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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。
Pine Script® strategy
by SpeculationLab
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
Pine Script® strategy
by CRYPTO_EWT
Tight Entry Trend Engine Strategy═══════════════════════════════════════ TIGHT ENTRY TREND ENGINE ═══════════════════════════════════════ A breakout-based trend-following system designed to capture explosive moves by entering at precise resistance/support breakouts with minimal entry risk and massive profit potential. ⚠️ LOW WIN RATE, HIGH REWARD SYSTEM ⚠️ This is NOT a high win-rate strategy. Expect 25-35% winners, but when it hits, winners are typically 10X+ larger than losers. ═══════════════════════════════════════ 🎯 WHAT THIS SYSTEM DOES ═══════════════════════════════════════ The Tight Entry Trend Engine identifies powerful breakout opportunities by detecting when price breaks through established trendlines with confirmation from higher timeframe trends: 1. DYNAMIC TRENDLINE DETECTION (3 BANKS) • Automatically draws support and resistance trendlines • 3 separate "banks" capture short-term, medium-term, and long-term levels • Each bank has configurable parameters (required pivot touch count, angle limits, lengths) 2. BREAKOUT ENTRY TIMING • Enters LONG when price breaks ABOVE resistance trendlines • Enters SHORT when price breaks BELOW support trendlines • Entry Alert occurs at the exact moment of breakout = "tight entry" • Stop-loss placed just below/above the broken trendline (configurable) 3. HIGHER TIMEFRAME TREND FILTER • Uses Hull Moving Average (HMA) on higher timeframe for trend following • Auto-adjusts HTF based on your chart timeframe • Optional filters prevent entries against major trend • Optional "overextension" filter avoids buying parabolic moves 4. VOLATILITY-ADAPTIVE RISK MANAGEMENT • Stop-loss calculated using Average True Range (ATR) • Tighter stops = better R:R • Profit targets adjust dynamically with volatility • Breakeven stop moves automatically when in profit • Extended profit targets when far from HTF trend ═══════════════════════════════════════ 📊 HOW IT WORKS (METHODOLOGY) ═══════════════════════════════════════ STEP 1: TRENDLINE FORMATION The system continuously scans for pivot highs and pivot lows to construct trendlines. You control: BANK 1 (Short-Term): - Pivot Length: How many bars to look back for swing points - Min Touches: How many pivots needed to form a line (default: 3) - Max Length: How far back lines can reach (default: 180 bars) - Angle Limits: Maximum steepness allowed for valid trendlines - Tolerance: How close pivots must align to form horizontal lines BANK 2 (Medium-Term): - Slightly longer pivot periods for more significant levels - Captures medium-term trend structure - Default Max Length: 200 bars BANK 3 (Long-Term): - Focuses on major support/resistance zones - Often uses horizontal levels (angled lines disabled by default) - Default Max Length: 300 bars The system draws RESISTANCE lines (red) above price and SUPPORT lines (green) below price. These adapt in real-time as new pivots form. STEP 2: BREAKOUT DETECTION LONG SIGNALS: - Price closes above a resistance trendline - Higher timeframe trend is up (optional filter) - Price not overextended from HTF trend (optional filter) - No position currently open SHORT SIGNALS: - Price closes below a support trendline - Higher timeframe trend is down (optional filter) - Price not overextended from HTF trend (optional filter) - No position currently open The "tight" aspect: Because you're entering right at the trendline break, your stop-loss can be placed very close (just below the broken resistance for longs), creating exceptional risk/reward ratios. STEP 3: POSITION SIZING Choose between: - Fixed $ Risk Per Trade: Risk same dollar amount every trade - % Risk Per Trade: Risk percentage of current equity Position size automatically calculated based on: - Your risk amount - Distance to stop-loss (ATR-based) - Works with stocks, futures, crypto (auto-adjusts for contract multipliers) STEP 4: EXIT MANAGEMENT Multiple exit methods working together: - PROFIT TARGET: Exits when profit reaches 100x your risk - EXTENDED PROFIT: Earlier exit (80R) when very far from HTF trend - STOP LOSS: Fixed ATR-based stop below entry - HTF TREND EXIT: Exits when price crosses below HTF trend with profit - BREAKEVEN PULLBACK: Exits if profit drops below 0.6R after reaching breakeven - PARTIAL PROFITS: Optional - take partial profits at specified R-multiple ═══════════════════════════════════════ 🔧 KEY COMPONENTS EXPLAINED ═══════════════════════════════════════ HULL MOVING AVERAGE (HMA) A smoothed moving average that reduces lag compared to traditional MAs. The system uses HMA on a higher timeframe to determine the dominant trend direction. You can choose: - Auto HTF: System picks appropriate HTF based on your chart timeframe - Manual HTF: You specify the higher timeframe AVERAGE TRUE RANGE (ATR) Measures current market volatility. Used for: - Stop-loss distance (tighter when volatility low) - Profit targets (larger when volatility high) - Position sizing (smaller positions in volatile conditions) - Breakeven trigger distance TRENDLINE ANGLE FILTERING Each trendline bank has angle limits to ensure quality: - Resistance lines: Max downward/upward slope allowed - Support lines: Max downward/upward slope allowed - Angles automatically adjust based on current volatility - Prevents overly steep/unreliable trendlines SENSITIVITY CONTROL One master slider adjusts multiple parameters: - Trendline detection sensitivity - HTF MA length - Exit timing - Auto-adjusts for daily+ timeframes (60% increase) ═══════════════════════════════════════ ⚙️ WHAT YOU SEE ON YOUR CHART ═══════════════════════════════════════ TRENDLINES: ✓ Red resistance lines above price ✓ Green support lines below price ✓ Orange broken lines (past breakouts) ✓ Lines extend to show current levels HTF TREND: ✓ Thick colored line showing higher timeframe trend ✓ Color gradient: Red (bearish) → Orange → Yellow → Green (bullish) ✓ 250-bar smoothed curve for visual clarity ENTRY/EXIT SIGNALS: ✓ Small green dot below bar = Long entry ✓ Small red dot above bar = Short entry ✓ Small red dot above = Long exit ✓ Small black dot below = Short exit OPTIONAL DETAILED LABELS: ✓ Bank number that triggered entry (Bank 1, 2, or 3) ✓ Exit reason (Profit Target, Stop Loss, HTF Exit, etc.) ✓ Partial profit notifications POSITION TRACKING: ✓ Yellow dashed line at entry price (extends right) ✓ Green/red fill showing current profit/loss zone ✓ Lime arrows at top = Currently in long position ✓ Red arrows at bottom = Currently in short position ✓ Gray background = No position (flat) STATS TABLE (Top Right): ✓ Current position (LONG/SHORT/FLAT) ✓ Risk per trade ($ or %) ✓ Entry price ✓ Unrealized P/L in dollars ✓ P/L in R-multiples (how many R's profit/loss) ✓ Average winner/loser R ($ mode) OR CAGR (% mode) ═══════════════════════════════════════ 📈 OPTIMAL USAGE ═══════════════════════════════════════ BEST ASSETS: - NASDAQ:QQQ on 1-hour (reg) chart ⭐ (PRIMARY OPTIMIZATION) - Strong trending stocks: NVDA, AAPL, TSLA, MSFT, GOOGL, AMZN - High volatility tech stocks - Crypto: BTC, ETH - Any liquid asset with clear trends and momentum (GOLD) AVOID: - Low volatility stocks - Ranging/choppy markets - Penny stocks or illiquid assets - Assets without clear directional movement BEST TIMEFRAMES: - PRIMARY: 1-hour charts (optimal for QQQ) - ALSO EXCELLENT: 2H, 4H, 8H - WORKS: 15min, 30min (only momentum leaders, more noise) - WORKS WITH ADJUSTMENTS: 1D, 2D (decrease trendline pivot lengths) ═══════════════════════════════════════ 📊 BACKTEST RESULTS (QQQ 1H (Reg hours), 1999-2024) ═══════════════════════════════════════ The system showed on NASDAQ:QQQ 1-hour timeframe (regular hours): - Total Return: 1,100,000%+ over 24 years - Total Trades: 500+ - Win Rate: ~20-24% (LOW - this is by design!) - Average Winner: 8-15% gain - Average Loser: 2-4% loss - Win/Loss Ratio: 10:1 (winners much bigger than losers) - Profit Factor: 3+ - Max Drawdown: 45-50% - Risk per trade: 3% of capital KEY INSIGHT: This is a LOW WIN RATE, HIGH REWARD system. You will lose more trades than you win, but the few winners are so large they more than compensate for many small losses. IMPORTANT: These are backtested results using optimal parameters on historical data. Real trading results will vary based on: - Your execution and timing - Slippage and commissions - Your emotional discipline - Market conditions during your trading period ═══════════════════════════════════════ 🎓 WHO IS THIS FOR? ═══════════════════════════════════════ IDEAL FOR: ✓ Swing traders comfortable holding winners for longer period ✓ Part-time traders (1H = check 2-3x per day) ✓ Traders seeking exceptional risk/reward ratios ✓ Those comfortable with low win rates if winners are huge ✓ Technical analysis enthusiasts ✓ Breakout traders ✓ Trend followers ═══════════════════════════════════════ 🚀 GETTING STARTED - STEP BY STEP ═══════════════════════════════════════ STEP 1: APPLY TO YOUR CHART - Search "Tight Entry Trend Engine" in indicators - Click to apply to your chart - Trendlines and HTF line will appear immediately STEP 2: CHOOSE YOUR SETTINGS For BEGINNERS - Use These Settings First: 1. Trade Direction & Filters: • ENABLE LONGS: ✓ ON • ENABLE SHORTS: ✗ OFF (start with longs only) • Sensitivity: 1.0 (default) • HTF Trend Entry Filter: ✓ ON (safer entries) • Block Entries When Overextended: ✓ ON (avoid parabolic tops) 2. Position Sizing & Risk: • Position Sizing: "Per Risk" • RISK Type: "$ Per Trade" • Risk Amount: $200 (or 1-3% of your account) 3. Visual Settings: • Show Support Lines: ✗ OFF (unless trading shorts) • Show Detailed Entry/Exit Labels: ✓ ON • Show Stats Table: ✓ ON • Show Entry Line & P/L Fill: ✓ ON 4. Leave everything else at DEFAULT for now STEP 3: UNDERSTAND WHAT YOU SEE When trendlines appear: - RED lines above = Resistance (watch for price breaking UP through these) - GREEN lines below = Support (watch for price breaking DOWN) - When price breaks a red line = Potential LONG entry - When price breaks a green line = Potential SHORT entry The HTF trend line (thick colored): - Green/lime = Strong uptrend (favorable for longs) - Red = Strong downtrend (favorable for shorts if enabled) - Orange/yellow = Transitioning STEP 4: OBSERVE SIGNALS - Small GREEN dot below bar = System entered LONG - Small RED dot above bar = System exited LONG - Check the label to see which "Bank" triggered (Bank 1, 2, or 3) - Watch the yellow entry line and colored fill show your P/L STEP 5: PAPER TRADE FIRST - Use TradingView's paper trading feature - Watch how signals perform on YOUR chosen asset - Understand the win rate will be LOW (20-35%) - Verify that winners are indeed much larger than losers - Test for at least 20-30 signals before going live STEP 6: OPTIMIZE FOR YOUR ASSET (OPTIONAL) If default settings aren't working well: For FASTER signals (more trades): - Reduce Pivot Length 1 to 3-4 - Reduce Max Length 1 to 120-150 - Increase Sensitivity to 1.2-1.5 For SLOWER signals (higher quality): - Increase Pivot Length 1 to 7-10 - Increase Max Length 1 to 250+ - Decrease Sensitivity to 0.7-0.9 For DAILY timeframes: - Increase all Pivot Lengths by 30-50% - Increase all Max Lengths significantly - Sensitivity: 0.6-0.8 ═══════════════════════════════════════ ⚙️ ADVANCED SETTINGS EXPLAINED ═══════════════════════════════════════ TRENDLINE BANK SETTINGS: Each bank (1, 2, 3) has these parameters: - Min Touches: Minimum pivots to form a line - Lower (2) = More lines, earlier detection - Higher (4+) = Fewer lines, higher quality - Pivot Length: Lookback for swing points - Lower (3-5) = Reacts to recent price action - Higher (10+) = Only major swing points - Max Length: How old a trendline can be - Shorter (100-150) = Only recent lines - Longer (300+) = Include historical levels - Tolerance: Alignment strictness for horizontal lines - Lower (3.0-3.5) = Very strict horizontal - Higher (4.5+) = More forgiving alignment - Allow Angled Lines: Enable diagonal trendlines - ON = Catches sloped support/resistance - OFF = Only horizontal levels - Angle Limits: Maximum steepness allowed - Lower (1-2) = Only gentle slopes - Higher (4-6) = Accept steeper angles - Automatically adjusts for volatility ATR MULTIPLIERS: - STOP LOSS ATR (0.6): Distance to stop-loss - Lower (0.4-0.5) = Tighter stops, stopped out more - Higher (0.8-1.0) = Wider stops, more room - PROFIT TARGET ATR (100): Main profit target - This is 100x your risk = 10,000% R:R - Lower (50-80) = Take profits sooner - Higher (120+) = Let winners run longer - BREAKEVEN ATR (40): When to move stop to breakeven - Lower (20-30) = Protect profits earlier - Higher (60+) = Give more room before protecting HIGHER TIMEFRAME: - Auto HTF: Automatically selects appropriate HTF - 5min chart → uses 2H - 15-30min → uses 6H - 1-4H → uses 2D - Daily → uses 4D - HTF MA Length (300): HMA period for trend - Lower (150-250) = More responsive - Higher (400-500) = Smoother, less whipsaw - HTF Trend Following Exit: Exits when crossing HTF - ON = Additional exit method - OFF = Rely only on profit targets/stops - HTF Trend Entry Filter: Only trade with HTF trend - ON = Safer, fewer signals - OFF = More aggressive, more signals - Block Entries When Overextended: Prevents chasing - ON = Avoids parabolic tops/bottoms - OFF = Enter all breakouts regardless ═══════════════════════════════════════ 💡 TRADING PHILOSOPHY & EXPECTATIONS ═══════════════════════════════════════ This system is built on one core principle: "ACCEPT SMALL, FREQUENT LOSSES TO CAPTURE RARE, MASSIVE WINS" What this means: - You WILL lose 65%-75% of your trades - Most losses will be small (1-2R) - Some winners hit 80R+ - Over time, math works in your favour
Pine Script® strategy
by trend-wolf
Trend Catcher and Mean ReversionPlease DM if you want to use this strategy. it took long time to make this code profitable using 3 parameters only! it allow you to: 1- Pyramid as you see fit. 2- allow option to use trend catching strategy ( while keeping mean reversion strategy) 3- Time filter to limit trading and exit at your preferred time. 4- it works for long, short or both positions. 5- has trailing tp as an option as well while keeping initial sl as hard stop 6- tp multiple (of stop loss) is optional ongoing working for alerts and automation. More on that for subscribers only. i will charge the minimum fee to utilize this code as we don't need your money but we need people to support our vision.
Pine Script® strategy
by waseem_bogary
SRFRZ EMA Crossover with RSI StrategySRFRZ EMA Crossover with RSI Strategy 1. Overview Strategy Name: SRFRZ EMA Crossover with RSI Strategy Summary: A trend-following strategy designed for Indian stock and index markets, operating on any timeframe (optimized for 1H or 4H charts). It combines a 9-period and 21-period EMA crossover with RSI confirmation to identify high-probability long entries during the Indian trading session (9:15 AM–3:25 PM IST). Backtested with a fixed 20% capital allocation per trade, 3% stop loss, and 50% take profit, it aims for consistent returns in trending markets. Intended Audience: Intermediate traders familiar with EMA and RSI, seeking automated signals for Indian markets. 2. How It Works (Core Logic) Entry Conditions (Long/Buy Signal): Primary Trigger: A "Golden Cross" occurs when the 9-period EMA crosses above the 21-period EMA, signaling bullish momentum. RSI Confirmation: RSI (14-period) must be above 55, or cross above 55, to confirm strong momentum. Trend Filter: The 9-period EMA must remain above the 21-period EMA for delayed RSI-triggered entries. Session Filter: Trades are only executed during the Indian market session (9:15 AM–3:25 PM IST, Monday–Friday). Exit Conditions: Take Profit (TP): Fixed at 50% above the entry price (e.g., entry at ₹100, TP at ₹150). Stop Loss (SL): Fixed at 3% below the entry price (e.g., entry at ₹100, SL at ₹97). Indicator-Based Exit: Close the position if a "Death Cross" occurs (21-period EMA crosses above 9-period EMA). Position Sizing: Allocates 20% of initial capital (₹100,000 default) per trade, calculated as (initial_capital * 0.20) / entry_price. 3. Key Indicators & Parameters Primary Indicators: EMA (9-period): Fast-moving average to capture short-term trends (plotted in blue). EMA (21-period): Slower-moving average for trend confirmation (plotted in red). RSI (14-period): Measures momentum, with a threshold of 55 for bullish confirmation (plotted in purple). Customizable Settings in Pine Script: initial_capital: Default ₹100,000 (adjust based on your account size). qty_percent: Default 20% of capital per trade (adjust for risk tolerance). sl_percent: Default 3% stop loss (adjust for volatility). tp_percent: Default 50% take profit (adjust for reward targets). session_time: Default "0915-1525:1234567" (Indian session, adjustable for other markets). Default Values: Optimized for Indian stocks/indices (e.g., NIFTY 50) on 1H or 4H charts. Risk Management: Always use the built-in 3% stop loss. Avoid trading during major news events (e.g., RBI announcements), as Pine Script cannot filter these. Risk only 20% of capital per trade to diversify exposure. Pro Tips: Combine with support/resistance levels for manual confirmation. Test on a demo account to validate performance on your chosen asset. Monitor RSI for overbought conditions (>70) to anticipate reversals. 4. Visuals on Chart Plotted Indicators: Blue line: 9-period EMA. Red line: 21-period EMA. Purple line: RSI (14-period) in a separate pane. Trade Signals: Green triangle (below bar): Long entry. Red triangle (above bar): Long exit (via TP, SL, or Death Cross). 5. Disclaimer & Notes Risk Warning: Past performance is not indicative of future results. Trading involves significant risk. This strategy is for educational purposes only and is not financial advice. Customization: The script is open-source (modify freely). Fork it to add short-selling logic or additional filters. Note: The strategy avoids trades during non-session hours but cannot filter news events. Manually check economic calendars. Add the script to your chart and adjust inputs (e.g., capital, TP/SL percentages). Enable alerts for "Long Entry" and "Long Exit TP/SL" or "EMA Exit" to automate signals. Optionally, connect to a broker via webhooks for auto-trading (consult your broker’s API).
Pine Script® strategy
by SARRUPAWASKAR
AlgoAIDESIGNED FOR HEIKEN ASHI BARS Gain Access here: algoai.store AlgoAI The Dark Edge of Trading An AI-powered TradingView strategy that thrives across all markets. Short altcoin pumps. Ride NAS100 waves. Dominate gold, FX, stocks, and futures — all with one AI brain. #1 Semi-Automatic Trading (Recommended) Set up alerts on AlgoAI signals. As they come in, grade the setups and choose to enter manually. This gives you full control while leveraging AI precision. #2 Fully Automated Trading Pass signals via webhooks to TradersPost for futures or PineConnector for FX. Note: When running fully automated, it's suggested to use long-only or short-only mode to avoid side swiping and potential unintended drawdown. BITSTAMP:BTCUSD
Pine Script® strategy
by ArtificialIntelligenceAlgo
Liquidity+FVG+OB Strategy (v6)How the strategy works (summary) Entry Long when a Bullish FVG is detected (optionally requires a recent Bullish OB). Entry Short when a Bearish FVG is detected (optionally requires a recent Bearish OB). Stop Loss and Take Profit are placed using ATR multiples (configurable). Position sizing is fixed contract/lot size (configurable). You can require OB confirmation (within ob_confirm_window bars). Alerts still exist and visuals are preserved.
Pine Script® strategy
by shiyamsunder87
G. Santostasi Bitcoin Power Law StrategyG. Santostasi Bitcoin Power Law Strategy Overview The "G. Santostasi Bitcoin Power Law Strategy" is a TradingView strategy script built upon the foundational Bitcoin Power Law Theory by physicist Giovanni Santostasi. Unlike the companion Monte Carlo indicator, this strategy focuses on generating actionable buy entry and exit signals for trading Bitcoin, leveraging the normalized "Daily Slopes" metric to detect deviations from the long-term power-law trend. It employs two moving windows to compute local means (mu) of the Daily Slopes—a short-term 3-day window for responsive signals and a longer 2-week (14-day) window for establishing baseline bands. By comparing the short-term mu against deviation bands derived from the longer window's parameters, the strategy identifies entry points during undervalued dips and exit points during overvalued peaks. This approach capitalizes on Bitcoin's scale-invariant behavior, where price follows a power law P(t)= c t^n, with n~5.9. since the Genesis Block, resulting in diminishing but predictable returns. Backtested over Bitcoin's full history, the strategy boasts a 77% winning rate and a profit factor of 3.2, making it a robust tool for trend-following with mean-reversion elements. It emphasizes Bitcoin's long-term stability while navigating short-term oscillations, treating cycles as temporary deviations from the core power-law "DNA. "Core Concept: Daily Slopes The strategy inherits the Daily Slopes metric from the power-law framework, which normalizes daily logarithmic returns to reveal a stable local slope that oscillates around the global value of ~5.9.Definition and Calculation: Daily log returns: log⁡(P2/P1)\, where P2 and P1 are consecutive closing prices. Normalization: Divide by log⁡((t+1)/t), where ( t ) is days since the Genesis Block, yielding: Daily Slope=log⁡(P2/P1)log⁡((t+1)/t). This produces a "local n" that remains stable over time, with no long-term drift observed in Bitcoin's 16+ years of data. The metric accounts for diminishing returns, showing constant relative volatility in recent years despite absolute price stabilization. Distribution and Parameters: Daily Slopes are fitted to a t-location scale distribution over moving windows, estimating:μ (mu): The location/mean, stable around 5.9 globally. σ (sigma): Scale/volatility measure. ν (nu): Degrees of freedom for tail heaviness. For the strategy, focus is on mu and sigma from the windows, enabling deviation-based signals. Strategy Logic: Dual Moving Window Mus and Deviation Bands The strategy computes two mus via rolling fits to the t-distribution: Short Window mu (3 days): A fast-moving average of Daily Slopes, sensitive to immediate price action for timely signals. Long Window mu (2 weeks/14 days): A slower baseline, capturing medium-term trends and providing stability. Deviation bands are derived from the long window's mu and sigma: Upper Band: Long mu + Long sigma Lower Band: Long mu - Long sigma These bands represent 1-standard-deviation ranges around the longer-term mean, highlighting overbought and oversold conditions relative to the power-law trend. The short mu acts as a "signal line," crossing the bands to trigger trades. Plotting: Short mu: Responsive line for crossovers. Long mu: Central baseline. Bands: Upper (+σ) and lower (-σ) lines from the long window. Additional elements: Raw Daily Slopes and strategy signals (arrows for entries/exits). Entry and Exit Rules: The strategy generates long-only signals (buy/sell) based on crossovers, assuming a single-position approach without leverage or shorting: Buy Entry: Triggered when the short-window mu crosses above the lower band (long mu - long sigma). This detects potential local minima, signaling undervaluation and a reversion to the power-law mean. Sell Exit: Triggered when the short-window mu meets or crosses below the upper band (long mu + long sigma). This identifies local maxima, indicating overvaluation and a potential pullback. Trade Management: No stop-loss or take-profit hardcoded; users can add via TradingView settings. Positions close on exit signals, with re-entry on the next valid buy. Filters for false signals: Optional confirmation from global slope (e.g., only trade if long mu > 5.0) to align with bullish regimes. This crossover mechanic blends momentum (short mu) with mean-reversion (bands), exploiting Bitcoin's oscillatory nature around the power law without predicting bubbles or crashes explicitly. Performance Metrics: Backtested on BTCUSD daily data from the Genesis Block to present (assuming continuous updates):Winning Rate: 77% – A high hit rate due to the strategy's focus on statistically stable deviations. Profit Factor: 3.2 – Gross profits are 3.2 times gross losses, reflecting asymmetric upside from power-law reversion. Additional Stats (hypothetical based on historical fits): Average trade duration ~30-60 days; drawdown <20% in most cycles; outperforms buy-and-hold in volatile periods by avoiding peaks. Caveats: Past performance is not indicative of future results. The strategy shines in trending markets but may underperform in prolonged sideways action. Transaction costs (e.g., fees, slippage) not included in base metrics. Usage Notes Inputs: Customize window lengths (default: 3 days short, 14 days long), global slope (5.9), and signal thresholds. Enable alerts for entries/exits. Visuals: Strategy overlays on log-scale BTCUSD charts; use with volume or RSI for confirmation. Limitations: Designed for spot trading; not optimized for derivatives or high-frequency. Assumes power-law persistence—major regime shifts (e.g., adoption plateaus) could impact efficacy. Extensions: Adapt for other power-law metrics like network addresses or hash rate for multi-signal confirmation. This strategy operationalizes Santostasi's insights into a practical trading system, prioritizing data-driven decisions over speculation.
Pine Script® strategy
by Quantonomyfund
1
AR Alerts Basic 🤖A non-repainting, ATR-based trailing stop strategy and session-based trading filters. Features: Dynamic buy/sell trailing stops using ATR for stable exits. EMA exit for remaining positions to lock in profits. Time session filters: trade only during defined market hours. Trend detection using EMA50/EMA100 coloring. Backtest dashboard Table showing total trades, win rate, P&L, growth, profit factor, and max drawdown. can be uncheck from Style Tab. Fully non-repainting signals for reliable historical testing. Perfect for traders who want stable signals, trailing stops, and a clean backtest summary in one indicator. @infonatics
Pine Script® strategy
by infonatics
Alpha SignalsThis strategy is designed to highlight potential short-term market setups using a fast and slow EMA crossover system on a 5-minute chart. It provides visual signals directly on the chart to help traders observe trend changes and potential entry points. Key Features: EMA Crossover Entries – The strategy enters long trades when the fast EMA crosses above the slow EMA and short trades when the fast EMA crosses below the slow EMA. Time-Based Exits – Trades are automatically closed after a configurable number of bars to manage exposure. Visual Alerts – Buy and sell signals are displayed as labels directly on the chart for easy interpretation. Configurable Settings – Users can adjust fast and slow EMA lengths as well as the exit bar count to suit their trading preferences. Usage: Suitable for short-term traders focusing on the NQ1 futures contract or other instruments with similar volatility. Can be used for observation, back testing, or as a confirmation tool alongside other strategies. Does not guarantee profitability; intended for educational purposes and strategy testing only.
Pine Script® strategy
by danny_faltas
Small-Cap — Sell Every Spike (Rendon1) Small-Cap — Sell Every Spike v6 — Strict, No Look-Ahead Educational use only. This is not financial advice or a signal service. This strategy targets low/ mid-float runners (≤ ~20M) that make parabolic spikes. It shorts qualified spikes and scales out into flushes. Logic is deliberately simple and transparent to avoid curve-fit. What the strategy does Detects a parabolic up move using: Fast ROC over N bars Big range vs ATR Volume spike vs SMA Fresh higher high (no stale spikes) Enters short at bar close when conditions are met (no same-bar fills). Manages exits with ATR targets and optional % covers. Tracks float rotation intraday (manual float input) and blocks trades above a hard limit. Draws daily spike-high resistance from confirmed daily bars (no repaint / no look-ahead). Timeframes & market Designed for 1–5 minute charts. Intended for US small-caps; turn Premarket on. Works intraday; avoid illiquid tickers or names with constant halts. Entry, Exit, Risk (short side) Entry: parabolic spike (ROC + Range≥ATR×K + Vol≥SMA×K, new HH). Optional confirmations (OFF by default to “sell every spike”): upper-wick and VWAP cross-down. Stop: ATR stop above entry (default 1.2× ATR). Targets: TP1 = 1.0× ATR, TP2 = 2.0× ATR + optional 10/20/30% covers. Safety: skip trades if RVOL is low or Float Rotation exceeds your limit (default warn 5×, hard 7×). Inputs (Balanced defaults) Price band: $2–$10 Float Shares: set per ticker (from Finviz). RVOL(50) ≥ 1.5× ROC(5) ≥ 1.0%, Range ≥ 1.6× ATR, Vol ≥ 1.8× SMA Cooldown: 10 bars; Max trades/day: 6 Optional: Require wick (≥35%) and/or Require VWAP cross-down. Presets suggestion: • Balanced (defaults above) • Safer: wick+VWAP ON, Range≥1.8×, trades/day 3–4 • Micro-float (<5M): ROC 1.4–1.8%, Range≥1.9–2.2×, Vol≥2.2×, RVOL≥2.0, wick 40–50% No look-ahead / repaint notes Daily spike-highs use request.security(..., lookahead_off) and shifted → only closed daily bars. Orders arm next bar after entry; entries execute at bar close. VWAP/ATR/ROC/Vol/RVOL are computed on the chart timeframe (no HTF peeking). How to use Build a watchlist: Float <20M, RelVol >2, Today +20% (Finviz). Open 1–5m chart, enter Float Shares for the ticker. Start with Balanced, flip to Safer on halty/SSR names or repeated VWAP reclaims. Scale out into flushes; respect the stop and rotation guard. Limitations & risk Backtests on small-caps can be optimistic due to slippage, spreads, halts, SSR, and limited premarket data. Always use conservative sizing. Low-float stocks can squeeze violently. Alerts Parabolic UP (candidate short) SHORT Armed (conditions met; entry at bar close)
Pine Script® strategy
by Rendon1
Hilly's Reversal Scalping Strategy - 5 Min CandlesHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Set Timeframe: Ensure the chart is set to 5-minute candles (TradingView: right-click chart > Timeframe > 5 Minutes). Check for Errors: Verify no errors appear in the Pine Editor console. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” labels and triangle-up arrows for bullish reversals (e.g., bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom in a downtrend). Red “SELL” labels and triangle-down arrows for bearish reversals (e.g., bearish engulfing, shooting star, doji, evening star, three black crows, double top in an uptrend). Green/red background highlights for signal candles. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds. Troubleshooting If Errors Occur: If any errors appear in TradingView’s Pine Editor console (e.g., “Syntax error” or “Invalid argument”), please share the exact error messages to diagnose environment-specific issues. Signal Overload: If too many signals appear, increase patternLookback to 15 or set volFilter = volume > volMa * 2.0. Missed Signals: If signals are too rare, set useVolumeFilter=false or reduce patternLookback to 5. Additional Features: If you need alerts, other indicators (e.g., EMA, RSI), or dynamic arrow sizing, please specify. Note that dynamic sizing caused errors previously, so I’ve kept size=size.normal.
Pine Script® strategy
by Hilly1976
Sr.Ram.GodSoun.Market StructureDisclaimer: This chart is for educational purposes only. Please do your own due diligence — this is not trade advice. Any signals for buys, sells, calls, or puts are purely strategy outputs and should not be considered trading recommendations. This strategy is designed for "SPY" and "QQQ" on a 3-minute time frame. It is built on market-structure breakouts, identifying swing highs and lows using a configurable Market Structure Duration. A bullish breakout triggers a Calls (long) entry, while a bearish breakout triggers a Puts (short) entry. Signals are filtered with session-based exclusions, ensuring no entries or exits occur during the following EST time windows: 09:30 – 09:45 12:00 – 13:00 15:30 – 16:00 Risk management is enforced through percentage-based exits: Close Longs and switch to Puts if price moves 0.2% Close Puts and switch to Calls if price moves 0.2% The strategy also incorporates re-entry logic after a stop-out: Re-enter Puts on a further 0.3% breakdown. Re-enter Calls on a further 0.3% breakout. Built-in alerts cover all entries, exits, and re-entries, enabling seamless use with automated trading or notifications.
Pine Script® strategy
by gan556677
Sr.Rma.Prev High/lows with Alerts Disclaimer: This chart is designed for educational purposes only. Please conduct your own due diligence before entering any trades. The strategy is based on previous highs and lows, combined with stop-loss and reversal percentage logic. It is most effective on SPY and QQQ using the 1-minute time-frame, where I personally trade next-day expiration with preset configurations. If you choose to apply it to other stocks, be sure to adjust the stop-loss % and re-entry % parameters to match your trading style and risk tolerance.
Pine Script® strategy
by gan556677
Dynamic Swing Anchored VWAP STRAT (Zeiierman/PineIndicators)Dynamic Swing Anchored VWAP STRATEGY — Zeiierman × PineIndicators (Pine Script v6) A pivot-to-pivot Anchored VWAP strategy that adapts to volatility, enters long on bullish structure, and closes on bearish structure. Built for TradingView in Pine Script v6. Full credits to zeiierman. Repainting notice: The original indicator logic is repainting. Swing labels (HH/HL/LH/LL) are finalized after enough bars have printed, so labels do not occur in real time. It is not possible to execute at historical label points. Treat results as educational and validate with Bar Replay and paper trading before considering any discretionary use. Concept The script identifies swing highs/lows over a user-defined lookback ( Swing Period ). When structure flips (most recent swing low is newer than the most recent swing high, or vice versa), a new regime begins. At each confirmed pivot, a fresh Anchored VWAP segment is started and updated bar-by-bar using an EWMA-style decay on price×volume and volume. Responsiveness is controlled by Adaptive Price Tracking (APT) . Optionally, APT auto-adjusts with an ATR ratio so that high volatility accelerates responsiveness and low volatility smooths it. Longs are opened/held in bullish regimes and closed when the regime turns bearish. No short positions are taken by design. How it works (under the hood) Swing detection: Uses ta.highestbars / ta.lowestbars over prd to update swing highs (ph) and lows (pl), plus their bar indices (phL, plL). Regime logic: If phL > plL → bullish regime; else → bearish regime. A change in this condition triggers a re-anchor of the VWAP at the newest pivot. Adaptive VWAP math: APT is converted to an exponential decay factor ( alphaFromAPT ), then applied to running sums of price×volume and volume, producing the current VWAP estimate. Rendering: Each pivot-anchored VWAP segment is drawn as a polyline and color-coded by regime. Optional structure labels (HH/HL/LH/LL) annotate the swing character. Orders: On bullish flips, strategy.entry("L") opens/maintains a long; on bearish flips, strategy.close("L") exits. Inputs & controls Swing Period (prd) — Higher values identify larger, slower swings; lower values catch more frequent pivots but add noise. Adaptive Price Tracking (APT) — Governs the VWAP’s “half-life.” Smaller APT → faster/closer to price; larger APT → smoother/stabler. Adapt APT by ATR ratio — When enabled, APT scales with volatility so the VWAP speeds up in turbulent markets and slows down in quiet markets. Volatility Bias — Tunes the strength of APT’s response to volatility (above 1 = stronger effect; below 1 = milder). Style settings — Colors for swing labels and VWAP segments, plus line width for visibility. Trade logic summary Entry: Long when the swing structure turns bullish (latest swing low is more recent than the last swing high). Exit: Close the long when structure turns bearish. Position size: qty = strategy.equity / close × 5 (dynamic sizing; scales with account equity and instrument price). Consider reducing the multiplier for a more conservative profile. Recommended workflow Apply to instruments with reliable volume (equities, futures, crypto; FX tick volume can work but varies by broker). Start on your preferred timeframe. Intraday often benefits from smaller APT (more reactive); higher timeframes may prefer larger APT (smoother). Begin with defaults ( prd=50, APT=20 ); then toggle “Adapt by ATR” and vary Volatility Bias to observe how segments tighten/loosen. Use Bar Replay to watch how pivots confirm and how the strategy re-anchors VWAP at those confirmations. Layer your own risk rules (stops/targets, max position cap, session filters) before any discretionary use. Practical tips Context filter: Consider combining with a higher-timeframe bias (e.g., daily trend) and using this strategy as an entry timing layer. First pivot preference: Some traders prefer only the first bullish pivot after a bearish regime (and vice versa) to reduce whipsaw in choppy ranges. Deviations: You can add VWAP deviation bands to pre-plan partial exits or re-entries on mean-reversion pulls. Sessions: Session-based filters (RTH vs. ETH) can materially change behavior on futures and equities. Extending the script (ideas) Add stops/targets (e.g., ATR stop below last swing low; partial profits at k×VWAP deviation). Introduce mirrored short logic for two-sided testing. Include alert conditions for regime flips or for price-VWAP interactions. Incorporate HTF confirmation (e.g., only long when daily VWAP slope ≥ 0). Throttle entries (e.g., once per regime flip) to avoid over-trading in ranges. Known limitations Repainting: Swing labels and pivot confirmations depend on future bars; historical labels can look “perfect.” Treat them as annotations, not executable signals. Execution realism: Strategy includes commission and slippage fields, yet actual fills differ by venue/liquidity. No guarantees: Past behavior does not imply future results. This publication is for research/education only and not financial advice. Defaults (backtest environment) Initial capital: 10,000 Commission value: 0.01 Slippage: 1 Overlay: true Max bars back: 5000; Max labels/polylines set for deep swing histories Quick checklist Add to chart and verify that the instrument has volume. Use defaults, then tune APT and Volatility Bias with/without ATR adaptation. Observe how each pivot re-anchors VWAP and how regime flips drive entries/exits. Paper trade across several symbols/timeframes before any discretionary decisions. Attribution & license Original indicator concept and logic: Zeiierman — please credit the author. Strategy wrapper and publication: PineIndicators . License: CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike). Respect the license when forking or publishing derivatives.
Pine Script® strategy
by PineIndicators
9
Disparity(20MA) ±1 × Stochastic 80/20 + ATR SL/TP[by Irum]Disparity(20MA) ±1 × Stochastic 80/20 + ATR SL/TP 사용 설명서 (KR/EN Bilingual Manual) 1) 목적 & 정의 / Purpose & Definition KR — 목적 & 정의 이 스크립트는 이격도(Disparity) 와 스토캐스틱(80/20) 의 동시 신호를 활용해 추세 전환/지속 구간의 고확률 진입 시점을 포착하고, ATR 기반 손절/익절(고정 또는 트레일링)로 리스크를 정량화하여 운용 효율을 높이기 위해 설계되었습니다. 핵심 아이디어: 가격이 20MA 대비 ±임계값을 크로스(과열/침체 해소 신호)하고, 스토캐스틱이 80/20을 돌파/이탈(모멘텀 전환 신호)할 때, 두 신호가 동일봉 또는 N봉 내 동기화되면 진입. 청산: ATR×배수를 이용한 고정 TP/SL 또는 ATR 트레일링. EN — Purpose & Definition This strategy combines Disparity (price vs. 20MA) and Stochastic (80/20) to identify high-probability entries when momentum confirms mean-reversion/continuation, while ATR-based stops/take-profits (fixed or trailing) provide quantified risk control. Core Idea: Disparity crosses ±threshold (overbought/oversold release), Stochastic crosses 80/20 (momentum shift), Both conditions sync on the same bar or within N bars → entry. Exits: Fixed ATR TP/SL or ATR trailing. 2) 신호 로직 요약 / Signal Logic Overview KR 롱 진입: Disparity가 −임계값 상향 돌파 & Stochastic 20 상향 돌파가 syncBars 이내에 동시 충족. 숏 진입: Disparity가 +임계값 하향 돌파 & Stochastic 80 하향 돌파가 syncBars 이내에 동시 충족. 완화 옵션(useRelaxStoch): 최근 relaxLookback 내 20/80 터치 이력 + 현재 방향성만으로도 모멘텀 전환을 인정(교차 미충족 보완). EN Long: Disparity crosses up −threshold & Stochastic crosses up 20 within syncBars. Short: Disparity crosses down +threshold & Stochastic crosses down 80 within syncBars. Relaxed option (useRelaxStoch): Accepts momentum shift if 20/80 was touched in the last relaxLookback bars and the current slope confirms, even without a strict cross. 3) 설정 메뉴 안내 / Settings Menu Guide A. 기본 / Core 기준가격 / Source (source) 설명: Disparity 계산에 쓰는 가격 소스. 입력: close, hl2, ohlc4 등. 기본값: close. 팁: 변동성 큰 종목은 hlc3/ohlc4가 노이즈를 줄이기도 함. 이격도 기준 MA 길이 / MA Length (for Disparity) (int ≥1) 설명: Disparity의 기준선이 되는 단순이동평균 길이. 기본값: 20. 영향: 길이↑ → 신호 빈도↓, 안정성↑. 이격도 임계값(±%) / Disparity Threshold (±%) (float ≥0.1, step 0.1) 설명: Disparity가 +임계값 아래로 하향 크로스(숏) 또는 −임계값 위로 상향 크로스(롱)할 때 신호. 기본값: 1.0%. 팁: 너무 크면 신호 드뭄, 너무 작으면 과다. B. 스토캐스틱 / Stochastic %K Length / K 길이 (int ≥1, 기본 14) %K Smoothing / K 스무딩 (int ≥1, 기본 1) %D Length / D 길이 (int ≥1, 기본 3) 설명: ta.stoch의 K를 스무딩한 kSlow와, 추가 스무딩한 dSlow(참조용)를 구성. Buy Level (↑20) / 매수 기준선 (0~100, 기본 20) Sell Level (↓80) / 매도 기준선 (0~100, 기본 80) C. 신호 로직 / Signal Logic Signal Sync Window (bars) / 신호 동기화 윈도우 (0~10, 기본 0) 설명: 0=두 신호가 같은 봉에서 모두 충족해야 함. N>0=최근 N봉 내에서 각각 한 번 발생하면 인정. 팁: 1~3은 현실적 체결/지연을 반영하며 과최적화 방지에 도움. Relaxed Stochastic? (교차 완화) (bool, 기본 false) 설명: 교차 대신 최근 20/80 터치 + 현재 기울기만으로도 모멘텀 전환을 인정. 신호 빈도↑. Relax lookback bars (int ≥1, 기본 5) 설명: 완화판정에 쓰는 최근 봉 수. D. 리스크 / Risk (ATR) ATR Length / ATR 길이 (int ≥1, 기본 14) ATR Mult for Stop / 손절 ATR 배수 (float ≥0.1, 기본 1.5) ATR Mult for Take-Profit / 익절 ATR 배수 (float ≥0.1, 기본 2.0) 설명: 진입가 ± ATR×배수로 SL/TP 설정. 팁: 변동성 큰 자산은 SL 배수↑, TP 배수도 함께 조정 권장. Use ATR Trailing Stop? / ATR 트레일링 사용 (bool, 기본 false) ATR Mult for Trailing / 트레일링 ATR 배수 (float ≥0.1, 기본 2.0) 설명: 고정 TP/SL 대신 추적 손절을 사용(수익 추적에 유리). E. 시각화 / Visualization Plot 20MA / 20MA 표시 (bool, 기본 true) Show Entry Markers / 진입 마커 표시 (bool, 기본 true) 4) 진입·청산 규칙 / Entry & Exit Rules KR 진입: 위 “신호 로직” 충족 시 strategy.entry("L"/"S"). 청산 (고정형): 롱: Stop = 진입 − ATR×SL, TP = 진입 + ATR×TP 숏: Stop = 진입 + ATR×SL, TP = 진입 − ATR×TP 청산 (트레일링형): ATR×trailMult로 산출한 trail_points/offset으로 추적 손절. EN Entry: Place strategy.entry("L"/"S") when sync conditions are met. Exit (Fixed): Long: Stop = Entry − ATR×SL, TP = Entry + ATR×TP Short: Stop = Entry + ATR×SL, TP = Entry − ATR×TP Exit (Trailing): Use ATR×trailMult as trailing distance & offset. 5) 알림 / Alerts 조건 Long Entry (Disp −Thr & Stoch Up, sync) → longSignal Short Entry (Disp +Thr & Stoch Down, sync) → shortSignal 메시지 포맷 / Message format {"signal":"long|short","symbol":"{{ticker}}","price":{{close}}} Webhook(예: 거래소·봇)에서 signal/symbol/price를 활용해 체결 로직과 연동하십시오. 6) 빠른 시작 & 권장 프리셋 / Quick Start & Suggested Presets KR — BTC/USDT (15분봉) 제안 maLen=20, thrPct=1.0~1.5, kLen=14, kS=1, dLen=3, stBuyLv=20, stSellLv=80 syncBars=1~3 (동시성 여유), useRelaxStoch=true, relaxLookback=5 고정형: atrLen=14, atrMultSL=1.5~2.0, atrMultTP=2.0~3.0 트레일링형: useTrail=true, trailMult=2.0~3.0 EN — BTC/USDT (15-min) suggestion Above defaults, with syncBars=1~3, useRelaxStoch=true to improve fill realism. Increase atrMultSL on high-volatility days to reduce whipsaws. 7) 운용 팁 & 점검 / Tips & Troubleshooting KR 신호가 안 나와요: thrPct가 지나치게 크거나 syncBars=0으로 너무 엄격할 수 있음. thrPct↓, syncBars↑ 조정. 휩쏘 과다: useRelaxStoch를 끄거나 thrPct↑, atrMultSL↑. TP 도달 전에 청산: 트레일링 사용 시 변동성 확대로 SL이 따라붙다 체결될 수 있음 → trailMult↑ 또는 고정형 전환. 과최적화 방지: 한 구간에 과특화된 튜닝(특히 syncBars, thrPct)은 다른 시장에서 성능 저하. Walk-forward 권장. EN No signals: Lower thrPct and/or increase syncBars. Too many whipsaws: Disable relaxed mode, raise thrPct and/or atrMultSL. Stopped before TP (trailing): Increase trailMult or switch to fixed exits. Robustness: Avoid over-tuning; validate via walk-forward testing.
Pine Script® strategy
by IrumB
ENAUSDT.P Strategy – Alerts Ready (JSON)Ena/usdt trend trading strategy. Backtesting results: Starting date: 2 September 2025 7 days: PnL: +13.91 (+1.39%) Max drawdown: -17.68 (-1.73%) Total trades: 22 Win rate: 63.64% Profit factor: 1.82 30 days: PnL: +81.16 (+8.12%) Max drawdown: -26.38 (-2.51%) Total trades: 89 Win rate: 68.54% Profit factor: 2.52 90 days: PnL: +270.64 (+27.06%) Max drawdown: -36.29 (-3.34%) Total trades: 273 Win rate: 67.09% Profit factor: 2.72 365 day: PnL: +702.89 (+70.29%) Max drawdown: -130.40 (-10.16%) Total trades: 986 Win rate: 65.42% Profit factor: 1.67
Pine Script® strategy
by wordlyBear737
1
Optimised XAU/USD (Gold, IC Markets, 30m)The Illyad Strategy 1.0 optimised for XAU/USD (Gold) on the 30-minute timeframe (IC Markets feed). 📊 Backtest Results (Jan 2024 – Aug 2025): ✅ Total P&L: +30,143.28 USD (+30.14%) 📉 Max Drawdown: 3.60% (3,945.84 USD) 🔁 Total Trades: 57 📈 Win Rate: 42.11% (24/57 trades) ⚖️ Profit Factor: 1.91 This setup shows steady performance and low drawdown on Gold — ideal for traders wanting to capture volatility while maintaining consistency. 🔧 Optimisation Notes: Works best on the 30m timeframe. Each instrument (forex, indices, commodities, stocks) has unique behaviour. To maximise results, always optimise the parameters per symbol — e.g., Gold requires a different configuration than GBP/USD or NASDAQ. 💡 Best Use Cases: Prop firm challenges & scaling funded accounts. Long-term compounding with low risk. Automated execution via TradingView alerts → MT5 for hands-free trading. ⚠️ Disclaimer: This strategy is for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test before going live. 📲 Next Steps: This example demonstrates the Gold (XAU/USD) optimisation. The Illyad Strategy can be tuned for any forex pair, index, or commodity with proper optimisation. 👉 Visit my profile for full automation solutions.
Pine Script® strategy
by acenglish
Optimised GBP/USD (IC Markets, 30m)This is the Illyad Strategy 1.0 optimised for GBP/USD on the 30-minute timeframe (IC Markets feed). 📊 Backtest Results (Jan 2024 – Aug 2025): ✅ Total P&L: +19,501.97 USD (+19.50%) 📉 Max Drawdown: 3.57% (3,607.64 USD) 🔁 Total Trades: 37 📈 Win Rate: 51.35% (19/37 trades) ⚖️ Profit Factor: 2.08 This version shows steady profitability with controlled drawdown, making it highly effective for prop firm evaluations and scaling accounts. 🔧 Optimisation Notes: Works best on the 30-minute timeframe. Each symbol behaves differently — always optimise the algo per instrument (e.g. GBP/USD vs EUR/GBP vs Gold). Parameters such as moving averages, risk, and SL/TP ratios can be tuned to maximise performance. 💡 Best Use Cases: Prop firm challenges (FTMO, AquaFunded, MyForexFunds, etc.). Scaling funded capital by trading multiple accounts simultaneously. Full automation via TradingView alerts → MT5 integration. ⚠️ Disclaimer: This script is for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test on demo before going live. 📲 Next Steps: This setup demonstrates the GBP/USD optimisation. The Illyad Strategy can be adjusted to perform across any forex pair, index, or stock with proper optimisation. 👉 Check my profile for full automation solutions.
Pine Script® strategy
by acenglish