始めましょう

"2024年5月黄金价格"に関するスクリプトを検索

Multi-Timeframe EMA Trend Dashboard with Volume and RSI Filters═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME EMA TREND DASHBOARD ═══════════════════════════════════════════════════════════ OVERVIEW This indicator provides a comprehensive view of trend direction across multiple timeframes using the classic EMA 20/50 crossover methodology, enhanced with volume confirmation and RSI filtering. It aggregates trend information from six timeframes into a single dashboard for efficient market analysis. The indicator is designed for educational purposes and to assist traders in identifying potential trend alignments across different time horizons. ═══════════════════════════════════════════════════════════ FEATURES ═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME ANALYSIS • Monitors 6 timeframes simultaneously: 1m, 5m, 15m, 1H, 4H, 1D • Each timeframe analyzed independently using request.security() • Non-repainting implementation with proper lookahead settings • Calculates overall trend strength as percentage of bullish timeframes EMA CROSSOVER SYSTEM • Fast EMA (default: 20) and Slow EMA (default: 50) • Bullish: Fast EMA > Slow EMA • Bearish: Fast EMA < Slow EMA • Neutral: Fast EMA = Slow EMA (rare condition) • Visual EMA plots with optional fill area VOLUME CONFIRMATION • Optional volume filter for crossover signals • Compares current volume against moving average (default: 20-period SMA) • Categorizes volume as: High (>1.5x average), Normal (>average), Low (70), oversold (<30), and neutral zones • Used in quality score calculation • Optional display toggle SUPPORT & RESISTANCE DETECTION • Automatic detection using highest/lowest over lookback period (default: 50 bars) • Plots resistance (red), support (green), and mid-level (gray) • Step-line style for clear visualization • Optional display toggle QUALITY SCORING SYSTEM • Rates trade setups from 1-5 stars • Considers: MTF alignment, volume confirmation, RSI positioning • 5 stars: 4+ timeframes aligned + volume confirmed + RSI 50-70 • 4 stars: 4+ timeframes aligned + volume confirmed • 3 stars: 3+ timeframes aligned • 2 stars: Exactly 3 timeframes aligned • 1 star: Other conditions VISUAL DASHBOARD • Clean table display (position customizable) • Color-coded trend indicators (green/red/yellow) • Extended statistics panel (toggleable) • Shows: Trends, Strength, Quality, RSI, Volume, Price Distance ═══════════════════════════════════════════════════════════ TECHNICAL SPECIFICATIONS ═══════════════════════════════════════════════════════════ CALCULATIONS Trend Determination per Timeframe: • request.security() fetches EMA values with gaps=off, lookahead=off • Compares Fast EMA vs Slow EMA • Returns: 1 (bullish), -1 (bearish), 0 (neutral) Trend Strength: • Counts number of bullish timeframes • Formula: (bullish_count / 6) × 100 • Range: 0% (all bearish) to 100% (all bullish) Price Distance from EMA: • Formula: ((close - EMA) / EMA) × 100 • Positive: Price above EMA • Negative: Price below EMA • Warning when absolute distance > 5% ANTI-REPAINTING MEASURES • All request.security() calls use lookahead=barmerge.lookahead_off • Dashboard updates only on barstate.islast • Historical bars remain unchanged • Crossover signals finalize on bar close ═══════════════════════════════════════════════════════════ USAGE GUIDE ═══════════════════════════════════════════════════════════ INTERPRETING THE DASHBOARD Timeframe Rows: • Each row shows individual timeframe trend status • Look for alignment (multiple timeframes same direction) • Higher timeframes generally more significant Strength Indicator: • >66.67%: Strong bullish (4+ timeframes bullish) • 33.33-66.67%: Mixed/choppy conditions • <33.33%: Strong bearish (4+ timeframes bearish) Quality Score: • Higher stars = better confluence of factors • 5-star setups have strongest multi-factor confirmation • Lower scores may indicate weaker or conflicting signals SUGGESTED APPLICATIONS Trend Confirmation: • Check if multiple timeframes confirm current chart trend • Higher agreement = stronger trend confidence • Use for position sizing decisions Entry Timing: • Wait for EMA crossover on chart timeframe • Confirm with higher timeframe alignment • Volume above average preferred • RSI not in extreme zones Divergence Detection: • When lower timeframes diverge from higher • May indicate trend exhaustion or reversal • Requires additional confirmation CUSTOMIZATION EMA Settings: • Adjust Fast/Slow lengths for different sensitivities • Shorter periods = more responsive, more signals • Longer periods = smoother, fewer signals • Common alternatives: 10/30, 12/26, 50/200 Volume Filter: • Enable for higher-quality signals (fewer false positives) • Disable in always-liquid markets or for more signals • Adjust MA length based on typical volume patterns Display Options: • Toggle EMAs, S/R levels, extended stats as needed • Choose dashboard position to avoid chart overlap • Adjust colors for visibility preferences ═══════════════════════════════════════════════════════════ ALERTS ═══════════════════════════════════════════════════════════ AVAILABLE ALERT CONDITIONS 1. Bullish EMA Cross (Volume Confirmed) 2. Bearish EMA Cross (Volume Confirmed) 3. Strong Bullish Alignment (4+ timeframes) 4. Strong Bearish Alignment (4+ timeframes) 5. Trend Strength Increasing (>16.67% jump) 6. Trend Strength Decreasing (>16.67% drop) 7. Excellent Trade Setup (5-star rating) Alert messages use standard placeholders: • {{ticker}} - Symbol name • {{close}} - Current close price • {{time}} - Bar timestamp ═══════════════════════════════════════════════════════════ LIMITATIONS & CONSIDERATIONS ═══════════════════════════════════════════════════════════ KNOWN LIMITATIONS • Lower timeframe data may not be available on all symbols • 1-minute data typically limited to recent history • request.security() subject to TradingView data limits • Dashboard requires screen space (may overlap on small screens) • More complex calculations may affect load time on slower devices NOT SUITABLE FOR • Highly volatile/illiquid instruments (many false signals) • News-driven markets during announcements • Automated trading without additional filters • Markets where EMA strategies don't perform well DOES NOT PROVIDE • Exact entry/exit prices • Stop-loss or take-profit levels • Position sizing recommendations • Guaranteed profit signals • Market predictions ═══════════════════════════════════════════════════════════ BEST PRACTICES ═══════════════════════════════════════════════════════════ RECOMMENDED USAGE ✓ Combine with price action analysis ✓ Use appropriate risk management ✓ Backtest on historical data before live use ✓ Adjust settings for specific market characteristics ✓ Wait for higher-quality setups in important trades ✓ Consider overall market context and fundamentals NOT RECOMMENDED ✗ Using as standalone trading system without confirmation ✗ Trading every signal without discretion ✗ Ignoring risk management principles ✗ Trading without understanding the methodology ✗ Applying to unsuitable markets/timeframes ═══════════════════════════════════════════════════════════ EDUCATIONAL BACKGROUND ═══════════════════════════════════════════════════════════ EMA CROSSOVER STRATEGY The Exponential Moving Average crossover is a classical trend-following technique: • Golden Cross: Fast EMA crosses above Slow EMA (bullish signal) • Death Cross: Fast EMA crosses below Slow EMA (bearish signal) • Widely used since the 1970s in various markets • More responsive than SMA due to exponential weighting MULTI-TIMEFRAME ANALYSIS Analyzing multiple timeframes helps traders: • Identify alignment between short and long-term trends • Reduce false signals from single-timeframe noise • Understand market context across different horizons • Make informed decisions about trade duration VOLUME ANALYSIS Volume confirmation adds reliability: • High volume suggests institutional participation • Low volume signals may indicate false breakouts • Volume precedes price in many market theories • Helps distinguish genuine moves from noise ═══════════════════════════════════════════════════════════ TECHNICAL IMPLEMENTATION ═══════════════════════════════════════════════════════════ CODE STRUCTURE • Organized in clear sections with proper commenting • Uses explicit type declarations (int, float, bool, color, string) • Constants defined at top (BULLISH=1, BEARISH=-1, etc.) • Functions documented with @function, @param, @returns • Follows PineCoders naming conventions (camelCase variables) PERFORMANCE OPTIMIZATION • var keyword for table (created once, not every bar) • Calculations cached where possible • Dashboard updates only on last bar • Minimal redundant security() calls SECURITY IMPLEMENTATION • Proper gaps and lookahead parameters • No future data leakage • Signals finalize on bar close • Historical bars remain static ═══════════════════════════════════════════════════════════ VERSION INFORMATION ═══════════════════════════════════════════════════════════ Current Version: 2.0 Pine Script Version: 5 Last Updated: 2024 Developed by: Zakaria Safri ═══════════════════════════════════════════════════════════ SETTINGS REFERENCE ═══════════════════════════════════════════════════════════ EMA SETTINGS • Fast EMA Length: 1-500 (default: 20) • Slow EMA Length: 1-500 (default: 50) VOLUME & MOMENTUM • Use Volume Confirmation: true/false (default: true) • Volume MA Length: 1-500 (default: 20) • Show RSI Levels: true/false (default: true) • RSI Length: 1-500 (default: 14) PRICE ACTION FEATURES • Show Price Distance: true/false (default: true) • Show Key Levels: true/false (default: true) • S/R Lookback Period: 10-500 (default: 50) DISPLAY SETTINGS • Show EMAs on Chart: true/false (default: true) • Fast EMA Color: customizable (default: cyan) • Slow EMA Color: customizable (default: orange) • EMA Line Width: 1-5 (default: 2) • Show Fill Between EMAs: true/false (default: true) • Show Crossover Signals: true/false (default: true) DASHBOARD SETTINGS • Position: Top Left/Right, Bottom Left/Right • Show Extended Statistics: true/false (default: true) ALERT SETTINGS • Alert on Multi-TF Alignment: true/false (default: true) • Alert on Trend Strength Change: true/false (default: true) ═══════════════════════════════════════════════════════════ RISK DISCLAIMER ═══════════════════════════════════════════════════════════ This indicator is provided for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell any security. IMPORTANT NOTICES: • Past performance does not indicate future results • All trading involves risk of capital loss • No indicator guarantees profitable trades • Always conduct independent research and analysis • Use proper risk management and position sizing • Consult a qualified financial advisor before trading • The developer assumes no liability for trading losses By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions. ═══════════════════════════════════════════════════════════ SUPPORT & CONTRIBUTIONS ═══════════════════════════════════════════════════════════ FEEDBACK WELCOME • Constructive comments appreciated • Bug reports help improve the indicator • Feature suggestions considered for future versions • Share your experience to help other users OPEN SOURCE This code is published as open source for the TradingView community to: • Learn from the implementation • Modify for personal use • Understand multi-timeframe analysis techniques If you find this indicator useful, please consider: • Leaving a thoughtful review • Sharing with other traders who might benefit • Following for future updates and releases ═══════════════════════════════════════════════════════════ ADDITIONAL RESOURCES ═══════════════════════════════════════════════════════════ RECOMMENDED READING • TradingView Pine Script documentation • PineCoders community resources • Technical analysis textbooks on moving averages • Multi-timeframe trading strategy guides • Risk management principles RELATED CONCEPTS • Trend following strategies • Moving average convergence/divergence • Multiple timeframe analysis • Volume-price relationships • Momentum indicators ═══════════════════════════════════════════════════════════ Thank you for using this indicator. Trade responsibly and continue learning! ═══════════════════════════════════════════════════════════
Pine Script® インジケーター
zakariasafri47の投稿
TradeVision Pro - Multi-Factor Analysis System═══════════════════════════════════════════════════════════════════ TRADEVISION PRO - MULTI-FACTOR ANALYSIS SYSTEM Created by Zakaria Safri ═══════════════════════════════════════════════════════════════════ A comprehensive technical analysis tool combining multiple factors for signal generation, trend analysis, and dynamic risk management visualization. Designed for educational purposes to study multi-factor convergence trading strategies across all markets and timeframes. ⚠️ IMPORTANT DISCLAIMER: This indicator is provided for EDUCATIONAL and INFORMATIONAL purposes only. It does NOT constitute financial advice, investment advice, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss. Always do your own research and consult a financial advisor before making trading decisions. 🎯 KEY FEATURES ═══════════════════════════════════════════════════════════════════ ✅ MULTI-FACTOR SIGNAL GENERATION • Price Volume Trend (PVT) analysis • Rate of Change (ROC) momentum confirmation • Volume-Weighted Moving Average (VWMA) trend filter • Simple Moving Average (SMA) price smoothing • Signals only when all factors align ✅ DYNAMIC RISK VISUALIZATION (Educational Only) • ATR-based stop loss calculation • Risk-reward based take profit levels (1-5 targets) • Visual lines and labels showing entry, SL, and TPs • Automatically adapts to market volatility • ⚠️ VISUAL REFERENCE ONLY - Does not execute trades ✅ SUPPORT & RESISTANCE DETECTION • Automatic pivot-based level identification • Red dashed lines for resistance zones • Green dashed lines for support areas • Helps identify key price levels ✅ VWMA TREND BANDS • Volume-weighted moving average with standard deviation • Color-changing bands (Green = Uptrend, Red = Downtrend) • Filled band area for easy visualization • Volume-confirmed trend strength ✅ TREND DETECTION SYSTEM • Counting-based trend confirmation • Three states: Up Trend, Down Trend, Ranging • Requires threshold of consecutive bars • Independent trend validation ✅ PRICE RANGE VISUALIZATION • High/Low range lines showing market structure • Filled area highlighting price volatility • Helps identify breakout zones ✅ COMPREHENSIVE INFO TABLE • Real-time trend status • Last signal type (BUY/SELL) • Entry price display • Stop loss level • All active take profit levels • Clean, professional layout ✅ OPTIONAL FEATURES • Bar coloring by trend direction • Customizable alert notifications • Toggle visibility for all components • Fully configurable parameters 📊 HOW IT WORKS ═══════════════════════════════════════════════════════════════════ SIGNAL METHODOLOGY: BUY SIGNAL generates when ALL conditions are met: • Smoothed price > Moving Average (upward price trend) • PVT > PVT Average (volume supporting uptrend) • ROC > 0 (positive momentum) • Close > VWMA (above volume-weighted average) SELL SIGNAL generates when ALL conditions are met: • Smoothed price < Moving Average (downward price trend) • PVT < PVT Average (volume supporting downtrend) • ROC < 0 (negative momentum) • Close < VWMA (below volume-weighted average) This multi-factor approach filters out weak signals and waits for strong convergence before generating alerts. RISK CALCULATION: Stop Loss = Entry ± (ATR × SL Multiplier) • Uses Average True Range for volatility measurement • Automatically adjusts to market conditions Take Profit Levels = Entry ± (Risk Distance × TP Multiplier × Level) • Risk Distance = |Entry - Stop Loss| • Creates risk-reward based targets • Example: TP Multiplier 1.0 = 1:1, 2:2, 3:3 risk-reward ⚠️ NOTE: All risk levels are VISUAL REFERENCES for educational study. They do not execute trades automatically. ⚙️ SETTINGS GUIDE ═══════════════════════════════════════════════════════════════════ SIGNAL SETTINGS: • Signal Length (14): Main calculation period for averages • Smooth Length (8): Price data smoothing period • PVT Length (14): Price Volume Trend calculation period • ROC Length (9): Rate of Change momentum period RISK MANAGEMENT (Visual Only): • ATR Length (14): Volatility measurement lookback • SL Multiplier (2.2): Stop loss distance (× ATR) • TP Multiplier (1.0): Risk-reward ratio per TP level • TP Levels (1-5): Number of take profit targets to display • Show TP/SL Lines: Toggle visual reference lines SUPPORT & RESISTANCE: • Pivot Lookback (10): Sensitivity for S/R detection • Show SR: Toggle support/resistance lines VWMA BANDS: • VWMA Length (20): Volume-weighted average period • Show Bands: Toggle band visibility TREND DETECTION: • Trend Threshold (5): Consecutive bars required for trend PRICE LINES: • Period (20): High/low calculation lookback • Show: Toggle price range visualization DISPLAY OPTIONS: • Signals: Show/hide BUY/SELL labels • Table: Show/hide information panel • Color Bars: Enable trend-based bar coloring ALERTS: • Enable: Activate alert notifications for signals 💡 USAGE INSTRUCTIONS ═══════════════════════════════════════════════════════════════════ RECOMMENDED APPROACH: • Works on all timeframes (1m to Monthly) • Suitable for all markets (Stocks, Forex, Crypto, etc.) • Best used with additional analysis and confirmation • Always practice proper risk management ENTRY STRATEGY: 1. Wait for BUY or SELL signal to appear 2. Check trend table for trend confirmation 3. Verify VWMA band color matches signal direction 4. Look for nearby support/resistance confluence 5. Consider entering on next candle open 6. Use visual SL level for risk management EXIT STRATEGY: 1. Use TP levels as potential exit zones 2. Consider scaling out at multiple TP levels 3. Exit on opposite signal 4. Adjust stops as trade progresses 5. Account for spread and slippage TREND TRADING: • "Up Trend" → Focus on BUY signals • "Down Trend" → Focus on SELL signals • "Ranging" → Wait for clear trend or use range strategies 🎨 VISUAL ELEMENTS ═══════════════════════════════════════════════════════════════════ • GREEN VWMA BANDS → Bullish trend indication • RED VWMA BANDS → Bearish trend indication • ORANGE DASHED LINE → Entry price reference • RED SOLID LINE → Stop loss level • GREEN DOTTED LINES → Take profit targets • RED DASHED LINES → Resistance levels • GREEN DASHED LINES → Support levels • GREY FILLED AREA → Price high/low range • GREEN BUY LABEL → Long signal • RED SELL LABEL → Short signal • BLUE INFO TABLE → Current trade details • GREEN/RED BARS → Trend direction (optional) ⚠️ IMPORTANT NOTES ═══════════════════════════════════════════════════════════════════ RISK WARNING: • Trading involves substantial risk of loss • You can lose more than your initial investment • Past performance does not guarantee future results • No indicator is 100% accurate • Always use proper position sizing • Never risk more than you can afford to lose EDUCATIONAL PURPOSE: • This tool is for learning and research • Not a complete trading system • Should be combined with other analysis • Requires interpretation and context • Test thoroughly before live use • Consider consulting a financial advisor TECHNICAL LIMITATIONS: • Signals lag price action (all indicators lag) • False signals occur in choppy markets • Works better in trending conditions • Support/resistance levels are approximate • TP/SL levels are suggestions, not guarantees 📚 METHODOLOGY ═══════════════════════════════════════════════════════════════════ This indicator combines established technical analysis concepts: • Price Volume Trend (PVT): Volume-weighted price momentum • Rate of Change (ROC): Momentum measurement • Volume-Weighted Moving Average (VWMA): Trend identification • Average True Range (ATR): Volatility measurement (J. Welles Wilder) • Pivot Points: Support/resistance detection All methods are based on publicly available technical analysis principles. No proprietary or "secret" algorithms are used. ⚖️ FULL DISCLAIMER ═══════════════════════════════════════════════════════════════════ LIABILITY: The creator (Zakaria Safri) assumes NO liability for: • Trading losses or damages of any kind • Loss of capital or profits • Incorrect signal interpretation • Technical issues, bugs, or errors • Any consequences of using this tool USER RESPONSIBILITY: By using this indicator, you acknowledge that: • You are solely responsible for your trading decisions • You understand the substantial risks involved • You will not hold the creator liable for losses • You will conduct your own research and analysis • You may consult a licensed financial professional • You are using this tool entirely at your own risk AS-IS PROVISION: This indicator is provided "AS IS" without warranty of any kind, express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, or non-infringement. The creator is not a registered investment advisor, financial planner, or broker-dealer. This tool is not approved or endorsed by any financial authority. 📞 ABOUT THE CREATOR ═══════════════════════════════════════════════════════════════════ Created by: Zakaria Safri Specialization: Technical analysis indicator development Focus: Multi-factor analysis, risk visualization, trend detection This is an educational tool designed to demonstrate technical analysis concepts and multi-factor signal generation methods. 📋 VERSION INFO ═══════════════════════════════════════════════════════════════════ Version: 1.0 Platform: TradingView Pine Script v5 License: Mozilla Public License 2.0 Creator: Zakaria Safri Year: 2024 ═══════════════════════════════════════════════════════════════════ Study Carefully, Trade Wisely, Manage Risk Properly TradeVision Pro - Educational Trading Tool Created by Zakaria Safri ═══════════════════════════════════════════════════════════════════
Pine Script® インジケーター
zakariasafri47の投稿
2
Pro Scalper - Kalman Supertrend with Dynamic OB/OS Zones═══════════════════════════════════════════════════════════════════ PRO SCALPER - KALMAN SUPERTREND WITH DYNAMIC OB/OS ZONES Developed by Zakaria Safri ═══════════════════════════════════════════════════════════════════ A powerful day trading and scalping indicator designed for the 30-minute timeframe, combining advanced Kalman filtering with Supertrend analysis and VWMA-based overbought/oversold detection for stocks and cryptocurrencies. 🎯 KEY FEATURES ═══════════════════════════════════════════════════════════════════ ✅ Kalman-Filtered Supertrend • Advanced noise reduction using Kalman Filter mathematics • Reduces false signals by filtering market noise • Adaptive trend-following with dynamic support/resistance ✅ Clear Buy/Sell Signals • Green "BUY" labels for long entries • Red "SELL" labels for short entries • Signals trigger on confirmed trend reversals • Matrix-style candle coloring (Green=Bull, Red=Bear) ✅ Dynamic Overbought/Oversold Zones • VWMA-based adaptive zones • Automatically adjusts to market volatility • Visual zone highlighting with fills ✅ Reversal Signal Detection • "R" markers identify potential reversals • Vertical lines highlight reversal bars • Based on price rejection from OB/OS zones ✅ Smart Take Profit System • Automatic TP levels at OB/OS zones • "X" markers when targets are hit • Based on higher-high/lower-low logic ✅ Live Entry Price Table • Shows current trend direction • Displays last signal type (BUY/SELL) • Real-time entry price tracking ✅ Comprehensive Alert System • Buy/Sell signal alerts • Reversal detection alerts • Take profit hit notifications • All alerts are non-repainting 📊 HOW IT WORKS ═══════════════════════════════════════════════════════════════════ 1. KALMAN FILTER The indicator applies Kalman filtering to price and ATR data, using mathematical equations derived from Rudolf E. Kalman's work. This advanced filtering technique: • Smooths price data while maintaining responsiveness • Removes outliers and reduces market noise • Adapts to changing market conditions • Improves signal accuracy and reliability 2. MODIFIED SUPERTREND A customized Supertrend calculation that uses: • Kalman-filtered HL2 price instead of raw prices • Filtered ATR for volatility measurement • Adaptive trailing bands that follow price • Trend detection with minimal lag 3. VWMA DYNAMIC ZONES Volume-Weighted Moving Average bands that: • Calculate from highest/lowest prices over lookback period • Adapt to current volatility and price range • Identify true overbought/oversold conditions • Provide logical take-profit targets 4. SIGNAL GENERATION • BUY: When price breaks above Supertrend (trend flips bullish) • SELL: When price breaks below Supertrend (trend flips bearish) • REVERSAL: When price rejects from OB/OS zones • TAKE PROFIT: When price reaches target zones or forms HH/LL ⚙️ SETTINGS GUIDE ═══════════════════════════════════════════════════════════════════ 🔧 KALMAN FILTER SETTINGS ┌─────────────────────────────────────────────────────────────┐ │ Gain (0.7) → Higher = More responsive, Less smooth │ │ Momentum (0.3) → Higher = More momentum, Less filtering │ └─────────────────────────────────────────────────────────────┘ 📈 SUPERTREND SETTINGS ┌─────────────────────────────────────────────────────────────┐ │ ATR Period (10) → Lookback for volatility calculation │ │ ATR Multiplier (3.0) → Distance of bands (lower = more sigs)│ └─────────────────────────────────────────────────────────────┘ 📊 VWMA BANDS (OB/OS ZONES) ┌─────────────────────────────────────────────────────────────┐ │ VWMA Length (20) → Smoothing period │ │ Overbought Multiplier (1.5) → OB zone distance │ │ Oversold Multiplier (1.5) → OS zone distance │ │ Band Lookback (20) → Range calculation period │ └─────────────────────────────────────────────────────────────┘ 💡 USAGE INSTRUCTIONS ═══════════════════════════════════════════════════════════════════ RECOMMENDED SETUP: • Timeframe: 30 minutes (optimized for intraday trading) • Markets: Stocks, Cryptocurrencies, Forex • Risk Management: Always use stop losses • Confirmation: Combine with volume and support/resistance ENTRY SIGNALS: 1. Wait for BUY/SELL label to appear 2. Check trend direction (candle color) 3. Confirm entry on next candle open 4. Set stop loss below/above Supertrend line EXIT SIGNALS: 1. Take profit at "X" markers 2. Exit on opposite signal 3. Exit on reversal "R" if against your position 4. Manual exit at predetermined R:R ratio REVERSAL TRADING: 1. Wait for "R" marker in OB/OS zone 2. Confirm with candlestick pattern 3. Enter counter-trend trade 4. Target middle VWMA or opposite zone 🎨 VISUAL ELEMENTS ═══════════════════════════════════════════════════════════════════ • GREEN LINE → Bullish Supertrend (support) • RED LINE → Bearish Supertrend (resistance) • CYAN LINE → VWMA baseline • RED ZONE → Overbought area • GREEN ZONE → Oversold area • GREEN CANDLES → Bullish trend active • RED CANDLES → Bearish trend active • BUY LABEL → Long entry signal • SELL LABEL → Short entry signal • R MARKER → Reversal signal • X MARKER → Take profit hit ⚠️ IMPORTANT NOTES ═══════════════════════════════════════════════════════════════════ ✓ NON-REPAINTING: All signals are confirmed on candle close ✓ BACKTESTING: Test on your specific market before live trading ✓ RISK MANAGEMENT: Use proper position sizing and stop losses ✓ MARKET CONDITIONS: Works best in trending and range-bound markets ✓ CONFLUENCE: Combine with other analysis for best results ⚡ Best Performance: • Trending markets with clear momentum • Moderate to high volatility environments • 30-minute to 1-hour timeframes • Liquid markets with tight spreads ⚠️ Avoid Using: • During major news events (high slippage) • In extremely choppy/sideways markets • On illiquid assets with wide spreads • Without proper risk management 📚 METHODOLOGY ═══════════════════════════════════════════════════════════════════ This indicator combines three proven technical analysis methods: 1. TREND FOLLOWING (Supertrend) Captures major price movements and momentum 2. MEAN REVERSION (VWMA Zones) Identifies extremes and potential reversals 3. NOISE FILTERING (Kalman) Reduces false signals and improves accuracy By integrating these approaches with volume weighting and adaptive calculations, the Pro Scalper provides a comprehensive trading system suitable for active traders and scalpers. ⚖️ DISCLAIMER ═══════════════════════════════════════════════════════════════════ This indicator is provided for educational and informational purposes only. It does not constitute financial advice, and past performance does not guarantee future results. Trading carries substantial risk of loss and is not suitable for all investors. Always: • Do your own research and analysis • Use proper risk management • Never risk more than you can afford to lose • Test thoroughly before live trading • Consult a financial advisor if needed The creator (Zakaria Safri) assumes no liability for trading losses incurred using this indicator. 📞 ABOUT THE DEVELOPER ═══════════════════════════════════════════════════════════════════ Developer: Zakaria Safri Specialization: Advanced algorithmic trading indicators Focus: Noise reduction, signal filtering, and trend analysis • Regular updates and improvements • Community feedback integration • Bug fixes and optimization • Feature requests welcome 📋 VERSION INFO ═══════════════════════════════════════════════════════════════════ Version: 1.0 Created: 2024 License: Mozilla Public License 2.0 Author: Zakaria Safri ═══════════════════════════════════════════════════════════════════ Happy Trading! 📈 Developed with precision by Zakaria Safri ═══════════════════════════════════════════════════════════════════
Pine Script® インジケーター
zakariasafri47の投稿
8
Smart Structure Pro - Market Structure & Smart Money Concepts═══════════════════════════════════════════════════════════════════════════════ SMART STRUCTURE PRO ═══════════════════════════════════════════════════════════════════════════════ A comprehensive market structure analysis tool that identifies institutional trading patterns and smart money concepts for improved trade timing and decision-making. ═══════════════════════════════════════════════════════════════════════════════ 📊 WHAT IT DOES ═══════════════════════════════════════════════════════════════════════════════ This indicator automatically detects and visualizes key market structure elements: 🔹 BOS (Break of Structure) - Identifies trend continuation patterns - Marks when price breaks above previous highs (bullish) or below previous lows (bearish) - Confirms trend strength and momentum 🔹 CHoCH (Change of Character) - Detects potential trend reversals - Alerts when market structure shifts from bullish to bearish or vice versa - Helps identify early reversal opportunities 🔹 Order Blocks - Highlights institutional entry zones - Identifies the last opposite candle before a structure break - Shows areas where smart money likely entered positions 🔹 Fair Value Gaps (FVG) - Detects price imbalances and inefficiencies - Shows areas where price moved rapidly leaving gaps - Often act as support/resistance when retested 🔹 Liquidity Zones - Marks swing high and low levels - Identifies areas where stop losses likely cluster - Shows potential stop hunt and liquidity grab zones ═══════════════════════════════════════════════════════════════════════════════ 🎯 HOW TO USE ═══════════════════════════════════════════════════════════════════════════════ BULLISH SETUP: 1. Wait for Bullish CHoCH (trend reversal signal) or BOS ↑ (continuation) 2. Look for price to pull back into an Order Block or Fair Value Gap 3. Enter long when price bounces from these zones 4. Place stop loss below the Order Block 5. Target the next liquidity zone or resistance level BEARISH SETUP: 1. Wait for Bearish CHoCH (trend reversal signal) or BOS ↓ (continuation) 2. Look for price to retrace into an Order Block or Fair Value Gap 3. Enter short when price rejects from these zones 4. Place stop loss above the Order Block 5. Target the next liquidity zone or support level DASHBOARD INTERPRETATION: • Trend: Current market direction (Bullish/Bearish) • Volume: Confirmation strength (High volume = stronger signals) • Signal: Latest structure break detected • Key High/Low: Critical levels for the current trend • Position: Price location (Premium = expensive, Discount = cheap) ═══════════════════════════════════════════════════════════════════════════════ ⚙️ SETTINGS GUIDE ═══════════════════════════════════════════════════════════════════════════════ STRUCTURE DETECTION: • Pivot Length (Default: 10) - Lower values = More signals but potentially weaker - Higher values = Fewer signals but stronger/more reliable - Recommended: 8-12 for intraday, 10-15 for higher timeframes • Structure Line Extension - Visual preference for how far lines extend - Does not affect signal detection SMART MONEY CONCEPTS: • Order Block Extension: How long OB boxes remain visible • FVG Extension: How long gap boxes remain visible • Min FVG Size: Filter out small gaps (0 = show all) - Set to 10-20% to reduce noise - Set to 0 to see all gaps VOLUME FILTER: • Volume Confirmation (Recommended: ON) - Filters weak signals without volume support - Reduces false breakouts • Volume Multiplier (Default: 1.5) - Higher = Stricter filtering (fewer but stronger signals) - Lower = More signals (but may include weak ones) DISPLAY: • Dashboard: Toggle information panel • Trend Background: Subtle color tint showing current trend • Dashboard Position: Choose corner placement ═══════════════════════════════════════════════════════════════════════════════ 🔔 ALERTS ═══════════════════════════════════════════════════════════════════════════════ Available alert conditions: ✓ Bullish BOS - Uptrend continuation confirmed ✓ Bearish BOS - Downtrend continuation confirmed ✓ Bullish CHoCH - Reversal to uptrend detected ✓ Bearish CHoCH - Reversal to downtrend detected ✓ Structure Break - Any significant market structure change To set up alerts: 1. Click the "⏰" alert icon 2. Select "Smart Structure Pro" 3. Choose your desired condition 4. Configure notification method 5. Click "Create" ═══════════════════════════════════════════════════════════════════════════════ ⚠️ IMPORTANT DISCLOSURES ═══════════════════════════════════════════════════════════════════════════════ REPAINTING BEHAVIOR: • Pivot points WILL repaint until confirmed (this is by design and unavoidable) • Structure breaks (BOS/CHoCH) use CLOSED candles and do NOT repaint after confirmation • Order Blocks and FVGs are drawn on confirmed signals and do NOT repaint • All signals wait for candle close before triggering BEST PRACTICES: • Use on higher timeframes (15min+) for more reliable signals • Combine with other analysis (support/resistance, volume profile, etc.) • Wait for candle close confirmation before acting on signals • Use proper risk management - this is not a standalone trading system • Backtest on your preferred instrument and timeframe PERFORMANCE: • Limited to 100 boxes, 100 lines, 100 labels for optimal performance • Older objects automatically removed as new ones appear • Works on all markets (Forex, Crypto, Stocks, Indices, Commodities) ═══════════════════════════════════════════════════════════════════════════════ 📚 CONCEPTS EXPLAINED ═══════════════════════════════════════════════════════════════════════════════ MARKET STRUCTURE: Market structure refers to the pattern of price movements creating swing highs and lows. Understanding structure helps identify trend direction and potential reversal points. SMART MONEY CONCEPTS: These are trading techniques based on tracking institutional order flow and understanding where large players (banks, funds, institutions) enter and exit positions. ORDER BLOCKS: The last opposing candle before a strong directional move. Institutions often leave unfilled orders in these zones, which can act as support/resistance when price returns. FAIR VALUE GAPS: Areas where price moved so quickly that it left an imbalance. These gaps often get "filled" as price returns to find equilibrium, creating trading opportunities. ═══════════════════════════════════════════════════════════════════════════════ 🎓 EDUCATIONAL VALUE ═══════════════════════════════════════════════════════════════════════════════ This indicator helps traders: ✓ Understand market structure mechanics ✓ Identify institutional trading patterns ✓ Improve trade timing and entry precision ✓ Recognize trend continuation vs reversal ✓ Learn smart money concepts through visualization ═══════════════════════════════════════════════════════════════════════════════ 📋 TECHNICAL DETAILS ═══════════════════════════════════════════════════════════════════════════════ • Version: 1.0.0 • Pine Script Version: 5 • Indicator Type: Overlay • No Repainting: Structure breaks use confirmed candles • Performance Optimized: Limited drawing objects • Works On: All markets and timeframes • Alerts: Yes, fully customizable ═══════════════════════════════════════════════════════════════════════════════ 👤 AUTHOR ═══════════════════════════════════════════════════════════════════════════════ Created by: Zakaria Safri Original Work: All code and concepts are original implementations Based On: ICT (Inner Circle Trader) educational concepts License: © 2024 Zakaria Safri - Personal Use Only ═══════════════════════════════════════════════════════════════════════════════ ⚖️ DISCLAIMER ═══════════════════════════════════════════════════════════════════════════════ This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own research and consult with a licensed financial advisor before making trading decisions. The author is not responsible for any losses incurred from using this indicator. ═══════════════════════════════════════════════════════════════════════════════ If you find this indicator helpful, please: 👍 Like and favorite ⭐ Leave a review 📢 Share with other traders 💬 Comment with feedback or suggestions Happy Trading! 📈
Pine Script® インジケーター
zakariasafri47の投稿
6
Bitcoin Cycle History Visualization [SwissAlgo]BTC 4-Year Cycle Tops & Bottoms Historical visualization of Bitcoin's market cycles from 2010 to present, with projections based on weighted averages of past performance. ----------------------------------------------------------------- CALCULATION METHODOLOGY Why Bottom-to-Bottom Cycle Measurement? This indicator defines cycles as bottom-to-bottom periods. This is one of several valid approaches to Bitcoin cycle analysis: - Focuses on market behavior (price bottoms) rather than supply schedule events (halving-to-halving) - Bottoms may offer good reference points for some analytical purposes - Tops tend to be extended periods that are harder to define precisely - Aligns with how some traditional asset cycles are measured and the timing observed in the broader "risk-on" assets category - Halving events are shown separately (yellow backgrounds) for reference - Neither halving-based nor bottom-based measurement is inherently superior Different analysts prefer different cycle definitions based on their analytical goals. This approach prioritizes observable market turning points. Cycle Date Definitions - Approximate monthly ranges used for each event (e.g., Nov 2022 bottom = Nov 1-30, 2022) - Cycle 1: Jul 2010 bottom → Jun 2011 top → Nov 2011 bottom - Cycle 2: Nov 2011 bottom → Dec 2013 top → Jan 2015 bottom - Cycle 3: Jan 2015 bottom → Dec 2017 top → Dec 2018 bottom - Cycle 4: Dec 2018 bottom → Nov 2021 top → Nov 2022 bottom - Future cycles will be added as new top/bottom dates become firm Duration Calculations - Days = timestamp difference converted to days (milliseconds ÷ 86,400,000) - Bottom → Top: days from cycle bottom to peak - Top → Bottom: days from peak to next cycle bottom - Bottom → Bottom: full cycle duration (sum of above) Price Change Calculations - % Change = ((New Price - Old Price) / Old Price) × 100 - Example: $200 → $19,700 = ((19,700 - 200) / 200) × 100 = 9,750% gain - Approximate historical prices used (rounded to significant figures) Weighted Average Formula Recent cycles weighted more heavily to reflect the evolved market structure: - Cycle 1 (2010-2011): EXCLUDED (too early-stage, tiny market cap) - Cycle 2 (2011-2015): Weight = 1x - Cycle 3 (2015-2018): Weight = 3x - Cycle 4 (2018-2022): Weight = 5x Formula: Weighted Avg = (C2×1 + C3×3 + C4×5) / (1+3+5) Example for Bottom→Top days: (761×1 + 1065×3 + 1066×5) / 9 = 1,032 days Projection Method - Projected Top Date = Nov 2022 bottom + weighted avg Bottom→Top days - Projected Bottom Date = Nov 2022 bottom + weighted avg Bottom→Bottom days - Current days elapsed compared to weighted averages - Warning symbol (⚠) shown when the current cycle exceeds the historical average Technical Implementation - Historical cycle dates are hardcoded (not algorithmically detected) - Dates represent approximate monthly ranges for each event - The indicator will be updated as the Cycle 5 top and bottom dates become confirmed - Updates require manual code maintenance - not automatic - Users should verify they're using the latest version for current cycle data ----------------------------------------------------------------- FEATURES - Background highlights for historical tops (red), bottoms (green), and halving events (yellow) - Data table showing cycle durations and price changes - Visual cycle boundary boxes with subtle coloring - Projected timeframes displayed as dashed vertical lines - Toggle on/off for each visual element - Customizable background colors ----------------------------------------------------------------- DISPLAY SETTINGS - Show/hide cycle tops, bottoms, halvings, data table, and cycle boxes - Customizable background colors for each event type - Clean, institutional-grade visual design suitable for analysis UPDATES & MAINTENANCE This indicator is maintained as new cycle events occur. When Cycle 5's top and bottom are confirmed with sufficient time elapsed, the code and projections will be updated accordingly. Check for the latest version periodically. OPEN SOURCE Code available for review, modification, and improvement. Educational transparency is prioritized. ----------------------------------------------------------------- IMPORTANT LIMITATIONS ⚠ EXTREMELY SMALL SAMPLE SIZE Based on only 4 complete cycles (2011-2022). In statistical analysis, this is insufficient for reliable predictions. ⚠ CHANGED MARKET STRUCTURE Bitcoin's market has fundamentally evolved since early cycles: - 2010-2015: Tiny market cap, retail-only, unregulated - 2024-2025: Institutional adoption, spot ETFs, regulatory frameworks, macro correlation The environment that created past patterns no longer exists in the same form. ⚠ NO PREDICTIVE GUARANTEE Historical patterns can and do break. Market cycles are not laws of physics. Past performance does not guarantee future results. The next cycle may not follow historical averages. ⚠ LENGTHENING CYCLE THEORY Some analysts believe cycles are extending over time (diminishing returns, maturing market). If true, simple averaging underestimates future cycle lengths. ⚠ SELF-FULFILLING PROPHECY RISK The halving narrative may be partially circular - it works because people believe it works. Sufficient changes in market structure or participant behavior can invalidate the pattern. ⚠ APPROXIMATE DATA Historical prices rounded to significant figures. Exact bottom/top dates vary by exchange. Month-long ranges are used for simplicity. EDUCATIONAL USE ONLY This indicator is designed for historical analysis and understanding Bitcoin's past behavior. It is NOT: - Trading advice or financial recommendations - A guarantee or prediction of future price movements - Suitable as a sole basis for investment decisions - A replacement for fundamental or technical analysis The projections show "what if the pattern continues exactly" - not "what will happen." Always conduct independent research, understand the risks, and consult qualified financial advisors before making investment decisions. Only invest what you can afford to lose.
Pine Script® インジケーター
SwissAlgoの投稿
Bitcoin Halving Strategy A systematic, data-driven trading strategy based on Bitcoin's 4-year halving cycles. This strategy capitalizes on historical price patterns that emerge around halving events, providing clear entry and exit signals for both accumulation and profit-taking phases. 🎯 Strategy Overview This automated trading system identifies optimal buy and sell zones based on the predictable Bitcoin halving cycle that occurs approximately every 4 years. By analyzing historical data from all previous halvings (2012, 2016, 2020, 2024), the strategy pinpoints high-probability trading opportunities. 📊 Key Features Automated Signal Generation: Buy signals at halving events and DCA zones, sell signals at profit-taking peaks Multi-Phase Analysis: Tracks Accumulation, Profit Taking, Bear Market, and DCA phases Visual Dashboard: Real-time performance metrics, phase countdown, and position tracking Backtesting Enabled: Comprehensive historical performance analysis with configurable parameters Risk Management: Built-in position sizing, slippage control, and optional short trading ⚙️ Strategy Logic Buy Signals: At halving event (Week 0) DCA zone entry (Week 135 post-halving) Sell Signals: Profit-taking zone (Week 80 post-halving) Optional short position entry for advanced traders 📈 Performance Highlights Captures major bull run profits while avoiding prolonged bear markets Clear visual indicators for all phases and transitions Customizable timing parameters for personalized risk tolerance Professional dashboard with live P&L, win rate, and drawdown metrics 🛠️ Customization Options Adjustable phase timing (profit start/end, DCA timing) Position sizing control Enable/disable short trading Visual customization (colors, labels, zones) Table positioning and transparency ⚠️ Risk Disclosure Past performance does not guarantee future results. This strategy is based on historical halving cycle patterns and should be used as part of a comprehensive trading plan. Always conduct your own research and consider your risk tolerance before trading. 💡 Ideal For Long-term Bitcoin investors seeking systematic entry/exit points Swing traders capitalizing on multi-month trends Portfolio managers implementing cycle-based allocation strategies
Pine Script® ストラテジー
Bayan_dzuqiの投稿
my_strategy_2.0Overview: This is a high-speed scalping strategy optimized for volatile crypto assets (BTC, ETH, etc.) on timeframes 1m–5m. It combines trend-following SuperTrend with confirmations from MACD, RSI, Bollinger Bands, and volume spikes for precise entries. Focus on quick profits (1–3 ATR) with strict risk control: partial take-profits, stop-loss, and trailing breakeven after the first TP. Key Signals: Long: SuperTrend flip up + MACD crossover up + RSI >50 + BB Upper breakout + volume spike + volatility filter (ATR >0.5%). Short: Similar but downward. Exits and Risks: TP: 33% at +1 ATR, 33% at +2 ATR, 34% at +3 ATR (customizable). SL: Initial at -1 ATR, after TP1 — to breakeven with trailing on BB midline (optional). Filters: Minimum ATR to avoid flat markets; realistic commissions in backtests. Recommendations: Test on 2020–2025 data (out-of-sample 2024+). Expected Win Rate ~55%, Profit Factor >1.8, Drawdown <10%. Ideal for 1–2% risk per trade. Not for beginners — use paper trading. Disclaimer: Past results do not guarantee future performance. Trade at your own risk. (Pine v6 code, ready for publication. Author: gopog777 with expert fixes.)
Pine Script® ストラテジー
gopog777の投稿
1
Japan Yen Carry Trade to Risk Ratio Sharpe Ratio By UncleBFMStep-by-Step Calculation in the ScriptFetch Rates:Pulls rates dynamically using request.security() from user-specified symbols (e.g., TVC:JP10Y for yen, TVC:US10Y for target). If unavailable (NA), uses fallback inputs (e.g., 0.25% for yen, 4.50% for target). Converts rates to decimals: (target_rate - yen_rate) / 100. Calculate Carry:Carry = (Target Rate - Yen Rate) / 100 Example: If US 10Y yield is 4.50% and Japan 10Y is 0.25%, carry = (4.50 - 0.25) / 100 = 0.0425 (4.25% annual yield). Calculate Daily Log Returns:Log Returns = ln(Close / Close ), where Close is the current price of the pair (e.g., USDJPY) and Close is the previous day's price. This measures daily percentage changes in a way suitable for volatility calculations. Calculate Annualized Volatility:Volatility = Standard Deviation of Log Returns over a lookback period (default 63 days, ~3 months) × √252. Example: If the standard deviation of USDJPY log returns is 0.005 (0.5% daily), annualized volatility = 0.005 × √252 ≈ 0.0794 (7.94%). Compute the Ratio:Ratio = Carry / Volatility Example: Using above, 0.0425 / 0.0794 ≈ 0.535. If volatility is zero, the ratio is set to NA to avoid division errors. Plot:Plots the ratio as a line, with optional thresholds (e.g., 0.2 for "high attractiveness") to guide interpretation. NotesDynamic Rates: Using bond yields (e.g., TVC:JP10Y) or policy rates (e.g., ECONOMICS:JPINTR) makes the indicator responsive to historical and current rate changes, unlike static inputs. Context: BIS reports use similar ratios to assess carry trade viability. For USDJPY in 2025, with Fed rates around 4.5% and BoJ at 0.25–0.5%, the carry is positive but sensitive to volatility spikes (e.g., during 2024 unwind events). Usage: Apply to a yen pair chart (e.g., USDJPY, AUDJPY). Adjust symbols for the target currency (e.g., TVC:AU10Y for AUD). The ratio helps compare carry trade profitability across pairs or over time.
Pine Script® インジケーター
bitcoinfundmgrの投稿
Swing Support and Resistance [Vijay]Swing-based support & resistance with breakout buy/sell signals and alerts. Full Description: The Swing Support and Resistance indicator is a simple yet effective tool to identify swing-based support and resistance levels using pivot points. Pivot Length: Defines how many bars on each side are used to confirm a swing high (resistance) or swing low (support). Support & Resistance: Plots the most recent pivot levels as visual markers (circles) on the chart. Buy & Sell Signals: A Buy Signal is triggered when price crosses above the last resistance. A Sell Signal is triggered when price crosses below the last support. Visual Cues: Arrows are plotted directly on the chart for easy signal recognition. Alerts: Built-in alert conditions allow you to set TradingView alerts for breakout signals. This script is useful for traders who rely on price action, breakout trading, and swing structure analysis. It helps quickly spot where price is breaking key levels and provides instant alerts for trade opportunities.
Pine Script® インジケーター
VSB-2024の投稿
Crypto Pulse Signals+ Precision Crypto Pulse Signals Institutional-grade background signals for BTC/ETH low-timeframe trading (2m/5m/15m). 🔵 BLUE TINT = Valid LONG signal (enter when candle closes) 🔴 RED TINT = Valid SHORT signal (enter when candle closes) 🌫️ NO TINT = No signal (avoid trading) ✅ BTC Momentum Filter: ETH signals only fire when BTC confirms (avoids 78% of fakeouts) ✅ Volatility-Adaptive: Signals auto-adjust to market conditions (no manual tuning) ✅ Dark Mode Optimized: Perfect contrast on all chart themes Pro Trading Protocol: Trade ONLY during NY/London overlap (12-16 UTC) Enter on candle close when tint appears Stop loss: Below/above signal candle's wick Take profit: 1.8x risk (68% win rate in backtests) Based on live trading during 2024 bull run - no repaint, no lag. 🔍 Why This Description Converts Element Purpose Clear visual cues "🔵 BLUE TINT = LONG" works instantly for scanners BTC filter emphasis Highlights institutional edge (ETH traders' #1 pain point) Time-specific protocol Filters out low-probability Asian session signals Backtested stats Builds credibility without hype ("68% win rate" = believable) Dark mode mention Targets 83% of crypto traders who use dark charts 📈 Real Dark Mode Performance (Tested on TradingView Dark Theme - ETH/USDT 5m chart) UTC Time Signal Color Visibility Result 13:27 🔵 LONG Perfect contrast against black background +4.1% in 11 min 15:42 🔴 SHORT Red pops without bleeding into red candles -3.7% in 8 min 03:19 None Zero visual noise during Asian session Avoided 2 fakeouts Pro Tip: On dark mode, the optimized #4FC3F7 blue creates a subtle "watermark" effect - visible in peripheral vision but never distracting from price action. ✅ How to Deploy Paste code into Pine Editor Apply to BTC/USDT or ETH/USDT chart (Binance/Kraken) Set timeframe to 2m, 5m, or 15m Trade signals ONLY between 12-16 UTC (NY/London overlap) This is what professional crypto trading desks actually use - stripped of all noise, optimized for real screens, and battle-tested in volatile markets. No bottom indicators. No clutter. Just pure signals.
Pine Script® インジケーター
jkdavis5の投稿
Awesome Indicator# Moving Average Ribbon with ADR% - Complete Trading Indicator ## Overview The **Moving Average Ribbon with ADR%** is a comprehensive technical analysis indicator that combines multiple analytical tools to provide traders with a complete picture of price trends, volatility, relative performance, and position sizing guidance. This multi-faceted indicator is designed for both swing and positional traders looking for data-driven entry and exit signals. ## Key Components ### 1. Moving Average Ribbon System - **4 Customizable Moving Averages** with default periods: 13, 21, 55, and 189 - **Multiple MA Types**: SMA, EMA, SMMA (RMA), WMA, VWMA - **Color-coded visualization** for easy trend identification - **Flexible configuration** allowing users to modify periods, types, and colors ### 2. Average Daily Range Percentage (ADR%) - Calculates the average daily volatility as a percentage - Uses a 20-period simple moving average of (High/Low - 1) * 100 - Helps traders understand the stock's typical daily movement range - Essential for position sizing and stop-loss placement ### 3. Volume Analysis (Up/Down Ratio) - Analyzes volume distribution over the last 55 periods - Calculates the ratio of volume on up days vs down days - Provides insight into buying vs selling pressure - Values > 1 indicate more buying volume, < 1 indicate more selling volume ### 4. Absolute Relative Strength (ARS) - **Dual timeframe analysis** with customizable reference points - **High ARS**: Performance relative to benchmark from a high reference point (default: Sep 27, 2024) - **Low ARS**: Performance relative to benchmark from a low reference point (default: Apr 7, 2025) - Uses NSE:NIFTY as default comparison symbol - Color-coded display: Green for outperformance, Red for underperformance ### 5. Relative Performance Table - **5 timeframes**: 1 Week, 1 Month, 3 Months, 6 Months, 1 Year - Shows stock performance **relative to benchmark index** - Formula: (Stock Return - Index Return) for each period - **Color coding**: - Lime: >5% outperformance - Yellow: -5% to +5% relative performance - Red: <-5% underperformance ### 6. Dynamic Position Allocation System - **6-factor scoring system** based on price vs EMAs (21, 55, 189) - Evaluates: - Price above/below each EMA - EMA alignment (21>55, 55>189, 21>189) - **Allocation recommendations**: - 100% allocation: Score = 6 (all bullish signals) - 75% allocation: Score = 4 - 50% allocation: Score = 2 - 25% allocation: Score = 0 - 0% allocation: Score = -2, -4, -6 (bearish signals) ## Display Tables ### Performance Table (Top Right) Shows relative performance vs benchmark across multiple timeframes with intuitive color coding for quick assessment. ### Metrics Table (Bottom Right) Displays key statistics: - **ADR%**: Average Daily Range percentage - **U/D**: Up/Down volume ratio - **Allocation%**: Recommended position size - **High ARS%**: Relative strength from high reference - **Low ARS%**: Relative strength from low reference ## How to Use This Indicator ### For Trend Analysis 1. **Moving Average Ribbon**: Look for price above ascending MAs for bullish trends 2. **MA Alignment**: Bullish when shorter MAs are above longer MAs 3. **Color coordination**: Use consistent color scheme for quick visual analysis ### For Entry/Exit Timing 1. **Performance Table**: Enter when showing consistent outperformance across timeframes 2. **Volume Analysis**: Confirm entries with U/D ratio > 1.5 for strong buying 3. **ARS Values**: Look for positive ARS readings for relative strength confirmation ### For Position Sizing 1. **Allocation System**: Use the recommended allocation percentage 2. **ADR% Consideration**: Adjust position size based on volatility 3. **Risk Management**: Lower allocation in high ADR% stocks ### For Risk Management 1. **ADR% for Stop Loss**: Set stops at 1-2x ADR% below entry 2. **Relative Performance**: Reduce positions when consistently underperforming 3. **Volume Confirmation**: Be cautious when U/D ratio deteriorates ## Best Practices ### Timeframe Recommendations - **Intraday**: Use lower MA periods (5, 13, 21, 55) - **Swing Trading**: Default settings work well (13, 21, 55, 189) - **Position Trading**: Consider higher periods (21, 50, 100, 200) ### Market Conditions - **Trending Markets**: Focus on MA alignment and relative performance - **Sideways Markets**: Rely more on ADR% for range trading - **Volatile Markets**: Reduce allocation percentage regardless of signals ### Customization Tips 1. Adjust reference dates for ARS calculation based on significant market events 2. Change comparison symbol to sector-specific indices for better relative analysis 3. Modify MA periods based on your trading style and market characteristics ## Technical Specifications - **Version**: Pine Script v6 - **Overlay**: Yes (plots on price chart) - **Real-time Updates**: Yes - **Data Requirements**: Minimum 252 bars for complete calculations - **Compatible Timeframes**: All standard timeframes ## Limitations - Performance calculations require sufficient historical data - ARS calculations depend on selected reference dates - Volume analysis may be less reliable in low-volume stocks - Relative performance is only as good as the chosen benchmark This indicator is designed to provide a comprehensive analysis framework rather than simple buy/sell signals. It's recommended to use this in conjunction with your overall trading strategy and risk management rules.
Pine Script® インジケーター
ShRaJaLの投稿
Supertrend EMA Vol Strategy V5### Supertrend EMA Strategy V5 **Overview** This is a trend-following strategy designed for cryptocurrency markets like BTC/USD on daily timeframes, combining the Supertrend indicator for dynamic trailing stops with an EMA filter for trend confirmation. It aims to capture strong uptrends while avoiding counter-trend trades, with optional volume filtering for high-conviction entries and ATR-based stop-loss to manage risk. Ideal for long-only setups in bullish assets, it visually highlights trends with green/red bands and fills for easy interpretation. Backtested on BTC from 2024-2025, it shows potential for outperforming buy-and-hold in trending markets, but always use with proper risk management—past performance isn't indicative of future results. **Key Features** - **Supertrend Core**: Uses ATR to plot adaptive uptrend (green) and downtrend (red) lines, flipping on closes beyond prior bands for buy/sell signals. - **EMA Trend Filter**: Entries require price above the EMA (default 21-period) for longs, ensuring alignment with the broader trend. - **Volume Confirmation**: Optional filter only allows entries when volume exceeds its EMA (default 20-period), reducing false signals in low-activity periods. - **Risk Controls**: Built-in ATR-multiplier stop-loss (default 2x) to cap losses; exits on Supertrend flips for trailing profits. - **Visuals**: Green/red lines and highlighter fills for up/down trends, plus buy/sell labels and circles for signals. - **Customizable Inputs**: Tweak ATR period (default 10), multiplier (default 3), EMA length, start date, long/short toggles, SL, and volume filter. - **Alerts**: Built-in for buy/sell and direction changes. **How to Use** 1. Add to your TradingView chart (e.g., BTC/USD 1D). 2. Adjust inputs: Start with defaults for trend-following; increase multiplier for fewer trades/higher win rate. Enable volume filter for volatile assets. 3. Monitor signals: Green "Buy" for long entries (if close > EMA and conditions met); red "Sell" for exits. 4. Backtest in Strategy Tester: Focus on equity curve, win rate (~50-60% in tests), and drawdown (<15% with SL). 5. Live Trading: Use small position sizes (1-2% risk per trade); combine with your analysis. Shorts disabled by default for bull-biased markets.
Pine Script® ストラテジー
d_jaegerの投稿
2
Bitcoin Logarithmic Growth Curve 2025 Z-Score"The Bitcoin logarithmic growth curve is a concept used to analyze Bitcoin's price movements over time. The idea is based on the observation that Bitcoin's price tends to grow exponentially, particularly during bull markets. It attempts to give a long-term perspective on the Bitcoin price movements. The curve includes an upper and lower band. These bands often represent zones where Bitcoin's price is overextended (upper band) or undervalued (lower band) relative to its historical growth trajectory. When the price touches or exceeds the upper band, it may indicate a speculative bubble, while prices near the lower band may suggest a buying opportunity. Unlike most Bitcoin growth curve indicators, this one includes a logarithmic growth curve optimized using the latest 2024 price data, making it, in our view, superior to previous models. Additionally, it features statistical confidence intervals derived from linear regression, compatible across all timeframes, and extrapolates the data far into the future. Finally, this model allows users the flexibility to manually adjust the function parameters to suit their preferences. The Bitcoin logarithmic growth curve has the following function: y = 10^(a * log10(x) - b) In the context of this formula, the y value represents the Bitcoin price, while the x value corresponds to the time, specifically indicated by the weekly bar number on the chart. How is it made (You can skip this section if you’re not a fan of math): To optimize the fit of this function and determine the optimal values of a and b, the previous weekly cycle peak values were analyzed. The corresponding x and y values were recorded as follows: 113, 18.55 240, 1004.42 451, 19128.27 655, 65502.47 The same process was applied to the bear market low values: 103, 2.48 267, 211.03 471, 3192.87 676, 16255.15 Next, these values were converted to their linear form by applying the base-10 logarithm. This transformation allows the function to be expressed in a linear state: y = a * x − b. This step is essential for enabling linear regression on these values. For the cycle peak (x,y) values: 2.053, 1.268 2.380, 3.002 2.654, 4.282 2.816, 4.816 And for the bear market low (x,y) values: 2.013, 0.394 2.427, 2.324 2.673, 3.504 2.830, 4.211 Next, linear regression was performed on both these datasets. (Numerous tools are available online for linear regression calculations, making manual computations unnecessary). Linear regression is a method used to find a straight line that best represents the relationship between two variables. It looks at how changes in one variable affect another and tries to predict values based on that relationship. The goal is to minimize the differences between the actual data points and the points predicted by the line. Essentially, it aims to optimize for the highest R-Square value. Below are the results: snapshot snapshot It is important to note that both the slope (a-value) and the y-intercept (b-value) have associated standard errors. These standard errors can be used to calculate confidence intervals by multiplying them by the t-values (two degrees of freedom) from the linear regression. These t-values can be found in a t-distribution table. For the top cycle confidence intervals, we used t10% (0.133), t25% (0.323), and t33% (0.414). For the bottom cycle confidence intervals, the t-values used were t10% (0.133), t25% (0.323), t33% (0.414), t50% (0.765), and t67% (1.063). The final bull cycle function is: y = 10^(4.058 ± 0.133 * log10(x) – 6.44 ± 0.324) The final bear cycle function is: y = 10^(4.684 ± 0.025 * log10(x) – -9.034 ± 0.063) The main Criticisms of growth curve models: The Bitcoin logarithmic growth curve model faces several general criticisms that we’d like to highlight briefly. The most significant, in our view, is its heavy reliance on past price data, which may not accurately forecast future trends. For instance, previous growth curve models from 2020 on TradingView were overly optimistic in predicting the last cycle’s peak. This is why we aimed to present our process for deriving the final functions in a transparent, step-by-step scientific manner, including statistical confidence intervals. It's important to note that the bull cycle function is less reliable than the bear cycle function, as the top band is significantly wider than the bottom band. Even so, we still believe that the Bitcoin logarithmic growth curve presented in this script is overly optimistic since it goes parly against the concept of diminishing returns which we discussed in this post: This is why we also propose alternative parameter settings that align more closely with the theory of diminishing returns." Now with Z-Score calculation for easy and constant valuation classification of Bitcoin according to this metric. Created for TRW
Pine Script® インジケーター
Commandoumの投稿
BUY in HASH RibbonsHash Ribbons Indicator (BUY Signal) A TradingView Pine Script v6 implementation for identifying Bitcoin miner capitulation (“Springs”) and recovery phases based on hash rate data. It marks potential low-risk buying opportunities by tracking short- and long-term moving averages of the network hash rate. ⸻ Key Features • Hash Rate SMAs • Short-term SMA (default: 30 days) • Long-term SMA (default: 60 days) • Phase Markers • Gray circle: Short SMA crosses below long SMA (start of capitulation) • White circles: Ongoing capitulation, with brighter white when the short SMA turns upward • Yellow circle: Short SMA crosses back above long SMA (end of capitulation) • Orange circle: Buy signal once hash rate recovery aligns with bullish price momentum (10-day price SMA crosses above 20-day price SMA) • Display Modes • Ribbons: Plots the two SMAs as colored bands—red for capitulation, green for recovery • Oscillator: Shows the percentage difference between SMAs as a histogram (red for negative, blue for positive) • Optional Overlays • Bitcoin halving dates (2012, 2016, 2020, 2024) with dashed lines and labels • Raw hash rate data in EH/s • Alerts • Configurable alerts for capitulation start, recovery, and buy signals ⸻ How It Works 1. Data Source: Fetches daily hash rate values from a selected provider (e.g., IntoTheBlock, Quandl). 2. Capitulation Detection: When the 30-day SMA falls below the 60-day SMA, miners are likely capitulating. 3. Recovery Identification: A rising 30-day SMA during capitulation signals miner recovery. 4. Buy Signal: Confirmed when the hash rate recovery coincides with a bullish shift in price momentum (10-day price SMA > 20-day price SMA). ⸻ Inputs Hash Rate Short SMA: 30 days Hash Rate Long SMA: 60 days Plot Signals: On Plot Halvings: Off Plot Raw Hash Rate: Off ⸻ Considerations • Timeframe: Best applied on daily charts to capture meaningful miner behavior. • Data Reliability: Ensure the chosen hash rate source provides consistent, gap-free data. • Risk Management: Use alongside other technical indicators (e.g., RSI, MACD) and fundamental analysis. • Backtesting: Evaluate performance over different market cycles before live deployment.
Pine Script® インジケーター
Tin2100の投稿
Portfolio Tracker ARJO (V-01)Portfolio Tracker ARJO (V-01) This indicator is a user-friendly portfolio tracking tool designed for TradingView charts. It overlays a customizable table on your chart to monitor up to 15 stocks or symbols in your portfolio. It calculates real-time metrics like current market price (CMP), gains/losses, and stoploss breaches, helping you stay on top of your investments without switching between multiple charts. The table uses color-coding for quick visual insights: green for profits, red for losses, and highlights breached stoplosses in red for alerts. It also shows portfolio-wide totals for overall performance. Key Features Supports up to 15 Symbols: Enter stock tickers (e.g., NSE:RELIANCE or BSE:TCS) with details like buy price, date, units, and stoploss. Symbol: The stock ticker and description. Buy Date: When you purchased it. Units: Number of shares/units held. Buy Price: Your entry price. Stop Loss: Your set stoploss level (highlighted in red if breached by CMP). CMP: Current market price (fetched from the chart's timeframe). % Gain/Loss: Percentage change from buy price (color-coded: green for positive, red for negative). Gain/Loss: Total monetary gain/loss based on units. Optional Timeframe Columns: Toggle to show % change over 1 Week (1W), 1 Month (1M), 3 Months (3M), and 6 Months (6M) for historical performance. Portfolio Summary: At the top of the table, see total % gain/loss and absolute gain/loss for your entire portfolio. Visual Customizations: Adjust table position (e.g., Top Right), size, colors for positive/negative values, and intensity cutoff for gradients. Benchmark Index-Based Header: The title row's background color reflects NIFTY's weekly trend (green if above 10-week SMA, red if below) for market context. Benchmark Index-Based Header: The title row's background color reflects NIFTY's weekly trend (green if above 10-week SMA, red if below) for market context. How to Use It: Step-by-Step Guide Add the Indicator to Your Chart: Search for "Portfolio Tracker ARJO (V-01)" in TradingView's indicator library and add it to any chart (preferably Daily timeframe for accuracy). Input Your Portfolio Symbols: Open the indicator settings (gear icon). In the "Symbol 1" to "Symbol 15" groups, fill in: Symbol: Enter the ticker (e.g., NSE:INFY). Year/Month/Day: Select your buy date (e.g., 2024-07-01). Buy Price: Your purchase price per unit. Stoploss: Your exit price if things go south. Units: How many shares you own. Only fill what you need—leave extras blank. The table auto-adjusts to show only entered symbols. Customize the Table (Optional): In "Table settings": Choose position (e.g., Top Right) and size (% of chart). Toggle "Show Timeframe Columns" to add 1W/1M/3M/6M performance. In "Color settings": Pick colors for positive (green) and negative (red) cells. Set "Color intensity cutoff (%)" to control how strong the colors get (e.g., 10% means changes above 10% max out the color). Interpret the Table on Your Chart: The table appears overlaid—scan rows for each symbol's stats. Look at colors: Greener = better gains; redder = bigger losses. Check CMP cell: Red means stoploss breached—consider selling! Portfolio Gain/Loss at the top gives a quick overall health check. For Best Results: Use on a Daily chart to avoid CMP errors (the script will warn if on Weekly/Monthly). Refresh the chart or wait for a new bar if data doesn't update immediately. For Indian stocks, prefix with NSE: or BSE: (e.g., BSE:RELIANCE). This is for tracking only—not trading signals. Combine with your strategy. If no symbols show, ensure inputs are valid (e.g., buy price > 0, valid date). Finally, this tool makes it quite easy for beginners to track their portfolios, while also giving advanced traders powerful and customizable insights. I'd love to hear your feedback—happy trading!
Pine Script® インジケーター
ARJO_2019の投稿
Auto Intelligence Selective Moving Average(AI/MA)# 🤖 Auto Intelligence Moving Average Strategy (AI/MA) **AI/MA** is a state-adaptive moving average crossover strategy designed to **maximize returns from golden cross / death cross logic** by intelligently switching between different MA types and parameters based on market conditions. --- ## 🎯 Objective To build a moving average crossover strategy that: - **Adapts dynamically** to market regimes (trend vs range, rising vs falling) - **Switches intelligently** between SMA, EMA, RMA, and HMA - **Maximizes cumulative return** under realistic backtesting --- ## 🧪 materials amd methods - **MA Types Considered**: SMA, EMA, RMA, HMA - **Parameter Ranges**: Periods from 5 to 40 - **Market Conditions Classification**: - Based on the slope of a central SMA(20) line - And the relative position of price to the central line - Resulting in 4 regimes: A (Bull), B (Pullback), C (Rebound), D (Bear) - **Optimization Dataset**: - **Bybit BTCUSDT.P** - **1-hour candles** - **2024 full-year** - **Search Process**: - **Random search**: 200 parameter combinations - Evaluated by: - `Cumulative PnL` - `Sharpe Ratio` - `Max Drawdown` - `R² of linear regression on cumulative PnL` - **Implementation**: - Optimization performed in **Python (Pandas + Matplotlib + Optuna-like logic)** - Final parameters ported to **Pine Script (v5)** for TradingView backtesting --- ## 📈 Performance Highlights (on optimization set) | Timeframe | Return (%) | Notes | |-----------|------------|----------------------------| | 6H | +1731% | Strongest performance | | 1D | +1691% | Excellent trend capture | | 12H | +1438% | Balance of trend/range | | 5min | +27.3% | Even survives scalping | | 1min | +9.34% | Robust against noise | - Leverage: 100x - Position size: 100% - Fees: 0.055% - Margin calls: **none** 🎯 --- ## 🛠 Technology Stack - `Python` for data handling and optimization - `Pine Script v5` for implementation and visualization - Fully state-aware strategy, modular and extendable --- ## ✨ Final Words This strategy is **not curve-fitted**, **not over-parameterized**, and has been validated across multiple timeframes. If you're a fan of dynamic, intelligent technical systems, feel free to use and expand it. 💡 The future of simple-yet-smart trading begins here.
Pine Script® ストラテジー
chikaharuの投稿
6
RSI-Adaptive T3 + Squeeze Momentum Strategy✅ Strategy Guide: RSI-Adaptive T3 + Squeeze Momentum Strategy 📌 Overview The RSI-Adaptive T3 + Squeeze Momentum Strategy is a dynamic trend-following strategy based on an RSI-responsive T3 moving average and Squeeze Momentum detection . It adapts in real-time to market volatility to enhance entry precision and optimize risk. ⚠️ This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. 🎯 Strategy Objectives The main objective of this strategy is to catch the early phase of a trend and generate consistent entry signals. Designed to be intuitive and accessible for traders from beginner to advanced levels. ✨ Key Features RSI-Responsive T3: T3 length dynamically adjusts according to RSI values for adaptive trend detection Squeeze Momentum: Combines Bollinger Bands and Keltner Channels to identify trend buildup phases Visual Triggers: Entry signals are generated from T3 crossovers and momentum strength after squeeze release 📊 Trading Rules Long Entry: When T3 crosses upward, momentum is positive, and the squeeze has just been released. Short Entry: When T3 crosses downward, momentum is negative, and the squeeze has just been released. Exit (Reversal): When the opposite condition to the entry is triggered, the position is reversed. 💰 Risk Management Parameters Pair & Timeframe: BTC/USD (30-minute chart) Capital (simulated): $30,00 Order size: `$100` per trade (realistic, low-risk sizing) Commission: 0.02% Slippage: 2 pips Risk per Trade: 5% Number of Trades (backtest period): 181 📊 Performance Overview Symbol: BTC/USD Timeframe: 30-minute chart Date Range: January 1, 2024 – July 3, 2025 Win Rate: 47.8% Profit Factor: 2.01 Net Profit: 173.16 (units not specified) Max Drawdown: 5.77% or 24.91 (0.79%) ⚙️ Indicator Parameters Indicator Name: RSI-Adaptive T3 + Squeeze Momentum RSI Length: 14 T3 Min Length: 5 T3 Max Length: 50 T3 Volume Factor: 0.7 BB Length: 27 (Multiplier: 2.0) KC Length: 20 (Multiplier: 1.5, TrueRange enabled) 🖼 Visual Support T3 slope direction, squeeze status, and momentum bars are visually plotted on the chart, providing high clarity for quick trend analysis and execution. 🔧 Strategy Improvements & Uniqueness Inspired by the RSI Adaptive T3 by ChartPrime and Squeeze Momentum Indicator by LazyBear , this strategy fuses both into a hybrid trend-reversal and momentum breakout detection system . Compared to traditional trend-following methods, it excels at capturing early trend signals with greater sensitivity . ✅ Summary The RSI-Adaptive T3 + Squeeze Momentum Strategy combines momentum detection with volatility-responsive risk management. With a strong balance between visual clarity and practicality, it serves as a powerful tool for traders seeking high repeatability. ⚠️ This strategy is based on historical data and does not guarantee future profits. Always use appropriate risk management when applying it.
Pine Script® ストラテジー
PakunFXの投稿
S4_IBS_Mean_Rev_3candleExitOverview: This is a rules-based, mean reversion strategy designed to trade pullbacks using the Internal Bar Strength (IBS) indicator. The system looks for oversold conditions based on IBS, then enters long trades , holding for a maximum of 3 bars or until the trade becomes profitable. The strategy includes: ✅ Strict entry rules based on IBS ✅ Hardcoded exit conditions for risk management ✅ A clean visual table summarizing key performance metrics How It Works: 1. Internal Bar Strength (IBS) Setup: The IBS is calculated using the previous bar’s price range: IBS = (Previous Close - Previous Low) / (Previous High - Previous Low) IBS values closer to 0 indicate price is near the bottom of the previous range, suggesting oversold conditions. 2. Entry Conditions: IBS must be ≤ 0.25, signaling an oversold setup. Trade entries are only allowed within a user-defined backtest window (default: 2024). Only one trade at a time is permitted (long-only strategy). 3. Exit Conditions: If the price closes higher than the entry price, the trade exits with a profit. If the trade has been open for 3 bars without showing profit, the trade is forcefully exited. All trades are closed automatically at the end of the backtest window if still open. Additional Features: 📊 A real-time performance metrics table is displayed on the chart, showing: - Total trades - % of profitable trades - Total P&L - Profit Factor - Max Drawdown - Best/Worst trade performance 📈 Visual markers indicate trade entries (green triangle) and exits (red triangle) for easy chart interpretation. Who Is This For? This strategy is designed for: ✅ Traders exploring systematic mean reversion approaches ✅ Those who prefer strict, rules-based setups with no subjective decision-making ✅ Traders who want built-in performance tracking directly on the chart Note: This strategy is provided for educational and research purposes. It is a backtested model and past performance does not guarantee future results. Users should paper trade and validate performance before considering real capital.
Pine Script® ストラテジー
Trading_Alpha01の投稿