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Supertrend Clean Pro + Discord Alert📈 Supertrend Clean Pro with Discord Alert: Strategy Guide 1. Indicator Overview The Supertrend Clean Pro with Discord Alert is a trend-following indicator that combines price action and volatility (ATR) to identify market direction. Green Line : Bullish trend; focus on Long entries. Red Line : Bearish trend; focus on Short entries. Start Dots : High-visibility markers that appear exactly when a trend flips. 2. Dashboard Metrics STATUS : Real-time trend direction. MARKET : Uses the Volatility Filter. If "FLAT," the ATR is below its moving average, suggesting low-volume consolidation—typically a bad time to enter. STOP GAP : The distance between current price and the Supertrend line (suggested Risk). TREND GAIN : Tracks how many pips the current trend has moved since the last flip. 3. Best Execution Strategy To maximize win rates, follow these rules based on the script logic: A. The "Flat Line" Rule (Avoid Sideways Markets) When the Supertrend line becomes flat or horizontal, the market is in a range. Avoid: Taking new signals when the line has been flat for several candles. Prefer: Signals where the Supertrend line has a clear **diagonal slope**, indicating strong momentum. B. The Volatility Filter The script includes an isVolatile check. Only take signals when the Dashboard shows " ACTIVE 🔥 ". This ensures you aren't entering a trade during a "dead" market where price just "bleeds" through your stop loss without moving. C. Risk Management The indicator automatically calculates a 2.0 Risk-Reward Ratio (RRR). Use the Discord alert or the dashboard "Stop Gap" to set your position size. --- ⚙️ Optimized ATR Settings (2H Timeframe) Settings are optimized for the 2-hour chart to balance noise reduction with trend sensitivity. | Symbol | ATR Period | Multiplier | Notes | | --- | --- | --- | --- | | XAUUSD (Gold) | 10 | 3.5 | Wider multiplier to handle gold’s "whipsaws." | | XAGUSD (Silver) | 12 | 3.0 | Silver requires a slightly longer period for stability. | | EURUSD | 10 | 2.5 | Lower multiplier for tight-ranging FX pairs. | | GBPUSD | 10 | 3.0 | Standard setting for the "Cable's" volatility. | | USDCAD | 14 | 3.0 | Slightly slower period to filter CAD oil-related noise. | | AUDJPY | 10 | 2.8 | Captures yen-carry trade trends effectively. | | GBPJPY | 12 | 4.0 | High volatility requires a much wider multiplier. | | BTCUSD | 10 | 4.0 | Wide multiplier to avoid being stopped out by BTC spikes. | Disclaimer: Trading foreign exchange is highly speculative and carries a substantial risk of loss. Past performance does not guarantee or predict future results. The publisher, and any associated software, automated trading systems ("bots"), or indicators, are not responsible for any financial losses or damages resulting from their use. You alone assume all risk.
Indikator Pine Script®
oleh sharpie0319
2
Trend Highway (Manual Edition)Trend Highway (Manual Edition) All-in-One Trend Following System with Smart Filter Logic This indicator is a comprehensive trading system designed for Manual Traders who seek precision and reduced noise. It merges the power of Trend Highway, Smart Money Concepts (Order Blocks & Market Structure), and Moving Averages into a single, clean chart interface. ⚠️ Note: This is the "Manual Edition". All bot automation codes (BingX/Telegram) have been removed to ensure a lightweight and fast performance. Key Features (ฟีเจอร์หลัก) 1. Trend Highway Core (ถนนเทรนด์) Visualizes the trend direction using a dynamic ribbon. 🟢 Green/Orange: Bullish Trend (ขาขึ้น) 🔴 Red/Yellow: Bearish Trend (ขาลง) 2. Smart Chop Filter (ระบบกรองไซด์เวย์ขั้นสูง) 🧠 This is the heart of the system. It prevents "False Breakouts" by enforcing a strict momentum sequence before signaling an entry: Step 1 (Rest): The Chop Index (CI) must first rise above 61.8. This indicates the market is resting or consolidating (creating "Potential Energy"). Step 2 (Run): The CI must then drop below 50. This confirms the consolidation is over and a true momentum breakout is occurring (releasing "Kinetic Energy"). Result: You only trade when the market has "rested enough" and is ready to run. 3. Strategic Entry & Add-On (ระบบเข้าออเดอร์) First Entry: Signals when a trend reversal is confirmed with valid momentum. Add-On (Add+): Allows you to compound positions safely. The system only suggests adding to a winner if the price pulls back, consolidates (triggers the 61.8 memory), and breaks out again. 4. Hybrid Exit Strategy (ระบบปิดทำกำไร) 🛡️ Exits are dynamic and adapt to market conditions: Unified SL: Trailing Stop Loss calculated from consolidation structures. CHoCH Exit: Immediately signals an exit if a Change of Character (Trend Structure Shift) occurs against your position. 5. Institutional Context Order Blocks (OB): Auto-detects high-probability Supply & Demand zones. Market Structure: Real-time labeling of BOS (Break of Structure) and CHoCH (Change of Character). EMAs: Includes EMA 50 & 200 for macro trend identification. How to Trade (วิธีการใช้งาน) 🟢 LONG Setup: Trend Highway turns Green. Price is above EMA 200 (Optional but recommended). Wait for Alert: "Open LONG" signal appears (Confirmed by CI Filter < 50). Stop Loss: Place at the red "Unified SL" cross or the recent swing low. 🔴 SHORT Setup: Trend Highway turns Red. Price is below EMA 200 (Optional but recommended). Wait for Alert: "Open SHORT" signal appears (Confirmed by CI Filter < 50). Stop Loss: Place at the red "Unified SL" cross or the recent swing high. 🏁 EXIT Strategy: Close the position immediately when you receive a "Close LONG/SHORT" alert. This alert triggers on either a Stop Loss hit OR a structural change (CHoCH), helping you lock in profits before the trend reverses. Alerts Configuration (การตั้งค่าแจ้งเตือน) You can set up a single alert to cover all scenarios: Add Alert on this indicator. Condition: Select "Trend Highway (Manual Edition)". Select "Any alert() function call". You will receive human-readable notifications for: Open LONG / Add-On Buy 🟢 Open SHORT / Add-On Sell 🔴 Close LONG / SHORT 🏁 Developed by User Request (AomTawan Logic Merged)
Indikator Pine Script®
oleh AOM-TAWAN
OSVS Advanced CRT Scanner + FVG & Filter📌 Script Name OSVS Advanced CRT Scanner + FVG & Trend Filter 📖 Description OSVS Advanced CRT Scanner is an advanced CRT (Candle Range Theory) scanner based on ICT / Smart Money concepts, designed for multi-timeframe and multi-symbol market scanning. The script combines multiple filters such as: Liquidity sweeps Fair Value Gap (FVG) interactions Trend filter (EMA) Risk / Reward (R:R) validation Signal maturity (candle completion) to identify high-quality long and short trading opportunities. It provides both visual trade setups (Entry / SL / TP) on the chart and a dashboard for monitoring multiple markets simultaneously. 🚀 Key Features 🔎 Multi-Symbol Scanner Scan up to 7 different symbols simultaneously Supports cryptocurrencies, dominance indices, and futures contracts ⏱ Multi-Timeframe Analysis Weekly (1W) Daily (1D) 4H 1H Each timeframe runs through an independent CRT + filtering process. 🧠 Smart Filters ✅ CRT Sweep Logic ✅ Outside Bar (Range Fill) filter ✅ Fair Value Gap (FVG) interaction confirmation ✅ Trend direction filter (EMA) ✅ Minimum Reward / Risk ratio ✅ Candle maturity (% completion) filter 📊 Trend Filter User-defined EMA length User-defined trend timeframe Counter-trend signals can be optionally filtered out 🎯 Trade Setup Visualization Automatically plotted on the chart: Entry Stop Loss Take Profit (2R) If price touches TP or SL before entering the trade, the setup is automatically invalidated (stale filter). 🟡 FVG Quality (+) Tag A “+” quality tag is added if the signal interacts with an active Fair Value Gap (FVG) Displayed visually on both the chart and the dashboard 📋 Dashboard (Scanning Panel) All symbols displayed on a single screen Color-coded based on trend direction Long / Short / Quality status: L / S L+ / S+ – (no signal) ⚙️ Input Settings 🔹 Symbols Up to 7 symbols 🔹 Visual Settings CRT levels Trend EMA Trade setup drawings FVG quality tag 🔹 Trend Filter Enable / disable trend filter EMA length Trend timeframe 🔹 Risk Management Minimum Reward / Risk ratio 🔹 Signal Timing Candle completion percentage (% maturity) 🔹 Advanced Filters Outside bar filter FVG lookback bar count 🔹 Dashboard Size (Tiny / Small / Normal) Position (Top / Bottom) 🔔 Alert System Triggered when an active CRT setup appears on any symbol JSON-compatible alert message: CRT STATUS: Setup Detected! Compatible with bots and webhook systems. ⚠️ Disclaimer This script is not financial advice. It is intended for educational and analytical purposes only. Trading financial markets involves risk. All trading decisions are the sole responsibility of the user. 🧩 Usage Recommendation For best performance, use with an HTF → LTF top-down approach Signals become more selective when the trend filter is enabled FVG (+) tagged setups are considered higher probability -----------------------------------------------------------------------------------------------------------
Indikator Pine Script®
oleh O-SVS
Alertrino - Alpha EdgeAlertrino: Alpha Edge AI Indicator & Trading Intelligence Master the Markets with Institutional AI on TradingView 🚀 The core of your success starts with the Alpha Edge Indicator. Designed to eliminate guesswork, this professional-grade tool transforms your charts into a precision-driven trading machine. Powered by advanced neural networks, Alpha Edge does the heavy lifting so you can trade with absolute clarity. 🔵 The Flagship: Alpha Edge Indicator AI-Driven Signals: High-probability Buy/Sell signals based on trend reversals and institutional momentum. Smart Liquidity Levels: Automatic Support & Resistance zones derived from real market volume. Trend Confirmation: Advanced filtering to keep you on the right side of the trend and avoid "fakeouts." TradingView Native: Easy integration with customizable alerts sent directly to your phone or desktop. 🤖 Your Intelligence Arsenal: 20+ AI Bots Enhance your Alpha Edge strategy with our comprehensive data ecosystem: Smart Money & Dark Pools: Track $1M+ "Golden Sweeps" and hidden institutional block trades. AI Predictions: Predictive scoring for intraday and swing moves using machine learning. Breakout Scanners: 24/7 monitoring of 5,000+ assets to catch momentum before it explodes. Insider Activity: Real-time alerts on CEO buying/selling and Wall Street analyst shifts. Why Alertrino? We combine visual technical precision through Alpha Edge with real-time fundamental data from our bots. It’s the ultimate "Edge" for serious stock, options, and crypto traders. Get Alpha Edge Now & Trade with Confidence Website: alertrino.com
Indikator Pine Script®
oleh alertrino
SpaceORB-BTC- Multi-Trade ORB SystemThe SpaceORB as Created by Virtal Solutions is based on the very popular ORB trading system combined with SpacemanBTC features to create better choices on where to enter and to sell. Many ORB systems exist, but none with this combination and also none with the shear number of custom parameters that can be tweaked or fine tuned.The system is an indicator with extensive Alerts, but based on the old-style Fixed types. If requested enough we might convert to a strategy version at a later stage. We tried our best to incorporate all possible setups and parameters to enable you to fine tune your system to the best of your ability. The current setup is for BTC and delivers a 1.8 Profit factor on the Bitget data, but it is possible to tune it to a 2.0 factor on a 9 minute period. On more volatile coins you can increase profitability sharply. There might be 1 or 2 small issues that has not been smoothed out yet, but it works well and doesn't use too much processing resources. Trading commission has not been included in any results. The basic idea of this system is to create a bot that can run independently and control it's setup on it's own by creating variable Stop losses and Profit targets. We belief this system is one of the superior trading systems currently available, but let us know what you think and if you have any other ideas for further improvement, please drop us a message. Virtal Solutions -virtal08@gmail.com
Indikator Pine Script®
oleh Virtal
EstongA* Bot Alerts ProV1*Here’s a consolidated list of warnings and advice for traders, whether you're just starting or are experienced: ⚠️ Critical Warnings 1. You can lose all your capital – Trading is not a get-rich-quick scheme. Never trade with money you can’t afford to lose. 2. Avoid leverage until you fully understand it – Leverage amplifies both gains and losses. Many traders get wiped out by over-leveraging. 3. Beware of "guaranteed profit" systems – If it sounds too good to be true, it is. No strategy works all the time. 4. Emotional trading is a career killer – Fear, greed, and revenge trading destroy accounts. 5. Don’t follow tips or "hot leads" blindly – Do your own analysis. Many influencers are secretly unloading positions onto followers. 📚 Essential Advice Mindset & Psychology • Treat trading like a business, not gambling. Have a plan for every trade. • Develop patience – Wait for high-probability setups; don’t force trades. • Accept losses as part of the game – Even the best traders have losing streaks. The key is risk management. • Keep a trading journal – Record every trade: entry/exit reasoning, emotional state, outcome. Review weekly. Risk Management (Non-Negotiable) • Risk only 1-2% of your capital per trade – This protects you from ruin during a losing streak. • Always use stop-losses – Decide your stop-loss BEFORE entering a trade. • Never add to a losing position ("averaging down") – This is how small losses become catastrophes. • Have a risk/reward ratio of at least 1:2 – Aim for potential profit to be at least double your potential loss. Strategy & Education • Master one market/strategy at a time – Don’t jump between forex, stocks, crypto, and options simultaneously. • Backtest and forward-test any strategy before using real money. • Understand market context – Are you in a trending or ranging market? Adjust your strategy accordingly. • Continuously educate yourself – Markets evolve. Stay updated, but avoid constantly switching strategies. Practical Habits • Start with a demo account – Prove you can be consistently profitable before using real money. • When moving to real money, start small – The psychology changes with real money on the line. • Set trading hours and stick to them – Avoid overtrading and burnout. • Regularly withdraw profits – Secure gains and reinforce the reality of your earnings. 🚨 Red Flags in Yourself • Chasing losses – Trying to immediately recoup a loss leads to bigger losses. • Overconfidence after wins – Leads to taking oversized, reckless trades. • Ignoring your trading plan – If you’re making exceptions, you don’t have a plan. • Blaming the market or others – You are responsible for every trade. Take ownership. 🔍 Choosing a Broker/Platform • Regulation is crucial – Ensure they are licensed by a reputable authority (FCA, SEC, ASIC, etc.). • Understand all fees – Spreads, commissions, overnight financing, withdrawal fees. • Test customer support – You need them in a crisis. • Start with a well-known, established broker – Avoid obscure platforms with offers that seem too good. 💡 Final Wisdom • Preservation of capital is more important than making profits. Survive to trade another day. • The market will always be there – Missing an opportunity is better than taking a bad trade. • Trading is a marathon of consistency, not a sprint for mega-returns. • If you're consistently losing, stop, step back, and re-evaluate. Sometimes the best trade is no trade. Remember, approximately 90% of retail traders lose money. To be in the successful 10%, you need discipline, continuous learning, and emotional control more than a "perfect" strategy. Good luck.
Indikator Pine Script®
oleh Palpiptaste
EstongA* Bot Alerts ProV1*Here’s a consolidated list of warnings and advice for traders, whether you're just starting or are experienced: ⚠️ Critical Warnings 1. You can lose all your capital – Trading is not a get-rich-quick scheme. Never trade with money you can’t afford to lose. 2. Avoid leverage until you fully understand it – Leverage amplifies both gains and losses. Many traders get wiped out by over-leveraging. 3. Beware of "guaranteed profit" systems – If it sounds too good to be true, it is. No strategy works all the time. 4. Emotional trading is a career killer – Fear, greed, and revenge trading destroy accounts. 5. Don’t follow tips or "hot leads" blindly – Do your own analysis. Many influencers are secretly unloading positions onto followers. 📚 Essential Advice Mindset & Psychology • Treat trading like a business, not gambling. Have a plan for every trade. • Develop patience – Wait for high-probability setups; don’t force trades. • Accept losses as part of the game – Even the best traders have losing streaks. The key is risk management. • Keep a trading journal – Record every trade: entry/exit reasoning, emotional state, outcome. Review weekly. Risk Management (Non-Negotiable) • Risk only 1-2% of your capital per trade – This protects you from ruin during a losing streak. • Always use stop-losses – Decide your stop-loss BEFORE entering a trade. • Never add to a losing position ("averaging down") – This is how small losses become catastrophes. • Have a risk/reward ratio of at least 1:2 – Aim for potential profit to be at least double your potential loss. Strategy & Education • Master one market/strategy at a time – Don’t jump between forex, stocks, crypto, and options simultaneously. • Backtest and forward-test any strategy before using real money. • Understand market context – Are you in a trending or ranging market? Adjust your strategy accordingly. • Continuously educate yourself – Markets evolve. Stay updated, but avoid constantly switching strategies. Practical Habits • Start with a demo account – Prove you can be consistently profitable before using real money. • When moving to real money, start small – The psychology changes with real money on the line. • Set trading hours and stick to them – Avoid overtrading and burnout. • Regularly withdraw profits – Secure gains and reinforce the reality of your earnings. 🚨 Red Flags in Yourself • Chasing losses – Trying to immediately recoup a loss leads to bigger losses. • Overconfidence after wins – Leads to taking oversized, reckless trades. • Ignoring your trading plan – If you’re making exceptions, you don’t have a plan. • Blaming the market or others – You are responsible for every trade. Take ownership. 🔍 Choosing a Broker/Platform • Regulation is crucial – Ensure they are licensed by a reputable authority (FCA, SEC, ASIC, etc.). • Understand all fees – Spreads, commissions, overnight financing, withdrawal fees. • Test customer support – You need them in a crisis. • Start with a well-known, established broker – Avoid obscure platforms with offers that seem too good. 💡 Final Wisdom • Preservation of capital is more important than making profits. Survive to trade another day. • The market will always be there – Missing an opportunity is better than taking a bad trade. • Trading is a marathon of consistency, not a sprint for mega-returns. • If you're consistently losing, stop, step back, and re-evaluate. Sometimes the best trade is no trade. Remember, approximately 90% of retail traders lose money. To be in the successful 10%, you need discipline, continuous learning, and emotional control more than a "perfect" strategy. Good luck.
Indikator Pine Script®
oleh Palpiptaste
EstongA* Bot Alerts ProV1*Here’s a consolidated list of warnings and advice for traders, whether you're just starting or are experienced: ⚠️ Critical Warnings 1. You can lose all your capital – Trading is not a get-rich-quick scheme. Never trade with money you can’t afford to lose. 2. Avoid leverage until you fully understand it – Leverage amplifies both gains and losses. Many traders get wiped out by over-leveraging. 3. Beware of "guaranteed profit" systems – If it sounds too good to be true, it is. No strategy works all the time. 4. Emotional trading is a career killer – Fear, greed, and revenge trading destroy accounts. 5. Don’t follow tips or "hot leads" blindly – Do your own analysis. Many influencers are secretly unloading positions onto followers. 📚 Essential Advice Mindset & Psychology • Treat trading like a business, not gambling. Have a plan for every trade. • Develop patience – Wait for high-probability setups; don’t force trades. • Accept losses as part of the game – Even the best traders have losing streaks. The key is risk management. • Keep a trading journal – Record every trade: entry/exit reasoning, emotional state, outcome. Review weekly. Risk Management (Non-Negotiable) • Risk only 1-2% of your capital per trade – This protects you from ruin during a losing streak. • Always use stop-losses – Decide your stop-loss BEFORE entering a trade. • Never add to a losing position ("averaging down") – This is how small losses become catastrophes. • Have a risk/reward ratio of at least 1:2 – Aim for potential profit to be at least double your potential loss. Strategy & Education • Master one market/strategy at a time – Don’t jump between forex, stocks, crypto, and options simultaneously. • Backtest and forward-test any strategy before using real money. • Understand market context – Are you in a trending or ranging market? Adjust your strategy accordingly. • Continuously educate yourself – Markets evolve. Stay updated, but avoid constantly switching strategies. Practical Habits • Start with a demo account – Prove you can be consistently profitable before using real money. • When moving to real money, start small – The psychology changes with real money on the line. • Set trading hours and stick to them – Avoid overtrading and burnout. • Regularly withdraw profits – Secure gains and reinforce the reality of your earnings. 🚨 Red Flags in Yourself • Chasing losses – Trying to immediately recoup a loss leads to bigger losses. • Overconfidence after wins – Leads to taking oversized, reckless trades. • Ignoring your trading plan – If you’re making exceptions, you don’t have a plan. • Blaming the market or others – You are responsible for every trade. Take ownership. 🔍 Choosing a Broker/Platform • Regulation is crucial – Ensure they are licensed by a reputable authority (FCA, SEC, ASIC, etc.). • Understand all fees – Spreads, commissions, overnight financing, withdrawal fees. • Test customer support – You need them in a crisis. • Start with a well-known, established broker – Avoid obscure platforms with offers that seem too good. 💡 Final Wisdom • Preservation of capital is more important than making profits. Survive to trade another day. • The market will always be there – Missing an opportunity is better than taking a bad trade. • Trading is a marathon of consistency, not a sprint for mega-returns. • If you're consistently losing, stop, step back, and re-evaluate. Sometimes the best trade is no trade. Remember, approximately 90% of retail traders lose money. To be in the successful 10%, you need discipline, continuous learning, and emotional control more than a "perfect" strategy. Good luck.
Indikator Pine Script®
oleh Palpiptaste
EstongA* Bot Alerts ProV1*Here’s a consolidated list of warnings and advice for traders, whether you're just starting or are experienced: ⚠️ Critical Warnings 1. You can lose all your capital – Trading is not a get-rich-quick scheme. Never trade with money you can’t afford to lose. 2. Avoid leverage until you fully understand it – Leverage amplifies both gains and losses. Many traders get wiped out by over-leveraging. 3. Beware of "guaranteed profit" systems – If it sounds too good to be true, it is. No strategy works all the time. 4. Emotional trading is a career killer – Fear, greed, and revenge trading destroy accounts. 5. Don’t follow tips or "hot leads" blindly – Do your own analysis. Many influencers are secretly unloading positions onto followers. 📚 Essential Advice Mindset & Psychology • Treat trading like a business, not gambling. Have a plan for every trade. • Develop patience – Wait for high-probability setups; don’t force trades. • Accept losses as part of the game – Even the best traders have losing streaks. The key is risk management. • Keep a trading journal – Record every trade: entry/exit reasoning, emotional state, outcome. Review weekly. Risk Management (Non-Negotiable) • Risk only 1-2% of your capital per trade – This protects you from ruin during a losing streak. • Always use stop-losses – Decide your stop-loss BEFORE entering a trade. • Never add to a losing position ("averaging down") – This is how small losses become catastrophes. • Have a risk/reward ratio of at least 1:2 – Aim for potential profit to be at least double your potential loss. Strategy & Education • Master one market/strategy at a time – Don’t jump between forex, stocks, crypto, and options simultaneously. • Backtest and forward-test any strategy before using real money. • Understand market context – Are you in a trending or ranging market? Adjust your strategy accordingly. • Continuously educate yourself – Markets evolve. Stay updated, but avoid constantly switching strategies. Practical Habits • Start with a demo account – Prove you can be consistently profitable before using real money. • When moving to real money, start small – The psychology changes with real money on the line. • Set trading hours and stick to them – Avoid overtrading and burnout. • Regularly withdraw profits – Secure gains and reinforce the reality of your earnings. 🚨 Red Flags in Yourself • Chasing losses – Trying to immediately recoup a loss leads to bigger losses. • Overconfidence after wins – Leads to taking oversized, reckless trades. • Ignoring your trading plan – If you’re making exceptions, you don’t have a plan. • Blaming the market or others – You are responsible for every trade. Take ownership. 🔍 Choosing a Broker/Platform • Regulation is crucial – Ensure they are licensed by a reputable authority (FCA, SEC, ASIC, etc.). • Understand all fees – Spreads, commissions, overnight financing, withdrawal fees. • Test customer support – You need them in a crisis. • Start with a well-known, established broker – Avoid obscure platforms with offers that seem too good. 💡 Final Wisdom • Preservation of capital is more important than making profits. Survive to trade another day. • The market will always be there – Missing an opportunity is better than taking a bad trade. • Trading is a marathon of consistency, not a sprint for mega-returns. • If you're consistently losing, stop, step back, and re-evaluate. Sometimes the best trade is no trade. Remember, approximately 90% of retail traders lose money. To be in the successful 10%, you need discipline, continuous learning, and emotional control more than a "perfect" strategy. Good luck.
Indikator Pine Script®
oleh Palpiptaste
EMA Pullback & Dual Crossover Pro Strategy,EMA Pullback & Dual Crossover Pro Strategy, (EMA 20 / 50 / 200 Trend-Based System) 🔍 Strategy Overview The EMA Pullback & Dual Crossover Pro Strategy is a trend-following and trend-reversal trading system designed to capture high-probability entries while filtering out low-quality trades during market noise. The strategy combines: Trend continuation trades using EMA 20/50 pullbacks Major trend reversal trades using EMA 20/200 crossovers A smart EMA 200 trend filter is applied only to pullback trades, ensuring trades align with the dominant market direction. This hybrid approach allows the strategy to perform well in: Strong trending markets Early trend reversals Controlled pullback environments 📐 Indicators Used Indicator Purpose EMA 20 Fast momentum & entry timing EMA 50 Pullback structure EMA 200 Long-term trend direction 🧠 Strategy Logic Breakdown 1️⃣ Trend Definition (EMA 200) The EMA 200 defines the dominant market trend: Bullish Trend → Price above EMA 200 Bearish Trend → Price below EMA 200 This trend filter is only applied to EMA 20/50 trades. 2️⃣ EMA 20 / 50 Pullback Trades (Trend Continuation) These trades capture pullbacks within an existing trend. 🔼 BUY Conditions (20/50 Pullback) EMA 20 crosses above EMA 50 Price is above EMA 200 Close confirms above EMA 20 Trade triggers after confirmation bars 🔽 SELL Conditions (20/50 Pullback) EMA 20 crosses below EMA 50 Price is below EMA 200 Close confirms below EMA 20 Trade triggers after confirmation bars 🛑 Counter-trend 20/50 trades are blocked automatically. 3️⃣ EMA 20 / 200 Crossover Trades (Trend Reversal) These trades capture major market reversals and breakouts. 🔼 BUY Conditions (20/200 Crossover) EMA 20 crosses above EMA 200 Close confirms above EMA 20 🔽 SELL Conditions (20/200 Crossover) EMA 20 crosses below EMA 200 Close confirms below EMA 20 🚀 These trades are not trend-filtered to allow early participation in new trends. ⏱ Confirmation Logic To reduce false signals: Entries are triggered only after confirmation bars Price must close in the direction of the trade Prevents wick-based and noise-induced entries ⚙️ Strategy Settings Parameter Description EMA 20 / 50 / 200 Adjustable lengths Confirmation Bars Signal validation Enable 20/50 Trades Toggle pullback trades Enable 20/200 Trades Toggle reversal trades EMA 200 Trend Filter Applies to 20/50 only 🎯 Trade Types Summary Trade Type Purpose Trend Filter EMA 20/50 Trend continuation (pullback) ✅ Yes EMA 20/200 Trend reversal / breakout ❌ No 📊 Best Use Cases Markets: XAUUSD, Indices, Major Forex Pairs Timeframes: M5, M15, H1 Market Conditions: Trending & breakout environments ⚠️ Risk Disclaimer This strategy is designed for systematic trading and should be used with: Proper risk management Fixed position sizing Stop-loss rules defined by the trader Backtesting and forward testing are strongly recommended before live deployment. 🧩 Final Notes This strategy is structured like a professional institutional system: One engine captures trend pullbacks One engine captures trend shifts Noise is filtered using EMA structure and confirmations It is not a scalping bot, but a trend-aligned trading framework suitable for disciplined traders.
Strategi Pine Script®
oleh Nielesh
OrangePulse v3.0 Lite - Educational DCA StrategyThis open-source script is a simplified version of the OrangePulse algorithm, designed for educational purposes to demonstrate the power of Dollar Cost Averaging (DCA) and Mean Reversion. 📈 Strategy Logic: The script uses a combination of Bollinger Bands and RSI (Relative Strength Index) to identify potential mean reversion opportunities. - Entry: Triggered when price pushes below the lower Bollinger Band while RSI is in oversold territory. - Management: Utilizes up to 3 Safety Orders (DCA) to improve the average entry price during pullbacks. 🎯 Features: • Customizable Volume Scale and Step Scale for Safety Orders. • Visual AVG price line and TP/SL levels. • Time-window filter for backtesting. • Real-time Status Table for position monitoring. This script is shared in the spirit of open-source development on TradingView. It is intended to help traders understand how automated position building and risk management work in volatile markets. Check my profile status/bio for more information on our project. ⚠️ Disclaimer: For educational purposes only. Past performance does not guarantee future results.
Strategi Pine Script®
oleh OrangePulse
TradingHelperLibLibrary "TradingHelperLib" Trading Helper Library - Limit order, pip calculation and utility functions for trading bots f_pipValue()   Calculates pip value based on symbol info   Returns: Pip value f_pipsToPrice(pips)   Converts pip count to price difference   Parameters:      pips (float) : Number of pips   Returns: Price difference calcExpireBarCount(minutesToExpire)   Converts minutes to bar count based on timeframe   Parameters:      minutesToExpire (float) : Duration in minutes   Returns: Bar count calcLimitPrice(isLong, signalPrice, deviation, deviationType)   Calculates limit order price with deviation   Parameters:      isLong (bool) : True for long, false for short      signalPrice (float) : Signal price      deviation (float) : Deviation amount      deviationType (string) : Deviation type ("USDT" or "%")   Returns: Limit price checkLimitFill(isLong, limitPrice)   Checks if limit order is filled   Parameters:      isLong (bool) : True for long, false for short      limitPrice (float) : Limit price to check   Returns: True if filled f_multiplier(lvl, mode)   Calculates DCA multiplier based on level and mode   Parameters:      lvl (int) : DCA level      mode (string) : Multiplier mode ("Sabit", "Fibonacci", "Martingale", etc.)   Returns: Multiplier value f_pctToPrice(pct, basePrice)   Converts percentage value to price difference   Parameters:      pct (float) : Percentage value (e.g. 2.0 = 2%)      basePrice (float) : Reference price   Returns: Price difference f_priceChange_toPct(priceChange, basePrice)   Converts price change to percentage   Parameters:      priceChange (float) : Price difference      basePrice (float) : Reference price   Returns: Percentage value calcMargin(notional, leverage)   Calculates margin from notional value   Parameters:      notional (float) : Trade size (e.g. $1000)      leverage (int) : Leverage value (e.g. 100)   Returns: Margin value calcNotional(margin, leverage)   Calculates notional from margin   Parameters:      margin (float) : Collateral value      leverage (int) : Leverage value   Returns: Notional value calcLiqPriceLongSimple(avgPrice, leverage)   Calculates simple liquidation price for Long position   Parameters:      avgPrice (float) : Average entry price      leverage (int) : Leverage value   Returns: Estimated liquidation price calcLiqPriceShortSimple(avgPrice, leverage)   Calculates simple liquidation price for Short position   Parameters:      avgPrice (float) : Average entry price      leverage (int) : Leverage value   Returns: Estimated liquidation price calcPnlLong(entryPrice, currentPrice, notional)   Calculates Long position PNL   Parameters:      entryPrice (float) : Entry price      currentPrice (float) : Current price      notional (float) : Position size   Returns: PNL value calcPnlShort(entryPrice, currentPrice, notional)   Calculates Short position PNL   Parameters:      entryPrice (float) : Entry price      currentPrice (float) : Current price      notional (float) : Position size   Returns: PNL value calcFee(notional, feeRate)   Calculates trading fee   Parameters:      notional (float) : Trade size      feeRate (float) : Fee rate in percentage (e.g. 0.1 = 0.1%)   Returns: Fee value
Perpustakaan Pine Script®
oleh SwSpace
Market State Engine V2# Market State Engine **Deterministic Confidence-Scoring System for TradingView** A professional-grade PineScript v5 indicator that scores market conditions from 0-100, helping traders identify high-quality trading opportunities through systematic structure analysis, VWAP positioning, order flow dynamics, and time-based context. --- ## 🎯 Overview The **Market State Engine** is not a trading bot—it's a **noise-reduction and opportunity-ranking system** designed to filter market conditions and surface only the highest-quality setups. Instead of blindly taking every signal, this indicator: - ✅ **Scores** market conditions objectively (0-100 scale) - ✅ **Filters** out low-probability setups automatically - ✅ **Classifies** opportunities into A, A+, and A++ grades - ✅ **Alerts** only on confirmed structure shifts with supporting context - ✅ **Keeps the human in control** - provides intelligence, not automation ### Philosophy: Reduce Noise. Enforce Discipline. Surface Quality. --- ## 🚀 Key Features - **Deterministic Scoring** - No black boxes, fully explainable logic - **Multi-Factor Analysis** - Combines 4 independent market state components - **Structure-First Approach** - Only alerts on confirmed pivot breaks - **VWAP Mean Reversion Logic** - Directional filtering based on VWAP zones - **Order Flow Proxy** - CVD divergence and confirmation detection - **Session-Aware Scoring** - Prioritizes high-volume New York sessions - **Alert De-Duplication** - One alert per unique structure shift - **Zero Repainting** - Uses confirmed pivots only (left=2, right=2) - **Fully Configurable** - All parameters exposed as inputs - **Visual Feedback** - VWAP bands, setup labels, and real-time score panel --- ## 📊 Scoring System (0-100) The Market State Engine evaluates **four independent components**, each contributing up to **25 points** for a maximum total score of **100**. ### 🎯 Component Breakdown | Component | Max Points | Description | |-----------|------------|-------------| | **VWAP Context** | 25 | Measures price deviation from session VWAP | | **Structure Shift** | 25 | Confirms pivot breakout (HARD GATE) | | **CVD Alignment** | 25 | Detects order flow divergence/confirmation | | **Time-of-Day** | 25 | Identifies high-probability trading sessions | --- ### 1️⃣ VWAP Context (Max 25 Points) **Purpose:** Identifies extreme price deviations from fair value for mean-reversion opportunities. VWAP (Volume-Weighted Average Price) is calculated session-anchored to New York market time, with standard deviation bands creating zones of opportunity. #### Band Structure: - **1st Band**: ±1σ from VWAP (fair value zone) - **2nd Band**: ±2σ from VWAP (moderate deviation) - **3rd Band**: ±3σ from VWAP (extreme deviation) #### Scoring Logic (Exclusive): ``` Price in 3rd VWAP Band (>2σ and ≤3σ) → +25 points Price in 2nd VWAP Band (>1σ and ≤2σ) → +15 points Otherwise (inside 1σ or beyond 3σ) → 0 points ``` **Key Insight:** The further price stretches from VWAP, the higher the probability of mean reversion. --- ### 2️⃣ Structure Shift (Max 25 Points) — **HARD GATE** **Purpose:** Confirms momentum shift through confirmed pivot breakouts. ⚠️ **CRITICAL:** Structure shift is **mandatory**. If no valid structure shift occurs, the **total score becomes 0** regardless of other factors. #### Detection Method: Uses TradingView's `ta.pivothigh()` and `ta.pivotlow()` functions with **locked parameters**: - **Left bars**: 2 - **Right bars**: 2 - **Source**: Configurable (Wick or Body) - **Break confirmation**: Candle close only #### Bullish Structure Shift: - ✅ Prior swing high exists (confirmed pivot) - ✅ Current candle **closes above** swing high + tick buffer - ✅ Must occur in VWAP 2nd or 3rd band - ✅ **VWAP Filter**: Price must be **at or below VWAP** (lower bands) #### Bearish Structure Shift: - ✅ Prior swing low exists (confirmed pivot) - ✅ Current candle **closes below** swing low - tick buffer - ✅ Must occur in VWAP 2nd or 3rd band - ✅ **VWAP Filter**: Price must be **at or above VWAP** (upper bands) #### Scoring: ``` Valid structure shift → +25 points No structure shift → Total score = 0 ``` **Tick Buffer:** Default 5 ticks (configurable) - prevents false breaks from minor price noise. --- ### 3️⃣ CVD Alignment (Max 25 Points) **Purpose:** Detects institutional order flow through volume delta analysis. CVD (Cumulative Volume Delta) is a proxy for order flow: ``` Close > Open → +Volume (buying pressure) Close < Open → -Volume (selling pressure) ``` #### Scoring Logic: | Condition | Points | Description | |-----------|--------|-------------| | **Divergence** | +25 | Price makes higher high + CVD makes lower high (bearish)Price makes lower low + CVD makes higher low (bullish) | | **Confirmation** | +20 | Price and CVD both make higher highs or lower lows | | **Neutral** | 0 | No clear divergence or confirmation | **Lookback Window:** Last 20 bars (configurable) - prevents stale divergences. **Key Insight:** Divergences suggest weakening momentum, while confirmations validate the trend. --- ### 4️⃣ Time-of-Day Context (Max 25 Points) **Purpose:** Prioritizes high-volume, high-volatility New York sessions. #### Scored Sessions (America/New_York timezone): | Session | Time Range (NY) | Points | Description | |---------|-----------------|--------|-------------| | **Pre-Market** | 03:00 - 04:00 | +25 | Early liquidity injection | | **Market Open** | 09:30 - 11:30 | +25 | Highest volume period | | **Off-Hours** | All other times | 0 | Lower probability setups | **Key Insight:** Structure shifts during active sessions have higher follow-through probability. --- ## 🏆 Setup Classification Setups are graded based on total score thresholds (configurable): | Grade | Score Range | Typical Components | Quality Level | |-------|-------------|-------------------|---------------| | **A++ Setup** | ≥90 | All 4 factors aligned(VWAP 3rd band + Structure + CVD + Session) | Premium - Rare | | **A+ Setup** | ≥75 | Structure + VWAP + CVD or Session(3 of 4 factors) | High - Select | | **A Setup** | ≥60 | Structure + VWAP + Session(Minimum viable setup) | Good - Regular | | **No Grade** | <60 | Insufficient confluence | Filtered out | **Default Thresholds:** - A Setup: 60 points - A+ Setup: 75 points - A++ Setup: 90 points --- ## 📥 Installation ### Step 1: Download the Indicator Download the `market_state_engine.pine` file from this repository. ### Step 2: Add to TradingView 1. Open (www.tradingview.com) 2. Open the **Pine Editor** (bottom panel) 3. Click **"New"** → **"Blank indicator"** 4. Delete all default code 5. Paste the contents of `market_state_engine.pine` 6. Click **"Add to Chart"** ### Step 3: Configure for Your Symbol 1. Click the **gear icon** next to the indicator name 2. Adjust **Tick Size** for your instrument: - ES futures: `0.25` - NQ futures: `0.25` - Stocks: `0.01` 3. Save settings --- ## ⚙️ Configuration ### Symbol Settings | Parameter | Default | Description | |-----------|---------|-------------| | **Tick Size** | 0.25 | Minimum price movement for your symbol | | **Tick Buffer Count** | 5 | Ticks beyond swing for valid break | ### VWAP Settings | Parameter | Default | Description | |-----------|---------|-------------| | **VWAP Band 1 (σ)** | 1.0 | 1st standard deviation multiplier | | **VWAP Band 2 (σ)** | 2.0 | 2nd standard deviation multiplier | | **VWAP Band 3 (σ)** | 3.0 | 3rd standard deviation multiplier | ### Session Settings | Parameter | Default | Description | |-----------|---------|-------------| | **Session 1** | 0300-0400 | Pre-market window (NY time) | | **Session 2** | 0930-1130 | Market open window (NY time) | ### Score Thresholds | Parameter | Default | Description | |-----------|---------|-------------| | **A Setup Threshold** | 60 | Minimum score for A grade | | **A+ Setup Threshold** | 75 | Minimum score for A+ grade | | **A++ Setup Threshold** | 90 | Minimum score for A++ grade | ### CVD Settings | Parameter | Default | Description | |-----------|---------|-------------| | **CVD Divergence Lookback** | 20 | Maximum bars for divergence detection | ### Swing Settings | Parameter | Default | Options | Description | |-----------|---------|---------|-------------| | **Swing Detection Method** | Wick | Wick / Body | Use high/low or open/close for pivots | ### Visual Settings | Parameter | Default | Description | |-----------|---------|-------------| | **Show VWAP Bands** | ✅ | Display VWAP and standard deviation bands | | **Show Setup Labels** | ✅ | Display setup markers on chart | | **Show Score Panel** | ✅ | Display real-time score breakdown | --- ## 📖 How to Use ### Step 1: Apply to 1-Minute Chart ⚠️ **The indicator is locked to 1-minute timeframe** - do not use on other timeframes. ### Step 2: Understand the Visual Signals #### Setup Labels - **Green Triangle (▲)** - Bullish (Long) setup detected - **Red Triangle (▼)** - Bearish (Short) setup detected - Label shows **Grade** (A/A+/A++) and **Total Score** #### VWAP Bands - **Yellow Line** - Session VWAP (fair value) - **Blue Bands** - ±1σ (fair value zone) - **Purple Bands** - ±2σ (moderate deviation) - **Red Bands** - ±3σ (extreme deviation) #### Score Panel (Top Right) Real-time breakdown of all four components: ``` Component Score VWAP Zone 15/25 Structure 25/25 CVD 20/25 Session 25/25 TOTAL 85/100 (A+) ``` ### Step 3: Interpret Signals #### Valid Long Setup: ✅ Green triangle below candle ✅ Price in **lower VWAP bands** (below VWAP) ✅ Structure shift breaks swing high ✅ Score ≥60 #### Valid Short Setup: ✅ Red triangle above candle ✅ Price in **upper VWAP bands** (above VWAP) ✅ Structure shift breaks swing low ✅ Score ≥60 ### Step 4: Set Up Alerts (See Alert Conditions section) --- ## 🚦 Signal Filters (VWAP Zone Logic) The indicator uses **directional VWAP filtering** to prevent counter-trend signals: ### Long Signals (Green) **Only allowed when price is AT or BELOW VWAP** - ✅ Lower 2nd band (-2σ to -1σ) - ✅ Lower 3rd band (-3σ to -2σ) - ✅ At VWAP exactly - ❌ **BLOCKED** in upper bands (above VWAP) **Logic:** Longs when price is stretched below fair value (mean reversion) ### Short Signals (Red) **Only allowed when price is AT or ABOVE VWAP** - ✅ Upper 2nd band (+1σ to +2σ) - ✅ Upper 3rd band (+2σ to +3σ) - ✅ At VWAP exactly - ❌ **BLOCKED** in lower bands (below VWAP) **Logic:** Shorts when price is stretched above fair value (mean reversion) --- ## 🎨 Visual Elements ### Chart Overlays | Element | Color | Description | |---------|-------|-------------| | **VWAP Line** | Yellow | Session-anchored fair value | | **±1σ Bands** | Blue | Fair value zone (no score) | | **±2σ Bands** | Purple | Moderate deviation (15 pts) | | **±3σ Bands** | Red | Extreme deviation (25 pts) | | **Swing Highs** | Red ▼ | Confirmed pivot highs | | **Swing Lows** | Green ▲ | Confirmed pivot lows | | **Session Background** | Light Green | Active high-value session | ### Setup Labels **Bullish Setup:** ``` A+ ▲ 75 ``` Green label below candle, shows grade and score **Bearish Setup:** ``` A++ ▼ 90 ``` Red label above candle, shows grade and score ### Score Panel Real-time table in top-right corner: - Individual component scores (0-25 each) - Total score (0-100) - Current setup grade (A/A+/A++) - Updates in real-time as market conditions change --- ## 🔔 Alert Conditions ### Setting Up Alerts #### Method 1: Built-in Alert Conditions 1. Click **"Create Alert"** in TradingView 2. Select **Market State Engine** as condition 3. Choose alert type: - **Bullish Setup** - Long signals only - **Bearish Setup** - Short signals only - **Any Setup** - All signals 4. Set to **"Once Per Bar Close"** 5. Configure notification method (app, email, webhook) #### Method 2: Custom Alert Message Alert messages include full breakdown: ``` A+ Setup Detected (Score: 85) Components: VWAP(25) + Structure(25) + CVD(20) + Time(15) CVD State: Confirmation Direction: Long Timeframe: 1m ``` ### Alert Behavior ✅ **One alert per unique pivot break** - no spam ✅ **Fires on candle close only** - no repainting ✅ **Minimum score filter** - only A grade or higher (≥60) ✅ **Direction-specific** - separate bullish/bearish conditions ⚠️ **No cooldown between different pivots** - multiple alerts per session allowed if different swing levels break --- ## 🔧 Technical Details ### Timeframe Lock - **Required**: 1-minute chart only - **Reason**: Scoring model calibrated for 1m micro-structure - **Future**: Multi-timeframe support planned for v2 ### Timezone Configuration - **Hard-coded**: `America/New_York` - **Session Detection**: Uses TradingView's native session functions - **Consistency**: All time-based logic uses NY timezone ### Swing Detection Parameters **Locked to specification:** - `ta.pivothigh(source, left=2, right=2)` - `ta.pivotlow(source, left=2, right=2)` **Implications:** - Pivots confirmed 2 bars after formation - No repainting - historical pivots don't move - 4-bar minimum swing structure (2 left + pivot + 2 right) ### VWAP Calculation - **Type**: Session-anchored (resets daily) - **Source**: Typical price `(high + low + close) / 3` - **Weighting**: Volume-weighted - **Standard Deviation**: True population standard deviation ### CVD Proxy Formula ```pine barDelta = close > open ? volume : close < open ? -volume : 0 CVD = cumulative sum of barDelta (session-reset) ``` ### Performance Limits - **Max Labels**: 500 (TradingView limit) - **Max Bars Back**: 500 - **Memory**: Lightweight - uses only essential variables --- ## 💡 Best Practices ### 1. **Use as a Filter, Not a Strategy** ❌ Don't: Blindly take every signal ✅ Do: Use score as confluence for your existing analysis ### 2. **Higher Grades = Better Probability** - **A Setups (60-74)**: Regular opportunities, still require discretion - **A+ Setups (75-89)**: High-quality, multiple factors aligned - **A++ Setups (90-100)**: Rare premium opportunities, strongest edge ### 3. **Respect the VWAP Zone Filter** The indicator **automatically blocks**: - Longs in upper VWAP bands (counter-trend) - Shorts in lower VWAP bands (counter-trend) Trust this logic - it enforces mean reversion discipline. ### 4. **Monitor the Score Panel** Watch which components are scoring to understand **why** a setup formed: - Missing CVD score? → No order flow confirmation - Missing Time score? → Outside high-volume sessions - Low VWAP score? → Weak deviation from fair value ### 5. **Combine with Risk Management** The indicator provides **opportunity scoring**, not position sizing: - Use stop losses based on swing structure - Scale position size with setup grade (larger on A++, smaller on A) - Set profit targets at VWAP or opposing band ### 6. **Session Awareness** Prioritize signals during **active sessions**: - **03:00-04:00 NY**: Pre-market momentum - **09:30-11:30 NY**: Highest volume, tightest spreads Off-hours signals (0 time score) are lower probability but still valid if other factors strong. ### 7. **Understand the Hard Gate** If **no structure shift** occurs: - Total score = 0 - No alerts fire - Other components irrelevant **Why?** Structure shift confirms momentum change - without it, there's no tradable opportunity. ### 8. **Avoid Over-Optimization** Default settings are well-calibrated: - Don't chase "perfect" parameters - Test changes on historical data before live use - Document any modifications ### 9. **Leverage Alert De-Duplication** The indicator prevents spam automatically: - One alert per unique swing break - New swing levels = new alerts - No need to manually filter notifications ### 10. **Supplement with Price Action** Use the indicator alongside: - Support/resistance levels - Order flow footprint charts - Volume profile - Market internals (breadth, TICK, etc.) --- ## 📚 Example Scenarios ### Example 1: A++ Premium Setup (Score: 95) ``` Price: In lower 3rd VWAP band (-2.8σ) → VWAP: 25 pts Structure: Close breaks swing high → Structure: 25 pts CVD: Price LL + CVD HL (bullish div) → CVD: 25 pts Time: 10:15 AM NY (market open) → Time: 25 pts Direction: LONG (price below VWAP) → Valid Grade: A++ (95/100) ``` **Interpretation:** All factors aligned - premium mean-reversion long opportunity. --- ### Example 2: A+ Strong Setup (Score: 80) ``` Price: In upper 2nd VWAP band (+1.5σ) → VWAP: 15 pts Structure: Close breaks swing low → Structure: 25 pts CVD: Price HH + CVD LH (bearish div) → CVD: 25 pts Time: 2:00 PM NY (off-hours) → Time: 0 pts Direction: SHORT (price above VWAP) → Valid Grade: A+ (65/100) ``` **Interpretation:** Strong setup despite off-hours, bearish divergence adds confidence. --- ### Example 3: Filtered Setup (Score: 0) ``` Price: In upper 3rd VWAP band (+2.5σ) → VWAP: 25 pts (if allowed) Structure: Close breaks swing high → Structure: BLOCKED CVD: Price HH + CVD HH (confirmation) → CVD: 20 pts (if allowed) Time: 10:00 AM NY → Time: 25 pts (if allowed) Direction: LONG (price ABOVE VWAP) → ❌ INVALID ZONE Grade: None (0/100) - NO ALERT ``` **Interpretation:** VWAP filter blocked long signal in upper band - prevents counter-trend trade. --- ## 🛠️ Troubleshooting ### No Signals Appearing - ✅ Verify you're on **1-minute chart** - ✅ Check **Tick Size** matches your symbol - ✅ Ensure **VWAP Bands** are visible - ✅ Wait for confirmed pivots (requires at least 5 bars of history) ### Alerts Not Firing - ✅ Confirm alert is set to **"Once Per Bar Close"** - ✅ Check score threshold (must be ≥60 by default) - ✅ Verify VWAP zone filter isn't blocking signals - ✅ Check that structure shift is actually occurring ### Score Always Zero - ✅ No structure shift detected (hard gate active) - ✅ Price may not be in valid VWAP zone (2nd or 3rd band) - ✅ Insufficient swing history (wait for pivots to form) ### Too Many/Too Few Signals **Too many signals:** - Increase **A Setup Threshold** (e.g., 70 instead of 60) - Increase **Tick Buffer Count** (reduces false breaks) **Too few signals:** - Decrease **A Setup Threshold** (e.g., 50 instead of 60) - Decrease **Tick Buffer Count** (more sensitive to breaks) --- ## 📜 License This indicator is provided under the **Mozilla Public License 2.0**. --- ## 🤝 Credits Developed as a professional trading tool for systematic opportunity identification. **Philosophy:** Reduce noise. Enforce discipline. Keep the human in control. --- ## 📞 Support For questions, issues, or feature requests, please consult: 1. This README documentation 2. The specification document (`pinescript_market_state_engine_spec.docx`) 3. Inline code comments in `market_state_engine.pine` --- ## 🔄 Version History **v1.0** (Current) - Initial release - 4-component scoring model (VWAP + Structure + CVD + Time) - VWAP zone directional filtering - Alert de-duplication - Configurable inputs - Real-time score panel - Session-aware logic --- ## 🎓 Understanding the Numbers ### Quick Reference Card | Score Range | Grade | Quality | Typical Use | |-------------|-------|---------|-------------| | 90-100 | A++ | Premium | Highest conviction trades | | 75-89 | A+ | High | Strong probability setups | | 60-74 | A | Good | Acceptable with discretion | | 0-59 | None | Filtered | Skip or wait for confluence | ### Component Contribution Examples **Minimum A Setup (60 points):** - Structure (25) + VWAP 3rd band (25) + Time (25) = 75 ✅ **Typical A+ Setup (75 points):** - Structure (25) + VWAP 2nd band (15) + CVD confirm (20) + Time (25) = 85 ✅ **Maximum A++ Setup (100 points):** - Structure (25) + VWAP 3rd band (25) + CVD divergence (25) + Time (25) = 100 ✅ --- ## 🎯 Final Reminder **This is NOT a trading bot.** **This is NOT financial advice.** **This is a decision-support tool.** Always: - ✅ Use proper risk management - ✅ Understand the logic before trading - ✅ Backtest on your symbols - ✅ Keep the human in control **Happy Trading! 📈**
Indikator Pine Script®
oleh TC_BE
TRIZONACCI_Mean reversal_signalsMarket State Engine Deterministic Confidence-Scoring System for TradingView A professional-grade PineScript v5 indicator that scores market conditions from 0-100, helping traders identify high-quality trading opportunities through systematic structure analysis, VWAP positioning, order flow dynamics, and time-based context. 🎯 Overview The Market State Engine is not a trading bot—it's a noise-reduction and opportunity-ranking system designed to filter market conditions and surface only the highest-quality setups. Instead of blindly taking every signal, this indicator: ✅ Scores market conditions objectively (0-100 scale) ✅ Filters out low-probability setups automatically ✅ Classifies opportunities into A, A+, and A++ grades ✅ Alerts only on confirmed structure shifts with supporting context ✅ Keeps the human in control - provides intelligence, not automation Philosophy: Reduce Noise. Enforce Discipline. Surface Quality. 🚀 Key Features Deterministic Scoring - No black boxes, fully explainable logic Multi-Factor Analysis - Combines 4 independent market state components Structure-First Approach - Only alerts on confirmed pivot breaks VWAP Mean Reversion Logic - Directional filtering based on VWAP zones Order Flow Proxy - CVD divergence and confirmation detection Session-Aware Scoring - Prioritizes high-volume New York sessions Alert De-Duplication - One alert per unique structure shift Zero Repainting - Uses confirmed pivots only (left=2, right=2) Fully Configurable - All parameters exposed as inputs Visual Feedback - VWAP bands, setup labels, and real-time score panel 📊 Scoring System (0-100) The Market State Engine evaluates four independent components, each contributing up to 25 points for a maximum total score of 100. 🎯 Component Breakdown Component Max Points Description VWAP Context 25 Measures price deviation from session VWAP Structure Shift 25 Confirms pivot breakout (HARD GATE) CVD Alignment 25 Detects order flow divergence/confirmation Time-of-Day 25 Identifies high-probability trading sessions 1️⃣ VWAP Context (Max 25 Points) Purpose: Identifies extreme price deviations from fair value for mean-reversion opportunities. VWAP (Volume-Weighted Average Price) is calculated session-anchored to New York market time, with standard deviation bands creating zones of opportunity. Band Structure: 1st Band: ±1σ from VWAP (fair value zone) 2nd Band: ±2σ from VWAP (moderate deviation) 3rd Band: ±3σ from VWAP (extreme deviation) Scoring Logic (Exclusive): Price in 3rd VWAP Band (>2σ and ≤3σ) → +25 points Price in 2nd VWAP Band (>1σ and ≤2σ) → +15 points Otherwise (inside 1σ or beyond 3σ) → 0 points Key Insight: The further price stretches from VWAP, the higher the probability of mean reversion. 2️⃣ Structure Shift (Max 25 Points) — HARD GATE Purpose: Confirms momentum shift through confirmed pivot breakouts. ⚠️ CRITICAL: Structure shift is mandatory. If no valid structure shift occurs, the total score becomes 0 regardless of other factors. Detection Method: Uses TradingView's ta.pivothigh() and ta.pivotlow() functions with locked parameters: Left bars: 2 Right bars: 2 Source: Configurable (Wick or Body) Break confirmation: Candle close only Bullish Structure Shift: ✅ Prior swing high exists (confirmed pivot) ✅ Current candle closes above swing high + tick buffer ✅ Must occur in VWAP 2nd or 3rd band ✅ VWAP Filter: Price must be at or below VWAP (lower bands) Bearish Structure Shift: ✅ Prior swing low exists (confirmed pivot) ✅ Current candle closes below swing low - tick buffer ✅ Must occur in VWAP 2nd or 3rd band ✅ VWAP Filter: Price must be at or above VWAP (upper bands) Scoring: Valid structure shift → +25 points No structure shift → Total score = 0 Tick Buffer: Default 5 ticks (configurable) - prevents false breaks from minor price noise. 3️⃣ CVD Alignment (Max 25 Points) Purpose: Detects institutional order flow through volume delta analysis. CVD (Cumulative Volume Delta) is a proxy for order flow: Close > Open → +Volume (buying pressure) Close < Open → -Volume (selling pressure) Scoring Logic: Condition Points Description Divergence +25 Price makes higher high + CVD makes lower high (bearish) Price makes lower low + CVD makes higher low (bullish) Confirmation +20 Price and CVD both make higher highs or lower lows Neutral 0 No clear divergence or confirmation Lookback Window: Last 20 bars (configurable) - prevents stale divergences. Key Insight: Divergences suggest weakening momentum, while confirmations validate the trend. 4️⃣ Time-of-Day Context (Max 25 Points) Purpose: Prioritizes high-volume, high-volatility New York sessions. Scored Sessions (America/New_York timezone): Session Time Range (NY) Points Description Pre-Market 03:00 - 04:00 +25 Early liquidity injection Market Open 09:30 - 11:30 +25 Highest volume period Off-Hours All other times 0 Lower probability setups Key Insight: Structure shifts during active sessions have higher follow-through probability. 🏆 Setup Classification Setups are graded based on total score thresholds (configurable): Grade Score Range Typical Components Quality Level A++ Setup ≥90 All 4 factors aligned (VWAP 3rd band + Structure + CVD + Session) Premium - Rare A+ Setup ≥75 Structure + VWAP + CVD or Session (3 of 4 factors) High - Select A Setup ≥60 Structure + VWAP + Session (Minimum viable setup) Good - Regular No Grade <60 Insufficient confluence Filtered out Default Thresholds: A Setup: 60 points A+ Setup: 75 points A++ Setup: 90 points 📥 Installation Step 1: Download the Indicator Download the market_state_engine.pine file from this repository. Step 2: Add to TradingView Open TradingView Open the Pine Editor (bottom panel) Click "New" → "Blank indicator" Delete all default code Paste the contents of market_state_engine.pine Click "Add to Chart" Step 3: Configure for Your Symbol Click the gear icon next to the indicator name Adjust Tick Size for your instrument: ES futures: 0.25 NQ futures: 0.25 Stocks: 0.01 Save settings ⚙️ Configuration Symbol Settings Parameter Default Description Tick Size 0.25 Minimum price movement for your symbol Tick Buffer Count 5 Ticks beyond swing for valid break VWAP Settings Parameter Default Description VWAP Band 1 (σ) 1.0 1st standard deviation multiplier VWAP Band 2 (σ) 2.0 2nd standard deviation multiplier VWAP Band 3 (σ) 3.0 3rd standard deviation multiplier Session Settings Parameter Default Description Session 1 0300-0400 Pre-market window (NY time) Session 2 0930-1130 Market open window (NY time) Score Thresholds Parameter Default Description A Setup Threshold 60 Minimum score for A grade A+ Setup Threshold 75 Minimum score for A+ grade A++ Setup Threshold 90 Minimum score for A++ grade CVD Settings Parameter Default Description CVD Divergence Lookback 20 Maximum bars for divergence detection Swing Settings Parameter Default Options Description Swing Detection Method Wick Wick / Body Use high/low or open/close for pivots Visual Settings Parameter Default Description Show VWAP Bands ✅ Display VWAP and standard deviation bands Show Setup Labels ✅ Display setup markers on chart Show Score Panel ✅ Display real-time score breakdown 📖 How to Use Step 1: Apply to 1-Minute Chart ⚠️ The indicator is locked to 1-minute timeframe - do not use on other timeframes. Step 2: Understand the Visual Signals Setup Labels Green Triangle (▲) - Bullish (Long) setup detected Red Triangle (▼) - Bearish (Short) setup detected Label shows Grade (A/A+/A++) and Total Score VWAP Bands Yellow Line - Session VWAP (fair value) Blue Bands - ±1σ (fair value zone) Purple Bands - ±2σ (moderate deviation) Red Bands - ±3σ (extreme deviation) Score Panel (Top Right) Real-time breakdown of all four components: Component Score VWAP Zone 15/25 Structure 25/25 CVD 20/25 Session 25/25 TOTAL 85/100 (A+) Step 3: Interpret Signals Valid Long Setup: ✅ Green triangle below candle ✅ Price in lower VWAP bands (below VWAP) ✅ Structure shift breaks swing high ✅ Score ≥60 Valid Short Setup: ✅ Red triangle above candle ✅ Price in upper VWAP bands (above VWAP) ✅ Structure shift breaks swing low ✅ Score ≥60 Step 4: Set Up Alerts (See Alert Conditions section) 🚦 Signal Filters (VWAP Zone Logic) The indicator uses directional VWAP filtering to prevent counter-trend signals: Long Signals (Green) Only allowed when price is AT or BELOW VWAP ✅ Lower 2nd band (-2σ to -1σ) ✅ Lower 3rd band (-3σ to -2σ) ✅ At VWAP exactly ❌ BLOCKED in upper bands (above VWAP) Logic: Longs when price is stretched below fair value (mean reversion) Short Signals (Red) Only allowed when price is AT or ABOVE VWAP ✅ Upper 2nd band (+1σ to +2σ) ✅ Upper 3rd band (+2σ to +3σ) ✅ At VWAP exactly ❌ BLOCKED in lower bands (below VWAP) Logic: Shorts when price is stretched above fair value (mean reversion) 🎨 Visual Elements Chart Overlays Element Color Description VWAP Line Yellow Session-anchored fair value ±1σ Bands Blue Fair value zone (no score) ±2σ Bands Purple Moderate deviation (15 pts) ±3σ Bands Red Extreme deviation (25 pts) Swing Highs Red ▼ Confirmed pivot highs Swing Lows Green ▲ Confirmed pivot lows Session Background Light Green Active high-value session Setup Labels Bullish Setup: A+ ▲ 75 Green label below candle, shows grade and score Bearish Setup: A++ ▼ 90 Red label above candle, shows grade and score Score Panel Real-time table in top-right corner: Individual component scores (0-25 each) Total score (0-100) Current setup grade (A/A+/A++) Updates in real-time as market conditions change 🔔 Alert Conditions Setting Up Alerts Method 1: Built-in Alert Conditions Click "Create Alert" in TradingView Select Market State Engine as condition Choose alert type: Bullish Setup - Long signals only Bearish Setup - Short signals only Any Setup - All signals Set to "Once Per Bar Close" Configure notification method (app, email, webhook) Method 2: Custom Alert Message Alert messages include full breakdown: A+ Setup Detected (Score: 85) Components: VWAP(25) + Structure(25) + CVD(20) + Time(15) CVD State: Confirmation Direction: Long Timeframe: 1m Alert Behavior ✅ One alert per unique pivot break - no spam ✅ Fires on candle close only - no repainting ✅ Minimum score filter - only A grade or higher (≥60) ✅ Direction-specific - separate bullish/bearish conditions ⚠️ No cooldown between different pivots - multiple alerts per session allowed if different swing levels break 🔧 Technical Details Timeframe Lock Required: 1-minute chart only Reason: Scoring model calibrated for 1m micro-structure Future: Multi-timeframe support planned for v2 Timezone Configuration Hard-coded: America/New_York Session Detection: Uses TradingView's native session functions Consistency: All time-based logic uses NY timezone Swing Detection Parameters Locked to specification: ta.pivothigh(source, left=2, right=2) ta.pivotlow(source, left=2, right=2) Implications: Pivots confirmed 2 bars after formation No repainting - historical pivots don't move 4-bar minimum swing structure (2 left + pivot + 2 right) VWAP Calculation Type: Session-anchored (resets daily) Source: Typical price (high + low + close) / 3 Weighting: Volume-weighted Standard Deviation: True population standard deviation CVD Proxy Formula barDelta = close > open ? volume : close < open ? -volume : 0 CVD = cumulative sum of barDelta (session-reset) Performance Limits Max Labels: 500 (TradingView limit) Max Bars Back: 500 Memory: Lightweight - uses only essential variables 💡 Best Practices 1. Use as a Filter, Not a Strategy ❌ Don't: Blindly take every signal ✅ Do: Use score as confluence for your existing analysis 2. Higher Grades = Better Probability A Setups (60-74): Regular opportunities, still require discretion A+ Setups (75-89): High-quality, multiple factors aligned A++ Setups (90-100): Rare premium opportunities, strongest edge 3. Respect the VWAP Zone Filter The indicator automatically blocks: Longs in upper VWAP bands (counter-trend) Shorts in lower VWAP bands (counter-trend) Trust this logic - it enforces mean reversion discipline. 4. Monitor the Score Panel Watch which components are scoring to understand why a setup formed: Missing CVD score? → No order flow confirmation Missing Time score? → Outside high-volume sessions Low VWAP score? → Weak deviation from fair value 5. Combine with Risk Management The indicator provides opportunity scoring, not position sizing: Use stop losses based on swing structure Scale position size with setup grade (larger on A++, smaller on A) Set profit targets at VWAP or opposing band 6. Session Awareness Prioritize signals during active sessions: 03:00-04:00 NY: Pre-market momentum 09:30-11:30 NY: Highest volume, tightest spreads Off-hours signals (0 time score) are lower probability but still valid if other factors strong. 7. Understand the Hard Gate If no structure shift occurs: Total score = 0 No alerts fire Other components irrelevant Why? Structure shift confirms momentum change - without it, there's no tradable opportunity. 8. Avoid Over-Optimization Default settings are well-calibrated: Don't chase "perfect" parameters Test changes on historical data before live use Document any modifications 9. Leverage Alert De-Duplication The indicator prevents spam automatically: One alert per unique swing break New swing levels = new alerts No need to manually filter notifications 10. Supplement with Price Action Use the indicator alongside: Support/resistance levels Order flow footprint charts Volume profile Market internals (breadth, TICK, etc.) 📚 Example Scenarios Example 1: A++ Premium Setup (Score: 95) Price: In lower 3rd VWAP band (-2.8σ) → VWAP: 25 pts Structure: Close breaks swing high → Structure: 25 pts CVD: Price LL + CVD HL (bullish div) → CVD: 25 pts Time: 10:15 AM NY (market open) → Time: 25 pts Direction: LONG (price below VWAP) → Valid Grade: A++ (95/100) Interpretation: All factors aligned - premium mean-reversion long opportunity. Example 2: A+ Strong Setup (Score: 80) Price: In upper 2nd VWAP band (+1.5σ) → VWAP: 15 pts Structure: Close breaks swing low → Structure: 25 pts CVD: Price HH + CVD LH (bearish div) → CVD: 25 pts Time: 2:00 PM NY (off-hours) → Time: 0 pts Direction: SHORT (price above VWAP) → Valid Grade: A+ (65/100) Interpretation: Strong setup despite off-hours, bearish divergence adds confidence. Example 3: Filtered Setup (Score: 0) Price: In upper 3rd VWAP band (+2.5σ) → VWAP: 25 pts (if allowed) Structure: Close breaks swing high → Structure: BLOCKED CVD: Price HH + CVD HH (confirmation) → CVD: 20 pts (if allowed) Time: 10:00 AM NY → Time: 25 pts (if allowed) Direction: LONG (price ABOVE VWAP) → ❌ INVALID ZONE Grade: None (0/100) - NO ALERT Interpretation: VWAP filter blocked long signal in upper band - prevents counter-trend trade. 🛠️ Troubleshooting No Signals Appearing ✅ Verify you're on 1-minute chart ✅ Check Tick Size matches your symbol ✅ Ensure VWAP Bands are visible ✅ Wait for confirmed pivots (requires at least 5 bars of history) Alerts Not Firing ✅ Confirm alert is set to "Once Per Bar Close" ✅ Check score threshold (must be ≥60 by default) ✅ Verify VWAP zone filter isn't blocking signals ✅ Check that structure shift is actually occurring Score Always Zero ✅ No structure shift detected (hard gate active) ✅ Price may not be in valid VWAP zone (2nd or 3rd band) ✅ Insufficient swing history (wait for pivots to form) Too Many/Too Few Signals Too many signals: Increase A Setup Threshold (e.g., 70 instead of 60) Increase Tick Buffer Count (reduces false breaks) Too few signals: Decrease A Setup Threshold (e.g., 50 instead of 60) Decrease Tick Buffer Count (more sensitive to breaks) 📜 License This indicator is provided under the Mozilla Public License 2.0. 🤝 Credits Developed as a professional trading tool for systematic opportunity identification. Philosophy: Reduce noise. Enforce discipline. Keep the human in control. 📞 Support For questions, issues, or feature requests, please consult: This README documentation The specification document (pinescript_market_state_engine_spec.docx) Inline code comments in market_state_engine.pine 🔄 Version History v1.0 (Current) Initial release 4-component scoring model (VWAP + Structure + CVD + Time) VWAP zone directional filtering Alert de-duplication Configurable inputs Real-time score panel Session-aware logic 🎓 Understanding the Numbers Quick Reference Card Score Range Grade Quality Typical Use 90-100 A++ Premium Highest conviction trades 75-89 A+ High Strong probability setups 60-74 A Good Acceptable with discretion 0-59 None Filtered Skip or wait for confluence Component Contribution Examples Minimum A Setup (60 points): Structure (25) + VWAP 3rd band (25) + Time (25) = 75 ✅ Typical A+ Setup (75 points): Structure (25) + VWAP 2nd band (15) + CVD confirm (20) + Time (25) = 85 ✅ Maximum A++ Setup (100 points): Structure (25) + VWAP 3rd band (25) + CVD divergence (25) + Time (25) = 100 ✅ 🎯 Final Reminder This is NOT a trading bot. This is NOT financial advice. This is a decision-support tool. Always: ✅ Use proper risk management ✅ Understand the logic before trading ✅ Backtest on your symbols ✅ Keep the human in control Happy Trading! 📈
Indikator Pine Script®
oleh TC_BE
(5M) REG SuperTrend Pullback SystemThis indicator implements a rule-based SuperTrend pullback system designed for short-term trend continuation. Core features: • Regression-based SuperTrend with flip detection • Pullback + reclaim entry logic (non-repainting, bar-close confirmed) • Regime filter (Trend vs Range suppression) • Exhaustion detection to avoid late entries • ADX + EMA bias alignment • USDT Dominance risk filter (risk-on / risk-off) • Clear BUY / SELL and Pullback AI-style entry labels This is NOT a trading bot and does NOT place orders. All signals are for analytical and educational purposes only.
Indikator Pine Script®
oleh ugurilhan2
1
Silver Futures Adaptive Strategy 1-18-20261. Hybrid Trading Logic The strategy doesn't rely on a single method; instead, it switches between three distinct entry archetypes depending on market conditions: Trend Following: Activated when ADX is high. It looks for "Golden Crosses" (EMA 21/50) confirmed by a long-term 200 EMA filter. Breakout: Enters when the price exceeds the 20-period highest high or lowest low, provided there is a "Volume Spike" to confirm the move. Mean Reversion: Activated when ADX is low (ranging market). It uses Bollinger Bands and RSI to buy oversold dips or sell overbought peaks. 2. Key Technical Indicators The strategy uses a robust stack of indicators to filter out "noise": ADX (Average Directional Index): Acts as the "brain" that determines if the market is trending (ADX > 20) or ranging. Triple EMA Filter: Uses 21, 50, and 200 EMAs to ensure trades are only taken in the direction of the dominant trend. Volume Filter: Requires volume to be 20% higher than the 20-period average to validate an entry, preventing "fake-outs." Silver-Adjusted ATR: Calculates volatility specifically for Silver, applying a 1.2x multiplier to account for the metal's unique price action. 3. Advanced Risk Management The strategy is built for execution with the following safeguards: Dynamic Stops/TP: Stop losses and take profits are not fixed dollar amounts; they are based on ATR (Average True Range), meaning they widen during high volatility and tighten during low volatility. Trailing Stop: Includes an optional trailing stop feature to lock in profits as the trade moves in your favor. Position Sizing: Defaults to 10% of equity per trade with a maximum of 3 "pyramiding" entries (scaling into a winning position). 4. Automation & UI Features JSON Alert Messages: The script generates machine-readable JSON alerts. This makes it "plug-and-play" for automated trading bots, sending the action, price, SL, and TP in a single message. Dashboard Info Panel: A table on the top-right of the chart displays real-time data: Market State: Trending vs. Ranging. Live Stats: Current ADX, RSI, and ATR values. Visual Cues: It plots support/resistance steplines and labels entries with green/red triangles for easy backtesting.
Strategi Pine Script®
oleh mattkelly914
Spot Taker Flow & Early Warning System How Does This Code Detect a "Fake" Rise? Spot VWMA Logic: The moving average looks not only at the price but also at how much "spot volume" is circulating at that price. Fake Rise Scenario: If the price (candles) is going up but the Yellow (Binance) or Blue (Coinbase) lines we've drawn are below it, or the price is drooping to the level of these lines; know that the rise is being triggered by bots in futures trading, not spot buyers. This is a "Fake" rise. Confirmed Rise: If the price is above all these L1 lines, there may be "real money behind it".
Indikator Pine Script®
oleh sabritonyali
BUZARA// © Buzzara // ================================= // PLEASE SUPPORT THE TEAM // ================================= // // Telegram: t.me // ================================= //@version=5 VERSION  = ' Buzzara2.0' strategy('ALGOX V6_1_24', shorttitle = '🚀〄 Buzzara2.0 〄🚀'+ VERSION, overlay = true, explicit_plot_zorder = true, pyramiding = 0, default_qty_type = strategy.percent_of_equity, initial_capital = 1000, default_qty_value = 1, calc_on_every_tick = false, process_orders_on_close = true) G_SCRIPT01   = '■ ' + 'SAIYAN OCC' //#region ———— <↓↓↓ G_SCRIPT01 ↓↓↓> { // === INPUTS === res                       = input.timeframe('15',  'TIMEFRAME', group ="NON REPAINT") useRes                    = input(true,            'Use Alternate Signals') intRes                    = input(10,               'Multiplier for Alernate Signals') basisType                 = input.string('ALMA',   'MA Type: ', options= ) basisLen                  = input.int(50,           'MA Period', minval=1) offsetSigma               = input.int(5,           'Offset for LSMA / Sigma for ALMA', minval=0) offsetALMA                = input.float(2,      'Offset for ALMA', minval=0, step=0.01) scolor                    = input(false,           'Show coloured Bars to indicate Trend?') delayOffset               = input.int(0,           'Delay Open/Close MA', minval=0, step=1,                   tooltip = 'Forces Non-Repainting') tradeType                 = input.string('BOTH',   'What trades should be taken : ',                   options = ) //=== /INPUTS === h                         = input(false,           'Signals for Heikin Ashi Candles') //INDICATOR SETTINGS swing_length              = input.int(10,          'Swing High/Low Length', group = 'Settings', minval = 1, maxval = 50) history_of_demand_to_keep = input.int(20,          'History To Keep', minval = 5, maxval = 50) box_width                 = input.float(2.5,       'Supply/Demand Box Width', group = 'Settings', minval = 1, maxval = 10, step = 0.5) //INDICATOR VISUAL SETTINGS show_zigzag               = input.bool(false,      'Show Zig Zag', group = 'Visual Settings', inline = '1') show_price_action_labels  = input.bool(false,      'Show Price Action Labels', group = 'Visual Settings', inline = '2') supply_color              = input.color(#00000000, 'Supply', group = 'Visual Settings', inline = '3') supply_outline_color      = input.color(#00000000, 'Outline', group = 'Visual Settings', inline = '3') demand_color              = input.color(#00000000, 'Demand', group = 'Visual Settings', inline = '4') demand_outline_color      = input.color(#00000000, 'Outline', group = 'Visual Settings', inline = '4') bos_label_color           = input.color(#00000000, 'BOS Label', group = 'Visual Settings', inline = '5') poi_label_color           = input.color(#00000000, 'POI Label', group = 'Visual Settings', inline = '7') poi_border_color          = input.color(#00000000, 'POI border', group = 'Visual Settings', inline = '7') swing_type_color          = input.color(#00000000, 'Price Action Label', group = 'Visual Settings', inline = '8') zigzag_color              = input.color(#00000000, 'Zig Zag', group = 'Visual Settings', inline = '9') //END SETTINGS //      FUNCTION TO ADD NEW AND REMOVE LAST IN ARRAY f_array_add_pop(array, new_value_to_add) =>     array.unshift(array, new_value_to_add)     array.pop(array) //      FUNCTION SWING H & L LABELS f_sh_sl_labels(array, swing_type) =>     var string label_text = na     if swing_type == 1         if array.get(array, 0) >= array.get(array, 1)             label_text := 'HH'         else             label_text := 'LH'         label.new(           bar_index - swing_length,           array.get(array,0),           text = label_text,           style = label.style_label_down,           textcolor = swing_type_color,           color = swing_type_color,           size = size.tiny)         else if swing_type == -1         if array.get(array, 0) >= array.get(array, 1)             label_text := 'HL'         else             label_text := 'LL'         label.new(           bar_index - swing_length,           array.get(array,0),           text = label_text,           style = label.style_label_up,           textcolor = swing_type_color,           color = swing_type_color,           size = size.tiny) //      FUNCTION MAKE SURE SUPPLY ISNT OVERLAPPING f_check_overlapping(new_poi, box_array, atrValue) =>     atr_threshold = atrValue * 2     okay_to_draw = true     for i = 0 to array.size(box_array) - 1         top = box.get_top(array.get(box_array, i))         bottom = box.get_bottom(array.get(box_array, i))         poi = (top + bottom) / 2         upper_boundary = poi + atr_threshold         lower_boundary = poi - atr_threshold         if new_poi >= lower_boundary and new_poi <= upper_boundary             okay_to_draw := false             break         else             okay_to_draw := true     okay_to_draw //      FUNCTION TO DRAW SUPPLY OR DEMAND ZONE f_supply_demand(value_array, bn_array, box_array, label_array, box_type, atrValue) =>     atr_buffer = atrValue * (box_width / 10)     box_left   = array.get(bn_array, 0)     box_right  = bar_index     var float box_top = 0.00     var float box_bottom = 0.00     var float poi = 0.00     if box_type == 1         box_top := array.get(value_array, 0)         box_bottom := box_top - atr_buffer         poi := (box_top + box_bottom) / 2     else if box_type == -1         box_bottom := array.get(value_array, 0)         box_top := box_bottom + atr_buffer         poi := (box_top + box_bottom) / 2     okay_to_draw = f_check_overlapping(poi, box_array, atrValue)     // okay_to_draw = true     //delete oldest box, and then create a new box and add it to the array     if box_type == 1 and okay_to_draw         box.delete( array.get(box_array, array.size(box_array) - 1) )         f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = supply_outline_color,              bgcolor = supply_color, extend = extend.right, text = 'SUPPLY', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index))                 box.delete( array.get(label_array, array.size(label_array) - 1) )         f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = poi_border_color,              bgcolor = poi_border_color, extend = extend.right, text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index))     else if box_type == -1 and okay_to_draw         box.delete( array.get(box_array, array.size(box_array) - 1) )         f_array_add_pop(box_array, box.new( left = box_left, top = box_top, right = box_right, bottom = box_bottom, border_color = demand_outline_color,              bgcolor = demand_color, extend = extend.right,  text = 'DEMAND', text_halign = text.align_center, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index))                 box.delete( array.get(label_array, array.size(label_array) - 1) )         f_array_add_pop(label_array, box.new( left = box_left, top = poi, right = box_right, bottom = poi, border_color = poi_border_color,              bgcolor = poi_border_color, extend = extend.right,  text = 'POI', text_halign = text.align_left, text_valign = text.align_center, text_color = poi_label_color, text_size = size.small, xloc = xloc.bar_index)) //      FUNCTION TO CHANGE SUPPLY/DEMAND TO A BOS IF BROKEN f_sd_to_bos(box_array, bos_array, label_array, zone_type) =>     if zone_type == 1         for i = 0 to array.size(box_array) - 1             level_to_break = box.get_top(array.get(box_array,i))             // if ta.crossover(close, level_to_break)             if close >= level_to_break                 copied_box = box.copy(array.get(box_array,i))                 f_array_add_pop(bos_array, copied_box)                 mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2                 box.set_top(array.get(bos_array,0), mid)                 box.set_bottom(array.get(bos_array,0), mid)                 box.set_extend( array.get(bos_array,0), extend.none)                 box.set_right( array.get(bos_array,0), bar_index)                 box.set_text( array.get(bos_array,0), 'BOS' )                 box.set_text_color( array.get(bos_array,0), bos_label_color)                 box.set_text_size( array.get(bos_array,0), size.small)                 box.set_text_halign( array.get(bos_array,0), text.align_center)                 box.set_text_valign( array.get(bos_array,0), text.align_center)                 box.delete(array.get(box_array, i))                 box.delete(array.get(label_array, i))     if zone_type == -1         for i = 0 to array.size(box_array) - 1             level_to_break = box.get_bottom(array.get(box_array,i))             // if ta.crossunder(close, level_to_break)             if close <= level_to_break                 copied_box = box.copy(array.get(box_array,i))                 f_array_add_pop(bos_array, copied_box)                 mid = (box.get_top(array.get(box_array,i)) + box.get_bottom(array.get(box_array,i))) / 2                 box.set_top(array.get(bos_array,0), mid)                 box.set_bottom(array.get(bos_array,0), mid)                 box.set_extend( array.get(bos_array,0), extend.none)                 box.set_right( array.get(bos_array,0), bar_index)                 box.set_text( array.get(bos_array,0), 'BOS' )                 box.set_text_color( array.get(bos_array,0), bos_label_color)                 box.set_text_size( array.get(bos_array,0), size.small)                 box.set_text_halign( array.get(bos_array,0), text.align_center)                 box.set_text_valign( array.get(bos_array,0), text.align_center)                 box.delete(array.get(box_array, i))                 box.delete(array.get(label_array, i)) //      FUNCTION MANAGE CURRENT BOXES BY CHANGING ENDPOINT f_extend_box_endpoint(box_array) =>     for i = 0 to array.size(box_array) - 1         box.set_right(array.get(box_array, i), bar_index + 100) // stratRes = timeframe.ismonthly  ? str.tostring(timeframe.multiplier * intRes, '###M') :            timeframe.isweekly   ? str.tostring(timeframe.multiplier * intRes, '###W') :            timeframe.isdaily    ? str.tostring(timeframe.multiplier * intRes, '###D') :            timeframe.isintraday ? str.tostring(timeframe.multiplier * intRes, '####') :            '60' src      = h ? request.security(ticker.heikinashi(syminfo.tickerid),            timeframe.period, close, lookahead = barmerge.lookahead_off) : close //      CALCULATE ATR atrValue = ta.atr(50) //      CALCULATE SWING HIGHS & SWING LOWS swing_high = ta.pivothigh(high, swing_length, swing_length) swing_low  = ta.pivotlow(low,   swing_length, swing_length) //      ARRAYS FOR SWING H/L & BN var swing_high_values  = array.new_float(5,0.00) var swing_low_values   = array.new_float(5,0.00) var swing_high_bns     = array.new_int(5,0) var swing_low_bns      = array.new_int(5,0) //      ARRAYS FOR SUPPLY / DEMAND var current_supply_box = array.new_box(history_of_demand_to_keep, na) var current_demand_box = array.new_box(history_of_demand_to_keep, na) //      ARRAYS FOR SUPPLY / DEMAND POI LABELS var current_supply_poi = array.new_box(history_of_demand_to_keep, na) var current_demand_poi = array.new_box(history_of_demand_to_keep, na) //      ARRAYS FOR BOS var supply_bos         = array.new_box(5, na) var demand_bos         = array.new_box(5, na) //END CALCULATIONS //      NEW SWING HIGH if not na(swing_high)     //MANAGE SWING HIGH VALUES     f_array_add_pop(swing_high_values, swing_high)     f_array_add_pop(swing_high_bns, bar_index )     if show_price_action_labels         f_sh_sl_labels(swing_high_values, 1)     f_supply_demand(swing_high_values, swing_high_bns, current_supply_box, current_supply_poi, 1, atrValue) //      NEW SWING LOW else if not na(swing_low)     //MANAGE SWING LOW VALUES     f_array_add_pop(swing_low_values, swing_low)     f_array_add_pop(swing_low_bns, bar_index )     if show_price_action_labels         f_sh_sl_labels(swing_low_values, -1)         f_supply_demand(swing_low_values, swing_low_bns, current_demand_box, current_demand_poi, -1, atrValue) f_sd_to_bos(current_supply_box, supply_bos, current_supply_poi, 1) f_sd_to_bos(current_demand_box, demand_bos, current_demand_poi, -1) f_extend_box_endpoint(current_supply_box) f_extend_box_endpoint(current_demand_box) channelBal     = input.bool(false, "Channel Balance", group = "CHART") lr_slope(_src, _len) =>     x = 0.0, y = 0.0, x2 = 0.0, xy = 0.0     for i = 0 to _len - 1         val = _src         per = i + 1         x += per         y += val         x2 += per * per         xy += val * per     _slp = (_len * xy - x * y) / (_len * x2 - x * x)     _avg = y / _len     _int = _avg - _slp * x / _len + _slp     lr_dev(_src, _len, _slp, _avg, _int) =>     upDev = 0.0, dnDev = 0.0     val = _int     for j = 0 to _len - 1         price = high - val         if price > upDev             upDev := price         price := val - low         if price > dnDev             dnDev := price         price := _src         val += _slp     // = ta.kc(close, 80, 10.5) = ta.kc(close, 80, 9.5) = ta.kc(close, 80, 8) = ta.kc(close, 80, 3) barsL          = 10 barsR          = 10 pivotHigh      = fixnan(ta.pivothigh(barsL, barsR) ) pivotLow       = fixnan(ta.pivotlow(barsL, barsR) ) source         = close, period = 150      = lr_slope(source, period) = lr_dev(source, period, s, a, i) y1 = low  - (ta.atr(30) * 2), y1B = low  - ta.atr(30) y2 = high + (ta.atr(30) * 2), y2B = high + ta.atr(30) x1 = bar_index - period + 1, _y1 = i + s * (period - 1), x2 = bar_index, _y2 = i //Functions //Line Style function get_line_style(style) =>     out = switch style         '???'  => line.style_solid         '----' => line.style_dashed         '    ' => line.style_dotted //Function to get order block coordinates get_coordinates(condition, top, btm, ob_val)=>     var ob_top  = array.new_float(0)     var ob_btm  = array.new_float(0)     var ob_avg  = array.new_float(0)     var ob_left = array.new_int(0)     float ob = na     //Append coordinates to arrays     if condition         avg = math.avg(top, btm)                 array.unshift(ob_top, top)         array.unshift(ob_btm, btm)         array.unshift(ob_avg, avg)             ob := ob_val         //Function to remove mitigated order blocks from coordinate arrays remove_mitigated(ob_top, ob_btm, ob_left, ob_avg, target, bull)=>     mitigated = false     target_array = bull ? ob_btm : ob_top     for element in target_array         idx = array.indexof(target_array, element)         if (bull ? target < element : target > element)             mitigated := true             array.remove(ob_top, idx)             array.remove(ob_btm, idx)             array.remove(ob_avg, idx)             array.remove(ob_left, idx)         mitigated //Function to set order blocks set_order_blocks(ob_top, ob_btm, ob_left, ob_avg, ext_last, bg_css, border_css, lvl_css)=>     var ob_box = array.new_box(0)     var ob_lvl = array.new_line(0) //Global elements var os = 0 var target_bull = 0. var target_bear = 0. // Create non-repainting security function rp_security(_symbol, _res, _src) =>     request.security(_symbol, _res, _src ) htfHigh = rp_security(syminfo.tickerid, res, high) htfLow  = rp_security(syminfo.tickerid, res, low) // Main Indicator // Functions smoothrng(x, t, m) =>     wper = t * 2 - 1     avrng = ta.ema(math.abs(x - x ), t)     smoothrng = ta.ema(avrng, wper) * m rngfilt(x, r) =>     rngfilt = x     rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100 securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) swingPoints(prd) =>     pivHi = ta.pivothigh(prd, prd)     pivLo = ta.pivotlow (prd, prd)     last_pivHi = ta.valuewhen(pivHi, pivHi, 1)     last_pivLo = ta.valuewhen(pivLo, pivLo, 1)     hh = pivHi and pivHi > last_pivHi ? pivHi : na     lh = pivHi and pivHi < last_pivHi ? pivHi : na     hl = pivLo and pivLo > last_pivLo ? pivLo : na     ll = pivLo and pivLo < last_pivLo ? pivLo : na     f_chartTfInMinutes() =>     float _resInMinutes = timeframe.multiplier * (       timeframe.isseconds ? 1                   :       timeframe.isminutes ? 1.                  :       timeframe.isdaily   ? 60. * 24            :       timeframe.isweekly  ? 60. * 24 * 7        :       timeframe.ismonthly ? 60. * 24 * 30.4375  : na) f_kc(src, len, sensitivity) =>     basis = ta.sma(src, len)     span  = ta.atr(len)     wavetrend(src, chlLen, avgLen) =>     esa = ta.ema(src, chlLen)     d = ta.ema(math.abs(src - esa), chlLen)     ci = (src - esa) / (0.015 * d)     wt1 = ta.ema(ci, avgLen)     wt2 = ta.sma(wt1, 3)     f_top_fractal(_src) => _src < _src and _src < _src and _src > _src and _src > _src f_bot_fractal(_src) => _src > _src and _src > _src and _src < _src and _src < _src top_fractal    = f_top_fractal(src) bot_fractal    = f_bot_fractal(src) f_fractalize (_src) => top_fractal ? 1 : bot_fractal ? -1 : 0 f_findDivs(src, topLimit, botLimit) =>     fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na     fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na     highPrev   = ta.valuewhen(fractalTop, src , 0)     highPrice  = ta.valuewhen(fractalTop, high , 0)     lowPrev    = ta.valuewhen(fractalBot, src , 0)     lowPrice   = ta.valuewhen(fractalBot, low , 0)     bearSignal = fractalTop and high > highPrice and src < highPrev     bullSignal = fractalBot and low < lowPrice and src > lowPrev         // Get user input enableSR   = input(false          , "SR On/Off", group="SR") colorSup   = input(#00000000        , "Support Color", group="SR") colorRes   = input(#00000000        , "Resistance Color", group="SR") strengthSR = input.int(2          , "S/R Strength", 1, group="SR") lineStyle  = input.string("Dotted", "Line Style", , group="SR") lineWidth  = input.int(2          , "S/R Line Width", 1, group="SR") useZones   = input(true           , "Zones On/Off", group="SR") useHLZones = input(true           , "High Low Zones On/Off", group="SR") zoneWidth  = input.int(2          , "Zone Width %", 0,    tooltip = "it's calculated using % of the distance between highest/lowest in last 300 bars", group="SR") expandSR   = input(true           , "Expand SR") // Get components rb         = 10 prd        = 284 ChannelW   = 10 label_loc  = 55 style      = lineStyle == "Solid"  ? line.style_solid  :              lineStyle == "Dotted" ? line.style_dotted : line.style_dashed ph         = ta.pivothigh(rb, rb) pl         = ta.pivotlow (rb, rb) sr_levels  = array.new_float(21, na) prdhighest = ta.highest(prd) prdlowest  = ta.lowest(prd) cwidth     = percWidth(prd, ChannelW) zonePerc   = percWidth(300, zoneWidth) aas        = array.new_bool(41, true) u1         = 0.0, u1 := nz(u1 ) d1         = 0.0, d1 := nz(d1 ) highestph  = 0.0, highestph := highestph lowestpl   = 0.0, lowestpl := lowestpl var sr_levs   = array.new_float(21, na) label hlabel  = na, label.delete(hlabel ) label llabel  = na, label.delete(llabel ) var sr_lines  = array.new_line(21, na) var sr_linesH = array.new_line(21, na) var sr_linesL = array.new_line(21, na) var sr_linesF = array.new_linefill(21, na) var sr_labels = array.new_label(21, na) if (not na(ph) or not na(pl))     for x = 0 to array.size(sr_levels) - 1         array.set(sr_levels, x, na)     highestph := prdlowest     lowestpl := prdhighest     countpp = 0     for x = 0 to prd         if na(close )             break         if not na(ph ) or not na(pl )             highestph := math.max(highestph, nz(ph , prdlowest), nz(pl , prdlowest))             lowestpl := math.min(lowestpl, nz(ph , prdhighest), nz(pl , prdhighest))             countpp += 1             if countpp > 40                 break             if array.get(aas, countpp)                 upl = (not na(ph ) and (ph != 0) ? high : low ) + cwidth                 dnl = (not na(ph ) and (ph != 0) ? high : low ) - cwidth                 u1 := countpp == 1 ? upl : u1                 d1 := countpp == 1 ? dnl : d1                 tmp = array.new_bool(41, true)                 cnt = 0                 tpoint = 0                 for xx = 0 to prd                     if na(close )                         break                     if not na(ph ) or not na(pl )                         chg = false                         cnt += 1                         if cnt > 40                             break                         if array.get(aas, cnt)                             if not na(ph )                                 if high <= upl and high >= dnl                                     tpoint += 1                                     chg := true                             if not na(pl )                                 if low <= upl and low >= dnl                                     tpoint += 1                                     chg := true                         if chg and cnt < 41                             array.set(tmp, cnt, false)                 if tpoint >= strengthSR                     for g = 0 to 40 by 1                         if not array.get(tmp, g)                             array.set(aas, g, false)                     if (not na(ph ) and countpp < 21)                         array.set(sr_levels, countpp, high )                     if (not na(pl ) and countpp < 21)                         array.set(sr_levels, countpp, low ) // Plot var line highest_      = na, line.delete(highest_) var line lowest_       = na, line.delete(lowest_) var line highest_fill1 = na, line.delete(highest_fill1) var line highest_fill2 = na, line.delete(highest_fill2) var line lowest_fill1  = na, line.delete(lowest_fill1) var line lowest_fill2  = na, line.delete(lowest_fill2) hi_col = close >= highestph ? colorSup : colorRes lo_col = close >= lowestpl  ? colorSup : colorRes if enableSR     highest_ := line.new(bar_index - 311, highestph, bar_index, highestph, xloc.bar_index, expandSR ? extend.both : extend.right, hi_col, style, lineWidth)     lowest_  := line.new(bar_index - 311, lowestpl , bar_index, lowestpl , xloc.bar_index, expandSR ? extend.both : extend.right, lo_col, style, lineWidth)     if useHLZones         highest_fill1 := line.new(bar_index - 311, highestph + zonePerc, bar_index, highestph + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)         highest_fill2 := line.new(bar_index - 311, highestph - zonePerc, bar_index, highestph - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na)         lowest_fill1  := line.new(bar_index - 311, lowestpl + zonePerc , bar_index, lowestpl + zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na)         lowest_fill2  := line.new(bar_index - 311, lowestpl - zonePerc , bar_index, lowestpl - zonePerc , xloc.bar_index, expandSR ? extend.both : extend.right, na)         linefill.new(highest_fill1, highest_fill2, hi_col)         linefill.new(lowest_fill1 , lowest_fill2 , lo_col) if (not na(ph) or not na(pl))     for x = 0 to array.size(sr_lines) - 1         array.set(sr_levs, x, array.get(sr_levels, x)) for x = 0 to array.size(sr_lines) - 1     line.delete(array.get(sr_lines, x))     line.delete(array.get(sr_linesH, x))     line.delete(array.get(sr_linesL, x))     linefill.delete(array.get(sr_linesF, x))     if (not na(array.get(sr_levs, x)) and enableSR)         line_col = close >= array.get(sr_levs, x) ? colorSup : colorRes         array.set(sr_lines, x, line.new(bar_index - 355, array.get(sr_levs, x), bar_index, array.get(sr_levs, x), xloc.bar_index, expandSR ? extend.both : extend.right, line_col, style, lineWidth))         if useZones             array.set(sr_linesH, x, line.new(bar_index - 355, array.get(sr_levs, x) + zonePerc, bar_index, array.get(sr_levs, x) + zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na))             array.set(sr_linesL, x, line.new(bar_index - 355, array.get(sr_levs, x) - zonePerc, bar_index, array.get(sr_levs, x) - zonePerc, xloc.bar_index, expandSR ? extend.both : extend.right, na))             array.set(sr_linesF, x, linefill.new(array.get(sr_linesH, x), array.get(sr_linesL, x), line_col)) for x = 0 to array.size(sr_labels) - 1     label.delete(array.get(sr_labels, x))     if (not na(array.get(sr_levs, x)) and enableSR)         lab_loc = close >= array.get(sr_levs, x) ? label.style_label_up : label.style_label_down         lab_col = close >= array.get(sr_levs, x) ? colorSup             : colorRes         array.set(sr_labels, x, label.new(bar_index + label_loc, array.get(sr_levs, x), str.tostring(math.round_to_mintick(array.get(sr_levs, x))), color=lab_col , textcolor=#000000, style=lab_loc)) hlabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, highestph, "High Level : " + str.tostring(highestph), color=hi_col, textcolor=#000000, style=label.style_label_down) : na llabel := enableSR ? label.new(bar_index + label_loc + math.round(math.sign(label_loc)) * 20, lowestpl , "Low  Level : " + str.tostring(lowestpl) , color=lo_col, textcolor=#000000, style=label.style_label_up  ) : na // Get components rsi       = ta.rsi(close, 28) //rsiOb     = rsi > 78 and rsi > ta.ema(rsi, 10) //rsiOs     = rsi < 27 and rsi < ta.ema(rsi, 10) rsiOb     = rsi > 65 and rsi > ta.ema(rsi, 10) rsiOs     = rsi < 35 and rsi < ta.ema(rsi, 10) dHigh     = securityNoRep(syminfo.tickerid, "D", high ) dLow      = securityNoRep(syminfo.tickerid, "D", low   ) dClose    = securityNoRep(syminfo.tickerid, "D", close ) ema = ta.ema(close, 144) emaBull = close > ema equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10) securityNoRep1(sym, res, src) =>     bool bull_ = na     bull_ := equal_tf(res) ? src : bull_     bull_ := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull_     bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) + (timeframe.isseconds ? "S" : "") : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src)     if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res)         bull_ := array.pop(bull_array)     array.clear(bull_array)     bull_ // === BASE FUNCTIONS === // Returns MA input selection variant, default to SMA if blank or typo. variant(type, src, len, offSig, offALMA) =>     v1    = ta.sma(src, len)  // Simple     v2    = ta.ema(src, len)  // Exponential     v3    = 2 * v2 - ta.ema(v2, len)  // Double Exponential     v4    = 3 * (v2 - ta.ema(v2, len)) + ta.ema(ta.ema(v2, len), len)  // Triple Exponential     v5    = ta.wma(src, len)  // Weighted     v6    = ta.vwma(src, len)  // Volume Weighted     v7    = 0.0     sma_1 = ta.sma(src, len)  // Smoothed     v7   := na(v7 ) ? sma_1 : (v7 * (len - 1) + src) / len     v8    = ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len)))  // Hull     v9    = ta.linreg(src, len, offSig)  // Least Squares     v10   = ta.alma(src, len, offALMA, offSig)  // Arnaud Legoux     v11   = ta.sma(v1, len)  // Triangular (extreme smooth)     // SuperSmoother filter     //   2013  John F. Ehlers     a1    = math.exp(-1.414 * 3.14159 / len)     b1    = 2 * a1 * math.cos(1.414 * 3.14159 / len)     c2    = b1     c3    = -a1 * a1     c1    = 1 - c2 - c3     v12   = 0.0     v12  := c1 * (src + nz(src )) / 2 + c2 * nz(v12 ) + c3 * nz(v12 )     type == 'EMA' ? v2 : type == 'DEMA' ? v3 : type == 'TEMA' ? v4 : type == 'WMA' ? v5 : type == 'VWMA' ? v6 : type == 'SMMA' ? v7 : type == 'HullMA' ? v8 : type == 'LSMA' ? v9 : type == 'ALMA' ? v10 : type == 'TMA' ? v11 : type == 'SSMA' ? v12 : v1 // security wrapper for repeat calls reso(exp, use, res) =>     security_1 = request.security(syminfo.tickerid, res, exp, gaps = barmerge.gaps_off, lookahead = barmerge.lookahead_on)     use ? security_1 : exp // === /BASE FUNCTIONS === // === SERIES SETUP === closeSeries = variant(basisType, close , basisLen, offsetSigma, offsetALMA) openSeries  = variant(basisType, open ,  basisLen, offsetSigma, offsetALMA) // === /SERIES === // Get Alternate resolution Series if selected. closeSeriesAlt = reso(closeSeries, useRes, stratRes) openSeriesAlt  = reso(openSeries, useRes, stratRes) // lxTrigger    = false sxTrigger    = false leTrigger    = ta.crossover (closeSeriesAlt, openSeriesAlt) seTrigger    = ta.crossunder(closeSeriesAlt, openSeriesAlt) G_RISK       = '■ ' + 'Risk Management' //#region ———— <↓↓↓ G_RISK ↓↓↓> { // ——————————— //Tooltip T_LVL        = '(%) Exit Level' T_QTY        = '(%) Adjust trade exit volume' T_MSG        = 'Paste JSON message for your bot' //Webhook Message O_LEMSG      = 'Long Entry' O_LXMSGSL    = 'Long SL' O_LXMSGTP1   = 'Long TP1' O_LXMSGTP2   = 'Long TP2' O_LXMSGTP3   = 'Long TP3' O_LXMSG      = 'Long Exit' O_SEMSG      = 'Short Entry' O_SXMSGSL    = 'Short SL' O_SXMSGA     = 'Short TP1' O_SXMSGB     = 'Short TP2' O_SXMSGC     = 'Short TP3' O_SXMSGX     = 'Short Exit' // ———————————          |           |                               |                        Line length guide | i_lxLvlTP1   = input.float      (0.2,         'Level TP1'                     , group = G_RISK,      tooltip =                   T_LVL) i_lxQtyTP1   = input.float      (80.0,        'Qty   TP1'                     , group = G_RISK,      tooltip =                   T_QTY) i_lxLvlTP2   = input.float      (0.5,       'Level TP2'                     , group = G_RISK,      tooltip =                   T_LVL) i_lxQtyTP2   = input.float      (10.0,        'Qty   TP2'                     , group = G_RISK,      tooltip =                   T_QTY) i_lxLvlTP3   = input.float      (7.0,         'Level TP3'                     , group = G_RISK,      tooltip =                   T_LVL) i_lxQtyTP3   = input.float      (2,        'Qty   TP3'                     , group = G_RISK,      tooltip =                   T_QTY) i_lxLvlSL    = input.float      (0.5,       'Stop Loss'                     , group = G_RISK,      tooltip =                   T_LVL) i_sxLvlTP1   = i_lxLvlTP1 i_sxQtyTP1   = i_lxQtyTP1 i_sxLvlTP2   = i_lxLvlTP2 i_sxQtyTP2   = i_lxQtyTP2 i_sxLvlTP3   = i_lxLvlTP3 i_sxQtyTP3   = i_lxQtyTP3 i_sxLvlSL    = i_lxLvlSL G_MSG        = '■ ' + 'Webhook Message' i_leMsg      = input.string     (O_LEMSG   ,'Long Entry'                   , group = G_MSG, tooltip = T_MSG) i_lxMsgSL    = input.string     (O_LXMSGSL ,'Long SL'                      , group = G_MSG, tooltip = T_MSG) i_lxMsgTP1   = input.string     (O_LXMSGTP1,'Long TP1'                     , group = G_MSG, tooltip = T_MSG) i_lxMsgTP2   = input.string     (O_LXMSGTP2,'Long TP2'                     , group = G_MSG, tooltip = T_MSG) i_lxMsgTP3   = input.string     (O_LXMSGTP3,'Long TP3'                     , group = G_MSG, tooltip = T_MSG) i_lxMsg      = input.string     (O_LXMSG   ,'Long Exit'                    , group = G_MSG, tooltip = T_MSG) i_seMsg      = input.string     (O_SEMSG   ,'Short Entry'                  , group = G_MSG, tooltip = T_MSG) i_sxMsgSL    = input.string     (O_SXMSGSL ,'Short SL'                     , group = G_MSG, tooltip = T_MSG) i_sxMsgTP1   = input.string     (O_SXMSGA  ,'Short TP1'                    , group = G_MSG, tooltip = T_MSG) i_sxMsgTP2   = input.string     (O_SXMSGB  ,'Short TP2'                    , group = G_MSG, tooltip = T_MSG) i_sxMsgTP3   = input.string     (O_SXMSGC  ,'Short TP3'                    , group = G_MSG, tooltip = T_MSG) i_sxMsg      = input.string     (O_SXMSGX  ,'Short Exit'                   , group = G_MSG, tooltip = T_MSG) i_src        = close G_DISPLAY    = 'Display' // i_alertOn    = input.bool       (true,      'Alert Labels On/Off'          , group = G_DISPLAY) i_barColOn   = input.bool       (true,      'Bar Color On/Off'             , group = G_DISPLAY) // ——————————— // @function        Calculate the Take Profit line, and the crossover or crossunder f_tp(_condition, _conditionValue, _leTrigger, _seTrigger, _src, _lxLvlTP, _sxLvlTP)=>     var float _tpLine = 0.0     _topLvl     = _src + (_src * (_lxLvlTP / 100))     _botLvl     = _src - (_src * (_sxLvlTP / 100))     _tpLine    := _condition !=  _conditionValue and _leTrigger ? _topLvl :                   _condition != -_conditionValue and _seTrigger ? _botLvl :                   nz(_tpLine )     // @function        Similar to "ta.crossover" or "ta.crossunder" f_cross(_scr1, _scr2, _over)=>     _cross   = _over ? _scr1 > _scr2 and _scr1 < _scr2 :                        _scr1 < _scr2 and _scr1 > _scr2 // ——————————— // var float condition = 0.0 var float slLine    = 0.0 var float entryLine = 0.0 // entryLine   := leTrigger and condition <=  0.0 ? close :                seTrigger and condition >=  0.0 ? close : nz(entryLine ) // slTopLvl    = i_src + (i_src * (i_lxLvlSL / 100)) slBotLvl    = i_src - (i_src * (i_sxLvlSL / 100)) slLine     := condition <=  0.0 and leTrigger ? slBotLvl :               condition >=  0.0 and seTrigger ? slTopLvl : nz(slLine ) slLong      = f_cross(low,  slLine, false) slShort     = f_cross(high, slLine, true ) //    = f_tp(condition, 1.2,leTrigger, seTrigger, i_src, i_lxLvlTP3, i_sxLvlTP3)    = f_tp(condition, 1.1,leTrigger, seTrigger, i_src, i_lxLvlTP2, i_sxLvlTP2)    = f_tp(condition, 1.0,leTrigger, seTrigger, i_src, i_lxLvlTP1, i_sxLvlTP1) tp3Long      = f_cross(high, tp3Line, true ) tp3Short     = f_cross(low,  tp3Line, false) tp2Long      = f_cross(high, tp2Line, true ) tp2Short     = f_cross(low,  tp2Line, false) tp1Long      = f_cross(high, tp1Line, true ) tp1Short     = f_cross(low,  tp1Line, false) switch     leTrigger and condition <=  0.0 => condition :=  1.0     seTrigger and condition >=  0.0 => condition := -1.0     tp3Long   and condition ==  1.2 => condition :=  1.3     tp3Short  and condition == -1.2 => condition := -1.3     tp2Long   and condition ==  1.1 => condition :=  1.2     tp2Short  and condition == -1.1 => condition := -1.2     tp1Long   and condition ==  1.0 => condition :=  1.1     tp1Short  and condition == -1.0 => condition := -1.1     slLong    and condition >=  1.0 => condition :=  0.0     slShort   and condition <= -1.0 => condition :=  0.0     lxTrigger and condition >=  1.0 => condition :=  0.0     sxTrigger and condition <= -1.0 => condition :=  0.0 longE        = leTrigger and condition <=  0.0 and condition ==  1.0 shortE       = seTrigger and condition >=  0.0 and condition == -1.0 longX        = lxTrigger and condition >=  1.0 and condition ==  0.0 shortX       = sxTrigger and condition <= -1.0 and condition ==  0.0 longSL       = slLong    and condition >=  1.0 and condition ==  0.0 shortSL      = slShort   and condition <= -1.0 and condition ==  0.0 longTP3      = tp3Long   and condition ==  1.2 and condition ==  1.3 shortTP3     = tp3Short  and condition == -1.2 and condition == -1.3 longTP2      = tp2Long   and condition ==  1.1 and condition ==  1.2 shortTP2     = tp2Short  and condition == -1.1 and condition == -1.2 longTP1      = tp1Long   and condition ==  1.0 and condition ==  1.1 shortTP1     = tp1Short  and condition == -1.0 and condition == -1.1 // ——————————— { // if strategy.position_size <= 0 and longE and barstate.isconfirmed     strategy.entry(       'Long',       strategy.long,       alert_message    = i_leMsg,       comment          = 'LE') if strategy.position_size > 0 and condition ==  1.0     strategy.exit(       id               = 'LXTP1',       from_entry       = 'Long',       qty_percent      = i_lxQtyTP1,       limit            = tp1Line,       stop             = slLine,       comment_profit   = 'LXTP1',       comment_loss     = 'SL',       alert_profit     = i_lxMsgTP1,       alert_loss       = i_lxMsgSL) if strategy.position_size > 0 and condition ==  1.1     strategy.exit(       id               = 'LXTP2',       from_entry       = 'Long',       qty_percent      = i_lxQtyTP2,       limit            = tp2Line,       stop             = slLine,       comment_profit   = 'LXTP2',       comment_loss     = 'SL',       alert_profit     = i_lxMsgTP2,       alert_loss       = i_lxMsgSL) if strategy.position_size > 0 and condition ==  1.2     strategy.exit(       id               = 'LXTP3',       from_entry       = 'Long',       qty_percent      = i_lxQtyTP3,       limit            = tp3Line,       stop             = slLine,       comment_profit   = 'LXTP3',       comment_loss     = 'SL',       alert_profit     = i_lxMsgTP3,       alert_loss       = i_lxMsgSL) if longX     strategy.close(       'Long',       alert_message    = i_lxMsg,       comment          = 'LX') // if strategy.position_size >= 0 and shortE and barstate.isconfirmed     strategy.entry(       'Short',       strategy.short,       alert_message    = i_leMsg,       comment          = 'SE') if strategy.position_size < 0 and condition == -1.0     strategy.exit(       id               = 'SXTP1',       from_entry       = 'Short',       qty_percent      = i_sxQtyTP1,       limit            = tp1Line,       stop             = slLine,       comment_profit   = 'SXTP1',       comment_loss     = 'SL',       alert_profit     = i_sxMsgTP1,       alert_loss       = i_sxMsgSL) if strategy.position_size < 0 and condition == -1.1     strategy.exit(       id               = 'SXTP2',       from_entry       = 'Short',       qty_percent      = i_sxQtyTP2,       limit            = tp2Line,       stop             = slLine,       comment_profit   = 'SXTP2',       comment_loss     = 'SL',       alert_profit     = i_sxMsgTP2,       alert_loss       = i_sxMsgSL) if strategy.position_size < 0 and condition == -1.2     strategy.exit(       id               = 'SXTP3',       from_entry       = 'Short',       qty_percent      = i_sxQtyTP3,       limit            = tp3Line,       stop             = slLine,       comment_profit   = 'SXTP3',       comment_loss     = 'SL',       alert_profit     = i_sxMsgTP3,       alert_loss       = i_sxMsgSL) if shortX     strategy.close(       'Short',       alert_message    = i_sxMsg,       comment          = 'SX') // ——————————— c_tp         = leTrigger or seTrigger ? na :                condition == 0.0       ? na : color.green c_entry      = leTrigger or seTrigger ? na :                condition == 0.0       ? na : color.blue c_sl         = leTrigger or seTrigger ? na :                condition == 0.0       ? na : color.red p_tp1Line    = plot (   condition ==  1.0 or   condition == -1.0 ? tp1Line : na,   title      = "TP Line 1",   color      = c_tp,   linewidth  = 1,   style      = plot.style_linebr) p_tp2Line    = plot (   condition ==  1.0 or   condition == -1.0 or   condition ==  1.1 or   condition == -1.1 ? tp2Line : na,   title      = "TP Line 2",   color      = c_tp,   linewidth  = 1,   style      = plot.style_linebr) p_tp3Line    = plot (   condition ==  1.0 or   condition == -1.0 or   condition ==  1.1 or   condition == -1.1 or   condition ==  1.2 or   condition == -1.2 ? tp3Line : na,   title      = "TP Line 3",   color      = c_tp,   linewidth  = 1,   style      = plot.style_linebr) p_entryLine  = plot (   condition >=  1.0 or   condition <= -1.0 ? entryLine : na,   title      = "Entry Line",   color      = c_entry,   linewidth  = 1,   style      = plot.style_linebr) p_slLine     = plot (   condition ==  1.0 or   condition == -1.0 or   condition ==  1.1 or   condition == -1.1 or   condition ==  1.2 or   condition == -1.2 ? slLine : na,   title      = "SL Line",   color      = c_sl,   linewidth  = 1,   style      = plot.style_linebr) fill(   p_tp3Line, p_entryLine,   color      = leTrigger or seTrigger ? na :color.new(color.green, 90)) fill(   p_entryLine, p_slLine,   color      = leTrigger or seTrigger ? na :color.new(color.red, 90)) // plotshape(   i_alertOn and longE,   title      = 'Long',   text       = 'Long',   textcolor  = color.white,   color      = color.green,   style      = shape.labelup,   size       = size.tiny,   location   = location.belowbar) plotshape(   i_alertOn and shortE,   title      = 'Short',   text       = 'Short',   textcolor  = color.white,   color      = color.red,   style      = shape.labeldown,   size       = size.tiny,   location   = location.abovebar) plotshape(   i_alertOn and (longX or shortX) ? close : na,   title      = 'Close',   text       = 'Close',   textcolor  = color.white,   color      = color.gray,   style      = shape.labelup,   size       = size.tiny,   location   = location.absolute) l_tp         = i_alertOn and (longTP1 or shortTP1) ? close : na plotshape(   l_tp,   title      = "TP1 Cross",   text       = "TP1",   textcolor  = color.white,   color      = color.olive,   style      = shape.labelup,   size       = size.tiny,   location   = location.absolute) plotshape(   i_alertOn and (longTP2 or shortTP2) ? close : na,   title      = "TP2 Cross",   text       = "TP2",   textcolor  = color.white,   color      = color.olive,   style      = shape.labelup,   size       = size.tiny,   location   = location.absolute) plotshape(   i_alertOn and (longTP3 or shortTP3) ? close : na,   title      = "TP3 Cross",   text       = "TP3",   textcolor  = color.white,   color      = color.olive,   style      = shape.labelup,   size       = size.tiny,   location   = location.absolute) plotshape(   i_alertOn and (longSL or shortSL) ? close : na,   title      = "SL Cross",   text       = "SL",   textcolor  = color.white,   color      = color.maroon,   style      = shape.labelup,   size       = size.tiny,   location   = location.absolute) // plot(   na,   title      = "─── ───",   editable   = false,   display    = display.data_window) plot(   condition,   title      = "condition",   editable   = false,   display    = display.data_window) plot(   strategy.position_size * 100,   title      = ".position_size",   editable   = false,   display    = display.data_window) //#endregion } // ——————————— <↑↑↑ G_RISK ↑↑↑> //#region ———— <↓↓↓ G_SCRIPT02 ↓↓↓> { // @function        Queues a new element in an array and de-queues its first element. f_qDq(_array, _val) =>     array.push(_array, _val)     _return = array.shift(_array)     _return var line  a_slLine     = array.new_line(1) var line  a_entryLine  = array.new_line(1) var line  a_tp3Line    = array.new_line(1) var line  a_tp2Line    = array.new_line(1) var line  a_tp1Line    = array.new_line(1) var label a_slLabel    = array.new_label(1) var label a_tp3label   = array.new_label(1) var label a_tp2label   = array.new_label(1) var label a_tp1label   = array.new_label(1) var label a_entryLabel = array.new_label(1) newEntry     = longE or shortE entryIndex   = 1 entryIndex  := newEntry ? bar_index : nz(entryIndex ) lasTrade     = bar_index >= entryIndex l_right      = 10 line.delete(   f_qDq(a_slLine,   line.new(    entryIndex,    slLine,    last_bar_index + l_right,    slLine,    style = line.style_solid,    color = c_sl))) line.delete(   f_qDq(a_entryLine,   line.new(    entryIndex,    entryLine,    last_bar_index + l_right,    entryLine,    style = line.style_solid,    color = color.blue))) line.delete(   f_qDq(a_tp3Line,   line.new(    entryIndex,    tp3Line,    last_bar_index + l_right,    tp3Line,    style = line.style_solid,    color = c_tp))) line.delete(   f_qDq(a_tp2Line,   line.new(    entryIndex,    tp2Line,    last_bar_index + l_right,    tp2Line,    style = line.style_solid,    color = c_tp))) line.delete(   f_qDq(a_tp1Line,   line.new(    entryIndex,    tp1Line,    last_bar_index + l_right,    tp1Line,    style = line.style_solid,    color = c_tp))) label.delete(   f_qDq(a_slLabel,   label.new(    last_bar_index + l_right,    slLine,    'SL: ' + str.tostring(slLine, '##.###'),    style = label.style_label_left,    textcolor  = color.white,    color = c_sl))) label.delete(   f_qDq(a_entryLabel,   label.new(    last_bar_index + l_right,    entryLine,    'Entry: ' + str.tostring(entryLine, '##.###'),    style = label.style_label_left,    textcolor  = color.white,    color = color.blue))) label.delete(   f_qDq(a_tp3label,   label.new(    last_bar_index + l_right,    tp3Line,    'TP3: ' + str.tostring(tp3Line, '##.###'),    style = label.style_label_left,    textcolor  = color.white,    color = c_tp))) label.delete(   f_qDq(a_tp2label,   label.new(    last_bar_index + l_right,    tp2Line,    'TP2: ' + str.tostring(tp2Line, '##.###'),    style = label.style_label_left,    textcolor  = color.white,    color = c_tp))) label.delete(   f_qDq(a_tp1label,   label.new(    last_bar_index + l_right,    tp1Line,    'TP1: ' + str.tostring(tp1Line, '##.###'),    style = label.style_label_left,    textcolor  = color.white,    color = c_tp))) // ——————————— // if longE or shortE or longX or shortX     alert(message = 'Any Alert',   freq = alert.freq_once_per_bar_close) if longE     alert(message = 'Long Entry',  freq = alert.freq_once_per_bar_close) if shortE     alert(message = 'Short Entry', freq = alert.freq_once_per_bar_close) if longX     alert(message = 'Long Exit',   freq = alert.freq_once_per_bar_close) if shortX     alert(message = 'Short Exit',  freq = alert.freq_once_per_bar_close) //#endregion } // ——————————— <↑↑↑ G_SCRIPT03 ↑↑↑>
Indikator Pine Script®
oleh asalya1690-90
1
UT Bot Alerts with R-Targets & Results< DONE BY RM ALOWAIS > Indicator Overview This indicator provides rule-based BUY and SELL signals with automatic risk management levels. Each trade setup includes a predefined Stop Loss and up to three Take Profit targets (TP1, TP2, TP3), allowing traders to manage risk and scale exits systematically. How It Works BUY and SELL signals are generated based on internal market conditions. Each signal plots: Entry point Stop Loss (SL) Take Profit levels (TP1, TP2, TP3) After price action completes, the indicator displays the actual result of the trade: Result: TP1 / TP2 / TP3 / SL Exit labels may appear when a trade is closed early due to invalidation or opposite conditions. Key Features Non-repainting signals Built-in risk-to-reward structure Visual trade tracking with clear outcomes Suitable for intraday and swing trading Works on multiple markets and timeframes Usage Notes This indicator is a decision-support tool, not financial advice. Best results are achieved when used with proper risk management and higher-timeframe confirmation. Performance may vary depending on market conditions (trend vs range). Disclaimer This script is provided for educational and informational purposes only. The author is not responsible for any financial losses. Always test and validate before using in live trading.
Indikator Pine Script®
oleh RMALOWAIS
2
Alpha Accumulator v3.4OVERVIEW Alpha Accumulator is an intelligent accumulation strategy that outperforms traditional Dollar-Cost Averaging (DCA) by deploying capital proportionally to market dip severity. Instead of buying the same amount every week regardless of price, Alpha Accumulator "starves" small pullbacks and "feasts" on corrections. The core philosophy: When the market gives you a real opportunity, take it seriously. HOW IT WORKS For Example: Traditional DCA: Buy $100 every week, no matter what. Alpha Accumulator: Buy based on how deep the dip is. ┌─────────────────┬───────────────┬─────────────────┐ │ Market Dip │ DCA Buys │ Alpha Buys │ ├─────────────────┼───────────────┼─────────────────┤ │ -5% pullback │ $100 │ $200 (2x) │ │ -10% correction│ $100 │ $1200 (12x) │ │ -16% deep dip │ $100 │ $3800 (38x) │ └─────────────────┴───────────────┴─────────────────┘ The result? Lower average cost, higher returns, same or similar total capital deployed. KEY FEATURES ⯁ SMART DIP DETECTION Combines multiple technical signals to identify high-probability accumulation zones: • Volume spike confirmation (panic selling = opportunity) • Volatility expansion (ATR/StdDev spike) • Price below EMAs (discount to trend) • Bearish structure (EMA20 < EMA50) ⯁ AUTO-DETECT SYMBOL PROFILES Automatically selects optimized multipliers based on your chart: • 🔵 SPY: Low volatility → Higher multipliers (fewer signals, must capitalize) • 🟢 QQQ: Medium volatility → Balanced multipliers • 🔴 SMH: High volatility → Lower multipliers (more frequent signals) 10-TIER MULTIPLIER SYSTEM ⯁ PROFESSIONAL METRICS DASHBOARD Real-time comparison between Alpha Accumulator and traditional DCA: • CAGR (Compound Annual Growth Rate) - Time-weighted returns • Sortino Ratio - Risk-adjusted performance • Maximum Drawdown - Worst decline experienced • Capital Ratio - How much capital deployed vs DCA • Cost Advantage - Average cost basis improvement MULTIPLIER PROFILES The indicator includes 9 pre-built profiles for different risk tolerances: SYMBOL-SPECIFIC (Auto-detected): • SPY Optimized • QQQ Optimized • SMH Optimized GENERIC PROFILES: • Conservative - Cap ~1.0x, Max 35x (Match DCA capital) • Balanced - Cap ~1.2x, Max 45x • CAGR Balanced - Cap ~1.5x, Max 50x • Aggressive - Cap ~1.8x, Max 60x • CAGR Optimized - Cap ~2.0x, Max 65x • Custom - Define your own 10-tier multiplier ladder VISUAL SIGNALS 🔵 Blue Triangle = STARVE signal (low multiplier, small buy) 🟠 Orange Triangle = RAMP signal (medium multiplier) 🟡 Yellow Triangle = TRANSITION signal 🟢 Green Triangle = FEAST signal (high multiplier, big buy) 💚 Bright Green = MAX FEAST signal (maximum deployment) Each signal displays: • Current multiplier (e.g., "12.5x") • Dollar amount to deploy • Entry price SETTINGS GUIDE DIP FINDER SETTINGS (Match to your Dip Finder indicator): • Vol Lookback: 65 (bars for volume average) • Vol Spike: 2.0x (volume must exceed this multiple) • Fast/Slow EMA: 20/50 • Volatility Len: 14 • Dip %: 2.0% (minimum price drop) • Min Gap: 5 bars (cooldown between signals) STRATEGY SETTINGS: • DCA Buy Amount: Your regular DCA amount (e.g., $100/week) • Base Lump-Sum: Base amount for Alpha signals (multiplied by tier) • Start Date: Backtest start date INTERPRETING RESULTS The results table shows head-to-head comparison: ✅ ALPHA WINS when: • Higher CAGR (better returns) • Higher Sortino (better risk-adjusted returns) • Lower Avg Cost (buying at better prices) • Positive Cost Advantage % 📊 CAP RATIO explained: • 1.0x = Alpha deployed same capital as DCA • 0.5x = Alpha deployed half the capital • 1.5x = Alpha deployed 50% more capital 🎯 IDEAL SETUP: • Cap Ratio: 0.9x - 1.3x (similar capital to DCA) • Cost Advantage: +5% to +15% • CAGR Outperformance: +1% to +5% █ BEST PRACTICES 1. MATCH YOUR DIP FINDER If you use a separate Dip Finder indicator, match its settings here for consistency. 2. SET REALISTIC BASE AMOUNTS Base Lump-Sum × Max Multiplier = Maximum single buy 3. HAVE CAPITAL READY Alpha Accumulator requires available capital when signals fire. Keep a "dry powder" reserve for deep corrections. 4. TRUST THE SIGNALS The system is designed to deploy heavily in corrections. If you can't stomach a higher buy during a crash, lower your base amount. 5. LONG-TERM MINDSET Best results come from multi-year holding periods. This is an accumulation strategy, not a trading system. ALERTS Set up alerts to never miss a signal: • "Buy Signal" - Triggers on every valid dip signal • Includes: Symbol, Price, Multiplier, Dollar Amount, Shares to Buy • Bot-friendly JSON format for automated trading DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Always do your own research and never invest more than you can afford to lose. The multiplier system can result in very large position sizes during market corrections - ensure you have appropriate risk management in place. Developed by Sahebson Built for long-term accumulators who believe in buying fear
Indikator Pine Script®
oleh Sahebson
EMA - SHORT (8/20)EMA SHORT (8/20) trades only the short side by waiting for bearish regime alignment and then capturing continuation once momentum confirms. It ignores long signals entirely and filters out sideways chop or late entries. Built to: ✔ Confirm bearish direction ✔ Avoid compression phases ✔ Filter weak flips ✔ Simulate short execution visually ✔ Enable automation via Webhooks Ideal for: Futures traders (short bias) Breakout & momentum traders Signal providers Copy-trading systems Bot builders Works across timeframes from scalping to swing, with strong performance in futures, crypto, and FX.
Indikator Pine Script®
oleh Boccalandro