trend reversals and momentum shifts. Position Traders: Confirming long-term trends with Golden/Death Crosses. Day Traders: Using RSI and MACD for short-term entry/exit signals. This script is a powerful, all-in-one tool for traders looking to combine multiple technical indicators into a single, easy-to-use interface. Let me know if you need further assistance!
Pine Script® indicator
by WIDE_EYED_INVESTOR
1
Economic RegimeThis indicator, "Economic Regime" , provides a comprehensive analysis of market conditions by combining multiple asset classes and financial metrics. It uses normalized scores and trend analysis to classify the current economic regime into one of four categories: Goldilocks, Reflation, Inflation, or Deflation. The classification is based on inputs like S&P 500 performance, bond yields, commodity prices, volatility indices, and sector ETFs. Additionally, it plots key financial spreads, including the yield spread (10Y-2Y) and credit spread (HYG-LQD), to offer deeper insights into liquidity and market sentiment. The background color dynamically reflects the identified economic regime, facilitating quick visual interpretation.
Pine Script® indicator
by joseordep
AuriumFlowAURIUM (GOLD-Weighted Average with Fractal Dynamics) Aurium is a cutting-edge indicator that blends volume-weighted moving averages (VWMA), fractal geometry, and Fibonacci-inspired calculations to deliver a precise and holistic view of market trends. By dynamically adjusting to price and volume, Aurium uncovers key levels of confluence for trend reversals and continuations, making it a powerful tool for traders. Key Features: Dynamic Trendline (GOLD): The central trendline is a weighted moving average based on price and volume, tuned using Fibonacci-based fast (34) and slow (144) exponential moving average lengths. This ensures the trendline adapts seamlessly to the flow of market dynamics. Formula: GOLD = VWMA(34) * Volume Factor + VWMA(144) * (1 - Volume Factor) Fractal Highs and Lows: Detects pivotal market points using a fractal lookback period (default 5, odd-numbered). Fractals identify local highs and lows over a defined window, capturing the structure of market cycles. Trend Background Highlighting: Bullish Zone: Price above the GOLD line with a green background. Bearish Zone: Price below the GOLD line with a red background. Buy and Sell Alerts: Generates actionable signals when fractals align with GOLD. Bullish fractals confirm continuation or reversal in an uptrend, while bearish fractals validate a downtrend. The Math Behind Aurium: Volume-Weighted Adjustments: By integrating volume into the calculation, Aurium dynamically emphasizes price levels with greater participation, giving traders insight into zones of institutional interest. Formula: VWMA = EMA(Close * Volume) / EMA(Volume) Fractal Calculations: Fractals are identified as local maxima (highs) or minima (lows) based on the surrounding bars, leveraging the natural symmetry in price behavior. Fibonacci Relationships: The 34 and 144 EMA lengths are Fibonacci numbers, offering a natural alignment with price cycles and market rhythms. Ideal For: Traders seeking a precise and intuitive indicator for aligning with trends and detecting reversals. Strategies inspired by Bill Williams, with added volume and fractal-based insights. Short-term scalpers and long-term trend-followers alike. Unlock deeper market insights and trade with precision using Aurium!
Pine Script® indicator
by RyanLMartin
Combined Zero Lag EMA with Crosses | ASHGCombined Zero Lag EMA with Crosses This indicator combines the power of Zero Lag Exponential Moving Averages (EMAs) with the widely used Golden Cross and Death Cross signals. It provides an efficient and precise trend-following tool for traders. Key Features: Short and Long Zero Lag EMAs: The indicator uses two Zero Lag EMAs with customizable periods (Short and Long). The short EMA is typically more responsive to price changes, while the long EMA smooths out price data, providing a broader trend perspective. Golden Cross and Death Cross signals: The Golden Cross occurs when the short EMA crosses above the long EMA, indicating a potential bullish trend. The Death Cross occurs when the short EMA crosses below the long EMA, signaling a possible bearish trend. Combined Zero Lag EMA: The average of the Short and Long Zero Lag EMAs gives a balanced view of the market's overall direction. Plotting and Alerts: The indicator plots both the short and long Zero Lag EMAs, as well as the combined EMA, with visual cues for Golden and Death Crosses. Alerts can be set for when these crosses occur. Use this indicator for clearer entry and exit points, helping you stay ahead of market movements. This indicator is based on Kıvanç ÖZBİLGİÇ's "Zero Lag EMA v2" indicator. tr.tradingview.com Birleştirilmiş Zero Lag EMA ve Cross (Kesişim) Sinyalleri Bu gösterge, Zero Lag (Sıfır Gecikmeli) Üssel Hareketli Ortalamaların (EMA) gücünü, yaygın olarak kullanılan Golden Cross (Altın Kesişim) ve Death Cross (Ölüm Kesişimi) sinyalleriyle birleştirir. Yatırımcılar için verimli ve hassas bir trend takip aracıdır. Öne Çıkan Özellikler: Kısa ve Uzun Zero Lag EMA: Gösterge, özelleştirilebilir periyotlarla iki Zero Lag EMA kullanır (Kısa ve Uzun). Kısa EMA, fiyat değişimlerine daha hızlı tepki verirken, uzun EMA fiyat verilerini düzleştirerek daha geniş bir trend perspektifi sunar. Golden Cross ve Death Cross sinyalleri: Golden Cross, kısa EMA'nın uzun EMA'yı yukarı doğru kesmesiyle oluşur ve potansiyel bir yükseliş trendine işaret eder. Death Cross ise, kısa EMA'nın uzun EMA'yı aşağı doğru kesmesiyle oluşur ve düşüş trendi sinyali verir. Birleştirilmiş Zero Lag EMA: Kısa ve uzun Zero Lag EMA'larının ortalaması, piyasanın genel yönünü dengeli bir şekilde gösterir. Grafik ve Uyarılar: Gösterge, kısa ve uzun Zero Lag EMA'ları ile birleştirilmiş EMA'yı çizerek Golden Cross ve Death Cross sinyalleri için görsel uyarılar sağlar. Bu kesişimler gerçekleştiğinde alarm kurabilirsiniz. Bu göstergeleri kullanarak, piyasa hareketlerinden önce net giriş ve çıkış noktaları belirleyebilir, böylece daha bilinçli kararlar alabilirsiniz. Bu indikatör Kıvanç ÖZBİLGİÇ'in "Zero Lag EMA v2" indikatörünü temel alarak hazırlanmıştır. tr.tradingview.com
Pine Script® indicator
by ashakangok
Pulse DPO: Major Cycle Tops and Bottoms█  OVERVIEW Pulse DPO is an oscillator designed to highlight Major Cycle Tops and Bottoms . It works on any market driven by cycles. It operates by removing the short-term noise from the price action and focuses on the market's cyclical nature. This indicator uses a Normalized version of the Detrended Price Oscillator (DPO) on a 0-100 scale, making it easier to identify major tops and bottoms. Credit: The DPO was first developed by William Blau in 1991. █  HOW TO READ IT Pulse DPO oscillates in the range between 0 and 100. A value in the upper section signals an OverBought (OB) condition, while a value in the lower section signals an OverSold (OS) condition. Generally, the triggering of OB and OS conditions don't necessarily translate into swing tops and bottoms, but rather suggest caution on approaching a market that might be overextended. Nevertheless, this indicator has been customized to trigger the signal only during remarkable top and bottom events. I suggest using it on the Daily Time Frame , but you're free to experiment with this indicator on other time frames. The indicator has Built-in Alerts to signal the crossing of the Thresholds. Please don't act on an isolated signal, but rather integrate it to work in conjunction with the indicators present in your Trading Plan. █  OB SIGNAL ON: ENTERING OVERBOUGHT CONDITION When Pulse DPO crosses Above the Top Threshold it Triggers ON the OB signal. At this point the oscillator line shifts to OB color. When Pulse DPO enters the OB Zone, please beware! In this Area the Major Players usually become Active Sellers to the Public. While the OB signal is On, it might be wise to Consider Selling a portion or the whole Long Position. Please note that even though this indicator aims to focus on major tops and bottoms, a strong trending market might trigger the OB signal and stay with it for a long time. That's especially true on young markets and on bubble-mode markets. █  OB SIGNAL OFF: EXITING OVERBOUGHT CONDITION When Pulse DPO crosses Below the Top Threshold it Triggers OFF the OB signal. At this point the oscillator line shifts to its normal color. When Pulse DPO exits the OB Zone, please beware because a Major Top might just have occurred. In this Area the Major Players usually become Aggressive Sellers. They might wind up any remaining Long Positions and Open new Short Positions. This might be a good area to Open Shorts or to Close/Reverse any remaining Long Position. Whatever you choose to do, it's usually best to act quickly because the market is prone to enter into panic mode. █  OS SIGNAL ON: ENTERING OVERSOLD CONDITION When Pulse DPO crosses Below the Bottom Threshold it Triggers ON the OS signal. At this point the oscillator line shifts to OS color. When Pulse DPO enters the OS Zone, please beware because in this Area the Major Players usually become Active Buyers accumulating Long Positions from the desperate Public. While the OS signal is On, it might be wise to Consider becoming a Buyer or to implement a Dollar-Cost Averaging (DCA) Strategy to build a Long Position towards the next Cycle. In contrast to the tops, the OS state usually takes longer to resolve a major bottom. █  OS SIGNAL OFF: EXITING OVERSOLD CONDITION When Pulse DPO crosses Above the Bottom Threshold it Triggers OFF the OS signal. At this point the oscillator line shifts to its normal color. When Pulse DPO exits the OS Zone, please beware because a Major Bottom might already be in place. In this Area the Major Players become Aggresive Buyers. They might wind up any remaining Short Positions and Open new Long Positions. This might be a good area to Open Longs or to Close/Reverse any remaining Short Positions. █  WHY WOULD YOU BE INTERESTED IN THIS INDICATOR? This indicator is built over a solid foundation capable of signaling Major Cycle Tops and Bottoms across many markets. Let's see some examples: Early Bitcoin Years: From 0 to 1242 This chart is in logarithmic mode in order to properly display various exponential cycles. Pulse DPO is properly signaling the major early highs from 9-Jun-2011 at 31.50, to the next one on 9-Apr-2013 at 240 and the epic top from 29-Nov-2013 at 1242. Due to the massive price movements, the OB condition stays pinned during most of the exponential price action. But as you can see, the OB condition quickly vanishes once the Cycle Top has been reached. As the market matures, the OB condition becomes more exceptional and triggers much closer from the Cycle Top. With regards to Cycle Bottoms, the early bottom of 2 after having peaked at 31.50 doesn’t get captured by the indicator. That is the only cycle bottom that escapes the Pulse DPO when the bottom threshold is set at a value of 5. In that event, the oscillator low reached 6.95. Bitcoin Adoption Spreading: From 257 to 73k This chart is in logarithmic mode in order to properly display various exponential cycles. Pulse DPO is properly signaling all the major highs from 17-Dec-2017 at 19k, to the next one on 14-Apr-2021 at 64k and the most recent top from 9-Nov-2021 at 68k. During the massive run of 2017, the OB condition still stayed triggered for a few weeks on each swing top. But on the next cycles it started to signal only for a few days before each swing top actually happened. The OB condition during the last cycle top triggered only for 3 days. Therefore the signal grows in focus as the market matures. At the time of publishing this indicator, Bitcoin printed a new All Time High (ATH) on 13-Mar-2024 at 73k. That run didn’t trigger the OB condition. Therefore, if the indicator is correct the Bitcoin market still has some way to grow during the next months. With regards to Cycle Bottoms, the bottom of 3k after having peaked at19k got captured within the wide OS zone. The bottom of 15k after having peaked at 68k got captured too within the OS accumulation area. Gold Pulse DPO behaves surprisingly well on a long standing market such as Gold. Moving back to the 197x years it’s been signaling most Cycle Tops and Bottoms with precision. During the last cycle, it shows topping at 2k and bottoming at 1.6k. The current price action is signaling OB condition in the range of 2.5k to 2.7k. Looking at past cycles, it tends to trigger on and off at multiple swing tops until reaching the final cycle top. Therefore this might indicate the first wave within a potential gold run. Oil On the Oil market, we can see that most of the cycle tops and bottoms since the 80s got signaled. The only exception being the low from 2020 which didn’t trigger. EURUSD On Forex markets the Pulse DPO also behaves as expected. Looking back at EURUSD we can see the marketing triggering OB and OS conditions during major cycle tops and bottoms from recent times until the 80s. S&P 500 On the S&P 500 the Pulse DPO catched the lows from 2016 and 2020. Looking at present price action, the recent ATH didn’t trigger the OB condition. Therefore, the indicator is allowing room for another leg up during the next months. Amazon On the Amazon chart the Pulse DPO is mirroring pretty accurately the major swings. Scrolling back to the early 2000s, this chart resembles early exponential swings in the crypto space. Tesla Moving onto a younger tech stock, Pulse DPO captures pretty accurately the major tops and bottoms. The chart is shown in logarithmic scale to better display the magnitude of the moves. █  SETTINGS This indicator is ideal for identifying major market turning points while filtering out short-term noise. You are free to adjust the parameters to align with your preferred trading style. Parameters : This section allows you to customize any of the Parameters that shape the Oscillator. Oscillator Length: Defines the period for calculating the Oscillator. Offset: Shifts the oscillator calculation by a certain number of periods, which is typically half the Oscillator Length. Lookback Period: Specifies how many bars to look back to find tops and bottoms for normalization. Smoothing Length: Determines the length of the moving average used to smooth the oscillator. Thresholds : This section allows you to customize the Thresholds that trigger the OB and OS conditions. Top: Defines the value of the Top Threshold. Bottom: Defines the value of the Bottom Threshold.
Pine Script® indicator
by gliderfund
5
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI) Overview The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading styles—from scalping to swing trading. MATI 4-hourly support/resistance MATI 1-hourly support/resistance MATI 15 minutes support/resistance MATI 1 minutes support/resistance Key Features 1. Diverse Moving Averages - COVWMA (Coefficient of Variation Weighted Moving Average) : - Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping . - DEMA (Double Exponential Moving Average) : - Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions . - EMA (Exponential Moving Average) : - Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum. - KAMA (Kaufman's Adaptive Moving Average) : - Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies. - SMA (Simple Moving Average) : - Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods. - VIDYA (Variable Index Dynamic Average) : - Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends. 2. Combined Moving Average - The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes . 3. Dynamic Color Coding - Each moving average is visually represented with color coding: - Green indicates bullish conditions, while Red suggests bearish trends. - This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making. 4. Signal Generation and Alerts - The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trend—ideal for quick entries in scalping. - Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades. Insights and Applications 1. Scalping on 1-Minute Charts - The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations. 2. Day Trading on 4-Hour Charts - For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings. 3. Swing Trading on Daily Charts - The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility. Benefits 1. Clarity and Insight - The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes. 2. Flexibility and Customization - With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles. 3. Real-Time Alerts and Efficiency - Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style. Conclusion The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike. Important Note As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
Pine Script® indicator
by FibonacciFlux
Advanced Economic Indicator by USCG_VetAdvanced Economic Indicator by USCG_Vet tldr: This comprehensive TradingView indicator combines multiple economic and financial metrics into a single, customizable composite index. By integrating key indicators such as the yield spread, commodity ratios, stock indices, and the Federal Reserve's QE/QT activities, it provides a holistic view of the economic landscape. Users can adjust the components and their weights to tailor the indicator to their analysis, aiding in forecasting economic conditions and market trends. Detailed Description Overview The Advanced Economic Indicator is designed to provide traders and investors with a powerful tool to assess the overall economic environment. By aggregating a diverse set of economic indicators and financial market data into a single composite index, it helps identify potential turning points in the economy and financial markets. Key Features: Comprehensive Coverage: Includes 14 critical economic and financial indicators. Customizable Components: Users can select which indicators to include. Adjustable Weights: Assign weights to each component based on perceived significance. Visual Signals: Clear plotting with threshold lines and background highlights. Alerts: Set up alerts for when the composite index crosses user-defined thresholds. Included Indicators Yield Spread (10-Year Treasury Yield minus 3-Month Treasury Yield) Copper/Gold Ratio High Yield Spread (HYG/IEF Ratio) Stock Market Performance (S&P 500 Index - SPX) Bitcoin Performance (BLX) Crude Oil Prices (CL1!) Volatility Index (VIX) U.S. Dollar Index (DXY) Inflation Expectations (TIP ETF) Consumer Confidence (XLY ETF) Housing Market Index (XHB) Manufacturing PMI (XLI ETF) Unemployment Rate (Inverse SPY as Proxy) Federal Reserve QE/QT Activities (Fed Balance Sheet - WALCL) How to Use the Indicator Configuring the Indicator: Open Settings: Click on the gear icon (⚙️) next to the indicator's name. Inputs Tab: You'll find a list of all components with checkboxes and weight inputs. Including/Excluding Components Checkboxes: Check or uncheck the box next to each component to include or exclude it from the composite index. Default State: By default, all components are included. Adjusting Component Weights: Weight Inputs: Next to each component's checkbox is a weight input field. Default Weights: Pre-assigned based on economic significance but fully adjustable. Custom Weights: Enter your desired weight for each component to reflect your analysis. Threshold Settings: Bearish Threshold: Default is -1.0. Adjust to set the level below which the indicator signals potential economic downturns. Bullish Threshold: Default is 1.0. Adjust to set the level above which the indicator signals potential economic upswings. Setting the Timeframe: Weekly Timeframe Recommended: Due to the inclusion of the Fed's balance sheet data (updated weekly), it's best to use this indicator on a weekly chart. Changing Timeframe: Select 1W (weekly) from the timeframe options at the top of the chart. Interpreting the Indicator: Composite Index Line Plot: The blue line represents the composite economic indicator. Movement: Observe how the line moves relative to the threshold lines. Threshold Lines Zero Line (Gray Dotted): Indicates the neutral point. Bearish Threshold (Red Dashed): Crossing below suggests potential economic weakness. Bullish Threshold (Green Dashed): Crossing above suggests potential economic strength. Background Highlights Red Background: When the composite index is below the bearish threshold. Green Background: When the composite index is above the bullish threshold. No Color: When the composite index is between the thresholds. Understanding the Components 1. Yield Spread Description: The difference between the 10-year and 3-month U.S. Treasury yields. Economic Significance: An inverted yield curve (negative spread) has historically preceded recessions. 2. Copper/Gold Ratio Description: The price ratio of copper to gold. Economic Significance: Copper is tied to industrial demand; gold is a safe-haven asset. The ratio indicates risk sentiment. 3. High Yield Spread (HYG/IEF Ratio) Description: Ratio of high-yield corporate bonds (HYG) to intermediate-term Treasury bonds (IEF). Economic Significance: Reflects investor appetite for risk; widening spreads can signal credit stress. 4. Stock Market Performance (SPX) Description: S&P 500 Index levels. Economic Significance: Broad measure of U.S. equity market performance. 5. Bitcoin Performance (BLX) Description: Bitcoin Liquid Index price. Economic Significance: Represents risk appetite in speculative assets. 6. Crude Oil Prices (CL1!) Description: Front-month crude oil futures price. Economic Significance: Influences inflation and consumer spending. 7. Volatility Index (VIX) Description: Market's expectation of volatility (fear gauge). Economic Significance: High VIX indicates market uncertainty; inverted in the indicator to align directionally. 8. U.S. Dollar Index (DXY) Description: Value of the U.S. dollar relative to a basket of foreign currencies. Economic Significance: Affects international trade and commodity prices; inverted in the indicator. 9. Inflation Expectations (TIP ETF) Description: iShares TIPS Bond ETF prices. Economic Significance: Reflects market expectations of inflation. 10. Consumer Confidence (XLY ETF) Description: Consumer Discretionary Select Sector SPDR Fund prices. Economic Significance: Proxy for consumer confidence and spending. 11. Housing Market Index (XHB) Description: SPDR S&P Homebuilders ETF prices. Economic Significance: Indicator of the housing market's health. 12. Manufacturing PMI (XLI ETF) Description: Industrial Select Sector SPDR Fund prices. Economic Significance: Proxy for manufacturing activity. 13. Unemployment Rate (Inverse SPY as Proxy) Description: Inverse of the SPY ETF price. Economic Significance: Represents unemployment trends; higher inverse SPY suggests higher unemployment. 14. Federal Reserve QE/QT Activities (Fed Balance Sheet - WALCL) Description: Total assets held by the Federal Reserve. Economic Significance: Indicates liquidity injections (QE) or withdrawals (QT); impacts interest rates and asset prices. Customization and Advanced Usage Adjusting Weights: Purpose: Emphasize components you believe are more predictive or relevant. Method: Increase or decrease the weight value next to each component. Example: If you think the yield spread is particularly important, you might assign it a higher weight. Disclaimer This indicator is for educational and informational purposes only. It is not financial advice. Trading and investing involve risks, including possible loss of principal. Always conduct your own analysis and consult with a professional financial advisor before making investment decisions.
Pine Script® indicator
by USCG_Vet