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LW Outside Day Strategy[SpeculationLab]This strategy is inspired by the “Outside Day” concept introduced by Larry Williams in Long-Term Secrets to Short-Term Trading, and has been extended with configurable risk management tools and realistic backtesting parameters. Concept The “Outside Day” is a classic price action pattern that reflects strong market rejection or continuation pressure. An Outside Bar occurs when the current bar’s high exceeds the previous high and the low falls below the previous low. A body-size filter ensures only significant candles are included. Entry Logic Buy setup: Price closes below the previous low (bullish rejection). Sell setup: Price closes above the previous high (bearish rejection). Only confirmed bars are used (no intrabar signals). Stop-Loss Modes Prev Low/High: Uses the previous swing point ± ATR-based buffer. ATR: Dynamic stop based on Average True Range × multiplier. Fixed Pips: User-defined fixed distance (for forex testing). Take-Profit Modes Prev High/Low (PHL): Exits near the opposite swing. Risk-Reward (RR): Targets a user-defined multiple of the stop distance (default = 2 : 1). Following Price Open (FPO): Exits on the next bar’s open if price opens in profit (used to test overnight price continuation). Risk Management & Backtest Settings Default risk per trade is set at 10% of account equity (user-adjustable). Commission = 0.1% and slippage = 2 ticks are applied to simulate realistic conditions. For reliable statistics, test on data that yields over 100 trades. Suitable for daily and 4-hour timeframes across stocks, forex, and crypto markets. Visual Elements Green and red triangles show entry signals. Stop-loss (red) and take-profit (green) reference lines are drawn for clarity. Optional alerts notify when a valid setup forms. Disclaimer This script is for educational and research purposes only. It does not constitute financial advice or guarantee profits. Always backtest thoroughly and manage your own risk. Enhancements over Classic Outside Bar Models Adjustable stop and target logic with ATR and buffer multipliers. “Following Price Open” exit logic for realistic day-end management. Optimized to avoid repainting and bar-confirmation issues. Built with realistic trading costs and position sizing. 策略逻辑 外包线识别 当日最高价高于前一日最高价，且当日最低价低于前一日最低价，即形成外包线。 同时过滤掉较小实体的 K 线，仅保留实体显著大于前一根的形态。 方向过滤 收盘价低于前一日最低价 → 视为买入信号。 收盘价高于前一日最高价 → 视为卖出信号。 止损设置（可选参数） 前低/高止损：以形态前低/前高为止损，带有缓冲倍数。 ATR 止损：根据平均波动率（ATR）动态调整。 固定点数止损：按照用户设定的点数作为止损范围。 止盈设置（可选参数） 前高/低止盈（PHL）：以前高/前低为目标。 固定盈亏比（RR）：根据用户设定的风险回报比自动计算。 隔夜开盘（FPO）：若次日开盘价高于进场价（多单）或低于进场价（空单），则平仓。 信号标记 在图表中标注买入/卖出信号（三角形标记）。 绘制止损与目标位参考线。 使用说明 适用周期：建议用于 日线图（Daily）。 适用市场：股票、外汇、加密货币等各类市场均可。 提示：此策略为历史研究与学习用途，不构成投资建议。实际交易请结合自身风险管理。
Strategi Pine Script®
oleh SpeculationLab
Larry Williams Oops StrategyThis strategy is a modern take on Larry Williams’ classic Oops setup. It trades intraday while referencing daily bars to detect opening gaps and align entries with the prior day’s direction. Risk is managed with day-based stops, and—unlike the original—all positions are closed at the end of the session (or at the last bar’s close), not at a fixed profit target or the first profitable open. Entry Rules Long setup (bullish reversion): Today opens below yesterday’s low (down gap) and yesterday’s candle was bearish. Place a buy stop at yesterday’s low + Filter (ticks). Short setup (bearish reversion): Today opens above yesterday’s high (up gap) and yesterday’s candle was bullish. Place a sell stop at yesterday’s high − Filter (ticks). Longs are only taken on down-gap days; shorts only on up-gap days. Protective Stop If long, stop loss trails the current day’s low. If short, stop loss trails the current day’s high. Exit Logic Positions are force-closed at the end of the session (in the last bar), ensuring no overnight exposure. There is no take-profit; only stop loss or end-of-day flat. Notes This strategy is designed for intraday charts (minutes/seconds) using daily data for gaps and prior-day direction. Longs/shorts can be enabled or disabled independently.
Strategi Pine Script®
oleh xtradernet
Commodity Pulse Matrix (CPM) [WavesUnchained] [Strategy]Commodity Pulse Matrix (CPM) - Strategy Version ⚠️ Development Status ACTIVE DEVELOPMENT - This strategy is currently under heavy development and optimization. The risk management settings, entry/exit logic, and parameter tuning are still being refined and are NOT yet satisfactory for live trading. Current development areas: Stop-loss and take-profit optimization Position sizing and risk management Entry timing and signal filtering Backtest validation across different market conditions ⚠️ Use for testing and backtesting only - NOT recommended for live trading yet! For detailed information about the underlying indicator logic, signals, and analysis methods, please refer to the Commodity Pulse Matrix (CPM) indicator description. Overview The CPM Strategy is an automated trading system based on the Commodity Pulse Matrix indicator. It converts the indicator's multi-timeframe confluence signals into executable trades with dynamic ATR-based risk management. Strategy Core Features Signal Sources The strategy trades based on: Strong Buy/Sell signals from the CPM indicator Multi-timeframe alignment (configurable: 3/3, 2/3, or score-only) EMA-200 trend filter (prevents counter-trend entries) Dynamic signal cooldown (5-8 bars) Optional reversal zone signals (triple-confirmed) Risk Management (ATR-Based) Stop-Loss & Take-Profit Stop-Loss: 2.5x ATR (default) - Dynamic distance based on volatility Take-Profit: 4.0x ATR (default) - Risk/Reward ratio of 1.6:1 ATR Length: 14 periods (adjustable) Both SL and TP adjust to current market volatility Trailing Stop (Optional) Enabled by default Trails at 2.5x ATR distance Protects profits in trending moves Can be disabled for fixed SL/TP only Position Management Trade Direction Filter Both Directions (default) - Trade both Long and Short Long Only - Only enter long positions Short Only - Only enter short positions Cooldown After Exit Default: 3 bars minimum after closing a position Prevents immediate re-entry (whipsaw protection) Adjustable from 0 (disabled) to any number of bars Signal Filtering Signal Mode (Timeframe Consensus) Strict (3/3 TFs): All 3 timeframes must agree - Most conservative Majority (2/3 TFs): At least 2 of 3 timeframes agree - Balanced (default) Flexible (Score Only): Overall score threshold only - Most signals Optional Filters Min ABS(overallScore): Only trade when confluence score meets minimum (default: 0 = disabled) Confirmed Bar Only: Wait for bar close before entry (prevents repainting) - Recommended ON Strategy Settings Guide For Conservative Trading (Lower Risk) Signal Mode: "Strict (3/3 TFs)" Stop-Loss: 3.0x ATR or higher Take-Profit: 5.0x ATR or higher Trailing Stop: Enabled Cooldown: 5-10 bars Min Score: 8.0 or higher For Aggressive Trading (More Signals) Signal Mode: "Flexible (Score Only)" Stop-Loss: 2.0x ATR Take-Profit: 3.0x ATR Trailing Stop: Optional Cooldown: 0-3 bars Min Score: 4.0 or disabled For Balanced Trading (Recommended Starting Point) Signal Mode: "Majority (2/3 TFs)" Stop-Loss: 2.5x ATR Take-Profit: 4.0x ATR Trailing Stop: Enabled Cooldown: 3 bars Min Score: 6.0-8.0 TradingView Strategy Tester Settings Essential Settings to Configure: Properties Tab Initial Capital: Set to realistic account size Order Size: Use "% of Equity" (e.g., 10-25% per trade) Commission: Set realistic commission (e.g., 0.05% for crypto, 0.1% for stocks) Slippage: Add realistic slippage (1-3 ticks for liquid markets) Verify "Recalculate: On Every Tick" is DISABLED (for realistic backtests) Inputs Tab Adjust ATR multipliers for your market Set appropriate cooldown period Choose signal mode based on desired trade frequency Enable/disable trailing stop Configure directional filter if needed Backtesting Recommendations Before Using This Strategy: Test across multiple markets - What works for one commodity may not work for another Test different timeframes - Strategy behavior changes significantly with TF Test different market conditions - Trending vs ranging markets Validate performance metrics - Win rate, profit factor, max drawdown, Sharpe ratio Forward test on paper account - Before risking real capital Key Metrics to Monitor: Win Rate (aim for >40% minimum) Profit Factor (aim for >1.5) Max Drawdown (should be acceptable for your risk tolerance) Sharpe Ratio (higher is better, >1.0 is good) Average Trade (should be positive after commissions/slippage) Known Limitations Range-bound markets: May produce more whipsaws despite filters Low volatility: ATR-based stops may be too tight High volatility: ATR-based stops may be too wide News events: Strategy cannot account for fundamental shocks Signal timing: Entry timing is still being optimized Indicator vs Strategy When to use the Indicator: - Manual trading with discretion - Confluence analysis and timing - Multiple signal validation - Learning market structure When to use the Strategy: - Automated backtesting - System validation - Parameter optimization - Performance measurement ⚠️ The indicator provides richer information and context than the strategy can execute! Technical Details Pine Script v6 Non-repainting: Uses confirmed bars for HTF data Strategy type: Long/Short with dynamic stops Risk management: ATR-based (adaptive to volatility) Position sizing: Configured in Strategy Tester Pyramiding: Default 1 (no adding to positions) Important Notes ⚠️ Strategy parameters are still under optimization - Current settings may not be optimal for all markets or timeframes ⚠️ Backtest thoroughly before live trading - Test across different market conditions and timeframes ⚠️ Risk management is critical - Use appropriate position sizing (1-2% risk per trade recommended) ⚠️ Market conditions change - A strategy that works in trending markets may fail in ranging markets ⚠️ Commission and slippage matter - Always include realistic costs in backtests ✅ Start with conservative settings and optimize gradually ✅ Paper trade before going live ✅ Monitor performance and adjust as needed ✅ Never risk more than you can afford to lose Disclaimer Educational and testing purposes only. Not financial advice. This strategy is provided as-is for backtesting and educational purposes. Past performance is not indicative of future results. Trading involves substantial risk of loss. The developer is not responsible for any losses incurred from using this strategy. Always do your own research, backtest thoroughly, and consult with a qualified financial advisor before making trading decisions. NEVER use this strategy with real money until: You have thoroughly backtested it on your specific market and timeframe You understand all parameters and their impact You have forward tested it on a paper account You are comfortable with the maximum drawdown and risk profile The strategy has been marked as production-ready by the developer Version v1.2 - Strategy Adapter (Active Development) Based on: Commodity Pulse Matrix v1.2 Indicator Last Updated: 2025-10-10 For detailed indicator documentation, see the Commodity Pulse Matrix (CPM) indicator description.
Strategi Pine Script®
oleh WavesUnchained
ORDER BLCOK custom strategy# OB Matrix Strategy - Documentation **Version:** 1.0 **Author:** HPotter **Date:** 31/07/2017 The **OB Matrix Strategy** is based on the identification of **bullish and bearish Order Blocks** and the management of conditional orders with multiple Take Profit (TP) and Stop Loss (SL) levels. It uses trend filters, ATR, and percentage-based risk management. --- ## 1. Main Parameters ### Strategy - `initial_capital`: 50 - `default_qty_type`: percentage of capital - `default_qty_value`: 10 ### Money Management - `rr_threshold`: minimum Risk/Reward threshold to open a trade - `risk_percent`: percentage of capital to risk per trade (default 2%) - `maxPendingBars`: maximum number of bars for a pending order - `maxBarsOpen`: maximum number of bars for an open position - `qty_tp1`, `qty_tp2`, `qty_tp3`: quantity percentages for multiple TPs --- ## 2. Order Block Identification ### Order Block Parameters - `obLookback`: number of bars to identify an Order Block - `obmode`: method to calculate the block (`Full` or `Breadth`) - `obmiti`: method to determine block mitigation (`Close`, `Wick`, `Avg`) - `obMaxBlocks`: maximum number of Order Blocks displayed ### Main Variables - `bullBlocks`: array of bullish blocks - `bearBlocks`: array of bearish blocks - `last_bull_volume`, `last_bear_volume`: volume of the last block - `dom_block`: dominant block type (Bullish/Bearish/None) - `block_strength`: block strength (normalized volume) - `price_distance`: distance between current price and nearest block --- ## 3. Visual Parameters - `Width`: line thickness for swing high/low - `amountOfBoxes`: block grid segments - `showBorder`: show block borders - `borderWidth`: width of block borders - `showVolume`: display volume inside blocks - `volumePosition`: vertical position of volume text Customizable colors: - `obHighVolumeColor`, `obLowVolumeColor`, `obBearHighVolumeColor`, `obBearLowVolumeColor` - `obBullBorderColor`, `obBearBorderColor` - `obBullFillColor`, `obBearFillColor` - `volumeTextColor` --- ## 4. Screener Table - `showScreener`: display the screener table - `tablePosition`: table position (`Top Left`, `Top Right`, `Bottom Left`, `Bottom Right`) - `tableSize`: table size (`Small`, `Normal`, `Large`) The table shows: - Symbol, Timeframe - Type and status of Order Block - Number of retests - Bullish and bearish volumes --- ## 5. Trend Filters - EMA as a trend filter (`emaPeriod`, default 223) - `bullishTrend` if close > EMA - `bearishTrend` if close < EMA --- ## 6. ATR and Swing Points - ATR calculated with a customizable period (`atrLength`) - Swing High/Low for SL/TP calculation - `f_getSwingTargets` function to calculate SL and TP based on direction --- ## 7. Trade Logic ### Buy Limit on Bullish OB - Conditions: - New bullish block - Uptrend - RR > threshold (`rr_threshold`) - SL: `bullishOBPrice * (1 - atr * atrMultiplier)` - Multiple TPs: TP1 (50%), TP2 (80%), TP3 (100% max) - Quantity calculation based on percentage risk ### Sell Limit on Bearish OB - Conditions: - New bearish block - Downtrend - RR > threshold (`rr_threshold`) - SL: `bearishOBPrice * (1 + atr * atrMultiplier)` - Multiple TPs: TP1 (50%), TP2 (80%), TP3 (100% max) - Quantity calculation based on percentage risk --- ## 8. Order Management and Timeout - Close pending orders after `maxPendingBars` bars - Close open positions after `maxBarsOpen` bars - Label management for open orders --- ## 9. Alert Conditions - `bull_touch`: price inside maximum bullish volume zone - `bear_touch`: price inside maximum bearish volume zone - `bull_reject`: confirmation of bullish zone rejection - `bear_reject`: confirmation of bearish zone rejection - `new_bull`: new bullish block - `new_bear`: new bearish block --- ## 10. Level Calculation - Swing levels based on selected timeframe (`SelectPeriod`) - `xHigh` and `xLow` for S1 and R1 calculation - Levels plotted on chart --- ## 11. Take Profit / Stop Loss - Extended horizontal lines (`extendBars`) to visualize TP and SL - Customizable colors (`tpColor`, `slColor`) --- ## 12. Notes - Complete script based on Pine Script v5 - Advanced graphical management with boxes, lines, labels - Dynamically displays volumes and Order Blocks - Integrated internal screener --- ### End of Documentation
Strategi Pine Script®
oleh CRYPTO_EWT
Strategy with Reference Lines📊 Strategy with Reference Lines Description: This strategy uses a contrarian approach based on the analysis of the previous candle to identify entry and exit points. The strategy draws horizontal reference lines at important levels of the previous candle and generates buy/sell signals based on the candle's direction. Key Features: 🔹 Multi-Timeframe Analysis: Configurable for 1H, 2H, 3H, 4H, 6H, 12H, and 1D 🔹 Reference Lines: High, low, close, and midpoint (50%) of the previous candle 🔹 Visual Signals: Labels with prices and actions (BUY/SELL/TP) 🔹 Optional Trading: Enable/disable automatic order execution 🔹 Complete System: Automatic entry, Take Profit, and Stop Loss 🔹 Alerts: Notifications when a new candle is detected Strategy Logic: When the previous candle is POSITIVE: Signal: 🔴 SELL at the previous candle's close Take Profit: 🎯 Midpoint (50%) of the previous candle Stop Loss: 🔴 High of the previous candle When the previous candle is NEGATIVE: Signal: 🟢 BUY at the previous candle's close Take Profit: 🎯 Midpoint (50%) of the previous candle Stop Loss: 🟢 Low of the previous candle Visual Elements: Green Line: High of the previous candle (when positive) Red Line: Low of the previous candle (when negative) Yellow Line: Close of the previous candle (always present) Blue Line: Midpoint (50%) of the previous candle (always present) Labels: Prices and actions with emojis for easy identification Settings: Timeframe: Default 4H (configurable) Auto Trading: Disabled by default (safety) Alerts: Include entry prices, TP, and SL Recommended Usage: ✅ Visual Analysis: Use with trading disabled for analysis ✅ Backtesting: Enable trading to test historically ✅ Swing Trading: Ideal for 4H or higher timeframes ✅ Risk Management: Automatic SL and TP for protection Risk Disclaimer: This strategy is for educational and analysis purposes only. Always test in a simulation environment before using with real capital. Trading involves significant risks and may result in losses.
Strategi Pine Script®
oleh itasouza
MA Crossover Strategy V6//@version=6 strategy("MA Crossover Strategy V6", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // === Inputs === shortLength = input.int(9, title="Short MA Length", minval=1) longLength = input.int(21, title="Long MA Length", minval=1) useEMA = input.bool(false, title="Use EMA Instead of SMA") // === Moving Averages === shortMA = useEMA ? ta.ema(close, shortLength) : ta.sma(close, shortLength) longMA = useEMA ? ta.ema(close, longLength) : ta.sma(close, longLength) // === Plot MAs === plot(shortMA, color=color.orange, title="Short MA", linewidth=2) plot(longMA, color=color.blue, title="Long MA", linewidth=2) // === Entry Conditions === longCondition = ta.crossover(shortMA, longMA) shortCondition = ta.crossunder(shortMA, longMA) // === Strategy Logic === if (longCondition) strategy.entry("Long", strategy.long) if (shortCondition) strategy.entry("Short", strategy.short) // === Optional: Plot Buy/Sell Signals === plotshape(longCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small) plotshape(shortCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
Strategi Pine Script®
oleh anguyen724
ALMASTO – Pro Trend & Momentum (v1.1)ALMASTO — Pro Trend & Momentum Strategy Description: This strategy is designed for precision trading in both Forex (FX) and Crypto markets. It combines multi-timeframe trend confirmation (EMA200), momentum filters (RSI, MACD, ADX), and ATR-based dynamic risk management. ALMASTO — Pro Trend & Momentum Strategy automatically manages take-profit levels, stop-loss, and breakeven adjustments once TP1 is reached — providing a structured and emotion-free trading approach. Optimal Use Works best on lower timeframes (5m–15m) with strong liquidity sessions. Optimized for pairs like EURUSD, XAUUSD, and BTCUSDT. Built for trend-following setups and momentum reversals with high volatility confirmation. Recommended Settings 🔹 Forex – 5m EMA Fast = 34, EMA Slow = 200, HTF = 1H RSI (14): Long ≥ 55 / Short ≤ 45 MACD (8 / 21 / 5), ADX Len 10 / Min 27 ATR Len 7, Stop Loss = ATR × 2.1 TP1 = 1.1 RR, TP2 = 2.3 RR Session = 07:00–11:00 & 12:30–16:00 (Exchange Time) Risk = 0.8% per trade 🔹 Forex – 15m EMA Fast = 50, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 53 / Short ≤ 47 MACD (12 / 26 / 9), ADX Min 24 ATR Len 10, SL = ATR × 1.9 TP1 = 1.2 RR, TP2 = 2.6 RR Risk = 1.0% per trade 🔹 Crypto – 5m (BTC/USDT) EMA Fast = 34, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 56 / Short ≤ 44 MACD (8 / 21 / 5), ADX Min 30 ATR Len 7, SL = ATR × 2.2 TP1 = 1.0 RR, TP2 = 2.5 RR Session = 00:00–06:00 & 12:00–22:00 (UTC) Risk = 0.5% per trade Core Features ✅ Auto breakeven after TP1 ✅ Dual take-profit system (1:1 & 1:2 RR) ✅ ATR-based stop & trailing logic ✅ Filters for session time, volume, and volatility ✅ Candle-body vs ATR size filter to avoid noise ✅ Optional cooldown between trades Important Notes Use bar close confirmation only (barstate.isconfirmed) to avoid repainting on lower timeframes. Adjust commission (0.01–0.03%) and slippage (1–2 ticks) in Strategy Tester for realistic results. Avoid low-liquidity hours (after 21:00 UTC for FX / after midnight for crypto). Backtest using realistic broker data (e.g., BlackBull Markets / Bybit / Binance Futures). Best results occur during London & New York sessions with moderate volatility. ⚠️ Disclaimer This script is for educational and research purposes only. It does not constitute financial advice. Use proper risk management and test thoroughly before using on live accounts. Developed by KING FX Labs Built and optimized by Yousef Almasto — combining advanced price-action logic, multi-timeframe EMA structure, and volatility-adaptive ATR management. Tested across Forex, Gold, and Crypto markets to ensure consistent performance and minimal drawdown. 📈 “Precision Trading. Zero Emotion. Pure Momentum.”
Strategi Pine Script®
oleh A-Yousef
1
Larry Williams Bonus Track PatternThis strategy trades the day immediately following an Inside Day, under specific directional and timing conditions. It is designed for daily-based setups but executed on intraday charts to ensure orders are placed exactly at the open of the following day, rather than at the daily bar close. Entry Conditions Only trades on Monday, Thursday, or Friday. The previous day must be an Inside Day (its high is lower than the prior high and its low is higher than the prior low). The bar before the Inside Day must be bullish (close > open). On the following day (t): The daily open must be below both the Inside Day’s high and the highest high of the two days before that. A buy stop is placed at the highest high of the three previous days (Inside Day and the two days before it). If the new day’s open is already above that level (gap up), the strategy enters long immediately at the open. Exit Rules Stop Loss: Fixed, defined in points or percentage (user input). FPO (First Profitable Open): the position is closed at the first daily open after the entry day where the open price is above the average entry price (the first profitable open). Notes The script must be applied on an intraday timeframe (e.g., 15-minute or 1-hour) so that the strategy can: Detect the Inside Day pattern using daily data (request.security). Execute orders in real time at the next day’s open. Running it directly on the daily timeframe will delay executions by one bar due to Pine Script’s evaluation model.
Strategi Pine Script®
oleh xtradernet
DeepSeek_Multi-Timeframe EMA Strategy BTC_1HStrategy Description: "DeepSeek_Multi-Timeframe EMA Strategy BTC_1H" This is a trading strategy for TradingView that uses a multi-timeframe Exponential Moving Average (EMA) crossover system to generate trade signals on a 1-hour Bitcoin (BTC) chart. Core Logic & Trading Rules The strategy's logic is based on the alignment of two different EMA timeframes: Higher Timeframe (HTF) Trend Filter: A slower EMA (default: 50) is calculated on a higher timeframe (default: 1D). This defines the primary, long-term trend. Lower Timeframe (LTF) Signal Trigger: A faster EMA (default: 20) is calculated on the current chart timeframe (1H). This is used for precise entry and exit timing. Long Entry Conditions (All must be true): Trend Alignment: The LTF EMA (20) must be above the HTF EMA (50). Price Position: The current closing price must be above the HTF EMA (50), confirming the bullish trend. Entry Trigger: The closing price must cross above the LTF EMA (20). Exit Condition (for Long Positions): The strategy closes any open long position when: The LTF EMA (20) is below the HTF EMA (50) (counter-trend), and The closing price crosses below the LTF EMA (20). Key Features & Configuration Strategy Configuration: It uses a strategy script, which can perform backtesting and forward-testing. Initial Capital: $1,000. Order Sizing: 100% of equity per trade (default_qty_value = 100). Pyramiding: Only 1 active position is allowed at a time (pyramiding = 1). Commission: 0.1% is factored into calculations. Order Execution: Orders are executed at the close of the 1-hour bar where the signal appears (process_orders_on_close=true). Visualization: The HTF EMA (50) is plotted as a thick purple line. The LTF EMA (20) is plotted as an orange line. Green upward triangles below the bar indicate Long Entry signals. Red downward triangles above the bar indicate Exit (Short) signals. Summary In essence, this strategy aims to "buy the dip" within a larger uptrend. It waits for the higher timeframe to be bullish, and then enters on a short-term pullback to the faster moving average. It exits the trade when the shorter-term trend turns bearish relative to the longer-term trend. It does not take short/sell positions; it only goes long or is out of the market.
Strategi Pine Script®
oleh Benjamin_1706
1
PulseWhisper AI – Swing Trading Strategy)📌 PulseWhisper AI – Swing Trading Strategy AI-Powered Elliott Wave Trading for Stocks, Indices & Crypto PulseWhisper AI is a swing trading strategy that combines Elliott Wave market structure with advanced AI/ML confirmation filters to generate high-probability trade entries and clearly defined exit levels. This strategy is designed for traders who want precision entries, smart scaling, and disciplined risk management without guesswork. 🔹 CORE CONCEPT The strategy identifies Elliott Wave patterns (Wave 1–5 & ABC corrections) and times trades during the highest-probability phases (Wave 2 → Wave 3 and Wave C reversals). To eliminate subjectivity, PulseWhisper AI uses machine learning confirmation filters including: VWAP & Volume Profile (trend + liquidity confirmation) RSI & Momentum Divergence Candle Pattern Recognition Market Structure (higher highs/lows or lower highs/lows) AI Probability Scoring (confidence % on each signal) Only when Elliott Wave structure and AI confirmation agree → a trade signal is generated. ✅ ENTRY LOGIC Long Entry Example: Price completes corrective Wave 2 or Wave C Trend is bullish (above VWAP or higher timeframe trend) AI confidence is high Bullish confirmation candle → Buy signal Short Entry Example: Price completes corrective rally into Wave 2 or B Trend is bearish (below VWAP or lower highs/lows) AI confidence is high Bearish confirmation candle → Sell signal 🎯 EXIT & TARGETS (Built-In Scaling) PulseWhisper AI automatically calculates Fibonacci-based take-profit zones: TP1 (40%): 0.618 Fib extension TP2 (30%): 1.0 Fib extension Runner (30%): 1.272 or 1.618 extension (trend continuation) Stop-loss is based on structure (below Wave low / above swing high or adaptive ATR). ⏱️ RECOMMENDED TIMEFRAMES Swing Trading: 1H, 2H, 4H, Daily Optional confirmation from lower timeframes (15m / 30m). 📊 MARKETS SUPPORTED This strategy works exceptionally well on: SPX / SPY / ES QQQ / NQ Large-cap stocks (NVDA, AMD, AAPL, TSLA, etc.) Crypto (BTC, ETH) Forex & Futures 🧠 WHY IT WORKS Most Elliott Wave traders fail due to subjective wave counts and emotional trading. PulseWhisper AI solves this by: ✅ Automated wave logic ✅ Objective AI-based confirmations ✅ Pre-programmed scaling exits ✅ Built-in discipline & consistency 🧪 BACKTESTING & OPTIMIZATION The strategy includes: Trend filters Risk management parameters Multi-timeframe validation AI confidence threshold Users can adjust settings to match their risk profile & markets. ⚠️ DISCLAIMER This script is for educational purposes only and not financial advice. Past performance does not guarantee future results. Always use proper risk management. 🚀 FINAL NOTE PulseWhisper AI is built for traders who want a professional, structured, and AI-enhanced approach to swing trading. No guessing. No emotions. Just high-probability wave-based setups enhanced by artificial intelligence. Ride the Wave. Trade with AI Precision.
Strategi Pine Script®
oleh hotGnu93707
WMA Slope-Confirm Strategy [Highly Customizable]WMA 1/9 Slope-Confirm Strategy Trend-following strategy that buys only when both fast (WMA 1) and slow (WMA 9) moving averages are rising, with the fast above the slow. Optional slope thresholds, ATR volatility filter, session/time filters, cooldown after exits, and stop/target management. Designed to reduce false entries in choppy markets while capturing sustained momentum swings. #WMA #trendfollowing #momentum #ATR #breakouts #algo #strategy
Strategi Pine Script®
oleh pjmauldin
4hr / BTCBTCUSDT.P / 4hr 趨勢線交易策略 設定可以如我圖表 也可以自己找合適的 測試請用最大虧損的三倍金額下去打 圖以含手續費(0.06%) 可以用小金額去打 最大淨利與最大虧損績效比 1:10 平均獲利/虧損盈虧比 2.135 長期放保證獲利 沒獲利或獲利較小的那年通常是大事件 如2022 有問題私訊 謝謝 BTCUSDT.P / 4hr Trendline Trading Strategy You can set it up the same way as shown on my chart, or find your own suitable setup. For testing, please use three times the maximum loss as your trading capital. The chart should include fees (0.06%). You can trade with a small amount. Performance: Maximum profit to maximum loss ratio: 1:10 Average profit/loss ratio: 2.135 Guaranteed profit in the long term Years with no profit or smaller profit are usually caused by major events, such as 2022. If you have any questions, please DM me. Thank you.
Strategi Pine Script®
oleh zxc3132762
MACD Master Strategy Suite🧩 Overview The MACD Master Strategy Suite is not a basic MACD crossover system, but a complete backtesting tool designed for traders who want to explore and optimize MACD-based logic. This suite offers a host of configurable options that transform the standard MACD into a powerful research framework. You can test multiple entry styles, apply trend filters, run contrarian setups, and study seasonality — all from one script. ⚙️ Key Features Multiple MACD entry modes: classic cross, zero-line flip, pullback, momentum burst, divergence, and more. Dual-EMA trend filter with optional Contrarian Mode. Higher-timeframe trend confirmation. Calendar filters for weekday, month, and day-of-month testing. Realistic trade management: stop/target exits, cooldowns, and same-bar recalculation guard. Adjustable position sizing and leverage for accurate SPY-style backtests. 🧠 How It Differs From TradingView’s Built-In MACD Strategy The built-in MACD strategy uses only histogram zero-cross entries with no filters or risk controls. The MACD Master Strategy Suite expands this into a fully modular testing environment, allowing you to analyze how different MACD behaviors perform under diverse market conditions — turning MACD from a simple signal into a measurable system. ⚖️ Disclaimer For research and educational use only. This script does not constitute financial advice or guarantee performance.
Strategi Pine Script®
oleh ChartChow
Rocket Scalper 1.0 Bullish onlyThis is a premium, invite-only strategy designed for high-frequency, bullish micro-scalping. It is engineered to identify and exploit fast continuation moves during peak market activity, prioritizing high win-rate results over high individual R:R targets. 🛡️ The Strategy's Proprietary Edge The Rocket Scalper 1.0 operates based on three independent, proprietary logic blocks that must align before a trade is considered: Adaptive Trend Filter: Uses a unique dual-period moving average system to ensure entries are only generated in alignment with the prevailing short-term trend direction. Market Momentum Validator: A proprietary momentum reading that confirms institutional interest and sufficient price velocity, filtering out slow, choppy movements. Volume Confirmation Engine: Requires a validated surge in trading volume to confirm the strength and sustainability of the breakout, significantly reducing false signals. Trade Execution Window: To maximize efficiency and signal quality, trading is strictly limited to the most liquid hours: US Session (8:00 AM - 4:00 PM ET / 12:00 - 20:00 UTC). 💰 Risk Management & Performance Focus This strategy is built for capital preservation and compounding: Dynamic Loss Control: Employs an Adaptive ATR Stop Loss that automatically adjusts to current market volatility, ensuring tight, controlled losses. You can fine-tune its tightness using the Vol. SL Multiplier setting. Dual-Phase Profit System: Positions are split, with the first half securing a 1:1 R target quickly, and the second half utilizing a custom Trailing Stop system to capture extended runs. Breakeven Security: An optional feature automatically moves the stop to a minimum profit level after a small favorable move, effectively making the trade risk-free. ⚙️ Key Customization Parameters The strategy includes key adjustable settings for optimization without revealing the core logic: Trend Sensitivity, Vol. SL Multiplier, Trail Multiplier, and Confirmation Threshold. 🔒 Access & Membership Information (Crucial for Stan Store) This is a premium, invite-only script. Access is granted only upon successful membership application. To begin the access process and for all membership details, please review the information located in the Author's Signature directly below this description. Access permissions are granted manually to your TradingView account after verification of your membership. ⚠️ Mandatory Risk Disclaimer RISK DISCLOSURE: This strategy is provided for educational and informational use only. It does not constitute financial or trading advice, and is not a recommendation to trade any financial instrument. Trading carries a high risk of loss. Consult a professional financial advisor. Past performance is not an indicator of future results. By using this script, you accept full responsibility for all trading decisions.
Strategi Pine Script®
oleh ngukevin90
Rubotics Williams Fractals Strategy ## 📌 Strategy Overview This script implements a trend-following breakout strategy that uses Williams Fractals for trade entries, moving average filters for trend confirmation, and static stop-loss and take-profit levels based on either swing points or ATR volatility. It is designed for traders looking for a structured, rules-based system with risk-to-reward targeting and clear visual feedback on the chart. ## ✅ Core Components ### 🔷 1. Fractal-Based Entries The strategy uses Williams-style fractals to detect local highs and lows. A buy stop is placed just above an up fractal when price is trending upwards, and a sell stop is placed just below a down fractal when price is trending downwards. These fractals act as breakout triggers. * Configurable number of bars (`n`) to define the fractal. * Optional entry offset in pips to avoid false breakouts. ### 🔷 2. Trend Filter (MA) To avoid trading against the trend, the system includes a moving average filter . Entries are only allowed: * Long: if price is above the MA. * Short: if price is below the MA. The moving average type is user-selectable ( SMA, EMA, WMA, or RMA ), with a customizable period. ### 🔷 3. Stop-Loss (SL) Options You can choose between two SL methods: * Recent swing high/low : Based on a user-defined lookback. * ATR-based : SL is set at a multiple of the ATR value at entry. The script will automatically select the more conservative (wider) SL if both options are enabled. ### 🔷 4. Take-Profit (TP) Modes TP levels can be calculated in one of two ways: * Risk:Reward multiple : TP = entry ± (SL distance × RR ratio). * ATR-based : TP = entry ± (ATR × multiplier). This gives flexibility in how profit targets are measured and managed. ### 🔷 5. Position Sizing Orders are sized dynamically based on the percentage of account equity . This helps normalize risk across different market conditions or symbols. ## 📊 Visual Aids & Chart Presentation The strategy includes helpful visual cues: * Fractal markers on the chart when new confirmed fractals appear. * Static horizontal lines for Entry, TP, and SL, visible only while a position is active. * Color-filled zones : * Red area between Entry and SL = risk zone * Green area between Entry and TP = reward zone These visual layers help users clearly see trade setup logic and risk/reward characteristics. ## 🧪 How the Strategy Works (Summary) 1. Detects new confirmed fractals using the `n/n` lookback logic. 2. Checks if the trend filter (MA) agrees with the direction of the trade. 3. Places a stop order at the next bar once the fractal is confirmed and conditions are met. 4. Upon fill: * Captures entry price . * Calculates static TP and SL , which never change after entry. * Exits the position if either level is hit. 5. Highlights risk/reward zones on the chart until the position is closed. ## ⚠️ Risk Disclaimer > This strategy is for educational and informational purposes only . It does not constitute financial advice or a trading recommendation. Always test any strategy thoroughly in a simulated environment and ensure it aligns with your personal risk tolerance, trading style, and market understanding. Trading involves risk, and past performance does not guarantee future results . ## 🛠 Customization Options * Fractal Sensitivity : Adjust `n` for more or less frequent signals. * MA Filter Type and Length : Adapt to different trends or timeframes. * Risk Model : Choose between Swing/ATR SL, RR/ATR TP. * Position Sizing : Set your equity allocation per trade. * Pip Size & Offset : Tailor to your instrument (e.g., FX, indices, crypto). ## 🔐 Script Transparency This script is fully open-source . No proprietary logic is hidden. All calculations and logic are visible and editable in the Pine Script code. ## 📅 Best Use Case Ideal for traders who: * Prefer price action breakout entries confirmed by trend direction. * Want clear risk-to-reward setups . * Appreciate chart-based feedback (e.g., entry/TP/SL lines and zones). * Are looking for a swing trading strategy adaptable across instruments (FX, crypto, indices, etc.).
Strategi Pine Script®
oleh Rubotics