Empiece

Volatilidad

Parabolic SAR📌 This indicator enhances the traditional Parabolic SAR trend-reversal system by incorporating adjustable strictness filtering based on candle structure, volume confirmation, volatility-based body size, and moving-average bias, enabling cleaner and more selective signals. ■ User Inputs SAR Start / Increment / Max: Standard Parabolic SAR parameters controlling acceleration and sensitivity. Strictness Level (1–10): Defines the filtering intensity applied to SAR crossover signals, where higher levels require stronger candle confirmation, higher volume thresholds, and trend-aligned price action relative to moving averages. ■ Base SAR Logic The script calculates the Parabolic SAR using TradingView’s built-in ta.sar. Two raw signals form the foundation: Rising Base: Close crosses above sar. Bearing Base: Close crosses below sar. These are not used directly—filters refine them according to the chosen strictness level. ■ Filter Components The script evaluates multiple market conditions: Candle Direction: candle_up = close > open, candle_down = close < open. Volume Filter: Volume greater than 10-period SMA. Body Size Filter: Normal body: |close-open| > ATR(14) × 0.2 Strong body: |close-open| > ATR(14) × 0.5 Trend Bias: Price above/below SMA (20 or 50) depending on strictness level. These elements combine to confirm signal strength and reduce noise. ■ Sensitivity Level Logic (1–10) Each level progressively increases strictness: Level 1: Pure SAR crossover only. Level 2: SAR crossover + candle direction alignment. Level 3: Adds volume confirmation. Level 4: Adds minimum body-size requirement. Level 5: Requires strong candle body + volume. Level 6: Requires stronger volume (SMA20). Level 7: Strong body + SMA20 volume confirmation. Level 8: Strong body + high volume (SMA50). Level 9: Adds trend bias: Long = above SMA20 Short = below SMA20 Level 10 (Most Strict): Very high volume (SMA100) Strong body Strong trend alignment (SMA50) The higher the level, the less likely a breakout signal is to be seen. ■ Visualization SAR Chart: A green cross is displayed for an uptrend, and a red cross is displayed for a downtrend, or a custom setting is supported. Signal Indicators: Long-term: Green ▲ below the bar Summary: Red ▼ above the bar Markers are displayed by default, reflecting the filtered signal output, or a custom setting is supported. ■ Purpose This indicator is intended to: Reduce SAR’s natural noise through strict filtering. Provide tailored signal reliability based on trader preference. Enhance candle-confirmation, volume-driven accuracy, and trend alignment. It does not predict future price nor guarantee profitable trades—filters simply refine.
Indicador Pine Script®
por c9indicator
RSS - Reversal Score System v3 [Rulph]OVERVIEW (Russian version below) The Reversal Score System v3 (RSS3) is a sophisticated multi-component indicator designed to identify potential market reversal zones by combining volatility pressure analysis, trend momentum measurement, and divergence detection. The system generates a normalized score ranging from -1 (bullish) to +1 (bearish), with visual cloud overlays highlighting high-probability reversal areas. RSS3 integrates multi-timeframe confirmation and adaptive divergence filtering to reduce false signals in strong trends. CORE COMPONENTS Volatility Pressure Index (VPI) VPI measures volatility expansion and price compression by combining: • RSI distance from neutral (50) to gauge momentum deviation • Annualized volatility estimation (VIX-style) to detect stress • Normalized candle range relative to historical volatility • Bollinger Bands position for price extension analysis Higher VPI values indicate overbought conditions with volatility pressure, while lower values suggest oversold compression with potential for reversal. Trend Direction Force Index (TDFI) TDFI quantifies directional momentum strength by analyzing: • Divergence between fast (MMA) and slow (SMMA) moving averages • Average momentum (impetus) between the two moving averages • Normalized power-weighted trend force Positive TDFI indicates strong uptrend momentum, negative values indicate downtrend force. Extreme values (>0.7 or <-0.7) trigger impulse signals. Divergence Detection System The indicator automatically detects classical and hidden divergences for both VPI and TDFI: • Bullish divergences: price makes lower low while indicator makes higher low • Bearish divergences: price makes higher high while indicator makes lower high • Divergence bonus decays over time (customizable decay period) • Amplitude-weighted strength multiplier • Sequential divergence counter for confirmation Multi-Timeframe Filter (MTF) Optional higher timeframe analysis helps filter low-probability reversals: • Off mode : No filtering applied • Reduce mode : Lowers divergence bonus when counter-trend to HTF (30% reduction) • Block mode : Completely hides divergence markers against strong HTF trend MTF calculates VPI and TDFI on higher timeframe and blends scores based on MTF weight parameter. FINAL SCORE CALCULATION The final score combines: Score = (VPI_weight × VPI) + (TDFI_weight × TDFI) - Bull_Div_Bonus + Bear_Div_Bonus When MTF is enabled: Final_Score = (1 - MTF_weight) × Base_Score + MTF_weight × MTF_Score VISUAL FEATURES Adaptive Score Clouds Dynamic colored zones appear above/below price when reversal conditions strengthen: • Green cloud below price : Bullish reversal zone (score < bullish threshold) • Red cloud above price : Bearish reversal zone (score > bearish threshold) • Cloud height : Proportional to signal strength (3× ATR maximum) • Transparency : Decreases with stronger signals (90% weak → 50% strong) • Threshold mode : Clouds appear only when thresholds exceeded • Gradient mode : Clouds show accumulation from any score value Divergence Markers Triangle markers indicate detected divergences: • Green/Lime triangles below price: Bullish divergences (lime = both VPI+TDFI) • Red/Maroon triangles above price: Bearish divergences (maroon = both VPI+TDFI) • Gray markers: Filtered divergences (when MTF filter is active) • Offset by pivot lookback period for accuracy Momentum Impulses Optional arrow markers highlight strong momentum breakouts: • Blue arrows down: Bearish momentum impulse • Orange arrows up: Bullish momentum impulse Info Table Real-time statistics display in top-right corner: • Current final score with color coding • Individual VPI and TDFI values • Active divergence bonuses (Bull/Short) • MTF trend status (when enabled) • Current filter mode HOW TO USE For Reversal Trading 1 — Wait for score to cross bullish threshold (<-0.5) for potential long entries or bearish threshold (>0.5) for shorts 2 — Confirm with divergence markers appearing simultaneously 3 — Look for cloud formation strengthening the signal 4 — Use MTF filter to avoid counter-trend trades For Trend Continuation • Impulse arrows indicate strong momentum continuation • Use as confirmation when trading in direction of established trend • MTF alignment provides additional confidence For Multi-Timeframe Analysis • Enable MTF filter and set higher timeframe (e.g., 4H on 1H chart, Daily on 4H chart) • Use "Reduce" mode for conservative approach • Use "Block" mode for strict trend alignment PARAMETERS GUIDE Score Group • VPI Weight (0.5): Balance between volatility and trend components. Increase for volatility-focused signals. • TDFI Weight (0.5): Balance between volatility and trend components. Increase for trend-focused signals. • Divergence Bonus Max (0.3): Maximum contribution of divergences to score. Higher = stronger divergence impact. Divergence Group • Pivot Lookback (3): 2=aggressive/fast, 3=balanced, 5=conservative/slow Multi TimeFrame Group • Higher TF : Typically 4-16× current timeframe (e.g., 4H for 1H chart) • MTF Weight (0.3): Influence of higher timeframe in final score • Trend Filter Level (0.5): TDFI threshold defining "strong trend" on HTF Visual Group • Cloud Mode : Threshold (traditional) vs Gradient (continuous accumulation) • Cloud Transparency : Base transparency for weak signals Advanced Groups Fine-tune indicator components for specific markets or timeframes. Default values work well for most assets. Increasing periods smooths signals but adds lag; decreasing periods increases sensitivity but may cause noise. ALERTS Six alert conditions available: • Bullish Zone: Score crosses below bullish threshold • Bearish Zone: Score crosses above bearish threshold • Strong Bull Div: Both VPI+TDFI show bullish divergence (unfiltered) • Strong Bear Div: Both VPI+TDFI show bearish divergence (unfiltered) • Down Impulse: Bearish momentum breakout • Up Impulse: Bullish momentum breakout NOTES • Works on all timeframes and asset classes (crypto, forex, stocks, indices) • Best results on liquid markets with clear trend/reversal cycles • Combine with price action, support/resistance, and risk management • Divergences work best in ranging or weakening trend conditions • Not a standalone trading system - use as confirmation tool LIMITATIONS • Like all indicators, RSS3 can generate false signals in choppy/sideways markets • Divergence detection requires sufficient historical data (minimum 50-100 bars) • MTF filter may reduce signal frequency significantly in "Block" mode • Advanced parameters require understanding of underlying calculations DISCLAIMER This indicator is provided for informational and educational purposes only and does not constitute financial, investment, or trading advice. All trading involves risk, and past performance does not guarantee future results. Users are solely responsible for their own trading decisions and should conduct their own research or consult with a qualified financial advisor before making any investment decisions. The author assumes no liability for any losses incurred through the use of this indicator. ═════════════════════════════════════════════════════════════════════════ © Rulph - Reversal Score System v3 ОБЗОР Reversal Score System v3 (RSS3) — это многокомпонентный индикатор для выявления зон потенциального разворота рынка, объединяющий анализ давления волатильности, измерение силы тренда и обнаружение дивергенций. Система генерирует нормализованный скор от -1 (бычий) до +1 (медвежий) с визуальными облаками, выделяющими зоны высокой вероятности разворота. RSS3 интегрирует подтверждение с высшего таймфрейма и адаптивную фильтрацию дивергенций для снижения ложных сигналов в сильных трендах. ОСНОВНЫЕ КОМПОНЕНТЫ Индекс давления волатильности (VPI) VPI измеряет расширение волатильности и ценовое сжатие, комбинируя: • Отклонение RSI от нейтрального уровня (50) для оценки моментума • Оценку годовой волатильности (VIX) для определения стресса • Нормализованный диапазон свечей относительно исторической волатильности • Положение относительно полос Боллинджера для анализа растяжения цены Высокие значения VPI указывают на перекупленность с давлением волатильности, низкие значения — на перепроданность со сжатием и потенциалом разворота. Индекс силы направления тренда (TDFI) TDFI количественно оценивает силу направленного моментума через анализ: • Расхождения между быстрой (MMA) и медленной (SMMA) скользящими средними • Среднего моментума (импульса) между двумя скользящими • Нормализованной силы тренда с весовым коэффициентом Положительный TDFI указывает на сильный восходящий моментум, отрицательные значения — на нисходящую силу. Экстремальные значения (>0.7 или <-0.7) вызывают импульсные сигналы. Система обнаружения дивергенций Индикатор автоматически обнаруживает классические и скрытые дивергенции для VPI и TDFI: • Бычьи дивергенции: цена формирует более низкий минимум, индикатор — более высокий минимум • Медвежьи дивергенции: цена формирует более высокий максимум, индикатор — более низкий максимум • Бонус дивергенции затухает со временем (настраиваемый период затухания) • Множитель силы, взвешенный по амплитуде • Счётчик последовательных дивергенций для подтверждения Мультитаймфреймовый фильтр (MTF) Опциональный анализ высшего таймфрейма помогает отфильтровать развороты с низкой вероятностью: • Режим Off : Фильтрация не применяется • Режим Reduce : Снижает бонус дивергенции при контр-тренде к HTF (на 30%) • Режим Block : Полностью скрывает маркеры дивергенций против сильного тренда HTF MTF рассчитывает VPI и TDFI на высшем таймфрейме и смешивает скоры на основе параметра MTF weight. РАСЧЁТ ФИНАЛЬНОГО СКОРА Финальный скор объединяет: Скор = (Вес_VPI × VPI) + (Вес_TDFI × TDFI) - Бонус_бычьей_див + Бонус_медвежьей_див При включённом MTF: Финальный_скор = (1 - Вес_MTF) × Базовый_скор + Вес_MTF × MTF_скор ВИЗУАЛЬНЫЕ ФУНКЦИИ Адаптивные облака скора Динамические цветные зоны появляются выше/ниже цены при усилении условий разворота: • Зелёное облако под ценой : Бычья зона разворота (скор < бычьего порога) • Красное облако над ценой : Медвежья зона разворота (скор > медвежьего порога) • Высота облака : Пропорциональна силе сигнала (максимум 3× ATR) • Прозрачность : Уменьшается при усилении сигнала (90% слабый → 50% сильный) • Режим Threshold : Облака появляются только при превышении порогов • Режим Gradient : Облака показывают накопление от любого значения скора Маркеры дивергенций Треугольные маркеры указывают на обнаруженные дивергенции: • Зелёные/лаймовые треугольники под ценой: Бычьи дивергенции (лайм = обе VPI+TDFI) • Красные/бордовые треугольники над ценой: Медвежьи дивергенции (бордо = обе VPI+TDFI) • Серые маркеры: Отфильтрованные дивергенции (когда активен MTF-фильтр) • Смещение на период pivot lookback для точности Импульсы моментума Опциональные стрелки выделяют сильные импульсные прорывы: • Синие стрелки вниз: Медвежий импульс моментума • Оранжевые стрелки вверх: Бычий импульс моментума Информационная таблица Статистика в реальном времени в правом верхнем углу: • Текущий финальный скор с цветовой кодировкой • Отдельные значения VPI и TDFI • Активные бонусы дивергенций (Bull/Short) • Статус тренда MTF (при включении) • Текущий режим фильтра КАК ИСПОЛЬЗОВАТЬ Для торговли на разворотах 1 — Дождитесь пересечения скором бычьего порога (<-0.5) для потенциальных лонгов или медвежьего порога (>0.5) для шортов 2 — Подтвердите одновременным появлением маркеров дивергенций 3 — Ищите формирование облака, усиливающего сигнал 4 — Используйте MTF-фильтр для избегания контр-трендовых сделок Для продолжения тренда • Импульсные стрелки указывают на сильное продолжение моментума • Используйте как подтверждение при торговле в направлении установленного тренда • Выравнивание MTF даёт дополнительную уверенность Для мультитаймфреймового анализа • Включите MTF-фильтр и установите высший таймфрейм (например, 4H на графике 1H, Daily на 4H) • Используйте режим "Reduce" для консервативного подхода • Используйте режим "Block" для строгого выравнивания по тренду РУКОВОДСТВО ПО ПАРАМЕТРАМ Группа Score • VPI Weight (0.5): Баланс между компонентами волатильности и тренда. Увеличьте для сигналов, ориентированных на волатильность. • TDFI Weight (0.5): Баланс между компонентами волатильности и тренда. Увеличьте для сигналов, ориентированных на тренд. • Divergence Bonus Max (0.3): Максимальный вклад дивергенций в скор. Выше = сильнее влияние дивергенций. Группа Divergence • Pivot Lookback (3): 2=агрессивно/быстро, 3=сбалансированно, 5=консервативно/медленно Группа Multi TimeFrame • Higher TF : Обычно в 4-16 раз больше текущего таймфрейма (например, 4H для графика 1H) • MTF Weight (0.3): Влияние высшего таймфрейма в финальном скоре • Trend Filter Level (0.5): Порог TDFI, определяющий "сильный тренд" на HTF Группа Visual • Cloud Mode : Threshold (традиционный) vs Gradient (непрерывное накопление) • Cloud Transparency : Базовая прозрачность для слабых сигналов Группы Advanced Тонкая настройка компонентов индикатора для конкретных рынков или таймфреймов. Значения по умолчанию хорошо работают для большинства активов. Увеличение периодов сглаживает сигналы, но добавляет задержку; уменьшение периодов увеличивает чувствительность, но может вызвать шум. АЛЕРТЫ Доступны шесть условий для алертов: • Bullish Zone: Скор пересекает бычий порог снизу вверх • Bearish Zone: Скор пересекает медвежий порог сверху вниз • Strong Bull Div: Обе VPI+TDFI показывают бычью дивергенцию (не отфильтровано) • Strong Bear Div: Обе VPI+TDFI показывают медвежью дивергенцию (не отфильтровано) • Down Impulse: Медвежий импульсный прорыв • Up Impulse: Бычий импульсный прорыв ПРИМЕЧАНИЯ • Работает на всех таймфреймах и классах активов (крипто, форекс, акции, индексы) • Лучшие результаты на ликвидных рынках с чёткими циклами тренд/разворот • Комбинируйте с price action, уровнями поддержки/сопротивления и риск-менеджментом • Дивергенции лучше всего работают в условиях флэта или ослабления тренда • Не является самостоятельной торговой системой - используйте как инструмент подтверждения ОГРАНИЧЕНИЯ • Как все индикаторы, RSS3 может генерировать ложные сигналы в изменчивых/боковых рынках • Обнаружение дивергенций требует достаточного объёма исторических данных (минимум 50-100 баров) • MTF-фильтр может значительно снизить частоту сигналов в режиме "Block" • Продвинутые параметры требуют понимания базовых расчётов ДИСКЛЕЙМЕР Данный индикатор предоставляется исключительно в информационных и образовательных целях и не является финансовой, инвестиционной или торговой рекомендацией. Любая торговля сопряжена с риском, и прошлые результаты не гарантируют будущей доходности. Пользователи несут полную ответственность за свои торговые решения и должны провести собственное исследование или проконсультироваться с квалифицированным финансовым консультантом перед принятием инвестиционных решений. Автор не несёт ответственности за любые убытки, понесённые в результате использования данного индикатора. ═════════════════════════════════════════════════════════════════════════ © Rulph - Reversal Score System v3
Indicador Pine Script®
por rulphru
2
Raja's SMC Order Blocks Display [PRO]Raja's SMC Order Blocks Display - Complete Description 🌟 A Message from Raja Saien This indicator has been crafted with dedication, countless hours of research, and deep passion for trading excellence. Raja Saien has poured his heart and soul into creating this powerful tool to help YOU succeed in the markets. For Everyone Starting Their Trading Journey: If you're new to trading, remember - every expert was once a beginner. This indicator is your gateway to understanding how institutional money moves in the markets. Raja Saien believes in YOUR potential to learn, grow, and achieve financial freedom through smart trading. The path to success requires: ✨ Dedication to learning the craft 💪 Patience during the learning curve 🎯 Consistent practice with the right tools 🚀 Belief in your ability to master the markets This isn't just an indicator - it's a mentor on your chart, showing you where the smart money is positioned. With hard work and this tool in your arsenal, you can transform your trading and your life. Remember: The markets reward those who prepare, practice, and persist. Raja Saien has given you the tool - now it's your turn to commit to the journey! Overview This is an advanced TradingView indicator that identifies and displays Smart Money Concepts (SMC) and Order Blocks. It's designed for professional traders who want to understand institutional trading patterns and market structure. Main Features 1. Smart Money Concepts (SMC) Detection ZigZag Pattern Recognition: Identifies market structure using pivot highs and lows Break of Structure (BOS): Detects when price breaks through important structural levels Change of Character (CHoCH): Identifies trend reversals and shifts in market sentiment Configurable Length: Adjustable ZigZag sensitivity (default: 5 bars) 2. Order Blocks (OB) Order blocks are zones where institutional investors have placed large orders. The indicator identifies two types: Bullish Order Blocks: Created when market shifts from bearish to bullish Marks the last bearish candle before the structure break Displayed in green/teal color Represents potential support zones where price may bounce Looks back 10 bars to find the lowest bearish candle Bearish Order Blocks: Created when market shifts from bullish to bearish Marks the last bullish candle before the structure break Displayed in red color Represents potential resistance zones where price may reject Looks back 10 bars to find the highest bullish candle 3. Order Block Management Dynamic Extension: Active order blocks extend forward on the chart Mitigation Detection: Automatically detects when price fully breaks through an order block Bullish OB mitigated when close drops below the bottom Bearish OB mitigated when close rises above the top Visual Feedback: Mitigated blocks turn gray and are labeled "Mitigated" Auto-cleanup: Removes mitigated order blocks from active tracking 4. Moving Averages Suite Includes multiple trend indicators for comprehensive analysis: Fast EMA (default 9): Yellow line - captures short-term momentum Slow EMA (default 21): Purple line - identifies medium-term trends EMA 50: Orange line - major trend filter SMA 200: Blue line - long-term trend and institutional reference point All EMAs support multiple source options: Open, High, Low, Close, HL2, HLC3, OHLC4 Customization Options SMC Settings ZigZag Length: Control sensitivity of structure detection (2-100) Show Order Blocks: Toggle order block display on/off Visual Settings Bullish Color: Customize color for bullish order blocks (default: teal #089981) Bearish Color: Customize color for bearish order blocks (default: red #f23645) Transparency: Order blocks displayed with 80% transparency for better chart visibility EMA Settings Fast EMA Length: Adjustable period (default: 9) Slow EMA Length: Adjustable period (default: 21) Source Selection: Choose calculation source for each EMA Toggle EMA 50: Show/hide the 50-period EMA Toggle SMA 200: Show/hide the 200-period SMA How It Works Structure Detection Process Identifies pivot highs and lows based on specified length Creates ZigZag lines connecting significant swing points Tracks current trend direction (bullish/bearish/neutral) Monitors for structural breaks that signal trend changes Order Block Creation When price breaks above a previous high (bullish BOS): Scans last 10 bars for the lowest bearish candle Creates bullish order block at that candle's range Marks it as active support zone When price breaks below a previous low (bearish BOS): Scans last 10 bars for the highest bullish candle Creates bearish order block at that candle's range Marks it as active resistance zone Order Block Lifecycle Active: Box extends forward with colored border and background Tested: Price can interact with the zone multiple times Mitigated: Once price closes through the zone, marked as invalidated Removed: Automatically cleaned up after mitigation Trading Applications Entry Strategies Pullback Entries: Wait for price to return to an active order block Confirmation: Look for bullish price action at bullish OBs, bearish at bearish OBs EMA Confluence: Stronger setups when OBs align with EMA levels Risk Management Stop Loss: Place stops just beyond the order block boundary Invalidation: Exit if order block gets mitigated Multiple Timeframes: Check OBs on higher timeframes for stronger zones Trend Analysis EMA Alignment: All EMAs pointing same direction = strong trend EMA 50 Test: Key level for trend continuation/reversal SMA 200: Major institutional reference point Technical Specifications Max Boxes: 500 (sufficient for most chart timeframes) Max Lines: 500 Max Labels: 500 Overlay: True (draws directly on price chart) Version: Pine Script v5 Best Practices Use on liquid markets (forex, major stocks, crypto) Combine with volume analysis for confirmation Higher timeframes produce more reliable order blocks Wait for clear structure breaks before trusting new OBs Don't trade against the major trend (SMA 200 direction) Use multiple confirmations before entering trades Limitations Works best in trending markets with clear structure May produce false signals in ranging/choppy conditions Requires understanding of Smart Money Concepts Not a standalone trading system - use with proper risk management Historical order blocks don't guarantee future reactions
Indicador Pine Script®
por RajaSaien
Adaptive Volatility Stop by Pedro Paulo de MeloStop ATR is a clean and reliable volatility-based trailing stop system, built to adapt dynamically to market conditions using the Average True Range (ATR). It identifies trend direction, adjusts the stop level using stair-step logic, and automatically flips the stop when price reversals occur. How it works Uses ATR × Multiplier to calculate an adaptive volatility buffer Tracks trend direction internally Recomputes and repositions the stop when a trend flip is detected Plots separate lines for bullish and bearish stop states Works on any market and timeframe (crypto, forex, commodities, indices, stocks) Why it’s useful This Stop ATR implementation is extremely stable and visually clean. It is particularly effective for: Trend following Position management Swing and position trading Systematic stop placement Unlike many ATR-based stop versions, this script uses a corrected flip-handling method that prevents stop misalignment and ensures consistent trend state tracking. Inputs Period — ATR length Multiplier — ATR factor that defines stop distance Author Developed by Pedro Paulo de Melo, open-source version.
Indicador Pine Script®
por pedro_demelo
CEF (Chaos Theory Regime Oscillator)Chaos Theory Regime Oscillator This script is open to the community. What is it? The CEF (Chaos Entropy Fusion) Oscillator is a next-generation "Regime Analysis" tool designed to replace traditional, static momentum indicators like RSI or MACD. Unlike standard oscillators that only look at price changes, CEF analyzes the "character" of the market using concepts from Chaos Theory and Information Theory. It combines advanced mathematical engines (Hurst Exponent, Entropy, VHF) to determine whether a price movement is a real trend or just random noise. It uses a novel "Adaptive Normalization" technique to solve scaling problems common in advanced indicators, ensuring the oscillator remains sensitive yet stable across all assets (Crypto, Forex, Stocks). What It Promises: Intelligent Filtering: Filters out false signals in sideways (volatile) markets using the Hurst Base to measure trend continuity. Dynamic Adaptation: Automatically adapts to volatility. Thanks to trend memory, it doesn't get stuck at the top during uptrends or at the bottom during downtrends. No Repainting: All signals are confirmed at the close of the bar. They don't repaint or disappear. What It Doesn't Promise: Magic Wand: It's a powerful analytical tool, not a crystal ball. It determines the regime, but risk management is up to the investor. Late-Free Holy Grail: It deliberately uses advanced correction algorithms (WMA/SMA) to provide stability and filter out noise. Speed ​​is sacrificed for accuracy. Which Concepts Are Used for Which Purpose? CEF is built on proven mathematical concepts while creating a unique "Fusion" mechanism. These are not used in their standard forms, but are remixed to create a consensus engine: Hurst Exponent: Used to measure the "memory" of the time series. Tells the oscillator whether there is a probability of the trend continuing or reversing to the mean. Vertical Horizontal Filter (VHF): Determines whether the market is in a trend phase or a congestion phase. Shannon Entropy: Measures the "irregularity" or "unpredictability" of market data to adjust signal sensitivity. Adaptive Normalization (Key Innovation): Instead of fixed limits, the oscillator dynamically scales itself based on recent historical performance, solving the "flat line" problem seen in other advanced scripts. Original Methodology and Community Contribution This algorithm is a custom synthesis of public domain mathematical theories. The author's unique contribution lies in the "Adaptive Normalization Logic" and the custom weighting of Chaos components to filter momentum. Why Public Domain? Standard indicators (RSI, MACD) were developed for the markets of the 1970s. Modern markets require modern mathematics. This script is presented to the community to demonstrate how Regime Analysis can improve trading decisions compared to static tools. What Problems Does It Solve? Problem 1: The "Stagnant Market" Trap CEF Solution: While the RSI gives false signals in a sideways market, CEF's Hurst/VHF filter suppresses the signal, essentially making the histogram "off" (or weak) during noise. Problem 2: The "Overbought" Fallacy CEF Solution: In a strong trend (Pump/Dump), traditional oscillators get stuck at 100 or 0. CEF uses "Trend Memory" to understand that an overbought price is not a reversal signal but a sign of trend strength, and keeps the signal green/red instead of reversing it prematurely. Problem 3: Visual Confusion CEF Solution: Instead of multiple lines, it presents a single, color-coded histogram featuring only prominent "Smart Circles" at high-probability reversal points. Automation Ready: Custom Alerts CEF is designed for both manual trading and automation. Smart Buy/Sell Circles: Visual signals that only appear when trend filters are aligned with momentum reversals. Deviation Labels: Automatically detects and labels structural divergences between price and entropy. Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always practice appropriate risk management.
Indicador Pine Script®
por blntdmn
S/R Cloud 3X - [IndaroX] S/R Cloud 3X — Dynamic Support/Resistance & Trend Structure Indicator S/R Cloud 3X is a multi-timeframe support/resistance and trend-structure indicator designed to help traders identify high-probability zones, trend strength, and market transitions with clarity and accuracy. 🟦 Overview S/R Cloud 3X detects dynamic support/resistance zones and trend direction, using a 3-layer cloud system that filters noise and provides reliable market structure across multiple timeframes. Dynamic S/R zones represent institutional liquidity areas and moving supply/demand regions where price often reacts — making them ideal for entries, exits, SL/TP placement, and trend continuation setups. 🟦 Key Features 1. Dynamic Support/Resistance Zones Zones automatically adjust with market movement Provide reliable pullback areas Useful for precision SL/TP placement Work efficiently during both strong trends and corrections 2. Trend Identification The Cloud colors and geometry help determine: Bullish vs. bearish structure Trend strength or weakness Whether the market is trending or ranging Trending Market: Uptrend → Higher Highs (HH) / Higher Lows (HL) Downtrend → Lower Highs (LH) / Lower Lows (LL) Sideways Market: No clear HH/HL or LH/LL Price oscillates between dynamic S/R bands 3. Multi-Timeframe (MTF) Structure Filtering S/R Cloud 3X calculates structure from higher timeframes (e.g., M5, H1) and displays smoothed results on the active chart. Benefits: Removes most of the noise found in lower timeframes Improves trend clarity Increases reliability of S/R zones Mirrors professional multi-timeframe analysis 4. Cloud Geometry Analysis The shape and thickness of the S/R Clouds provide insight into market conditions: Thick Cloud → strong trend / strong S/R zone Thin Cloud → weakening trend or weakening zone Cloud curvature → early warning of pullback or reversal This helps forecast transitions sooner than traditional indicators. 5. Presets & Flexibility S/R Cloud 3X includes optimized presets and adjustable parameters suitable for multiple markets: Gold (XAUUSD) Bitcoin (BTCUSD) Major Forex pairs Indices such as SP500 Customizable settings allow adaptation to various trading styles (scalping, intraday, swing). 🟦 How Traders Use S/R Cloud 3X Identify trend direction and trend strength Wait for price to retrace into the S/R Cloud for entry Use Cloud boundaries for SL/TP Confirm structure alignment between small and large timeframes Filter out low-quality market conditions Note: For enhanced accuracy, S/R Cloud 3X can be combined with momentum or reversal indicators for additional confluence.
Indicador Pine Script®
por IndaroX
TradeRaven — VWAP Auto Trend Signal Pro)TradeRaven — VWAP Auto Trend Signal Pro A next-gen VWAP signal engine built for traders who want speed, accuracy, and true institutional clarity — without needing footprint charts or high-end orderflow tools. This indicator reads what the market is actually doing and classifies every major behavioural shift into instantly recognisable signal states. What Makes This Tool Different Most indicators respond after the move. This one responds to the behaviour that creates the move. It interprets the real internal pressure behind each candle — expansion, contraction, absorption, imbalance, continuation — and instantly classifies the bar into: CON — Trend Continuation REV — Mean Reversion IGN — Ignition MON — Monster Displacement EXH — Exhaustion / Absorption These aren’t random technical alerts. They are behavioural state transitions, the same shifts professional traders watch when evaluating momentum, failure, and opportunity. This is why it feels unusually accurate: it doesn’t chase price — it reads intention. Universal Engine — Built for Every Market Because the model is based on structural behaviour around VWAP, not fixed pattern recognition, it adapts seamlessly across a range of instruments And it works on: 1–5m scalping Intra-session day trading Higher timeframe swing structure If a market has candles, VWAP, and volume, the engine knows how to classify the move. Why VWAP Is the Perfect Anchor VWAP (Volume-Weighted Average Price — average price weighted by traded volume) is the institutional benchmark for execution and session fairness. VWAP gives you the map: Near VWAP → equilibrium (fair value) Far from VWAP → imbalance (opportunity or risk) Return to VWAP → reversion / rebalance Acceleration away → genuine trend commitment This engine measures how price interacts with that fair-value line and translates the interaction into clear, tradable insights. VWAP defines the environment. The engine defines the behaviour. How the Engine Interprets the Market Every signal is the result of multi-layer behavioural reading. The system evaluates: Trend alignment & slope strength Compression vs extension from fair value Expansion velocity (how fast energy is released) Volatility regime & session volume Imbalance pressure Wick rejection at extremes Structural displacement patterns This is what gives the signals depth. They aren’t triggered by simple crossovers. They only fire when the market shows a true change in internal state. That’s why the signals feel “alive.” Sensitivity Modes Aggressive — fast profiling, more signals Balanced — the clean default Sniper — ultra-filtered, higher conviction These modes shift behavioural thresholds depending on volatility and trend maturity, letting you tailor the tool to your execution style. Session Filters Choose the sessions you want the engine active in: Asia London New York This locks signals to genuine volatility windows instead of low-efficiency zones. How Traders Use It 1. Start with VWAP Slope The slope defines the environment: Upward → pro-trend bias Downward → sell-side bias Flat → rotational or mean-reversion conditions This alone filters most bad trades. 2. Read the Signals as Market Narrative CON + IGN → Expansion Ideal for continuation plays and momentum entries. REV + EXH → Rotation Perfect for spotting early reversions, failed highs/lows, and areas to reduce risk. MON → Major Legs These bars define the session and often mark liquidity breaks or displacement shifts. You’re not trading signals — you’re trading the story they reveal. 3. Combine It With Your Own Edge The engine is designed to enhance: Orderflow CVD (Cumulative Volume Delta — measures net aggressive buyers/sellers) Delta footprint Market structure Liquidity plays Price action scalping Think of it as orderflow-style clarity without needing orderflow software. Why This is a Game Changer it turns chaos into structure. it updates instantly. it shows intention where most indicators show noise. it helps you understand why the market moves — not just when. This isn't a traditional “indicator.” It’s a behavioural engine that maps strength, imbalance, exhaustion, and true momentum in a way that mirrors institutional reading. In the right hands, it becomes one of the cleanest, most accurate timing tools you’ll ever use.
Indicador Pine Script®
por traderaven91
1
Trinity Extreme Rope Trend [SamRecio]Original work and credit to Sam and you can find him here (www.tradingview.com) and his script available from Why change... just some small tweaks to enhance and here is the summary of Changes vs the Original Script... - Rope smoothing algorithm kept 100% identical (same brilliant “pull-only-when-exceeded-ATR” logic) - Direction logic unchanged (still instantly resets on price crossing the rope) - Old linebr + fill method completely replaced with clean box.new() consolidation zones - Added “BR” breakout arrows (cyan triangle up for bullish break, magenta triangle down for bearish break) - Arrows fire only on the exact breakout bar — zero repaint, zero lag - Added subtle yellow background tint while in consolidation - Full alertconditions + optional popup/sound on every BR break - Auto-finalizes and cleans boxes properly, no chart clutter Primary rule: only take trades on the BR arrow in the direction of the higher-timeframe trend. Typical high-probability setups - Wait for yellow rope + box → price consolidates - BR arrow appears and candle closes outside the box → enter immediately - Stop-loss just inside the box (opposite side) - Target: next major liquidity pool, previous swing high/low, or 3–5R Suggested Settings for Different Styles/Timeframes Scalping (1 m – 5 m) ATR Length: 10–12 ATR Multiplier: 1.0–1.3 → tighter rope = faster signals, perfect for killing 1-minute London/NY open raids Intraday aggression (5 m – 15 m) ATR Length: 14 (default) ATR Multiplier: 1.5–1.8 → this is the sweet spot most funded traders use right now Swing / position trading (1 H – 4 H) ATR Length: 20–30 ATR Multiplier: 2.0–2.5 → wider rope filters out noise, only catches the real macro moves Daily / weekly bias filter ATR Length: 50 ATR Multiplier: 3.0–4.0 → use only the rope color (ignore boxes) to determine weekly bias — cyan = only longs all week, magenta = only shorts That’s it. Drop the script, choose one of the above settings based on your style, turn on alerts, and hope you enjoy what is a wonderful script.
Indicador Pine Script®
por EMA34TRADER
DewaSMC — Prepare Entry + EMA AlertsA modern SMC indicator based on Market Structure Breaks (BOS/CHoCH), equipped with a Prepare Entry system, EMA confirmation, and alert signals to improve entry execution accuracy. ✨ Main Features 1. Automatic Market Structure - Detects swing High/Low with flexible periods. - Displays BOS ↗/↘ and CHoCH in real-time. - Candles can be colored according to structural trend direction. 2. Prepare Entry Zone (NEW FEATURE) Before a BOS occurs, the indicator marks a “PREPARE ENTRY” area when price approaches a structure within a certain percentage radius. Helps traders get ready early before momentum kicks in. - PREPARE Long when price approaches a High structure. - PREPARE Short when price approaches a Low structure. - PREP zones disappear automatically after several candles. 3. EMA Confirmation (NEW FEATURE) Additional confirmation to filter false breaks: - Short EMA & long EMA to determine trend direction. - Option to require both EMAs to be aligned or only short EMA. - Used for both PREPARE and ENTRY signals. 4. Automatic Entry + Targets After a valid BOS/CHoCH: - Entry level is drawn automatically. - SL automatically calculated using ATR. - TP1, TP2, TP3 automatically calculated and displayed. - Visual box: Risk Zone & Reward Zone for quick RRR visualization. 5. Ready-to-Use Alerts - Alert for PREPARE ENTRY. - Alert for ENTRY (BOS/CHoCH). - Static alert messages for TradingView compatibility. 6. Trade Information Table - When a trade is active, a table is displayed showing: - Direction (LONG/SHORT) - Entry - SL - TP1/TP2/TP3 + status - EMA confirmation status - Risk/Reward Ratio - All neatly arranged according to selected position. 🎯 Use Case This indicator is ideal for traders who use: - Smart Money Concepts (SMC) - Scalping & Intraday - Breakout & Retest strategies - Precision entries requiring multi-signal confirmation - Traders who want PREPARE ENTRY alerts before BOS occurs
Indicador Pine Script®
por yohanespsihombing3
Evo Cipher Pro – 2025 + Optimized DivergencesEvo Cipher Pro – 2025 + Optimized Divergences is the flagship evolution of the Solace Cipher series, a premium TradingView indicator engineered for precision momentum trading with built-in divergence detection. Released in 2025, this all-in-one tool combines WaveTrend crossovers for high-probability green/red dot signals, strength grading for filtered entries, and advanced regular/hidden divergence scanning to spot reversals and continuations early. With optimized code for zero lag and repainting, it's perfect for crypto, forex, stocks, and futures traders seeking an edge in volatile markets. Whether scalping on 3m charts or swinging on hourly, Evo Cipher Pro delivers actionable insights with professional-grade visuals
Indicador Pine Script®
por theboonies
FVG PilotWhat it does Automatically detects and draws Fair Value Gaps (FVGs) on the chart. Removes an FVG as soon as it’s invalidated (bullish FVG invalid if price closes below its lower bound; bearish FVG invalid if price closes above its upper bound). Triggers alerts only during Silver Bullet (SB) sessions in Europe/Berlin time when a new FVG is created. Optionally draws two thin vertical lines at the start and end of each SB session so you can see the windows at a glance. Runs on confirmed bars to avoid repainting. How FVGs are detected Wick mode (default): Bullish FVG when low > high → gap [high , low] Bearish FVG when high < low → gap [high, low ] Body mode (optional): uses candle bodies instead of wicks: Bullish FVG when current body low > prior body high Bearish FVG when current body high < prior body low Silver Bullet sessions (Europe/Berlin) Three configurable session windows (default examples): SB1: 10:00–11:00 SB2: 02:00–03:00 SB3: 07:00–08:00 Alerts for new FVGs fire only inside these windows. Session lines: a thin vertical line is drawn on the first bar inside a session (start) and on the first bar after a session (end). Inputs Show Bullish / Bearish FVGs Use Bodies (instead of wicks) Minimum FVG size (in ticks) Box opacity SB sessions: enable/disable each window and set times (Europe/Berlin) Session line toggle + color/width Alerts included SB (Berlin): Bullish FVG created – fires only during SB sessions SB (Berlin): Bearish FVG created – fires only during SB sessions Bullish FVG invalidated – fires when a bullish FVG is invalidated (no time filter) Bearish FVG invalidated – fires when a bearish FVG is invalidated (no time filter) How to set alerts (TradingView) Click Create Alert. Condition: choose this indicator, then pick one of the alert conditions above. Select your alert options (once per bar close is recommended), then Create. Tips If you don’t see boxes, reduce Minimum FVG size or lower opacity (e.g., 70–85). Body mode is stricter; start with wicks if you want more signals. SB windows use Europe/Berlin and automatically account for DST. The script respects platform limits for drawings; if your chart is cluttered, zoom in or reduce active sessions.
Indicador Pine Script®
por nocobra
Trivon LiteTrivon Lite is the simplified version of the Trivon trading system — designed to give traders clean Buy/Sell signals filtered by trend direction. It is lightweight, beginner-friendly, and perfect for those who want a simple visual system to assist with entries. ✨ Features Buy/Sell signals based on optimized volatility + trend conditions Two built-in trend filters (Lite mode uses restricted settings) Clean TP/SL visualization Uses a simple risk-reward model Works on all markets & timeframes 🔓 What's Included in Lite Basic core entry system Trend filters (limited customization) Basic TP/SL settings 🔒 What's in Trivon Pro (Paid Version) Fully adjustable trend filter periods Optional higher-timeframe confirmation Trend Table (multi-timeframe strength overview) Backtesting Dashboard for performance insights Additional filtering options for cleaner signals ATR-based TP/SL customization More advanced signal refining tools If you enjoy Trivon Lite, the premium version Trivon Pro is coming out soon...
Indicador Pine Script®
por TrivonAI
FVG with Fibonacci Levels [MHA Finverse]FVG with Fibonacci Levels - Professional Fair Value Gap Indicator This advanced Fair Value Gap (FVG) indicator automatically identifies and tracks market imbalances with integrated Fibonacci retracement levels, providing traders with precise entry and exit opportunities. Key Features: Smart Gap Detection • Automatically identifies bullish and bearish fair value gaps in real-time • Customizable minimum gap percentage filter to avoid noise • Visual color-coded boxes for easy identification Fibonacci Integration • Built-in 0.5 and 0.618 Fibonacci retracement levels • Fully customizable fib levels, colors, and line styles • Helps identify optimal entry zones within each gap Intelligent Gap Management • Tracks multiple gaps simultaneously (up to 20) • Automatic gap mitigation detection (Close or Wicks) • Option to remove or highlight filled gaps • Auto-hide boxes after specified bar count Advanced Alert System • Alerts when gaps are filled • Fibonacci level touch alerts for both 0.5 and 0.618 levels • Separate alerts for bullish and bearish setups • Customizable alert preferences Clean Visual Display • Transparent boxes that don't clutter your chart • Extending lines that update in real-time • Customizable colors for both bullish and bearish gaps • Option to change border style when gaps are filled Perfect For: Smart Money Concepts (SMC) traders, Price Action traders, and anyone looking to trade market structure and liquidity gaps with precision. How to Use: The indicator draws boxes around identified fair value gaps and extends them forward until they are filled. Fibonacci levels within each gap provide optimal entry zones. Set up alerts to get notified when price interacts with these key levels. Credits Special thanks to Quant Vue for their code examples and inspiration that contributed to the development of this indicator. Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research and consider your risk tolerance before making any trading decisions. Past performance does not guarantee future results.
Indicador Pine Script®
por humayunmha
Smart Money Concepts [MHA Finverse]A comprehensive Smart Money Concepts (SMC) indicator designed to identify institutional trading behavior and market structure shifts. This tool helps traders align with "smart money" by detecting key supply and demand zones, structural breaks, and liquidity patterns. Core Features Market Structure Analysis - Real-time Internal Structure: Detects short-term BOS (Break of Structure) and CHoCH (Change of Character) with customizable filters - Swing Structure: Identifies major trend shifts and structural breaks on higher timeframes - Adjustable pivot detection with customizable swing point visualization - Strong/Weak High/Low identification for bias confirmation Order Blocks (OB) - Internal and Swing Order Blocks with independent control - Volume-based metrics showing OB strength and percentage contribution - Two filtering methods: ATR-based and Cumulative Mean Range - Flexible mitigation options (Close or High/Low) - Display up to 20 order blocks per type with auto-cleanup on mitigation - Color-coded zones with transparency control Liquidity Detection - Equal Highs (EQH) and Equal Lows (EQL) identification - Threshold-based detection using ATR calculation - Visual confirmation lines connecting equal levels - Adjustable sensitivity and bar confirmation settings Fair Value Gaps (FVG) - Multi-timeframe FVG detection - Auto-threshold calculation based on price momentum - Bullish and Bearish gap visualization - Extendable gap boxes for tracking unfilled imbalances Premium & Discount Zones - Automated premium, equilibrium, and discount zone plotting - Based on current swing range extremes - Visual representation of optimal entry zones - Helps identify potential reversal and continuation areas Multi-Timeframe Levels - Previous Daily, Weekly, and Monthly High/Low levels - Customizable line styles (solid, dashed, dotted) - Independent color controls for each timeframe - Auto-adjusted labels (PDH, PDL, PWH, PWL, PMH, PML) Display Modes - Historical Mode: Shows all past structures and maintains drawing history - Present Mode: Displays only current active structures for cleaner charts Visual Themes - Colored: Full color customization for all elements - Monochrome: Clean grey-scale design for minimal distraction Smart Features - Confluence filter for internal structure to reduce noise - Automatic candle coloring based on market bias - 16 pre-configured alert conditions for all major signals - Efficient rendering with automatic cleanup of broken structures - Independent control over each feature for modular usage Use Cases - Identify institutional entry and exit points through order blocks - Spot potential reversals at premium/discount zones - Confirm trend direction with BOS and CHoCH signals - Find liquidity grabs at equal highs and lows - Trade imbalances at fair value gaps - Align entries with multi-timeframe key levels Settings Organization All features are neatly organized into logical groups: - Smart Money Concepts (general settings) - Real Time Internal Structure - Real Time Swing Structure - Order Blocks - EQH/EQL - Fair Value Gaps - Highs & Lows MTF - Premium & Discount Zones Note: This indicator works on all timeframes and instruments. For optimal results, combine multiple SMC concepts together to find high-probability setups with confluence. Credits Special thanks to Dau_tu_hieu_goc and BigBeluga for their code examples and inspiration that contributed to the development of this indicator. Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before making trading decisions. The developer is not responsible for any trading losses incurred. Happy Trading
Indicador Pine Script®
por humayunmha
HRESH SNIPER PRO - V77🦅 HRESH SNIPER PRO V77: High-Precision Visual AidThis indicator is a powerful, proprietary tool designed for extreme accuracy by identifying high-momentum entries. HRESH PRO prioritizes quality over quantity, delivering clean signals that are highly responsive to market structure.🎯 Operational Constraints (Strict adherence is mandatory)FeatureRequirementNotesAssetSTRICTLY BTC/USDTThe indicator's specialized calibration requires focused operation exclusively on Bitcoin's market profile.Timeframe1-Minute (1M)Designed for scalping and precision entry timing.RiskUSER'S SOLE RESPONSIBILITYRISK IS ENTIRELY YOUR RESPONSIBILITY. This indicator is a technical aid; it is not a prediction tool or financial advice.✨ Signal Presentation & LogicThe HRESH PRO system uses a sophisticated process to confirm high-quality entries, focusing entirely on a clean visual hierarchy to maintain continuous trend information:Primary Entry Label (SNIPER): The large "SNIPER" label is reserved for initiating a new sequence or major re-entry. It appears at the start of a trend or when a new powerful impulse occurs after a 7-hour time lapse, confirming a renewed opportunity.Continuation Feedback: To avoid repeating large labels, all subsequent confirmed entries are marked by Small, Color-Coded Diamonds/Dots. These marks visually validate the ongoing trend direction without cluttering the chart.Neon Bar Coloring: Price bars are colored strongly (Neon Lime/Red) throughout the active signal sequence for immediate visual identification of the primary trend.🛑 Important DisclaimerThis indicator (HRESH SNIPER PRO) is provided as a sophisticated technical analysis tool only. It is not financial advice. All risks associated with trading, including capital loss, are borne by the user. Do your own research (DYOR) and strictly adhere to sound risk management principles.
Indicador Pine Script®
por lendrush1
2
Adaptive Genesis Engine [AGE]ADAPTIVE GENESIS ENGINE (AGE) Pure Signal Evolution Through Genetic Algorithms Where Darwin Meets Technical Analysis 🧬 WHAT YOU'RE GETTING - THE PURE INDICATOR This is a technical analysis indicator - it generates signals, visualizes probability, and shows you the evolutionary process in real-time. This is NOT a strategy with automatic execution - it's a sophisticated signal generation system that you control . What This Indicator Does: Generates Long/Short entry signals with probability scores (35-88% range) Evolves a population of up to 12 competing strategies using genetic algorithms Validates strategies through walk-forward optimization (train/test cycles) Visualizes signal quality through premium gradient clouds and confidence halos Displays comprehensive metrics via enhanced dashboard Provides alerts for entries and exits Works on any timeframe, any instrument, any broker What This Indicator Does NOT Do: Execute trades automatically Manage positions or calculate position sizes Place orders on your behalf Make trading decisions for you This is pure signal intelligence. AGE tells you when and how confident it is. You decide whether and how much to trade. 🔬 THE SCIENCE: GENETIC ALGORITHMS MEET TECHNICAL ANALYSIS What Makes This Different - The Evolutionary Foundation Most indicators are static - they use the same parameters forever, regardless of market conditions. AGE is alive . It maintains a population of competing strategies that evolve, adapt, and improve through natural selection principles: Birth: New strategies spawn through crossover breeding (combining DNA from fit parents) plus random mutation for exploration Life: Each strategy trades virtually via shadow portfolios, accumulating wins/losses, tracking drawdown, and building performance history Selection: Strategies are ranked by comprehensive fitness scoring (win rate, expectancy, drawdown control, signal efficiency) Death: Weak strategies are culled periodically, with elite performers (top 2 by default) protected from removal Evolution: The gene pool continuously improves as successful traits propagate and unsuccessful ones die out This is not curve-fitting. Each new strategy must prove itself on out-of-sample data through walk-forward validation before being trusted for live signals. 🧪 THE DNA: WHAT EVOLVES Every strategy carries a 10-gene chromosome controlling how it interprets market data: Signal Sensitivity Genes Entropy Sensitivity (0.5-2.0): Weight given to market order/disorder calculations. Low values = conservative, require strong directional clarity. High values = aggressive, act on weaker order signals. Momentum Sensitivity (0.5-2.0): Weight given to RSI/ROC/MACD composite. Controls responsiveness to momentum shifts vs. mean-reversion setups. Structure Sensitivity (0.5-2.0): Weight given to support/resistance positioning. Determines how much price location within swing range matters. Probability Adjustment Genes Probability Boost (-0.10 to +0.10): Inherent bias toward aggressive (+) or conservative (-) entries. Acts as personality trait - some strategies naturally optimistic, others pessimistic. Trend Strength Requirement (0.3-0.8): Minimum trend conviction needed before signaling. Higher values = only trades strong trends, lower values = acts in weak/sideways markets. Volume Filter (0.5-1.5): Strictness of volume confirmation. Higher values = requires strong volume, lower values = volume less important. Risk Management Genes ATR Multiplier (1.5-4.0): Base volatility scaling for all price levels. Controls whether strategy uses tight or wide stops/targets relative to ATR. Stop Multiplier (1.0-2.5): Stop loss tightness. Lower values = aggressive profit protection, higher values = more breathing room. Target Multiplier (1.5-4.0): Profit target ambition. Lower values = quick scalping exits, higher values = swing trading holds. Adaptation Gene Regime Adaptation (0.0-1.0): How much strategy adjusts behavior based on detected market regime (trending/volatile/choppy). Higher values = more reactive to regime changes. The Magic: AGE doesn't just try random combinations. Through tournament selection and fitness-weighted crossover, successful gene combinations spread through the population while unsuccessful ones fade away. Over 50-100 bars, you'll see the population converge toward genes that work for YOUR instrument and timeframe. 📊 THE SIGNAL ENGINE: THREE-LAYER SYNTHESIS Before any strategy generates a signal, AGE calculates probability through multi-indicator confluence: Layer 1 - Market Entropy (Information Theory) Measures whether price movements exhibit directional order or random walk characteristics: The Math: Shannon Entropy = -Σ(p × log(p)) Market Order = 1 - (Entropy / 0.693) What It Means: High entropy = choppy, random market → low confidence signals Low entropy = directional market → high confidence signals Direction determined by up-move vs down-move dominance over lookback period (default: 20 bars) Signal Output: -1.0 to +1.0 (bearish order to bullish order) Layer 2 - Momentum Synthesis Combines three momentum indicators into single composite score: Components: RSI (40% weight): Normalized to -1/+1 scale using (RSI-50)/50 Rate of Change (30% weight): Percentage change over lookback (default: 14 bars), clamped to ±1 MACD Histogram (30% weight): Fast(12) - Slow(26), normalized by ATR Why This Matters: RSI catches mean-reversion opportunities, ROC catches raw momentum, MACD catches momentum divergence. Weighting favors RSI for reliability while keeping other perspectives. Signal Output: -1.0 to +1.0 (strong bearish to strong bullish) Layer 3 - Structure Analysis Evaluates price position within swing range (default: 50-bar lookback): Position Classification: Bottom 20% of range = Support Zone → bullish bounce potential Top 20% of range = Resistance Zone → bearish rejection potential Middle 60% = Neutral Zone → breakout/breakdown monitoring Signal Logic: At support + bullish candle = +0.7 (strong buy setup) At resistance + bearish candle = -0.7 (strong sell setup) Breaking above range highs = +0.5 (breakout confirmation) Breaking below range lows = -0.5 (breakdown confirmation) Consolidation within range = ±0.3 (weak directional bias) Signal Output: -1.0 to +1.0 (bearish structure to bullish structure) Confluence Voting System Each layer casts a vote (Long/Short/Neutral). The system requires minimum 2-of-3 agreement (configurable 1-3) before generating a signal: Examples: Entropy: Bullish, Momentum: Bullish, Structure: Neutral → Signal generated (2 long votes) Entropy: Bearish, Momentum: Neutral, Structure: Neutral → No signal (only 1 short vote) All three bullish → Signal generated with +5% probability bonus This is the key to quality. Single indicators give too many false signals. Triple confirmation dramatically improves accuracy. 📈 PROBABILITY CALCULATION: HOW CONFIDENCE IS MEASURED Base Probability: Raw_Prob = 50% + (Average_Signal_Strength × 25%) Then AGE applies strategic adjustments: Trend Alignment: Signal with trend: +4% Signal against strong trend: -8% Weak/no trend: no adjustment Regime Adaptation: Trending market (efficiency >50%, moderate vol): +3% Volatile market (vol ratio >1.5x): -5% Choppy market (low efficiency): -2% Volume Confirmation: Volume > 70% of 20-bar SMA: no change Volume below threshold: -3% Volatility State (DVS Ratio): High vol (>1.8x baseline): -4% (reduce confidence in chaos) Low vol (<0.7x baseline): -2% (markets can whipsaw in compression) Moderate elevated vol (1.0-1.3x): +2% (trending conditions emerging) Confluence Bonus: All 3 indicators agree: +5% 2 of 3 agree: +2% Strategy Gene Adjustment: Probability Boost gene: -10% to +10% Regime Adaptation gene: scales regime adjustments by 0-100% Final Probability: Clamped between 35% (minimum) and 88% (maximum) Why These Ranges? Below 35% = too uncertain, better not to signal Above 88% = unrealistic, creates overconfidence Sweet spot: 65-80% for quality entries 🔄 THE SHADOW PORTFOLIO SYSTEM: HOW STRATEGIES COMPETE Each active strategy maintains a virtual trading account that executes in parallel with real-time data: Shadow Trading Mechanics Entry Logic: Calculate signal direction, probability, and confluence using strategy's unique DNA Check if signal meets quality gate: Probability ≥ configured minimum threshold (default: 65%) Confluence ≥ configured minimum (default: 2 of 3) Direction is not zero (must be long or short, not neutral) Verify signal persistence: Base requirement: 2 bars (configurable 1-5) Adapts based on probability: high-prob signals (75%+) enter 1 bar faster, low-prob signals need 1 bar more Adjusts for regime: trending markets reduce persistence by 1, volatile markets add 1 Apply additional filters: Trend strength must exceed strategy's requirement gene Regime filter: if volatile market detected, probability must be 72%+ to override Volume confirmation required (volume > 70% of average) If all conditions met for required persistence bars, enter shadow position at current close price Position Management: Entry Price: Recorded at close of entry bar Stop Loss: ATR-based distance = ATR × ATR_Mult (gene) × Stop_Mult (gene) × DVS_Ratio Take Profit: ATR-based distance = ATR × ATR_Mult (gene) × Target_Mult (gene) × DVS_Ratio Position: +1 (long) or -1 (short), only one at a time per strategy Exit Logic: Check if price hit stop (on low) or target (on high) on current bar Record trade outcome in R-multiples (profit/loss normalized by ATR) Update performance metrics: Total trades counter incremented Wins counter (if profit > 0) Cumulative P&L updated Peak equity tracked (for drawdown calculation) Maximum drawdown from peak recorded Enter cooldown period (default: 8 bars, configurable 3-20) before next entry allowed Reset signal age counter to zero Walk-Forward Tracking: During position lifecycle, trades are categorized: Training Phase (first 250 bars): Trade counted toward training metrics Testing Phase (next 75 bars): Trade counted toward testing metrics (out-of-sample) Live Phase (after WFO period): Trade counted toward overall metrics Why Shadow Portfolios? No lookahead bias (uses only data available at the bar) Realistic execution simulation (entry on close, stop/target checks on high/low) Independent performance tracking for true fitness comparison Allows safe experimentation without risking capital Each strategy learns from its own experience 🏆 FITNESS SCORING: HOW STRATEGIES ARE RANKED Fitness is not just win rate. AGE uses a comprehensive multi-factor scoring system: Core Metrics (Minimum 3 trades required) Win Rate (30% of fitness): WinRate = Wins / TotalTrades Normalized directly (0.0-1.0 scale) Total P&L (30% of fitness): Normalized_PnL = (PnL + 300) / 600 Clamped 0.0-1.0. Assumes P&L range of -300R to +300R for normalization scale. Expectancy (25% of fitness): Expectancy = Total_PnL / Total_Trades Normalized_Expectancy = (Expectancy + 30) / 60 Clamped 0.0-1.0. Rewards consistency of profit per trade. Drawdown Control (15% of fitness): Normalized_DD = 1 - (Max_Drawdown / 15) Clamped 0.0-1.0. Penalizes strategies that suffer large equity retracements from peak. Sample Size Adjustment Quality Factor: <50 trades: 1.0 (full weight, small sample) 50-100 trades: 0.95 (slight penalty for medium sample) 100 trades: 0.85 (larger penalty for large sample) Why penalize more trades? Prevents strategies from gaming the system by taking hundreds of tiny trades to inflate statistics. Favors quality over quantity. Bonus Adjustments Walk-Forward Validation Bonus: if (WFO_Validated): Fitness += (WFO_Efficiency - 0.5) × 0.1 Strategies proven on out-of-sample data receive up to +10% fitness boost based on test/train efficiency ratio. Signal Efficiency Bonus (if diagnostics enabled): if (Signals_Evaluated > 10): Pass_Rate = Signals_Passed / Signals_Evaluated Fitness += (Pass_Rate - 0.1) × 0.05 Rewards strategies that generate high-quality signals passing the quality gate, not just profitable trades. Final Fitness: Clamped at 0.0 minimum (prevents negative fitness values) Result: Elite strategies typically achieve 0.50-0.75 fitness. Anything above 0.60 is excellent. Below 0.30 is prime candidate for culling. 🔬 WALK-FORWARD OPTIMIZATION: ANTI-OVERFITTING PROTECTION This is what separates AGE from curve-fitted garbage indicators. The Three-Phase Process Every new strategy undergoes a rigorous validation lifecycle: Phase 1 - Training Window (First 250 bars, configurable 100-500): Strategy trades normally via shadow portfolio All trades count toward training performance metrics System learns which gene combinations produce profitable patterns Tracks independently: Training_Trades, Training_Wins, Training_PnL Phase 2 - Testing Window (Next 75 bars, configurable 30-200): Strategy continues trading without any parameter changes Trades now count toward testing performance metrics (separate tracking) This is out-of-sample data - strategy has never seen these bars during "optimization" Tracks independently: Testing_Trades, Testing_Wins, Testing_PnL Phase 3 - Validation Check: Minimum_Trades = 5 (configurable 3-15) IF (Train_Trades >= Minimum AND Test_Trades >= Minimum): WR_Efficiency = Test_WinRate / Train_WinRate Expectancy_Efficiency = Test_Expectancy / Train_Expectancy WFO_Efficiency = (WR_Efficiency + Expectancy_Efficiency) / 2 IF (WFO_Efficiency >= 0.55): // configurable 0.3-0.9 Strategy.Validated = TRUE Strategy receives fitness bonus ELSE: Strategy receives 30% fitness penalty ELSE: Validation deferred (insufficient trades in one or both periods) What Validation Means Validated Strategy (Green "✓ VAL" in dashboard): Performed at least 55% as well on unseen data compared to training data Gets fitness bonus: +(efficiency - 0.5) × 0.1 Receives priority during tournament selection for breeding More likely to be chosen as active trading strategy Unvalidated Strategy (Orange "○ TRAIN" in dashboard): Failed to maintain performance on test data (likely curve-fitted to training period) Receives 30% fitness penalty (0.7x multiplier) Makes strategy prime candidate for culling Can still trade but with lower selection probability Insufficient Data (continues collecting): Hasn't completed both training and testing periods yet OR hasn't achieved minimum trade count in both periods Validation check deferred until requirements met Why 55% Efficiency Threshold? If a strategy earned 10R during training but only 5.5R during testing, it still proved an edge exists beyond random luck. Requiring 100% efficiency would be unrealistic - market conditions change between periods. But requiring >50% ensures the strategy didn't completely degrade on fresh data. The Protection: Strategies that work great on historical data but fail on new data are automatically identified and penalized. This prevents the population from being polluted by overfitted strategies that would fail in live trading. 🌊 DYNAMIC VOLATILITY SCALING (DVS): ADAPTIVE STOP/TARGET PLACEMENT AGE doesn't use fixed stop distances. It adapts to current volatility conditions in real-time. Four Volatility Measurement Methods 1. ATR Ratio (Simple Method): Current_Vol = ATR(14) / Close Baseline_Vol = SMA(Current_Vol, 100) Ratio = Current_Vol / Baseline_Vol Basic comparison of current ATR to 100-bar moving average baseline. 2. Parkinson (High-Low Range Based): For each bar: HL = log(High / Low) Parkinson_Vol = sqrt(Σ(HL²) / (4 × Period × log(2))) More stable than close-to-close volatility. Captures intraday range expansion without overnight gap noise. 3. Garman-Klass (OHLC Based): HL_Term = 0.5 × ² CO_Term = (2×log(2) - 1) × ² GK_Vol = sqrt(Σ(HL_Term - CO_Term) / Period) Most sophisticated estimator. Incorporates all four price points (open, high, low, close) plus gap information. 4. Ensemble Method (Default - Median of All Three): Ratio_1 = ATR_Current / ATR_Baseline Ratio_2 = Parkinson_Current / Parkinson_Baseline Ratio_3 = GK_Current / GK_Baseline DVS_Ratio = Median(Ratio_1, Ratio_2, Ratio_3) Why Ensemble? Takes median to avoid outliers and false spikes If ATR jumps but range-based methods stay calm, median prevents overreaction If one method fails, other two compensate Most robust approach across different market conditions Sensitivity Scaling Scaled_Ratio = (Raw_Ratio) ^ Sensitivity Sensitivity 0.3: Cube root - heavily dampens volatility impact Sensitivity 0.5: Square root - moderate dampening Sensitivity 0.7 (Default): Balanced response to volatility changes Sensitivity 1.0: Linear - full 1:1 volatility impact Sensitivity 1.5: Exponential - amplified response to volatility spikes Safety Clamps: Final DVS Ratio always clamped between 0.5x and 2.5x baseline to prevent extreme position sizing or stop placement errors. How DVS Affects Shadow Trading Every strategy's stop and target distances are multiplied by the current DVS ratio: Stop Loss Distance: Stop_Distance = ATR × ATR_Mult (gene) × Stop_Mult (gene) × DVS_Ratio Take Profit Distance: Target_Distance = ATR × ATR_Mult (gene) × Target_Mult (gene) × DVS_Ratio Example Scenario: ATR = 10 points Strategy's ATR_Mult gene = 2.5 Strategy's Stop_Mult gene = 1.5 Strategy's Target_Mult gene = 2.5 DVS_Ratio = 1.4 (40% above baseline volatility - market heating up) Stop = 10 × 2.5 × 1.5 × 1.4 = 52.5 points (vs. 37.5 in normal vol) Target = 10 × 2.5 × 2.5 × 1.4 = 87.5 points (vs. 62.5 in normal vol) Result: During volatility spikes: Stops automatically widen to avoid noise-based exits, targets extend for bigger moves During calm periods: Stops tighten for better risk/reward, targets compress for realistic profit-taking Strategies adapt risk management to match current market behavior 🧬 THE EVOLUTIONARY CYCLE: SPAWN, COMPETE, CULL Initialization (Bar 1) AGE begins with 4 seed strategies (if evolution enabled): Seed Strategy #0 (Balanced): All sensitivities at 1.0 (neutral) Zero probability boost Moderate trend requirement (0.4) Standard ATR/stop/target multiples (2.5/1.5/2.5) Mid-level regime adaptation (0.5) Seed Strategy #1 (Momentum-Focused): Lower entropy sensitivity (0.7), higher momentum (1.5) Slight probability boost (+0.03) Higher trend requirement (0.5) Tighter stops (1.3), wider targets (3.0) Seed Strategy #2 (Entropy-Driven): Higher entropy sensitivity (1.5), lower momentum (0.8) Slight probability penalty (-0.02) More trend tolerant (0.6) Wider stops (1.8), standard targets (2.5) Seed Strategy #3 (Structure-Based): Balanced entropy/momentum (0.8/0.9), high structure (1.4) Slight probability boost (+0.02) Lower trend requirement (0.35) Moderate risk parameters (1.6/2.8) All seeds start with WFO validation bypassed if WFO is disabled, or must validate if enabled. Spawning New Strategies Timing (Adaptive): Historical phase: Every 30 bars (configurable 10-100) Live phase: Every 200 bars (configurable 100-500) Automatically switches to live timing when barstate.isrealtime triggers Conditions: Current population < max population limit (default: 8, configurable 4-12) At least 2 active strategies exist (need parents) Available slot in population array Selection Process: Run tournament selection 3 times with different seeds Each tournament: randomly sample active strategies, pick highest fitness Best from 3 tournaments becomes Parent 1 Repeat independently for Parent 2 Ensures fit parents but maintains diversity Crossover Breeding: For each of 10 genes: Parent1_Fitness = fitness Parent2_Fitness = fitness Weight1 = Parent1_Fitness / (Parent1_Fitness + Parent2_Fitness) Gene1 = parent1's value Gene2 = parent2's value Child_Gene = Weight1 × Gene1 + (1 - Weight1) × Gene2 Fitness-weighted crossover ensures fitter parent contributes more genetic material. Mutation: For each gene in child: IF (random < mutation_rate): Gene_Range = GENE_MAX - GENE_MIN Noise = (random - 0.5) × 2 × mutation_strength × Gene_Range Mutated_Gene = Clamp(Child_Gene + Noise, GENE_MIN, GENE_MAX) Historical mutation rate: 20% (aggressive exploration) Live mutation rate: 8% (conservative stability) Mutation strength: 12% of gene range (configurable 5-25%) Initialization of New Strategy: Unique ID assigned (total_spawned counter) Parent ID recorded Generation = max(parent generations) + 1 Birth bar recorded (for age tracking) All performance metrics zeroed Shadow portfolio reset WFO validation flag set to false (must prove itself) Result: New strategy with hybrid DNA enters population, begins trading in next bar. Competition (Every Bar) All active strategies: Calculate their signal based on unique DNA Check quality gate with their thresholds Manage shadow positions (entries/exits) Update performance metrics Recalculate fitness score Track WFO validation progress Strategies compete indirectly through fitness ranking - no direct interaction. Culling Weak Strategies Timing (Adaptive): Historical phase: Every 60 bars (configurable 20-200, should be 2x spawn interval) Live phase: Every 400 bars (configurable 200-1000, should be 2x spawn interval) Minimum Adaptation Score (MAS): Initial MAS = 0.10 MAS decays: MAS × 0.995 every cull cycle Minimum MAS = 0.03 (floor) MAS represents the "survival threshold" - strategies below this fitness level are vulnerable. Culling Conditions (ALL must be true): Population > minimum population (default: 3, configurable 2-4) At least one strategy has fitness < MAS Strategy's age > culling interval (prevents premature culling of new strategies) Strategy is not in top N elite (default: 2, configurable 1-3) Culling Process: Find worst strategy: For each active strategy: IF (age > cull_interval): Fitness = base_fitness IF (not WFO_validated AND WFO_enabled): Fitness × 0.7 // 30% penalty for unvalidated IF (Fitness < MAS AND Fitness < worst_fitness_found): worst_strategy = this_strategy worst_fitness = Fitness IF (worst_strategy found): Count elite strategies with fitness > worst_fitness IF (elite_count >= elite_preservation_count): Deactivate worst_strategy (set active flag = false) Increment total_culled counter Elite Protection: Even if a strategy's fitness falls below MAS, it survives if fewer than N strategies are better. This prevents culling when population is generally weak. Result: Weak strategies removed from population, freeing slots for new spawns. Gene pool improves over time. Selection for Display (Every Bar) AGE chooses one strategy to display signals: Best fitness = -1 Selected = none For each active strategy: Fitness = base_fitness IF (WFO_validated): Fitness × 1.3 // 30% bonus for validated strategies IF (Fitness > best_fitness): best_fitness = Fitness selected_strategy = this_strategy Display selected strategy's signals on chart Result: Only the highest-fitness (optionally validated-boosted) strategy's signals appear as chart markers. Other strategies trade invisibly in shadow portfolios. 🎨 PREMIUM VISUALIZATION SYSTEM AGE includes sophisticated visual feedback that standard indicators lack: 1. Gradient Probability Cloud (Optional, Default: ON) Multi-layer gradient showing signal buildup 2-3 bars before entry: Activation Conditions: Signal persistence > 0 (same directional signal held for multiple bars) Signal probability ≥ minimum threshold (65% by default) Signal hasn't yet executed (still in "forming" state) Visual Construction: 7 gradient layers by default (configurable 3-15) Each layer is a line-fill pair (top line, bottom line, filled between) Layer spacing: 0.3 to 1.0 × ATR above/below price Outer layers = faint, inner layers = bright Color transitions from base to intense based on layer position Transparency scales with probability (high prob = more opaque) Color Selection: Long signals: Gradient from theme.gradient_bull_mid to theme.gradient_bull_strong Short signals: Gradient from theme.gradient_bear_mid to theme.gradient_bear_strong Base transparency: 92%, reduces by up to 8% for high-probability setups Dynamic Behavior: Cloud grows/shrinks as signal persistence increases/decreases Redraws every bar while signal is forming Disappears when signal executes or invalidates Performance Note: Computationally expensive due to linefill objects. Disable or reduce layers if chart performance degrades. 2. Population Fitness Ribbon (Optional, Default: ON) Histogram showing fitness distribution across active strategies: Activation: Only draws on last bar (barstate.islast) to avoid historical clutter Visual Construction: 10 histogram layers by default (configurable 5-20) Plots 50 bars back from current bar Positioned below price at: lowest_low(100) - 1.5×ATR (doesn't interfere with price action) Each layer represents a fitness threshold (evenly spaced min to max fitness) Layer Logic: For layer_num from 0 to ribbon_layers: Fitness_threshold = min_fitness + (max_fitness - min_fitness) × (layer / layers) Count strategies with fitness ≥ threshold Height = ATR × 0.15 × (count / total_active) Y_position = base_level + ATR × 0.2 × layer Color = Gradient from weak to strong based on layer position Line_width = Scaled by height (taller = thicker) Visual Feedback: Tall, bright ribbon = healthy population, many fit strategies at high fitness levels Short, dim ribbon = weak population, few strategies achieving good fitness Ribbon compression (layers close together) = population converging to similar fitness Ribbon spread = diverse fitness range, active selection pressure Use Case: Quick visual health check without opening dashboard. Ribbon growing upward over time = population improving. 3. Confidence Halo (Optional, Default: ON) Circular polyline around entry signals showing probability strength: Activation: Draws when new position opens (shadow_position changes from 0 to ±1) Visual Construction: 20-segment polyline forming approximate circle Center: Low - 0.5×ATR (long) or High + 0.5×ATR (short) Radius: 0.3×ATR (low confidence) to 1.0×ATR (elite confidence) Scales with: (probability - min_probability) / (1.0 - min_probability) Color Coding: Elite (85%+): Cyan (theme.conf_elite), large radius, minimal transparency (40%) Strong (75-85%): Strong green (theme.conf_strong), medium radius, moderate transparency (50%) Good (65-75%): Good green (theme.conf_good), smaller radius, more transparent (60%) Moderate (<65%): Moderate green (theme.conf_moderate), tiny radius, very transparent (70%) Technical Detail: Uses chart.point array with index-based positioning 5-bar horizontal spread for circular appearance (±5 bars from entry) Curved=false (Pine Script polyline limitation) Fill color matches line color but more transparent (88% vs line's transparency) Purpose: Instant visual probability assessment. No need to check dashboard - halo size/brightness tells the story. 4. Evolution Event Markers (Optional, Default: ON) Visual indicators of genetic algorithm activity: Spawn Markers (Diamond, Cyan): Plots when total_spawned increases on current bar Location: bottom of chart (location.bottom) Color: theme.spawn_marker (cyan/bright blue) Size: tiny Indicates new strategy just entered population Cull Markers (X-Cross, Red): Plots when total_culled increases on current bar Location: bottom of chart (location.bottom) Color: theme.cull_marker (red/pink) Size: tiny Indicates weak strategy just removed from population What It Tells You: Frequent spawning early = population building, active exploration Frequent culling early = high selection pressure, weak strategies dying fast Balanced spawn/cull = healthy evolutionary churn No markers for long periods = stable population (evolution plateaued or optimal genes found) 5. Entry/Exit Markers Clear visual signals for selected strategy's trades: Long Entry (Triangle Up, Green): Plots when selected strategy opens long position (position changes 0 → +1) Location: below bar (location.belowbar) Color: theme.long_primary (green/cyan depending on theme) Transparency: Scales with probability: Elite (85%+): 0% (fully opaque) Strong (75-85%): 10% Good (65-75%): 20% Acceptable (55-65%): 35% Size: small Short Entry (Triangle Down, Red): Plots when selected strategy opens short position (position changes 0 → -1) Location: above bar (location.abovebar) Color: theme.short_primary (red/pink depending on theme) Transparency: Same scaling as long entries Size: small Exit (X-Cross, Orange): Plots when selected strategy closes position (position changes ±1 → 0) Location: absolute (at actual exit price if stop/target lines enabled) Color: theme.exit_color (orange/yellow depending on theme) Transparency: 0% (fully opaque) Size: tiny Result: Clean, probability-scaled markers that don't clutter chart but convey essential information. 6. Stop Loss & Take Profit Lines (Optional, Default: ON) Visual representation of shadow portfolio risk levels: Stop Loss Line: Plots when selected strategy has active position Level: shadow_stop value from selected strategy Color: theme.short_primary with 60% transparency (red/pink, subtle) Width: 2 Style: plot.style_linebr (breaks when no position) Take Profit Line: Plots when selected strategy has active position Level: shadow_target value from selected strategy Color: theme.long_primary with 60% transparency (green, subtle) Width: 2 Style: plot.style_linebr (breaks when no position) Purpose: Shows where shadow portfolio would exit for stop/target Helps visualize strategy's risk/reward ratio Useful for manual traders to set similar levels Disable for cleaner chart (recommended for presentations) 7. Dynamic Trend EMA Gradient-colored trend line that visualizes trend strength: Calculation: EMA(close, trend_length) - default 50 period (configurable 20-100) Slope calculated over 10 bars: (current_ema - ema ) / ema × 100 Color Logic: Trend_direction: Slope > 0.1% = Bullish (1) Slope < -0.1% = Bearish (-1) Otherwise = Neutral (0) Trend_strength = abs(slope) Color = Gradient between: - Neutral color (gray/purple) - Strong bullish (bright green) if direction = 1 - Strong bearish (bright red) if direction = -1 Gradient factor = trend_strength (0 to 1+ scale) Visual Behavior: Faint gray/purple = weak/no trend (choppy conditions) Light green/red = emerging trend (low strength) Bright green/red = strong trend (high conviction) Color intensity = trend strength magnitude Transparency: 50% (subtle, doesn't overpower price action) Purpose: Subconscious awareness of trend state without checking dashboard or indicators. 8. Regime Background Tinting (Subtle) Ultra-low opacity background color indicating detected market regime: Regime Detection: Efficiency = directional_movement / total_range (over trend_length bars) Vol_ratio = current_volatility / average_volatility IF (efficiency > 0.5 AND vol_ratio < 1.3): Regime = Trending (1) ELSE IF (vol_ratio > 1.5): Regime = Volatile (2) ELSE: Regime = Choppy (0) Background Colors: Trending: theme.regime_trending (dark green, 92-93% transparency) Volatile: theme.regime_volatile (dark red, 93% transparency) Choppy: No tint (normal background) Purpose: Subliminal regime awareness Helps explain why signals are/aren't generating Trending = ideal conditions for AGE Volatile = fewer signals, higher thresholds applied Choppy = mixed signals, lower confidence Important: Extremely subtle by design. Not meant to be obvious, just subconscious context. 📊 ENHANCED DASHBOARD Comprehensive real-time metrics in single organized panel (top-right position): Dashboard Structure (5 columns × 14 rows) Header Row: Column 0: "🧬 AGE PRO" + phase indicator (🔴 LIVE or ⏪ HIST) Column 1: "POPULATION" Column 2: "PERFORMANCE" Column 3: "CURRENT SIGNAL" Column 4: "ACTIVE STRATEGY" Column 0: Market State Regime (📈 TREND / 🌊 CHAOS / ➖ CHOP) DVS Ratio (current volatility scaling factor, format: #.##) Trend Direction (▲ BULL / ▼ BEAR / ➖ FLAT with color coding) Trend Strength (0-100 scale, format: #.##) Column 1: Population Metrics Active strategies (count / max_population) Validated strategies (WFO passed / active total) Current generation number Total spawned (all-time strategy births) Total culled (all-time strategy deaths) Column 2: Aggregate Performance Total trades across all active strategies Aggregate win rate (%) - color-coded: Green (>55%) Orange (45-55%) Red (<45%) Total P&L in R-multiples - color-coded by positive/negative Best fitness score in population (format: #.###) MAS - Minimum Adaptation Score (cull threshold, format: #.###) Column 3: Current Signal Status Status indicator: "▲ LONG" (green) if selected strategy in long position "▼ SHORT" (red) if selected strategy in short position "⏳ FORMING" (orange) if signal persisting but not yet executed "○ WAITING" (gray) if no active signal Confidence percentage (0-100%, format: #.#%) Quality assessment: "🔥 ELITE" (cyan) for 85%+ probability "✓ STRONG" (bright green) for 75-85% "○ GOOD" (green) for 65-75% "- LOW" (dim) for <65% Confluence score (X/3 format) Signal age: "X bars" if signal forming "IN TRADE" if position active "---" if no signal Column 4: Selected Strategy Details Strategy ID number (#X format) Validation status: "✓ VAL" (green) if WFO validated "○ TRAIN" (orange) if still in training/testing phase Generation number (GX format) Personal fitness score (format: #.### with color coding) Trade count P&L and win rate (format: #.#R (##%) with color coding) Color Scheme: Panel background: theme.panel_bg (dark, low opacity) Panel headers: theme.panel_header (slightly lighter) Primary text: theme.text_primary (bright, high contrast) Secondary text: theme.text_secondary (dim, lower contrast) Positive metrics: theme.metric_positive (green) Warning metrics: theme.metric_warning (orange) Negative metrics: theme.metric_negative (red) Special markers: theme.validated_marker, theme.spawn_marker Update Frequency: Only on barstate.islast (current bar) to minimize CPU usage Purpose: Quick overview of entire system state No need to check multiple indicators Trading decisions informed by population health, regime state, and signal quality Transparency into what AGE is thinking 🔍 DIAGNOSTICS PANEL (Optional, Default: OFF) Detailed signal quality tracking for optimization and debugging: Panel Structure (3 columns × 8 rows) Position: Bottom-right corner (doesn't interfere with main dashboard) Header Row: Column 0: "🔍 DIAGNOSTICS" Column 1: "COUNT" Column 2: "%" Metrics Tracked (for selected strategy only): Total Evaluated: Every signal that passed initial calculation (direction ≠ 0) Represents total opportunities considered ✓ Passed: Signals that passed quality gate and executed Green color coding Percentage of evaluated signals Rejection Breakdown: ⨯ Probability: Rejected because probability < minimum threshold Most common rejection reason typically ⨯ Confluence: Rejected because confluence < minimum required (e.g., only 1 of 3 indicators agreed) ⨯ Trend: Rejected because signal opposed strong trend Indicates counter-trend protection working ⨯ Regime: Rejected because volatile regime detected and probability wasn't high enough to override Shows regime filter in action ⨯ Volume: Rejected because volume < 70% of 20-bar average Indicates volume confirmation requirement Color Coding: Passed count: Green (success metric) Rejection counts: Red (failure metrics) Percentages: Gray (neutral, informational) Performance Cost: Slight CPU overhead for tracking counters. Disable when not actively optimizing settings. How to Use Diagnostics Scenario 1: Too Few Signals Evaluated: 200 Passed: 10 (5%) ⨯ Probability: 120 (60%) ⨯ Confluence: 40 (20%) ⨯ Others: 30 (15%) Diagnosis: Probability threshold too high for this strategy's DNA. Solution: Lower min probability from 65% to 60%, or allow strategy more time to evolve better DNA. Scenario 2: Too Many False Signals Evaluated: 200 Passed: 80 (40%) Strategy win rate: 45% Diagnosis: Quality gate too loose, letting low-quality signals through. Solution: Raise min probability to 70%, or increase min confluence to 3 (all indicators must agree). Scenario 3: Regime-Specific Issues ⨯ Regime: 90 (45% of rejections) Diagnosis: Frequent volatile regime detection blocking otherwise good signals. Solution: Either accept fewer trades during chaos (recommended), or disable regime filter if you want signals regardless of market state. Optimization Workflow: Enable diagnostics Run 200+ bars Analyze rejection patterns Adjust settings based on data Re-run and compare pass rate Disable diagnostics when satisfied ⚙️ CONFIGURATION GUIDE 🧬 Evolution Engine Settings Enable AGE Evolution (Default: ON): ON: Full genetic algorithm (recommended for best results) OFF: Uses only 4 seed strategies, no spawning/culling (static population for comparison testing) Max Population (4-12, Default: 8): Higher = more diversity, more exploration, slower performance Lower = faster computation, less exploration, risk of premature convergence Sweet spot: 6-8 for most use cases 4 = minimum for meaningful evolution 12 = maximum before diminishing returns Min Population (2-4, Default: 3): Safety floor - system never culls below this count Prevents population extinction during harsh selection Should be at least half of max population Elite Preservation (1-3, Default: 2): Top N performers completely immune to culling Ensures best genes always survive 1 = minimal protection, aggressive selection 2 = balanced (recommended) 3 = conservative, slower gene pool turnover Historical: Spawn Interval (10-100, Default: 30): Bars between spawning new strategies during historical data Lower = faster evolution, more exploration Higher = slower evolution, more evaluation time per strategy 30 bars = ~1-2 hours on 15min chart Historical: Cull Interval (20-200, Default: 60): Bars between culling weak strategies during historical data Should be 2x spawn interval for balanced churn Lower = aggressive selection pressure Higher = patient evaluation Live: Spawn Interval (100-500, Default: 200): Bars between spawning during live trading Much slower than historical for stability Prevents population chaos during live trading 200 bars = ~1.5 trading days on 15min chart Live: Cull Interval (200-1000, Default: 400): Bars between culling during live trading Should be 2x live spawn interval Conservative removal during live trading Historical: Mutation Rate (0.05-0.40, Default: 0.20): Probability each gene mutates during breeding (20% = 2 out of 10 genes on average) Higher = more exploration, slower convergence Lower = more exploitation, faster convergence but risk of local optima 20% balances exploration vs exploitation Live: Mutation Rate (0.02-0.20, Default: 0.08): Mutation rate during live trading Much lower for stability (don't want population to suddenly degrade) 8% = mostly inherits parent genes with small tweaks Mutation Strength (0.05-0.25, Default: 0.12): How much genes change when mutated (% of gene's total range) 0.05 = tiny nudges (fine-tuning) 0.12 = moderate jumps (recommended) 0.25 = large leaps (aggressive exploration) Example: If gene range is 0.5-2.0, 12% strength = ±0.18 possible change 📈 Signal Quality Settings Min Signal Probability (0.55-0.80, Default: 0.65): Quality gate threshold - signals below this never generate 0.55-0.60 = More signals, accept lower confidence (higher risk) 0.65 = Institutional-grade balance (recommended) 0.70-0.75 = Fewer but higher-quality signals (conservative) 0.80+ = Very selective, very few signals (ultra-conservative) Min Confluence Score (1-3, Default: 2): Required indicator agreement before signal generates 1 = Any single indicator can trigger (not recommended - too many false signals) 2 = Requires 2 of 3 indicators agree (RECOMMENDED for balance) 3 = All 3 must agree (very selective, few signals, high quality) Base Persistence Bars (1-5, Default: 2): Base bars signal must persist before entry System adapts automatically: High probability signals (75%+) enter 1 bar faster Low probability signals (<68%) need 1 bar more Trending regime: -1 bar (faster entries) Volatile regime: +1 bar (more confirmation) 1 = Immediate entry after quality gate (responsive but prone to whipsaw) 2 = Balanced confirmation (recommended) 3-5 = Patient confirmation (slower but more reliable) Cooldown After Trade (3-20, Default: 8): Bars to wait after exit before next entry allowed Prevents overtrading and revenge trading 3 = Minimal cooldown (active trading) 8 = Balanced (recommended) 15-20 = Conservative (position trading) Entropy Length (10-50, Default: 20): Lookback period for market order/disorder calculation Lower = more responsive to regime changes (noisy) Higher = more stable regime detection (laggy) 20 = works across most timeframes Momentum Length (5-30, Default: 14): Period for RSI/ROC calculations 14 = standard (RSI default) Lower = more signals, less reliable Higher = fewer signals, more reliable Structure Length (20-100, Default: 50): Lookback for support/resistance swing range 20 = short-term swings (day trading) 50 = medium-term structure (recommended) 100 = major structure (position trading) Trend EMA Length (20-100, Default: 50): EMA period for trend detection and direction bias 20 = short-term trend (responsive) 50 = medium-term trend (recommended) 100 = long-term trend (position trading) ATR Period (5-30, Default: 14): Period for volatility measurement 14 = standard ATR Lower = more responsive to vol changes Higher = smoother vol calculation 📊 Volatility Scaling (DVS) Settings Enable DVS (Default: ON): Dynamic volatility scaling for adaptive stop/target placement Highly recommended to leave ON OFF only for testing fixed-distance stops DVS Method (Default: Ensemble): ATR Ratio: Simple, fast, single-method (good for beginners) Parkinson: High-low range based (good for intraday) Garman-Klass: OHLC based (sophisticated, considers gaps) Ensemble: Median of all three (RECOMMENDED - most robust) DVS Memory (20-200, Default: 100): Lookback for baseline volatility comparison 20 = very responsive to vol changes (can overreact) 100 = balanced adaptation (recommended) 200 = slow, stable baseline (minimizes false vol signals) DVS Sensitivity (0.3-1.5, Default: 0.7): How much volatility affects scaling (power-law exponent) 0.3 = Conservative, heavily dampens vol impact (cube root) 0.5 = Moderate dampening (square root) 0.7 = Balanced response (recommended) 1.0 = Linear, full 1:1 vol response 1.5 = Aggressive, amplified response (exponential) 🔬 Walk-Forward Optimization Settings Enable WFO (Default: ON): Out-of-sample validation to prevent overfitting Highly recommended to leave ON OFF only for testing or if you want unvalidated strategies Training Window (100-500, Default: 250): Bars for in-sample optimization 100 = fast validation, less data (risky) 250 = balanced (recommended) - about 1-2 months on daily, 1-2 weeks on 15min 500 = patient validation, more data (conservative) Testing Window (30-200, Default: 75): Bars for out-of-sample validation Should be ~30% of training window 30 = minimal test (fast validation) 75 = balanced (recommended) 200 = extensive test (very conservative) Min Trades for Validation (3-15, Default: 5): Required trades in BOTH training AND testing periods 3 = minimal sample (risky, fast validation) 5 = balanced (recommended) 10+ = conservative (slow validation, high confidence) WFO Efficiency Threshold (0.3-0.9, Default: 0.55): Minimum test/train performance ratio required 0.30 = Very loose (test must be 30% as good as training) 0.55 = Balanced (recommended) - test must be 55% as good 0.70+ = Strict (test must closely match training) Higher = fewer validated strategies, lower risk of overfitting 🎨 Premium Visuals Settings Visual Theme: Neon Genesis: Cyberpunk aesthetic (cyan/magenta/purple) Carbon Fiber: Industrial look (blue/red/gray) Quantum Blue: Quantum computing (blue/purple/pink) Aurora: Northern lights (teal/orange/purple) ⚡ Gradient Probability Cloud (Default: ON): Multi-layer gradient showing signal buildup Turn OFF if chart lags or for cleaner look Cloud Gradient Layers (3-15, Default: 7): More layers = smoother gradient, more CPU intensive Fewer layers = faster, blockier appearance 🎗️ Population Fitness Ribbon (Default: ON): Histogram showing fitness distribution Turn OFF for cleaner chart Ribbon Layers (5-20, Default: 10): More layers = finer fitness detail Fewer layers = simpler histogram ⭕ Signal Confidence Halo (Default: ON): Circular indicator around entry signals Size/brightness scales with probability Minimal performance cost 🔬 Evolution Event Markers (Default: ON): Diamond (spawn) and X (cull) markers Shows genetic algorithm activity Minimal performance cost 🎯 Stop/Target Lines (Default: ON): Shows shadow portfolio stop/target levels Turn OFF for cleaner chart (recommended for screenshots/presentations) 📊 Enhanced Dashboard (Default: ON): Comprehensive metrics panel Should stay ON unless you want zero overlays 🔍 Diagnostics Panel (Default: OFF): Detailed signal rejection tracking Turn ON when optimizing settings Turn OFF during normal use (slight performance cost) 📈 USAGE WORKFLOW - HOW TO USE THIS INDICATOR Phase 1: Initial Setup & Learning Add AGE to your chart Recommended timeframes: 15min, 30min, 1H (best signal-to-noise ratio) Works on: 5min (day trading), 4H (swing trading), Daily (position trading) Load 1000+ bars for sufficient evolution history Let the population evolve (100+ bars minimum) First 50 bars: Random exploration, poor results expected Bars 50-150: Population converging, fitness improving Bars 150+: Stable performance, validated strategies emerging Watch the dashboard metrics Population should grow toward max capacity Generation number should advance regularly Validated strategies counter should increase Best fitness should trend upward toward 0.50-0.70 range Observe evolution markers Diamond markers (cyan) = new strategies spawning X markers (red) = weak strategies being culled Frequent early activity = healthy evolution Activity slowing = population stabilizing Be patient. Evolution takes time. Don't judge performance before 150+ bars. Phase 2: Signal Observation Watch signals form Gradient cloud builds up 2-3 bars before entry Cloud brightness = probability strength Cloud thickness = signal persistence Check signal quality Look at confidence halo size when entry marker appears Large bright halo = elite setup (85%+) Medium halo = strong setup (75-85%) Small halo = good setup (65-75%) Verify market conditions Check trend EMA color (green = uptrend, red = downtrend, gray = choppy) Check background tint (green = trending, red = volatile, clear = choppy) Trending background + aligned signal = ideal conditions Review dashboard signal status Current Signal column shows: Status (Long/Short/Forming/Waiting) Confidence % (actual probability value) Quality assessment (Elite/Strong/Good) Confluence score (2/3 or 3/3 preferred) Only signals meeting ALL quality gates appear on chart. If you're not seeing signals, population is either still learning or market conditions aren't suitable. Phase 3: Manual Trading Execution When Long Signal Fires: Verify confidence level (dashboard or halo size) Confirm trend alignment (EMA sloping up, green color) Check regime (preferably trending or choppy, avoid volatile) Enter long manually on your broker platform Set stop loss at displayed stop line level (if lines enabled), or use your own risk management Set take profit at displayed target line level, or trail manually Monitor position - exit if X marker appears (signal reversal) When Short Signal Fires: Same verification process Confirm downtrend (EMA sloping down, red color) Enter short manually Use displayed stop/target levels or your own AGE tells you WHEN and HOW CONFIDENT. You decide WHETHER and HOW MUCH. Phase 4: Set Up Alerts (Never Miss a Signal) Right-click on indicator name in legend Select "Add Alert" Choose condition: "AGE Long" = Long entry signal fired "AGE Short" = Short entry signal fired "AGE Exit" = Position reversal/exit signal Set notification method: Sound alert (popup on chart) Email notification Webhook to phone/trading platform Mobile app push notification Name the alert (e.g., "AGE BTCUSD 15min Long") Save alert Recommended: Set alerts for both long and short, enable mobile push notifications. You'll get alerted in real-time even if not watching charts. Phase 5: Monitor Population Health Weekly Review: Check dashboard Population column: Active count should be near max (6-8 of 8) Validated count should be >50% of active Generation should be advancing (1-2 per week typical) Check dashboard Performance column: Aggregate win rate should be >50% (target: 55-65%) Total P&L should be positive (may fluctuate) Best fitness should be >0.50 (target: 0.55-0.70) MAS should be declining slowly (normal adaptation) Check Active Strategy column: Selected strategy should be validated (✓ VAL) Personal fitness should match best fitness Trade count should be accumulating Win rate should be >50% Warning Signs: Zero validated strategies after 300+ bars = settings too strict or market unsuitable Best fitness stuck <0.30 = population struggling, consider parameter adjustment No spawning/culling for 200+ bars = evolution stalled (may be optimal or need reset) Aggregate win rate <45% sustained = system not working on this instrument/timeframe Health Check Pass: 50%+ strategies validated Best fitness >0.50 Aggregate win rate >52% Regular spawn/cull activity Selected strategy validated Phase 6: Optimization (If Needed) Enable Diagnostics Panel (bottom-right) for data-driven tuning: Problem: Too Few Signals Evaluated: 200 Passed: 8 (4%) ⨯ Probability: 140 (70%) Solutions: Lower min probability: 65% → 60% or 55% Reduce min confluence: 2 → 1 Lower base persistence: 2 → 1 Increase mutation rate temporarily to explore new genes Check if regime filter is blocking signals (⨯ Regime high?) Problem: Too Many False Signals Evaluated: 200 Passed: 90 (45%) Win rate: 42% Solutions: Raise min probability: 65% → 70% or 75% Increase min confluence: 2 → 3 Raise base persistence: 2 → 3 Enable WFO if disabled (validates strategies before use) Check if volume filter is being ignored (⨯ Volume low?) Problem: Counter-Trend Losses ⨯ Trend: 5 (only 5% rejected) Losses often occur against trend Solutions: System should already filter trend opposition May need stronger trend requirement Consider only taking signals aligned with higher timeframe trend Use longer trend EMA (50 → 100) Problem: Volatile Market Whipsaws ⨯ Regime: 100 (50% rejected by volatile regime) Still getting stopped out frequently Solutions: System is correctly blocking volatile signals Losses happening because vol filter isn't strict enough Consider not trading during volatile periods (respect the regime) Or disable regime filter and accept higher risk Optimization Workflow: Enable diagnostics Run 200+ bars with current settings Analyze rejection patterns and win rate Make ONE change at a time (scientific method) Re-run 200+ bars and compare results Keep change if improvement, revert if worse Disable diagnostics when satisfied Never change multiple parameters at once - you won't know what worked. Phase 7: Multi-Instrument Deployment AGE learns independently on each chart: Recommended Strategy: Deploy AGE on 3-5 different instruments Different asset classes ideal (e.g., ES futures, EURUSD, BTCUSD, SPY, Gold) Each learns optimal strategies for that instrument's personality Take signals from all 5 charts Natural diversification reduces overall risk Why This Works: When one market is choppy, others may be trending Different instruments respond to different news/catalysts Portfolio-level win rate more stable than single-instrument Evolution explores different parameter spaces on each chart Setup: Same settings across all charts (or customize if preferred) Set alerts for all Take every validated signal across all instruments Position size based on total account (don't overleverage any single signal) ⚠️ REALISTIC EXPECTATIONS - CRITICAL READING What AGE Can Do ✅ Generate probability-weighted signals using genetic algorithms ✅ Evolve strategies in real-time through natural selection ✅ Validate strategies on out-of-sample data (walk-forward optimization) ✅ Adapt to changing market conditions automatically over time ✅ Provide comprehensive metrics on population health and signal quality ✅ Work on any instrument, any timeframe, any broker ✅ Improve over time as weak strategies are culled and fit strategies breed What AGE Cannot Do ❌ Win every trade (typical win rate: 55-65% at best) ❌ Predict the future with certainty (markets are probabilistic, not deterministic) ❌ Work perfectly from bar 1 (needs 100-150 bars to learn and stabilize) ❌ Guarantee profits under all market conditions ❌ Replace your trading discipline and risk management ❌ Execute trades automatically (this is an indicator, not a strategy) ❌ Prevent all losses (drawdowns are normal and expected) ❌ Adapt instantly to regime changes (re-learning takes 50-100 bars) Performance Realities Typical Performance After Evolution Stabilizes (150+ bars): Win Rate: 55-65% (excellent for trend-following systems) Profit Factor: 1.5-2.5 (realistic for validated strategies) Signal Frequency: 5-15 signals per 100 bars (quality over quantity) Drawdown Periods: 20-40% of time in equity retracement (normal trading reality) Max Consecutive Losses: 5-8 losses possible even with 60% win rate (probability says this is normal) Evolution Timeline: Bars 0-50: Random exploration, learning phase - poor results expected, don't judge yet Bars 50-150: Population converging, fitness climbing - results improving Bars 150-300: Stable performance, most strategies validated - consistent results Bars 300+: Mature population, optimal genes dominant - best results Market Condition Dependency: Trending Markets: AGE excels - clear directional moves, high-probability setups Choppy Markets: AGE struggles - fewer signals generated, lower win rate Volatile Markets: AGE cautious - higher rejection rate, wider stops, fewer trades Market Regime Changes: When market shifts from trending to choppy overnight Validated strategies can become temporarily invalidated AGE will adapt through evolution, but not instantly Expect 50-100 bar re-learning period after major regime shifts Fitness may temporarily drop then recover This is NOT a holy grail. It's a sophisticated signal generator that learns and adapts using genetic algorithms. Your success depends on: Patience during learning periods (don't abandon after 3 losses) Proper position sizing (risk 0.5-2% per trade, not 10%) Following signals consistently (cherry-picking defeats statistical edge) Not abandoning system prematurely (give it 200+ bars minimum) Understanding probability (60% win rate means 40% of trades WILL lose) Respecting market conditions (trending = trade more, choppy = trade less) Managing emotions (AGE is emotionless, you need to be too) Expected Drawdowns: Single-strategy max DD: 10-20% of equity (normal) Portfolio across multiple instruments: 5-15% (diversification helps) Losing streaks: 3-5 consecutive losses expected periodically No indicator eliminates risk. AGE manages risk through: Quality gates (rejecting low-probability signals) Confluence requirements (multi-indicator confirmation) Persistence requirements (no knee-jerk reactions) Regime awareness (reduced trading in chaos) Walk-forward validation (preventing overfitting) But it cannot prevent all losses. That's inherent to trading. 🔧 TECHNICAL SPECIFICATIONS Platform: TradingView Pine Script v5 Indicator Type: Overlay indicator (plots on price chart) Execution Type: Signals only - no automatic order placement Computational Load: Moderate to High (genetic algorithms + shadow portfolios) 8 strategies × shadow portfolio simulation = significant computation Premium visuals add additional load (gradient cloud, fitness ribbon) TradingView Resource Limits (Built-in Caps): Max Bars Back: 500 (sufficient for WFO and evolution) Max Labels: 100 (plenty for entry/exit markers) Max Lines: 150 (adequate for stop/target lines) Max Boxes: 50 (not heavily used) Max Polylines: 100 (confidence halos) Recommended Chart Settings: Timeframe: 15min to 1H (optimal signal/noise balance) 5min: Works but noisier, more signals 4H/Daily: Works but fewer signals Bars Loaded: 1000+ (ensures sufficient evolution history) Replay Mode: Excellent for testing without risk Performance Optimization Tips: Disable gradient cloud if chart lags (most CPU intensive visual) Disable fitness ribbon if still laggy Reduce cloud layers from 7 to 3 Reduce ribbon layers from 10 to 5 Turn off diagnostics panel unless actively tuning Close other heavy indicators to free resources Browser/Platform Compatibility: Works on all modern browsers (Chrome, Firefox, Safari, Edge) Mobile app supported (full functionality on phone/tablet) Desktop app supported (best performance) Web version supported (may be slower on older computers) Data Requirements: Real-time or delayed data both work No special data feeds required Works with TradingView's standard data Historical + live data seamlessly integrated 🎓 THEORETICAL FOUNDATIONS AGE synthesizes advanced concepts from multiple disciplines: Evolutionary Computation Genetic Algorithms (Holland, 1975): Population-based optimization through natural selection metaphor Tournament Selection: Fitness-based parent selection with diversity preservation Crossover Operators: Fitness-weighted gene recombination from two parents Mutation Operators: Random gene perturbation for exploration of new parameter space Elitism: Preservation of top N performers to prevent loss of best solutions Adaptive Parameters: Different mutation rates for historical vs. live phases Technical Analysis Support/Resistance: Price structure within swing ranges Trend Following: EMA-based directional bias Momentum Analysis: RSI, ROC, MACD composite indicators Volatility Analysis: ATR-based risk scaling Volume Confirmation: Trade activity validation Information Theory Shannon Entropy (1948): Quantification of market order vs. disorder Signal-to-Noise Ratio: Directional information vs. random walk Information Content: How much "information" a price move contains Statistics & Probability Walk-Forward Analysis: Rolling in-sample/out-of-sample optimization Out-of-Sample Validation: Testing on unseen data to prevent overfitting Monte Carlo Principles: Shadow portfolio simulation with realistic execution Expectancy Theory: Win rate × avg win - loss rate × avg loss Probability Distributions: Signal confidence quantification Risk Management ATR-Based Stops: Volatility-normalized risk per trade Volatility Regime Detection: Market state classification (trending/choppy/volatile) Drawdown Control: Peak-to-trough equity measurement R-Multiple Normalization: Performance measurement in risk units Machine Learning Concepts Online Learning: Continuous adaptation as new data arrives Fitness Functions: Multi-objective optimization (win rate + expectancy + drawdown) Exploration vs. Exploitation: Balance between trying new strategies and using proven ones Overfitting Prevention: Walk-forward validation as regularization Novel Contribution: AGE is the first TradingView indicator to apply genetic algorithms to real-time indicator parameter optimization while maintaining strict anti-overfitting controls through walk-forward validation. Most "adaptive" indicators simply recalibrate lookback periods or thresholds. AGE evolves entirely new strategies through competitive selection - it's not parameter tuning, it's Darwinian evolution of trading logic itself. The combination of: Genetic algorithm population management Shadow portfolio simulation for realistic fitness evaluation Walk-forward validation to prevent overfitting Multi-indicator confluence for signal quality Dynamic volatility scaling for adaptive risk ...creates a system that genuinely learns and improves over time while avoiding the curse of curve-fitting that plagues most optimization approaches. 🏗️ DEVELOPMENT NOTES This project represents months of intensive development, facing significant technical challenges: Challenge 1: Making Genetics Actually Work Early versions spawned garbage strategies that polluted the gene pool: Random gene combinations produced nonsensical parameter sets Weak strategies survived too long, dragging down population No clear convergence toward optimal solutions Solution: Comprehensive fitness scoring (4 factors: win rate, P&L, expectancy, drawdown) Elite preservation (top 2 always protected) Walk-forward validation (unproven strategies penalized 30%) Tournament selection (fitness-weighted breeding) Adaptive culling (MAS decay creates increasing selection pressure) Challenge 2: Balancing Evolution Speed vs. Stability Too fast = population chaos, no convergence. Too slow = can't adapt to regime changes. Solution: Dual-phase timing: Fast evolution during historical (30/60 bar intervals), slow during live (200/400 bar intervals) Adaptive mutation rates: 20% historical, 8% live Spawn/cull ratio: Always 2:1 to prevent population collapse Challenge 3: Shadow Portfolio Accuracy Needed realistic trade simulation without lookahead bias: Can't peek at future bars for exits Must track multiple portfolios simultaneously Stop/target checks must use bar's high/low correctly Solution: Entry on close (realistic) Exit checks on current bar's high/low (realistic) Independent position tracking per strategy Cooldown periods to prevent unrealistic rapid re-entry ATR-normalized P&L (R-multiples) for fair comparison across volatility regimes Challenge 4: Pine Script Compilation Limits Hit TradingView's execution limits multiple times: Too many array operations Too many variables Too complex conditional logic Solution: Optimized data structures (single DNA array instead of 8 separate arrays) Minimal visual overlays (only essential plots) Efficient fitness calculations (vectorized where possible) Strategic use of barstate.islast to minimize dashboard updates Challenge 5: Walk-Forward Implementation Standard WFO is difficult in Pine Script: Can't easily "roll forward" through historical data Can't re-optimize strategies mid-stream Must work in real-time streaming environment Solution: Age-based phase detection (first 250 bars = training, next 75 = testing) Separate metric tracking for train vs. test Efficiency calculation at fixed interval (after test period completes) Validation flag persists for strategy lifetime Challenge 6: Signal Quality Control Early versions generated too many signals with poor win rates: Single indicators produced excessive noise No trend alignment No regime awareness Instant entries on single-bar spikes Solution: Three-layer confluence system (entropy + momentum + structure) Minimum 2-of-3 agreement requirement Trend alignment checks (penalty for counter-trend) Regime-based probability adjustments Persistence requirements (signals must hold multiple bars) Volume confirmation Quality gate (probability + confluence thresholds) The Result A system that: Truly evolves (not just parameter sweeps) Truly validates (out-of-sample testing) Truly adapts (ongoing competition and breeding) Stays within TradingView's platform constraints Provides institutional-quality signals Maintains transparency (full metrics dashboard) Development time: 3+ months of iterative refinement Lines of code: ~1500 (highly optimized) Test instruments: ES, NQ, EURUSD, BTCUSD, SPY, AAPL Test timeframes: 5min, 15min, 1H, Daily 🎯 FINAL WORDS The Adaptive Genesis Engine is not just another indicator - it's a living system that learns, adapts, and improves through the same principles that drive biological evolution. Every bar it observes adds to its experience. Every strategy it spawns explores new parameter combinations. Every strategy it culls removes weakness from the gene pool. This is evolution in action on your charts. You're not getting a static formula locked in time. You're getting a system that thinks , that competes , that survives through natural selection. The strongest strategies rise to the top. The weakest die. The gene pool improves generation after generation. AGE doesn't claim to predict the future - it adapts to whatever the future brings. When markets shift from trending to choppy, from calm to volatile, from bullish to bearish - AGE evolves new strategies suited to the new regime. Use it on any instrument. Any timeframe. Any market condition. AGE will adapt. This indicator gives you the pure signal intelligence. How you choose to act on it - position sizing, risk management, execution discipline - that's your responsibility. AGE tells you when and how confident . You decide whether and how much . Trust the process. Respect the evolution. Let Darwin work. "In markets, as in nature, it is not the strongest strategies that survive, nor the most intelligent - but those most responsive to change." Taking you to school. — Dskyz, Trade with insight. Trade with anticipation. — Happy Holiday's
Indicador Pine Script®
por DskyzInvestments
2
TSLA ↔ ASTS FlowA clean, professional pair-trading indicator built exclusively for pair trading TSLA vs ASTS. It continuously measures how cheap or expensive TSLA is versus ASTS using a log-ratio spread and Z-score (40-bar lookback). When the Z-score hits ±2.0 the pair is at a statistical extreme: green “LONG” arrow = buy TSLA / short ASTS; red “SHORT” arrow = sell TSLA / buy ASTS. Positions auto-exit around 0.5 or on early mean-reversion. On top you get a smooth 9/21 Heikin-Ashi EMA ribbon plus daily VWAP all designed to work together on 3H, 4H or daily charts.
Indicador Pine Script®
por DefiDigits
Trend & Pullback Cycle How to use. Trend Identification: Green Columns: The cycle is above 50. Look for Longs. Red Columns: The cycle is below 50. Look for Shorts. Pullback Detection: I added a Colour Change feature. If the Green bars turn Dark Green, it means momentum is fading (a pullback is happening). This is your signal to get ready to enter or add to a position once it turns Bright Green again. The Yellow Line: This is your trigger. In the screenshot, you see the bars cross the yellow line. Entry Signal: When the Histogram crosses above the Yellow line (while generally green) or crosses below it (while generally red).
Indicador Pine Script®
por geoff6203
Adaptive Risk Management [sgbpulse]1. Introduction: Adaptive Risk Management is an advanced indicator designed to provide traders with a comprehensive risk management tool directly on the chart. Instead of relying on complex manual calculations, the indicator automates all critical steps of trade planning. It dynamically calculates the estimated Entry Price , the Stop Loss location, the required Position Size (Quantity) based on your capital and risk limits, and the three Take Profit targets based on your defined Reward/Risk ratios. The indicator displays all these essential data points clearly and visually on the chart, ensuring you always know the potential risk-reward profile of every trade. ARM : The A daptive R isk M anagement every trader needs to ARM themselves with. 2. The Critical Importance of Risk Management Proper risk management is the cornerstone of successful trading. Consistent profitability in the market is impossible without rigorously defining risk limits. Risk Control: This starts by setting the maximum risk amount you are willing to lose in a single trade (Risk per Trade), and limiting the total capital allocated to the position (Max Capital per Trade). Defining Boundaries (Stop Loss & Take Profit): It is mandatory to define a technical Stop Loss and a Take Profit target. A fundamental rule of risk management is that the Reward/Risk Ratio (R/R) must be a minimum of 1:1. 3. Core Features, Adaptivity, and Customization The Adaptive Risk Management indicator is engineered for use across all major trading styles, including Swing Trading, Intraday Trading, and Scalping, providing consistent risk control regardless of the chosen timeframe. Real-Time Dynamic Adaptivity: The indicator calculates all risk management parameters (Entry, Stop Loss, Quantity) dynamically with every new bar, thus adapting instantly to changing market conditions. Trend Direction Adjustment: Define the analysis direction (Long/Uptrend or Short/Downtrend). Intraday Session Data Control: Full control over whether lookback calculations will include data from Extended Trading Hours (ETH), or if the daily calculations will start actively only from the first bar of Regular Trading Hours (RTH). Status Validation: The indicator performs critical status checks and displays clear Warning Messages if risk conditions are not met. 4. Intuitive Visualization and Real-Time Data Dynamic Tracking Lines: The Entry Price and Stop Loss lines are updated with every new bar. Crucially, the length of these lines dynamically reflects the calculation's lookback range (e.g., the extent of Lookback Bars or the location of the confirmed Pivot Point), providing a visual anchor for the calculated price. Risk and Reward Zones: The indicator creates a graphical background fill between Entry and Stop Loss (marked with the risk color) and between Entry and the Reward Targets (marked with the reward color). Essential Information Labels: Labels are placed at the end of each line, providing critical data: Estimated Entry Price, Stock/Contract Quantity (Quantity), Total Entry Amount, Estimated Stop Loss, Risk per Share, Total Financial Risk (Risk Amount), Exit Amount, Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3. 4.1. Data Window Metrics (16 Full Series) The indicator displays 16 full data series in the TradingView Data Window, allowing precise tracking of every calculation parameter: Entry Data: Estimated Entry, Quantity, Entry Amount. Risk Data (Stop Loss): Estimated Stop Loss, Risk per Share, Risk Amount, Exit Amount. Reward Data (Take Profit): Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3. 4.2. Instant Tracking in the Status Line The indicator displays 6 critical parameters continuously in the indicator's Status Line: Estimated Entry, Quantity, Estimated Stop Loss, Estimated Take Profit 1/2/3. 5. Detailed Indicator Inputs 5.1 General Focused Trend: Defines the analysis direction (Uptrend / Downtrend). Max Capital per Trade: The maximum amount allocated to purchasing stocks/contracts (in account currency). Risk per Trade: The maximum amount the user is willing to risk in this single trade (in account currency). ATR Length: The lookback period for the Average True Range (ATR) calculation. 5.2 Intraday Session Data Control Regular Hours Limitation : If enabled, all daily lookback calculations (for Entry/Stop Loss anchor points) will begin strictly from the first Regular Trading Hours (RTH) bar. This limits the lookback range to the current RTH session, excluding preceding Extended Trading Hours (ETH) data. Only relevant for Intraday charts. Default: False (Off) 5.3 Entry Inputs Entry Method: Selects the entry price calculation method: Current Price: Uses the closing price of the current bar as the estimated entry point (Market Entry). ATR Real Bodies Margin : - Uptrend: Calculates the Maximum Real Body over the lookback period + the calculated safety margin. - Downtrend: Calculates the Minimum Real Body over the lookback period - the calculated safety margin. ATR Bars Margin : - Uptrend: Calculates the Maximum High price over the lookback period + the calculated safety margin. - Downtrend: Calculates the Minimum Low price over the lookback period - the calculated safety margin. Lookback Bars: The number of bars used to calculate the extremes in the ATR-based entry methods (Relevant only for ATR Real Bodies Margin and ATR Bars Margin methods). ATR Multiplier (Entry): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to determine the estimated Entry Price. 5.4 Risk Inputs (Stop Loss) Risk Method: Selects the Stop Loss price calculation method. ATR Current Price Margin : - Uptrend: Entry Price - the calculated safety margin. - Downtrend: Entry Price + the calculated safety margin. ATR Current Bar Margin : - Uptrend: Current Bar's Low price - the calculated safety margin. - Downtrend: Current Bar's High price + the calculated safety margin. ATR Bars Margin : - Uptrend: Lowest Low over lookback period - the calculated safety margin. - Downtrend: Highest High over lookback period + the calculated safety margin. ATR Pivot Margin : - Uptrend: The first confirmed Pivot Low point - the calculated safety margin. - Downtrend: The first confirmed Pivot High point + the calculated safety margin. Lookback Bars: The lookback period for finding the extreme price used in the 'ATR Bars Margin' calculation. ATR Multiplier (Risk): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to place the estimated Stop Loss. Note: If set to 0, the Stop Loss will be placed exactly at the technical anchor point, provided the Minimum Margin Value is also 0. Minimum Margin Value: The minimum price value (e.g., $0.01) the Stop Loss margin buffer must be. Pivot (Left / Right): The number of bars required on either side of the pivot bar for confirmation (relevant only for the ATR Pivot Margin method). 5.5 Reward Inputs (Take Profit) Show Take Profit 1/2/3: ON/OFF switch to control the visibility of each Take Profit target. Reward/Risk Ratio 1/ 2/ 3: Defines the R/R ratio for the profit target. Must be ≥1.0. 6. Indicator Status/Warning Messages In situations where the Stop Loss location cannot be calculated logically and validly, often caused by a mismatch between the configured Focused Trend (Uptrend/Downtrend) and the actual price action, the indicator will display a warning message, explaining the reason and suggesting corrective action. Status Message 1: Pivot reference unavailable Condition: The Stop Loss is set to the "ATR Pivot Margin" method, but the anchor point (Pivot) is missing or inaccessible. Message Displayed: "Pivot reference unavailable. Wait for valid price action, or adjust the Regular Hours Limitation setting or Pivot Left/Right inputs." Status Message 2: Calculated Stop Loss is unsafe Condition: The calculated Stop Loss is placed illogically or unsafely relative to the trend direction and the Entry price. Message Displayed: "Calculated Stop Loss is unsafe for current trend. Wait for valid price action or adjust SL Lookback/Multiplier." 7. Summary The Adaptive Risk Management (ARM) indicator provides a seamless and systematic approach to trade execution and risk control. By dynamically automating all critical trade parameters—from Entry Price and Stop Loss placement to Position Sizing and Take Profit targets—ARM removes emotional bias and ensures every trade adheres strictly to your predefined risk profile. Key Benefits: Systematic Risk Control: Strict enforcement of maximum capital allocation and risk per trade limits. Adaptivity: Dynamic calculation of prices and quantities based on real-time market data (ATR and Lookback). Clarity and Trust: Clear on-chart visualization, precise data metrics (16 series), and unambiguous Status/Warning Messages ensure transparency and reliability. ARM allows traders to focus on strategy and analysis, confident that their execution complies with the core principles of professional risk management. Important Note: Trading Risk This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever. Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Indicador Pine Script®
por sgbpulse
TSLL/TSLQ FlowThis script is built purely for trading the TSLL/TSLQ pair. It tracks the spread between the two ETFs using Heikin-Ashi candles, measures how extreme that spread is with a Z-score, and only fires clean, non-repainting entries when the spread deviates more than your chosen threshold (default ~2.1σ). A fast/slow EMA ribbon on the chart gives the broader trend context and instantly alerts on bullish/bearish flips. Long = buy TSLL / short TSLQ when Z ≤ -2.1 Short = short TSLL / buy TSLQ when Z ≥ +2.1 All signals come with alerts so you never miss a setup.
Indicador Pine Script®
por DefiDigits