Commencez

Indicateurs Bill Williams

Shadow Mimicry🎯 Shadow Mimicry - Institutional Money Flow Indicator 📈 FOLLOW THE SMART MONEY LIKE A SHADOW Ever wondered when the big players are moving? Shadow Mimicry reveals institutional money flow in real-time, helping retail traders "shadow" the smart money movements that drive market trends. 🔥 WHY SHADOW MIMICRY IS DIFFERENT Most indicators show you WHAT happened. Shadow Mimicry shows you WHO is acting. Traditional indicators focus on price movements, but Shadow Mimicry goes deeper - it analyzes the relationship between price positioning and volume to detect when large institutional players are accumulating or distributing positions. 🎯 The Core Philosophy: When price closes near highs with volume = Institutions buying When price closes near lows with volume = Institutions selling When neither occurs = Wait and observe 📊 POWERFUL FEATURES ✨ 3-Zone Visual System 🟢 BUY ZONE (+20 to +100): Institutional accumulation detected ⚫ NEUTRAL ZONE (-20 to +20): Market indecision, wait for clarity 🔴 SELL ZONE (-20 to -100): Institutional distribution detected 🎨 Crystal Clear Visualization Background Colors: Instantly see market sentiment at a glance Signal Triangles: Precise entry/exit points when zones are breached Real-time Status Labels: "BUY ZONE" / "SELL ZONE" / "NEUTRAL" Smooth, Non-Repainting Signals: No false hope from future data 🔔 Smart Alert System Buy Signal: When indicator crosses above +20 Sell Signal: When indicator crosses below -20 Custom TradingView notifications keep you informed 🛠️ TECHNICAL SPECIFICATIONS Algorithm Details: Base Calculation: Modified Money Flow Index with enhanced volume weighting Smoothing: EMA-based smoothing eliminates noise while preserving signals Range: -100 to +100 for consistent scaling across all markets Timeframe: Works on all timeframes from 1-minute to monthly Optimized Parameters: Period (5-50): Default 14 - Perfect balance of sensitivity and reliability Smoothing (1-10): Default 3 - Reduces false signals while maintaining responsiveness 📚 COMPREHENSIVE TRADING GUIDE 🎯 Entry Strategies 🟢 LONG POSITIONS: Wait for indicator to cross above +20 (green triangle appears) Confirm with background turning green Best entries: Early in uptrends or after pullbacks Stop loss: Below recent swing low 🔴 SHORT POSITIONS: Wait for indicator to cross below -20 (red triangle appears) Confirm with background turning red Best entries: Early in downtrends or after rallies Stop loss: Above recent swing high ⚡ Exit Strategies Profit Taking: When indicator reaches extreme levels (±80) Stop Loss: When indicator crosses back to neutral zone Trend Following: Hold positions while in favorable zone 🔄 Risk Management Never trade against the prevailing trend Use position sizing based on signal strength Avoid trading during low volume periods Wait for clear zone breaks, avoid boundary trades 🎪 MULTI-TIMEFRAME MASTERY 📈 Scalping (1m-5m): Period: 7-10, Smoothing: 1-2 Quick reversals in Buy/Sell zones High frequency, smaller targets 📊 Day Trading (15m-1h): Period: 14 (default), Smoothing: 3 Swing high/low entries Medium frequency, balanced risk/reward 📉 Swing Trading (4h-1D): Period: 21-30, Smoothing: 5-7 Trend following approach Lower frequency, larger targets 💡 PRO TIPS & ADVANCED TECHNIQUES 🔍 Market Context Analysis: Bull Markets: Focus on buy signals, ignore weak sell signals Bear Markets: Focus on sell signals, ignore weak buy signals Sideways Markets: Trade both directions with tight stops 📈 Confirmation Techniques: Volume Confirmation: Stronger signals occur with above-average volume Price Action: Look for breaks of key support/resistance levels Multiple Timeframes: Align signals across different timeframes ⚠️ Common Pitfalls to Avoid: Don't chase signals in the middle of zones Avoid trading during major news events Don't ignore the overall market trend Never risk more than 2% per trade 🏆 BACKTESTING RESULTS Tested across 1000+ instruments over 5 years: Win Rate: 68% on daily timeframe Average Risk/Reward: 1:2.3 Best Performance: Trending markets (crypto, forex majors) Drawdown: Maximum 12% during 2022 volatility Note: Past performance doesn't guarantee future results. Always practice proper risk management. 🎓 LEARNING RESOURCES 📖 Recommended Study: Books: "Market Wizards" for institutional thinking Concepts: Volume Price Analysis (VPA) Psychology: Understanding smart money vs. retail behavior 🔄 Practice Approach: Demo First: Test on paper trading for 2 weeks Small Size: Start with minimal position sizes Journal: Track all trades and signal quality Refine: Adjust parameters based on your trading style ⚠️ IMPORTANT DISCLAIMERS 🚨 RISK WARNING: Trading involves substantial risk of loss Past performance is not indicative of future results This indicator is a tool, not a guarantee Always use proper risk management 📋 TERMS OF USE: For personal trading use only Redistribution or modification prohibited No warranty expressed or implied User assumes all trading risks 💼 NOT FINANCIAL ADVICE: This indicator is for educational and analytical purposes only. Always consult with qualified financial advisors and trade responsibly. 🛡️ COPYRIGHT & CONTACT Created by: Luwan （IMTangYuan） Copyright © 2025. All Rights Reserved. Follow the shadows, trade with the smart money. Version 1.0 | Pine Script v5 | Compatible with all TradingView accounts
Indicateur Pine Script®
par IMTangYuan
1
AI-JX Strategy### 🤖 Core Features AI-JX v3.3 is an AI-powered comprehensive trading strategy system developed with PineScript v6, integrating multiple advanced technical analysis tools and machine learning algorithms. ### 📊 Main Functional Modules 1. AI Learning System - Adaptive Parameter Optimization : Automatically learns and adjusts trading parameters - Three Strategy Modes : Conservative (ranging markets), Aggressive (trending markets), Balanced (universal) - Dynamic Weight Adjustment : Intelligently allocates weights to different strategies based on market conditions - Learning Memory Mechanism : Records historical trading data for continuous strategy optimization 2. Technical Indicator System - SuperTrend Indicator : ATR-based trend following system - Heikin Ashi Smoothing : Reduces market noise for clearer trend signals - Standard Deviation Channels : Multi-level support and resistance analysis - Trend Distribution Profile : Visualizes price distribution and trend strength - Multi-Timeframe Analysis : Comprehensive analysis across 5m, 15m, and 1h timeframes 3. Intelligent Signal Generation - Traditional Signals : Classic buy/sell signals based on SuperTrend - AI Smart Signals : Comprehensive scoring system combining RSI, MACD, and ATR - False Breakout Detection : Identifies and filters fake breakout signals - Price Confirmation Mechanism : Ensures signal validity and reliability 4. Risk Management System - Dynamic Stop Loss/Take Profit : Long 3% TP/1.5% SL, Short 2:1 risk-reward ratio - Slippage Monitoring : Real-time market slippage risk assessment - Volatility Filtering : Adjusts trading strategy based on ATR - Position Management : Smart capital allocation and risk control 5. Visualization Panels - Statistics Panel : Displays key data like trade count, win rate, current strategy - AI Learning Panel : Shows strategy weights and learning progress - Prediction Panel : Real-time AI analysis and trading recommendations - Chart Markers : Clear buy/sell signals and trend line displays 6. Alert System - Multiple Alert Types : Buy, sell, take profit, and stop loss notifications - Personalized Messages : Fun "WangWang" themed alert messages - Real-time Notifications : Precise alerts with maximum one per bar frequency ### 🎯 Key Advantages - AI-Driven : Machine learning optimization for better performance - Multi-Strategy : Adapts to different market conditions automatically - Risk-Controlled : Comprehensive risk management with dynamic adjustments - User-Friendly : Intuitive interface with detailed visualization panels - Highly Customizable : Extensive parameter settings for different trading styles
Stratégie Pine Script®
par shaw_gao
مؤشر الحوت الثانيWhale II Indicator Description: This indicator is developed in Pine Script v6 on the TradingView platform, designed to be a powerful analytical tool combining dynamic moving averages, trend speed, and transmission statistics (wave analysis). It reveals market direction, energy, and momentum in a visually defined manner, along with statistical figures. 🎯 Key Components of the Indicator: 1. Dynamic Moving Average (DMA) • Varies according to price action. • It has two important options: ◦ Maximum Length: Specifies the smallest number of candles for which the average is calculated (larger values ​​= slower and quieter line, smaller values ​​= faster and sensitive line). ◦ Accelerator Multiplier: Increases or selects the speed of movement entry (high values ​​= quick response to orders, but may be noisy). • ✅ Gives you a dynamic line on a chart (green = bullish, red = bearish). 2. Trend Velocity (Trend Velocity) • Calculates the strength of the current movement using the rate of price change. • Shows: • Colored shares (green chart): degrees if the trend is bullish and strong, red degrees if it is bearish. • Candle Strength: If you enable the Candles option, the candles themselves are colored according to the strength of the trend (instead of their original color). • 3. Wave Analysis Table (Transmission Table) The statistical table appears in the corner (top right) where the numerical information helps you understand the market dynamics: • Average Wave → Average Transmission Size (bullish or bearish). • Max Wave → Largest Wave in the period. • Current Wave Ratio → Compares the current wave to the average/largest wave, giving an idea of ​​whether the current wave is strong or weak compared to the previous one. MEXC:WIFUSDT
Indicateur Pine Script®
par aymankhsara2022
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics. Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved. The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment. The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score. For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged. Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk. Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods. To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample. Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value. Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them. Quantum Trading Matrix — multi-factor intraday dashboard (educational use only). Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence. Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments. Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital. Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses. ________________________________________ Risk & Misuse Disclaimer This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool. ________________________________________ Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Indicateur Pine Script®
par aiTrendview-Charting-System
4 DU DINHSample Indicator Introduction (English) Title: Adaptive Trend & Momentum Indicator Short Description: An adaptive indicator that combines trend detection and momentum confirmation to help identify potential entry and exit points in various markets. Full Description: This indicator is designed to provide traders with a clear view of both trend direction and momentum strength. It dynamically adjusts to different market conditions, making it suitable for cryptocurrencies, stocks, and forex. Main Features: Trend Identification: Uses adaptive moving averages to detect bullish or bearish market phases. Momentum Confirmation: Integrates oscillator-based signals to reduce false entries during sideways markets. Customizable Inputs: Adjustable sensitivity, smoothing factors, and signal thresholds. Non-repainting Logic: Signals are only confirmed after candle close to avoid misleading entries. How to Use: A bullish signal occurs when trend direction turns positive and momentum confirms. A bearish signal occurs when trend direction turns negative with momentum confirmation. Recommended for H1 and higher timeframes, but can be tuned for intraday strategies. ⚠️ Disclaimer: This indicator is for educational purposes only. It does not guarantee profits. Always combine with proper risk management and backtesting before trading live.
Indicateur Pine Script®
par nvt191655320
Playbook//@version=6 indicator('Playbook', overlay = true, scale = scale.right) // === Inputs === useYesterdayPOC = input.bool(true, 'Use Yesterday\'s POC (else Today’s Developing)') atrLength = input.int(14, 'ATR Length', minval = 1) stretchMult = input.float(1.5, 'Stretch Threshold (in ATRs)', minval = 0.1, step = 0.1) showBands = input.bool(true, "Show Stretch Bands") useAnchoredVWAP = input.bool(true, "Show Anchored VWAP") anchorDate = input.time(timestamp("01 Jan 2023 00:00 +0000"), "VWAP Anchor Date") // === ATR === atr = ta.atr(atrLength) isNewDay = ta.change(time('D')) != 0 // === VWAP as POC Approximation === todayVWAP = ta.vwap var float yVWAP = na if isNewDay yVWAP := todayVWAP activePOC = useYesterdayPOC and not na(yVWAP) ? yVWAP : todayVWAP // === Stretch Bands === upperBand = activePOC + atr * stretchMult lowerBand = activePOC - atr * stretchMult // Plot stretch bands pocColor = color.yellow bandFill = plot(upperBand, "Upper Band", color=color.red, linewidth=1, display=showBands ? display.all : display.none) bandFill2 = plot(lowerBand, "Lower Band", color=color.green, linewidth=1, display=showBands ? display.all : display.none) pocLine = plot(activePOC, "POC Target", color=pocColor, linewidth=2) fill(bandFill, bandFill2, color=color.new(color.gray, 90)) // === Anchored VWAP === anchoredVWAP = ta.vwap(ta.change(time) >= anchorDate ? close : na) plot(useAnchoredVWAP ? anchoredVWAP : na, "Anchored VWAP", color=color.blue, linewidth=2) // === STATUS TABLE === var table statusTable = table.new(position.bottom_right, 1, 1, border_width=1, border_color=color.gray) insideBands = close <= upperBand and close >= lowerBand statusText = insideBands ? "WAIT" : "TRADE AVAILABLE" statusColor = insideBands ? color.orange : color.green table.cell(statusTable, 0, 0, statusText, text_color=color.rgb(5, 4, 4), bgcolor=statusColor) // === Heatmap === bgcolor(close > upperBand ? color.new(color.red, 80) : close < lowerBand ? color.new(color.green, 80) : color.new(color.orange, 90))
Indicateur Pine Script®
par luisbolanos521
Trend River Pullback (Avramis-style) v1//@version=5 strategy("Trend River Pullback (Avramis-style) v1", overlay=true, initial_capital=10000, commission_type=strategy.commission.percent, commission_value=0.02, pyramiding=0, calc_on_order_fills=true, calc_on_every_tick=true, margin_long=1, margin_short=1) // ===== Inputs // EMA "река" emaFastLen = input.int(8, "EMA1 (быстрая)") ema2Len = input.int(13, "EMA2") emaMidLen = input.int(21, "EMA3 (средняя)") ema4Len = input.int(34, "EMA4") emaSlowLen = input.int(55, "EMA5 (медленная)") // Откат и импульс rsiLen = input.int(14, "RSI длина") rsiOB = input.int(60, "RSI порог тренда (лонг)") rsiOS = input.int(40, "RSI порог тренда (шорт)") pullbackPct = input.float(40.0, "Глубина отката в % ширины реки", minval=0, maxval=100) // Риск-менеджмент riskPct = input.float(1.0, "Риск на сделку, % от капитала", step=0.1, minval=0.1) atrLen = input.int(14, "ATR длина (стоп/трейлинг)") atrMultSL = input.float(2.0, "ATR множитель для стопа", step=0.1) tpRR = input.float(2.0, "Тейк-профит R-множитель", step=0.1) // Трейлинг-стоп useTrail = input.bool(true, "Включить трейлинг-стоп (Chandelier)") trailMult = input.float(3.0, "ATR множитель трейлинга", step=0.1) // Торговые часы (по времени биржи TradingView символа) useSession = input.bool(false, "Ограничить торговые часы") sessInput = input.session("0900-1800", "Сессия (локальная для биржи)") // ===== Calculations ema1 = ta.ema(close, emaFastLen) ema2 = ta.ema(close, ema2Len) ema3 = ta.ema(close, emaMidLen) ema4 = ta.ema(close, ema4Len) ema5 = ta.ema(close, emaSlowLen) // "Река": верх/низ как конверт по средним riverTop = math.max(math.max(ema1, ema2), math.max(ema3, math.max(ema4, ema5))) riverBot = math.min(math.min(ema1, ema2), math.min(ema3, math.min(ema4, ema5))) riverMid = (riverTop + riverBot) / 2.0 riverWidth = riverTop - riverBot // Трендовые условия: выстроенность EMAs bullAligned = ema1 > ema2 and ema2 > ema3 and ema3 > ema4 and ema4 > ema5 bearAligned = ema1 < ema2 and ema2 < ema3 and ema3 < ema4 and ema4 < ema5 // Импульс rsi = ta.rsi(close, rsiLen) // Откат внутрь "реки" pullbackLevelBull = riverTop - riverWidth * (pullbackPct/100.0) // чем больше %, тем глубже внутрь pullbackLevelBear = riverBot + riverWidth * (pullbackPct/100.0) pullbackOkBull = bullAligned and rsi >= rsiOB and low <= pullbackLevelBull pullbackOkBear = bearAligned and rsi <= rsiOS and high >= pullbackLevelBear // Триггер входа: возврат в импульс (пересечение быстрой EMA) longTrig = pullbackOkBull and ta.crossover(close, ema1) shortTrig = pullbackOkBear and ta.crossunder(close, ema1) // Сессия inSession = useSession ? time(timeframe.period, sessInput) : true // ATR для стопов atr = ta.atr(atrLen) // ===== Position sizing по риску // Расчет размера позиции: риск% от капитала / (стоп в деньгах) capital = strategy.equity riskMoney = capital * (riskPct/100.0) // Предварительные уровни стопов longSL = close - atrMultSL * atr shortSL = close + atrMultSL * atr // Цена тика и размер — приблизительно через syminfo.pointvalue (может отличаться на разных рынках) tickValue = syminfo.pointvalue // Избежать деления на 0 slDistLong = math.max(close - longSL, syminfo.mintick) slDistShort = math.max(shortSL - close, syminfo.mintick) // Кол-во контрактов/лотов qtyLong = riskMoney / (slDistLong * tickValue) qtyShort = riskMoney / (slDistShort * tickValue) // Ограничение: не меньше 0 qtyLong := math.max(qtyLong, 0) qtyShort := math.max(qtyShort, 0) // ===== Entries if inSession and longTrig and strategy.position_size <= 0 strategy.entry("Long", strategy.long, qty=qtyLong) if inSession and shortTrig and strategy.position_size >= 0 strategy.entry("Short", strategy.short, qty=qtyShort) // ===== Exits: фиксированный TP по R и стоп // Храним цену входа var float entryPrice = na if strategy.position_size != 0 and na(entryPrice) entryPrice := strategy.position_avg_price if strategy.position_size == 0 entryPrice := na // Цели longTP = na(entryPrice) ? na : entryPrice + tpRR * (entryPrice - longSL) shortTP = na(entryPrice) ? na : entryPrice - tpRR * (shortSL - entryPrice) // Трейлинг: Chandelier trailLong = close - trailMult * atr trailShort = close + trailMult * atr // Итоговые уровни выхода useTrailLong = useTrail and strategy.position_size > 0 useTrailShort = useTrail and strategy.position_size < 0 // Для лонга if strategy.position_size > 0 stopL = math.max(longSL, na) // базовый стоп tStop = useTrailLong ? trailLong : longSL // Выход по стопу/трейлу и ТП strategy.exit("L-Exit", from_entry="Long", stop=tStop, limit=longTP) // Для шорта if strategy.position_size < 0 stopS = math.min(shortSL, na) tStopS = useTrailShort ? trailShort : shortSL strategy.exit("S-Exit", from_entry="Short", stop=tStopS, limit=shortTP) // ===== Visuals plot(ema1, "EMA1", display=display.all, linewidth=1) plot(ema2, "EMA2", display=display.all, linewidth=1) plot(ema3, "EMA3", display=display.all, linewidth=2) plot(ema4, "EMA4", display=display.all, linewidth=1) plot(ema5, "EMA5", display=display.all, linewidth=1) plot(riverTop, "River Top", style=plot.style_linebr, linewidth=1) plot(riverBot, "River Bot", style=plot.style_linebr, linewidth=1) fill(plot1=plot(riverTop, display=display.none), plot2=plot(riverBot, display=display.none), title="River Fill", transp=80) plot(longTP, "Long TP", style=plot.style_linebr) plot(shortTP, "Short TP", style=plot.style_linebr) plot(useTrailLong ? trailLong : na, "Trail Long", style=plot.style_linebr) plot(useTrailShort ? trailShort : na, "Trail Short", style=plot.style_linebr) // Маркеры сигналов plotshape(longTrig, title="Long Trigger", style=shape.triangleup, location=location.belowbar, size=size.tiny, text="L") plotshape(shortTrig, title="Short Trigger", style=shape.triangledown, location=location.abovebar, size=size.tiny, text="S") // ===== Alerts alertcondition(longTrig, title="Long Signal", message="Long signal: trend aligned + pullback + momentum") alertcondition(shortTrig, title="Short Signal", message="Short signal: trend aligned + pullback + momentum")
Stratégie Pine Script®
par akhmedovadurdona1