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Micro NQ/ES Algo by Chartsking.com📊 Micro NQ/ES Algo by ChartsKing.com - Professional Futures Trading System Micro NQ/ES Algo is a sophisticated trend-following indicator specifically designed for Micro and Mini futures traders (NQ, ES, Gold) seeking consistent edge through advanced risk management and intelligent market structure analysis. 🎯 CORE FEATURES Smart Entry System - Proprietary multi-factor trend detection algorithm - Optional confluence filters for enhanced accuracy - Multi-timeframe compatibility - works on 1min to 1hr charts - Dynamic signal generation with instant reversal capability Advanced Risk Management - Volatility-adaptive stop loss system - 3-tier profit-taking: Level1, Level2, and Trailing Stop - Customizable R-multiple targets - Partial exit capability for position scaling - Automatic breakeven protection Professional Dashboard - Real-time P&L tracking (points and dollar values) - Live performance metrics: Win Rate, Total Trades, Net P&L - Target status: Level1/Level2/Trail with realized profits - Market condition alerts: Volume, Volatility, Trend Strength - Global session indicators (Asia, London, NY) with DST awareness - Comprehensive analytics including Max Drawdown Intelligent Market Context - Advanced contextual market intelligence system - Post-trade analysis explaining outcomes - Session-based insights and liquidity detection - Real-time regime recognition - Educational tooltips throughout Universal Webhook Integration - Full automation support for TradersPost, 3Commas, and custom bots - Dynamic alerts for entries, exits, and partial fills - Works with ANY symbol automatically - Professional JSON formatting - Complete automation compatibility Enhanced Visuals - Color-coded candle system showing trade states - Dynamic SL/TP lines with price tracking - Live performance tagline with market intelligence - Clean price labels for key levels - Customizable display options 💡 IDEAL FOR - Micro Futures Traders: Optimized for MNQ, MES with small accounts - Scalpers & Day Traders: Effective on intraday timeframes - Swing Traders: Works on higher timeframes for position trades - Algorithmic Traders: Full webhook support for automated execution 📈 RECOMMENDED ASSETS - Micro NQ (MNQ) - Micro ES (MES) - Nasdaq 100 (NQ) - S&P 500 (ES) - Gold Futures (GC, XAUUSD) ⚙️ CUSTOMIZABLE SETTINGS Sensitivity Filter: Control signal frequency and confirmation level Stop Loss System: Adjust risk parameters based on your trading style Profit Targets: Customize R-multiple levels for your strategy Partial Exits: Configure position scaling percentages Visual Options: Personalize chart display and alerts 🎨 VISUAL ENHANCEMENTS - Professional color-coded candles - Dynamic support/resistance levels - Real-time trade status indicators - Customizable label system - Clean, professional interface 🔔 ALERT & AUTOMATION SETUP 1. Enable webhook alerts in settings 2. Configure TradingView alert with "Any alert() function call" 3. Set frequency to "Once Per Bar Close" 4. Connect your automation platform 5. System handles all trade management automatically ⚠️ PERFORMANCE & RISK DISCLOSURE Simulated Results: - Dashboard P&L calculations are theoretical and do not include trading costs - Real-world slippage and commissions typically reduce profits by 10-15% - Results shown are based on historical data and backtesting - Past performance does not guarantee future results Risk Warning: - Trading futures involves substantial risk of loss - This indicator is a tool for analysis, not a guarantee of profits - Trend-following systems experience drawdown periods (30-40% win rate typical) - Proper position sizing and risk management are essential - Only trade with capital you can afford to lose Educational Tool: - Always paper trade any new system before risking real capital - Understand the strategy logic before deploying live - Market conditions change - past performance may not reflect future results - Professional risk management is your responsibility 📚 TRADING PHILOSOPHY Built on professional trend-following principles: - Risk small amounts for large potential gains - Let winners run with intelligent trailing - Accept small losses as part of the edge - Scale positions at logical levels - Adapt to changing market conditions 🌐 SUPPORT & RESOURCES Visit www.chartsking.com for: - Setup guides and tutorials - Strategy optimization tips - Automation examples - Community support 🏆 WHY MICRO NQ/ES ALGO? Complete Trading System - Not Just Signals ✅ Full trade management from entry to exit ✅ Professional-grade dashboard and analytics ✅ Intelligent market context and education ✅ Complete automation capability ✅ Advanced risk management built-in Perfect for serious traders who want a comprehensive solution. ⚠️ DISCLAIMER Trading futures involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. This indicator is a tool for analysis and must be combined with proper risk management and trading knowledge. Developed by ChartsKing.com | Professional Trading Tools
Penunjuk Pine Script®
oleh ChartsKing_Official
FST Active Zone [QS] - Multi-Timezone 0DTE Volatility HeatmapDescription: This indicator is designed for high-frequency "Vibe Coders" and 0DTE traders who need to visualize market regimes at a glance. Built by the team at QuantSignals Inc., it helps you identify the "High-Alpha" window (09:30 - 11:30 ET) while maintaining awareness of the 24-hour global volatility cycle. What this solves: Visual Overload: Replaces messy lines with a clean "Market State" background. Session Awareness: Automatically highlights the peak liquidity hours where FST (Full Self Trading) bots are most active. 0DTE Focus: Specifically calibrated for the intraday swings common in SPX/NDX options trading. How to use: The bright green zone marks the "Active Session." When price interacts with these zones during the 10 AM reversal window, it often signals the day's primary trend. About QuantSignals: We build autonomous trading systems and productivity tools for the modern quant. ⚡ Join 4,300+ quant traders in our Discord. 🧠 Get the weekly Alpha Report on Substack. 🚀 Explore the FST Beta at QuantSignals.xyz. (Note: Links are available in my TradingView profile signature below.)
Penunjuk Pine Script®
oleh quantsignals
Big Bite + Lock Profit Strategy Name: Big Bite + Lock Profit (Trend-Following with Dynamic Risk Management) 1. Core Concept This strategy is a robust Trend-Following system designed to capture significant market moves while minimizing equity volatility. It combines long-term trend filters with volatility-based trailing stops and a partial profit-taking mechanism to ensure capital preservation. 2. Technical Indicators Trend Filter: 200-period Exponential Moving Average (EMA 200). Entry/Trailing Stop: Supertrend Indicator (default: 10-period, 3.0 Multiplier). Volatility Measure: Average True Range (ATR) used for calculating the dynamic trailing stops. 3. Entry Logic (Long/Short) Long Entry: Price must be trading above the EMA 200 AND the Supertrend flips from Bearish to Bullish. Short Entry: Price must be trading below the EMA 200 AND the Supertrend flips from Bullish to Bearish. Purpose: This ensures we only trade in the direction of the dominant macro-trend, significantly reducing "Whipsaw" losses during market consolidations. 4. Exit & Trade Management (The "Lock Profit" Mechanic) Partial Take Profit (Locked Gains): Once the trade reaches a pre-defined target (e.g., 2% gain or a 1.5 R:R), 50% of the position is closed. This effectively "locks in" profit and moves the trade to a "risk-free" state. Full Exit (Trend End): The remaining 50% of the position is held until the Supertrend signals a reversal (trend change). This allows the strategy to "let the winners run" and capture the "Big Bite" of major trends. 5. Strategy Strengths (Backtest Performance Insights) High Sortino Ratio: The strategy demonstrates a high Sortino Ratio (approx. 5.47), indicating superior risk-adjusted returns with very low downside volatility. Healthy Holding Period: Unlike "scalping" bots, this strategy has an average holding period of 40+ bars, making it highly resilient to slippage and high commission costs in live trading environments. Asymmetric Reward-to-Risk: With an average win of ~1.28% vs. an average loss of ~0.41%, the strategy maintains a healthy 1:3 Reward-to-Risk ratio, ensuring long-term profitability even with a moderate win rate.
Strategi Pine Script®
oleh tai239
UT BOT Alet 2026📊 1. INDICATOR OVERVIEW ──────────────────────── This indicator is built based on repetitive candlestick behavior and candle body volatility. The system automatically detects: Unusual candle movements Common reversal patterns Weakening or strengthening buying/selling pressure It then generates BUY / SELL signals across 7 strength levels (1★ – 7★). 🎯 Objective: To provide traders with clear, visual, and easy-to-use entry signals. ⭐ 2. INITIAL SETTINGS ──────────────────────── 👉 In the Inputs section, adjust the signal colors to clearly identify confirmation stages: 🔵 Buy Color • Default: Blue • Recommended: Change to Orange (or any color different from Blue) 🔴 Sell Color • Default: Red • Recommended: Change to Pink (or any color different from Red) Changing the colors helps you distinguish between the initial signal and the confirmed signal. 🎯 3. ENTRY RULES ──────────────────────── ⚠ Only enter trades after the candle has fully closed to avoid noise. 📌 BUY Execute a Buy when: The BUY signal changes from Blue → Orange (or your selected confirmation color) OR The signal upgrades to Super BUY or Super BUY Pro 📌 SELL Execute a Sell when: The SELL signal changes from Red → Pink OR The signal upgrades to Super SELL or Super SELL Pro 👉 The second color or “Super” status indicates that the signal has been confirmed and locked. ⭐ 4. SIGNAL STRENGTH LEVELS (1★ – 7★) ──────────────────────── All signals from 1★ to 7★ can be traded immediately after candle close. General guidance: ⭐ 1★: Early signal – suitable for light entry ⭐⭐ 2★ – 3★: Moderate strength ⭐⭐⭐⭐ 4★ – 5★: Strong signal ⭐⭐⭐⭐⭐⭐ 6★ – 7★: Very strong signal Beginners are advised to prioritize 1★ (small position) or 6★ – 7★ (higher probability setups) to reduce risk. 📈 5. TRADING RECOMMENDATIONS ──────────────────────── • Avoid trading in tight sideways markets • Avoid entries during major news events • Prioritize signals aligned with the main trend • Always use Stop Loss • Do not FOMO if price has moved too far from entry ⚠ 6. RISK DISCLAIMER ──────────────────────── No indicator is 100% accurate. The market always carries risk. Users are responsible for: • Proper risk management • Forward testing signals • Understanding how the system works before trading The author is not responsible for individual trading results. 📌 This indicator is currently provided free of charge until further notice. 📩 7. SUPPORT & ACCESS REQUEST ──────────────────────── Telegram: t.me Email: haphuctungqb2021@gmail.com © This indicator is the intellectual property of the author. Please do not copy or redistribute without permission.
Penunjuk Pine Script®
oleh PeMyXinhVip
1
Hemera Regime Switch PROHemera Regime Switch PRO is a Market Regime Detector designed to help traders avoid the #1 mistake: using the wrong strategy in the wrong market condition. This script does not produce random buy/sell spam. Instead, it classifies the market into clear regimes and provides a clean dashboard to guide decision-making. ✅ What it does (Market Regime Detection) This indicator identifies the current market environment using: Trend structure (EMA bias + slope) Trend strength (ADX) Volatility compression/expansion (Bollinger Band Width%) Normalized volatility state (ATR%) Confidence scoring (0–100) It classifies price action into 4 regimes: SQUEEZE (volatility compression / consolidation) EXPANSION (volatility breakout / momentum phase) TREND (directional continuation environment) RANGE (mean-reversion / choppy market) 🟨 Automatic Squeeze Box + Breakout Levels When SQUEEZE is detected, the indicator automatically draws a Squeeze Box (range boundaries): Upper boundary = potential bullish breakout trigger Lower boundary = potential bearish breakout trigger This helps traders define structure and avoid overtrading inside consolidation. ⚡ Breakout + Retest Signals (higher probability) To reduce fake breakouts, the script supports: Breakout alerts (confirmed candle close outside the box) Retest alerts (price revisits the boundary and holds) Retest confirmations are typically more reliable than chasing the first breakout candle. 📊 Dashboard Panel (clean & readable) The top-right dashboard displays: REGIME (Squeeze / Expansion / Trend / Range) BIAS (Bull/Bear based on EMA) PLAYBOOK (what strategy fits the regime) ADX & EMA Slope% BB Width% ATR% & VOL state CONFIDENCE % 🎯 How to use (simple rules) 1) REGIME = SQUEEZE Wait for breakout. Use the Squeeze Box boundaries as reference. Best entries often come from Breakout + Retest. 2) REGIME = TREND / EXPANSION Prioritize trend-following. Bias helps you stay aligned with direction. 3) REGIME = RANGE Expect more mean-reversion behavior. Avoid trend-chasing inside ranges. 🔔 Alerts (TradingView compatible) Available alert conditions include: Squeeze Breakout Up / Down Breakout Retest Up / Down Regime Changes (Squeeze/Expansion/Trend/Range) These alerts can be forwarded to Telegram via webhook/bot solutions. ⚠️ Disclaimer This indicator is an educational market-structure tool and does not guarantee profits. Always use risk management and confirm entries with your own trading plan. If you like this script, please leave a 👍 and add to favorites — it helps a lot.
Penunjuk Pine Script®
oleh Hemerafinans
Advanced Fractal Structure Analyzer Pro# 🚀 Advanced Fractal Structure Analyzer Pro ## 📈 **Multi-Time Frame Market Structure Analysis Tool** ### 🔍 **ANAHTAR KELİMELER:** fractal, structure analysis, market structure, MTF, multi timeframe, pivot points, BoS, Break of Structure, ChoCh, Change of Character, smart money, institutional trading, price action, support resistance, trend analysis, trading signals, algo trading, technical analysis, forex, crypto, stocks, futures ### 🎯 **KISA AÇIKLAMA:** Advanced Fractal Structure Analyzer Pro is a professional multi-timeframe market structure analysis tool that identifies fractal pivot points, structural breaks, and manipulation patterns. Perfect for forex, crypto, and stock traders who want institutional-level analysis. ### 📋 **ÖZELLİKLER:** • Dual Time Frame Analysis (Current + Higher TF) • Smart Fractal Pivot Detection • Break of Structure (BoS) & Change of Character (ChoCh) Signals • Manipulation Pattern Detection (Stop-hunting) • Real-time Status Table with Color Coding • 8 Different Alert Types • Professional Risk Management Tools • Customizable Visual Settings ### ⚙️ **TEKNİK DETAYLAR:** • Works on all timeframes (1m to Monthly) • Compatible with all markets (Forex, Crypto, Stocks, Futures) • Real-time processing with minimal lag • Historical data backtesting support • Mobile and desktop compatible ### 🔔 **ALARM SİSTEMİ:** - MTF External Breakout Alerts - MTF Internal Structure Signals - MZ External Breakout Alerts - MZ Internal Structure Signals - Candle Direction Changes - Manipulation Detection Alerts - Immediate Table Updates ### 🎨 **GÖRSELLER:** • Color-coded pivot points (Red/Green for High/Low) • Horizontal support/resistance lines • Dynamic trend lines • Professional status table • Customizable colors and styles ### 💡 **KULLANIM ALANLARI:** - Swing Trading (identifying major structure breaks) - Day Trading (intraday structure analysis) - Institutional Analysis (professional-grade tools) - Educational Purposes (learning market structure) - Risk Management (identifying manipulation) ### 🌟 **NEDEN BU ARAÇ?** ✅ Saves time on manual analysis ✅ Increases trading accuracy with multi-TF confirmation ✅ Prevents costly mistakes with manipulation detection ✅ Professional-grade analysis at affordable price ✅ Complete package: Analysis + Signals + Risk Management ### 📱 **UYUMLULUK:** - TradingView Platform - All Chart Types - All Markets (Forex, Crypto, Stocks, Commodities) - All Devices (Mobile, Tablet, Desktop) ### 🔧 **KOLAY KURULUM:** 1. Add indicator to chart 2. Select your MTF timeframe 3. Customize alerts 4. Start trading with professional signals ### 📊 **PERFORMANCE:** • 98% Uptime • <100ms Processing Time • 99.9% Fractal Detection Accuracy • Unlimited Historical Backtesting ### ⚠️ **DİKKAT:** This tool is for educational and informational purposes only. Trading involves risk of loss. Past performance does not guarantee future results. ### 📞 **DESTEK:** 24/7 Email Support | Regular Webinars | Community Forum | Tutorial Videos --- **🔍 ARAMA KELİMELERİ:** fractal indicator, market structure analysis, multi timeframe indicator, BoS ChoCh indicator, smart money concepts, price action trading, institutional trading tools, forex analysis, crypto analysis, stock market analysis, trading signals, technical analysis tools, pivot point indicator, support resistance indicator, trend analysis tool, algo trading indicator, tradingview best indicators, professional trading tools, advanced technical analysis, real-time trading signals, pattern recognition, manipulation detection, stop hunt indicator, market manipulation detector, trading alerts, automated analysis, trading bot companion **🌍 DİLLER:** English, Turkish, Multi-language Support **🔄 GÜNCELLEMELER:** Regular updates based on user feedback and market developments **⭐ DEĞERLENDİRME:** Please rate and review if you find this tool helpful!
Penunjuk Pine Script®
oleh meximamexima
Infinite Alpha Trade Engine v4.0The Infinite Alpha Trade Engine is a high-performance, modular execution framework designed for traders who demand institutional-grade precision. An indicator that detects and shows fully user customisable trade setups with retracement entry, stop loss and take profit levels labelled on the chart. While at the same time the Trade Setup Assistant and Manager (T-SAM) provides live back-testing results for any and all tweaks made to the Infinite Alpha Trade Engine models and virtually unlimited variants of trade setups and outcomes on the chart in real-time. Unlike standard buy/sell indicators, this engine utilizes advanced state-machine logic to track the entire lifecycle of a trade: from HTF IPDA data retrieval and original consolidation to smart money reversals (SMR) and algorithmic profit-taking. In development for over 6 months and utilising the latest Pine Script V6 framework capabilities, Infinite Alpha is optimized for speed using single-pass garbage collection and complex User-Defined Types (UDTs), ensuring your chart stays responsive even while tracking 1,000+ historical setups. ************************************************************************************ Core Trading Models (The Infinite Suite) This engine integrates the most sought-after institutional models into a single toggle-ready interface with the selected model displaying its own respective trade setup labels, T-SAM statistics and results as well as the option to show previous setup labels on the chart: MMXM (Market Maker Models): Full lifecycle tracking of Phase 1 (Consolidation), Phase 2 (Manipulation/Judas Swing), and Phase 3 (Distribution). The MP: An algorithmic Hunt-to-Execute model that tracks liquidity sweeps (BSL/SSL) followed by internal/external structure breaks. Institutional Displacement: Detects aggressive price movement that shifts market sentiment. Dynamic Fair Value Gaps (FVG/iFVG): Features Shrinking Box technology—boxes visually reduce in real-time as they are mitigated, and automatically flip to Inversion FVGs when breached. Coming Soon: Order Blocks and Breaker Blocks: Precision structural zones for high-probability entries. ************************************************************************************ Extensive Feature Deep-Dive 1. Professional Execution and Management Logarithmic Scaling Mode: Toggle log math for distance and PnL calculations—essential for long-term crypto or high-volatility stock trading. The Money Management Central: Customize your risk per trade with Dollar-Based TP Capping and Max Drawdown Filters. If a setup doesn't meet your USD profit-to-risk ratio, the engine won't trigger it. Advanced Partial Profit Matrix: Set up to 3 partial TP levels using Risk Back logic. The engine calculates exactly how much to bank to make the remaining position risk-free. Dynamic Trailing Stops: Choose from Standard, Break-Even (B.E.), or Advanced Trail. The Advanced Trail only activates once a specific R-multiple is reached. 2. Institutional Context and Filters IPDA Data Matrix: Automatically fetches rolling 20, 40, 60, and 80-day highs/lows from higher timeframes to provide institutional Bias context. ICT Killzones and Macros: Filter trades by time of day. Only take setups during the London Open, NY AM, or specific 20-minute Macro Windows where liquidity is highest. Trend Alignment: Built-in SMA and Market Structure Shift (MSS/BOS) filters ensure you never trade against the dominant HTF order flow. Wiggle Room Logic: Proprietary SL buffers that account for market noise, preventing stop-hunts on your positions. 3. The Trade Setup Assistant and Management Dashboard (T-SAM) An elite-level statistics module that tracks your performance in real-time: Deep Stats Page: Total Net PnL (USD), Realized RR, Profit Factor, and Win Rate. TP1 Stats Tracking: Tracks exactly how much of your PnL (USD) is due to TP1 hits, tracked using maximum, average and median Net PnL. Fully Customisable Entries, TPs and SLs Per Model: Choose one of many preset values for each, customise your entry based on per model retracement levels or input your own R multiple. Missed Entry and Hypothetical Missed Profit Tracking: Highlights potential for improving trade entry levels by showing PnL from targets being hit without entry being triggered. SL Hit Profit Tracking: Highlights areas to improve profit-taking by tracking the maximum and average/median amounts trades were positive before price reversed against any given position to hit SL. Day/Hour Analysis: Discover your Edge. The engine reveals which day of the week and which specific hour of the day provide your highest win rates. Killzone/Macro Efficiency: See exactly which trading sessions are making you money and which are costing you. Recent Trades Tracker: A live scrolling ticker of your last 22 trades with individual ID tracking (Base-26 Alpha IDs). ************************************************************************************ How Traders Could Use Infinite Alpha: The Scalper: Uses the MP on the 1m timeframe, filtered by the NY AM Killzone, with B.E. Trailing Stops to capture rapid liquidity runs. The Swing Trader: Enables MMXM on 1H charts, requiring a 60-Day HTF IPDA Array Hit before the engine is allowed to signal a Smart Money Reversal. The Risk Manager: Uses the Dollar Filter to ensure every trade has a minimum 1,000 dollar profit potential and never exceeds a 500 dollar initial drawdown, regardless of the chart pattern. The Analyst: Uses the T-SAM Hour Analysis to realize they have a 70 percent win rate at 10:00 AM EST and a 20 percent win rate during Lunch—allowing them to stop overtrading. ************************************************************************************ Technical Specifications Version: Pine Script V6 Execution: Non-Repainting (signals trigger on bar close) Optimization: High-speed UDT arrays and single-pass cleaning. Alerts: Fully customizable Webhook-ready alerts for Potential Setups, Entry Hits, and Trailing Stop Updates. "The Infinite Alpha Trading Engine is not just an indicator; it is your new back-testing partner and live setup assistant." *****Infinite Alpha Trading Engine is not a trading bot and does not have the ability to place orders or trade.***** ************************************************************************************ Infinite Alpha: Technical Manual and User Guide Welcome to the Infinite Alpha Trade Engine. This guide will help you navigate the advanced settings and logic of the world's most customizable MMXM and IPDA execution framework. 1. Quick Start: Your First Setup Select Your Model: Go to Indicator Setup and choose your primary logic (e.g., MMXM for curve trading or MP for liquidity runs). Define Your Risk: Set your Contract Size and Point Value to match your broker (e.g., for NQ futures, Point Value = 20). Choose a Timeframe: For intraday trading, the 1m, 5m, or 15m timeframes are recommended. Activate the H.U.D.: Ensure Show Dashboard is enabled to see your live performance data via the T-SAM. 2. Key Settings Deep-Dive Institutional Setup (IPDA and Context) HTF Timeframe: Sets the source for the 20/40/60/80-day lookbacks. Require HTF IPDA Array Hit: If enabled, the MMXM model will ignore reversals unless they happen at institutional Premium or Discount levels. Scan Filter Mode: Choose Date Range to backtest a specific window (e.g., Jan 2025) or Lookback Period to only process the most recent data for maximum chart speed. The MP Logic MP Structure Target: Choose Internal Range (IRL) for quick scalps at minor swing points, or External Range (ERL) for major structure breaks. MP Entry Fib: Defaulted to 0.618. This is the retracement level required after a liquidity sweep before the engine triggers an entry. MMXM Consolidation Engine ADR Threshold: The engine calculates the Average Daily Range. Consolidation is only valid if price stays within a specific percent of that ADR (prevents fake consolidations during high volatility). Min Consolidation Duration: How long (in minutes) price must range before the engine marks Phase 1 of the Market Maker Model. 3. Advanced Money Management The Dollar Filter System Traders often take good looking setups that have poor monetary value. Infinite Alpha solves this: Min Profit Filter (dollars): Will automatically hide setups that don't have the mathematical potential to reach your dollar goal. Max DD Filter (dollars): If the required Stop Loss (based on market structure) represents a dollar risk higher than this setting, the trade is discarded. Partial Profit and Risk Back Logic Partial Size Method (Risk Back): This is a professional favorite. The engine calculates exactly how much to bank to position to close at TP1 so that even if the remaining 50 percent hits your Stop Loss, the trade still results in 0 dollars (Break Even) or a small profit. 4. T=SAM Navigation The T-SAM is split into specialized pages to help you refine your edge: Overview: The Quick Look at Win Rate and Net USD. Day/Hour Analysis: Shows you exactly when you are most profitable. Tip: Many traders find they have a negative PnL during Lunch and use this data to stop trading that hour. Killzones and Macros: Tracks your performance within specific ICT time windows. Recent Trades: Provides a Base-26 ID (e.g., Trade ABZ) for every setup so you can find them easily on the chart for manual review. 5. Troubleshooting and Optimization Performance: If the chart feels laggy, reduce Max Trades to Track to 250 and Max Trades to Draw to 10. No Trades Showing: Check your Killzone Filters. If it is 11:00 PM EST and you only have London Open enabled, the engine will not show potential setups until the London window opens. Log Scale: If your chart is set to Logarithmic in TradingView, ensure Log Scale Mode is ON in the script settings for accurate PnL calculations. 6. Alert Integration Infinite Alpha supports dynamic alerts. Use the following placeholders in your alert message to send data to webhooks or Telegram: direction: Long/Short price: The entry or exit price event: Potential, Entry Hit, or SL Update id: The Base-26 Trade ID ************************************************************************************ TradingView Compliance Disclaimer Risk Disclosure and Educational Purpose The Infinite Alpha Trade Engine and the Trade Setup Assistant and Manager (T-SAM) are sophisticated analytical tools developed for educational and research purposes only. None of the information provided within this script—including but not limited to trade setup labels, hypothetical profit/loss figures, and performance statistics—constitutes financial, investment, or trading advice. Hypothetical Performance Notice: The performance results displayed on the T-SAM dashboard are hypothetical and simulated. Unlike an actual performance record, simulated results do not represent actual trading. Because the trades have not actually been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, such as lack of liquidity or broker slippage. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. No Execution Capability: As stated, this script is not a trading bot. It is a decision-support tool. It does not have the technical capability to execute trades, interact with your brokerage account, or manage actual financial capital. All trading decisions are made solely by the user. Market Risk: Trading in financial markets involves substantial risk of loss and is not suitable for every investor. You should carefully consider your investment goals and risk appetite before trading. Past performance is never indicative of future results. By using this script, you acknowledge that you understand these risks and agree that the creator (Reggie_W) holds no liability for any financial losses incurred through the use of this tool.
Penunjuk Pine Script®
oleh Reggie_W
1
SJ Stoch MFT 3 📊 Stoch MTF 3 TF Direction Only This indicator is a Multi-Timeframe Stochastic (MTF) designed to identify trade direction by analyzing the Stochastic direction across 3 different timeframes simultaneously. It focuses only on direction, not overbought/oversold levels, making it ideal as a trend filter to reduce false signals and improve trade accuracy. ⸻ 🔧 How It Works For each selected timeframe, the indicator calculates the Stochastic oscillator and determines its direction: • 🔼 Bullish → %K is above %D • 🔽 Bearish → %K is below %D A signal is generated only when all 3 timeframes agree on the same direction. ⸻ ⏱ Configurable Timeframes • TF1: Default M1 • TF2: Default M5 • TF3: Default M15 All timeframes are fully customizable to fit any trading style. ⸻ 🎯 Signals on Chart • 🟢 BUY Signal Triggered when Stochastic direction is bullish on all 3 timeframes. • 🔴 SELL Signal Triggered when Stochastic direction is bearish on all 3 timeframes. Signals are displayed as small circles below the candles, keeping the chart clean and readable. ⸻ 🔔 Alerts Built-in TradingView alerts are included: • BUY signal alert • SELL signal alert Suitable for: • Manual trading • Automation / Webhook alerts • EA or trading bot integration ⸻ 📌 Best Use Cases • Scalping and Intraday trading • Traders who rely on Stochastic • Multi-timeframe trend confirmation • Directional filter for any trading strategy ⸻ ⚠️ Disclaimer This indicator is not a standalone trading system. For best results, combine it with proper risk management, price action, or support/resistance analysis.
Penunjuk Pine Script®
oleh samranj
Wickless Candle StrategyWickless Fill Tracker + Fibs + AVWAPs "Dull entries miss the mark. Hollow points always expand." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT IT DOES This indicator detects wickless and near-wickless candles — candles where price closed at or near the high/low with no rejection wick. These "shaved" candles leave behind unfilled price levels that act as magnets for future price action. The market has a statistical tendency to revisit and fill these levels, making them high-probability targets for entries, exits, and risk management. The indicator tracks these levels in real time, tells you which ones have been filled and which are still open, and gives you deep multi-timeframe intelligence on fill rates and speed — all in one tool. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE FEATURES 🔫 Wickless Candle Detection Identifies marubozu (no wick on either side) and shaved candles (no wick top OR bottom). Chart markers distinguish between full marubozu (◆) and single-side shaved (▲▼). 📊 Wick Intelligence Table The signature feature. A comprehensive real-time table showing upside targets (unfilled wicks above price) and downside targets (unfilled wicks below price), sorted by distance. Each wick displays price level, distance %, open date, fill status, fill date, bars to fill, and age. Dynamic rows only show wicks that exist — no wasted space. Summary stats per side include total wicks, open count, filled count, and average fill time. 📈 Multi-Timeframe Fill Intelligence Fill statistics across 1H, 2H, 4H, Daily, Weekly, and Monthly timeframes. Shows total wicks detected, fill rate with letter grade (A+ through D), unfilled counts above and below price, average bars to fill, and grand totals across all timeframes. ⏱ Historical Fill Speed Analysis Deep lookback analysis breaking down fill behavior separately for upside vs downside wicks across 5M, 15M, 30M, 1H, 4H, and Daily. Shows how many wicks were created vs filled and average bars to fill for each direction. The directional bias column tells you whether upside or downside wicks historically fill faster on each timeframe, with a weighted overall market bias. 🎯 Unfilled Zone Drawing Draws shaded zones on the chart for unfilled wick levels with dashed price lines extending to the current bar. Labels show zone type (SHVD TOP/BOT), direction (BUL/BER), price, and fill status. Optional filled zone display (dimmed). 📐 Auto Fibonacci Zones Automatic swing high/low detection with color-gradient zones from 0 to 1.0 (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1). Price labels at each fib level. ⚓ Anchored VWAPs AVWAP from most recent pivot high (resistance bias) and AVWAP from most recent pivot low (support bias). 📉 Moving Averages 5 SMA (close) for scalp momentum, 20 SMA (close) for short-term trend, 55 SMA (ohlc4) for institutional flow, and 200 SMA (close) for macro trend filter. MA status row shows price position relative to each MA. 🏠 Main Dashboard 8-timeframe overview (30M through 3M plus current) showing total wickless candles, bull/bear split with percentages, marubozu count, shaved top/bottom counts, fill rate tracker, and unfilled zones above vs below price. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE IT For entries: Look for unfilled wick levels near current price as targets. If price is approaching an unfilled shaved top from below, that's a magnet. Confluence with fib levels and AVWAPs strengthens the setup. For exits: If you're long and there's an unfilled upside wick above, that's a natural profit target. The fill rate grades tell you how likely it is to get there. For bias: The Historical Fill Speed section reveals whether the market is filling upside or downside wicks faster. If downside wicks fill in 3 bars on average but upside takes 9, the market is showing bullish tendencies — buyers are aggressive. For risk management: Unfilled zones act as support/resistance. Place stops beyond them. The zone drawing makes this visual. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ALERTS 🟢 Bullish Marubozu — full bullish marubozu detected 🔴 Bearish Marubozu — full bearish marubozu detected ⚡ Any Wickless Candle — any wickless/shaved candle detected ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Works on all instruments and timeframes. Best suited for futures (NQ, ES) and high-volume instruments where wick fills are most reliable. All visual elements (MAs, fibs, AVWAPs, zones, tables, logo) are individually toggleable in settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Structure over noise. Precision over prediction.
Penunjuk Pine Script®
oleh Smalldikenergy
1
Blue Chip Strategy V5V5 Long-Term Swing Strategy (4H / Daily Trend) This strategy is designed for traders who want consistent, rules-based swing trades without staring at screens all day. V5 focuses on high-quality long-term setups by combining: -Higher-timeframe trend alignment -Structured pullback entries -Volatility confirmation -ATR-based risk management The goal is simple: participate in institutional trends, not noise. How the strategy works: -Trades are taken on the 4-hour chart -Overall bias is guided by the Daily trend -Entries occur only after controlled pullbacks, not breakouts -Risk is defined at entry using ATR-based stops -Winners are allowed to run, losers are cut quickly This creates fewer trades — but higher quality ones. What this strategy is NOT ❌ Not a scalping system ❌ Not a high-frequency bot ❌ Not news- or hype-driven ❌ Not designed for crypto or penny stocks V5 is built for US large-cap stocks with clean structure and institutional liquidity.
Strategi Pine Script®
oleh gculler_reece
AI Smart Money Profile v4.6 # 🕉️ AI Smart Money Profile v4.6 **by Shiv Shakti Algo Systems** AI Smart Money Profile v4.6 is a **professional all-in-one trading indicator** designed to combine **Smart Money Concepts (SMC)**, **Market Profile**, **ICT concepts**, and **AI-based trend confirmation** into a single, powerful system. This indicator is built for traders who want **structure-based trading**, **high-confluence setups**, and **clear visual guidance** without chart clutter. --- ## 🔥 Key Features ### 📊 Market Profile * Daily / Weekly / Monthly Market Profile * **POC (Point of Control)**, **VAH (Value Area High)**, **VAL (Value Area Low)** * Historical & Live Value Areas * Session bias visualization ### 🎯 Smart Money Concepts (SMC) * **BOS (Break of Structure)** * **ChoCH (Change of Character)** * Liquidity Sweeps (Buy-side & Sell-side) * Equal Highs & Equal Lows detection ### 📦 Volume Order Blocks * Volume-based Bullish & Bearish Order Blocks * Wick / Close mitigation options * Automatic removal of mitigated blocks ### ⚡ Fair Value Gaps (FVG) * Bullish & Bearish FVG detection * Auto-removal after fill or expiry * Adjustable minimum FVG size ### 🎓 ICT Concepts * **OTE (Optimal Trade Entry) Zones** * Structure-aligned premium & discount logic ### 🤖 Smart Trend AI (NEW in v4.6) * Fusion of **UT Bot + Supertrend** * Signals only when **both indicators agree** * Confirmed BUY / SELL labels (non-repainting) * Full candle coloring (body + wick) ### 📈 EMA Trend System * EMA 20 / 50 / 200 * Golden Cross & Death Cross signals * EMA trend direction shown in dashboard ### 💧 Liquidity Zones * Buy-Side Liquidity (BSL) * Sell-Side Liquidity (SSL) * Auto-detection and sweep tracking ### 📊 RSI Momentum * Positive & Negative momentum labels * Trend-aligned RSI filtering ### 🕯️ Candlestick Patterns * Marubozu (Bullish / Bearish) * Engulfing patterns * ATR-based label positioning ### 🎯 6-Point Confluence Signal Engine Signals are generated using: 1. Market Profile position 2. Market Structure (SMC) 3. Order Block presence 4. Fair Value Gap 5. OTE Zone 6. Liquidity Sweep Only **high-probability, multi-confirmation setups** are highlighted. ### 📊 Smart Dashboard * Market Structure bias * Trend direction * Confluence scores * OB, FVG, OTE, Liquidity & AI trend status * Clean and professional UI --- ## 🧠 HOW TO USE (STEP-BY-STEP) ### 1️⃣ Determine Market Bias (Top-Down) * Check **Market Structure (SMC)**: * Bullish = Higher Highs & Higher Lows * Bearish = Lower Highs & Lower Lows * Use **EMA 20 / 50 / 200** alignment: * EMA20 > EMA50 > EMA200 → Bullish bias * EMA20 < EMA50 < EMA200 → Bearish bias * Confirm bias using **Smart Trend AI** (Green = Bullish, Red = Bearish) --- ### 2️⃣ Identify High-Probability Zones Look for price interaction with: * **Value Area (VAH / VAL / POC)** * **Volume Order Blocks** * **Fair Value Gaps (FVG)** * **OTE Zones** * **Liquidity Levels (BSL / SSL)** 👉 Best trades happen when **multiple zones overlap**. --- ### 3️⃣ Wait for Liquidity & Structure Confirmation * Price sweeps **liquidity** (BSL or SSL) * Market prints **BOS or ChoCH** * Confirms direction with bullish or bearish candle This avoids early or emotional entries. --- ### 4️⃣ Confirm with AI & Momentum * **Smart Trend AI** must agree with trade direction * **RSI Momentum**: * Positive = bullish strength * Negative = bearish strength * Avoid trades when AI shows “MIX” or RSI is neutral --- ### 5️⃣ Enter Trade * Use **BUY / SELL labels** only when: * Confluence score ≥ minimum setting * Candle closes with structure confirmation * Entry can be taken: * At candle close, or * On pullback into OB / FVG --- ### 6️⃣ Risk Management (Very Important) * Always use **Stop Loss**: * Below swing low (BUY) * Above swing high (SELL) * Risk only **1–2% per trade** * Targets: * Previous high/low * Liquidity levels * Opposite Value Area --- ## ⚙️ Recommended Settings * Timeframes: **5m, 15m, 30m, 1H** * Works best on: * Indices * Forex * Crypto * Enable **ATR filter** for volatile markets --- ## ⚠️ DISCLAIMER (IMPORTANT) ⚠️ **DISCLAIMER:** This indicator is provided for **educational and informational purposes only**. It does **NOT** constitute financial advice, investment advice, or trading recommendations. Trading in financial markets involves **substantial risk**, and you may lose part or all of your capital. Past performance is **not indicative of future results**. The creator of this indicator is **not responsible for any losses** resulting from the use of this tool. Always: * Apply proper risk management * Test strategies on demo or paper trading * Seek professional financial advice if required **You are solely responsible for your trading decisions.** --- ## 🙏 JAI SHIV SHAKTI 🙏 **Trade Smart. Trade Disciplined.**
Penunjuk Pine Script®
oleh Rajeevsharma5
WaveTrend & RSI Combined (v-final)# RSI Divergence + WaveTrend Combined ## Overview This indicator combines RSI Divergence detection with WaveTrend crosses to generate high-probability trading signals. It filters out noise by only showing divergences when confirmed by WaveTrend momentum crosses in the same direction. ## Key Features ### 1. Smart Divergence Detection - Detects both bullish and bearish RSI divergences - Uses **price pivot validation** to ensure divergences start from significant chart highs/lows, not just RSI extremes - Divergence endpoints must be in the **neutral zone (20-80)** to avoid overbought/oversold traps ### 2. WaveTrend Cross Confirmation - **Golden Cross**: WaveTrend crossover in oversold territory (below -60) - **Dead Cross**: WaveTrend crossover in overbought territory (above +60) - Crosses are displayed at RSI 20 (golden) and RSI 80 (dead) levels for easy visualization ### 3. Combined Signal Logic - **LONG Signal**: Bullish RSI Divergence + Golden Cross within the divergence period - **SHORT Signal**: Bearish RSI Divergence + Dead Cross within the divergence period - Divergences are **only displayed** when a matching cross exists in the same period ### 4. Visual Elements - **Yellow lines**: Divergence connections between master point and current point - **Small diamonds**: Divergence markers (green for bullish, red for bearish) - **Triangles**: Confirmed entry signals (▲ for LONG, ▼ for SHORT) - **Circles**: WaveTrend crosses (green at bottom for golden, red at top for dead) - **Background color**: Highlights signal bars (green for LONG, red for SHORT) - **Debug table**: Shows real-time RSI, divergence count, WaveTrend values, and cross status ## Settings ### RSI Divergence - RSI Length (default: 14) - Overbuy/Oversell levels - Divergence detection parameters (loopback, confirmation, limits) ### WaveTrend - Channel Length (default: 10) - Average Length (default: 21) - Overbought/Oversold levels - Cross Detection Level (default: 60) ### Pivot Detection - Pivot Left/Right Bars (default: 5) - Controls sensitivity for price pivot validation ## How to Use 1. **Wait for signal**: Look for the triangle markers (▲/▼) with background color 2. **Confirm with crosses**: Ensure the corresponding WaveTrend cross (circle) is visible 3. **Check divergence line**: The yellow line should connect meaningful price pivots ## Alerts - Built-in alert conditions for both LONG and SHORT signals - Webhook-ready format for automation (Telegram, Discord, auto-trading bots) ## Best Practices - Works well on higher timeframes (1H, 4H, Daily) - Combine with support/resistance levels for better entries - Use proper risk management - not every signal is a winner ## Credits - RSI Divergence logic inspired by K-zax - WaveTrend calculation based on LazyBear's implementation - Combined and enhanced by sondengs --- *This indicator is for educational purposes only. Always do your own research and manage your risk appropriately.*
Penunjuk Pine Script®
oleh sondengs
Mine Shaft + Drift + Ore Pocket Detector (Gap+Touch)Mine Shaft + Drift + Ore Pocket Detector (Gap+Touch) — Full Description (v1.6.1, Pine v6) *Experimental - *Test Phase* 1) What this indicator is intended to do This indicator attempts to algorithmically discover “mine shaft” price structure on a chart by: Collecting structural anchor points (gaps and optionally pivots), Generating candidate trend “rails” (centerline + parallel upper/lower borders) from pairs of anchors, Fitting an optimal channel width around each candidate centerline, Scoring candidates based on how well price action conforms to the channel (touches + containment), Selecting and rendering: the main shaft channel (primary), additional drifts (secondary shafts per direction), And then detecting Ore Pockets: time locations where multiple selected lines intersect (time confluence / intersection clustering). The conceptual model is: A shaft = a best-fit channel that price respects over time (the “main tunnel”). Drifts = alternate channels close in quality to the main shaft (secondary tunnels). Ore pockets = future/past time coordinates where multiple channels’ centerlines intersect densely (confluence in time, not necessarily in price). 2) What it is doing right now (current behavior) In its current form, the script does a bounded, performance-limited scan: It stores a limited number of anchor points in arrays. It only considers a bounded number of recent anchors per direction. It constructs candidate lines from anchor pairs and evaluates channel fitness using sampled bars. On the last bar, it selects top candidates per direction and draws: a “main” channel per mode (single best overall, or separate up/down), plus optional drift channels, plus ore pocket markers. It is producing meaningful channels and drifts, but it is currently more likely to lock onto a strong “local” shaft than the one macro shaft spanning the entire market structure. 3) Core mechanics (how the script finds shafts) 3.1 Anchor generation (what points it uses) Anchors are the “support points” used to build candidate shaft centerlines. Two anchor families are supported: A) Gap anchors (from your selected gap mode) These attempt to capture “displacement events” and their boundaries/mids. B) Pivot anchors (optional structural anchors) These use pivots to inject macro structure points that are not strictly gap-based. All anchors are stored as: anchorX: bar_index of anchor anchorY: price of anchor anchorD: direction flag (+1 for up, -1 for down) Anchors are capped by maxAnchors with FIFO trimming. 3.2 Candidate generation (how it produces centerlines) For each direction (+1 and -1): Collect “recent” anchors of that direction within lookbackBars (bounded to maxDirAnchors). For each pair of anchors (x1,y1) and (x2,y2) that satisfy: spacing within , slope sign consistent with direction, Construct the line equation: slope m and intercept b Fit a channel width w around that line (via width mode). Score it (touches + inside count minus width penalty). Keep the top K rails (K = driftCount+1 typically). 3.3 Scoring model (what “best” means right now) For a candidate centerline: At sampled bars (stride sampling), compute: channel top = y(x) + w channel bot = y(x) - w Evaluate: Inside: candle range fits within the channel ± tolerance Touches: high near top border, low near bottom border (within tolerance) Score formula: score = insideCount * insideWeight + touchCount * touchWeight - (w / ATR) * widthPenalty So: Higher inside and touch counts increase score Wider channels are penalized (in ATR units) to avoid “cheating” via enormous width 3.4 Width fitting (how the channel thickness is chosen) Width is either: Fit (scan widths): scans widths between a min width and a max deviation cap and selects the best scoring width. Fixed ATR Envelope: uses a fixed width derived from ATR (currently hard-coded to a 2.0 ATR envelope in your present draft). Fixed Max Deviation: width is max observed deviation from line in sampled window. This matters because “macro shaft” detection is strongly influenced by whether the width-fitting is allowed to expand enough to contain large historical moves, without being penalized into losing to a smaller local shaft. 3.5 Rendering (what gets drawn) For any selected rail, it draws: Upper border line (top rail) Lower border line (bottom rail) Optional centerline (main only) Optional fill between borders (main only) Label at current bar with touches and inside count Drifts render similarly but without main-only features (depending on flags). 3.6 Ore Pocket detection (time confluence) Ore pockets are not “price zones” directly. They are computed as follows: Collect selected centerlines (m,b) for: the main selected shaft(s), and all drift centerlines (both directions if present) For each pair of selected lines, compute intersection x-coordinate: x* = (b2 - b1) / (m1 - m2) Only keep intersections within: Cluster intersections by time proximity (clusterBars) Mark the strongest clusters (highest counts) as “Ore Pocket” vertical dotted lines with labels. Interpretation: A dense cluster indicates many selected rails converge around a similar time coordinate. It is a “time confluence” hypothesis point. 4) Full settings reference (what each setting is for) 01) Gap Anchors Gap Mode FVG (3-candle) Uses a classic 3-candle fair value gap pattern: Up gap if low > high Down gap if high < low Anchors are derived from the gap boundaries. Candle Gap (open-close) Gap based on open vs close of the same bar with a tick threshold. Candle Gap (open-prev close) Gap based on open vs close with a tick threshold. Gap Threshold (ticks) Only used for the candle gap modes. Controls the minimum gap size required to register an anchor. Anchor Price Boundary: anchors at one gap boundary (more “structural edge”) Mid: anchors at midpoint of the gap (more “center of displacement”) Include Pivot Anchors (structure) When enabled, adds pivots as additional anchors to stabilize macro detection. Pivot Length Pivot sensitivity (how many bars left/right define a pivot). Larger values = fewer, more structural pivots. 02) Channel Fit + Touch Scoring Lookback Bars The historical window used to: filter which anchors are considered “recent enough” evaluate channel fitness (sampled evaluation) Larger lookback tends to favor macro shafts, but also increases computational risk (mitigated by evalBars and stride). ATR Length ATR period used for tolerance and width penalty scaling. Tolerance (ATR mult) Defines how close price must be to a rail to count as “touch” and how strict the “inside channel” containment is. Higher tolerance = easier to score high on touch/inside. Min Border Touches (keep rail) Minimum number of border touches required before a candidate is even eligible. Score: Inside Weight Weight of inside count in score. Score: Border Touch Weight Weight of border touches in score. This is a strong driver of “shaft-like” behavior. Score: Width Penalty (in ATRs) Penalizes wide channels relative to ATR. Higher penalty biases toward narrow/local shafts. 03) Performance Controls Max Stored Anchors (global) Maximum anchor points kept in memory arrays. Too low can cause loss of macro structure; too high increases candidate noise. Max Anchors / Direction (scan) Hard cap on how many anchors are used in candidate generation per direction. Critical: this strongly influences whether macro shaft can be found, because if you only keep the most recent anchors, you lose the early-structure anchor points. Eval Bars (max) Maximum historical bars actually evaluated for scoring. Even if lookbackBars is large, evaluation is capped here. Eval Stride (sample every N bars) Sampling step for evaluation. Larger stride = faster but less accurate scoring. 04) Candidate Generation Min Anchor Spacing (bars) Minimum distance between the two anchors used to define a candidate line. Prevents micro-noise lines from being evaluated. Max Anchor Spacing (bars) Maximum distance between the two anchors used to define a candidate line. If this is too low, you cannot generate truly macro candidate lines. 05) Shaft + Drift Display Main Shaft Mode Best Overall (Single Shaft): chooses one best rail among Up/Down and draws it as main. Up Only: show only the best upward rail. Down Only: show only the best downward rail. Up + Down: show both main up rail and main down rail simultaneously. Show Ascending Shaft Toggles rendering for the “up” main shaft (when mode allows it). Show Descending Shaft Toggles rendering for the “down” main shaft (when mode allows it). Drifts per Direction Number of additional top-ranked rails to draw per direction (after the best one). Extend Lines Right: extend lines to the right only. Both: extend both left and right. Fill Main Shaft Channel Fill between upper and lower borders for main shaft. Main Shaft Fill Transparency Transparency level for main fill. Show Main Shaft Centerline Draw the dashed centerline for the main shaft. 06) Ore Pocket (Intersection-Time Confluence) Show Ore Pockets (Time Confluence) Enables ore pocket discovery and rendering. Intersection Window Forward (bars) How far into the future intersections are considered. Intersection Window Backward (bars) How far into the past intersections are considered. Cluster Radius (bars) How close in time intersections must be to merge into a cluster. Min Intersections per Cluster Minimum cluster count required before a pocket is shown. Max Pocket Markers Limit how many pocket clusters are drawn. 07) Visual Controls Show Gap Anchors Displays the gap anchor dots for debugging. Show Pivot Anchors Displays pivot anchor dots for debugging. 5) How to use it (practical workflow) Step A — Confirm anchor behavior Turn on Show Gap Anchors. Choose your Gap Mode. Verify you are seeing anchors where you expect (displacement boundaries). If anchors are sparse: Reduce gap threshold (ticks) for candle-gap modes Enable pivots to inject structure Increase lookbackBars and maxAnchors so early anchors are not dropped Step B — Get stable main shaft candidate discovery Enable Include Pivot Anchors with a medium pivotLen. Use Fit (scan widths) initially. Increase Max Anchors / Direction (scan) so you’re not only using recent anchors. Increase Max Anchor Spacing so macro pairs are eligible. If you keep getting only local shafts: That is usually because the candidate pool does not include enough old anchors, or the maxSpacing prevents long-span lines. Step C — Tune scoring so the “whole-structure” shaft wins If the script picks a small local channel instead of the macro channel: Increase insideWeight relative to touchWeight (macro channels tend to contain longer structure even with fewer perfect “touches”) Reduce widthPenalty, because macro channels may need to be wider to accommodate historical volatility Increase lookbackBars and evalBars to make “whole-structure fit” matter Step D — Drifts as secondary shafts Once main shaft is good: Increase Drifts per Direction Validate that drifts represent meaningful alternate sub-shafts rather than noisy duplicates. If drifts look too similar: This is expected if many candidates differ only slightly; future refinements should diversify drift selection (see “what still needs done”). Step E — Ore pockets interpretation Ore pockets indicate time confluence of multiple rails. Use them as: “Time windows to watch” Not as deterministic price levels Tune: clusterBars (cluster tightness) minClusterSize (signal strength) 6) What still needs done (explicit backlog) The macro “main mining shaft channel” spanning the entire market structure, and Smaller shafts/drifts nested inside the macro structure. To accomplish that, the current algorithm needs additional architecture. Concretely: A) True multi-scale / hierarchical discovery (primary missing feature) Right now: one pass, one lookback, one score objective. Still Needed: Macro pass: discover a primary shaft using a very long evaluation window and anchor set. Micro pass(es): discover drifts/secondary shafts using: residuals (distance from macro centerline), or segmented time windows (regime partitions), or anchor subsets constrained to local regions. This is the single biggest reason we are not consistently getting the full-structure shaft. B) Anchor retention strategy for macro detection Right now: anchors are FIFO capped and direction scanning uses “recent anchors only.” To reliably find 10-year shafts we need: an option to store/retain representative anchors across the entire history, not only the most recent ones. Examples of necessary improvements: “Stratified anchor sampling” across time (keep some old anchors even when maxAnchors is hit) “Macro anchor bank” (separate storage for pivots or major gaps) C) Candidate generation constraints must support macro lines If we want a shaft spanning the whole structure: maxSpacing must allow it the candidate pool must contain anchors far apart in time So the algorithm needs: better selection of anchor pairs for long-span candidates (e.g., include earliest/oldest anchors + newest anchors deliberately, not accidentally) D) Drift diversification Right now drifts are “next best by score,” which often yields near-duplicates. We want: “diverse” secondary shafts: enforce minimum angular difference, enforce minimum offset difference, or penalize candidates too similar to the already-selected shaft. E) Width fitting logic for macro channels Macro channels often require: either a higher width cap, or a different penalty profile. Current width penalty is simple and can bias against macro channels. Needed: width penalty that scales by timescale or by total evaluated bars, or separate macro/micro scoring. F) Ore pocket semantics enhancement (optional but aligned) Currently pockets are time intersections only. If you want “pocket zones,” improvements could include: projecting intersection price and drawing a zone box, clustering in (time, price) space instead of only time, adding “importance” weighting based on which lines intersect (macro line intersections weighted higher). 7) Known limitations (current version) Heavy compute only runs on last bar (good for performance), but means: changes in anchors/parameters can reselect rails abruptly Candidate set is bounded; macro shaft can be missed if not in pool Drift selection can be redundant Ore pockets are time clusters, not price clusters
Penunjuk Pine Script®
oleh Eyemaginative
1
ETH Multi-Strategy Hybrid SystemETH Multi-Strategy Hybrid System This strategy is a multi-strategy composite trading system designed for the ETH perpetual futures market.
It integrates trend-based and range-based trading logic under a unified execution and risk management framework, aiming to present the overall structure and performance characteristics of a systematic trading approach. The public version is provided for backtesting display and structural illustration only.
Core execution details and parameter optimization logic are not disclosed. 📌 System Structure The system consists of three independent strategy modules and strictly follows the principle of holding only a single directional position at any given time: Strategy A: Trend-Following Long Module • Designed for medium- to long-term bullish trends • Confirms trend validity through multiple layers of conditions • Employs volatility-driven stop-loss mechanisms and multi-stage profit-taking • Aims to capture trend continuation while controlling drawdowns Strategy B: Trend-Following Short Module • Designed for bearish trends or accelerated downside phases • Combines trend confirmation with momentum filtering to avoid false rebounds • Utilizes fixed risk control combined with dynamic exit mechanisms, including trailing exits and profit retracement protection • Focuses on fast-moving and sentiment-driven downside volatility Strategy C: Range-Based Long Module • Activated only in non-trending, low trend-strength market conditions • Applies mean-reversion logic based on price range and volatility structure • Automatically exits or becomes inactive when trend strength increases • Serves as a supplementary module during non-trending market phases ⚙️ Risk Management & Execution Principles • The system prohibits holding positions in multiple directions simultaneously • Position allocation follows a predefined and fixed structure • All risk control is based on market volatility characteristics; no averaging down, pyramiding, or martingale logic is used • Execution is fully rule-based with no discretionary intervention 🔍 Public Version Notes • This script is intended solely for backtesting observation and structural reference • Parameters are fixed and simplified and do not represent the full live-trading version • Live trading results may differ from backtests due to fees, slippage, and latency • Not recommended for direct live trading use 🔗 OKX Signal Strategy Follow Link The live signal execution version of this system has been deployed on the OKX Signal Trading platform for reference and optional follow trading: 👉 OKX Signal Trading
www.okx.com Please fully understand the strategy’s positioning, risk characteristics, and your own risk tolerance before following. ⚠️ Risk Disclaimer This strategy does not guarantee profits.
Historical backtest results do not represent future performance.
Please carefully assess suitability and risks before use.
Strategi Pine Script®
oleh Anfu_Quantitative
Trend Targets Oscillator- Webhooks v1.8.3Trend Targets Oscillator - Webhooks v1.8.3 Overview This technical indicator combines a momentum-based oscillator with statistical analysis of historical price behavior to generate trading signals and calculate position management levels. The indicator analyzes past price patterns to establish data-driven thresholds for entries, exits, and stop placement. Key Components: • Weighted momentum oscillator with trend-following characteristics • Statistical percentile analysis for take profit level calculation • Dynamic stop loss placement based on price structure and volatility • Adaptive ranges (ATR-based) for dynamic support/resistance visualization • Real-time performance tracking and historical signal analysis Critical Disclaimer: This indicator performs technical analysis on historical data. Past patterns, statistics, and performance do not predict, indicate, or guarantee future results. All trading carries substantial risk of loss. This tool does not provide investment advice or trading recommendations. Important Note: Calculations use standard OHLC data; results may differ on non-standard chart types (Heikin Ashi, Renko, Kagi, Point & Figure, Range). Technical Methodology 1. Momentum Oscillator Core Approach: The oscillator employs a weighted Relative Strength Index (RSI) methodology combined with Quantitative Qualitative Estimation (QQE) trailing stop concepts. This creates a momentum indicator that adapts to trending conditions while maintaining sensitivity to reversals. How It Functions: • Calculates directional price momentum using weighted price changes • Applies directional bias to amplify movements aligned with the prevailing trend direction • Uses a dynamic trailing stop mechanism adapted from QQE methodology to identify potential trend reversals • Applies exponential moving average smoothing to reduce market noise • Operates within configurable overbought/oversold threshold zones (default: 70/30) Signal Generation Process: • BUY signals occur when the oscillator line crosses above its trailing stop level • SELL signals occur when the oscillator line crosses below its trailing stop level • All signals confirm only at bar close, eliminating mid-bar fluctuations and repainting Technical Parameters (All Configurable): • RSI Length (default: 100 bars) - Controls the period for momentum calculation • Stop Multiplier (default: 2.5) - Adjusts the sensitivity of the trailing stop mechanism • Smoothing Length (default: 6 bars) - Reduces noise through exponential smoothing • Directional Weight (default: 6.4) - Amplifies trend-aligned price movements • Overbought/Oversold Levels (default: 70/30) - Defines momentum extreme zones What This Component Does: This component identifies potential trend changes through momentum analysis, generates entry signals based on the interaction between an oscillator and a trailing stop, filters those signals using overbought and oversold zones, and confirms all signals at bar close to help prevent repainting. What This Component Does Not Do: This component does not predict future price direction or guarantee signal accuracy or profitability, it cannot eliminate false signals entirely, and it will not perform equally well across all market conditions. 2. Statistical Take Profit Calculation Methodology: Rather than using fixed risk-reward ratios, this indicator analyzes the Maximum Favorable Excursion (MFE) from historical signals to establish statistically-derived take profit levels using percentile (quantile) analysis. Maximum Favorable Excursion (MFE) Concept: MFE measures how far price moved in the favorable direction after each historical signal before either reversing or hitting the stop loss. This creates a dataset of historical "best case" price movements for each direction. Statistical Process: • Maintains separate historical datasets for LONG signals and SHORT signals (markets behave differently in uptrends vs downtrends) • Tracks MFE data from the last N signals (configurable, default: 20 signals per direction) • Calculates percentiles (quantiles) from this historical MFE dataset • Uses these percentiles to determine take profit distance from entry Three Statistical Thresholds: TP1: • Default: 66th percentile of historical MFE data • Meaning: Based on historical analysis, approximately 66% of similar past signals moved at least this far in the favorable direction • Note: This is a statistical observation of past behavior, not a prediction that 66% of future signals will reach this level TP2: • Default: 50th percentile (median) of historical MFE data • Meaning: Represents the middle point of historical favorable price movements • Note: Past median values do not indicate future median performance TP3: • Default: 30th percentile of historical MFE data • Meaning: Based on historical analysis, approximately 30% of similar past signals moved at least this far Important Technical Notes: • Percentile thresholds are fully configurable in settings (you can adjust 66/50/30 to any values) • Requires minimum historical data (20+ signals per direction) for statistical relevance • Falls back to configurable risk-reward ratio (default 1.5R) when insufficient historical data exists • Recalculates dynamically as new signals complete and add to the historical dataset • "R" represents Risk units (distance from entry to stop loss) What This Component Does: This component analyzes historical price behavior patterns and calculates statistical percentiles from past favorable movements to establish take-profit levels based on observed historical data. It adapts to the specific instrument and timeframe being analyzed, and it separates its analysis for long versus short signals. What This Component Does Not Do: This component does not predict where future price will reach or guarantee any specific hit rate or success percentage, and it cannot ensure profits on any individual trade. It also does not account for changing market conditions or regime shifts, and it does not replace the need for proper risk management and position sizing. 3. Dynamic Stop Loss Placement Methodology: Stop loss calculation combines Donchian Channel logic with Average True Range (ATR) volatility adjustment to create stops that respect recent price structure while accounting for normal market fluctuations. How It Functions: Donchian Channel Component: • Identifies the highest high and lowest low over a specified lookback period (default: 20 bars) • For LONG signals: Uses the lowest low as the base for stop placement • For SHORT signals: Uses the highest high as the base for stop placement • This respects recent price structure and support/resistance levels ATR Volatility Buffer: • Calculates the Average True Range over 14 periods to measure current volatility • Adds a configurable buffer (default: 1.0 × ATR) beyond the Donchian extreme • For LONG signals: Stop = Donchian Low - (ATR × Buffer Multiplier) • For SHORT signals: Stop = Donchian High + (ATR × Buffer Multiplier) • This prevents premature stop-outs from normal price volatility Technical Parameters (All Configurable): • Donchian Length (default: 20 bars) - Period for identifying recent price extremes • SL Buffer Multiplier (default: 1.0 × ATR) - Distance beyond Donchian extreme (0.0 to 5.0) What This Component Does: This component places stops based on recent price structure using Donchian extremes, adjusts them to reflect current volatility via an ATR-based offset, and adapts dynamically as conditions change. It includes a configurable buffer to suit different trading styles and is designed to respect key technical support and resistance levels. What This Component Does Not Do: This component does not guarantee that a stop loss will not be hit, nor can it prevent slippage, gaps, or other execution-related risks. It does not ensure a favorable risk-reward outcome on every trade, does not account for fundamental events or news releases, and it does not replace the need for proper position sizing and overall capital management. 4. Adaptive Ranges (ATR-Based) Methodology: The indicator includes an optional overlay that displays adaptive support and resistance zones based on Average True Range (ATR) volatility measurements. These ranges adjust dynamically as price moves beyond volatility thresholds. How It Functions: • Calculates an adaptive moving average that shifts when price moves beyond ATR-based thresholds • Displays five levels: Upper Resistance 2 (R2), Upper Resistance 1 (R1), Middle (AVG), Lower Support 1 (S1), Lower Support 2 (S2) • Zones are created using ATR multiples above and below the adaptive average • When price breaches the outer boundaries significantly, the entire range structure recalculates and repositions Technical Parameters (All Configurable): • Length (default: 50 bars) - Period for ATR calculation • Factor (default: 6.0) - Multiplier for ATR to set zone width • Source (default: close) - Price data used for calculations • Show (default: ON) - Toggle visibility Purpose and Use: • Provides context for potential reversal or consolidation areas • Can complement the statistical TP levels by showing additional resistance/support • Helps visualize market volatility expansion and contraction • Creates dynamic zones that adapt to changing volatility conditions What This Component Does: This component displays volatility-adjusted support and resistance zones, adapt dynamically to price movement and changing volatility, providing visual context for potential reversal areas. The segments update when price moves beyond defined threshold boundaries. What This Component Does Not Do: This component does not predict future support or resistance levels, does not guarantee that reversals will occur at zone boundaries, or replace traditional support and resistance analysis. It also does not account for fundamental catalysts or news-driven events that can override technical behavior. Visual Components and Displays Oscillator Panel (Lower Pane) The oscillator displays in a separate pane below the price chart with the following elements: • Main Oscillator Line (teal/green): Shows current momentum state • Trailing Stop Line (purple): Dynamic support/resistance level that triggers signals • Overbought/Oversold Zones: Horizontal threshold lines (default 70/30) • Historical Signal Markers: BUY (green triangles up) and SELL (red triangles down) where signals occurred Reading the Display: - When oscillator crosses above trailing stop = BUY signal generated - When oscillator crosses below trailing stop = SELL signal generated - Oscillator in upper zone (>70) = momentum in overbought territory - Oscillator in lower zone (<30) = momentum in oversold territory On-Chart Overlays (Price Chart) For each historical signal, the indicator displays visual overlays on the main price chart: Entry Line (Yellow): - Horizontal line showing the price level where the signal was generated - Helps identify the actual entry point Stop Loss Line (Red): - Horizontal line showing the calculated stop loss level - Based on Donchian + ATR methodology described above Three Take Profit Zones (Green for LONG / Red for SHORT): - TP1 Zone: Lightest shade - conservative percentile target - TP2 Zone: Medium shade - moderate percentile target - TP3 Zone: Darkest shade - aggressive percentile target - Zones displayed as shaded rectangular areas extending forward from signal Visual historical overlays: This provides visual feedback on historical signal performance and helps assess whether the statistical methodology is appropriate for the current instrument and timeframe. These visual overlays allow you to see: These visual overlays allow you to see where historical signals occurred and at what price, where stops were placed according to the methodology, and where statistical take-profit levels were calculated. They also show which targets were reached versus not reached, how price behaved relative to the statistical projections, and the adaptive support/resistance context that frames overall market structure. Statistics Table (Real-Time Analysis) The indicator displays a comprehensive statistics table (typically in the upper-right corner) showing performance metrics for historical signals. Table Header: "Historical stats (not predictive) under current settings" Performance Metrics (Separate rows for BUY and SELL): For the Last N Signals (default: last 20 BUY and last 20 SELL separately): Column Headers: • Signal: Direction (BUY or SELL) • Win: Count of signals where at least one take profit was reached before stop loss • Loss: Count of signals where stop loss was hit before any take profit was reached • TP1 Hit: Percentage of signals that reached the first take profit level • Δ1%: Average percentage distance from entry to TP1, calculated only for signals that actually reached TP1 • TP2 Hit: Percentage of signals that reached the second take profit level • Δ2%: Average percentage distance from entry to TP2, calculated only for signals that actually reached TP2 • TP3 Hit: Percentage of signals that reached the third take profit level • Δ3%: Average percentage distance from entry to TP3, calculated only for signals that actually reached TP3 Understanding the Distance Metrics: The "Dist%" columns show the average percentage gain (from entry price to TP level) for only those trades that successfully reached that specific TP level. This helps you understand the typical profit magnitude when that target is hit. Footer Message (Historical Performance Evaluation): The table displays one of three messages based on historical loss percentage: ✅ "Historical performance threshold met. Based on past data under current settings. Not a recommendation." - Displayed when both LONG and SHORT directions show less than 40% losses on past historical data on this specific instrument and timeframe - indicates the loss-rate is below the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only). 🛑 "Historical performance below threshold. Based on past data under current settings. Not a recommendation." - Displayed when both LONG and SHORT directions show more than 40% losses on past historical data on this specific instrument and timeframe - indicates the loss-rate is above the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only). ⚠️ "Historical performance: Mixed / higher risk. Based on past data under current settings. Not a recommendation." - Displayed when one direction is <40% loss and one is >40% loss on past historical data on this specific instrument and timeframe - indicates a mixed result: one direction is above and the other is below the threshold over the last N historical observations (descriptive only). These statistics and messages are descriptive of past historical performance for the specific instrument and timeframe being analyzed, and they are provided purely as informational tools to help you understand how the indicator behaved historically. They are based solely on historical data analysis and can change over time as new signals complete and the underlying dataset updates. These statistics and messages are not predictions of future performance, trading recommendations or advice, or guarantees of profitability. They do not indicate that past results will repeat, and they should not be interpreted as suggestions to enter trades or to avoid them. The footer message helps you understand whether the current settings and statistical thresholds have shown historically favorable or unfavorable results on this particular market. However, past favorable statistics do not ensure future favorable results, and past unfavorable statistics do not ensure future unfavorable results. Configuration Options All parameters are fully adjustable in the indicator settings. Default values are provided as starting points and may require optimization for different instruments and timeframes. Oscillator Parameters • RSI Length (default: 100) Controls the period used for momentum calculation. Higher values = smoother, slower momentum readings. Lower values = more responsive, potentially noisier readings. • Stop Multiplier / QQE Factor (default: 2.5) Controls sensitivity of the trailing stop mechanism. Higher values = wider trailing stop, fewer signals, more trend-following. Lower values = tighter trailing stop, more signals, more sensitive to reversals. • Smoothing Length (default: 6) EMA smoothing applied to reduce noise. Higher values = smoother oscillator line. Lower values = more responsive to price changes. • Directional Weight (default: 6.4) Amplification factor for trend-aligned movements. Higher values = stronger bias toward current trend direction. Lower values = more balanced, less trend-biased. • Source (default: close) Price data used for calculations (close, open, high, low, hl2, hlc3, ohlc4). Threshold Parameters • Overbought Level (default: 70) Oscillator level considered overbought. Range: 0-100. Used for signal filtering and visual reference. • Oversold Level (default: 30) Oscillator level considered oversold. Range: 0-100. Used for signal filtering and visual reference. Statistical Analysis Parameters (Historical Percentile Targets) • Lookback N Trades (default: 20) Number of historical signals to include in statistical analysis. Analyzed separately for LONG and SHORT. Higher values = more stable statistics, slower adaptation. Lower values = more adaptive, potentially less stable statistics. Minimum: 5 signals. • TP1 Target Percentile (default: 66) Percentile of historical MFE data used for first take profit. Range: 1-99. 66 means ~66% of historical signals reached at least this distance. Higher percentile = more conservative target (closer to entry). Lower percentile = more aggressive target (farther from entry). • TP2 Target Percentile (default: 50) Percentile of historical MFE data used for second take profit. 50 = median of historical favorable movements. Adjust based on desired risk-reward profile. • TP3 Target Percentile (default: 30) Percentile of historical MFE data used for third take profit. 30 means ~30% of historical signals reached at least this distance. More aggressive, historically reached less frequently. • Fallback TP (default: 1.50 R) Risk-reward ratio used when insufficient historical data exists. "R" = Risk units (distance from entry to stop loss). 1.50 R = take profit placed at 1.5× the distance to stop loss. Used until enough signals accumulate for statistical calculation. Note on Percentile Configuration: You can customize these percentiles to match your trading style: - Conservative approach: Use higher percentiles (e.g., 80/60/40) for closer, more frequently reached targets - Aggressive approach: Use lower percentiles (e.g., 50/30/15) for extended targets with lower historical hit rates - Balanced approach: Default values (66/50/30) provide middle ground Stop Loss Parameters • Donchian Length (default: 20) Lookback period for identifying recent price extremes. Higher values = stops based on longer-term structure. Lower values = stops based on shorter-term swings. • SL Buffer (× ATR) (default: 1.00) Multiplier for ATR-based volatility buffer. Range: 0.0-5.0. 1.0 = stop placed one ATR beyond Donchian extreme. Higher values = wider stops, less risk of premature stop-out. Lower values = tighter stops, higher risk of normal volatility hitting stop. Adaptive Ranges (ATR-Based) Parameters • Length (default: 50) Period for ATR calculation used in adaptive range zones. Higher values = zones based on longer-term volatility. Lower values = zones more responsive to recent volatility changes. • Factor (default: 6.0) Multiplier applied to ATR for determining zone width. Higher values = wider zones, farther from average. Lower values = tighter zones, closer to average. • Source (default: close) Price data used for adaptive average calculation. • Show (default: ON) Toggle visibility of adaptive range overlays on chart. Turn OFF for cleaner chart if you only want oscillator signals. Visual Display Parameters • Show Historical B/S Markers (Pane) (default: ON): Displays BUY/SELL triangles in oscillator panel. • Show B/S on Price Chart (default: ON): Displays BUY/SELL markers on main price chart. • Show History TP/SL Overlays (default: ON): Displays entry lines, stop lines, and TP zones on price chart. Turn OFF for cleaner chart if you only want the oscillator signals. • History Segment Length (Bars) (default: 20): How many bars forward the TP/SL overlays extend from signal. Range: 5-200 bars. Does not affect calculations, only visual display duration. Initial Setup and Learning Period 1. Adding Indicator to Chart The indicator can be applied to any instrument and timeframe. Default settings are provided as a starting point. 2. Data Collection Period The statistical analysis requires historical signals to function. Typically 20+ bars provide initial data, while 50-100+ bars may produce more robust statistics. The table displays "Not enough data yet to evaluate" until sufficient signals exist. 3. Observing Initial Performance Signals develop over time. The calculated TP levels appear relative to actual price movement. Historical statistics show which direction (LONG vs SHORT) has performed differently. The statistics table displays historical behavior patterns. 4. Statistical Data Accumulation The indicator accumulates historical data over time. Some traders choose to observe performance in paper trading or demo environments before live use. Understanding the methodology involves reviewing how calculations work on historical data. Webhook Integration and Alerts The indicator includes alert functionality for integration with automated trading systems and notification services. Alert Characteristics: • Alerts trigger only when signals confirm at bar close (no mid-bar alerts) • Respects the historical performance evaluation footer status • Includes symbol, timeframe, and direction information in alert message • Provides JSON-formatted data for easy parsing by automated systems • Separate alert events for: Entry, TP1, TP2, TP3, Stop Loss, Early Close (Win/Loss) Alert Events Available: - Entry: When a new signal is generated - TP1/TP2/TP3: When each take profit level is reached - SL: When stop loss is hit - Early Close Win: When position closes early in profit (without hitting TP or SL) - Early Close Loss: When position closes early at a loss (without hitting TP or SL) JSON Data Structure: Each alert contains structured data including: • Event type (Entry, TP1, TP2, TP3, SL, etc.) • Direction (long/short) • Symbol and timeframe • Price levels (entry, stop, take profits) • Timestamps (entry time, event time) • Duration (milliseconds and minutes from entry to event) Compatible With: • Third-party webhook automation platforms and tools that support TradingView webhooks • Custom trading bot implementations via webhook endpoints • Notification systems that can receive TradingView alerts • Any service supporting webhook integration through TradingView's alert system The author and indicator provider assume no responsibility for losses incurred through automated trading, alert-based systems, webhook implementations, or any third-party integrations. Users are solely responsible for their trading decisions, automation setup, risk management, and system monitoring. What This Indicator Is and Is Not What This Indicator Is: This indicator is a technical analysis tool that combines momentum oscillation with statistical analysis, using a signal-generation methodology built on weighted RSI and QQE concepts. It calculates take-profit levels through historical percentile analysis, places stop losses based on both price structure and volatility, and displays adaptive support/resistance zones derived from ATR. In addition, it tracks and presents historical signal performance and serves as an educational resource for understanding statistical approaches to trading. For accurate results, it requires standard OHLC chart data. What This Indicator Is Not: This indicator is not a prediction system or “fortune-telling” tool, nor is it a guaranteed profit generator or a “holy grail” trading system. It does not provide investment advice or financial recommendations, and it is not a substitute for proper education and solid risk management. It may not be suitable for every trader, market, chart type, or market condition, and it is not a replacement for human judgment and decision-making. It also cannot eliminate the possibility of losses, drawdowns, or periods of underperformance, and it is not designed for or tested on non-standard chart types—so results may differ when used outside standard charts. Who This Indicator Is Designed For May Be Suitable For: This indicator may be suitable for traders who prefer systematic, rules-based approaches and want to incorporate statistical analysis into their trading, especially if they’re looking for a methodology that adapts to historical price behavior. It’s best for users who are comfortable with technical analysis concepts, can manage risk and position sizing properly, and are willing to invest time in testing and optimization. It also fits those who understand that past results don’t guarantee future performance and who use standard OHLC charts for their analysis. May Not Be Suitable For: This indicator may not be suitable for absolute beginners with no trading experience, or for traders looking for guaranteed profits and “get rich quick” systems. It’s also not ideal for those who are uncomfortable with technical analysis or statistical concepts, who cannot tolerate losses or drawdown periods, or who are unwilling to spend time learning, testing, and refining the methodology. Additionally, it may not fit users seeking a fully automated “set and forget” solution, traders who don’t follow proper risk management principles, or those who primarily work with non-standard chart types. Important Limitations and Considerations Technical Limitations: This indicator has several technical limitations: it requires sufficient historical data for its statistical calculations to work properly, and its performance can vary significantly across different instruments and timeframes. It may perform poorly in ranging, choppy, or low-liquidity markets, and the statistical percentiles it uses are derived from past data that may not reflect future behavior. Depending on market conditions, signals can cluster or become sparse, and no technical system performs equally well across all regimes. Results may also differ on non-standard chart types (such as Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts), and while the adaptive ranges adjust to volatility, they cannot predict regime changes. Market Limitations: This indicator has market-related limitations because it cannot account for fundamental events, news, or black swan scenarios, and it does not incorporate market sentiment, positioning, or order flow. Historical statistical patterns can break down during regime shifts, and as market structure evolves, past behaviors may not persist. External drivers such as geopolitical developments or policy changes are also outside its scope, and risks from gaps as well as weekend or overnight moves are not explicitly factored into its calculations. Execution Limitations: This indicator has execution limitations because it does not account for slippage, spread, or execution delays, and it cannot guarantee fills at the calculated levels. It also does not explicitly factor in gap risk or overnight holding risk, and it assumes there is sufficient liquidity to execute orders as intended. In addition, it cannot account for exchange outages or other technical failures, and webhook or alert delivery can fail due to connectivity problems or third-party system issues. User Limitations: This indicator also has user-related limitations: it requires the discipline to follow signals consistently rather than overriding them emotionally, along with proper position sizing and risk management. Users need the psychological resilience to handle losing streaks and the time to monitor performance and evaluate results on an ongoing basis, especially if using alerts or automation. It also assumes sufficient capital and emotional reserves to withstand drawdowns, as well as a clear understanding of the constraints of standard OHLC charts. Risk Warnings and Disclaimers Please Read This Section Carefully General Trading Risks: Trading and investing involve substantial risk of loss, and you can lose some or even all of your invested capital. Past performance does not indicate, predict, or guarantee future results, and no trading system, indicator, or methodology can eliminate risk. Markets are inherently unpredictable and uncertain, so outcomes can vary widely even when using a consistent approach. Specific Risks Related to This Indicator: Its historical statistics and percentile calculations are inherently backward-looking, not forward-looking, and past favorable results do not ensure future favorable results. Market conditions can change, historical patterns may stop working or fail to repeat, and statistical analysis cannot predict future price movements. As a result, the indicator can generate losing signals and experience unprofitable periods, with no guarantee of any particular win rate, profit level, or overall performance. Metrics such as “Dist%” reflect historical averages and should not be interpreted as future profit guarantees, while adaptive ranges reflect historical volatility behavior not future support or resistance. Results may also differ significantly when used on non-standard chart types. What This Indicator Does Not Guarantee: This indicator does not guarantee profitable trades or positive returns, any specific win percentage, success rate, or profit distance, or protection from losses and drawdowns. It also cannot guarantee that historical statistics will persist into the future, that it will be suitable for your specific financial situation, or that it will match your risk tolerance or trading goals. In addition, it does not guarantee reliable operation when used with automated trading systems, nor does it guarantee consistent results across different chart types. Regulatory Disclaimer: This indicator is a technical analysis tool for educational and informational purposes only. It does not constitute: Investment advice or recommendations, Financial planning or wealth management services, A solicitation to buy or sell any securities or instruments, A guarantee or warranty of any kind regarding performance, Professional advice tailored to your specific situation Legal Liability: By using this indicator, users acknowledge and agree that they are solely responsible for all trading decisions and outcomes, and that the author and indicator provider assume no liability for any losses or damages. Users confirm that they have read and understood all stated risks and disclaimers, agree not to hold the author or provider responsible for any results, and recognize that trading can result in the total loss of capital. They also understand the limitations related to chart types and the indicator’s calculation methods, which may affect how results are produced and interpreted. Geographic Restrictions: This indicator may not be suitable or legal in all jurisdictions. It is your responsibility to ensure compliance with local laws and regulations regarding trading and financial markets. Final Statement This indicator represents a systematic approach to technical analysis that combines momentum oscillation with statistical analysis of historical price behavior and adaptive volatility-based ranges. It is designed to provide a structured framework for visualizing historical market conditions and statistical behavior under the selected settings. Access and Support Information This is an invite-only indicator. For access requests, detailed documentation, setup guides, and ongoing support, please refer to the author's signature field displayed below this publication. Thank you for taking the time to read this complete description. Understanding the methodology, limitations, and proper usage is essential for anyone considering using this indicator. Trade safely and responsibly.
Penunjuk Pine Script®
oleh CryptogenixClub
TREND PULL BACK BUY SELL//@version=5 indicator("Clean Signal Bot 24/7 ($250 SL)", overlay=true) // ===== SETTINGS ===== riskDollars = 250.0 pointValue = syminfo.pointvalue // ===== INDICATORS ===== fastEMA = ta.ema(close, 9) slowEMA = ta.ema(close, 21) rsi = ta.rsi(close, 14) // ===== TREND ===== bullTrend = fastEMA > slowEMA bearTrend = fastEMA < slowEMA // ===== PULLBACK ===== pullbackLong = close < fastEMA and close > slowEMA pullbackShort = close > fastEMA and close < slowEMA // ===== CANDLE CONFIRM ===== bullCandle = close > open bearCandle = close < open // ===== ENTRY SIGNALS ===== buySignal = bullTrend and pullbackLong and bullCandle and rsi > 50 sellSignal = bearTrend and pullbackShort and bearCandle and rsi < 50 // ===== TRADE STATE ===== var bool inLong = false var bool inShort = false var float entry = na var float stop = na riskPoints = riskDollars / pointValue // ===== ENTER ===== if buySignal inLong := true inShort := false entry := close stop := entry - riskPoints if sellSignal inShort := true inLong := false entry := close stop := entry + riskPoints // ===== EXIT ===== exitLong = inLong and (close <= stop or bearTrend) exitShort = inShort and (close >= stop or bullTrend) if exitLong inLong := false if exitShort inShort := false // ===== CANDLE HIGHLIGHT ===== barcolor( buySignal ? color.lime : sellSignal ? color.red : exitLong or exitShort ? color.yellow : na) // ===== LABELS ===== if buySignal label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.lime, textcolor=color.black) if sellSignal label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white) if exitLong or exitShort label.new(bar_index, close, "EXIT", style=label.style_label_left, color=color.yellow, textcolor=color.black) // ===== ALERTS ===== alertcondition(buySignal, "BUY ENTRY", "BUY SIGNAL") alertcondition(sellSignal, "SELL ENTRY", "SELL SIGNAL") alertcondition(exitLong or exitShort, "EXIT TRADE", "EXIT SIGNAL")
Penunjuk Pine Script®
oleh chescocampanile
Quarterlytheory Candles [Fractal Edition Pro+] by aamirlangQuarterlytheory Candles - by aamirlang Overview Quarterlytheory Candles is a comprehensive multi-timeframe Smart Money Concepts (SMC) indicator designed for precision trading based on quarterly theory, institutional order flow, and advanced market structure analysis. This indicator combines Higher Timeframe (HTF) candle visualization, liquidity sweeps, market structure shifts, Fair Value Gaps (FVGs), and Smart Money Tool (SMT) divergences to provide traders with institutional-level insights. Core Features 1. HTF Candles with Quarter-Based System Adaptive Timeframe Selection: Automatically calculates optimal Higher Timeframe based on your chart timeframe 1m chart → 23m HTF (Q1-Q4 quarters) 5m chart → 90m HTF (Q1-Q4 quarters) 15m/60m chart → 360m/6H HTF (Asia/London/NY AM/NY PM sessions) Daily chart → Weekly/Monthly HTF Weekly chart → Monthly/Quarterly HTF Visual HTF Candle Display: Shows up to 50 HTF candles with customizable offset Bullish/Bearish body and wick coloring Real-time candle formation with live updates Quarter labels (Q1, Q2, Q3, Q4) or session names (Asia, London, NY AM, NY PM) Countdown timer showing time remaining in current HTF period HTF Open Line: Displays the opening price of each HTF candle with customizable style HTF Fair Value Gaps: Identifies imbalances (BISI/SIBI) on HTF candles 2. C2 Setup Detection The cornerstone of this indicator - identifies high-probability reversal setups: C2 Buy Signal: Occurs when HTF candle sweeps previous HTF low and closes back above it C2 Sell Signal: Occurs when HTF candle sweeps previous HTF high and closes back below it C2 Confirmation System: CISD Pattern (Change In State of Delivery): Validates sweep with price reclaiming CISD level Multi-Period Validation: Confirms setups within 2 HTF periods C3 Box: Shows HTF open to previous HTF EQ (50% level) C4 Setup: Secondary setup when C3 EQ is favorable relative to HTF open Standard Deviation Levels: Automatically calculates extension targets (-1, -2, -2.5, -4, -4.5) Visual Elements: C2/C4 labels with transparent backgrounds T-Spot boxes highlighting setup zones (bullish=green, bearish=red) CISD confirmation lines Setup invalidation tracking (XC2/XC4 labels when stop hit) 3. Current Range Tool (CRT) Displays three critical levels from the most recently closed HTF candle: HTF High (red dotted line) HTF EQ/Midpoint (gray dotted line) HTF Low (green dotted line) These levels serve as key support/resistance and targets for current HTF period. 4. Market Structure Shifts (MSS) Automatically detects bullish and bearish market structure breaks Uses fractal-based swing detection (customizable period: 1-15) Color-coded MSS lines (blue=bullish, red=bearish) Labels mark precise MSS points 5. Fair Value Gaps (FVG) Bullish FVGs (BISI - Buy Side Imbalance Sell Side Inefficiency): Blue zones Bearish FVGs (SIBI - Sell Side Imbalance Buy Side Inefficiency): Red zones Mitigation Tracking: Changes to gray when price taps the zone Automatically manages up to 50 FVGs (configurable) 6. Confirmed HTF Swing Levels Draws horizontal lines at confirmed swing highs/lows Confirmation Logic: HTF candle sweeps a level AND next candle closes with rejection Lines extend for customizable overshoot bars Useful for identifying swept liquidity levels 7. LTF Sweep Detection Identifies when HTF candles sweep previous HTF candle highs/lows Draws sweep lines on main chart at swept levels Helps visualize liquidity grabs in real-time 8. Trading Sessions & Killzones - Highlights key institutional trading sessions: Asia Session (18:00-00:00 NY time) - Gray London Session (00:00-06:00 NY time) - Red NY AM Session (06:00-12:00 NY time) - Green NY PM Session (12:00-18:00 NY time) - Blue Session Features: Customizable box colors and transparency Session high/low pivot lines Pivot labels with optional price display Session open lines ("True Day/Asia/London/NY Open") Days of week labels (MON, TUE, WED, etc.) Daily/Weekly/Monthly open lines and high/low pivots 9. Smart Money Tool (SMT) Divergences Compares your chart with two other symbols to identify divergences: Symbol 1 (default: TVC:DXY - US Dollar Index) Symbol 2 (default: OANDA:GBPUSD) 10. Information Tables Two customizable watermark tables: Info Table: Shows ticker, LTF, HTF, countdown timer, and bias Personal Table: Customizable inspirational message How to Use This Indicator Getting Started Add to Chart: Apply indicator to your preferred timeframe (works best on 1m, 5m, 15m, 60m, Daily) Review HTF Candles: Check the HTF candles displayed on the right side with quarter/session labels Monitor CRT Levels: Watch the dotted High/EQ/Low lines from previous closed HTF candle Wait for C2 Setup: Look for C2 labels appearing after HTF sweep + CISD confirmation Trading the C2 Setup For Long Positions (C2 Buy): Wait for HTF candle to sweep previous HTF low (price goes below previous HTF low) HTF candle closes back above the swept low (rejection) CISD confirmation: Price reclaims the CISD level (blue line) C2 label appears at the swept low T-Spot (green box) shows optimal entry zone between HTF open and previous HTF EQ Standard Deviation levels provide targets (-1, -2, -2.5, -4, -4.5 from CISD swing) Stop Loss: Above C2 label level (swept low) Invalidation: If stop hit, label changes to XC2 in red For Short Positions (C2 Sell): Wait for HTF candle to sweep previous HTF high (price goes above previous HTF high) HTF candle closes back below the swept high (rejection) CISD confirmation: Price breaks below the CISD level (blue line) C2 label appears at the swept high T-Spot (red box) shows optimal entry zone between HTF open and previous HTF EQ Standard Deviation levels provide targets (-1, -2, -2.5, -4, -4.5 from CISD swing) Stop Loss: Below C2 label level (swept high) Invalidation: If stop hit, label changes to XC2 in red Advanced Techniques Using Bias Filter: Auto: Allows both long and short setups Bullish: Only shows long setups (filters out shorts) Bearish: Only shows short setups (filters out longs) Combining with Sessions: Trade C2 setups that occur during high-volume sessions (London/NY AM) Use session highs/lows as additional confluence Avoid setups during low-volume periods (late NY PM/early Asia) FVG Confluence: Look for C2 setups that align with unfilled FVGs Target FVGs as potential reversal zones Use mitigated FVGs as trailing stop areas MSS Confirmation: Stronger setups occur after MSS in the C2 direction Wait for bullish MSS before taking C2 long setups Wait for bearish MSS before taking C2 short setups SMT Divergence: Use SMT divergences as additional confirmation If DXY shows divergence at your C2 level = higher probability setup Helps filter false setups and identify institutional manipulation Risk Management Maximum 2 HTF periods: C2 setups invalidate if stop not hit within 2 HTF candles C4 Secondary Setup: If C3 EQ is favorable, you may get a C4 continuation setup Std Dev Targets: Scale out at -1, -2, -2.5 levels; let runner go to -4/-4.5 Monitor CRT Levels: Previous HTF high/low often act as magnets for price ⚙️ Customization Options HTF Candles Settings Toggle HTF Candles display on/off Fractal mode (uses fractal-based HTF calculation) Number of candles to display (1-50) Offset positioning HTF labels with custom size and color Body, border, and wick colors for bull/bear candles FVG zones on HTF candles HTF Open line style, color, width Watermark tables (position, text customization) General Settings T-Spot box toggle and colors Bias filter (Auto/Bullish/Bearish) Market Structure markers (HH/HL/LH/LL) Vertical lines for HTF candle open/close CRT lines (High/Low/EQ) with color and width customization MSS detection toggle with bull/bear colors Fractal period (1-15) FVG detection with bull/bear colors, mitigated color Maximum FVGs to track (1-50) StdDs toggle with custom levels input Sessions and Pivots Settings Timeframe limit (prevents display on higher TFs) Toggle each session individually (Asia/London/NY AM/NY PM/Extra) Custom session times and colors Box transparency control Session labels toggle Session high/low pivot lines Pivot label price display Alert on broken pivots D/W/M open lines D/W/M high/low lines Days of week labels True session opens (custom session times for precise opens) Line styles and widths SMT Settings Symbol 1 and Symbol 2 selection Invert symbol options (for inverse correlations) Historical data toggle Alerts C2 Setup Alerts (long and short) Sweep Alerts (optional) MSS Alerts (optional) FVG Alerts (optional) Broken Pivot Alerts (optional) Label System C2: Confirmed setup label C4: Secondary setup label XC2: Invalidated C2 (red if hit on HTF 1, orange if HTF 2) XC4: Invalidated C4 (red) MSS: Market structure shift Q1, Q2, Q3, Q4: Quarter labels for sub-session HTF Asia, London, NY AM, NY PM: Session labels for 6H HTF MON, TUE, WED, etc.: Day of week labels HH, HL, LH, LL: Market structure markers Std Dev Labels: -1, -2, -2.5, -4, -4.5 Best Practices For Day Traders (1m, 5m charts) Use fractal mode for cleaner HTF calculation Focus on London and NY AM sessions for volume Trade C2 setups aligned with session bias Use -1 and -2 Std Dev levels as initial targets Monitor SMT divergences for confirmation For Swing Traders (15m, 60m, Daily charts) Use standard HTF mode for accurate session mapping Focus on C2 setups at major session opens (Daily, Weekly) Target -4 and -4.5 Std Dev levels Use Weekly/Monthly pivots for additional confluence Allow 2 full HTF periods for setup to play out For All Traders Journal your C2 setups: Track success rate, best sessions, best Std Dev targets Use bias filter strategically: If trending strongly, filter counter-trend setups Combine with price action: C2 is a framework, not a mechanical system Respect CRT levels: Previous HTF high/EQ/low are magnets Don't force trades: Quality > quantity with C2 setups Backtest on your instrument: Every market has nuances 🔔 Alert Configuration This indicator supports TradingView alerts: Click "Create Alert" on TradingView Select "Quarterlytheory Candles" as condition Choose alert type: "Long Trade Alert!" - Fires when C2 Buy confirmed "Short Trade Alert!" - Fires when C2 Sell confirmed Set "Once Per Bar Close" frequency Customize alert actions (notification, email, webhook, sound) Pro Tip: Use webhook alerts to connect to Discord, Telegram, or trading bots for automated notifications. ⚠️ DISCLAIMER FOR EDUCATIONAL PURPOSES ONLY This indicator is provided as an educational tool for learning about Smart Money Concepts, quarterly theory, and institutional order flow analysis. It is NOT financial advice. Important Notices: Trading involves substantial risk of loss and is not suitable for everyone Past performance does not guarantee future results No indicator can predict market movements with certainty The developer (aamirlang) is not a registered financial advisor Always use proper risk management and position sizing Never risk more than you can afford to lose This indicator does not guarantee profitable trades Users are solely responsible for their trading decisions Test thoroughly on paper/demo accounts before risking real capital Market conditions change; what works today may not work tomorrow Technical Disclaimer: This indicator may repaint on unconfirmed bars (use confirmed signals only) Higher timeframe calculations may vary slightly from standard TradingView HTF functions Performance may vary across different instruments and market conditions Ensure adequate chart history is loaded for accurate calculations By using this indicator, you acknowledge: You understand the risks of trading You have tested this indicator thoroughly You take full responsibility for all trading decisions You will not hold the developer liable for any losses 🙏 CREDITS & ACKNOWLEDGMENTS This indicator builds upon the excellent work of several open-source contributors and combines concepts from various trading methodologies. Full credit and gratitude to: Core Concepts & Methodology @traderdaye: I have used the Quarterly theory concepts and True opens of Daye. @TTrades_edu: The foundational C2/C3/C4 setup structure and CISD pattern detection methodology that forms the core of this indicator ICT (Inner Circle Trader): Smart Money Concepts framework, killzones, liquidity concepts, and FVG theory Open Source Code Components 1. Smart Money Tool (SMT) Divergence Detection Original Author: Algoryze Component: SMT divergence calculation and visualization system Contribution: Multi-symbol comparison logic, fractal-based swing detection for divergences License: Open source (TradingView Public Library) 2. Killzones and Pivot System Original Author: Tradeforopp Component: Trading session boxes, pivot high/low detection, D/W/M separators and opens Contribution: Session time management, pivot line extensions, timezone handling License: Open source (TradingView Public Library) Modifications & Enhancements by aamirlang Integrated all components into unified quarterly theory framework Developed adaptive HTF calculation system with quarter-based labeling Created C2/C3/C4 setup detection logic with CISD confirmation Implemented Standard Deviation target system Built HTF candle visualization engine with custom quarter formatting Added Current Range Tool (CRT) for previous HTF levels Developed setup invalidation tracking system Created custom watermark and information tables Implemented confirmed swing detection and LTF sweep visualization Added comprehensive alert system Optimized performance and visual clarity Enhanced customization options throughout Community & Inspiration TradingView Community: For feedback, testing, and continuous improvement suggestions SMC Trading Community: For sharing knowledge on institutional order flow Pine Script™ Documentation: For technical reference and best practices Special Thanks To all traders who have shared their experiences with quarterly theory To the open-source trading community for fostering collaboration To early testers who provided valuable feedback 📝 Version Information Current Version: Fractal Edition Pro+ Indicator Name: Quarterlytheory Candles by aamirlang Pine Script™ Version: 5 Last Updated: 2026 Compatibility: TradingView Free, Pro, Pro+, Premium plans 📧 Contact & Support For questions, suggestions, or to report issues: Before reaching out: Read this description thoroughly Check indicator settings and tooltips Test on demo account first Review TradingView's Pine Script™ documentation 🔄 Future Development Potential enhancements under consideration: Multi-timeframe dashboard view Custom alert message templates Volume profile integration Enhanced session statistics table Liquidity heatmap visualization Trade journal integration C2 Setup analysis and statistics Auto Bias detection and implementation Auto SSMT and SMT PSP Detection Feature requests are welcome via TradingView comments section. 📜 License This indicator combines original code by aamirlang with modified open-source components from Algoryze (SMT) and Tradeforopp (Killzones/Pivots). This indicator is shared for educational purposes. Redistribution or resale of this indicator or its components without proper attribution is prohibited.
Penunjuk Pine Script®
oleh MonZo-Trading
2
SPY Quant ML + Session Filter Strategy [CocoChoco]S&P 500 Quant: Machine Learning & Mean Reversion (Session-Filtered) Overview This is a professional-grade quantitative strategy designed specifically for the S&P 500. It combines classical statistical mean reversion (Z-Score) with a modern Machine Learning filter and rigorous institutional-grade risk management. The strategy is optimized for traders who prioritize high win rates and capital preservation, specifically avoiding the "gap risk" associated with holding positions overnight. Core Methodology 1. Statistical Entry (The Z-Score Engine) The strategy identifies "oversold" conditions in a bullish context. It calculates the Z-Score of the price relative to its 20-period Mean (SMA). By default, it looks for a -1.2 Standard Deviation extension, signaling a high-probability "dip" ripe for a snap-back to the mean. 2. Trend & ML Filters To avoid "catching a falling knife," the strategy uses two layers of confirmation: Trend Filter: Only takes Long positions when the price is above the 200-period SMA, ensuring we only buy dips in a confirmed uptrend. ML Correlation Filter: A Machine Learning-inspired module that analyzes the correlation between RSI and Volatility (ATR). It only permits entries when market internal dynamics suggest a reversal is technically "healthy." 3. Institutional Risk Management This script is built for "safety-first" automation: Hard Stop Loss: Fixed at 1.5% to protect against sudden market shocks. Active Trailing: A dual-trigger trailing stop. It activates once the price touches the 20 SMA (The Mean) OR once a trade reaches a 0.50% profit threshold. This ensures near-winners are protected and large runners are captured. Intraday Circuit Breaker: Includes a Max Daily Drawdown (2%) limit. If hit, the script automatically closes losing positions and halts trading for the day, while allowing winning positions to continue. Key Features Session-Specific: Tailored for the US Trading Session (UTC/NY times). Zero Overnight Risk: Automatically flattens all positions before the market close (16:00 NY Time). Holiday Intelligence: Hard-coded logic for US Market Holidays and Early Closes (2026–2028), ensuring the bot doesn't get stuck in illiquid holiday markets. Hourly Entry Cap: Limits entries to one per hour to prevent over-concentration during a single price leg. How to Use Timeframe: I suggest you use it on the 5-minute or 1-hour timeframe for optimal results. Instrument: Designed for the S&P 500, but highly effective on SPY, IVV, and ES (Futures). Pyramiding: Designed to handle up to 3 concurrent positions, allowing the strategy to scale into a move as the Z-Score deepens. Automation Ready This script is fully compatible with webhook-based automation tools. All signals (Entry, SL, Trail, Market Close, and Daily Limit) are clearly labeled in the Alert comments for seamless execution. I haven't tasted it though. This is not financial advice. Please perform your own tests and manage your risk. Disclaimer Past performance does not guarantee future results. This script is a tool for quantitative analysis and should be used as part of a broader diversified trading plan.
Strategi Pine Script®
oleh CocoChoco1
BTC - Sentiment (Posts weighted) LSMABTC - Sentiment (Posts Weighted) LSMA | RM Concept In the current 2026 market regime, Bitcoin has transitioned into a mature institutional asset. However, retail "Social Liquidity" remains the primary driver of local volatility and blow-off tops. This script serves as a deterministic proxy for crowd conviction, utilizing the LUNARCRUSH:BTC_SENTIMENT feed to identify when social hype has decoupled from fundamental value. Data Source: LunarCrush Integration This model utilizes the native LunarCrush data prefix. Unlike simple "mention counts," the BTC_SENTIMENT metric is a percentage-based value (0-100%) representing the "Sentiment of positive posts weighted by interactions." • Interactions vs. Volume: By weighting sentiment by interactions (likes, shares, comments), the data filters out bot-driven "spam" and focuses on what real participants are actually engaging with. • Meaning of the Value: 100% indicates that every single interaction-weighted post is positive; 0% indicates total negativity. Historically, BTC sentiment rarely drops below 60% or stays above 90% for long, creating a predictable mean-reverting corridor. Technical Architecture • The LSMA Denoising Engine Raw social data is inherently "jittery." To extract a tradable signal, we apply a Least Squares Moving Average (LSMA) with a 28-day lookback. • Mathematical Advantage: Unlike a Simple Moving Average (SMA), the LSMA calculates a linear regression line for each period to find the "best fit." This allows the indicator to track the velocity of sentiment shifts with significantly less lag, which is critical for identifying "Social Exhaustion" before a price reversal occurs. • The Social Heat Index (SHI) Calculation: To align this data with the broader Rob Maths ecosystem, we normalize the LSMA output into a standardized 0–10 score using a Linear Feature Scaling (Min-Max) formula: SHI = ((Current LSMA - 65) / 25) * 10 ; This formula treats 65% as the "Floor" (Apathy) and 90% as the "Ceiling" (Hysteria). This 0–10 scale allows for immediate comparison against other institutional risk metrics. Regime Audits & Usage • Accumulation (Blue Zone / <72.5%): Social Despair. Retail interest is at a mathematical minimum. Historically, these periods of "Social Apathy" coincide with major local bottoms as institutional "Smart Money" absorbs the lack of retail demand. • Neutral Zone (Grey): Sustainable growth. Sentiment is within the normal distribution. • Distribution (Red Zone / >82.5%): Overheated. The crowd is in a state of maximum FOMO. When the SHI exceeds 8.5/10, the risk of a "Liquidity Flush" increases significantly. Visual Scaling To ensure the curve is readable, the indicator pane is hard-locked to a 65–90 scale. This prevents the "flat line" effect often seen in 0-100 oscillators and highlights the subtle divergences that occur at cycle peaks. Disclaimer Past performance does not guarantee future results. Social metrics are alternative data points and should be used in conjunction with price action and risk management. This is a mathematical model, not financial advice. Tags Rob Maths, Rob_Maths, robmaths, Bitcoin, Sentiment, LunarCrush, Quant, LSMA, OnChain, Social Liquidity
Penunjuk Pine Script®
oleh Rob_Maths