Şimdi başlat

Göstergeler ve stratejiler

MACD Full [Titans_Invest]MACD Full — A Smarter, More Flexible MACD. Looking for a MACD with real customization power? We present one of the most complete public MACD indicators available on TradingView. It maintains the classic MACD structure but is enhanced with 20 fully customizable long entry conditions and 20 short entry conditions , giving you precise control over your strategy. Plus, it’s fully automation-ready, making it ideal for quantitative systems and algorithmic trading. Whether you're a discretionary trader or a bot developer, this tool is built to seamlessly adapt to your style. ⯁ WHAT IS THE MACD❓ The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram. ⯁ HOW TO USE THE MACD❓ The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line. Here are the primary signals generated by the MACD: Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal. Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal. Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal. Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI. ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________  •   Signal Validity: The signal will remain valid for X bars .  •   Signal Sequence: Configurable as AND or OR . 🔹 MACD > Signal Smoothing 🔹 MACD < Signal Smoothing 🔹 Histogram > 0 🔹 Histogram < 0 🔹 Histogram Positive 🔹 Histogram Negative 🔹 MACD > 0 🔹 MACD < 0 🔹 Signal > 0 🔹 Signal < 0 🔹 MACD > Histogram 🔹 MACD < Histogram 🔹 Signal > Histogram 🔹 Signal < Histogram 🔹 MACD (Crossover) Signal 🔹 MACD (Crossunder) Signal 🔹 MACD (Crossover) 0 🔹 MACD (Crossunder) 0 🔹 Signal (Crossover) 0 🔹 Signal (Crossunder) 0 ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________  •   Signal Validity: The signal will remain valid for X bars .  •   Signal Sequence: Configurable as AND or OR . 🔸 MACD > Signal Smoothing 🔸 MACD < Signal Smoothing 🔸 Histogram > 0 🔸 Histogram < 0 🔸 Histogram Positive 🔸 Histogram Negative 🔸 MACD > 0 🔸 MACD < 0 🔸 Signal > 0 🔸 Signal < 0 🔸 MACD > Histogram 🔸 MACD < Histogram 🔸 Signal > Histogram 🔸 Signal < Histogram 🔸 MACD (Crossover) Signal 🔸 MACD (Crossunder) Signal 🔸 MACD (Crossover) 0 🔸 MACD (Crossunder) 0 🔸 Signal (Crossover) 0 🔸 Signal (Crossunder) 0 ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : MACD Full 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script® göstergesi
Titans_Invest tarafından
9
Adaptive MACD Deluxe [AlgoAlpha]OVERVIEW This script is an advanced rework of the classic MACD indicator, designed to be more adaptive, visually informative, and customizable. It enhances the original MACD formula using a dynamic feedback loop and a correlation-based weighting system that adjusts in real-time based on how deterministic recent price action is. The signal line is flexible, offering several smoothing types including Heiken Ashi, while the histogram is color-coded with gradients to help users visually identify momentum shifts. It also includes optional normalization by volatility, allowing MACD values to be interpreted as relative percentage moves, making the indicator more consistent across different assets and timeframes. CONCEPTS This version of MACD introduces a deterministic weight based on R-squared correlation with time, which modulates how fast or slow the MACD adapts to price changes. Higher correlation means smoother, slower MACD responses, and low correlation leads to quicker reaction. The momentum calculation blends traditional EMA math with feedback and damping components to create a smoother, less noisy series. Heiken Ashi is optionally used for signal smoothing to better visualize short-term trend bias. When normalization is enabled, the MACD is scaled by an EMA of the high-low range, converting it into a bounded, volatility-relative indicator. This makes extreme readings more meaningful across markets. FEATURES The script offers six distinct options for signal line smoothing: EMA, SMA, SMMA (RMA), WMA, VWMA, and a custom Heiken Ashi mode based on the MACD series. Each option provides a different response speed and smoothing behavior, allowing traders to match the indicator’s behavior to their strategy—whether it's faster reaction or reduced noise. Normalization is another key feature. When enabled, MACD values are scaled by a volatility proxy, converting the indicator into a relative percentage. This helps standardize the MACD across different assets and timeframes, making overbought and oversold readings more consistent and easier to interpret. Threshold zones can be customized using upper and lower boundaries, with inner zones for early warnings. These zones are highlighted on the chart with subtle background fills and directional arrows when MACD enters or exits key levels. This makes it easier to spot strong or weak reversals at a glance. Lastly, the script includes multiple built-in alerts. Users can set alerts for MACD crossovers, histogram flips above or below zero, and MACD entries into strong or weak reversal zones. This allows for hands-free monitoring and quick decision-making without staring at the chart. USAGE To use this script, choose your preferred signal smoothing type, enable normalization if you want MACD values relative to volatility, and adjust the threshold zones to fit your asset or timeframe. Use the colored histogram to detect changes in momentum strength—brighter colors indicate rising strength, while faded colors imply weakening. Heiken Ashi mode smooths out noise and provides clearer signals, especially useful in choppy conditions. Use alert conditions for crossover and reversal detection, or monitor the arrow markers for entries into potential exhaustion zones. This setup works well for trend following, momentum trading, and reversal spotting across all market types.
Pine Script® göstergesi
AlgoAlpha tarafından
2
Math by Thomas Liquidity PoolDescription Math by Thomas Liquidity Pool is a TradingView indicator designed to visually identify potential liquidity pools on the chart by detecting areas where price forms clusters of equal highs or equal lows. Bullish Liquidity Pools (Green Boxes): Marked below price where two adjacent candles have similar lows within a specified difference, indicating potential demand zones or stop loss clusters below support. Bearish Liquidity Pools (Red Boxes): Marked above price where two adjacent candles have similar highs within the difference threshold, indicating potential supply zones or stop loss clusters above resistance. This tool helps traders spot areas where smart money might hunt stop losses or where price is likely to react, providing valuable insight for trade entries, exits, and risk management. Features: Adjustable box height (vertical range) in points. Adjustable maximum difference threshold between candle highs/lows to consider them equal. Boxes automatically extend forward for visibility and delete when price sweeps through or after a defined lifetime. Separate visual zones for bullish and bearish liquidity with customizable colors. How to Use Add the Indicator to your chart (preferably on instruments like Nifty where point-based thresholds are meaningful). Adjust Inputs: Box Height: Set the vertical size of the liquidity zones (default 15 points). Max Difference Between Highs/Lows: Set the max price difference to consider two candle highs or lows as “equal” (default 10 points). Box Lifetime: How many bars the box stays visible if not swept (default 120 bars). Interpret Boxes: Green Boxes (Bullish Liquidity Pools): Areas of potential demand and stop loss clusters below price. Watch for price bounces or accumulation near these zones. Red Boxes (Bearish Liquidity Pools): Areas of potential supply and stop loss clusters above price. Watch for price rejections or distribution near these zones. Trading Strategy Tips: Use these zones to anticipate where stop loss hunting or liquidity sweeps may occur. Combine with your Order Block, Fair Value Gap, and Market Structure tools for higher probability setups. Manage risk by avoiding entries into price regions just before large liquidity pools get swept. Automatic Cleanup: Boxes delete automatically once price breaks above (for bearish zones) or below (for bullish zones) the zone or after the set lifetime.
Pine Script® göstergesi
MathThomas tarafından
Liquidity Engulfing (Nephew_Sam_)🔥 Liquidity Engulfing Multi-Timeframe Detector This indicator finds engulfing bars which have swept liquidity from its previous candle. You can use it across 6 timeframes with fibonacci entries. ⚡ Key Features 6 Customizable Timeframes - Complete market structure analysis Smart Liquidity Detection - Finds patterns that sweep liquidity then reverse Real-Time Status Table - Confirmed vs unconfirmed patterns with color coding Fibonacci Integration - 5 customizable fib levels for precise entries HTF → LTF Strategy - Spot reversals on higher timeframes, enter on lower timeframe fibs 📈 Engulfing Rules Bullish: Current candle bullish + previous bearish + current low < previous low + current close > previous open Bearish: Current candle bearish + previous bullish + current high > previous high + current close < previous open
Pine Script® göstergesi
nephew_sam_ tarafından
Nifty Futures ATM Option Signal//@version=6 indicator('Nifty Futures ATM Option Signal', overlay = true) // === Input symbols === // You must update these to match the live ATM options of current expiry. niftyFutSymbol = input.symbol('NSE:NIFTY1!', 'Nifty Index Futures') atmCallSymbol = input.symbol('NSE:NIFTY250605C24750', 'ATM Call Option (Same Expiry)') atmPutSymbol = input.symbol('NSE:NIFTY250605P24750', 'ATM Put Option (Same Expiry)') // === Get OHLC values from 5-minute charts === niftyOpen = request.security(niftyFutSymbol, '5', open) niftyClose = request.security(niftyFutSymbol, '5', close) callOpen = request.security(atmCallSymbol, '5', open) callClose = request.security(atmCallSymbol, '5', close) putOpen = request.security(atmPutSymbol, '5', open) putClose = request.security(atmPutSymbol, '5', close) // === Candle directions === niftyRed = niftyClose < niftyOpen niftyGreen = niftyClose > niftyOpen callGreen = callClose > callOpen putGreen = putClose > putOpen // === Trading signals === buySignal = niftyRed and callGreen sellSignal = niftyGreen and putGreen // === Plot signals on chart === plotshape(buySignal, title = 'Buy Signal', location = location.belowbar, color = color.green, style = shape.triangleup, size = size.small) plotshape(sellSignal, title = 'Sell Signal', location = location.abovebar, color = color.red, style = shape.triangledown, size = size.small) bgcolor(buySignal ? color.new(color.green, 85) : na, title = 'Buy Background') bgcolor(sellSignal ? color.new(color.red, 85) : na, title = 'Sell Background')
Pine Script® göstergesi
Athiral tarafından
1
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® göstergesi
DskyzInvestments tarafından
4
SMEMA Trend CoreSMEMA Trend Core is a multi-timeframe trend analysis tool designed to provide a clean, adaptive and structured view of the market’s directional bias. It can be used in short term, swing or long term contexts. The internal calculation adjusts automatically based on the selected trading style, while always combining data from six timeframes. At its core, the indicator uses a SMEMA, which is a Simple Moving Average applied to an EMA. This combination improves smoothness without losing reactivity. The SMEMA is calculated separately on 1H, 4H, 1D, 3D, 1W and 1M timeframes. These six values are then combined using dynamic weights that depend on the trading mode: Short Term mode gives more influence to 1H and 4H Swing Trading mode gives more influence to 1D, 3D and 1W Long Term mode gives more influence to 1W and 1M However, all six timeframes are always included in the final result. This avoids the tunnel vision of relying on a single resolution and ensures that the indicator captures both local and structural movements. The result is a synthetic trend line, called Global SMEMA, that adapts to market conditions and offers a realistic view of the ongoing trend. To enhance the reading, the indicator calculates a Trend Score. This score reflects the position of price relative to the Global SMEMA, scaled by a long-term ATR, and adjusted by the slope of the trend line. A hyperbolic tangent function is used to normalize values and reduce distortion from outliers. The final score is capped between -10 and +10, and used to define the trend state: Green when the trend is bullish (score > +1.5) Red when the trend is bearish (score < -1.5) Brown when the trend is neutral (score between -1.5 and +1.5) Optional Deviation Bands can be displayed at ±1, ±2 and ±3 ATR distances around the central line. These dynamic zones help identify extended price movements or potential support and resistance areas, depending on the current trend bias. Main features: A single, stable trend line based on six timeframes Automatic rebalancing depending on trading mode Quantified score integrating distance and slope No overreaction to short-term noise Deviation zones for advanced market context No repainting, no lookahead, 100% real-time SMEMA Trend Core is not a signal tool. It is a directional framework that helps you stay aligned with the real structure of the market. Use it to confirm setups, filter trades or simply understand where the market stands in its trend cycle.
Pine Script® göstergesi
Julien_Eche tarafından
2
Auto-Trend Finder (Pivot + ADX)Inspired in part by LuxAlgo Trendlines with Breaks. Extended and enhanced for directional clarity and pivot-based precision. 🔍 What It Does The Auto-Trend Finder (Pivot + ADX) is a smart trend-detection toolkit that combines: Pivot-based swing detection (HH, HL, LH, LL) ADX-filtered trendline projections Custom slope estimation using ATR, Standard Deviation, Linear Regression, or a blended approach Candlestick pattern detection for added confirmation (e.g., hammer, engulfing, shooting star) 📈 How It Works 1. Swing Detection Uses ta.pivothigh / ta.pivotlow to mark major price turning points. Labels pivots as Higher High (HH), Lower High (LH), Lower Low (LL), or Higher Low (HL). Optionally overlays basic candle pattern names for visual context. 2. Trendline Logic Connects successive pivot highs/lows with real-time trendlines. Draws separate Uptrend and Downtrend lines with distinct colors. 3. Extended Projections Projects extended dashed lines from the last pivot using slope formulas: ATR-based (volatility) Stdev-based (dispersion) Linear Regression (trend best-fit) Or a Combined slope using user-defined weights. Color changes dynamically on breakout to visually signal momentum shifts. 4. ADX Trend Strength Filter Optional ADX filter disables trendline updates unless directional strength exceeds a threshold (e.g. 20+). Helps remove noise in sideways markets. ⚠️ Important Notes Backpainting Warning: This script includes a backpainting setting (backpaint) that may cause lines to appear "reliably predictive" in historical data. Backpainting does not repaint once the pivot is confirmed, but it still reflects a post-fact state. Use this feature cautiously in live trading decisions. Reused Code Attribution: Extended trendline concept and breakout color logic were inspired by publicly available open-source versions of LuxAlgo's trendline logic. Credit is given in the script comments and here as required. 🛠️ How to Use It Adjust Pivot Length for swing detection sensitivity. Toggle ADX filtering on or off to avoid choppy signals. Choose your preferred Slope Calculation Method. Use candlestick labels as potential entry signals near trendline retests or breaks. ✅ Why This Is More Than a Mashup This tool integrates several separate technical methods into one cohesive, customizable framework: It’s not just combining indicators, it’s engineering synergy between them. The slope and ADX filtering mechanics dynamically adjust to trend strength. Candlestick confirmation and labeling give visual, real-time trade confidence. It enhances open-source logic by adding modular slope options, ADX gating, pattern labeling, and user control. "Know the structure. Follow the strength. Trade with clarity. Auto-Trend Finder is your edge in the chaos."
Pine Script® göstergesi
herose4the tarafından
2
Breakout Entry Signals//@version=5 indicator("Breakout Entry Signals", overlay=true) length = input.int(20, title="Breakout Period") highestHigh = ta.highest(high, length) lowestLow = ta.lowest(low, length) longCondition = close > highestHigh shortCondition = close < lowestLow plotshape(longCondition, location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small) plotshape(shortCondition, location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
Pine Script® göstergesi
IzzyDuhName tarafından
AP Session Liquidity with EQH/EQL and Previous DayThis indicator plots key intraday session highs and lows, along with essential market structure levels, to help traders identify areas of interest, potential liquidity zones, and high-probability trade setups. It includes the Asia Session High and Low (typically 00:00–08:00 UTC), London Session High and Low (08:00–12:00 UTC), New York AM Session High and Low (12:00–15:00 UTC), and New York Lunch High and Low (15:00–17:00 UTC). Additionally, it displays the Previous Day’s High and Low for context on recent price action, as well as automatically detected Equal Highs and Lows based on configurable proximity settings to highlight potential liquidity pools or engineered price levels. These session levels are widely used by institutional traders and are critical for analyzing market behavior during time-based volatility windows. Traders can use this indicator to anticipate breakouts, fakeouts, and reversals around session boundaries—such as liquidity grabs at Asia highs/lows before the London or New York sessions—or to identify key consolidation and expansion zones. Equal Highs and Lows serve as magnets for price, offering insight into potential stop hunts or inducement zones. This tool is ideal for day traders, scalpers, and smart money concept practitioners, and includes full customization for session timings, color schemes, line styles, and alert conditions. Whether you're trading price action, ICT concepts, or supply and demand, this indicator provides a powerful framework for intraday analysis.
Pine Script® göstergesi
APTRADEZ tarafından
SuperTrend Adaptive (STD Smooth)Supertrend DeNoise (StdDev + Smoothing) is an advanced trend-following indicator designed to reduce false signals and market noise. This version enhances the classic Supertrend by incorporating standard deviation into the channel calculation and a smoothing factor, making the bands wider and more adaptive to volatility. The result is fewer whipsaws and clearer, more robust trend signals. Buy and sell labels appear only at the latest signal, keeping your chart uncluttered and focused. Ideal for traders seeking a cleaner trend indicator for any timeframe.
Pine Script® göstergesi
wrathwd tarafından
RSI + WaveTrend Sinyal Alarmı//@version=5 indicator("RSI + WaveTrend Sinyal Alarmı", overlay=true) // === RSI Divergence === len = input.int(9, "RSI Period") src = input.source(close, "RSI Source") lbR = input.int(3, "Pivot Lookback Right") lbL = input.int(1, "Pivot Lookback Left") osc = ta.rsi(src, len) plFound = not na(ta.pivotlow(osc, lbL, lbR)) phFound = not na(ta.pivothigh(osc, lbL, lbR)) oscHL = osc > ta.valuewhen(plFound, osc , 1) priceLL = low < ta.valuewhen(plFound, low , 1) bullCond = priceLL and oscHL and plFound oscLL = osc < ta.valuewhen(plFound, osc , 1) priceHL = low > ta.valuewhen(plFound, low , 1) hiddenBullCond = priceHL and oscLL and plFound oscLH = osc < ta.valuewhen(phFound, osc , 1) priceHH = high > ta.valuewhen(phFound, high , 1) bearCond = priceHH and oscLH and phFound oscHH = osc > ta.valuewhen(phFound, osc , 1) priceLH = high < ta.valuewhen(phFound, high , 1) hiddenBearCond = priceLH and oscHH and phFound rsiBuySignal = bullCond or hiddenBullCond rsiSellSignal = bearCond or hiddenBearCond // === WaveTrend === n1 = input.int(10, "WT Channel Length") n2 = input.int(21, "WT Average Length") ap = hlc3 esa = ta.ema(ap, n1) d = ta.ema(math.abs(ap - esa), n1) ci = (ap - esa) / (0.015 * d) tci = ta.ema(ci, n2) wt1 = tci wt2 = ta.sma(wt1, 4) wtCrossUp = ta.crossover(wt1, wt2) wtCrossDown = ta.crossunder(wt1, wt2) // === Ortak Sinyal Şartı === buySignal = wtCrossUp and rsiBuySignal sellSignal = wtCrossDown and rsiSellSignal plotshape(buySignal, style=shape.labelup, color=color.lime, text="AL", title="AL Sinyali") plotshape(sellSignal, style=shape.labeldown, color=color.red, text="SAT", title="SAT Sinyali") alertcondition(buySignal, title="AL Sinyali", message="RSI Divergence + WaveTrend AL sinyali oluştu!") alertcondition(sellSignal, title="SAT Sinyali", message="RSI Divergence + WaveTrend SAT sinyali oluştu!")
Pine Script® göstergesi
akinfx tarafından
Bands Vision-XBands Vision-X (BB-Vision-X) – Full Description Description: Bands Vision-X is an indicator based on dynamic bands constructed from customizable moving averages and standard deviation, allowing you to visualize potential support and resistance zones, volatility, and market conditions. It uses an adjustable moving average (with multiple options such as SMA, EMA, WMA, JMA, LSMA, DEMA, and TEMA) to define the central line, and upper and lower bands calculated by standard deviation multiplied by an adjustable factor. The bands are smoothed by a Hull Moving Average (HMA) to reduce noise and improve clarity. How to Use The bands indicate potential support and resistance levels. The central line serves as a dynamic price reference. The distance between bands reflects market volatility. Touches or breakouts of the bands may signal entry or exit opportunities. Parameters Parameter Description Default Standard Error Band Period Period for moving average and standard deviation 20 Moving Average Type Type of moving average (SMA, EMA, etc.) SMA Standard Deviation Multiplier Multiplier for standard deviation 2.0 Band Lines Smoothing Period Period for smoothing the bands (HMA) 5 Technical Notes The JMA function used is not the original Jurik version but an approximate and open implementation based on publicly available TradingView community code. Developed in Pine Script v6 with optimized and clean code. Recommendations Ideal for traders seeking a clear view of volatility and dynamic support/resistance levels. Should not be used in isolation; it is recommended to combine with volume analysis, price action, or other technical indicators. Adjust the period and multiplier according to the asset and timeframe for better effectiveness.
Pine Script® göstergesi
Canhoto-Medium tarafından
1
Andean Pulse Oscillator [APO] Andean Pulse Oscillator (APO) The Andean Pulse Oscillator (APO) is a momentum-based technical indicator designed to detect early shifts in bullish and bearish pressure using adaptive exponential envelopes. Inspired by the original Andean Oscillator concept, this upgraded version maintains the spirit of the tool while improving clarity, responsiveness, and usability. 🧠 Key Features: Two core components: 🔹 Bullish Component (green) – Measures strength of downward volatility (bullish momentum). 🔻 Bearish Component (red) – Measures strength of upward volatility (bearish momentum). A Signal Line (orange) smooths the dominant component to help filter out noise. Background shading provides at-a-glance trend bias: green for bullish dominance, red for bearish. Optional Buy/Sell Signal Arrows when bullish and bearish lines cross. ⚙️ Inputs: Length – Controls smoothing sensitivity of the envelope-based momentum calculation. Signal Length – Controls smoothing of the dominant component (signal line). Show Buy/Sell Signals – Toggle crossover arrows on or off. 🔍 Usage Tips: Look for bullish crossovers (green crosses above red) below the zero-line during corrections for potential long setups. Look for bearish crossunders (red crosses above green) near tops for potential short setups. Can be combined with price structure, trend filters, or divergence analysis for added confirmation. 👨‍🎨 Credit: Originally conceptualized by @Andean, the APO version enhances it with modern visuals, cleaner signals, and modular structure — a tribute to a powerful and underutilized oscillator.
Pine Script® göstergesi
olast1211 tarafından
Euclidean Range [InvestorUnknown]The Euclidean Range indicator visualizes price deviation from a moving average using a geometric concept Euclidean distance. It helps traders identify trend strength, volatility shifts, and potential overextensions in price behavior. Euclidean Distance Euclidean distance is a fundamental concept in geometry and machine learning. It measures the "straight-line distance" between two points in space. In time series analysis, it can be used to measure how far one sequence deviates from another over a fixed window. euclidean_distance(src, ref, len) => var float sum_sq_diff = na sum_sq_diff := 0.0 for i = 0 to len - 1 diff = src - ref sum_sq_diff += diff * diff math.sqrt(sum_sq_diff) In this script, we calculate the Euclidean distance between the price (source) and a smoothed average (reference) over a user-defined window. This gives us a single scalar that reflects the overall divergence between price and trend. How It Works Moving Average Calculation: You can choose between SMA, EMA, or HMA as your reference line. This becomes the "baseline" against which the actual price is compared. Distance Band Construction: The Euclidean distance between the price and the reference is calculated over the Window Length. This value is then added to and subtracted from the average to form dynamic upper and lower bands, visually framing the range of deviation. Distance Ratios and Z-Scores: Two distance ratios are computed: dist_r = distance / price (sensitivity to volatility); dist_v = price / distance (sensitivity to compression or low-volatility states) Both ratios are normalized using a Z-score to standardize their behavior and allow for easier interpretation across different assets and timeframes. Z-Score Plots: Z_r (white line) highlights instances of high volatility or strong price deviation; Z_v (red line) highlights low volatility or compressed price ranges. Background Highlighting (Optional): When Z_v is dominant and increasing, the background is colored using a gradient. This signals a possible build-up in low volatility, which may precede a breakout. Use Cases Detect volatile expansions and calm compression zones. Identify mean reversion setups when price returns to the average. Anticipate breakout conditions by observing rising Z_v values. Use dynamic distance bands as adaptive support/resistance zones. Notes The indicator is best used with liquid assets and medium-to-long windows. Background coloring helps visually filter for squeeze setups. Disclaimer This indicator is provided for speculative analysis and educational purposes only. It is not financial advice. Always backtest and evaluate in a simulated environment before live trading.
Pine Script® göstergesi
InvestorUnknown tarafından
DWMY Opens (for aggr. charts) by Koenigsegg🟣 DWMY Opens (for Aggregated Charts) by Koenigsegg Revolutionary compatibility with aggregated charts – This indicator represents a significant breakthrough in displaying Daily, Weekly, Monthly, and Yearly opening levels on aggregated chart types where traditional DWMY indicators have historically failed to function properly. Complete aggregated chart support – Unlike previous Daily Weekly Monthly Yearly Opens indicators that experienced severe limitations when pulling data from non-standard chart types, this version is specifically engineered to work flawlessly with aggregated charts, range bars, Renko charts, Point & Figure charts, and all other non-time-based chart constructions. Persistent horizontal reference lines – The indicator draws four distinct horizontal lines representing the opening prices of the current Daily, Weekly, Monthly, and Yearly periods, extending these levels forward into future bars to provide clear reference points for key support and resistance analysis. Advanced customization capabilities – Features comprehensive user controls including custom label naming for each timeframe, adjustable line colors with independent color selection for Daily, Weekly, Monthly, and Yearly levels, configurable line width settings, and variable label font sizes ranging from tiny to huge. Dynamic label positioning system – Implements a sophisticated label placement mechanism with configurable tick offset positioning and fixed end-bars-ahead projection, ensuring labels remain visible and properly positioned regardless of chart zoom level or timeframe. Intelligent period detection logic – Utilizes advanced Pine Script time change detection algorithms specifically optimized for aggregated charts, accurately identifying new Daily, Weekly, Monthly, and Yearly periods even when traditional time-based functions fail on non-standard chart types. Performance-optimized architecture – Built with efficient persistent variable storage using the var keyword, minimizing computational overhead while maintaining real-time updates across all timeframe levels simultaneously. Professional visual presentation – Delivers clean, uncluttered chart visualization with strategically positioned labels that clearly identify each timeframe level without interfering with price action analysis. Universal market compatibility – Functions seamlessly across all asset classes including stocks, forex, cryptocurrencies, commodities, and indices, adapting automatically to different tick sizes and price scales through syminfo.mintick integration. Pine Script v6 foundation – Leverages the latest Pine Script version 6 capabilities, ensuring optimal performance, stability, and compatibility with current and future TradingView platform updates. This indicator solves a critical limitation that has long plagued traders using aggregated chart types, finally enabling reliable access to essential Daily, Weekly, Monthly, and Yearly opening levels that serve as fundamental support and resistance zones in technical analysis. The breakthrough lies in its ability to maintain accurate period detection and level plotting regardless of the underlying chart construction methodology. 🟣 How It Works Automatic period detection – The indicator continuously monitors for time changes across four distinct timeframes using ta.change(time()) functions for Daily and Weekly periods, month transitions for Monthly levels, and year changes for Yearly opens, ensuring precise identification of new period beginnings. Real-time level updates – When a new period is detected, the indicator captures the opening price at that exact moment and immediately establishes a horizontal line from that bar extending forward to a configurable number of bars ahead, creating persistent reference levels. Dynamic line management – Each timeframe maintains its own dedicated line object and label, with the indicator continuously updating the endpoint coordinates and label positions as new bars form, ensuring the levels always project the specified distance into the future. Intelligent label placement – Labels are positioned at the end of each line with automatic vertical offset based on the symbol’s minimum tick size, preventing overlap with price action while maintaining clear identification of each timeframe level. 🟣 Pro Tips for Optimal Usage Multi-timeframe confluence – Look for areas where multiple DWMY levels converge within close proximity, as these zones typically act as stronger support or resistance levels due to increased market participant attention at these psychological price points. Breakout confirmation strategy – When price breaks above or below a significant DWMY level with strong volume, the broken level often transforms into support (if broken upward) or resistance (if broken downward), providing excellent entry and exit reference points. Range trading opportunities – On ranging markets, use Daily and Weekly opens as potential reversal zones, especially when price approaches these levels during low-volume periods or near session opens when institutional activity increases. Timeframe alignment technique – For swing trading, prioritize trades that align with the direction of the break from Weekly or Monthly opens, while using Daily opens for precise entry timing and position management. Chart type optimization – This indicator excels on Renko, Range, and Point & Figure charts where traditional time-based DWMY indicators fail, making it invaluable for traders who prefer these aggregated chart types for cleaner price action analysis. Important Disclaimer: This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance does not guarantee future results. Please conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author is not responsible for any losses incurred from using this indicator.
Pine Script® göstergesi
CryptoPandaTA tarafından
AlphaFlow: Oscillator PanelAlphaFlow: Oscillator Panel The AlphaFlow: Oscillator Panel indicator is a versatile multi-tool designed to provide a comprehensive view of momentum, volatility, and trend strength across different timeframes. This script combines several popular technical analysis tools into a single dashboard for faster decision-making. Key Features: WaveTrend Oscillator (WT1 and WT2): Tracks price momentum to help identify potential reversals or trend continuations. RSI and BBWP : Measures relative strength and volatility compression/expansion. VWAP-MACD and OBV : Includes volume-based momentum insights and higher timeframe confirmations. Multi-Timeframe Confluence : Highlights if various oscillators align across multiple timeframes. Dynamic Table : A dashboard that updates in real time, providing numeric values and playful narratives for easier reading. Configurable Text Size : Customize the table’s text size for better visibility. Anchor, Trigger, Snake Eye Labels : These markers appear when WT1 crosses significant thresholds: Anchor (A): Marks a potential base or bottoming signal. Trigger (T): Confirms a potential momentum reversal. Snake Eyes: Indicates particularly strong or rare reversal conditions. How to Use: Load the indicator on your chart. Adjust input parameters like RSI length, BBWP length, CMF length, and others to suit your market and timeframe. Use the Decision Table: It updates automatically on the latest bar to show oscillator readings, trend state, and multi-timeframe confluence. Monitor for alignment: Bullish or bearish signals are highlighted when all components agree. Look for Anchor, Trigger, Snake Eye labels: These help identify key turning points. Combine with your trading strategy: This indicator is a decision-support tool and should be used with other forms of analysis and risk management. Important: This script does not provide financial advice. It’s a technical analysis tool designed to aid traders in decision-making and should be used at your own risk.
Pine Script® göstergesi
renderingnature1 tarafından
1
aiQ - 10min Crypto Pro - v2aiQ - 10min Crypto Pro - v2 Professional-grade indicator specifically designed for 10-minute binary options trading on cryptocurrency pairs. Uses a 6-point confluence scoring system combining RSI divergences, VWMA trend ribbon, dynamic support/resistance, volume analysis, and momentum filters to identify high-probability CALL/PUT entries. Key Features: Two-tier signal system: ★ for premium setups (70% win rate), standard for regular trades (60% win rate) Built-in money management calculator showing exact position sizing Session filter highlights optimal trading hours (default: 08:00-22:00 UTC) Real-time dashboard displays signal strength, trend, RSI, volume conditions Automatic filtering of low-volume periods to avoid manipulation zones Optimized for Speed: All parameters fine-tuned for 10-minute expiry times - faster RSI (9), responsive VWMA ribbon (3/8/13), and quick divergence detection. Includes alerts for both signal tiers. Best Use: Wait for ★ signals with 4+ confluence score during active session hours. Never trade during "DRY" volume conditions. Position size based on 2% risk per trade (adjustable). Note: This indicator provides signals only - actual binary options execution must be done through your broker platform.
Pine Script® göstergesi
proquanta tarafından