เริ่มกันเลย

ค้นหาในสคริปต์สำหรับ "ai"

ichimoku signalsAdvanced Trading System with Multi-Filter Confirmation A sophisticated Ichimoku-based trading indicator that combines traditional Ichimoku Kinko Hyo analysis with modern technical filters to generate high-probability BUY and SELL signals. KEY FEATURES: 🎯 Smart Signal Generation BUY signals only when price is above bullish cloud AND Tenkan/Kijun are above cloud SELL signals only when price is below bearish cloud AND Tenkan/Kijun are below cloud Delayed TK Cross option: signals can trigger when all conditions align AFTER the cross (1-50 bars lookback) Anti-repetition system: minimum 30 bars between consecutive signals 📊 Multi-Layer Confirmation Filters (All Optional) MACD Filter: Confirms trend direction with histogram Volume Filter: Ensures signals occur on above-average volume (customizable multiplier) RSI Filter: Avoids overbought/oversold extremes VWAP Filter: Confirms price position relative to institutional levels Cloud Thickness Filter: Minimum cloud thickness % to ensure trend strength 🎨 Visual Elements Complete Ichimoku Cloud system (Tenkan, Kijun, Senkou A/B, Chikou) Fair Value Gap (FVG) detection with customizable extension Inside Bar pattern highlighting (optional) Clear BUY/SELL shapes and labels Real-time dashboard showing all indicator states ⚙️ Fully Customizable All Ichimoku parameters adjustable Enable/disable each filter independently Customize all colors and visual elements Configurable alert conditions HOW IT WORKS: For a BUY signal, ALL active conditions must be met: Price above cloud Cloud is bullish (green) TK Cross occurred (current or within lookback period) Chikou Span above price Tenkan AND Kijun both above cloud (prevents premature entries) Optional filters: MACD bullish, high volume, RSI in range, price above VWAP SELL signals follow inverse logic. IDEAL FOR: Swing traders seeking high-quality setups Traders who want strict multi-confirmation entries Ichimoku enthusiasts looking for enhanced filtering Anyone seeking to reduce false signals ALERTS INCLUDED: "Ichimoku BUY" alert "Ichimoku SELL" alert Note: This indicator is designed for educational purposes. Always backtest thoroughly and use proper risk management. Past performance does not guarantee future results. ********************** Ichimoku Signal V6.1 - Sistema di Trading Avanzato con Conferma Multi-Filtro Un sofisticato indicatore basato su Ichimoku Kinko Hyo che combina l'analisi tradizionale Ichimoku con filtri tecnici moderni per generare segnali BUY e SELL ad alta probabilità. CARATTERISTICHE PRINCIPALI: 🎯 Generazione Segnali Intelligenti Segnali BUY solo quando il prezzo è sopra la nuvola rialzista E Tenkan/Kijun sono sopra la nuvola Segnali SELL solo quando il prezzo è sotto la nuvola ribassista E Tenkan/Kijun sono sotto la nuvola Opzione TK Cross ritardato: i segnali si attivano quando tutte le condizioni si allineano DOPO l'incrocio (lookback 1-50 barre) Sistema anti-ripetizione: minimo 30 barre tra segnali consecutivi 📊 Filtri di Conferma Multi-Livello (Tutti Opzionali) Filtro MACD: Conferma la direzione del trend con istogramma Filtro Volume: Assicura segnali su volume sopra la media (moltiplicatore personalizzabile) Filtro RSI: Evita estremi di ipercomprato/ipervenduto Filtro VWAP: Conferma la posizione del prezzo rispetto ai livelli istituzionali Filtro Spessore Cloud: Spessore minimo % della nuvola per garantire forza del trend 🎨 Elementi Visivi Sistema completo Ichimoku Cloud (Tenkan, Kijun, Senkou A/B, Chikou) Rilevamento Fair Value Gap (FVG) con estensione personalizzabile Evidenziazione pattern Inside Bar (opzionale) Forme e etichette BUY/SELL chiare Dashboard in tempo reale che mostra tutti gli stati dell'indicatore ⚙️ Completamente Personalizzabile Tutti i parametri Ichimoku regolabili Attiva/disattiva ogni filtro indipendentemente Personalizza tutti i colori e gli elementi visivi Condizioni di alert configurabili COME FUNZIONA: Per un segnale BUY, TUTTE le condizioni attive devono essere soddisfatte: Prezzo sopra la nuvola Nuvola rialzista (verde) TK Cross avvenuto (corrente o entro il periodo di lookback) Chikou Span sopra il prezzo Tenkan E Kijun entrambi sopra la nuvola (previene entrate premature) Filtri opzionali: MACD rialzista, volume alto, RSI nel range, prezzo sopra VWAP I segnali SELL seguono la logica inversa. IDEALE PER: Swing trader in cerca di setup di alta qualità Trader che desiderano entrate con conferma multipla rigorosa Appassionati di Ichimoku alla ricerca di filtraggio avanzato Chiunque cerchi di ridurre i falsi segnali ALERT INCLUSI: Alert "Ichimoku BUY" Alert "Ichimoku SELL" Nota: Questo indicatore è progettato per scopi educativi. Effettua sempre un backtest accurato e utilizza una gestione del rischio appropriata. Le performance passate non garantiscono risultati futuri.
อินดิเคเตอร์ Pine Script®
โดย unodeitanti0
stelaraX - Order BlocksstelaraX – Order Blocks stelaraX – Order Blocks is a price-structure indicator designed to highlight potential institutional supply and demand zones based on impulse behavior. It detects the last opposing candle before a strong directional move and marks that candle range as an Order Block zone for future reaction or mitigation. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The script identifies bullish and bearish order blocks by searching for an initiating candle followed by a configurable sequence of strong continuation candles. Key principles: * bullish order blocks are detected as the last bearish candle before a strong upward impulse * bearish order blocks are detected as the last bullish candle before a strong downward impulse * impulse strength is defined by a user-set number of consecutive candles (“strength”) * continuation candles must close beyond the initiating candle’s key level * when detected, a box is drawn using the initiating candle’s high/low range * zones extend forward for contextual tracking and potential retests This logic is intended to capture simple, rule-based demand and supply zones from price action structure. Visualization The script plots: * colored order block boxes directly on the price chart * separate colors for bullish and bearish order blocks * forward extension of each zone for retest monitoring * “OB” labels at the originating candle location * alert conditions for bullish and bearish order block detection This creates a clean SMC-style overlay to visualize potential reaction areas. Use case This indicator is intended for: * mapping demand and supply zones from impulse structure * identifying potential mitigation and retracement levels * supporting Smart Money Concepts (SMC) workflows * structuring entries near defined order block ranges * combining with market structure, liquidity, and imbalance tools It works best as a contextual tool and should be combined with confirmation logic and risk management. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
Sigma Distance From Moving AverageThis is an indicator I've wanted to build for a while. The advent of AI and vibe coding circa 2026 made it feasible. This is an iteration of the previous indicator I shared - % distance from moving average - which, as explained in the self-described title, displays the % distance an asset's current price sits above or below whatever moving average you enter on whatever timeframe you choose. This new version expresses this distance as a z score rather than a %. The high level is we're going one level deeper - knowing how far an asset's current price is from its moving average is interesting, but what's more interesting is knowing how often this asset reaches this level above/below its moving average. Some assets are volatile, others less so. For something that moves a lot, being 15-20% above its 50 day moving average isn't all that rare. For something that doesn't move a lot, that might be a once in a ten thousand occurrence - we want to be able to quantify this. That's what this one does. Enjoy!
อินดิเคเตอร์ Pine Script®
โดย dkncrypto
Volume - Pattern Intelligence [DAFE]Volume Pattern Intelligence : The Ultimate VSA & Market Structure Engine This is not a volume indicator. This is an X-Ray into the market's auction, powered by the Wick Pressure Kernel, the DAFE Visuals Library, and a multi-resolution pattern intelligence core. It is the ultimate tool for trading the cause, not the effect. █ CHAPTER 1: THE PHILOSOPHY - BEYOND VOLUME BARS, INTO THE APEX Traditional volume analysis is a conversation with a ghost. It shows you a simple bar representing the total activity, but it tells you nothing of the battle that took place within it. Was that high volume a sign of aggressive buying breaking out, or was it the desperate final gasp of a trend being absorbed by a wall of institutional limit orders? A simple volume bar cannot answer. The Volume Pattern Intelligence engine was engineered to be the definitive answer. It is a complete, institutional-grade analytical framework built upon a revolutionary principle: that every significant market move, every trend, and every reversal is preceded by a "Volume Apex"—a critical moment of confluence where Price Spread, Volume Intensity, and Order Flow Delta align to signal the true intent of the market's largest players. This is not a single indicator, but a powerful fusion of DAFE's most advanced library systems. It leverages the DAFEWickPressureKernel to dissect the physics of every candle and the DafeVisualsLib to render this complex data into stunning, intuitive art. The result is a multi-resolution pattern intelligence engine that allows you to see the market not as a series of random price bars, but as a structured, cause-and-effect auction process. █ CHAPTER 2: THE DUAL-LIBRARY CORE - A FUSION OF GENIUSES The unparalleled power of Volume Pattern Intelligence comes from its unique architecture. It is the first indicator of its kind to be built upon two separate, specialized DAFE libraries, creating a system that is far greater than the sum of its parts. ENGINE #1: The DAFEWickPressureKernel (The "Why") This is the analytical brain. Instead of just looking at volume, this library acts as an integrated physics and machine learning engine to reconstruct the "invisible auction" inside every candle. It provides the deep, contextual data that standard indicators miss: Delta Physics: The WPK calculates the Estimated Institutional Delta for every bar. It analyzes the geometry of the wicks versus the body to estimate whether the volume was aggressive (market orders) or passive (limit orders), revealing the true net buying or selling pressure. Siege Analysis: It tracks the structural integrity of key price levels with a "Siege Decay" score. It understands that a support level tested once is strong, but a level tested five times is weak and likely to break. Kinetic Force: It calculates the true "impact" of a candle by multiplying its relative volume by its relative range, quantifying the physical force of the move. Anomaly Scoring: It uses Z-Score normalization to identify statistically rare events, flagging candles that represent significant institutional intervention. By importing the WPK, this indicator moves beyond simple VSA and into the realm of quantitative, physics-based market analysis. ENGINE #2: The DafeVisualsLib (The "How") This is the artistic soul. Raw data is useless if it's not intuitive. This library takes the complex, multi-dimensional output from the WPK and the core engine and transforms it into stunning, actionable art. Intelligent Analysis: Before drawing anything, the analyze() function scans the data to understand its nature. Auto-Configuration: The auto_config() function then acts as an AI artist. It automatically selects the optimal color gradients, applies physics-based "Neon Glow" effects whose intensity is tied to market volatility, and adapts the plot style and line width for maximum clarity. Revolutionary Rendering: It provides access to a suite of 14+ animated visualization modes , allowing you to see the volume data as a "Kernel Fusion," a "Siege Architecture," a "Nebula Plasma," or a "Neural Flux," among others. █ CHAPTER 3: THE PATTERN TAXONOMY - DECODING THE APEX The Volume Pattern Intelligence engine is a master of pattern recognition. It doesn't just show you volume; it classifies it, giving you a clear narrative of the market's story. 🔴 Climax (Stopping Volume): An extreme volume spike (>2.0 Sigma) coupled with a large rejection wick. This is the "transfer of ownership." At a top, it's smart money selling into retail FOMO. At a bottom, it's smart money absorbing retail panic. Action: Expect a reversal or significant pause. 🏦 Absorption (The Iceberg): High volume on a very small price range. This is the signature of a massive, hidden wall of limit orders absorbing all aggressive market orders. Price is trying to move but is being held in place by an invisible force. Action: Fade the attempted move. A failed breakout from an absorption zone is a high-probability reversal signal. 💨 Dry-Up (No Supply/Demand): A sequence of bars with volume significantly below average. This indicates a lack of interest and participation. It signifies that a trend or pullback is running out of fuel. Action: Use this as confirmation for an entry. A pullback to a support level on dry-up volume is a classic, high-probability long setup. ⚡ Thrust (Initiation): A large-bodied candle that breaks a range on high volume, following a period of low-volume consolidation. This is the signature of smart money initiating a new trend after a period of accumulation or distribution. Action: Join the move. This is a powerful trend-following signal. 🔄 Divergence: When price makes a new high but volume makes a lower high, it shows that the trend is losing participation and is built on a weak foundation. The WPK's delta calculation provides an even more powerful divergence signal. █ CHAPTER 4: A MULTI-RESOLUTION VIEW OF THE BATTLEFIELD Volume analysis on a single timeframe is short-sighted. This engine provides a complete, multi-resolution view of the market's auction. The HTF (Higher Timeframe) Analysis: The engine can analyze volume patterns on a higher timeframe (e.g., Daily) and overlay that intelligence onto your current chart. An HTF background tint gives you an immediate sense of the macro volume regime. A "Climax Top" pattern on the Daily chart that appears on your 15-minute screen is a critical, high-level warning that the macro trend may be reversing. The LTF (Lower Timeframe) Analysis: This is the high-fidelity microstructure engine. By requesting intrabar data from a lower timeframe (e.g., 1-minute data on a 5-minute chart), the WPK can reconstruct the order flow with incredible precision, calculating an Aggregated Delta that is far superior to any single-timeframe estimation. This allows you to see the outcome of the battle inside the current candle before it even closes. The MTF Confluence Bar: This brilliant little display at the bottom of the volume overlay synthesizes the directional bias of all three timeframes (LTF, Chart, HTF) into a single, easy-to-read verdict. When all three are aligned (e.g., +3 Bullish), it signals a state of powerful trend coherence across all resolutions. █ CHAPTER 5: A VISUAL GUIDE - DECODING THE DISPLAYS THE ON-CHART VOLUME OVERLAY This is a revolutionary concept. Instead of cluttering the bottom of your screen, the engine renders its analysis as a stunning, semi-transparent overlay at the bottom of your main price chart. This allows you to see volume context without ever taking your eye off the candles. The visualization is controlled by the DafeVisualsLib and features multiple modes: Kernel Fusion: A multi-layered bar. The base layer represents raw volume, a green/red tint shows the estimated Delta, and a glowing purple top layer highlights the Kinetic Force of the bar. Siege Architecture: Visualizes the "Siege Decay" score from the WPK. Strong, healthy levels appear as solid pillars. Weak, frequently tested levels appear cracked and fractured, signaling a potential break. Neural Flux: A probabilistic visualization from the WPK's learning engine, showing the confidence of the pattern recognition system. And many more... Each of the 14+ modes provides a unique lens through which to view the underlying physics of volume and pressure. SMART ZONES & PATTERN LABELS Smart Zones: The indicator automatically draws powerful Supply and Demand zones on your chart. These are not based on simple price pivots. They are generated only when a high-confidence Volume Apex pattern (like a Climax or Absorption) leads to a reversal, marking that price level as an institutionally defended "fortress." Pattern Labels: The engine automatically plots and tracks all detected patterns in a memory bank. Each pattern is displayed as a clean, floating label within its zone, showing the pattern type (e.g., "HTF CLIMAX") and its decaying confidence score over time. THE DASHBOARD Core Readout: Get an instant view of the current Volume Regime, the Siege Decay of the current level, and a confluence score of active patterns. Extended Metrics: Toggle a detailed view for the professional quant, showing the raw values for Relative Volume, Estimated Delta, MTF Confluence, and the Kinetic Force score from the WPK. █ DEVELOPMENT PHILOSOPHY Volume Pattern Intelligence is the culmination of the DAFE philosophy: that to truly understand the market, you must understand the auction. By synergizing our most advanced libraries—the DAFEWickPressureKernel for physics-based analysis and the DafeVisualsLib for intelligent rendering—we have created a tool that goes beyond VSA. It is a comprehensive framework for quantifying, visualizing, and trading the unseen forces of institutional order flow. It is for the trader who seeks to move from reacting to price to anticipating it. █ DISCLAIMER AND BEST PRACTICES THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence on volume and order flow, not financial advice. It is a decision-support tool. RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The zones and patterns are based on historical data and statistical probability, not guarantees. LTF IS KEY: For the most precise delta calculations, set your Lower Timeframe (LTF) appropriately. For a 15-minute chart, use 1m or 3m. For a 1-Hour chart, use 5m. USE CONFLUENCE: The highest probability signals come from confluence. A "Climax Bottom" pattern on your chart that occurs within an HTF Demand Zone and shows a bullish MTF Confluence score is an A++ setup. Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
อินดิเคเตอร์ Pine Script®
โดย DskyzInvestments
2
WarrIA Chart Patterns AnalyzerWarrIA Chart Patterns Analyzer Complementary indicator of the WarrIA PRO Ecosystem. Detection system that identifies and measures, in real time, chart and candlestick patterns with the highest win rates for the cryptocurrency market, based on metrics from specialized literature. --- ⚙️ How It Works The WarrIA Chart Patterns Analyzer applies statistical methodologies outlined in specialized literature to identify and measure chart and candlestick patterns with greater precision and win rate for the cryptocurrency market. The system provides: ✦ Real-time identification of high-probability chart patterns ✦ Real-time identification of high-probability candlestick patterns ✦ Statistical win rate data per pattern based on specialized literature ✦ Pattern measurement and validation using academically grounded metrics ✦ Complementary confirmation layer for setups detected by the WarrIA PRO Trade System and WarrIA Oracle. Designed to bridge the gap between academic pattern analysis and practical crypto trading application. --- 💎 Part of the WarrIA PRO Ecosystem WarrIA Chart Patterns Analyzer is one of 4 proprietary technologies in the WarrIA PRO Ecosystem: ✦ WarrIA PRO Institutional-Grade Trade System - Core multidimensional trading platform integrating WarrIA Score System (7 dimensions), WarrIA Shield System (6 filters + 12 anti-trap metrics), WarrIA WSI Detection System, and WarrIA Institutional Risk Control System (WFO Panel + Risk Limits Panel). ✦ WarrIA Oracle - Predictive probability system for ongoing trades. ✦ WarrIA Smart Money Narratives Autopilot - Real-time detection of direction and strength of Smart Money activity. ✦ WarrIA Chart Patterns Analyzer - Statistical system for detecting chart and candlestick patterns.(this indicator). --- 🔐 Registered and Protected Intellectual Properties INPI Brazil: BR512026000273-7 INPI Brazil: BR512026000286-9 U.S. Copyright: 1-15078649821 --- 🧠 Access the WarrIA PRO Ecosystem Free Trial, plans, personalized onboarding (100% guided by our AI Specialist), and full details: warria.io --- ⚠️ Risk Disclaimer Past performance does not guarantee future results. All metrics shown are based on historical backtesting with specific parameters for demonstration purposes only. This is an educational tool designed for knowledge and know-how transfer, not financial advice. Users are solely responsible for their own investment decisions. Never risk capital you cannot afford to lose. @ 2025 WarrIA PRO | All Rights Reserved | warria.io
อินดิเคเตอร์ Pine Script®
โดย marcus_loureiro
WarrIA Smart Money Narratives AutopilotWarrIA Smart Money Narratives Autopilot Complementary indicator of the WarrIA PRO Ecosystem. Real-time detection system that analyzes the direction and intensity of movements by institutional and large investors (smart money), with simultaneous visualization for up to 16 assets. --- ⚙️ How It Works The WarrIA Smart Money Narratives Autopilot functions as a real-time multi-asset monitor. The system serves as an integrated cockpit aimed at detecting in real time the direction and intensity of movements of institutional and large investors (smart money), with simultaneous visualization of up to 16 assets. The system provides: ✦ Real-time detection of the direction and intensity of whale and institutional activity (core players in the crypto market). ✦ Simultaneous visualization of strategic data for up to 16 assets. ✦ WSI Score analysis per asset (Whale/Smart Money/Institutional scoring) ✦ Z-Score methodology for institutional flow measurement ✦ WSI Trap detection and divergence alerts ✦ Trend Regime and Market Phase identification per asset Designed to provide retail traders with visibility into institutional-level flow dynamics that are typically invisible to standard retail tools. --- 💎 Part of the WarrIA PRO Ecosystem WarrIA Smart Money Narratives Autopilot is one of 4 proprietary technologies in the WarrIA PRO Ecosystem: ✦ WarrIA PRO Institutional-Grade Trade System - Core multidimensional trading platform integrating WarrIA Score System (7 dimensions), WarrIA Shield System (6 filters + 12 anti-trap metrics), WarrIA WSI Detection System, and WarrIA Institutional Risk Control System (WFO Panel + Risk Limits Panel). ✦ WarrIA Oracle - Predictive probability system for ongoing trades. ✦ WarrIA Smart Money Narratives Autopilot - Smart Money flow detection autopilot (this indicator). ✦ WarrIA Chart Patterns Analyzer - Chart and candlestick pattern identification based on specialized literature metrics (Bulkowski). --- 🔐 Registered and Protected Intellectual Properties INPI Brazil: BR512026000273-7 INPI Brazil: BR512026000286-9 U.S. Copyright: 1-15078649821 --- 🧠 Access the WarrIA PRO Ecosystem Free Trial, plans, personalized onboarding (100% guided by AI Specialist), and full details: warria.io --- ⚠️ Risk Disclaimer Past performance does not guarantee future results. All metrics shown are based on historical backtesting with specific parameters for demonstration purposes only. This is an educational tool designed for knowledge and know-how transfer, not financial advice. Users are solely responsible for their own investment decisions. Never risk capital you cannot afford to lose. @ 2025 WarrIA PRO | All Rights Reserved | warria.io
อินดิเคเตอร์ Pine Script®
โดย marcus_loureiro
WarrIA Oracle - Predictive Probability SystemWarrIA Oracle - Predictive Probability System Complementary indicator of the WarrIA PRO Ecosystem. Advanced statistical system that analyzes similarity patterns and calculates the probability of success or loss for ongoing trades in real time. --- ⚙️ How It Works WarrIA Oracle uses historical pattern matching to evaluate the current open trade against a database of past trades executed by the WarrIA PRO Trade System. The system identifies statistically similar setups based on multiple dimensions and provides: ✦ Probability of success/loss for the current open position ✦ Statistical similarity scoring against historical trades ✦ Real-time predictive analysis that updates as market conditions evolve ✦ Complementary layer of confidence for trade management decisions WarrIA Oracle is designed to work in conjunction with the WarrIA PRO Institutional-Grade Trade System, providing an additional decision-support layer for position management. --- 💎 Part of the WarrIA PRO Ecosystem WarrIA Oracle is one of 4 proprietary technologies in the WarrIA PRO Ecosystem: ✦ WarrIA PRO Institutional-Grade Trade System - Core multidimensional trading platform integrating WarrIA Score System (7 dimensions), WarrIA Shield System (6 filters + 12 anti-trap metrics), WarrIA WSI Detection System, and WarrIA Institutional Risk Control System (WFO Panel + Risk Limits Panel). ✦ WarrIA Oracle - Predictive probability system for ongoing trades (this indicator). ✦ WarrIA Smart Money Narratives Autopilot - Real-time detection of direction and strength of Whale and Institutional movements. ✦ WarrIA Chart Patterns Analyzer - Chart and candlestick pattern identification based on specialized literature metrics (Bulkowski). --- 📊 Historical Backtesting Results (Internal Pre-Operational Audit) The following metrics are based on historical backtesting of the WarrIA PRO portfolio and do not guarantee future results: Total Trades Analyzed: 3,706 Average Win Rate: 97.83% Total Portfolio Return: +1,003.62% These results reflect backtesting conditions with specific parameters for demonstration purposes. Real trading results may differ significantly. --- 🔐 Registered and Protected Intellectual Properties INPI Brazil: BR512026000273-7 INPI Brazil: BR512026000286-9 U.S. Copyright: 1-15078649821 --- 🧠 Access the WarrIA PRO Ecosystem Free Trial, plans, personalized onboarding (100% guided by our AI Specialist), and full details: warria.io --- ⚠️ Risk Disclaimer Past performance does not guarantee future results. All metrics shown are based on historical backtesting with specific parameters for demonstration purposes only. This is an educational tool designed for knowledge and know-how transfer, not financial advice. Users are solely responsible for their own investment decisions. Never risk capital you cannot afford to lose. @ 2025 WarrIA PRO | All Rights Reserved | warria.io
กลยุทธ์ Pine Script®
โดย marcus_loureiro
WarrIA PRO - Institutional-Grade Trade SystemWarrIA PRO - Institutional-Grade Trade System Institutional-grade multidimensional trading platform for the cryptocurrency market. Part of the WarrIA PRO Ecosystem - an algorithmic trading ecosystem designed to provide retail traders with institutional-level tools historically restricted to major market players. --- ⚙️ Proprietary Architecture The WarrIA PRO Institutional-Grade Trade System integrates 4 proprietary sub-systems into a single multidimensional platform: ✦ WarrIA Score System - Exclusive multidimensional scoring architecture. 7 integrated high-impact dimensions for real-time setup detection and validation: On-Chain, WSI Detection (Whale/Smart Money/Institutional), Market Structure and Profile, Money Flow Confluence, and other institutional-grade metrics. ✦ WarrIA Shield System - Protective architecture performing double-check validation of setups. 6 interdisciplinary filters composed of institutional-grade multidisciplinary metrics plus 12 institutional anti-trap metrics. Any single fail blocks the signal entirely. ✦ WarrIA WSI Detection System - Exclusive detection system. Identifies and measures, in real time, the direction and strength of activities from the Core Actors of the crypto market (Whales, Institutions, and Smart Money). Includes interactive WSI Activity Panel with consolidated scores, Z-Scores by actor, Status/Action/Method tracking, WSI Traps detection, and WSI Imbalance analysis. ✦ WarrIA Institutional Risk Control System - Robust statistical architecture composed of: - WFO Panel (Walk-Forward Optimization): Results segmented by month, quarter, and year. Integrated Advanced Risk Metrics: VaR, CVaR, Monte Carlo Simulation, Sharpe/Sortino/Calmar Ratios, and Kelly Criterion for Position Sizing. - Institutional Risk Limits Panel: Customizable cockpit for strict control of daily, weekly, monthly, and total (max DD) portfolio risk limits. Automatic system halt upon threshold breach. --- 💎 WarrIA PRO Ecosystem - Complementary Technologies The Trade System is the core platform of a broader ecosystem that also includes 3 complementary proprietary technologies (exclusive to PRO subscribers): ✦ WarrIA Oracle - Advanced statistical similarity analysis plus probability of success/loss for ongoing trades. ✦ WarrIA Smart Money Narratives Autopilot - Real-time detection of direction and strength of Whale and Institutional movements across the full portfolio. ✦ WarrIA Chart Patterns Analyzer - Identification and measurement of chart and candlestick patterns based on specialized literature metrics (Bulkowski). --- 📊 Historical Backtesting Results (Internal Pre-Operational Audit) The following metrics are based on historical backtesting and do not guarantee future results: Total Trades Analyzed: 3,706 Average Win Rate: 97.83% Total Portfolio Return: +1,003.62% Audit Parameters: Base Capital $20k (USD) | Risk Per Trade: 15% (BTC: 20%) These results reflect backtesting conditions with specific parameters for demonstration purposes. Real trading results may differ significantly. --- 🔐 Registered and Protected Intellectual Properties INPI Brazil: BR512026000273-7 INPI Brazil: BR512026000286-9 U.S. Copyright: 1-15078649821 --- 🧠 Access the WarrIA PRO Ecosystem Free Trial, plans, personalized onboarding (100% guided by our AI Specialist), and full details: warria.io --- ⚠️ Risk Disclaimer Past performance does not guarantee future results. All metrics shown are based on historical backtesting with specific parameters for demonstration purposes only. This is an educational tool designed for knowledge and know-how transfer, not financial advice. Users are solely responsible for their own investment decisions. Never risk capital you cannot afford to lose. @ 2026 WarrIA PRO | All Rights Reserved | warria.io
กลยุทธ์ Pine Script®
โดย marcus_loureiro
ALGOSYS Multi Session Range Directional (IST)🚀 ALGOSYS Multi-Session Range Directional (IST) Trade session breakouts with structure, not guesswork. This indicator identifies institutional accumulation ranges across key global and Indian market sessions and projects clear directional trade zones, targets, and risk levels after each session ends. 🌍 Sessions Covered (IST) Tokyo India London New York AM New York PM Each session automatically plots its high–low range and labels it on the chart. 🎯 What You Get 🔵 Smart entry zone 🟢 Directional targets 🟠 Risk / invalidation levels ⬆️⬇️ Clear buy & sell arrows Non-repainting. Rule-based. Algo-ready. ⚙️ Fully Customizable Edit session names, timings, and projection length directly from settings. Works best for intraday index trading (NIFTY / BANKNIFTY / FINNIFTY). ⭐ Built for Traders Who Value Structure If you trade liquidity, timing, and probability, this tool belongs on your chart. For educational purposes only. Not investment advice.
อินดิเคเตอร์ Pine Script®
โดย TD_Algosys
StatMap [Pro]+ |Algo Matrix|█ OVERVIEW The StatMap + AC Dynamics represents the evolution of statistical range mapping. While the Basic version maps static volatility variance, the + edition integrates a second-order derivative engine: the AC (Average Candle) Dynamics model. This tool combines the macro-view of the StatMap Volatility Grid (Manipulation vs. Distribution) with the micro-view of the "Market Heartbeat"—a dynamic calculation of the average expansion capability of the current asset. It answers not only "Where is the statistical limit?" but also "Does the current auction have the energy to reach it?" █ KEY FEATURES AC (Average Candle) Dynamics Engine : This is the core upgrade. The AC Engine continuously samples recent price action (using a hybrid Short/Long lookback algorithm) to determine the "True Average Range" of the asset. The Valve (Box): Projects the baseline average body size. If price is contained within this valve, the market is compressing. The Spread (Lines): Projects expansion thresholds (33%, 50%, 66%) based on the Average Candle's capability. These act as immediate "Launchpad" or "Failure" points for intraday volatility. Dynamic Volatility Injection (DVI) : Unlike static grids, this tool uses a "Smart Injection" system. It records historical volatility for every specific time-bucket of the day. Heatmap Projection: The indicator paints the active zone based on historical activity. If the current time is historically high-volatility, the zone glows Hot (Red/Orange). If low volatility, it cools (Blue). Future Casting: It projects this volatility profile forward, allowing you to visually see when the next liquidity injection is statistically likely to occur. Active State Machine : The grid is alive. It utilizes a logic-gate system that automatically shifts focus based on price location: State 0 (M1): Focus is on the immediate manipulation zone. State 1 (M2): If M1 breaks, the logic shifts to the secondary variance level. State 2 (D): Upon expansion, the focus shifts entirely to the Distribution limit. Time Sector Division : Advanced temporal analysis that slices the trading session into harmonic divisions (Div 3, 4, 6, or 9). This filters "Time vs. Price" effectiveness, highlighting sectors where the algorithm successfully "tapped" a StatMap level or "broke" structure. Smart Visual Intelligence : Includes an AI-like contrast management system that detects your chart theme (Light or Dark) and auto-adjusts the opacity and luminance of all levels to ensure maximum visibility with zero eye strain. █ HOW TO USE The AC Valve Entry : Use the inner "AC Box" (The Valve) to time your entries. A candle close outside the AC Valve often signals that the "Average Volatility" has been exceeded, leading to an expansion toward the outer StatMap zones. Volatility Alignment : Before executing a trade at a Manipulation (M) level, check the Dynamic Volatility Color . If price hits M1 but the volatility projection is "Cold" (Low Vol), the probability of a successful reversal is lower. If price hits M1 and the zone is "Hot" (High Vol), the algorithm confirms that sufficient energy exists for a true move. Sector Confluence : Enable Div 4 or Div 6 sectors. If a vertical time sector line aligns with a StatMap horizontal level, this "Crosshair" represents a high-probability institutional turning point. █ DISCLAIMER This tool utilizes advanced statistical modeling for educational analysis. Past volatility performance is not indicative of future results. Trade responsibly. By |Algo Matrix|
อินดิเคเตอร์ Pine Script®
โดย NetNine
Combined Ribbon & ImbalanceDescription: Combined Ribbon Trend & Volume Footprint Imbalance This advanced TradingView Pine Script (v6) combines two powerful trading methodologies—Trend Following (MA Ribbon) and Order Flow (Volume Footprint)—into a single, cohesive strategy. The script is designed to eliminate market noise by ensuring that signals only trigger when trend momentum and aggressive buying/selling imbalances align. Key Features: AI-Adaptive MA Ribbon: A dynamic ribbon that can automatically adjust its length, step, and count based on higher timeframe volatility (ATR) and trend strength (ADX). Filtered Volume Imbalance Zones: Detects "stacked imbalances" where aggressive market participants are entering. Unlike standard indicators, these zones are trend-filtered: Buy Imbalances only appear when the Ribbon is Bullish. Sell Imbalances only appear when the Ribbon is Bearish. Dynamic Trendline Zones: Includes an optional filter for Wick-based Support and Resistance zones. It extends these lines until they are "mitigated" (broken) by a candle body. High-Confluence Signals: "BUY" and "SELL" labels are only plotted when a Ribbon Flip occurs simultaneously with a Volume Imbalance on the same bar. Customizable Order Flow: Includes CVD (Cumulative Volume Delta) divergence logic, closing strength filters, and wick location filters to ensure you only see the most high-probability imbalances. How to Use: Green Ribbon + Buy Imbalance: Look for Long opportunities. Red Ribbon + Sell Imbalance: Look for Short opportunities. Grey Zones: Market is in a "Chop Zone"—exercise caution. ⚠️ Disclaimer Use at your own risk. This indicator is for informational and educational purposes only. Past performance does not guarantee future results. Trading involves significant risk, and you should never invest more than you can afford to lose. 🚀 Access the Script Interested in trying the Combined Ribbon & Imbalance indicator? Send me a DM to get a FREE TRIAL!
อินดิเคเตอร์ Pine Script®
โดย Awesome_Trader_666
9
Polynomial Regression Clustering [LuxAlgo]The Polynomial Regression Clustering indicator utilizes K-Means clustering to categorize historical price data into discrete levels and fits polynomial regression curves to each identified cluster. This tool allows traders to visualize non-linear trends within specific price regimes, providing a unique perspective on support, resistance, and price momentum. 🔶 USAGE The indicator identifies "K" number of clusters based on the vertical distribution of price over a user-defined lookback period. Each cluster represents a group of bars that share similar price levels, and a polynomial regression line is calculated to represent the localized trend for that specific group. 🔹 Cluster Identification The script groups price action into color-coded dots. By default, it uses the HL2 (Average price) to determine which cluster a bar belongs to. This is particularly useful for identifying historical value areas where price has spent a significant amount of time. 🔹 Polynomial Fitting Unlike standard linear regression, which produces a straight line, the polynomial regression curves can bend to fit the data more accurately. A Polynomial Degree of 1 will result in a standard linear regression (straight lines). A Polynomial Degree of 2 or higher allows for curves that capture parabolic moves or cyclical swings within each cluster. 🔹 Future Projections The current active cluster (the one containing the most recent price point) can be projected into the future. This allows you to see where the localized trend for the current price regime is heading based on the mathematical fit of historical data. 🔶 DETAILS 🔹 K-Means Algorithm The script uses an iterative K-Means algorithm to find the optimal centroids (center points) for the price levels. It calculates the distance of each price point to the nearest centroid and refines the centroid position until the clusters are stable or the maximum iterations are reached. 🔹 Regression Logic Once price points are assigned to a cluster, the script solves for the coefficients of a polynomial equation that minimizes the distance between the line and the cluster's data points. To ensure numerical stability with higher degrees, the horizontal (time) axis is normalized before performing matrix operations. 🔶 SETTINGS 🔹 K-Means Number of Clusters (K): Defines how many price levels the indicator should look for. Higher values create more granular levels. Lookback Period: The number of recent bars used to perform the clustering and regression calculation. Max Iterations: The maximum number of refinement steps for the K-Means algorithm. 🔹 Regression Polynomial Degree: Controls the "bend" of the regression lines. Higher degrees allow for more complex curves. Extend All Fits to Current Bar: When enabled, the regression lines for all historical clusters are extended to the rightmost edge of the chart. Project Current Cluster into Future: Extends the current regime's regression line into the future (empty space) using a dashed line. 🔹 Visual Style Show Regression Lines: Toggles the visibility of the polynomial curves. Show Cluster Dots: Toggles the visibility of the colored dots on each price bar. Dot Size: Adjusts the size of the cluster dots. Cluster Colors: Customizable colors for each of the identified clusters.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
3
stelaraX - DPOstelaraX – DPO stelaraX – Detrended Price Oscillator (DPO) is a cycle-based indicator designed to remove long-term trend components from price action. By isolating short- to medium-term price cycles, it helps traders focus on market rhythm and cyclical turning points rather than overall trend direction. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The Detrended Price Oscillator subtracts a displaced simple moving average from the current price. This displacement shifts the moving average back in time, effectively removing the dominant trend component. Key principles: * the lookback period defines the dominant cycle length * the moving average is shifted backward by half the period plus one * values above zero indicate price above the detrended mean * values below zero indicate price below the detrended mean * oscillations highlight cyclical highs and lows The DPO is not designed to follow trends but to analyze price cycles and mean reversion behavior. Visualization The script plots: * the DPO line in a separate indicator pane * green coloring when values are above zero * red coloring when values are below zero * a zero reference line for cycle symmetry This presentation makes cyclical expansions and contractions clearly visible. Use case This indicator is intended for: * identifying cyclical market highs and lows * timing entries and exits in ranging markets * analyzing mean reversion behavior * confirming cycle-based divergences * supporting non-trend-following and oscillation strategies It works best when used independently from trend indicators or alongside regime filters. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
Clusters Volume Profile [LuxAlgo]The Clusters Volume Profile indicator utilizes K-Means clustering to categorize historical price action into distinct groups and generates individual volume profiles for each detected cluster. This tool provides a unique perspective on volume distribution by isolating price behaviors based on proximity rather than strictly chronological order. 🔶 USAGE The indicator identifies "clusters" of price activity within a user-defined lookback period. Each cluster is assigned a unique color and its own horizontal volume profile, allowing traders to see where liquidity is most concentrated within specific price regimes. 🔹 Identifying Institutional Zones Traders can use the Point of Control (POC) of high-volume clusters to identify significant institutional interest. Because the K-Means algorithm groups price action by density rather than time, a cluster's POC often represents a "fair value" level where significant exchange occurred. These dashed POC lines frequently act as robust support or resistance levels when price returns to them in the future. 🔹 Market Regime Detection By observing the vertical distribution and overlap of clusters, traders can identify market phases. Overlapping clusters with high volume often indicate accumulation or distribution phases (sideways markets), whereas distinct, vertically separated clusters with lower volume gaps between them suggest a trending environment. A shift from multiple overlapping clusters to a new, isolated cluster can signal a breakout or the start of a new trend. 🔹 Precision Entry & Exits Cluster boundaries and POC lines provide concrete levels for trade management. An entry can be sought when price retests a high-volume cluster POC, while stops can be placed outside the total price range of that specific cluster (the area covered by its volume profile). Conversely, targets can be set at the POC of the next major cluster above or below current price action. 🔹 Volume Conviction The tool provides specific volume metrics that allow traders to gauge conviction. By comparing the "Total" volume label of one cluster against another, a trader can determine which price regime had more participation. A breakout into a price zone with a high-volume cluster suggests stronger conviction and a higher probability of the level holding compared to a zone with low total volume. 🔶 DETAILS The script employs a K-Means clustering algorithm. This process involves: Initializing "centroids" across the price range of the lookback period. Iteratively assigning each price bar to the nearest centroid based on the HLC2 (median) price. Recalculating centroids based on the volume-weighted average price of the assigned bars. Finalizing assignments after the specified number of iterations to ensure stable clusters. By separating price action into these clusters, the tool helps identify high-interest zones that might be obscured by a single, traditional Volume Profile. 🔶 SETTINGS 🔹 Clustering Settings Lookback Period: Determines the number of recent bars used for the clustering analysis. Number of Clusters: Sets how many distinct price groups the algorithm should attempt to find (2 to 10). K-Means Iterations: Controls the number of times the algorithm refines the cluster centers. Higher values can lead to more stable results. 🔹 Volume Profile Settings Rows per Cluster VP: Defines the vertical resolution (number of bins) for each individual cluster's profile. Max VP Width (Bars): Sets the maximum horizontal length of the volume profile histograms. VP Offset: Adjusts the horizontal spacing between the current bar and the start of the volume profiles. Highlight Price Dots: Toggles the visibility of the colored dots on the price action to identify cluster assignments. Dot Size: Adjusts the size of the cluster assignment dots on the chart, ranging from tiny to huge.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
5
Deep AILibrary "Deeptest" Comprehensive quantitative backtesting library with 112+ metrics: Sharpe/Sortino ratios, drawdown analysis, Monte Carlo simulation, Walk-Forward Analysis, VaR/CVaR, benchmark comparison, and interactive table rendering for TradingView strategies @version 1.0.1 (01.01.2026) ============================================================================ CHANGELOG ============================================================================ v1.0.1 (01.01.2026) - Added textSize parameter to runDeeptest() for controlling table text size - New values: size.auto, size.small, size.tiny, size.normal, size.large - Applies to all tables: main, stress test, drawdowns, recoveries, trades v1.0.0 (31.12.2025) - Initial release - 112+ backtesting metrics - Monte Carlo simulation and Walk-Forward Analysis - Interactive table rendering with tooltips ============================================================================ TABLE OF CONTENTS ============================================================================ SECTION 1: File Header & Metadata SECTION 2: Constants & Configuration SECTION 3: Type Definitions SECTION 4: Core Calculation Functions - Array Utilities SECTION 5: Core Calculation Functions - Return Extraction SECTION 6: Core Calculation Functions - Sharpe & Sortino SECTION 7: Core Calculation Functions - Performance Metrics SECTION 8: Core Calculation Functions - Drawdown Analysis SECTION 9: Core Calculation Functions - Recovery Analysis SECTION 10: Core Calculation Functions - Trade Analysis SECTION 11: Core Calculation Functions - Statistical Distribution SECTION 12: Core Calculation Functions - Risk Metrics SECTION 13: Core Calculation Functions - Benchmark Comparison SECTION 14: Core Calculation Functions - Time-Based Metrics SECTION 15: Core Calculation Functions - Rolling Statistics SECTION 16: Core Calculation Functions - Strategy Integration SECTION 17: Core Calculation Functions - Walk Forward Analysis SECTION 18: Core Calculation Functions - Monte Carlo Simulation SECTION 19: Core Calculation Functions - Out-of-Sample Analysis SECTION 20: Formatting Utilities - Value Formatting SECTION 21: Formatting Utilities - Duration Formatting SECTION 22: Formatting Utilities - Frequency Formatting SECTION 23: Formatting Utilities - Date Formatting SECTION 24: Tooltip Builders - Main Table Metrics SECTION 25: Tooltip Builders - Complementary Metrics SECTION 26: Tooltip Builders - Stress Test Metrics SECTION 27: Tooltip Builders - Period Analysis Cards SECTION 28: Table Rendering - Structure Helpers SECTION 29: Table Rendering - Main Deeptest Table SECTION 30: Table Rendering - Cell Renderers - Complementary Row SECTION 31: Table Rendering - Stress Test Table SECTION 32: Table Rendering - Period Analysis Cards SECTION 33: Main Entry Point ============================================================================ API REFERENCE ============================================================================ Main Export: ------------ runDeeptest() - Complete backtest analysis orchestrator ============================================================================ KEY FEATURES ============================================================================ - Comprehensive backtesting metrics (112+ functions) - Rolling window analysis with statistical distributions - Advanced risk metrics (Sharpe, Sortino, Calmar, Martin, VaR, CVaR) - Drawdown and recovery analysis - Monte Carlo simulation and Walk-Forward Analysis - Trade analysis (top/worst trades, consecutive streaks) - Benchmark comparison (Alpha, Beta, R², Buy & Hold) - Interactive table rendering with tooltips ============================================================================ USAGE EXAMPLE ============================================================================ ╔══════════════════════════════════════════════════════════════════════════════╗ ║ PROGRESSIVE USAGE EXAMPLES ║ ╠══════════════════════════════════════════════════════════════════════════════╣ ║ Three examples demonstrating increasing complexity: ║ ║ 1. MINIMAL - "Hello World" with basic MA crossover ║ ║ 2. BALANCED - Production ready with risk management & filters ║ ║ 3. PROFESSIONAL - Full-featured with trailing stops & session filters ║ ╚══════════════════════════════════════════════════════════════════════════════╝ ╔══════════════════════════════════════════════════════════════════════════════╗ ║ EXAMPLE 1: MINIMAL (The "Hello World") ║ ╠══════════════════════════════════════════════════════════════════════════════╣ ║ The simplest possible integration - just 3 lines to get started: ║ ║ 1. Import the library ║ ║ 2. Write your strategy logic ║ ║ 3. Call runDeeptest() ║ ╚══════════════════════════════════════════════════════════════════════════════╝ //@version=6 strategy("MA Crossover ", overlay=true) // ═══════════════════════════════════════════════════════════════════════════ // ⮟ Import Deeptest (Direct import - no namespace prefix needed) // ═══════════════════════════════════════════════════════════════════════════ import Fractalyst/Deeptest/1 as * // ──────────────────────────────────────────────────────────────────────────── // Strategy Logic: Simple Moving Average Crossover // ──────────────────────────────────────────────────────────────────────────── fastMA = ta.sma(close, 10) // Fast MA: 10 periods slowMA = ta.sma(close, 30) // Slow MA: 30 periods // Plot MAs for visualization plot(fastMA, "Fast MA", color=color.blue) plot(slowMA, "Slow MA", color=color.orange) // Entry: Long when fast MA crosses above slow MA if ta.crossover(fastMA, slowMA) strategy.entry("Long", strategy.long) // Exit: Close when fast MA crosses below slow MA if ta.crossunder(fastMA, slowMA) strategy.close("Long") // ═══════════════════════════════════════════════════════════════════════════ // ⮟ Run backtest analysis (all parameters use smart defaults) // ═══════════════════════════════════════════════════════════════════════════ DT.runDeeptest() ╔══════════════════════════════════════════════════════════════════════════════╗ ║ EXAMPLE 2: BALANCED (Production Ready) ║ ╠══════════════════════════════════════════════════════════════════════════════╣ ║ Adds essential production features: ║ ║ • User-configurable inputs ║ ║ • ADX trend filter to avoid choppy markets ║ ║ • Stop loss / Take profit for risk management ║ ║ • Custom backtest parameters ║ ╚══════════════════════════════════════════════════════════════════════════════╝ //@version=6 strategy("MA Crossover ", overlay=true) import Fractalyst/Deeptest/1 as * // ──────────────────────────────────────────────────────────────────────────── // INPUT PARAMETERS // ──────────────────────────────────────────────────────────────────────────── fastLen = input.int(10, "Fast MA Period", minval=1) slowLen = input.int(30, "Slow MA Period", minval=1) riskPct = input.float(2.0, "Risk %", minval=0.1) / 100 slPct = input.float(5.0, "Stop Loss %", minval=0.1) / 100 tpPct = input.float(10.0, "Take Profit %", minval=0.1) / 100 adxThresh = input.int(20, "ADX Trend Threshold") // ──────────────────────────────────────────────────────────────────────────── // INDICATORS // ──────────────────────────────────────────────────────────────────────────── fastMA = ta.sma(close, fastLen) slowMA = ta.sma(close, slowLen) adx = ta.adx(14) = ta.dmi(14, 14) // ──────────────────────────────────────────────────────────────────────────── // FILTERS // ──────────────────────────────────────────────────────────────────────────── trendConfirmed = adx > adxThresh and diPlus > diMinus // ──────────────────────────────────────────────────────────────────────────── // STRATEGY LOGIC // ──────────────────────────────────────────────────────────────────────────── // Entry: MA crossover + trend confirmation if ta.crossover(fastMA, slowMA) and trendConfirmed strategy.entry("Long", strategy.long) // Exit: MA crossunder if ta.crossunder(fastMA, slowMA) strategy.close("Long") // Risk management: Stop loss and take profit if strategy.position_size > 0 strategy.exit("RM", "Long", stop=strategy.position_avg_price * (1 - slPct), limit=strategy.position_avg_price * (1 + tpPct)) // ═══════════════════════════════════════════════════════════════════════════ // ⮟ Run backtest with custom parameters // ═══════════════════════════════════════════════════════════════════════════ DT.runDeeptest( riskPerTrade = 1.0, // ← 1% risk per trade targetMaxDDPct = 15.0, // ← 15% max drawdown target showStressTest = true, // ← Enable stress test table showPeriodCards = true, // ← Enable period cards wfaWindows = 12, // ← Walk-forward windows mcSimulations = 1000, // ← Monte Carlo runs bullColor = color.new(#00b9ff, 0), bearColor = color.new(#ff0051, 0), benchmarkSymbol = "SPX", // ← Compare to S&P; 500 periodCardMode = "drawdowns", // ← Show drawdown periods tradeSortBy = "return" // ← Sort by return % ) ╔══════════════════════════════════════════════════════════════════════════════╗ ║ EXAMPLE 3: PROFESSIONAL (Full-Featured) ║ ╠══════════════════════════════════════════════════════════════════════════════╣ ║ Complete professional implementation: ║ ║ • Organized input groups for better UX ║ ║ • Multiple filters: ADX trend, ATR volatility, Session timing ║ ║ • Trailing stop to lock in profits ║ ║ • Position highlighting for visual feedback ║ ║ • Full parameter customization with inline documentation ║ ╚══════════════════════════════════════════════════════════════════════════════╝ //@version=6 runDeeptest(targetMaxDDPct, bullColor, bearColor, tableBg, headerBg, borderColor, textPrimary, textMuted, textSize, showComplementaryRow, showStressTestTable, showDrawdownRecoveryCards, showTradeCards)   Parameters:      targetMaxDDPct (float)      bullColor (color)      bearColor (color)      tableBg (color)      headerBg (color)      borderColor (color)      textPrimary (color)      textMuted (color)      textSize (string)      showComplementaryRow (bool)      showStressTestTable (bool)      showDrawdownRecoveryCards (bool)      showTradeCards (bool) ThresholdConfig   ThresholdConfig - Configuration for metric thresholds and corresponding colors   Fields:      sharpeExc (series float)      sharpeGood (series float)      sharpeOk (series float)      sharpeBear (series color)      sharpeNeutral (series color)      sharpeOrange (series color)      sharpeBull (series color)      ddSevere (series float)      ddMod (series float)      ddMild (series float)      ddSevereColor (series color)      ddModColor (series color)      ddOrange (series color)      ddGoodColor (series color)      rorHigh (series float)      rorMod (series float)      rorLow (series float)      rorHighColor (series color)      rorModColor (series color)      rorOrange (series color)      rorLowColor (series color)      r2Poor (series float)      r2Mod (series float)      r2Good (series float)      r2PoorColor (series color)      r2ModColor (series color)      r2Orange (series color)      r2GoodColor (series color)      kurtHigh (series float)      kurtMod (series float)      kurtOk (series float)      kurtHighColor (series color)      kurtModColor (series color)      kurtOrange (series color)      kurtGoodColor (series color)      skewVNeg (series float)      skewModNeg (series float)      skewPos (series float)      skewVPos (series float)      skewVNegColor (series color)      skewModNegColor (series color)      skewNeutral (series color)      skewPosColor (series color)      payoffPoor (series float)      payoffBE (series float)      payoffGood (series float)      payoffPoorColor (series color)      payoffBEColor (series color)      payoffOrange (series color)      payoffGoodColor (series color)      pfPoor (series float)      pfBE (series float)      pfGood (series float)      pfPoorColor (series color)      pfBEColor (series color)      pfOrange (series color)      pfGoodColor (series color)      ulcerHigh (series float)      ulcerLow (series float)      ulcerHighColor (series color)      ulcerModColor (series color)      ulcerOrange (series color)      ulcerLowColor (series color)      wrLow (series float)      wrOk (series float)      wrHigh (series float)      wrLowColor (series color)      wrOkColor (series color)      wrOrange (series color)      wrHighColor (series color)      cagrPoor (series float)      cagrOk (series float)      cagrGood (series float)      cagrPoorColor (series color)      cagrOkColor (series color)      cagrOrange (series color)      cagrGoodColor (series color)      pInsig (series float)      pMod (series float)      pSig (series float)      pInsigColor (series color)      pModColor (series color)      pOrange (series color)      pSigColor (series color)      calmarPoor (series float)      calmarBE (series float)      calmarGood (series float)      calmarPoorColor (series color)      calmarBEColor (series color)      calmarOrange (series color)      calmarGoodColor (series color)      betaHigh (series float)      betaLow (series float)      betaHighColor (series color)      betaLowColor (series color)      betaGoodColor (series color) Stats   Stats - Comprehensive backtest statistics container   Fields:      totalTrades (series int)      winTrades (series int)      lossTrades (series int)      evenTrades (series int)      winRate (series float)      lossRate (series float)      avgWinPct (series float)      avgLossPct (series float)      avgTradePct (series float)      profitFactor (series float)      payoffRatio (series float)      expectancy (series float)      grossProfit (series float)      grossLoss (series float)      netProfit (series float)      netProfitPct (series float)      compEffect (series float)      sharpe (series float)      sortino (series float)      calmar (series float)      martin (series float)      maxDrawdown (series float)      maxDrawdownPct (series float)      currentDrawdown (series float)      currentDrawdownPct (series float)      avgDrawdownPct (series float)      maxEquity (series float)      minEquity (series float)      cagr (series float)      monthlyReturn (series float)      maxConsecWins (series int)      maxConsecLosses (series int)      avgTradeDuration (series float)      avgWinDuration (series float)      avgLossDuration (series float)      timeInMarketPct (series float)      tradesPerMonth (series float)      tradesPerYear (series float)      skewness (series float)      kurtosis (series float)      var95 (series float)      cvar95 (series float)      ulcerIndex (series float)      riskOfRuin (series float)      pValue (series float)      zScore (series float)      alpha (series float)      beta (series float)      buyHoldReturn (series float)      equityRSquared (series float)      firstTradeTime (series int)      lastTradeTime (series int)      tradingPeriodDays (series float) RollingWindowSummary   RollingWindowSummary - Summary of metrics for a single rolling analysis window   Fields:      windowIndex (series int)      startTrade (series int)      endTrade (series int)      effectiveCount (series int)      minValue (series float)      maxValue (series float)      metricValue (series float) RollingStats   RollingStats - Statistical distribution of rolling window metrics   Fields:      windowSize (series int) : Number of trades in rolling window      expectancyMin (series float) : Minimum rolling expectancy      expectancyMax (series float) : Maximum rolling expectancy      sharpeMin (series float) : Minimum rolling Sharpe      sharpeMax (series float) : Maximum rolling Sharpe      sortinoMin (series float) : Minimum rolling Sortino      sortinoMax (series float) : Maximum rolling Sortino      expectancyWindows (array) : Per-window summaries for expectancy      sharpeWindows (array) : Per-window summaries for Sharpe      sortinoWindows (array) : Per-window summaries for Sortino      expectancyMean (series float) : Mean expectancy across rolling windows      expectancyStdDev (series float) : Standard deviation of expectancy      expectancyPct90 (series float) : 90th percentile expectancy      expectancyPct50 (series float) : 50th percentile expectancy (median)      expectancyPct10 (series float) : 10th percentile expectancy      sharpeMean (series float) : Mean Sharpe across rolling windows      sharpeStdDev (series float) : Standard deviation of Sharpe      sharpePct90 (series float) : 90th percentile Sharpe      sharpePct50 (series float) : 50th percentile Sharpe      sharpePct10 (series float) : 10th percentile Sharpe      sortinoMean (series float) : Mean Sortino across rolling windows      sortinoStdDev (series float) : Standard deviation of Sortino      sortinoPct90 (series float) : 90th percentile Sortino      sortinoPct50 (series float) : 50th percentile Sortino      sortinoPct10 (series float) : 10th percentile Sortino
ไลบรารี Pine Script®
โดย DeepEx_Paradigma