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Supertrend BUY Only - Optimized for Gold M15 TimeframeOverview The Supertrend BUY Only - Production Optimized is a high-performance trend-following indicator specifically tuned for XAUUSD (Gold) on the 15-minute timeframe. Unlike standard Supertrend scripts, this version focuses exclusively on bullish cycles to align with long-term upward bias and uses parameters discovered through deep data analysis of over 20,000 bars of historical market data. Key Features Data-Optimized Parameters: Defaults are set to ATR Period 7 and Multiplier 2.1, which backtesting has shown to provide a superior balance between sensitivity and noise reduction for Gold. Production-Ready Alerts: Includes built-in alertcondition triggers for both BUY (Trend Flip) and STOP BUY (Trend Exit), complete with dynamic messages that include price and interval. Trailing Support Band: Uses a trailing logic that locks in support levels during upward moves, preventing the band from dropping until the trend officially reverses. Clean Visuals: Focuses on chart clarity by only plotting the support line during active uptrends and utilizing clean shape labels for entries and exits. How to Use Entry (BUY): When the Supertrend line flips from Red to Green and a "BUY" label appears. This indicates bullish momentum has overcome recent volatility. Exit (STOP BUY): When the price closes below the Green support line. The indicator will plot a red "X" and clear the green background. Setting Alerts: * Click the Alerts icon in TradingView. Select this indicator under "Condition." Choose "BUY Signal" for entries and "STOP BUY / EXIT" for managing your trade or taking profit. Technical Details The script allows users to toggle between the TradingView (RMA) ATR calculation and the Standard (SMA) method. For production and live trading, the RMA method is recommended as it provides a smoother response to volatility spikes common in the Gold market.
Penunjuk Pine Script®
oleh m_zeeshan_asghar
VWAP Long Entry PROVWAP Long Entry PRO - Instruction Manual Overview VWAP Long Entry PRO is a Pine Script v6 indicator designed for day traders following Andrew Aziz's VWAP trading methodology from "How to Day Trade for a Living." The indicator identifies high-probability long entry opportunities when stocks bounce off VWAP with proper trend, volume, and timing confirmation. What This Indicator Does The indicator monitors multiple conditions simultaneously and alerts you only when ALL criteria are met for a valid VWAP long entry: 1. ✅ Price is near VWAP (within customizable proximity) 2. ✅ Price crosses above VWAP (bullish candle confirmation) 3. ✅ Uptrend confirmed (EMA 20 > EMA 50) 4. ✅ Volume spike present (volume > 1.5x average) 5. ✅ Within optimal trading hours (default: first 2 hours after market open) Visual Elements on the Chart 1. VWAP Line (Yellow) * Shows the Volume Weighted Average Price for the current session * Acts as dynamic support/resistance 2. EMA Lines * Blue Line: 20-period Exponential Moving Average * Red Line: 50-period Exponential Moving Average * Trend is bullish when blue is above red 3. Green Triangle Markers * Appear below candles when ALL entry conditions are met * These are your entry signals 4. Background Colors * Light Yellow Background: Price is within proximity zone of VWAP * Light Red Background: Price crossed VWAP but filters failed (helps identify missed opportunities) 5. Filter Status Table (Top Right) Real-time dashboard showing current status of all filters: Filter Status Trend ✓ (green) or ✗ (red) Volume ✓ (green) or ✗ (red) Time ✓ (green) or ✗ (red) Near VWAP ✓ (green) or ✗ (red) Entry OK ✓ GO (lime) or ✗ (orange) How to Use the Indicator Step 1: Apply to Your Watchlist 1. Add VWAP Long Entry PRO to charts of stocks on your morning gappers watchlist 2. Use 1-minute, 2-minute, or 5-minute timeframes 3. Monitor multiple stocks simultaneously Step 2: Wait for Setup Watch the Filter Status Table in the top right corner. A valid entry requires: * All filters showing green ✓ * "Entry OK" showing ✓ GO in lime/green Step 3: Execute the Trade When a green triangle appears below a candle: * Entry: Enter long at or near the close of that candle * Stop Loss: Place stop just below VWAP (typically 2-5 cents below) * Profit Target: Use resistance levels, previous highs, or VWAP + ATR Step 4: Manage the Trade * Hold as long as price stays above VWAP * Exit if price closes back below VWAP * Scale out at resistance levels Customizable Settings Access settings by clicking the gear icon next to the indicator name. VWAP Proximity * Default: 0.002 (0.2%) * Purpose: Defines how close price must be to VWAP * Adjust If: * Too many signals → increase (e.g., 0.001 = 0.1%) * Too few signals → decrease (e.g., 0.003 = 0.3%) Filters Group Trend Filter * Use Trend Filter: Toggle on/off * EMA 20 Length: Default 20 * EMA 50 Length: Default 50 * Purpose: Ensures you're trading with the trend * Disable If: Trading reversals or range-bound stocks Volume Filter * Use Volume Filter: Toggle on/off * Volume Multiplier: Default 1.5 (volume must be 1.5x average) * Volume Average Period: Default 20 bars * Purpose: Confirms institutional participation * Adjust If: * Too restrictive → lower to 1.2x * Need stronger confirmation → increase to 2.0x Time Filter * Use Time Filter: Toggle on/off * Start Hour (EST): Default 9 * Start Minute: Default 30 * Hours to Trade: Default 2 * Purpose: Focus on highest probability time window (9:30-11:30 AM EST) * Adjust If: * Trading afternoon momentum → extend hours to 4-6 * Power hour trading → change start to 15:00, 1 hour Alert Setup Creating an Alert 1. Click the Alert Icon (clock) in top toolbar 2. Condition: Select "VWAP Long Entry PRO" 3. Alert Trigger: Choose "VWAP Long Entry PRO" 4. Options: Select "Once Per Bar Close" 5. Expiration: Set to desired timeframe (default: 60 days) 6. Alert Actions: Enable: * ✓ Notify on App * ✓ Show Popup * ✓ Send Email (optional) * ✓ Play Sound 7. Message: The default message includes: * Ticker symbol * Close price * VWAP value * Confirmation that all filters passed Multi-Symbol Alert To monitor multiple stocks with one alert: 1. In the alert creation dialog, use the Symbol dropdown 2. Select multiple tickers from your watchlist 3. The alert will fire when ANY of those stocks meet the criteria Trading Strategy Based on Andrew Aziz's VWAP Methodology Setup Requirements: * Stock must be "in play" (gap, news, high relative volume from morning scanner) * Price pulls back to VWAP during the trading day * VWAP acts as support for longs (or resistance for shorts) Entry Rules: 1. Wait for price to approach VWAP 2. Confirm VWAP as support with a bullish candle closing above it 3. Enter long on confirmation candle close or next candle open 4. All filters (trend, volume, time) must be green Stop Loss: * Place stop 2-5 cents below VWAP * Adjust based on stock volatility and your risk tolerance Profit Targets: * First target: Previous resistance or swing high * Second target: Daily pivot or Fibonacci extension * Trailing stop: Move stop to breakeven once up 1:1 risk/reward Risk Management: * Risk 1-2% of account per trade * Position size based on distance from stop loss * Aim for 2:1 or 3:1 reward-to-risk ratio Common Scenarios Scenario 1: Clean VWAP Bounce * All filters green ✓ * Price pulls back to VWAP * Green triangle appears * Action: Enter long immediately Scenario 2: Failed Volume * Trend ✓, Time ✓, Near VWAP ✓ * Volume ✗ (red X) * Action: Wait for volume increase or skip trade Scenario 3: Wrong Time Window * All filters green except Time ✗ * Action: If you trade mid-day, consider extending time window in settings Scenario 4: Downtrend * Trend ✗ (EMA 20 < EMA 50) * Action: Skip long entry; consider short setup instead Scenario 5: False Breakout * Light red background appears (filters failed) * Price crossed VWAP but no confirmation * Action: No entry; indicator correctly filtered out weak signal Best Practices 1. Pre-Market Preparation * Run your gappers scanner at 9:00 AM EST * Identify 3-5 stocks "in play" * Add VWAP Long Entry PRO to each chart * Set up alerts for your watchlist 2. Chart Timeframe Selection * 1-minute: Scalping, high-frequency entries (more signals, more noise) * 2-minute: Balanced (recommended for beginners) * 5-minute: Swing entries, fewer but higher-quality signals 3. Combine with Price Action The indicator is a filter and alert system, not a complete strategy. Also consider: * Support/resistance levels * Candlestick patterns (hammer, engulfing) * Overall market trend (SPY, QQQ) * Stock-specific news and catalysts 4. Backtesting * Use TradingView's Bar Replay feature * Review past signals on your favorite stocks * Adjust filter settings based on your results * Document win rate and average R:R 5. Paper Trading First * Test the indicator with paper trading for 1-2 weeks * Track all signals and outcomes * Refine settings before risking real capital Troubleshooting Problem: No Signals Appearing Solutions: * Check if all filters are enabled (they may be too restrictive) * Verify stock has sufficient volume and volatility * Try increasing VWAP proximity from 0.2% to 0.3% * Disable time filter if trading mid-day * Check if stock is actually near VWAP on chart Problem: Too Many Signals Solutions: * Decrease VWAP proximity from 0.2% to 0.1% * Increase volume multiplier from 1.5x to 2.0x * Enable all filters (trend, volume, time) * Use 5-minute chart instead of 1-minute Problem: Filter Status Table Not Visible Solutions: * Scroll chart to right (table is in top right corner) * Check if indicator is loaded (should appear in indicator list on left) * Refresh chart and re-add indicator * Close other overlapping indicators Problem: Alert Not Firing Solutions: * Verify alert is set to "Once Per Bar Close" (not "Only Once") * Check alert hasn't expired * Ensure correct symbols are selected in alert * Confirm indicator is applied to chart with alert Limitations What This Indicator Does NOT Do: * ❌ Automatically enter/exit trades * ❌ Calculate position size * ❌ Account for fundamental news or earnings * ❌ Work on stocks without sufficient liquidity * ❌ Guarantee profitable trades When NOT to Use: * Pre-market or after-hours (VWAP resets at market open) * Low-volume penny stocks (< 100K daily volume) * Stocks without clear trend or catalyst * During major news events or FOMC meetings * First 5 minutes after market open (price discovery phase) Example Trade Walkthrough Stock: XYZ (from morning gappers, +5% gap on earnings)
Time: 10:15 AM EST
Timeframe: 2-minute chart Filter Status Table Shows: * Trend: ✓ (EMA 20 > EMA 50) * Volume: ✓ (2.3x average) * Time: ✓ (within 9:30-11:30 window) * Near VWAP: ✓ (price at $50.05, VWAP at $50.00) * Entry OK: ✗ (waiting for bullish close) Next Candle: * Opens at $50.02 * Drops to $49.98 (testing VWAP) * Closes at $50.08 (bullish candle, above VWAP) * Green triangle appears! * Entry OK: ✓ GO Trade Execution: * Entry: $50.10 (next candle open) * Stop Loss: $49.95 (5 cents below VWAP) * Risk: $0.15 per share * Target 1: $50.40 (previous resistance) = 2:1 R:R * Target 2: $50.70 (daily high) = 4:1 R:R Outcome: * Price rallies to $50.45 * Scale out 50% at Target 1 * Move stop to breakeven ($50.10) * Exit remaining 50% at $50.65 * Result: Profitable trade with 3:1 average R:R Frequently Asked Questions Q: Can I use this for short entries?
A: The current version is for long entries only. For shorts, you'd need to reverse the logic (price rejecting VWAP as resistance, downtrend, etc.). Q: What stocks work best with this indicator?
A: Mid-cap momentum stocks ($1B-$10B market cap), price $10-$100, daily volume > 1M, with a clear catalyst (earnings, news, sector move). Q: Can I trade this on daily or weekly charts?
A: No. VWAP is an intraday indicator that resets each trading day. Use only on intraday timeframes (1m, 2m, 5m, 15m, 30m). Q: Should I take every signal?
A: No. Use the indicator as a filter, not a mechanical system. Consider overall market conditions, stock-specific catalysts, and your own price action analysis. Q: How accurate is this indicator?
A: Accuracy depends on market conditions, stock selection, and your execution. Expect 50-65% win rate with proper 2:1+ risk/reward, similar to Aziz's methodology. Resources * Book: "How to Day Trade for a Living" by Andrew Aziz * VWAP Strategy: Focus on Chapters 7.6 (VWAP Strategy) and supporting examples * Community: Bear Bull Traders (www.bearbulltraders.com) * Practice: Use TradingView's Bar Replay and Paper Trading features Support & Updates For questions, issues, or feature requests, refer to the TradingView script comments or the Bear Bull Traders community. Version: 1.0
Pine Script Version: v6
Last Updated: December 30, 2025 Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. 1. www.tradingview.com
Penunjuk Pine Script®
oleh DJ_muss7rd
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer) Overview This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable. Core idea (Percent → Tick conversion) strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss). This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes. //==What it provides==// 1. % → tick conversion for: - Fixed stop loss (loss) - Trailing activation distance (trail_points) - Trailing offset distance (trail_offset) 2. On-chart visualization: - Entry average price - Trailing activation threshold - Fixed stop-loss line - Trailing stop line (with an exit-bar alignment attempt to reduce gaps) //==How to use==// 1. Keep the included MA crossover entries, or replace them with your own entries. 2. Configure: - Fixed Stop Loss % (loss_pct) - Trailing Activation % (t_points_pct) - Trailing Offset % (t_offset_pct) 3. Adjust commission/slippage defaults to match your market. //==Important limitations (must read)==// - calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload. - Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level. - For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available). # Average Entry Price (Basis): "Calculations are based on the position's average entry price (strategy.position_avg_price)." # Pine Script v6: "Written in the latest Pine Script v6." 요약 이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다. 단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
Strategi Pine Script®
oleh surirang
Institutional Zone Detector [Scalping-Algo]█ OVERVIEW The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits. This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time. █ CORE CONCEPT Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns: Demand Zones (Bullish) When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers. Supply Zones (Bearish) When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers. Price has a tendency to revisit these zones, offering potential trade opportunities. █ HOW IT WORKS The indicator scans for: 1. A potential zone candle (bearish for demand, bullish for supply) 2. A sequence of consecutive candles in the opposite direction 3. Optional: A minimum percentage move to filter weak signals When all conditions are met, the zone is marked on your chart with: • Upper and lower boundaries (solid lines) • Equilibrium/midpoint level (cross marker) • Extended channel lines for easy visualization █ SETTINGS Consecutive Candles Required (Default: 5) Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals. Minimum Move Threshold % (Default: 0.0) Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity. Display Full Candle Range (Default: Off) • Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones • On: Shows complete High-to-Low range of the zone candle Show Demand/Supply Zone Channel (Default: On) Toggle extended horizontal lines that project the zone levels across your chart. Visual Theme (Default: Dark) Choose between Dark (white/blue) or Light (green/red) color schemes. Show Statistics Panel (Default: Off) Displays a floating panel with exact price levels of the most recent zones. Display Info Tooltip (Default: Off) Shows an information label with indicator documentation. █ HOW TO USE Entry Strategies 1. Zone Bounce (Mean Reversion) • Wait for price to return to a previously identified zone • Look for rejection candles (pin bars, engulfing patterns) at zone levels • Enter in the direction of the original zone (long at demand, short at supply) • Place stops beyond the zone boundary 2. Zone Break (Momentum) • When price breaks through a zone with strong momentum • The broken zone often becomes the opposite type (broken demand becomes supply) • Use for trend continuation trades 3. Equilibrium Trades • The midpoint (cross marker) often acts as a magnet for price • Can be used as a first target or as an entry point for scaled positions Risk Management • Always place stop-loss orders beyond zone boundaries • Consider the zone width when calculating position size • Wider zones = wider stops = smaller position size • Use the equilibrium level for partial profit taking Best Practices • Higher timeframes produce more reliable zones • Zones on multiple timeframes (confluence) are stronger • Fresh/untested zones are more powerful than zones that have been touched multiple times • Combine with other analysis methods (trend direction, volume, market structure) █ ALERTS Two alert conditions are available: • "Demand Zone Identified" - Triggers when a new demand zone is detected • "Supply Zone Identified" - Triggers when a new supply zone is detected To set up alerts: Click on the indicator name → Add Alert → Select condition █ IMPORTANT NOTES • This indicator is a tool for analysis, not a complete trading system • Signals are NOT automatic buy/sell recommendations • Always use proper risk management • Past performance does not guarantee future results • Works on all markets and timeframes • Non-repainting: Signals appear only after bar close confirmation █ ACKNOWLEDGMENTS Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application.
Penunjuk Pine Script®
oleh A1TradingHub
MAs + Bollinger Bands by @ETERNYWORLDMAs + Bollinger Bands by @ETERNYWORLD is the core trend and volatility layer inside the Trend Mastery Pro ecosystem, engineered by EternityWorld to deliver a clean, structured, and highly customizable market bias reading directly on the chart. What’s Inside the Indicator 5 independent Moving Averages (EMA or SMA) with individual enable/disable toggles, lengths, colors, and widths. Bollinger Bands with professional basis options: SMA, EMA, RMA/SMMA, WMA, VWMA, plus adjustable deviation multiplier and visual band fill. Chart overlay compatibility, making trend and volatility easy to interpret for fast decisions. Fully configurable alerts, enabling traders to stay proactive without missing high-probability expansion triggers. Enhanced by Trend Mastery Pro Workflow This indicator complements the 3-step methodology of Trend Mastery Pro: Bias → defines the dominant trend direction. Trigger → identifies breakout or momentum expansion zones using confluence with volatility. Management → supports consistent risk execution when combined with external strategy rules and trade plans. Key Strengths ✔ Unified trend + volatility envelope on chart ✔ Individual component control (no clutter, no guesswork) ✔ Noise reduction in consolidation environments ✔ Adaptable to crypto, forex, indices, commodities, and equities ✔ Reliable for intraday impulse plays and structured directional setups How to Use It Context: Align your analysis with the broader bias before execution. Signal: Watch for volatility expansion and trend alignment for breakout scenarios. Execution: Apply your risk plan (position size, partials, BE/trailing) based on your trading model. Best Practices 🛡️ Tune sensitivity according to asset volatility and timeframe horizon 🛡️ Avoid trading against dominant bias during compression phases 🛡️ Always validate through backtesting and forward testing before scaling 🛡️ Log performance and refine parameters iteratively Who It's For Traders who want: A repeatable and disciplined process A professional visual structure Less noise, more clarity, better bias alignment A premium indicator suite that supports real decision-making Compatibility Seamlessly works with any asset and timeframe on TradingView supporting chart overlay indicators. Alerts are designed to help monitoring without being glued to the screen. Disclaimer ⚠️ This product is not financial advice and does not guarantee results. Performance varies depending on market conditions, asset behavior, user configuration, and applied risk management. Always trade responsibly and follow your own risk plan.
Penunjuk Pine Script®
oleh ETERNYWORLD
Day HighlighterThis simple indicator highlights specific days of the week on your chart to assist with backtesting and pattern analysis. Selectable Days: You can toggle specific days (e.g., Monday, Friday) on or off via the settings menu. Visual Indicators: A red circle and the day name are displayed above the high of the candle for the selected days. Visibility: The text is white to ensure high readability on dark backgrounds. 차트 보다가 '이게 무슨 요일이지?' 하고 일일이 날짜 확인하기 귀찮아서 만들었습니다. 설정에서 원하는 요일(예: 월요일)만 체크하면, 캔들 위에 빨간 원과 요일 이름을 자동으로 찍어줍니다. 특정 요일 무빙 복기할 때 편해요
Penunjuk Pine Script®
oleh Finsight
BTC - DCA vs HODL Calculator MatrixBTC - DCA vs. HODL Calculator Matrix | RM Overview The BTC - DCA vs. HODL Calculator Matrix is a high-performance telemetry laboratory designed to settle the ultimate debate in Bitcoin accumulation: Is it more efficient to deploy all capital at once ( Lump Sum & HODL ) or utilize a recurring purchase strategy ( DCA )? More importantly, if DCA is the choice, which exact frequency and weekday provides the mathematical edge? The Calculator Matrix was engineered to solve a critical limitation in the current script ecosystem (at least I couldnt find such an indicator): the inability to compare multiple DCA frequencies and specific calendar days simultaneously within a single dashboard. While developing this tool, I found that existing calculators typically only permit testing one strategy at a time (e.g., a generic "Weekly" buy). This script fills that gap by utilizing a high-performance array-based "Telemetry Engine" to rank dozens of variables—including every individual weekday and specific monthly dates—against a HODL benchmark in real-time. This unique simultaneous comparison allows investors to mathematically identify "Weekday Alpha" across any user-defined timeframe. Core Philosophy The script utilizes a Normalized Capital Model . To ensure a true "apples-to-apples" comparison, your total capital (e.g., $10,000) is distributed with mathematical precision across the exact number of entries for each specific strategy. This eliminates the ROI skewing commonly found in basic scripts, ensuring that every strategy is judged on the same total dollar expenditure over the same "Race Track." Key Features & Analytics • The Podium System: An automated ranking algorithm that awards 🥇 Gold, 🥈 Silver, and 🥉 Bronze medals to the top three performing strategies. Spoiler: Regular Winner: 1-time HODL (Lump Sum) • Simultaneous Strategy Testing: Compare Daily, 7 different Weekly days (Mon-Sun), and Monthly dates (1st–28th) all at once. • Risk Telemetry: Integrated Max Drawdown (MDD) sensors for every strategy, revealing the "Emotional Cost" of your accumulation path. • Race Track Visuals: Blue dashed "Green Flag" and "Checkered Flag" lines visually define the boundaries of your backtest. • Dashboard Customization: Use the "Odd/Even" filter to keep the matrix sleek and readable on (nearly) any screen resolution. The Strategies Tested • 1-TIME HODL: The benchmark (Lump sum entry on Day 1 - meaning all the capital is deployed at the start date). • DAILY DCA: High-frequency, day-by-day accumulation (the capital is split amongst the different entries). • WEEKLY (SUN-SAT): Evaluates which specific day of the week historically captures the best entries (e.g., "Weekend Dips").(The capital is split amongst the different entries). • MONTHLY (1-28 + END): Tests monthly date performance to optimize for beginning-of-month or end-of-month cycles. (The capital is split amongst the different entries). Monte Carlo Simulation & Python Research While this tool allows you to manually check any specific timeframe, manual testing is limited by "Start Date Bias." To find the Universal Winner , I have conducted a Monte Carlo Simulation using 100 random entry dates over the last 5 years via Python/Colab. This research reveals the statistical probability of a day (like Saturday) winning the Gold medal across all market conditions. Access the Python Heatmap Research in my substack article (link for substack in Bio). How to Use 1. Set the Race Track: Input Start and End dates in the settings. 2. Fuel the Engine: Set your Total Capital ($). 3. Analyze the Matrix: Compare ROI vs. MAX DD. The goal is not just the highest return, but the best Risk-Adjusted return. Technical Implementation This script utilizes an array-based telemetry engine to handle the simultaneous calculation of 30+ independent investment strategies. To ensure computational efficiency and bypass the limitations of standard security-based backtesting, I implemented a custom-built accumulator logic using array.new_float() and array.set() . The core calculation loop ( if in_race and is_new_day ) processes capital deployment on a per-bar basis, utilizing ta.change(time("D")) to ensure entry synchronization with the Daily UTC close. By decoupling the unit accumulation ( u_weekly , u_monthly ) from the final valuation logic ( f_get_stats ), the script maintains a Normalized Capital Model. This ensures that even with complex comparative logic across varying frequencies, the script provides a mathematically rigorous, reproducible result that matches real-world execution at the Daily UTC Midnight close. Note: All calculations are made on the "close" bar, which means UTC 00:00. By creating a strategy or using the research, make sure to be aware of your time zone Disclaimer: Past performance is not indicative of future results. This tool is for educational and research purposes only. Rob Maths is not liable for any financial losses. Tags: robmaths, Rob Maths, DCA, HODL, Bitcoin, BTC, Backtest, RiskManagement, Investment, Strategy, Statistics
Penunjuk Pine Script®
oleh Rob_Maths
PA SystemPA System - Price Action Trading System 价格行为交易系统 📊 概述 / Overview PA System is a comprehensive price action trading indicator that combines Smart Money Concepts (SMC), market structure analysis, and multi-timeframe confirmation to identify high-probability trade setups. Designed for both manual traders and algorithmic trading systems. PA System 是一个综合性价格行为交易指标，结合了Smart Money概念(SMC)、市场结构分析和多时间框架确认，用于识别高概率交易机会。适用于手动交易者和算法交易系统。 ✨ 核心特性 / Key Features 🎯 Four-Phase Signal System / 四阶段信号系统 H1 (First Pullback) - Initial bullish retracement in uptrend H2 (Confirmed Entry) - Breakout confirmation for long entries L1 (First Bounce) - Initial bearish bounce in downtrend L2 (Confirmed Entry) - Breakdown confirmation for short entries 中文说明： H1（首次回调） - 上升趋势中的初次回撤信号 H2（确认入场） - 突破确认的做多入场点 L1（首次反弹） - 下降趋势中的初次反弹信号 L2（确认入场） - 跌破确认的做空入场点 📐 Market Structure Detection / 市场结构识别 HH (Higher High) - Uptrend confirmation / 上升趋势确认 HL (Higher Low) - Bullish pullback / 多头回调 LH (Lower High) - Bearish bounce / 空头反弹 LL (Lower Low) - Downtrend confirmation / 下降趋势确认 💎 Smart Money Concepts (SMC) / 智能资金概念 BoS (Break of Structure) - Trend continuation signal / 趋势延续信号 CHoCH (Change of Character) - Potential trend reversal / 潜在趋势反转 📈 Dynamic Trendlines / 动态趋势线 Auto-drawn support and resistance trendlines / 自动绘制支撑阻力趋势线 Real-time extension to current bar / 实时延伸至当前K线 Slope-filtered for accuracy / 斜率过滤确保准确性 🎚️ Multi-Timeframe Analysis / 多时间框架分析 Higher timeframe trend filter (default 4H) / 大周期趋势过滤（默认4小时） Prevents counter-trend trades / 防止逆势交易 Configurable timeframe / 可配置时间周期 📊 Volume Confirmation / 成交量确认 Filters signals based on volume strength / 基于成交量强度过滤信号 20-period volume MA comparison / 与20期成交量均线对比 High-volume bars highlighted / 高成交量K线高亮显示 🎯 Risk Management Tools / 风险管理工具 Automatic SL/TP calculation and display / 自动计算并显示止损止盈 Visual stop loss and take profit lines / 可视化止损止盈线条 Risk percentage and R:R ratio display / 显示风险百分比和盈亏比 Dynamic stop loss sizing (0.3% - 1.5%) / 动态止损范围（0.3% - 1.5%） 📱 Real-Time Alerts / 实时警报 Instant notifications on H2/L2 signals / H2/L2信号即时通知 Webhook support for automation / 支持Webhook自动化 Mobile, email, and popup alerts / 手机、邮件和弹窗警报 📊 Professional Dashboard / 专业仪表盘 Real-time market state (CHANNEL/RANGE/BREAKOUT) / 实时市场状态 Local and MTF trend indicators / 本地及大周期趋势指标 Order flow status (HIGH VOL / LOW VOL) / 订单流状态 Last signal tracker / 最新信号追踪 🔧 参数设置 / Parameter Settings Structure Settings / 结构设置 Parameter Default Range Description Swing Length / 摆动长度 5 2-20 Pivot detection sensitivity / 枢轴点检测灵敏度 Trend Confirm Bars / 趋势确认根数 3 2-10 Consecutive bars for breakout / 突破所需连续K线数 Channel ATR Mult / 通道ATR倍数 2.0 1.0-5.0 Range detection threshold / 区间检测阈值 Signal Settings / 信号设置 Parameter Default Description Enable H2 Longs / 启用H2做多 ✅ Toggle long signals / 开关做多信号 Enable L2 Shorts / 启用L2做空 ✅ Toggle short signals / 开关做空信号 Micro Range Length / 微平台长度 3 Breakout detection bars / 突破检测K线数 Close Strength / 收盘强度 0.6 Minimum close position in bar / K线内最小收盘位置 Filter Settings / 过滤设置 Parameter Default Description Use MTF Filter / 大周期过滤 ✅ Enable higher timeframe filter / 启用大周期过滤 MTF Timeframe / 大周期时间框架 240 (4H) Higher timeframe period / 大周期时间 Use Volume Filter / 成交量过滤 ✅ Require high volume confirmation / 需要高成交量确认 Volume MA Length / 成交量均线周期 20 Volume comparison period / 成交量对比周期 Fast EMA / 快速EMA 20 Short-term trend / 短期趋势 Slow EMA / 慢速EMA 50 Long-term trend / 长期趋势 Risk Management / 风险管理 Parameter Default Description Risk % / 风险百分比 1.0% Risk per trade / 每笔交易风险 R:R Ratio / 盈亏比 2.0 Reward to risk ratio / 盈亏比率 Max SL ATR / 最大止损ATR 3.0 Maximum stop loss in ATR / 最大止损ATR倍数 Min SL % / 最小止损百分比 0.3% Minimum stop loss percentage / 最小止损百分比 Max SL % / 最大止损百分比 1.5% Maximum stop loss percentage / 最大止损百分比 📖 使用方法 / How to Use 1. 基础设置 / Basic Setup For Day Trading (5-15 min charts) / 日内交易（5-15分钟图） text Swing Length: 5 MTF Timeframe: 240 (4H) Risk %: 1.0% R:R: 2.0 For Swing Trading (1-4H charts) / 波段交易（1-4小时图） text Swing Length: 8 MTF Timeframe: D (Daily) Risk %: 0.5% R:R: 3.0 For Scalping (1-5 min charts) / 剥头皮（1-5分钟图） text Swing Length: 3 MTF Timeframe: 60 (1H) Risk %: 0.5% R:R: 1.5 Use Volume Filter: ✅ 2. 信号识别 / Signal Identification Long Entry / 做多入场 ✅ Dashboard shows "Local Trend: BULL" / 仪表盘显示"本地趋势：多头" ✅ MTF Trend shows "BULLISH" / 大周期趋势显示"看涨" ✅ Green circle (H1) appears below bar / 绿色圆点(H1)出现在K线下方 ⏳ Wait for H2 signal (green triangle ▲) / 等待H2信号（绿色三角▲） 📊 Check volume bar is cyan (HIGH VOL) / 检查成交量柱为青色（高成交量） 🎯 Enter at close of H2 bar / 在H2 K线收盘价入场 🛡️ Set SL at red dashed line / 止损设在红色虚线位置 🎁 Set TP at green dashed line / 止盈设在绿色虚线位置 Short Entry / 做空入场 ✅ Dashboard shows "Local Trend: BEAR" / 仪表盘显示"本地趋势：空头" ✅ MTF Trend shows "BEARISH" / 大周期趋势显示"看跌" ✅ Red circle (L1) appears above bar / 红色圆点(L1)出现在K线上方 ⏳ Wait for L2 signal (red triangle ▼) / 等待L2信号（红色倒三角▼） 📊 Check volume bar is cyan (HIGH VOL) / 检查成交量柱为青色（高成交量） 🎯 Enter at close of L2 bar / 在L2 K线收盘价入场 🛡️ Set SL at red dashed line / 止损设在红色虚线位置 🎁 Set TP at green dashed line / 止盈设在绿色虚线位置 3. 警报设置 / Alert Setup Step-by-Step / 分步操作 Click the "⏰" alert icon on chart / 点击图表上的"⏰"警报图标 Select "PA System - Indicator Version" / 选择"PA System (V1.1) - Indicator Version" Condition: "Any alert() function call" / 条件：选择"Any alert() function call" Choose notification method: / 选择通知方式： 📱 Mobile Push / 手机推送 📧 Email / 邮件 🔗 Webhook URL (for automation) / Webhook网址（用于自动化） Set frequency: "Once Per Bar Close" / 频率：选择"Once Per Bar Close" Click "Create" / 点击"创建" Webhook Example for IBKR API / IBKR API的Webhook示例 json { "signal": "{{strategy.order.action}}", "ticker": "{{ticker}}", "entry": {{close}}, "stop_loss": {{plot_0}}, "take_profit": {{plot_1}}, "timestamp": "{{timenow}}" } 4. 交易管理 / Trade Management Position Sizing / 仓位计算 text Account: $10,000 Risk per Trade: 1% = $100 Entry Price: $690.45 Stop Loss: $687.38 Risk per Share: $690.45 - $687.38 = $3.07 Position Size: $100 / $3.07 = 32 shares Partial Profit Taking / 部分止盈 Close 50% position at 1:1 R:R / 在1:1盈亏比时平仓50% Move SL to breakeven / 移动止损至保本位 Let remaining 50% run to 2R target / 让剩余50%跑向2R目标 🎨 视觉元素说明 / Visual Elements Guide Chart Markers / 图表标记 Symbol Color Meaning ⚫ Small Circle / 小圆点 🟢 Green / 绿色 H1 - First bullish pullback / 首次多头回调 ▲ Triangle / 三角形 🟢 Green / 绿色 H2 - Confirmed long entry / 确认做多入场 ⚫ Small Circle / 小圆点 🔴 Red / 红色 L1 - First bearish bounce / 首次空头反弹 ▼ Inverted Triangle / 倒三角 🔴 Red / 红色 L2 - Confirmed short entry / 确认做空入场 Structure Labels / 结构标签 Label Position Meaning HH Above high / 高点上方 Higher High - Bullish / 更高的高点-看涨 HL Below low / 低点下方 Higher Low - Bullish / 更高的低点-看涨 LH Above high / 高点上方 Lower High - Bearish / 更低的高点-看跌 LL Below low / 低点下方 Lower Low - Bearish / 更低的低点-看跌 BoS/CHoCH Lines / 破位线条 Type Color Width Meaning BoS 🔵 Teal / 青色 2px Break of Structure - Trend continues / 结构突破-趋势延续 CHoCH 🔴 Red / 红色 2px Change of Character - Trend reversal / 性质改变-趋势反转 Trendlines / 趋势线 Type Color Style Meaning Bullish / 看涨 🔵 Teal / 青色 Solid / 实线 Uptrend support / 上升趋势支撑 Bearish / 看跌 🔴 Red / 红色 Solid / 实线 Downtrend resistance / 下降趋势阻力 Risk Lines / 风险线条 Type Color Style Meaning Stop Loss / 止损 🔴 Red / 红色 Dashed / 虚线 Suggested stop loss level / 建议止损位 Take Profit / 止盈 🟢 Green / 绿色 Dashed / 虚线 Suggested take profit level / 建议止盈位 Dashboard Colors / 仪表盘颜色 Status Color Meaning BULL / 多头 🟢 Green / 绿色 Bullish trend / 看涨趋势 BEAR / 空头 🔴 Red / 红色 Bearish trend / 看跌趋势 NEUTRAL / 中性 ⚪ Gray / 灰色 No clear trend / 无明确趋势 BREAKOUT / 突破 🟡 Lime / 黄绿 Strong momentum / 强劲动能 HIGH VOL / 高成交量 🔵 Cyan / 青色 High volume confirmation / 高成交量确认 💡 交易策略建议 / Trading Strategy Tips ✅ High Probability Setups / 高概率设置 Trend Alignment / 趋势一致 Local Trend = BULL + MTF Trend = BULLISH / 本地多头 + 大周期看涨 Or: Local Trend = BEAR + MTF Trend = BEARISH / 或：本地空头 + 大周期看跌 Volume Confirmation / 成交量确认 H2/L2 signal appears with cyan volume bar / H2/L2信号伴随青色成交量柱 Volume > 20-period MA / 成交量 > 20期均线 Trendline Support / 趋势线支撑 H2 appears near bullish trendline / H2出现在看涨趋势线附近 L2 appears near bearish trendline / L2出现在看跌趋势线附近 BoS Confirmation / BoS确认 Recent BoS in same direction / 最近同方向的BoS No CHoCH against the trade / 无逆向的CHoCH ❌ Avoid These Setups / 避免这些情况 Conflicting Trends / 趋势冲突 Local BULL but MTF BEARISH / 本地多头但大周期看跌 Market State = RANGE / 市场状态 = 区间 Low Volume / 低成交量 Order Flow shows "LOW VOL" / 订单流显示"低成交量" Volume bar is red (below MA) / 成交量柱为红色（低于均线） Against Trendline / 逆趋势线 Shorting at bullish trendline support / 在看涨趋势线支撑处做空 Buying at bearish trendline resistance / 在看跌趋势线阻力处做多 Recent CHoCH / 近期CHoCH CHoCH appeared within 10 bars / 10根K线内出现CHoCH Potential trend reversal zone / 潜在趋势反转区域 🔄 优化建议 / Optimization Tips For Different Markets / 针对不同市场 Stocks / 股票 text Swing Length: 5-8 MTF: 240 (4H) or D (Daily) Risk %: 0.5-1.0% Best on: SPY, QQQ, AAPL, TSLA Forex / 外汇 text Swing Length: 5 MTF: 240 (4H) Risk %: 1.0-2.0% Best on: EUR/USD, GBP/USD, USD/JPY Use Volume Filter: OFF (Forex volume is unreliable) Crypto / 加密货币 text Swing Length: 3-5 MTF: 240 (4H) Risk %: 0.5-1.0% (high volatility) Max SL %: 2.0-3.0% Best on: BTC, ETH, SOL Futures / 期货 text Swing Length: 5 MTF: 240 (4H) Risk %: 1.0-1.5% Best on: ES, NQ, RTY, CL 🤖 自动化集成 / Automation Integration Python + IBKR API Example / Python + IBKR API示例 python import requests from ib_insync import * def handle_tradingview_alert(alert_data): """ Receives webhook from TradingView alert 接收来自TradingView警报的webhook """ signal = alert_data # "H2 LONG" or "L2 SHORT" ticker = alert_data # "SPY" entry = alert_data # 690.45 stop_loss = alert_data # 687.38 take_profit = alert_data # 696.59 # Connect to IBKR ib = IB() ib.connect('127.0.0.1', 7497, clientId=1) # Create contract contract = Stock(ticker, 'SMART', 'USD') # Calculate position size (1% risk) account_value = ib.accountValues() .value risk_amount = float(account_value) * 0.01 risk_per_share = abs(entry - stop_loss) quantity = int(risk_amount / risk_per_share) # Place order if "LONG" in signal: order = MarketOrder('BUY', quantity) else: order = MarketOrder('SELL', quantity) trade = ib.placeOrder(contract, order) # Set stop loss and take profit ib.placeOrder(contract, StopOrder('SELL', quantity, stop_loss)) ib.placeOrder(contract, LimitOrder('SELL', quantity, take_profit)) ib.disconnect() TradersPost Integration / TradersPost集成 Create TradersPost account / 创建TradersPost账户 Connect IBKR broker / 连接IBKR券商 Get Webhook URL / 获取Webhook网址 Add to TradingView alert / 添加到TradingView警报 Test with paper trading / 用模拟账户测试 📊 性能指标 / Performance Metrics Expected Performance (Backtested) / 预期表现（回测） Metric Value Notes Win Rate / 胜率 60-75% With all filters enabled / 启用所有过滤器 Avg R:R / 平均盈亏比 1.8-2.2 Using 2R target / 使用2R目标 Max Drawdown / 最大回撤 8-12% 1% risk per trade / 每笔1%风险 Profit Factor / 盈利因子 1.8-2.5 Trend-following bias / 趋势跟随偏向 Best Markets / 最佳市场 Trending Avoid ranging markets / 避免区间市场 ⚠️ Disclaimer: Past performance does not guarantee future results. Always test in paper trading first. ⚠️ 免责声明：历史表现不保证未来结果。请先在模拟账户测试。 🛠️ 故障排除 / Troubleshooting Problem: No signals appearing / 问题：没有信号出现 Solution / 解决方案: Disable MTF Filter temporarily / 暂时关闭大周期过滤 Disable Volume Filter / 关闭成交量过滤 Reduce Swing Length to 3 / 将摆动长度降至3 Check if market is ranging (no clear trend) / 检查市场是否处于区间（无明确趋势） Problem: Too many signals / 问题：信号太多 Solution / 解决方案: Enable MTF Filter / 启用大周期过滤 Enable Volume Filter / 启用成交量过滤 Increase Swing Length to 8 / 将摆动长度增至8 Enable Break Filter / 启用破位过滤 Problem: Alerts not working / 问题：警报不工作 Solution / 解决方案: Check "Enable Alerts" is ON / 检查"启用警报"已开启 Verify alert condition is "Any alert() function call" / 确认警报条件为"Any alert() function call" Check notification settings in TradingView / 检查TradingView通知设置 Test alert with "Test" button / 用"测试"按钮测试警报 Problem: SL/TP lines not showing / 问题：止损止盈线不显示 Solution / 解决方案: Enable "Show SL/TP Labels" in settings / 在设置中启用"显示止损止盈标签" Check if signal is recent (lines expire after 10 bars) / 检查信号是否近期（线条在10根K线后消失） Zoom in to see lines more clearly / 放大图表以更清楚地看到线条 📚 常见问题 FAQ Q1: Can I use this on any timeframe? / 可以在任何时间框架使用吗？ A: Yes, but works best on 5min-4H charts. Recommended: 15min (day trading), 1H (swing trading). 可以，但在5分钟-4小时图表效果最佳。推荐：15分钟（日内交易），1小时（波段交易）。 Q2: Do I need to enable all filters? / 需要启用所有过滤器吗？ A: No. Start with all enabled, then disable based on your risk tolerance. MTF filter is highly recommended. 不需要。从全部启用开始，然后根据风险承受能力禁用。强烈推荐MTF过滤器。 Q3: Can I automate this with IBKR? / 可以与IBKR自动化吗？ A: Yes! Use TradingView alerts + Webhook + Python script + IBKR API. See automation example above. 可以！使用TradingView警报 + Webhook + Python脚本 + IBKR API。参见上方自动化示例。 Q4: What's the difference between Strategy and Indicator version? / 策略版和指标版有什么区别？ A: Strategy = backtesting only. Indicator = real-time alerts + automation. Use both: backtest with strategy, trade with indicator. 策略版=仅回测。指标版=实时警报+自动化。两者结合使用：用策略版回测，用指标版交易。 Q5: Why does H2 appear but no trade? / 为什么出现H2但没有交易？ A: This is an indicator, not a strategy. You need to manually place orders or use automation via alerts. 这是指标，不是策略。你需要手动下单或通过警报使用自动化。 ⚖️ 免责声明 / Disclaimer IMPORTANT / 重要提示: This indicator is for educational purposes only. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always: 本指标仅供教育目的。交易涉及重大亏损风险。历史表现不保证未来结果。请务必： ✅ Test in paper trading first / 先在模拟账户测试 ✅ Use proper risk management (1-2% max per trade) / 使用适当风险管理（每笔最多1-2%） ✅ Never risk more than you can afford to lose / 永远不要冒超出承受能力的风险 ✅ Understand the strategy before using / 使用前理解策略原理 Not financial advice. Trade at your own risk. 非投资建议。交易风险自负。
Penunjuk Pine Script®
oleh Yistle
Webhook Candle Sender (OHLCV)This indicator sends OHLCV (Open, High, Low, Close, Volume) candle data via webhook on every confirmed bar close. It is designed to integrate TradingView with an external trading or analytics system (e.g. a local Flask server, paper trading engine, or algorithmic agent). Features: • Sends data only on bar close (no repainting) • Works on any symbol (stocks, crypto, forex) • Works on any timeframe • Outputs structured JSON suitable for APIs and bots • Uses TradingView alert() function for webhook delivery Typical use cases: • Algorithmic trading research • Paper trading systems • Backtesting external strategies • Educational and learning purposes This script does NOT place trades, manage risk, or provide trading signals. It only transmits candle data. No financial advice is provided.
Penunjuk Pine Script®
oleh moha_a_khoja
Commodity Channel Index CCI + EMA strategy ================================================================================ COMMODITY CHANNEL INDEX CCI + EMA STRATEGY - STRATEGY GUIDE 📊 ================================================================================ 💡 COLLABORATION & SUPPORT --------------------------- If you want to collaborate, have an idea for a strategy, or need help writing or customizing code, send an email to burdytrader@gmail.com or send me a message. Suggestions, ideas, and comments are always welcome! 🤝 I also develop automated trading codes for other trading platforms including: - CTrader (C#) - MetaTrader 4 (MQL4) - MetaTrader 5 (MQL5) If you need a strategy converted or developed for any of these platforms, feel free to contact me! ================================================================================ ⚠️ IMPORTANT: INSTRUMENT SELECTION 📈 ------------------------------------- This strategy performs BEST with currency pairs (forex). The CCI indicator works particularly well in the forex market due to the nature of currency movements and the effectiveness of the CCI in identifying overbought and oversold conditions in trending markets. Why Currency Pairs? 🎯 - CCI is highly effective in identifying reversals in forex markets - Currency pairs show clear overbought/oversold patterns - EMA filter (50/200) aligns well with major forex trends - High liquidity ensures reliable signal execution Performance Highlights: In specific currency pairs, when properly configured, this strategy can achieve: - Profit Factor: Over 2.0 - Win Rate: Up to 70% - Particularly effective pairs: USDCAD, EURUSD, GBPJPY While the strategy can work with other instruments (stocks, indices, commodities), currency pairs provide the most consistent and reliable results. For optimal performance, focus on major forex pairs with good liquidity and clear trending characteristics. ================================================================================ WHAT DOES THIS STRATEGY DO? 🎯 --------------------------- This strategy combines the Commodity Channel Index (CCI) with Exponential Moving Averages (EMA) to identify high-probability trading opportunities. The strategy uses CCI crossovers with a smoothing moving average and filters signals using EMA trend confirmation. The strategy automatically enters trades when CCI crosses the smoothing MA in specific zones, indicating potential trend reversals or continuations. HOW IT WORKS? ⚙️ --------------- 1. CCI CALCULATION 📈 The strategy calculates the Commodity Channel Index using: - CCI = (Price - SMA(Price, length)) / (0.015 × Deviation(Price, length)) - Default length: 20 periods - Source: HLC3 (typical price) The CCI shows: - Values above +100 = Overbought conditions - Values below -100 = Oversold conditions - Values around 0 = Neutral conditions 2. SMOOTHING MOVING AVERAGE 📊 A moving average is applied to the CCI to smooth out fluctuations: - Types available: SMA, EMA, SMMA (RMA), WMA, VWMA - Default: SMA with length 14 - Can be disabled (set to "None") This smoothed line acts as a reference for crossover signals. 3. EMA TREND FILTER 🎯 Two EMAs are calculated on the CCI: - EMA 50 (fast EMA) - EMA 200 (slow EMA) When the EMA filter is enabled: - LONG signals only occur when EMA50 > EMA200 (uptrend confirmation) - SHORT signals only occur when EMA50 < EMA200 (downtrend confirmation) This filter can be enabled/disabled via the "Use EMA Filter" option. 4. ENTRY CONDITIONS 🎲 LONG ENTRY (Buy Signal): - CCI crosses ABOVE the Smoothing MA (crossover) - CCI is between Lower Level (-100) and Middle Level (0) - EMA Filter: EMA50 > EMA200 (if filter enabled) - No existing positions (or close opposite positions first) SHORT ENTRY (Sell Signal): - CCI crosses BELOW the Smoothing MA (crossunder) - CCI is between Middle Level (0) and Upper Level (+100) - EMA Filter: EMA50 < EMA200 (if filter enabled) - No existing positions (or close opposite positions first) 5. POSITION MANAGEMENT 💰 The strategy uses a simple position management approach: - Only ONE position at a time (no pyramiding) - If a signal occurs in the opposite direction, closes existing position first - Then opens new position in the new direction - This prevents overexposure and simplifies risk management 6. TAKE PROFIT & STOP LOSS SETTINGS 🎯 The strategy uses percentage-based TP/SL: - Take Profit: 1.0% (default, configurable) - Stop Loss: 0.5% (default, configurable) - Risk/Reward Ratio: 2:1 (TP is double the SL) TP/SL are calculated once when the position opens and remain fixed. AVAILABLE PARAMETERS ⚙️ ----------------------- CCI SETTINGS: 1. CCI Length (Default: 20) - Period for CCI calculation - Lower values = More sensitive to recent price action - Higher values = More smoothed, less sensitive 2. CCI Source (Default: HLC3) - Price source for CCI calculation - Options: close, open, high, low, hlc3, hlcc4, ohlc4 3. CCI Lower Level (Default: -100) - Lower boundary for LONG entry zone - Typically -100 for oversold conditions 4. CCI Middle Level (Default: 0) - Neutral level separating LONG and SHORT zones 5. CCI Upper Level (Default: +100) - Upper boundary for SHORT entry zone - Typically +100 for overbought conditions SMOOTHING MA: 6. Type (Default: SMA) - Moving average type: None, SMA, EMA, SMMA (RMA), WMA, VWMA - Set to "None" to disable smoothing 7. Length (Default: 14) - Period for smoothing MA - Range: 7-28, step 7 EMA FILTER: 8. EMA 1 Length (Default: 50) - Fast EMA period applied to CCI 9. EMA 2 Length (Default: 200) - Slow EMA period applied to CCI 10. Use EMA Filter (Default: true) - Enable/disable EMA trend filter - When enabled: LONG only if EMA50 > EMA200, SHORT only if EMA50 < EMA200 RISK MANAGEMENT: 11. Take Profit (%) (Default: 1.0%) - Profit target as percentage of entry price - For LONG: Entry × (1 + TP%) - For SHORT: Entry × (1 - TP%) 12. Stop Loss (%) (Default: 0.5%) - Stop loss as percentage of entry price - For LONG: Entry × (1 - SL%) - For SHORT: Entry × (1 + SL%) VISUALIZATION 📊 --------------- The strategy displays in a separate panel below the price chart: 1. CCI LINE - Blue line showing the CCI value - Oscillates around zero 2. SMOOTHING MA LINE - Yellow line showing the smoothed CCI - Reference line for crossover signals 3. CCI LEVEL LINES - Red dashed line: Upper Level (+100) - Green dashed line: Lower Level (-100) - Yellow dashed line: Middle Level (0) 4. ENTRY SIGNALS - Green cross: LONG entry signal (when CCI crosses above MA) - Red cross: SHORT entry signal (when CCI crosses below MA) RECOMMENDED SETTINGS 🎯 ----------------------- To get started, you can use these settings: CCI SETTINGS: - CCI Length: 20 (default) - CCI Source: HLC3 (default) - CCI Lower Level: -100 (default) - CCI Middle Level: 0 (default) - CCI Upper Level: +100 (default) SMOOTHING MA: - Type: SMA (default) or EMA for faster response - Length: 14 (default) EMA FILTER: - EMA 1 Length: 50 (default) - EMA 2 Length: 200 (default) - Use EMA Filter: true (recommended for better signal quality) RISK MANAGEMENT: - Take Profit (%): 1.0% (adjust based on your risk/reward preference) - Stop Loss (%): 0.5% (adjust based on your risk tolerance) For more aggressive trading: - Reduce CCI Length to 14-16 - Reduce Smoothing MA Length to 7 - Disable EMA Filter For more conservative trading: - Increase CCI Length to 24-30 - Increase Smoothing MA Length to 21-28 - Keep EMA Filter enabled RECOMMENDED CURRENCY PAIRS 💱 ------------------------------ This strategy is optimized for currency pairs and performs exceptionally well on the following pairs when properly configured: TOP PERFORMING PAIRS: - USDCAD: Can achieve Profit Factor > 2.0 and Win Rate up to 70% - EURUSD: Excellent performance with consistent signals - GBPJPY: Strong results with proper EMA filter configuration These pairs have shown the best historical performance due to: - Clear trending characteristics - Good response to CCI overbought/oversold levels - Strong alignment with EMA 50/200 trend filter - High liquidity ensuring reliable execution When trading these pairs, use the default settings or slightly adjusted parameters based on the pair's volatility. Always backtest on historical data before using real money to find the optimal configuration for each specific pair. PRACTICAL EXAMPLE 📝 -------------------- Scenario: LONG Entry on EUR/USD 1. Market conditions: - Price: 1.1000 - CCI: -80 (in oversold zone) - Smoothing MA: -90 - CCI crosses above Smoothing MA (crossover occurs) - EMA50: -50, EMA200: -70 (EMA50 > EMA200, uptrend confirmed) 2. Strategy checks conditions: ✓ Smoothing MA enabled: Yes ✓ Crossover: Yes (CCI crosses above MA) ✓ CCI in range: Yes (-100 <= -80 <= 0) ✓ EMA Filter: Yes (EMA50 > EMA200) ✓ No existing position: Yes 3. Strategy opens position: - Direction: LONG (Buy) - Entry: 1.1000 (current close) - Take Profit: 1.1110 (1.0% above entry) - Stop Loss: 1.0945 (0.5% below entry) - Risk/Reward: 2:1 4. Outcome scenarios: - If price rises to 1.1110 → Take Profit hit (profit) - If price falls to 1.0945 → Stop Loss hit (loss limited) IMPORTANT NOTE ⚠️ ----------------- This strategy is a technical analysis tool based on CCI and EMA indicators. Like all trading strategies, it does NOT guarantee profits. Trading involves significant risks and you can lose money, including your entire investment. Past performance does not guarantee future results. Always: - Use appropriate risk management - Never risk more than you can afford to lose - Test the strategy on historical data (backtesting) before using real money - Start with small position sizes or paper trading - Understand that no strategy works 100% of the time - Consider market conditions, news events, and other factors - Keep a trading journal to learn and improve The author and contributors are NOT responsible for any losses incurred from using this strategy. Trading decisions are your own responsibility. Profits are NOT guaranteed, and losses are possible. LICENSE 📄 ---------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Strategi Pine Script®
oleh Burdiga84
Delta Volume EMA Strategy ================================================================================ DELTA VOLUME EMA STRATEGY - STRATEGY GUIDE 📊 ================================================================================ 💡 COLLABORATION & SUPPORT --------------------------- If you want to collaborate, have an idea for a strategy, or need help writing or customizing code, send an email to burdytrader@gmail.com or send me a message. Suggestions, ideas, and comments are always welcome! 🤝 ================================================================================ ⚠️ IMPORTANT: INSTRUMENT SELECTION 📈 ------------------------------------- This strategy performs BEST with instruments that have a centralized data flow, such as Futures contracts. Centralized markets provide more accurate and reliable volume data, which is essential for Volume Delta analysis to work effectively. Why Futures? 🎯 - Centralized exchange = Accurate volume data - All trades flow through a single exchange - Volume reflects true buying/selling pressure - Better correlation between volume and price movements While the strategy can work with other instruments (stocks, forex, etc.), volume data quality may vary, which can affect the reliability of Volume Delta signals. For optimal performance, use Futures contracts or other instruments with centralized, high-quality volume data. ================================================================================ WHAT DOES THIS STRATEGY DO? 🎯 --------------------------- This strategy uses Volume Delta analysis combined with Exponential Moving Averages (EMA) to identify high-probability trading opportunities. The Volume Delta measures the difference between buying and selling pressure, helping to identify when strong institutional or smart money movements occur. The strategy automatically enters trades when volume delta reaches extreme levels, indicating potential trend continuation or reversal points. HOW IT WORKS? ⚙️ --------------- 1. VOLUME DELTA CALCULATION 📈 The strategy calculates the Volume Delta using the following formula: - Volume Ratio (v) = Current Volume / Previous Volume - EMA of Close (mac) = EMA(Close, MA Length) × Volume Ratio - EMA of Open (mao) = EMA(Open, MA Length) × Volume Ratio - Volume Delta (vd) = mac - mao The Volume Delta shows: - Positive values (green) = Buying pressure (buyers are more active) - Negative values (red) = Selling pressure (sellers are more active) 2. VOLUME DELTA MOVING AVERAGE 📊 The strategy calculates an EMA of the Volume Delta (vdma) to smooth out fluctuations and identify the overall trend of buying/selling pressure: - vdma = EMA(Volume Delta, EMA Length) - When vdma is above zero = Overall buying pressure - When vdma is below zero = Overall selling pressure 3. PERCENTILE-BASED ENTRY CONDITIONS 🎲 Instead of using fixed thresholds, the strategy uses percentile analysis to identify extreme volume delta movements: For LONG entries: - Analyzes seller volumes (negative volume delta) over the lookback period - Calculates the percentile threshold (default: 80th percentile) - Enters LONG when volume delta becomes positive AND exceeds the threshold - This indicates a strong shift from selling to buying pressure For SHORT entries: - Analyzes buyer volumes (positive volume delta) over the lookback period - Calculates the percentile threshold (default: 80th percentile) - Enters SHORT when volume delta becomes negative AND exceeds the threshold - This indicates a strong shift from buying to selling pressure 4. POSITION SIZING 💰 The strategy offers two position sizing methods: a) RISK VALUE (Fixed Risk in Dollars): - Calculates position size based on a fixed dollar risk amount - Formula: Position Size = Risk Amount / (Entry Price × Stop Loss %) - Ensures consistent risk per trade regardless of price level b) LOTS SIZE: - Uses a fixed lot size for all trades - Simple and straightforward approach - Useful when you want consistent position sizes 5. TAKE PROFIT & STOP LOSS SETTINGS 🎯 The strategy offers flexible TP/SL configuration in three modes: a) PERCENTAGE (%): - TP/SL calculated as a percentage of entry price - Example: 2% TP means entry price × 1.02 (for LONG) or × 0.98 (for SHORT) - Adapts automatically to different price levels b) CURRENCY: - TP/SL set as a fixed currency amount - Example: $100 TP means entry price + $100 (for LONG) or - $100 (for SHORT) - Useful for instruments with consistent price movements c) PIPS: - TP/SL set as a fixed number of pips - Automatically converts pips to price using the instrument's minimum tick - Ideal for forex and other pip-based instruments 6. AUTOMATIC TRADE EXECUTION ⚡ When entry conditions are met: - Opens a position (LONG or SHORT) at market price - Automatically sets Take Profit and Stop Loss based on selected mode - Sends an alert with all trade information - Only one position at a time (waits for current position to close) AVAILABLE PARAMETERS ⚙️ ---------------------- 1. MA LENGTH (Default: 10) - Length of the Exponential Moving Average used for close and open prices - Lower values = More sensitive to recent price action - Higher values = More smoothed, less sensitive 2. EMA LENGTH (Default: 20) - Length of the EMA applied to Volume Delta - Controls the smoothing of the volume delta signal - Lower values = Faster signals, more trades - Higher values = Slower signals, fewer but potentially more reliable trades 3. POSITION SIZE MODE - "Risk Value": Calculate position size based on fixed dollar risk - "Lots Size": Use fixed lot size for all trades 4. FIXED RISK IN $ (Default: 50) - Only used when Position Size Mode = "Risk Value" - The dollar amount you're willing to risk per trade - Strategy calculates position size automatically 5. LOT SIZE (Default: 0.01) - Only used when Position Size Mode = "Lots Size" - Fixed lot size for all trades 6. TAKE PROFIT MODE - "%": Percentage of entry price - "Currency": Fixed currency amount - "Pips": Fixed number of pips 7. STOP LOSS MODE - "%": Percentage of entry price - "Currency": Fixed currency amount - "Pips": Fixed number of pips 8. TAKE PROFIT / STOP LOSS VALUES - Different input fields appear based on selected mode - Configure TP and SL independently 9. VOLUME LOOKBACK PERIOD (Default: 20) - Number of bars used to calculate percentile thresholds - Lower values = More sensitive, adapts faster to recent conditions - Higher values = More stable, uses longer-term statistics 10. PERCENTILE THRESHOLD (Default: 80%) - The percentile level used to identify extreme volume delta movements - 80% means: only enter when volume delta exceeds 80% of recent values - Higher values = Fewer but potentially stronger signals - Lower values = More frequent signals VISUALIZATION 📊 --------------- The strategy displays on the chart: 1. VOLUME DELTA COLUMNS - Green columns = Positive volume delta (buying pressure) - Red columns = Negative volume delta (selling pressure) - Height represents the magnitude of buying/selling pressure 2. VOLUME DELTA MA AREA - Two overlapping area plots showing the smoothed volume delta - Black area (base layer) for overall visualization - Green area (when positive) = Overall buying pressure trend - Red area (when negative) = Overall selling pressure trend - Helps identify the dominant market sentiment 3. ZERO LINE - Horizontal line at zero - Helps visualize when buying/selling pressure crosses the neutral point ALERTS 🔔 -------- When enabled, the strategy sends alerts when a trade is opened. The alert message includes: - Direction: "Buy" for LONG positions or "Sell" for SHORT positions - Entry Price: The price at which the position was opened - TP (Take Profit): The target profit price - SL (Stop Loss): The stop loss price Example alert message: "Buy | Entry: 1.2050 | TP: 1.2250 | SL: 1.1950" Alerts can be configured in TradingView to send notifications via email, SMS, webhooks, or other platforms. RECOMMENDED SETTINGS 🎯 ----------------------- To get started, you can use these settings: STRATEGY PARAMETERS: - MA Length: 10 (default) - EMA Length: 20 (default) - Volume Lookback Period: 20 (default) - Percentile Threshold: 80% (default) POSITION SIZING: - Position Size Mode: "Risk Value" (for risk management) - Fixed Risk in $: Adjust based on your account size (e.g., 1-2% of account) - OR use "Lots Size" with 0.01 lots for small accounts TAKE PROFIT & STOP LOSS: - TP Mode: "%" (recommended for most instruments) - SL Mode: "%" (recommended for most instruments) - Take Profit (%): 2.0% (adjust based on your risk/reward preference) - Stop Loss (%): 1.0% (adjust based on your risk tolerance) For Forex: - Consider using "Pips" mode for TP/SL - Typical values: 20-50 pips TP, 10-30 pips SL For Stocks/Indices: - Use "%" mode for TP/SL - Typical values: 2-5% TP, 1-2% SL PRACTICAL EXAMPLE 📝 ------------------- Scenario: LONG Entry on EUR/USD 1. Market conditions: - Price: 1.1000 - Volume Delta becomes strongly positive - Volume Delta exceeds 80th percentile of recent seller volumes 2. Strategy calculates: - Entry Price: 1.1000 (current close) - Position Size Mode: "Risk Value" - Fixed Risk: $50 - Stop Loss Mode: "%" - Stop Loss: 1.0% - Position Size = $50 / (1.1000 × 0.01) = 4.55 lots 3. Strategy opens position: - Direction: LONG (Buy) - Entry: 1.1000 - Take Profit: 1.1220 (2% above entry) - Stop Loss: 1.0890 (1% below entry) - Alert sent: "Buy | Entry: 1.1000 | TP: 1.1220 | SL: 1.0890" 4. Outcome scenarios: - If price rises to 1.1220 → Take Profit hit (profit) - If price falls to 1.0890 → Stop Loss hit (loss limited to $50) IMPORTANT NOTE ⚠️ ----------------- This strategy is a technical analysis tool based on volume delta analysis. Like all trading strategies, it does NOT guarantee profits. Trading involves significant risks and you can lose money, including your entire investment. Past performance does not guarantee future results. Always: - Use appropriate risk management - Never risk more than you can afford to lose - Test the strategy on historical data (backtesting) before using real money - Start with small position sizes or paper trading - Understand that no strategy works 100% of the time - Consider market conditions, news events, and other factors - Keep a trading journal to learn and improve The author and contributors are NOT responsible for any losses incurred from using this strategy. Trading decisions are your own responsibility. Profits are NOT guaranteed, and losses are possible. LICENSE 📄 --------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Strategi Pine Script®
oleh Burdiga84
Algomist.app v1.0🚀 WMA Crossover Momentum Scalper: Algomist.app AUTO-EXECUTION This strategy is a momentum-based trend-following system optimized for fully automated, high-frequency trade execution via algomist.app webhooks. It systematically enters trades based on a powerful moving average crossover, confirmed by both volume and volatility filters. ⚙️ Core Strategy Logic This script is designed to capture short- to medium-term moves in trending markets by combining three key indicators: Trend Confirmation (WMA Crossover): The primary signal is generated when a Fast WMA (50-period) crosses the Slow WMA (100-period). This crossover confirms the shift in the prevailing trend direction. Volume Filter (VWAP): The trade is only taken if the price is trading above the VWAP for Long entries, or below the VWAP for Short entries. This ensures the trade is aligned with the asset's average price relative to trading volume. Volatility Filter (ATR): A minimum Average True Range (ATR) filter is applied. This is critical for avoiding entries during periods of extreme low volatility ("chop"), ensuring the market has enough movement to justify the trade. 🔗 Algomist.app Automation Ready This is the most important feature. The script contains custom-coded alert() functions that output a perfect JSON payload, making it 100% compatible with the algomist.app webhook infrastructure. Seamless Execution: The strategy instantly transmits all required parameters—symbol, side, entry_price, dynamic stop_loss, and dynamic take_profit—directly to your MT5 terminal through the algomist.app connector. Simple Setup: To enable live automation, you only need to configure a TradingView alert using the provided webhook URL and the {{strategy.order.alert_message}} placeholder on the bar's close. Default Asset: The webhook is pre-configured to trade the ETHUSDC symbol. This can be easily adapted to other crypto or Forex pairs within the algomist.app settings. 🛡️ Dynamic Risk Management (ATR-Based) Risk management is dynamic, ensuring the Stop Loss and Take Profit levels automatically adapt to current market volatility: Stop Loss (SL): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 3.0x ATR. Take Profit (TP): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 9.0x ATR, offering a fixed Reward-to-Risk ratio of 3:1 (9.0 / 3.0). Position Sizing: The script uses strategy.percent_of_equity = 10% for backtesting, but the algomist.app execution is based on an internal calculation using a small percentage (e.g., 5%) of a leveraged notional value for illustrative purposes. Users must set their risk size within the algomist.app platform. Disclaimer: This script is provided as an example for Algomist.app users and is NOT financial advice. Backtest thoroughly across various assets and timeframes. Past performance is not indicative of future results. The user assumes all responsibility for live trading risk.
Strategi Pine Script®
oleh Algomist_
Estrategia Timing SMA 10 de Faber Introduction This strategy is based on the classic trend-following logic popularized by Meb Faber in his white papers (such as "A Quantitative Approach to Tactical Asset Allocation") and frequently discussed by financial analyst José Luis Cárpatos. The core philosophy is simple but effective: stay in the market during uptrends to capture growth, and move to cash during downtrends to protect capital from major drawdowns. This is a long-term "Timing" strategy designed for investors who want to filter out market noise and focus on the primary macro trend. How it Works The strategy utilizes a specific Moving Average on a Monthly timeframe to determine the trend direction. The Indicator: A 10-period Simple Moving Average (SMA) calculated on the Monthly timeframe (1M). Long Condition: When the Monthly Close price is above the 10-Month SMA, the strategy enters a Long position (Risk On). Exit Condition (Cash): When the Monthly Close price falls below the 10-Month SMA, the strategy closes the position and stays in Cash (Risk Off). It does not open short positions; it simply exits the market to preserve capital. Key Features (Multi-Timeframe) This script has been coded using request.security to force the calculation on Monthly data (1M), regardless of the chart timeframe you are currently viewing. This allows you to view the strategy on a Daily or Weekly chart while ensuring the mathematical logic remains strictly bound to the Monthly moving average. The SMA line will appear "stepped" on lower timeframes (e.g., Daily), representing the constant value of the SMA for that specific month. Settings Length: Default is 10 (representing 10 Months), but this can be adjusted if you wish to test other periods (e.g., 12 months). Source: Defaults to close. Visuals Blue Line: Represents the 10-Month SMA. Background Color: Green: Indicates the strategy is currently Long (Price > SMA). Red/Grey: Indicates the strategy is in Cash (Price < SMA). Important Note on Backtesting & Repainting Because this strategy requests Monthly data on lower timeframes (like Daily), please be aware that the current month's data is dynamic. The signal is technically confirmed only at the close of the monthly bar. When viewing on a Daily chart, the script evaluates the relationship between the current price and the current monthly SMA. Disclaimer This script is for educational and research purposes only. Past performance is not indicative of future results. Always manage your risk appropriately.
Strategi Pine Script®
oleh MrOskama
NY Session Bar Counter & Bar painterThe NY Session Bar Counter is a high-visibility technical utility that provides an automated, sequential count of every candle during the New York session (09:30 to 16:00 EST). Unlike standard session highlighters, this tool numbers each bar starting from the market open, allowing traders to identify specific "time-of-day" windows with surgical precision. This script is specifically engineered for traders who follow setups based on specific bar numbers (e.g., the Bar 17 reversal, the Bar 36 lunch-power-hour, or the final EOD flush). 🚀 Key Features Precision Timing: Automatically resets every day at 09:30 AM New York time, regardless of your local timezone settings. Multi-Timeframe Logic: Optimized to work seamlessly on 1m, 5m, 15m, and 30m charts without breaking the daily count. Historical & Replay Compatibility: Unlike many session tools, this script is fully compatible with Bar Replay and displays historical data across several days (up to 500 labels). Special Bar Highlighting: Includes a "Paint Bar" feature that allows you to choose a specific bar number (e.g., Bar 17) and automatically color the candle body for instant visual recognition. Customizable Display: Filter for Odd/Even numbers to reduce chart clutter and adjust font size, color, and position (Above/Below bar). 💡 Why It Is Useful In the modern trading environment, the market moves in cycles of liquidity and volatility that are often tied to specific times. This script is useful because: Standardization: It provides a common language for traders. Instead of saying "the 10:50 AM candle," traders can refer to "Bar 17" (on a 5m chart), which is faster and more consistent. Backtesting Accuracy: When reviewing past days or using Bar Replay, you can easily identify if your strategy triggers at the same relative time every day. Visual Discipline: By highlighting a "Target Bar," you can train your eyes to wait for specific time windows before looking for a setup, helping to prevent overtrading during low-probability hours. Operational Efficiency: It removes the manual work of counting bars from the open, allowing you to focus entirely on price action and order flow. How to Use Install the script on any intraday timeframe (best on 5m or 15m). Adjust Lookback: Use the settings to determine how many historical days you want to view. Identify Patterns: Use the "Special Bar Highlight" to mark the bar where your strategy most frequently triggers.
Penunjuk Pine Script®
oleh farimanga87
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy WHAT THIS STRATEGY IS CryptoFlux Dynamo is an open-source Pine Script v6 strategy designed for momentum-based scalping on cryptocurrency perpetual futures. It combines multiple technical analysis methods into a unified system that adapts its behavior based on current market volatility conditions. This script is published open-source so you can read, understand, and modify the complete logic. The description below explains everything the strategy does so that traders who cannot read Pine Script can fully understand how it works before using it. HOW THIS STRATEGY IS ORIGINAL AND WHY THE INDICATORS ARE COMBINED This strategy uses well-known indicators (MACD, EMA, RSI, MFI, Bollinger Bands, Keltner Channels, ATR). The originality is not in the individual indicators themselves, but in the specific way they are integrated into a regime-adaptive system. Here is the detailed justification for why these components are combined and how they work together: The Problem Being Solved: Standard indicator-based strategies use fixed thresholds. For example, a typical MACD strategy might enter when the histogram crosses above zero. However, in cryptocurrency markets, volatility changes dramatically throughout the day and week. A MACD crossover during a low-volatility consolidation period has very different implications than the same crossover during a high-volatility trending period. Using the same entry thresholds and stop distances in both conditions leads to either: Too many false signals during consolidation (if thresholds are loose) Missing valid opportunities during expansion (if thresholds are tight) Stops that are too tight during volatility spikes (causing premature exits) Stops that are too wide during compression (giving back profits) The Solution Approach: This strategy first classifies the current volatility regime using normalized ATR (ATR as a percentage of price), then dynamically adjusts ALL other parameters based on that classification. This creates a context-aware system rather than a static threshold comparison. How Each Component Contributes to the System: ATR-Based Regime Classification (The Foundation) The strategy calculates ATR over 21 periods, smooths it with a 13-period EMA to reduce noise from wicks, then divides by price to get a normalized percentage. This ATR% is classified into three regimes: - Compression (ATR% < 0.8%): Market is consolidating, breakouts are more likely but false signals are common - Expansion (ATR% 0.8% - 1.6%): Normal trending conditions - Velocity (ATR% > 1.6%): High volatility, larger moves but also larger adverse excursions This regime classification then controls stop distances, profit targets, trailing stop offsets, and signal strength requirements. The regime acts as a "meta-parameter" that tunes the entire system. EMA Ribbon (8/21/34) - Trend Structure Detection The three EMAs establish trend direction and structure. When EMA 8 > EMA 21 > EMA 34, the trend structure is bullish. The slope of the middle EMA (21) is calculated over 8 bars and converted to degrees using arctangent. This slope measurement quantifies trend strength, not just direction. Why these specific periods? The 8/21/34 sequence follows Fibonacci-like spacing and provides good separation on 5-minute cryptocurrency charts. The fast EMA (8) responds to immediate price action, the mid EMA (21) represents the short-term trend, and the slow EMA (34) acts as a trend filter. The EMA ribbon works with the regime classification: during compression regimes, the strategy requires stronger ribbon alignment before entry because false breakouts are more common. MACD (8/21/5) - Momentum Measurement The MACD uses faster parameters (8/21/5) than the standard (12/26/9) because cryptocurrency markets move faster than traditional markets. The histogram is smoothed with a 5-period EMA to reduce noise. The key innovation is the adaptive histogram baseline. Instead of using a fixed threshold, the strategy calculates a rolling baseline from the smoothed absolute histogram value, then multiplies by a sensitivity factor (1.15). This means the threshold for "significant momentum" automatically adjusts based on recent momentum levels. The MACD works with the regime classification: during velocity regimes, the histogram baseline is effectively higher because recent momentum has been stronger, preventing entries on relatively weak momentum. RSI (21 period) and MFI (21 period) - Independent Momentum Confirmation RSI measures momentum using price changes only. MFI (Money Flow Index) measures momentum using price AND volume. By requiring both to confirm, the strategy filters out price moves that lack volume support. The 21-period length is longer than typical (14) to reduce noise on 5-minute charts. The trigger threshold (55 for longs, 45 for shorts) is slightly offset from 50 to require momentum in the trade direction, not just neutral readings. These indicators work together: a signal requires RSI > 55 AND MFI > 55 for longs. This dual confirmation reduces false signals from price manipulation or low-volume moves. Bollinger Bands (1.5 mult) and Keltner Channels (1.8 mult) - Squeeze Detection When Bollinger Bands contract inside Keltner Channels, volatility is compressing and a breakout is likely. This is the "squeeze" condition. When the bands expand back outside the channels, the squeeze "releases." The strategy uses a 1.5 multiplier for Bollinger Bands (tighter than standard 2.0) and 1.8 for Keltner Channels. These values were chosen to identify meaningful squeezes on 5-minute cryptocurrency charts without triggering too frequently. The squeeze detection works with the regime classification: squeeze releases during compression regimes receive additional signal strength points because breakouts from consolidation are more significant. Volume Impulse Detection - Institutional Participation Filter The strategy calculates a volume baseline (34-period SMA) and standard deviation. A "volume impulse" is detected when current volume exceeds the baseline by 1.15x OR when the volume z-score exceeds 0.5. This filter ensures entries occur when there is meaningful market participation, not during low-volume periods where price moves are less reliable. Volume impulse is required for all entries and adds points to the composite signal strength score. Cycle Oscillator - Trend Alignment Filter The strategy calculates a 55-period EMA as a cycle basis, then measures price deviation from this basis as a percentage. When price is more than 0.15% above the cycle basis, the cycle is bullish. When more than 0.15% below, the cycle is bearish. This filter prevents counter-trend entries. Long signals require bullish cycle alignment; short signals require bearish cycle alignment. BTC Dominance Filter (Optional) - Market Regime Filter The strategy can optionally use BTC.D (Bitcoin Dominance) as a market regime filter. When BTC dominance is rising (slope > 0.12), the market is in "risk-off" mode and long entries on altcoins are filtered. When dominance is falling (slope < -0.12), short entries are filtered. This filter is optional because the BTC.D data feed may lag during low-liquidity periods. How The Components Work Together (The Mashup Justification): The strategy uses a composite scoring system where each signal pathway contributes points: Trend Break pathway (30 points): Requires EMA ribbon alignment + positive slope + price breaks above recent structure high Momentum Surge pathway (30 points): Requires MACD histogram > adaptive baseline + MACD line > signal + RSI > 55 + MFI > 55 + volume impulse Squeeze Release pathway (25 points): Requires BB inside KC (squeeze) then release + momentum bias + histogram confirmation Micro Pullback pathway (15 points): Requires shallow retracement to fast EMA within established trend + histogram confirmation + volume impulse Additional modifiers: +5 points if volume impulse is present, -5 if absent +5 points in velocity regime, -2 in compression regime +5 points if cycle is aligned, -5 if counter-trend A trade only executes when the composite score reaches the minimum threshold (default 55) AND all filters agree (session, cycle bias, BTC dominance if enabled). This scoring system is the core innovation: instead of requiring ALL conditions to be true (which would generate very few signals) or ANY condition to be true (which would generate too many false signals), the strategy requires ENOUGH conditions to be true, with different conditions contributing different weights based on their reliability. HOW THE STRATEGY CALCULATES ENTRIES AND EXITS Entry Logic: 1. Calculate current volatility regime from ATR% 2. Calculate all indicator values (MACD, EMA, RSI, MFI, squeeze, volume) 3. Evaluate each signal pathway and sum points 4. Check all filters (session, cycle, dominance, kill switch) 5. If composite score >= 55 AND all filters pass, generate entry signal 6. Calculate position size based on risk per trade and regime-adjusted stop distance 7. Execute entry with regime name as comment Position Sizing Formula: RiskCapital = Equity * (0.65 / 100) StopDistance = ATR * StopMultiplier(regime) RawQuantity = RiskCapital / StopDistance MaxQuantity = Equity * (12 / 100) / Price Quantity = min(RawQuantity, MaxQuantity) Quantity = round(Quantity / 0.001) * 0.001 This ensures each trade risks approximately 0.65% of equity regardless of volatility, while capping total exposure at 12% of equity. Stop Loss Calculation: Stop distance is ATR multiplied by a regime-specific multiplier: Compression regime: 1.05x ATR (tighter stops because moves are smaller) Expansion regime: 1.55x ATR (standard stops) Velocity regime: 2.1x ATR (wider stops to avoid premature exits during volatility) Take Profit Calculation: Target distance is ATR multiplied by regime-specific multiplier and base risk/reward: Compression regime: 1.6x ATR * 1.8 base R:R * 0.9 regime bonus = approximately 2.6x ATR Expansion regime: 2.05x ATR * 1.8 base R:R * 1.0 regime bonus = approximately 3.7x ATR Velocity regime: 2.8x ATR * 1.8 base R:R * 1.15 regime bonus = approximately 5.8x ATR Trailing Stop Logic: When adaptive trailing is enabled, the strategy calculates a trailing offset based on ATR and regime: Compression regime: 1.1x base offset (looser trailing to avoid noise) Expansion regime: 1.0x base offset (standard) Velocity regime: 0.8x base offset (tighter trailing to lock in profits during fast moves) The trailing stop only activates when it would be tighter than the initial stop. Momentum Fail-Safe Exits: The strategy closes positions early if momentum reverses: Long positions close if MACD histogram turns negative OR EMA ribbon structure breaks (fast EMA crosses below mid EMA) Short positions close if MACD histogram turns positive OR EMA ribbon structure breaks This prevents holding through momentum reversals even if stop loss hasn't been hit. Kill Switch: If maximum drawdown exceeds 6.5%, the strategy disables new entries until manually reset. This prevents continued trading during adverse conditions. HOW TO USE THIS STRATEGY Step 1: Apply to Chart Use a 5-minute chart of a high-liquidity cryptocurrency perpetual (BTC/USDT, ETH/USDT recommended) Ensure at least 200 bars of history are loaded for indicator stabilization Use standard candlestick charts only (not Heikin Ashi, Renko, or other non-standard types) Step 2: Understand the Visual Elements EMA Ribbon: Three lines (8/21/34 periods) showing trend structure. Bullish when stacked upward, bearish when stacked downward. Background Color: Shows current volatility regime - Indigo/dark blue = Compression (low volatility) - Purple = Expansion (normal volatility) - Magenta/pink = Velocity (high volatility) Bar Colors: Reflect signal strength divergence. Brighter colors indicate stronger directional bias. Triangle Markers: Entry signals. Up triangles below bars = long entry. Down triangles above bars = short entry. Dashboard (top-right): Real-time display of regime, ATR%, signal strengths, position status, stops, targets, and risk metrics. Step 3: Interpret the Dashboard Regime: Current volatility classification (Compression/Expansion/Velocity) ATR%: Normalized volatility as percentage of price Long/Short Strength: Current composite signal scores (0-100) Cycle Osc: Price deviation from 55-period EMA as percentage Dominance: BTC.D slope and filter status Position: Current position direction or "Flat" Stop/Target: Current stop loss and take profit levels Kill Switch: Status of drawdown protection Volume Z: Current volume z-score Impulse: Whether volume impulse condition is met Step 4: Adjust Parameters for Your Needs For more conservative trading: Increase "Minimum Composite Signal Strength" to 65 or higher For more aggressive trading: Decrease to 50 (but expect more false signals) For higher timeframes (15m+): Increase "Structure Break Window" to 12-15, increase "RSI Momentum Trigger" to 58 For lower liquidity pairs: Increase "Volume Impulse Multiplier" to 1.3, increase slippage in strategy properties To disable short selling: Uncheck "Enable Short Structure" To disable BTC dominance filter: Uncheck "BTC Dominance Confirmation" STRATEGY PROPERTIES (BACKTEST SETTINGS) These are the exact settings used in the strategy's Properties dialog box. You must use these same settings when evaluating the backtest results shown in the publication: Initial Capital: $100,000 Justification: This amount is higher than typical retail accounts. I chose this value to demonstrate percentage-based returns that scale proportionally. The strategy uses percentage-based position sizing (0.65% risk per trade), so a $10,000 account would see the same percentage returns with 10x smaller position sizes. The absolute dollar amounts in the backtest should be interpreted as percentages of capital. Commission: 0.04% (commission_value = 0.04) Justification: This reflects typical perpetual futures exchange fees. Major exchanges charge between 0.02% (maker) and 0.075% (taker). The 0.04% value is a reasonable middle estimate. If your exchange charges different fees, adjust this value accordingly. Higher fees will reduce net profitability. Slippage: 1 tick Justification: This is conservative for liquid pairs like BTC/USDT on major exchanges during normal conditions. For less liquid altcoins or during high volatility, actual slippage may be higher. If you trade less liquid pairs, increase this value to 2-3 ticks for more realistic results. Pyramiding: 1 Justification: No position stacking. The strategy holds only one position at a time. This simplifies risk management and prevents overexposure. calc_on_every_tick: true Justification: The strategy evaluates on every price update, not just bar close. This is necessary for scalping timeframes where waiting for bar close would miss opportunities. Note that this setting means backtest results may differ slightly from bar-close-only evaluation. calc_on_order_fills: true Justification: The strategy recalculates immediately after order fills for faster response to position changes. RISK PER TRADE JUSTIFICATION The default risk per trade is 0.65% of equity. This is well within the TradingView guideline that "risking more than 5-10% on a trade is not typically considered viable." With the 12% maximum exposure cap, even if the strategy takes multiple consecutive losses, the total risk remains manageable. The kill switch at 6.5% drawdown provides additional protection by halting new entries during adverse conditions. The position sizing formula ensures that stop distance (which varies by regime) is accounted for, so actual risk per trade remains approximately 0.65% regardless of volatility conditions. SAMPLE SIZE CONSIDERATIONS For statistically meaningful backtest results, you should select a dataset that generates at least 100 trades. On 5-minute BTC/USDT charts, this typically requires: 2-3 months of data during normal market conditions 1-2 months during high-volatility periods 3-4 months during low-volatility consolidation periods The strategy's selectivity (requiring 55+ composite score plus all filters) means it generates fewer signals than less filtered approaches. If your backtest shows fewer than 100 trades, extend the date range or reduce the minimum signal strength threshold. Fewer than 100 trades produces statistically unreliable results. Win rate, profit factor, and other metrics can vary significantly with small sample sizes. STRATEGY DESIGN COMPROMISES AND LIMITATIONS Every strategy involves trade-offs. Here are the compromises made in this design and the limitations you should understand: Selectivity vs. Opportunity Trade-off The 55-point minimum threshold filters many potential trades. This reduces false signals but also misses valid setups that don't meet all criteria. Lowering the threshold increases trade frequency but decreases win rate. There is no "correct" threshold; it depends on your preference for fewer higher-quality signals vs. more signals with lower individual quality. Regime Classification Lag The ATR-based regime detection uses historical data (21 periods + 13-period smoothing). It cannot predict sudden volatility spikes. During flash crashes or black swan events, the strategy may be classified in the wrong regime for several bars before the classification updates. This is an inherent limitation of any lagging indicator. Indicator Parameter Sensitivity The default parameters (MACD 8/21/5, EMA 8/21/34, RSI 21, etc.) are tuned for BTC/ETH perpetuals on 5-minute charts during 2024 market conditions. Different assets, timeframes, or market regimes may require different parameters. There is no guarantee that parameters optimized on historical data will perform similarly in the future. BTC Dominance Filter Limitations The CRYPTOCAP:BTC.D data feed may lag during low-liquidity periods or weekends. The dominance slope calculation uses a 5-bar SMA, adding additional delay. If you notice the filter behaving unexpectedly, consider disabling it. Backtest vs. Live Execution Differences TradingView backtesting does not replicate actual broker execution. Key differences: Backtests assume perfect fills at calculated prices; real execution involves order book depth, latency, and partial fills The calc_on_every_tick setting improves backtest realism but still cannot capture sub-bar price action or order book dynamics Commission and slippage settings are estimates; actual costs vary by exchange, time of day, and market conditions Funding rates on perpetual futures are not modeled in backtests and can significantly impact profitability over time Exchange-specific limitations (position limits, liquidation mechanics, order types) are not modeled Market Condition Dependencies This strategy is designed for trending and breakout conditions. During extended sideways consolidation with no clear direction, the strategy may generate few signals or experience whipsaws. No strategy performs well in all market conditions. Cryptocurrency-Specific Risks Cryptocurrency markets operate 24/7 without session boundaries. This means: No natural "overnight" risk reduction Volatility can spike at any time Liquidity varies significantly by time of day Exchange outages or issues can occur at any time WHAT THIS STRATEGY DOES NOT DO To be straightforward about limitations: This strategy does not guarantee profits. Past backtest performance does not indicate future results. This strategy does not predict the future. It reacts to current conditions based on historical patterns. This strategy does not account for funding rates, which can significantly impact perpetual futures profitability. This strategy does not model exchange-specific execution issues (partial fills, requotes, outages). This strategy does not adapt to fundamental news events or black swan scenarios. This strategy is not optimized for all market conditions. It may underperform during extended consolidation. IMPORTANT RISK WARNINGS Past performance does not guarantee future results. The backtest results shown reflect specific historical market conditions and parameter settings. Markets change constantly, and strategies that performed well historically may underperform or lose money in the future. A single backtest run does not constitute proof of future profitability. Trading involves substantial risk of loss. Cryptocurrency derivatives are highly volatile instruments. You can lose your entire investment. Only trade with capital you can afford to lose completely. This is not financial advice. This strategy is provided for educational and informational purposes only. It does not constitute investment advice, trading recommendations, or any form of financial guidance. The author is not a licensed financial advisor. You are responsible for your own decisions. Before using this strategy with real capital: Thoroughly understand the code and logic by reading the open-source implementation Forward test with paper trading or very small positions for an extended period Verify that commission, slippage, and execution assumptions match your actual trading environment Understand that live results will differ from backtest results Consider consulting with a qualified financial advisor No guarantees or warranties. This strategy is provided "as is" without any guarantees of profitability, accuracy, or suitability for any purpose. The author is not responsible for any losses incurred from using this strategy. OPEN-SOURCE CODE STRUCTURE The strategy code is organized into these sections for readability: Configuration Architecture: Input parameters organized into logical groups (Core Controls, Optimization Constants, Regime Intelligence, Signal Pathways, Risk Architecture, Visualization) Helper Functions: calcQty() for position sizing, clamp01() and normalize() for value normalization, calcMFI() for Money Flow Index calculation Core Indicator Engine: EMA ribbon, ATR and regime classification, MACD with adaptive baseline, RSI, MFI, volume analytics, cycle oscillator, BTC dominance filter, squeeze detection Signal Pathway Logic: Trend break, momentum surge, squeeze release, micro pullback pathways with composite scoring Entry/Exit Orchestration: Signal filtering, position sizing, entry execution, stop/target calculation, trailing stop logic, momentum fail-safe exits Visualization Layer: EMA plots, regime background, bar coloring, signal labels, dashboard table You can read and modify any part of the code. Understanding the logic before deployment is strongly recommended. - Made with passion by officialjackofalltrades
Strategi Pine Script®
oleh officialjackofalltrades
Elite MTF EMA Reclaim StrategyThis script is a 6-minute execution MTF EMA “retest → reclaim” strategy. It looks for trend-aligned pullbacks into fast EMAs, then enters when price reclaims and (optionally) retests the reclaim level—while filtering out chop (low trend strength/volatility or recent EMA20/50 crosses) and enforcing higher-timeframe alignment (Daily + 1H, or whichever you select). How to use Run it on a 6-minute chart (that’s what the presets are tuned for). Pick your Market (Forex / XAUUSD / Crypto / Indices) and a Preset: Elite = strictest, cleanest (fewer signals) Balanced = middle ground Aggressive = most signals, loosest filters Set HTF Alignment Mode: D + H1 (recommended) for highest quality Off if you want more trades / LTF-only testing Leave Kill Chop = ON (recommended). If you’re not getting trades, this is usually the blocker. Choose entry behavior: If Require Retest = true, entries happen on the retest after reclaim (cleaner, later). If Require Retest = false, entries trigger on reclaim using Reclaim Timing Default: “Preset” uses the strategy’s recommended default per market/preset or force Reclaim close / Next bar confirmation For backtesting, keep Mode = Strategy (Backtest). For alerts/visual-only, set Mode = Indicator (Signals Only). Use Show Signals (All Modes) to toggle triangles on/off without affecting trades. Tip: If TradingView says “not enough data,” switch symbol history to “All,” reduce HTF alignment (try H1 only), or backtest a more recent date range.
Strategi Pine Script®
oleh sledgeproduuctions
Volatility Shield ProConcept: Volatility Shield Pro is a multi-dimensional execution engine designed to filter high-probability entries by triangulating Trend, Institutional Volume, and Statistical Exhaustion. Why this is original: Unlike standard indicators that look at price in a vacuum, this uses a Volume-Weighted ATR (VWATR) to distinguish between retail noise and institutional "Strikes." It integrates an ADR (Average Daily Range) Fuel gauge to prevent entries into exhausted moves, solving the common problem of buying the "top" of a trend. Components & Logic: Institutional Strike Engine: Uses VWATR normalized against a 50-period SMA to find momentum backed by volume. ADR Fuel Gauge: Calculated by comparing current price travel to the 10-day ADR. A "State" of EXHAUSTED is triggered at 120% to warn of mean reversion. HTF Anchor: A built-in Higher Time Frame EMA filter (default 4H) to ensure local trades align with the macro tide. Live EDGE Tracker: A real-time backtesting module that calculates the win rate of the "Strike" signals on the current chart history using a 1.5:1 Reward-to-Risk ratio. This combined tool addresses the three main reasons most trading systems fail by integrating higher-timeframe bias, daily range exhaustion, and volume confirmation into one framework: Fighting the Tide (HTF Ribbon): Keeps traders aligned with the dominant higher-timeframe trend to avoid counter-trend entries. Running Out of Gas (ADR Fuel): Measures a symbol’s average daily range to prevent chasing moves that have already reached their statistical limit. Ghost Volume (RVOL/VWATR): Filters out low-quality, retail-driven activity by requiring institutional-level volume spikes before taking trades. In essence, it combines trend alignment, range exhaustion detection, and real-volume filtering to eliminate the most common account-killing mistakes. The "Triple-Threat" Trade Setup This is the highest-probability setup the tool can produce. When these three things align, the "Edge" is at its peak: The Anchor: HTF Ribbon is Bright Green. The Local: Atlas Trend Bias is BULLISH and State is STRIKE. The Value: ADR Fuel is Low (40-60%), meaning the stock has massive room to move before hitting daily resistance.
Penunjuk Pine Script®
oleh Crypt0Curious
TradingView Alert Adapter for AlgoWayTRALADAL is a universal TradingView alert adapter designed for traders who work with indicators and want to test and automate indicator-based signals in a structured way. It allows users to convert indicator outputs into a TradingView strategy and forward the same logic through alerts for multi-platform execution via AlgoWay. This script can be used as TradingView indicator automation, enabling traders to build a TradingView strategy from indicators and route TradingView alerts through an AlgoWay connector TradingView workflow for multi-platform execution. Why this adapter is needed Most TradingView indicators are not available as strategies. Traders often receive visual signals or alerts but have no access to objective statistics such as win rate, drawdown, or profit factor. This adapter solves that problem by providing a generic framework that transforms indicator signals into a backtestable strategy — without modifying indicator code and without requiring Pine Script knowledge. Input source–based design (including closed indicators) All conditions in TRALADAL are built using input sources, which means you can connect: Event-based signals (1 / non-zero values, arrows, shapes) Indicator lines and values (EMA, VWAP, RSI, MACD, etc.) Outputs from invite-only or closed-source indicators If an indicator produces a visible signal or alert-compatible output, it can be evaluated and tested using this adapter, even when the source code is locked. Three-level signal logic The strategy uses a three-layer condition model commonly applied in discretionary and systematic trading: Signal — primary entry trigger Confirmation — directional validation Filter — additional noise reduction Each level can be enabled independently and combined using AND / OR logic, allowing traders to test multi-indicator systems without writing complex scripts. Risk management and alert execution The adapter supports practical risk parameters: Stop Loss (pips) Take Profit (pips) Trailing Stop (pips) Two execution modes are available: Strategy Mode — risk rules are applied inside the TradingView Strategy Tester Alert Mode — risk parameters are embedded into structured TradingView alerts and handled by AlgoWay during execution Position sizing follows TradingView conventions (percent of equity, cash, or contracts) to keep strategy results and alerts aligned. Typical use cases This TradingView alert adapter is intended for: Indicator-based trading systems Backtesting signals from closed or invite-only scripts Comparing multiple indicators within a single strategy Sending TradingView alerts to external trading platforms via AlgoWay The adapter does not generate signals or trading recommendations. Its purpose is to provide a transparent and testable workflow from indicator signals to TradingView alerts and automated execution.
Strategi Pine Script®
oleh AlgowayConnector
1
Kalman Hull Kijun [BackQuant]Kalman Hull Kijun A trend baseline that merges three ideas into one clean overlay, Kalman filtering for noise control, Hull-style responsiveness, and a Kijun-like Donchian midline for structure and bias. Context and lineage This indicator sits in the same family as two related scripts: Kalman Price Filter This is the foundational building block. It introduces the Kalman filter concept, a state-estimation algorithm designed to infer an underlying “true” signal from noisy measurements, originally used in aerospace guidance and later adopted across robotics, economics, and markets. Kalman Hull Supertrend This is the original script made, which people loved. So it inspired me to create this one. Kalman Hull Kijun uses the same core philosophy as the Supertrend variant, but instead of building a Supertrend band system, it produces a single structural baseline that behaves like a Kijun-style reference line. What this indicator is trying to solve Most trend baselines sit on a bad trade-off curve: If you smooth hard, the line reacts late and misses turns. If you react fast, the line whipsaws and tracks noise. Kalman Hull Kijun is designed to land closer to the middle: Cleaner than typical fast moving averages in chop. More responsive than slow averages in directional phases. More “structure aware” than pure averages because the baseline is range-derived (Kijun-like) after filtering. Core idea in plain language The plotted line is a Kijun-like baseline, but it is not built from raw candles directly. High level flow: Start with a chosen price stream (source input). Reduce measurement noise using Kalman-style state estimation. Add Hull-style responsiveness so the filtered stream stays usable for trend work. Build a Kijun-like baseline by taking a Donchian midpoint of that filtered stream over the base period. So the output is a single baseline that is intended to be: Less jittery than a simple fast MA. Less laggy than a slow MA. More “range anchored” than standard smoothing lines. How to read it 1) Trend and bias (the primary use) Price above the baseline, bullish bias. Price below the baseline, bearish bias. Clean flips across the baseline are regime changes, especially when followed by a hold or retest. 2) Retests and dynamic structure Treat the baseline like dynamic S/R rather than a signal generator: In uptrends, pullbacks that respect the baseline can act as continuation context. In downtrends, reclaim failures around the baseline can act as continuation context. Repeated back-and-forth around the line usually means compression or chop, not clean trend. 3) Extension vs compression (using the fill) The fill is meant to communicate “distance” and “pressure” visually: Large separation between price and baseline suggests expansion. Price compressing into the baseline suggests rebalancing and decision points. Inputs and what they change Kijun Base Period Controls the structural memory of the baseline. Higher values track broader swings and reduce flips. Lower values track tighter swings and react faster. Kalman Price Source Defines what data the filter is estimating. Close is usually the cleanest default. HL2 often “feels” smoother as an average price. High/Low sources can become more reactive and less stable depending on the market. Measurement Noise Think of this as the main smoothness knob: Higher values generally produce a calmer filtered stream. Lower values generally produce a faster, more reactive stream. Process Noise Think of this as adaptability: Higher values adapt faster to changing conditions but can get twitchy. Lower values adapt slower but stay stable. Plotting and UI (what you see on chart) 1) Adaptive line coloring Baseline turns bullish color when price is above it. Baseline turns bearish color when price is below it. This makes the state readable without extra panels. 2) Gradient “energy” fill Bull fill appears between price and baseline when above. Bear fill appears between price and baseline when below. The goal is clarity on separation and control, not decoration. 3) Rim effect A subtle band around price that only appears on the active side. Helps highlight directional control without hiding candles. 4) Candle painting (optional) Candles can be colored to match the current bias. Useful for scanning many charts quickly. Disable if you prefer raw candles. Alerts Long state alert when price is above the baseline. Short state alert when price is below the baseline. Best used as a bias or regime notification, not a standalone entry trigger. Where it fits in a workflow This is a context layer, it pairs well with: Market structure tools, BOS/MSB, OBs, FVGs. Momentum triggers that need a regime filter. Mean reversion tools that need “do not fade trends” context. Limitations No baseline eliminates chop whipsaws, tuning only manages the trade-off. Settings should not be copy pasted across assets without checking behavior. This does not forecast, it estimates and smooths state, then expresses it as a structural baseline. Disclaimer Educational and informational only, not financial advice. Not a complete trading system. If you use it in any trading workflow, do proper backtesting, forward testing, and risk management before any live execution.
Penunjuk Pine Script®
oleh BackQuant
SMC Post-Analysis Lab [PhenLabs]📊 SMC Post-Analysis Lab Version: PineScript™ v6 📌 Description The SMC Post-Analysis Lab is a dedicated hindsight analysis tool built for traders who want to understand what really happened during any historical trading period. Unlike forward-looking indicators, this tool lets you scroll back through time and instantly receive algorithmic classification of market states using Smart Money Concepts methodology. Whether you’re reviewing a losing trade, studying a successful session, or building your pattern recognition skills, this indicator provides immediate context. The expansion-aware algorithm processes price action within your selected window and outputs clear, actionable classifications ranging from Parabolic Expansion to Consolidation Inducements. Stop relying on subjective post-trade analysis. Let the algorithm objectively tell you whether institutional players were accumulating, distributing, or running inducements during your trades. 🚀 Points of Innovation First indicator specifically designed for SMC-based post-trade review rather than live signal generation Dual-mode analysis system allowing both dynamic scrollback and precise date selection Expansion-aware classification algorithm that weighs range position against net displacement Real-time efficiency metrics calculating directional quality of price movement Integrated visual FVG detection within the analysis window only Interactive table with clickable date range adjustment via chart interface 🔧 Core Components Pivot Detection Engine: Uses configurable pivot length to identify significant swing highs and lows for structure break detection Window Calculator: Determines active analysis zone based on either bar offset or timestamp boundaries Data Aggregator: Tracks window open, high, low, close and counts bullish/bearish structure break events State Classification Algorithm: Applies hierarchical logic to determine market state from six possible classifications Visual Renderer: Draws structure breaks, FVG boxes, and window highlighting within the active zone 🔥 Key Features Sliding Window Mode: Use the Scroll Back slider to dynamically move your analysis zone backwards through history bar-by-bar Date Range Mode: Select specific start and end timestamps for precise session or trade review Six Market State Classifications: Parabolic Expansion (Bull/Bear), Bullish/Bearish Order Flow, Accumulation/Distribution Reversal, and Consolidation/Inducement Range Position Percentile: See exactly where price closed relative to the window’s high-low range as a percentage Bull/Bear Event Counter: Quantified count of structure breaks in each direction during the analysis period Efficiency Calculation: Net move divided by total range reveals trending quality versus chop 🎨 Visualization Blue Window Highlight: Active analysis zone is clearly marked with blue background shading on the chart Structure Break Lines: Dashed lines appear at each bullish or bearish structure break within the window FVG Boxes: Fair Value Gaps automatically render as semi-transparent boxes in bullish or bearish colors Dashboard Table: Top-right positioned table displays State, Analysis description, and Metrics in real-time Color-Coded States: Each classification uses distinct coloring for immediate visual recognition Interactive Tip Row: Optional help text guides users on clicking the table to adjust date range 📖 Usage Guidelines General Configuration Analysis Mode: Default is Sliding Window. Choose Date Range for specific timestamp analysis. Sliding Window Settings Scroll Back (Bars): Default 0. Increase to move window backwards into history. Window Width (Bars): Default 100. Range 20-50 for scalping, 100+ for swing analysis. Date Range Settings Start Date: Select the beginning timestamp for your analysis period. End Date: Select the ending timestamp for your analysis period. Visual Settings Show Help Tip: Default true. Toggle to hide instructional row in dashboard. Bullish Color: Default teal. Customize for bullish elements. Bearish Color: Default red. Customize for bearish elements. SMC Parameters Pivot Length: Default 5. Lower values (3-5) catch minor breaks. Higher values (10+) focus on major swings. ✅ Best Use Cases Post-trade review to understand why entries succeeded or failed Session analysis to identify institutional activity patterns Trade journaling with objective algorithmic classifications Pattern recognition training through historical scrollback Identifying whether stop hunts were inducements or legitimate breaks Comparing your real-time read versus what the algorithm detected ⚠️ Limitations Designed for historical analysis only, not live trade signals Classification accuracy depends on appropriate pivot length for the timeframe FVG detection uses simple gap logic without mitigation tracking State classification is based on window data only, not broader context Requires manual scrolling or date input to review different periods 💡 What Makes This Unique Purpose-Built for Review: Unlike most indicators focused on live signals, this is designed specifically for post-trade analysis Expansion-Aware Logic: Algorithm weighs both position in range AND directional efficiency for accurate state detection Interactive Date Control: Click the dashboard table to reveal draggable anchors for window adjustment directly on chart 🔬 How It Works 1. Window Definition: User selects either Sliding Window or Date Range mode System calculates which bars fall within the active analysis zone Active zone receives blue background highlighting 2. Data Collection: Algorithm captures window open, running high, running low, and current close Structure breaks are detected when price crosses above last pivot high or below last pivot low Bullish and bearish events are counted separately 3. State Classification: Range Position calculates where close sits as percentage of high-low range Efficiency calculates net move divided by total range Hierarchical logic applies priority rules from Parabolic states down to Consolidation 4. Output Rendering: Dashboard table updates with State title, Analysis description, and Metrics Visual elements render within window only to keep chart clean Colors reflect bullish, bearish, or neutral classification 💡 Note: This indicator is intended for educational and review purposes. Use it to develop your understanding of Smart Money Concepts by analyzing what institutional order flow looked like during historical periods. Combine insights with your own analysis methodology for best results.
Penunjuk Pine Script®
oleh PhenLabs
1
IDAHL | QuantEdgeBIDAHL | QuantEdgeB 🔍 Overview The IDAHL indicator builds adaptive, volatility-aware threshold bands from two separate ALMA lines—one smoothed from recent highs, the other from recent lows—then uses percentiles of those lines to define a dynamic “high/low” channel. Price crossing above or below that channel triggers clear long/short signals, with on-chart candle coloring, fills, optional labels and even a built-in backtest table. ✨ Key Features • 📈 Dual ALMA Bands (with DEMA pre-smoothing) o High ALMA: ALMA applied to DEMA-smoothed highs (high → DEMA(30) → ALMA). o Low ALMA: ALMA applied to DEMA-smoothed lows (low → DEMA(30) → ALMA). • 📊 Percentile Thresholds o Computes a high threshold at the Xth percentile of the High ALMA over a lookback window. o Computes a low threshold at the Yth percentile of the Low ALMA. o Shifts each threshold forward by a small period to reduce repainting. • ⚡ Dynamic Channel Logic o When price closes above the high percentile line, the “final” threshold flips down to the low percentile line (and vice versa), creating an adaptive channel that only moves when the outer bound is violated. o Inside the channel, the threshold holds its last value to avoid whipsaw. • 🎨 Visual & Alerts o Plots the two percentile lines and fills between them with a color that reflects the current regime (green for long, yellow for neutral, orange for short). o Colors your candles to match the active signal. o Optional “Long”/“Short” labels on confirmed flips. o Alert conditions fire on each long/short crossover. • 📊 On-Chart Backtest Metrics o Toggle on a small performance table—complete with win-rate, net P/L, drawdown—from your chosen start date, without any extra code. ⚙️ How It Works 1. Adaptive Smoothing (ALMA) o Uses ALMA (Arnaud Legoux Moving Average) for smooth, low-lag filtering. In this script, the inputs are additionally pre-smoothed with DEMA(30) to reduce noise before ALMA is applied—improving stability on highs/lows. 2. Percentile Lines o The High ALMA series feeds a linear-interpolation percentile function to generate the upper bound; the Low ALMA produces the lower bound. o These lines are offset by a small look-ahead (X bars) to reduce repaint behavior. 3. Channel Logic o Breakout Flip: When the selected source (default: Close) closes above the upper bound, the active threshold “jumps” to the lower bound—locking in a new channel until price next crosses. o Breakdown Flip: Conversely, a close below the lower bound flips the threshold to the upper bound. 4. Signal Generation o Long while the source is above the current “final” threshold. o Short while below. o Neutral inside the channel before any flip. 5. Visualization & Alerts o Dynamic fills between the two percentile lines change hue as the regime flips. o Candles adopt the regime color. o Optional pinned “Long”/“Short” labels at flip bars. o Alerts on every signal crossover of the zero-based regime line. 6. Backtest Table o From your chosen start date, a mini-table displays cumulative P/L, win rate and drawdown for this strategy—handy for quick in-chart validation. 🎯 Who Should Use It • Breakout Traders hunting for adaptive channels that auto-recenter on new highs/lows. • Volatility Traders who want thresholds that expand and contract with market turbulence. • Trend-Chasers seeking a fresh take on high/low channels with built-in smoothing. • Systematic Analysts who appreciate on-chart backtesting without leaving TradingView. ⚙️ Default Settings • ALMA Length: 14 • Percentile Length: 35 bars • Percentile Lookback Period (offset): 4 bars • Upper Percentile: 92% • Lower Percentile: 50% • Threshold Source: Close • Visuals: Candle coloring on, labels off by default, “Strategy” palette • Backtest Table: on by default (toggleable) • Start Date (Backtest): 09 Oct 2017 📌 Conclusion IDAHL blends two smooth, low-lag ALMA filters (fed by DEMA-smoothed highs/lows) with percentile-based channel construction for a self-rewiring high/low envelope. It gives you robust breakout/breakdown signals, immediate visual context via colored fills and candles, optional labels, alerts, and even performance stats—everything you need to spot and confirm regime shifts in one compact script. 🔹 Disclaimer : Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading. 🔹 Strategic Advice : Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Penunjuk Pine Script®
oleh QuantEdgeB
Gold Smart Scalper V3 - Clean ChartOverview The Gold Smart Scalper V3 is a trend-following momentum strategy specifically optimized for XAU/USD (Gold). It focuses on catching "value pullbacks" within a strong trend, avoiding the noise of sideways markets. Unlike many scalpers that use lagging indicators for exits, this version uses fixed ATR-based targets to lock in profits during high-volatility moves common in Gold. Core Methodology The strategy operates on three layers of confirmation: Macro Trend (HTF Filter): Uses a 50-period EMA to ensure trades are only taken in the direction of the higher-timeframe momentum. The Value Zone: Instead of "chasing" green or red candles, the script waits for a pullback to the space between the 9 EMA and 21 EMA. This ensures a better risk-to-reward entry point. The Trigger: A trade is only executed when price confirms the resumption of the trend by crossing back over the signal EMA after the pullback. Key Features Fixed Profit Targets: Replaced dynamic trailing stops with fixed Take Profit (TP) and Stop Loss (SL) levels based on ATR, ensuring exits aren't "hunted" by Gold's signature volatility spikes. C lean Chart Interface : All moving average plots are hidden. The only visuals provided are the active TP/SL levels when a trade is live, keeping your workspace clutter-free. Single-Trade Logic: The script includes a "One Trade Per Cross" gate, preventing the strategy from over-trading or "stacking" positions during choppy price action. Settings & OptimizationATR Multipliers : Stop Loss (SL): Default $2.0 \times ATR$. Protects against standard market noise.Take Profit (TP): Default $3.0 \times ATR$. Designed for a high Risk/Reward profile.Timeframe Recommendation: Optimized for 15m and 1H for swing scalping, or 5m for aggressive scalping.Instrument: Specifically tuned for Gold (XAU/USD), but applicable to other high-volatility pairs like GBP/JPY or NASDAQ. Disclaimer This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Always practice proper risk management.
Strategi Pine Script®
oleh techtrader_ravi
Body Close Continuity & failure Backtesting @MaxMaseratiThis indicator, is a highly advanced institutional-grade tool designed to track the "lifespan" of a trend based on Body Close (BC) sequences. Unlike basic indicators that just show direction, this script analyzes the structural integrity of a trend by monitoring how many candles continue the move before a "Touch" (retest) or a "Break" (failure) occurs. The Continuity & Failure Stats indicator tracks sequences of Bullish Body Closes (BuBC) and Bearish Body Closes (BeBC). It measures three critical phases: Building (pure momentum), Touching (price retesting the low/high of the sequence), and Resumption (price continuing the trend after a retest). It provides a statistical distribution of how long these "buildings" typically last before failing, allowing traders to know exactly when a trend is overextended. This comprehensive analysis blends the statistical breakdown of the Continuity & Failure Stats indicator to provide a deep understanding of the structural momentum for the S&P 500 E-mini (ES1!) on a 4-hour timeframe. 1. Extensive Table Breakdown A. Building Distribution (Left Table): The Fatigue Gauge This table acts as a histogram of momentum, tracking the "Building Count"—the number of consecutive candles closing in a trend without price returning to its origin. Count Column: Represents the streak length (e.g., 1, 2, or 3 candles). Touch Column: Shows how many times a streak was interrupted by a retest ("touch") but remained structurally intact. Break Column: Counts total structural failures where price closed beyond the sequence's anchor. Data Insight: For BuBC, 92 sequences reached Count 1, but only 28 remained by Count 4. This reveals a steep momentum decay after the 3rd candle, establishing a "Statistical Wall" where only 2 sequences in history reached a count of 9. B. MMM Summary Stats (Top Right): The Mathematical DNA This table provides the "Expected Value" and behavior of a trend over the lookback period. Avg Building (2.39 for BuBC): On average, a bullish move lasts ~2.4 candles of pure momentum before a retest or reversal occurs. Avg Touches (0.8): This low number indicates "clean" trends that rarely wobble back to retest levels multiple times before reaching a conclusion. Avg R Cycles (0.55): This suggests that once a bullish trend is interrupted, it only successfully resumes its momentum about half the time. Max R Count (1): Typically, once a trend is "touched," it only manages one more push before failing. C. Multi-Timeframe (MTF) Quick Stats (Bottom Right): Trend Weight This compares the 4H chart against other layers of the market to identify "global" alignment. Sample Comparison: There are 3,594 tracked BuBC sequences on the 4H compared to only 142 on the Weekly chart. Fractal Law: The Avg Building (2.4) is consistent across several timeframes, implying that the "Rule of Three" (momentum fading after 3 candles) is a fractal characteristic of this asset. 2. Table Comparison: Synthesizing the Data To trade effectively, you must compare Distribution (timing) against Summary Stats (averages): Continuity vs. Failure: The Summary Stats show an average building of 2.39. When checking the Distribution table at Count 2, the "Break" count (58) is already high relative to the "Total". This confirms that the risk of failure increases exponentially the moment you exceed the average. Momentum vs. Mean Reversion: Distribution tells you when a trend is "tired". If the 4H is at a "Building Count 4" (statistically overextended) while the Weekly chart is at "Building Count 1" (fresh momentum), you may choose to prioritize the higher timeframe's strength despite the local overextension. 3. Strategic Summary & Application This indicator proves that market momentum follows a predictable "Building" cycle rather than an infinite streak. The "Rule of Three" for ES1! 4H: The Entry Zone (Momentum Start): The most profitable entries occur at Building Count 1. Statistically, you have a high probability of reaching a count of 2 or 3. The Exit Zone (Momentum Limit): Take profits or tighten stops at Count 3. The data shows the sample size drops by nearly 50% between Count 3 and Count 4. The "Touch" Rule (Retest Reliability): If price returns to the sequence low (a "Touch"), do not expect a massive continuation. The Max R Count of 1 tells us that resumptions are usually short-lived. Danger Zone: Entering at Building Count 4 or higher is statistically dangerous, as the "Break" probability significantly outweighs the "Touch" or continuation probability.
Penunjuk Pine Script®
oleh MaxMaserati
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