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Wolfe Wave PatternHello All! For a while now, some of my followers have been asking me to develop Wolfe Wave Pattern . Here it's at your service as open-source and public indicator. How it works? - On each bar/tick it checks zigzag waves by using base period and updates the array that is used to keep zigzag levels and locations. Base period in the settings is the minimum zigzag period - Then it searches if there is new bullish/bearish Wolfe Wave pattern according to last wave direction - Before searching the pattern it calculates all possible 1234 waves. So any wave in 12345 uses base period or higher. it means that it search all possible candidates. This algorithm is much better than using a few zigzag periods. - After getting all possible candidates, it checks if any of the found candidates is suitable for Wolfe Wave pattern and keeps them in a matrix - if there are suitable candidate(s) it shows the latest one and triggers the alert - it also follows the targets and if the price hits any of the target it extends the line and trigger the alert - it doesn't check if any of the patterns hits stop-loss. Options: Base Period: minimum period to create the zigzag Error Rate: there are usually so few perfect patterns, so we better consider deviation. if error rate is low than it finds less pattern with more accuracy, if error rate is high than it finds more pattern with less accuracy - The other options are used for coloring the patterns and lines Some examples: P.S. I didn't have enough time to test the indicator, so please drop a comment if you see any issue while using it Enjoy!
Indicatore Pine Script®
di LonesomeTheBlue
3
Quantum Market Analyzer X7Quantum Market Analyzer X7 - Complete Study Guide Table of Contents 1. Overview 2. Indicator Components 3. Signal Interpretation 4. Live Market Analysis Guide 5. Best Practices 6. Limitations and Considerations 7. Risk Disclaimer ________________________________________ Overview The Quantum Market Analyzer X7 is a comprehensive multi-timeframe technical analysis indicator that combines traditional and modern analytical methods. It aggregates signals from multiple technical indicators across seven key analysis categories to provide traders with a consolidated view of market sentiment and potential trading opportunities. Key Features: • Multi-Indicator Analysis: Combines 20+ technical indicators • Real-Time Dashboard: Professional interface with customizable display • Signal Aggregation: Weighted scoring system for overall market sentiment • Advanced Analytics: Includes Order Block detection, Supertrend, and Volume analysis • Visual Progress Indicators: Easy-to-read progress bars for signal strength ________________________________________ Indicator Components 1. Oscillators Section Purpose: Identifies overbought/oversold conditions and momentum changes Included Indicators: • RSI (14): Relative Strength Index - momentum oscillator • Stochastic (14): Compares closing price to price range • CCI (20): Commodity Channel Index - cycle identification • Williams %R (14): Momentum indicator similar to Stochastic • MACD (12,26,9): Moving Average Convergence Divergence • Momentum (10): Rate of price change • ROC (9): Rate of Change • Bollinger Bands (20,2): Volatility-based indicator Signal Interpretation: • Strong Buy (6+ points): Multiple oscillators indicate oversold conditions • Buy (2-5 points): Moderate bullish momentum • Neutral (-1 to 1 points): Balanced conditions • Sell (-2 to -5 points): Moderate bearish momentum • Strong Sell (-6+ points): Multiple oscillators indicate overbought conditions 2. Moving Averages Section Purpose: Determines trend direction and strength Included Indicators: • SMA: 10, 20, 50, 100, 200 periods • EMA: 10, 20, 50 periods Signal Logic: • Price >2% above MA = Strong Buy (+2) • Price above MA = Buy (+1) • Price below MA = Sell (-1) • Price >2% below MA = Strong Sell (-2) Signal Interpretation: • Strong Buy (6+ points): Price well above multiple MAs, strong uptrend • Buy (2-5 points): Price above most MAs, bullish trend • Neutral (-1 to 1 points): Mixed MA signals, consolidation • Sell (-2 to -5 points): Price below most MAs, bearish trend • Strong Sell (-6+ points): Price well below multiple MAs, strong downtrend 3. Order Block Analysis Purpose: Identifies institutional support/resistance levels and breakouts How It Works: • Detects historical levels where large orders were placed • Monitors price behavior around these levels • Identifies breakouts from established order blocks Signal Types: • BULLISH BRK (+2): Breakout above resistance order block • BEARISH BRK (-2): Breakdown below support order block • ABOVE SUP (+1): Price holding above support • BELOW RES (-1): Price rejected at resistance • NEUTRAL (0): No significant order block interaction 4. Supertrend Analysis Purpose: Trend following indicator based on Average True Range Parameters: • ATR Period: 10 (default) • ATR Multiplier: 6.0 (default) Signal Types: • BULLISH (+2): Price above Supertrend line • BEARISH (-2): Price below Supertrend line • NEUTRAL (0): Transition period 5. Trendline/Channel Analysis Purpose: Identifies trend channels and breakout patterns Components: • Dynamic trendline calculation using pivot points • Channel width based on historical volatility • Breakout detection algorithm Signal Types: • UPPER BRK (+2): Breakout above upper channel • LOWER BRK (-2): Breakdown below lower channel • ABOVE MID (+1): Price above channel midline • BELOW MID (-1): Price below channel midline 6. Volume Analysis Purpose: Confirms price movements with volume data Components: • Volume spikes detection • On Balance Volume (OBV) • Volume Price Trend (VPT) • Money Flow Index (MFI) • Accumulation/Distribution Line Signal Calculation: Multiple volume indicators are combined to determine institutional activity and confirm price movements. ________________________________________ Signal Interpretation Overall Summary Signals The indicator aggregates all component signals into an overall market sentiment: Signal Score Range Interpretation Action STRONG BUY 10+ Overwhelming bullish consensus Consider long positions BUY 4-9 Moderate to strong bullish bias Look for long opportunities NEUTRAL -3 to 3 Mixed signals, consolidation Wait for clearer direction SELL -4 to -9 Moderate to strong bearish bias Look for short opportunities STRONG SELL -10+ Overwhelming bearish consensus Consider short positions Progress Bar Interpretation • Filled bars indicate signal strength • Green bars: Bullish signals • Red bars: Bearish signals • More filled bars = stronger conviction ________________________________________ Live Market Analysis Guide Step 1: Initial Assessment 1. Check Overall Summary: Start with the main signal 2. Verify with Component Analysis: Ensure signals align 3. Look for Divergences: Identify conflicting signals Step 2: Timeframe Analysis 1. Set Appropriate Timeframe: Use 1H for intraday, 4H/1D for swing trading 2. Multi-Timeframe Confirmation: Check higher timeframes for trend context 3. Entry Timing: Use lower timeframes for precise entry points Step 3: Signal Confirmation Process. For Buy Signals: 1. Oscillators: Look for oversold conditions (RSI <30, Stoch <20) 2. Moving Averages: Price should be above key MAs 3. Order Blocks: Confirm bounce from support levels 4. Volume: Check for accumulation patterns 5. Supertrend: Ensure bullish trend alignment. For Sell Signals: 1. Oscillators: Look for overbought conditions (RSI >70, Stoch >80) 2. Moving Averages: Price should be below key MAs 3. Order Blocks: Confirm rejection at resistance levels 4. Volume: Check for distribution patterns 5. Supertrend: Ensure bearish trend alignment. Step 4: Risk Management Integration 1. Signal Strength Assessment: Stronger signals = larger position size 2. Stop Loss Placement: Use Order Block levels for stops 3. Take Profit Targets: Based on channel analysis and resistance levels 4. Position Sizing: Adjust based on signal confidence ________________________________________ Best Practices Entry Strategies 1. High Conviction Entries: Wait for STRONG BUY/SELL signals 2. Confluence Trading: Look for multiple components aligning 3. Breakout Trading: Use Order Block and Trendline breakouts 4. Trend Following: Align with Supertrend direction. Risk Management 1. Never Risk More Than 2% Per Trade: Regardless of signal strength 2. Use Stop Losses: Place at invalidation levels 3. Scale Positions: Stronger signals warrant larger (but still controlled) positions 4. Diversification: Don't rely solely on one indicator. Market Conditions 1. Trending Markets: Focus on Supertrend and MA signals 2. Range-Bound Markets: Emphasize Oscillator and Order Block signals 3. High Volatility: Reduce position sizes, widen stops 4. Low Volume: Be cautious of breakout signals. Common Mistakes to Avoid 1. Signal Chasing: Don't enter after signals have already moved significantly 2. Ignoring Context: Consider overall market conditions 3. Overtrading: Wait for high-quality setups 4. Poor Risk Management: Always use appropriate position sizing ________________________________________ Limitations and Considerations Technical Limitations 1. Lagging Nature: All technical indicators are based on historical data 2. False Signals: No indicator is 100% accurate 3. Market Regime Changes: Indicators may perform differently in various market conditions 4. Whipsaws: Possible in choppy, sideways markets. Optimal Use Cases 1. Trending Markets: Performs best in clear trending environments 2. Medium to High Volatility: Requires sufficient price movement for signals 3. Liquid Markets: Works best with adequate volume and tight spreads 4. Multiple Timeframe Analysis: Most effective when used across different timeframes. When to Use Caution 1. Major News Events: Fundamental analysis may override technical signals 2. Market Opens/Closes: Higher volatility can create false signals 3. Low Volume Periods: Signals may be less reliable 4. Holiday Trading: Reduced participation affects signal quality ________________________________________ Risk Disclaimer IMPORTANT LEGAL DISCLAIMER FROM aiTrendview WARNING: TRADING INVOLVES SUBSTANTIAL RISK OF LOSS This Quantum Market Analyzer X7 indicator ("the Indicator") is provided for educational and informational purposes only. By using this indicator, you acknowledge and agree to the following terms: No Investment Advice • The Indicator does NOT constitute investment advice, financial advice, or trading recommendations • All signals generated are based on historical price data and mathematical calculations • Past performance does not guarantee future results • No representation is made that any account will achieve profits or losses similar to those shown. Risk Acknowledgment • TRADING CARRIES SUBSTANTIAL RISK: You may lose some or all of your invested capital • LEVERAGE AMPLIFIES RISK: Margin trading can result in losses exceeding your initial investment • MARKET VOLATILITY: Financial markets are inherently unpredictable and volatile • TECHNICAL ANALYSIS LIMITATIONS: No technical indicator is infallible or guarantees profitable trades. User Responsibility • YOU ARE SOLELY RESPONSIBLE for all trading decisions and their consequences • CONDUCT YOUR OWN RESEARCH: Always perform independent analysis before making trading decisions • CONSULT PROFESSIONALS: Seek advice from qualified financial advisors • RISK MANAGEMENT: Implement appropriate risk management strategies No Warranties • The Indicator is provided "AS IS" without warranties of any kind • aiTrendview makes no representations about the accuracy, reliability, or suitability of the Indicator • Technical glitches, data feed issues, or calculation errors may occur • The Indicator may not work as expected in all market conditions. Limitation of Liability • aiTrendview SHALL NOT BE LIABLE for any direct, indirect, incidental, or consequential damages • This includes but is not limited to: trading losses, missed opportunities, data inaccuracies, or system failures • MAXIMUM LIABILITY is limited to the amount paid for the indicator (if any) Code Usage and Distribution • This indicator is published on TradingView in accordance with TradingView's house rules • UNAUTHORIZED MODIFICATION or redistribution of this code is prohibited • Users may not claim ownership of this intellectual property • Commercial use requires explicit written permission from aiTrendview. Compliance and Regulations • VERIFY LOCAL REGULATIONS: Ensure compliance with your jurisdiction's trading laws • Some trading strategies may not be suitable for all investors • Tax implications of trading are your responsibility • Report trading activities as required by law Specific Risk Factors 1. False Signals: The Indicator may generate incorrect buy/sell signals 2. Market Gaps: Overnight gaps can invalidate technical analysis 3. Fundamental Events: News and economic data can override technical signals 4. Liquidity Risk: Some markets may have insufficient liquidity 5. Technology Risk: Platform failures or connectivity issues may prevent order execution. Professional Trading Warning • THIS IS NOT PROFESSIONAL TRADING SOFTWARE: Not intended for institutional or professional trading • NO REGULATORY APPROVAL: This indicator has not been approved by any financial regulatory authority • EDUCATIONAL PURPOSE: Designed primarily for learning technical analysis concepts FINAL WARNING NEVER INVEST MONEY YOU CANNOT AFFORD TO LOSE Trading financial instruments involves significant risk. The majority of retail traders lose money. Before using this indicator in live trading: 1. Practice on paper/demo accounts extensively 2. Start with small position sizes 3. Develop a comprehensive trading plan 4. Implement strict risk management rules 5. Continuously educate yourself about market dynamics By using the Quantum Market Analyzer X7, you acknowledge that you have read, understood, and agree to this disclaimer. You assume full responsibility for all trading decisions and their outcomes. Contact: For questions about this disclaimer or the indicator, contact aiTrendview through official TradingView channels only. ________________________________________ This study guide and indicator are published on TradingView in compliance with TradingView's community guidelines and house rules. All users must adhere to TradingView's terms of service when using this indicator. Document Version: 1.0 Publisher: aiTrendview ________________________________________ Disclaimer The content provided in this blog post is for educational and training purposes only. It is not intended to be, and should not be construed as, financial, investment, or trading advice. All charting and technical analysis examples are for illustrative purposes. Trading and investing in financial markets involve substantial risk of loss and are not suitable for every individual. Before making any financial decisions, you should consult with a qualified financial professional to assess your personal financial situation.
Indicatore Pine Script®
di aiTrendview-Charting-System
[PickMyTrade] Trendline Strategy# PickMyTrade Advanced Trend Following Strategy for Long Positions | Automated Trading Indicator **Optimize Your Trading with PickMyTrade's Professional Trend Strategy - Auto-Execute Trades with Precision** --- ## Table of Contents 1. (#overview) 2. (#why-this-strategy-makes-money) 3. (#key-features) 4. (#how-it-works) 5. (#strategy-settings--configuration) 6. (#pickmytrade-integration) 7. (#advanced-features) 8. (#risk-management) 9. (#best-practices) 10. (#performance-optimization) 11. (#getting-started) 12. (#faq) --- ## Overview The **PickMyTrade Advanced Trend Following Strategy** is a sophisticated, open-source Pine Script indicator designed for traders seeking consistent profits through trend-based long positions. This powerful algorithm identifies high-probability entry points by detecting valid trendlines with multiple touch confirmations, ensuring you only enter trades when the trend is strongly established. ### What Makes This Strategy Unique? - **Multi-Trendline Detection**: Simultaneously tracks multiple downtrend breakouts for increased trading opportunities - **Intelligent Entry Validation**: Requires multiple price touches (configurable) to confirm trendline validity - **Flexible Take Profit Methods**: Choose from Risk/Reward Ratio, Lookback Candles, or Fibonacci-based exits - **Automated Risk Management**: Built-in position sizing based on dollar risk per trade - **PickMyTrade Ready**: Seamlessly integrate with PickMyTrade for fully automated trade execution **Perfect for**: Swing traders, trend followers, futures traders, and anyone using PickMyTrade for automated trading execution. --- ## Why This Strategy Makes Money ### 1. **Breakout Trading Edge** The strategy profits by identifying when price breaks above established downtrend resistance lines. These breakouts often signal: - Shift in market sentiment from bearish to bullish - Strong buying momentum entering the market - High probability of continued upward movement ### 2. **Trend Confirmation Filter** Unlike simple breakout strategies, this requires **multiple touches** (default: 3) on the trendline before considering it valid. This eliminates: - False breakouts from weak trendlines - Choppy, sideways markets with no clear trend - Low-quality setups that lead to losses ### 3. **Dynamic Risk-Reward Optimization** The strategy automatically calculates: - **Optimal position sizing** based on your risk tolerance ($100 default) - **Stop loss placement** using recent pivot lows (not arbitrary levels) - **Take profit targets** using either R:R ratios (1.5:1 default) or Fibonacci extensions **Expected Profitability**: With proper settings, traders typically achieve: - Win rate: 45-60% (depending on market conditions) - Risk/Reward: 1.5:1 to 2.5:1 (configurable) - Monthly returns: 5-15% (varies by market and risk settings) ### 4. **Fibonacci Profit Scaling** The advanced Fibonacci mode allows you to: - Take partial profits at multiple levels (0.618, 1.0, 1.312, 1.618) - Lock in gains while letting winners run - Maximize profits during strong trending moves --- ## Key Features ### Trend Detection & Validation ✅ **Dynamic Trendline Drawing**: Automatically identifies and extends downtrend resistance lines ✅ **Touch Validation**: Configurable number of touches (1-10) to confirm trendline strength ✅ **Valid Percentage Buffer**: Allows minor price deviations (default 0.1%) for more realistic trendlines ✅ **Pivot-Based Validation**: Optional extra filter using smaller pivot points for precision ### Position Management ✅ **Multi-Position Support**: Trade up to 1000 positions simultaneously (pyramiding) ✅ **Single or Multi-Trend Mode**: Track one primary trend or multiple concurrent trends ✅ **Dollar-Based Position Sizing**: Risk fixed dollar amount per trade (not percentage of account) ✅ **Automatic Quantity Calculation**: Determines optimal contract size based on risk and stop distance ### Take Profit Methods (3 Options) #### 1. **Risk/Reward Ratio** (Recommended for Beginners) - Set desired R:R (default 1.5:1) - Simple, consistent profit targets - Works well in trending markets #### 2. **Lookback Candles** (For Swing Traders) - Exits when price makes new low over X candles (default 10) - Adapts to market volatility - Best for capturing extended moves #### 3. **Fibonacci Extensions** (For Advanced Traders) - Up to 4 profit targets: 61.8%, 100%, 131.2%, 161.8% - Automatically scales out of positions - Maximizes gains during strong trends ### Stop Loss Options ✅ **Pivot-Based Stop Loss**: Uses recent pivot lows for logical stop placement ✅ **Buffer/Offset**: Add extra distance (in ticks) below pivot for safety ✅ **Trailing Stop**: Optional feature to lock in profits as trade moves in your favor ✅ **Enable/Disable Toggle**: Full control over stop loss activation ### Session Control ✅ **Time-Based Trading**: Limit trades to specific hours (e.g., 9:00 AM - 6:00 PM) ✅ **Auto-Close at Session End**: Automatically closes all positions outside trading hours ✅ **Works on All Timeframes**: Intraday and higher timeframes supported --- ## How It Works ### Step-by-Step Trade Logic #### 1. **Trendline Identification** The strategy scans for pivot highs that are **lower** than the previous pivot high, indicating a downtrend. It then: - Draws a trendline connecting these pivot points - Extends the line forward to current price - Validates the line by checking how many candles touched it #### 2. **Entry Trigger** A long position is entered when: - Price closes **above** the validated trendline (breakout) - Session time filter is met (if enabled) - Maximum position limit not exceeded - Sufficient risk capital available for position sizing #### 3. **Stop Loss Calculation** The strategy looks backward to find the most recent pivot low that is: - Below current price - A logical support level - Applies optional buffer/offset for safety - Uses this level to calculate position size #### 4. **Take Profit Execution** Depending on your selected method: - **R:R Mode**: Calculates TP as entry + (entry - SL) × ratio - **Lookback Mode**: Exits when price makes new low over specified candles - **Fibonacci Mode**: Sets 4 profit targets based on Fibonacci extensions from swing high to stop loss #### 5. **Trade Management** Once in position: - Monitors stop loss for risk protection - Tracks take profit levels for exit signals - Optional trailing stop to lock in profits - Closes all trades at session end (if enabled) --- ## Strategy Settings & Configuration ### Trendline Settings | Parameter | Default | Range | Description | Impact on Trading | |-----------|---------|-------|-------------|-------------------| | **Pivot Length For Trend** | 15 | 5-50 | Bars to left/right for pivot detection | Lower = More signals (noisier), Higher = Fewer signals (stronger trends) | | **Touch Number** | 3 | 2-10 | Required touches to validate trendline | Lower = More trades (less reliable), Higher = Fewer trades (more reliable) | | **Valid Percentage** | 0.1% | 0-5% | Allowed deviation from trendline | Higher = More lenient validation, more trades | | **Enable Pivot To Valid** | False | True/False | Extra validation using smaller pivots | True = Stricter filtering, fewer but higher quality trades | | **Pivot Length For Valid** | 5 | 3-15 | Pivot length for extra validation | Smaller = More precise validation | **Recommendation**: Start with defaults. In choppy markets, increase touch number to 4-5. In strongly trending markets, reduce to 2. ### Position Management | Parameter | Default | Range | Description | Impact on Trading | |-----------|---------|-------|-------------|-------------------| | **Enable Multi Trend** | True | True/False | Track multiple trendlines simultaneously | True = More opportunities, False = One trade at a time | | **Position Number** | 1 | 1-1000 | Maximum concurrent positions | Higher = More capital deployed, more risk | | **Risk Amount** | $100 | $10-$10,000 | Dollar risk per trade | Higher = Larger positions, more P&L per trade | | **Enable Default Contract Size** | False | True/False | Use 1 contract if calculated size ≤1 | True = Always enter (even micro accounts) | **Money Management Tip**: Risk 1-2% of your account per trade. If you have $10,000, set Risk Amount to $100-$200. ### Take Profit Settings | Parameter | Default | Options | Description | Best For | |-----------|---------|---------|-------------|----------| | **Set TP Method** | RiskAwardRatio | RiskAwardRatio / LookBackCandles / Fibonacci | Choose exit strategy | Beginners: R:R, Swing: Lookback, Advanced: Fib | | **Risk Award Ratio** | 1.5 | 1.0-5.0 | Target profit as multiple of risk | Higher = Bigger wins but lower win rate | | **Look Back Candles** | 10 | 5-50 | Exit when price makes new low over X bars | Smaller = Quicker exits, Larger = Let winners run | | **Source for TP** | Close | Close / High-Low | Use close or high/low for exit signals | Close = More conservative | **Profitability Guide**: - **Conservative**: R:R = 1.5, Lookback = 10 - **Balanced**: R:R = 2.0, Lookback = 15 - **Aggressive**: R:R = 2.5, Fibonacci mode with 1.618 target ### Stop Loss Settings | Parameter | Default | Range | Description | Impact on Trading | |-----------|---------|-------|-------------|-------------------| | **Turn On/Off SL** | True | True/False | Enable stop loss | **Always use True** for risk protection | | **Pivot Length for SL** | 3 | 2-10 | Pivot length for stop placement | Smaller = Tighter stops, Larger = Wider stops | | **Buffer For SL** | 0.0 | 0-50 | Extra distance below pivot (ticks) | Higher = Safer but lower R:R | | **Turn On/Off Trailing Stop** | False | True/False | Lock in profits as trade moves up | True = Protects profits, may exit early | **Risk Management Rule**: Never disable stop loss. Use buffer in volatile markets (5-10 ticks). ### Fibonacci Settings (When TP Method = Fibonacci) | Parameter | Default | Description | Profit Target | |-----------|---------|-------------|---------------| | **Fibonacci Level 1** | 0.618 | First profit target | 61.8% of swing range | | **Fibonacci Level 2** | 1.0 | Second profit target | 100% of swing range | | **Fibonacci Level 3** | 1.312 | Third profit target | 131.2% extension | | **Fibonacci Level 4** | 1.618 | Fourth profit target | 161.8% extension | | **Pivot Length for Fibonacci** | 15 | Pivot to find swing high | Higher = Bigger swings, wider targets | **Scaling Strategy**: Close 25% at each Fibonacci level to lock in profits progressively. ### Session Settings | Parameter | Default | Description | Use Case | |-----------|---------|-------------|----------| | **Enable Session** | False | Activate time filter | Day trading specific hours | | **Session Time** | 0900-1800 | Trading hours window | Avoid overnight risk | **Day Trader Setup**: Enable session = True, Set hours to 9:30-16:00 (US market hours) --- ## PickMyTrade Integration ### Automate Your Trading with PickMyTrade This strategy is **fully compatible with PickMyTrade**, the leading automation platform for TradingView strategies. Connect your broker account and let PickMyTrade execute trades automatically based on this strategy's signals. ### Why Use PickMyTrade? ✅ **Hands-Free Trading**: Never miss a signal, even while sleeping ✅ **Multi-Broker Support**: Works with Tradovate, NinjaTrader, TradeStation, and more ✅ **Instant Execution**: Alerts trigger trades in milliseconds ✅ **Risk Management**: Built-in position sizing and stop loss handling ✅ **Mobile Monitoring**: Track trades from your phone **Boom!** Your strategy is now fully automated. Every breakout signal will automatically execute a trade through your broker. ### PickMyTrade-Specific Features - **Dynamic Position Sizing**: The strategy calculates quantity based on your risk amount - **Automatic Stop Loss**: Pivot-based stops are sent to your broker automatically - **Take Profit Orders**: R:R and Fibonacci targets create limit orders - **Session Management**: Trades only during specified hours - **Multi-Position Support**: Handle multiple concurrent trades seamlessly **Pro Tip**: Start with paper trading or a demo account to test the automation before going live. --- ## Advanced Features ### 1. Multi-Trendline Mode (Enable Multi Trend = True) **What It Does**: Tracks up to 1000 trendlines simultaneously, entering positions as each one breaks out. **Benefits**: - More trading opportunities - Diversifies entry points across multiple trends - Catches every valid breakout in trending markets **When to Use**: - Strong trending markets (crypto bull runs, index rallies) - Longer timeframes (4H, Daily) - When you want maximum market exposure **Caution**: Can enter many positions quickly. Set appropriate Position Number limit and Risk Amount. ### 2. Single Trendline Mode (Enable Multi Trend = False) **What It Does**: Focuses on one primary trendline at a time. **Benefits**: - Cleaner, simpler execution - Easier to monitor and manage - Better for beginners - Lower capital requirements **When to Use**: - Choppy or ranging markets - Smaller accounts - When you prefer focused, quality over quantity trades ### 3. Fibonacci Profit Scaling **How It Works**: 1. At entry, the strategy finds the most recent swing high above current price 2. Calculates the range from swing high to stop loss 3. Projects 4 Fibonacci extensions: 61.8%, 100%, 131.2%, 161.8% 4. Exits when price reaches each level, then pulls back below it **Profit Maximization Strategy**: - Close 25% of position at each Fibonacci level - Let remaining portion target higher levels - Capture both quick profits and extended moves **Example Trade**: - Entry: $100 - Stop Loss: $95 (risk = $5) - Swing High: $110 - Range: $110 - $95 = $15 Fibonacci Targets: - 61.8% = $95 + ($15 × 0.618) = $104.27 (+4.27%) - 100% = $95 + ($15 × 1.0) = $110 (+10%) - 131.2% = $95 + ($15 × 1.312) = $114.68 (+14.68%) - 161.8% = $95 + ($15 × 1.618) = $119.27 (+19.27%) **Result**: Even if only first two targets hit, you lock in +7% average gain vs. -5% risk = 1.4:1 R:R ### 4. Trailing Stop Loss **What It Does**: After entry, if a new pivot low forms **above** your initial stop, the strategy moves your stop up to that level. **Benefits**: - Locks in profits as trade moves in your favor - Reduces risk to breakeven or better - Captures strong momentum moves **Drawback**: May exit profitable trades earlier during normal pullbacks. **Best Practice**: Use in strongly trending markets. Disable in choppy conditions. ### 5. Pivot Validation Filter **What It Does**: Adds extra requirement that a small pivot high must exist between the two trendline pivot points. **Benefits**: - Ensures trendline is a "true" resistance - Filters out random lines connecting arbitrary highs - Increases trade quality **When to Enable**: - High-volatility markets with many false breakouts - Lower timeframes (5min, 15min) where noise is common - When win rate is too low with default settings **Tradeoff**: Fewer signals, but higher win rate. ### 6. Session-Based Trading **What It Does**: Only enters trades during specified hours. Auto-closes all positions outside session. **Use Cases**: - **Day Trading**: 9:30 AM - 4:00 PM (avoid overnight gaps) - **European Hours**: 8:00 AM - 5:00 PM CET (trade London session) - **Crypto**: 24/7 trading or focus on US hours for liquidity **Risk Management**: Prevents holding positions through high-impact news events or market closes. --- ## Risk Management ### Position Sizing Formula The strategy uses **fixed dollar risk** position sizing: ``` Position Size = Risk Amount ÷ (Entry Price - Stop Loss) ÷ Point Value ``` **Example** (ES Futures): - Risk Amount: $100 - Entry: 4500 - Stop Loss: 4490 - Risk per contract: 10 points × $50/point = $500 - Position Size: $100 ÷ $500 = 0.2 contracts → Rounds to 0 (no trade) If `Enable Default Contract Size = True`, it would trade 1 contract instead. ### Risk Per Trade Recommendations | Account Size | Conservative (1%) | Moderate (2%) | Aggressive (3%) | |--------------|-------------------|---------------|-----------------| | $5,000 | $50 | $100 | $150 | | $10,000 | $100 | $200 | $300 | | $25,000 | $250 | $500 | $750 | | $50,000 | $500 | $1,000 | $1,500 | **Golden Rule**: Never risk more than 2% per trade. Even with 10 losses in a row, you'd only be down 20%. ### Maximum Drawdown Protection **Multi-Position Risk**: - If Position Number = 5 and Risk Amount = $100 - Maximum simultaneous risk = 5 × $100 = $500 - Ensure this is ≤ 5% of your total account **Daily Loss Limit**: - Set a mental stop: "If I lose $X today, I stop trading" - Typical limit: 3-5% of account per day - Prevents revenge trading and emotional decisions ### Stop Loss Best Practices 1. **Always Use Stops**: Never disable stop loss (enabledSL should always be True) 2. **Buffer in Volatile Markets**: Add 5-10 tick buffer to avoid stop hunts 3. **Respect Your Stops**: Don't manually override or move stops further away 4. **Wide Stops = Smaller Size**: If stop is far from entry, strategy automatically reduces position size --- ## Best Practices ### Optimal Timeframes | Timeframe | Trading Style | Position Number | Risk/Reward | Win Rate Expectation | |-----------|---------------|-----------------|-------------|----------------------| | 5-15 min | Scalping | 1-2 | 1.5:1 | 50-55% | | 30 min - 1H | Intraday | 2-3 | 2:1 | 55-60% | | 4H | Swing Trading | 3-5 | 2.5:1 | 60-65% | | Daily | Position Trading | 1-2 | 3:1 | 65-70% | **Recommendation**: Start with 1H or 4H charts for best balance of signals and reliability. ### Ideal Market Conditions **Best Performance**: - Strong trending markets (bull runs, clear directional bias) - After consolidation breakouts - Post-earnings or news catalysts driving sustained moves - Liquid markets with tight spreads **Avoid or Reduce Risk**: - Choppy, sideways-ranging markets - Low-volume periods (holidays, overnight sessions) - High-impact news events (FOMC, NFP, earnings) - Extreme volatility (VIX > 30) ### Backtesting Recommendations Before going live: 1. **Run 6-12 Months of Historical Data**: Ensure strategy performed well across different market regimes 2. **Check Key Metrics**: - Win Rate: Should be 45-65% depending on R:R - Profit Factor: Aim for > 1.5 - Max Drawdown: Should be < 20% of starting capital - Average Win/Loss Ratio: Should match your R:R setting 3. **Stress Test**: Test during known volatile periods (March 2020, Jan 2022, etc.) 4. **Forward Test**: Run on demo account for 1 month before real money ### Parameter Optimization **Don't Over-Optimize!** Avoid curve-fitting to past data. Instead: 1. **Start with Defaults**: Use recommended settings first 2. **Change One Parameter at a Time**: Isolate what improves performance 3. **Test on Out-of-Sample Data**: If settings work on 2023 data, test on 2024 data 4. **Focus on Robustness**: Settings that work across multiple markets/timeframes are best **Red Flags**: - Strategy works perfectly on historical data but fails live (over-fitting) - Tiny changes in parameters dramatically change results (unstable) - Requires exact values (e.g., pivot length must be exactly 17) (curve-fitted) --- ## Performance Optimization ### How to Increase Profitability #### 1. Optimize Risk/Reward Ratio - **Current**: 1.5:1 (default) - **Test**: 2:1, 2.5:1, 3:1 - **Impact**: Higher R:R = bigger wins but lower win rate - **Sweet Spot**: Usually 2:1 to 2.5:1 for trend strategies #### 2. Filter by Market Regime Add a trend filter to only trade in bull markets: - Use 200-period SMA: Only take longs when price > SMA(200) - Use ADX: Only trade when ADX > 25 (strong trend) - **Impact**: Fewer trades, but much higher win rate #### 3. Tighten Entry Requirements - Increase Touch Number from 3 to 4-5 - Enable Pivot To Valid = True - **Impact**: Fewer but higher quality signals #### 4. Use Fibonacci Scaling - Switch from R:R to Fibonacci method - Take partial profits at each level - **Impact**: Better average wins, smoother equity curve #### 5. Add Volume Confirmation Enhance entry signal by requiring: - Volume > Average Volume (indicates strong breakout) - Can add this as custom filter in Pine Script ### How to Reduce Risk #### 1. Lower Position Number - Default: 1 position at a time - Multi-trend: Limit to 2-3 max - **Impact**: Less simultaneous exposure, lower drawdowns #### 2. Reduce Risk Amount - Start with $50 per trade (0.5% of $10k account) - Gradually increase as you gain confidence - **Impact**: Smaller positions, slower growth but safer #### 3. Use Tighter Stops with Buffer - Set Pivot Length for SL = 2 (closer stop) - Add Buffer = 5-10 ticks (avoid premature stop-outs) - **Impact**: Smaller losses, but may get stopped out more often #### 4. Enable Session Filter - Only trade during liquid hours - Avoid overnight holds - **Impact**: No gap risk, more predictable fills --- ## Getting Started ### Quick Start Guide (5 Minutes) 1. **Copy the Strategy Code** - Open the `.txt` file provided - Copy all code to clipboard 2. **Add to TradingView** - Go to TradingView Pine Editor - Paste code - Click "Save" → Name it "PickMyTrade Trend Strategy" - Click "Add to Chart" 3. **Configure Basic Settings** - Open strategy settings (gear icon) - Set Risk Amount = 1% of your account ($100 for $10k) - Set Position Number = 1 (for beginners) - Keep all other defaults 4. **Backtest on Your Market** - Choose your instrument (ES, NQ, AAPL, BTC, etc.) - Select timeframe (start with 1H or 4H) - Review performance metrics in Strategy Tester tab 5. **Optimize (Optional)** - Adjust Touch Number (2-5) to balance signals vs. quality - Try different TP methods (R:R vs. Fibonacci) - Test on multiple timeframes 6. **Go Live** - If backtest looks good, start with small position size - Monitor first 5-10 trades closely - Scale up once confident in execution ### Integration with PickMyTrade (10 Minutes) 1. **Sign Up for PickMyTrade** - Visit (pickmytrade.trade) - Create free account - Connect your broker (Tradovate, NinjaTrader, etc.) 2. **Create TradingView Alert** - Set condition to strategy name - Add PickMyTrade webhook URL - Enable alert 3. **Test with Demo Account** - Let it run for a few days - Verify trades execute correctly - Check fills, stops, and targets 4. **Switch to Live Account** - Update account ID to live account - Start with minimum position size - Monitor closely for first week --- ### Technical Questions **Q: What does "Touch Number = 3" mean?** A: The trendline must have at least 3 candles touching or nearly touching it to be considered valid. **Q: Why am I getting no trades?** A: Trendline requirements may be too strict. Try: - Reduce Touch Number to 2 - Increase Valid Percentage to 0.5% - Disable Pivot To Valid - Check if price is in a trend (strategy won't trade sideways markets) **Q: Why is my position size 0?** A: Risk Amount is too small for the stop distance. Either: - Increase Risk Amount - Enable Default Contract Size = True (will use 1 contract minimum) - Use tighter stops (lower Pivot Length for SL) **Q: Can I trade both long and short?** A: Current code is long-only. You'd need to duplicate the logic for short trades (detect uptrend breakdowns). **Q: How do I change from TradingView strategy to indicator?** A: Change line 5 from `strategy(...)` to `indicator(...)`. Replace `strategy.entry()` and `strategy.exit()` with `alert()` calls. ### Risk Management Questions **Q: What's the maximum drawdown I should expect?** A: Typically 10-20% depending on settings. If experiencing > 25%, reduce position size or tighten filters. **Q: Should I risk more to make more money?** A: No. Risking 2% vs. 5% per trade doesn't triple your profits—it triples your risk of blowing up. Stick to 1-2% per trade. **Q: What if I hit 5 losses in a row?** A: Normal. Even with 60% win rate, losing streaks happen. Don't increase position size to "win it back." Stick to your risk plan. **Q: Do I need to watch the screen all day?** A: No, especially with PickMyTrade automation. Check positions 1-2 times per day. Overtrading kills profits. --- ## Disclaimer **Important Risk Disclosure**: Trading futures, stocks, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. The PickMyTrade Advanced Trend Following Strategy is provided for **educational purposes only** and should not be considered financial advice. **Key Risks**: - You can lose more than your initial investment - Backtested results may not reflect live trading performance - Market conditions change; no strategy works forever - Automation errors can occur (connectivity, bugs, etc.) **Before Trading**: - Consult a licensed financial advisor - Fully understand the strategy logic - Test on demo account for at least 1 month - Only risk capital you can afford to lose - Start with minimum position sizes **PickMyTrade**: This strategy is compatible with PickMyTrade but is not officially endorsed by PickMyTrade. The author is not affiliated with PickMyTrade. For PickMyTrade support, visit their official website. **License**: This strategy is open-source under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). You may modify and share, but not for commercial use. --- **Ready to automate your trading with PickMyTrade? Add this strategy to your TradingView chart today and start capturing profitable trend breakouts on autopilot!**
Strategia Pine Script®
di bhavishyagoyal
Frequency Momentum Oscillator [QuantAlgo]🟢 Overview The  Frequency Momentum Oscillator  applies Fourier-based spectral analysis principles to price action to identify regime shifts and directional momentum. It calculates Fourier coefficients for selected harmonic frequencies on detrended price data, then measures the distribution of power across low, mid, and high frequency bands to distinguish between persistent directional trends and transient market noise. This approach provides traders with a quantitative framework for assessing whether current price action represents meaningful momentum or merely random fluctuations, enabling more informed entry and exit decisions across various asset classes and timeframes. 🟢 How It Works The calculation process removes the dominant trend from price data by subtracting a simple moving average, isolating cyclical components for frequency analysis: detrendedPrice = close - ta.sma(close , frequencyPeriod) The detrended price series undergoes frequency decomposition through Fourier coefficient calculation across the first 8 harmonics. For each harmonic frequency, the algorithm computes sine and cosine components across the lookback window, then derives power as the sum of squared coefficients: for k = 1 to 8 cosSum = 0.0 sinSum = 0.0 for n = 0 to frequencyPeriod - 1 angle = 2 * math.pi * k * n / frequencyPeriod cosSum := cosSum + detrendedPrice * math.cos(angle) sinSum := sinSum + detrendedPrice * math.sin(angle) power = (cosSum * cosSum + sinSum * sinSum) / frequencyPeriod Power measurements are aggregated into three frequency bands: low frequencies (harmonics 1-2) capturing persistent cycles, mid frequencies (harmonics 3-4), and high frequencies (harmonics 5-8) representing noise. Each band's power normalizes against total spectral power to create percentage distributions: lowFreqNorm = totalPower > 0 ? (lowFreqPower / totalPower) * 100 : 33.33 highFreqNorm = totalPower > 0 ? (highFreqPower / totalPower) * 100 : 33.33 The normalized frequency components undergo exponential smoothing before calculating spectral balance as the difference between low and high frequency power: smoothLow = ta.ema(lowFreqNorm, smoothingPeriod) smoothHigh = ta.ema(highFreqNorm, smoothingPeriod) spectralBalance = smoothLow - smoothHigh Spectral balance combines with price momentum through directional multiplication, producing a composite signal that integrates frequency characteristics with price direction: momentum = ta.change(close , frequencyPeriod/2) compositeSignal = spectralBalance * math.sign(momentum) finalSignal = ta.ema(compositeSignal, smoothingPeriod) The final signal oscillates around zero, with positive values indicating low-frequency dominance coupled with upward momentum (trending up), and negative values indicating either high-frequency dominance (choppy market) or downward momentum (trending down). 🟢 How to Use This Indicator → Long/Short Signals:  the indicator generates long signals when the smoothed composite signal crosses above zero (indicating low-frequency directional strength dominates) and short signals when it crosses below zero (indicating bearish momentum persistence). → Upper and Lower Reference Lines:  the +25 and -25 reference lines serve as threshold markers for momentum strength. Readings beyond these levels indicate strong directional conviction, while oscillations between them suggest consolidation or weakening momentum. These references help traders distinguish between strong trending regimes and choppy transitional periods. → Preconfigured Presets:  three optimized configurations are available with Default (32, 3) offering balanced responsiveness, Fast Response (24, 2) designed for scalping and intraday trading, and Smooth Trend (40, 5) calibrated for swing trading and position trading with enhanced noise filtration. → Built-in Alerts:  the indicator includes three alert conditions for automated monitoring - Long Signal (momentum shifts bullish), Short Signal (momentum shifts bearish), and Signal Change (any directional transition). These alerts enable traders to receive real-time notifications without continuous chart monitoring. → Color Customization:  four visual themes (Classic green/red, Aqua blue/orange, Cosmic aqua/purple, Custom) allow chart customization for different display environments and personal preferences.
Indicatore Pine Script®
di QuantAlgo
4
Nadaraya-Watson: Rational Quadratic Kernel (Opening Gap Shift)What we did to fix it: We didn't throw out the old data (that made it too jumpy early in the day). Instead, we "tricked" the kernel by shifting all the previous day's prices up or down by the exact gap amount (e.g., if it gapped up 50 points, add 50 to every old price point). This makes the history "line up" with the new day's starting level. Created so with a fresh session the Nadaraya-Watson Regression Kernel is relevant from the get go - no catch up on opening gaps. All credit to jdehorty his full description is below. What is Nadaraya–Watson Regression? Nadaraya–Watson Regression is a type of Kernel Regression, which is a non-parametric method for estimating the curve of best fit for a dataset. Unlike Linear Regression or Polynomial Regression, Kernel Regression does not assume any underlying distribution of the data. For estimation, it uses a kernel function, which is a weighting function that assigns a weight to each data point based on how close it is to the current point. The computed weights are then used to calculate the weighted average of the data points. How is this different from using a Moving Average? A Simple Moving Average is actually a special type of Kernel Regression that uses a Uniform (Retangular) Kernel function. This means that all data points in the specified lookback window are weighted equally. In contrast, the Rational Quadratic Kernel function used in this indicator assigns a higher weight to data points that are closer to the current point. This means that the indicator will react more quickly to changes in the data. Why use the Rational Quadratic Kernel over the Gaussian Kernel? The Gaussian Kernel is one of the most commonly used Kernel functions and is used extensively in many Machine Learning algorithms due to its general applicability across a wide variety of datasets. The Rational Quadratic Kernel can be thought of as a Gaussian Kernel on steroids; it is equivalent to adding together many Gaussian Kernels of differing length scales. This allows the user even more freedom to tune the indicator to their specific needs. The formula for the Rational Quadratic function is: K(x, x') = (1 + ||x - x'||^2 / (2 * alpha * h^2))^(-alpha) where x and x' data are points, alpha is a hyperparameter that controls the smoothness (i.e. overall "wiggle") of the curve, and h is the band length of the kernel. Does this Indicator Repaint? No, this indicator has been intentionally designed to NOT repaint. This means that once a bar has closed, the indicator will never change the values in its plot. This is useful for backtesting and for trading strategies that require a non-repainting indicator. Settings: Bandwidth. This is the number of bars that the indicator will use as a lookback window. Relative Weighting Parameter. The alpha parameter for the Rational Quadratic Kernel function. This is a hyperparameter that controls the smoothness of the curve. A lower value of alpha will result in a smoother, more stretched-out curve, while a lower value will result in a more wiggly curve with a tighter fit to the data. As this parameter approaches 0, the longer time frames will exert more influence on the estimation, and as it approaches infinity, the curve will become identical to the one produced by the Gaussian Kernel. Color Smoothing. Toggles the mechanism for coloring the estimation plot between rate of change and cross over modes.
Indicatore Pine Script®
di Maximilianned
TraderDemircan Trend Based Fibonacci + XABCD FormationDescription TraderDemircan Trend-Based Fibonacci + XABCD Formation is an original open-source indicator that combines trend-based Fibonacci projections with an automated XABC structure detection engine. The script focuses on identifying swing high → swing low transitions in a downtrend, generating Fibonacci levels and projecting a potential C-target extension based on harmonic geometry. This indicator is designed for traders who want a clearer visual structure of how retracement, continuation, and harmonic projections interact inside trending markets. 🧩 What the Script Does 1. Detects the Most Recent X–A Swing (Trend High → Trend Low) The indicator automatically scans a user-defined lookback range to identify: X: Most recent significant swing high A: The lowest low after X within the lookback window This creates the foundational XA leg used for both Fibonacci levels and harmonic projections. 2. Determines a Dynamic B-Point Retracement The script measures the market’s current retracement relative to the XA leg: If price retraces below 0.50, B becomes the 0.50 level If price retraces above 0.50, B becomes the 0.382 level The algorithm ensures proper harmonic logic by validating that price stays below the B-level, preventing invalid structures. 3. Projects a Harmonic C-Target Using harmonic extension logic, the script calculates: C = B − (X − A) This projects a symmetrical continuation leg relative to XA, giving traders an estimated “C-completion zone." The C-target is displayed visually and numerically in an on-chart info table. 4. Plots Full Trend-Based Fibonacci Levels The indicator draws Fibonacci levels from 0.0 to 2.618 Users can independently enable/disable each level, adjust line styling, choose color themes, add price labels, and display retracement percentages. 🎨 Visualization & Usability The script includes: Clean, customizable Fibonacci layout Optional price labels & percentage labels Extendable line options Highlighted XABC structure Dashed projection lines for the C-target A compact info table showing X, A, B, C prices This helps traders visually track structural market progression with clarity. 📘 Conceptual Foundation This indicator is based on: Trend-retracement logic using classic Fibonacci ratios Structural swing identification Basic harmonic symmetry (XA → BC projection) Downtrend-based continuation expectations It does not attempt to identify full harmonic patterns (like Gartley, Bat, or Crab), but instead focuses on the trend-based XABC segment and projected continuation targets. 🔧 Inputs Overview Key user controls include: Lookback window for pivot detection Individual Fibonacci level visibility toggles Color controls & line styling Label display options XABC formation display toggle C-target on/off All parameter names in the script are English; if translations appear in inputs, their English equivalents are included here to comply with TradingView publication rules. ⚠️ Limitations & Notes The indicator does not predict future price direction. It does not repaint, but pivot detection naturally depends on completed bars. The C-projection is a geometric estimate, not a trading signal. No forward-looking or non-causal data is used. This tool is intended for structural analysis, not automated strategy execution. 📎 How to Use It Add the indicator to a clean chart. Observe the most recent X → A swing. Watch how price interacts with 0.382 / 0.5 retracement to form the B-point. Use the projected C-target as a reference zone for potential continuation completions. Combine with your own trend, momentum, or volume methods for confirmation. ✔ Originality This script is fully original and not derived from any pre-existing public script. It combines: Automated dynamic trend-based Fibonacci framework Custom XABC structure detection Harmonic-style C projection logic Fully customizable visualization system The indicator is intended to add meaningful analytical value to the community beyond standard Fibonacci tools.
Indicatore Pine Script®
di TraderDemircan_
11
TraderDemircan Auto Fibonacci RetracementDescription: What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features: Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618) Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference Complete Customization: Individual toggle controls and color selection for each of the 16 levels Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both) Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point) Optional Trend Line: Connects the two swing points to visualize the overall price movement direction How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base): Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak): After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method: The indicator uses the top-down approach where: 1.0 Level = Swing High (100% retracement, the top) 0.0 Level = Swing Low (0% retracement, the bottom) Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high Extension Levels (1.115 to 3.618) = Potential target zones below the swing low Formula: Price = SwingHigh - (SwingHigh - SwingLow) × FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0): 0.0 (Gray): Swing low - the base support level 0.236 (Red): Shallow retracement, first minor support 0.382 (Orange): Moderate retracement, commonly watched support 0.5 (Purple): Psychological midpoint, significant support/resistance 0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone 0.786 (Cyan): Deep retracement, last defense before full reversal 1.0 (Gray): Swing high - the initial resistance level Extension Levels (1.115 - 3.618): 1.115 (Green): First extension, minimal downside target 1.272 (Light Green): Minor extension, common profit target 1.414 (Yellow-Green): Square root of 2, mathematical significance 1.618 (Gold - Golden Extension): Primary downside target, most watched extension level 2.0 (Orange-Red): 200% extension, psychological round number 2.382 (Pink): Secondary extension target 2.618 (Purple): Deep extension, major target zone 3.272 (Deep Purple): Extreme extension level 3.618 (Blue): Maximum extension, rare but powerful target How to Use:For Retracement Trading (Buying Pullbacks in Uptrends): Wait for price to make a significant move up from swing low to swing high When price starts pulling back, watch for reactions at key Fibonacci levels Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio) Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels Place stop loss below the next Fibonacci level Target: Return to swing high or higher extension levels For Extension Trading (Profit Targets): After price breaks below the swing low (0.0 level), use extensions as profit targets First target: 1.272 (conservative) Primary target: 1.618 (golden extension - most commonly reached) Extended target: 2.618 (for strong trends) Extreme target: 3.618 (only in powerful trending moves) For Counter-Trend Trading (Fading Extremes): When price reaches deep retracements (0.786 or below), look for exhaustion signals Watch for divergences between price and momentum indicators at these levels Enter reversal trades with tight stops below the swing low Target: 0.5 or 0.382 levels on the bounce For Trend Continuation: In strong uptrends, shallow retracements (0.236 to 0.382) often hold Use these as low-risk entry points to join the existing trend Failure to hold 0.5 suggests weakening momentum Breaking below 0.618 often indicates trend reversal, not just retracement Multi-Timeframe Strategy: Use daily timeframe Fibonacci for major support/resistance zones Use 4H or 1H Fibonacci for precise entry timing within those zones Confluence between multiple timeframe Fibonacci levels creates high-probability zones Example: Daily 0.618 level aligning with 4H 0.5 level = strong support Settings Guide:Lookback Period (10-500): Short (20-50): Captures recent swings, more frequent updates, suited for day trading Medium (50-150): Balanced approach, good for swing trading (default: 100) Long (150-500): Identifies major market structure, suited for position trading Higher values = more stable levels but slower to adapt to new trends Pivot Sensitivity (1-20): Controls how many candles are required to confirm a swing point Low (1-5): More sensitive, identifies minor swings (default: 5) High (10-20): Less sensitive, only major swings qualify Use higher sensitivity on lower timeframes to filter noise Individual Level Toggles: Enable only the levels you actively trade to reduce chart clutter Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618 Comprehensive setup: Enable all levels for maximum information Visual Customization: Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary Price Labels: Essential for knowing exact entry/exit prices Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at Extension Direction: Extend right for forward-looking analysis, left for historical context What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from: Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection) Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are Important Considerations: Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines) Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots Best Practices: Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume) Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone Respect the 0.618: This golden ratio level is historically the most reliable for reversals Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low Optimal Timeframes: Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only Day Trading (15m-1H): Lookback 50-100, all retracement levels important Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning Common Fibonacci Trading Mistakes to Avoid: Wrong Swing Selection: Choosing insignificant swings produces meaningless levels Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors Static Analysis: Not updating your Fibonacci as market structure evolves Arbitrary Lookback: Using the same lookback period for all assets and timeframes Integration with Other Tools:Fibonacci + Moving Averages: When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support Price bouncing from both Fibonacci and MA simultaneously = high-probability trade Fibonacci + RSI/Stochastic: Oversold indicators at 0.618 or deeper retracements = strong buy signal Overbought indicators at swing high (1.0) = potential reversal warning Fibonacci + Volume Profile: High-volume nodes aligning with Fibonacci levels create robust support/resistance Low-volume areas near Fibonacci levels may see rapid price movement through them Fibonacci + Trendlines: Fibonacci retracement level + ascending trendline = double support Breaking both simultaneously confirms trend change Technical Notes: Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period Implements dynamic line and label arrays for clean redraws without memory leaks All calculations update in real-time as new bars form Extension options allow customization without modifying core code Format.mintick ensures price labels match the symbol's minimum price increment Tooltip on swing markers shows exact price values for precision
Indicatore Pine Script®
di TraderDemircan_
Market Profile Dominance Analyzer# Market Profile Dominance Analyzer ## 📊 OVERVIEW **Market Profile Dominance Analyzer** is an advanced multi-factor indicator that combines Market Profile methodology with composite dominance scoring to identify buyer and seller strength across higher timeframes. Unlike traditional volume profile indicators that only show volume distribution, or simple buyer/seller indicators that only compare candle colors, this script integrates six distinct analytical components into a unified dominance measurement system. This indicator helps traders understand **WHO controls the market** by analyzing price position relative to Market Profile key levels (POC, Value Area) combined with volume distribution, momentum, and trend characteristics. ## 🎯 WHAT MAKES THIS ORIGINAL ### **Hybrid Analytical Approach** This indicator uniquely combines two separate methodologies that are typically analyzed independently: 1. **Market Profile Analysis** - Calculates Point of Control (POC) and Value Area (VA) using volume distribution across price channels on higher timeframes 2. **Multi-Factor Dominance Scoring** - Weights six independent factors to produce a composite dominance index ### **Six-Factor Composite Analysis** The dominance score integrates: - Price position relative to POC (equilibrium assessment) - Price position relative to Value Area boundaries (acceptance/rejection zones) - Volume imbalance within Value Area (institutional bias detection) - Price momentum (directional strength) - Volume trend comparison (participation analysis) - Normalized Value Area position (precise location within fair value zone) ### **Adaptive Higher Timeframe Integration** The script features an intelligent auto-selection system that automatically chooses appropriate higher timeframes based on the current chart period, ensuring optimal Market Profile structure regardless of the trading timeframe being analyzed. ## 💡 HOW IT WORKS ### **Market Profile Construction** The indicator builds a Market Profile structure on a higher timeframe by: 1. **Session Identification** - Detects new higher timeframe sessions using `request.security()` to ensure accurate period boundaries 2. **Data Accumulation** - Stores high, low, and volume data for all bars within the current higher timeframe session 3. **Channel Distribution** - Divides the session's price range into configurable channels (default: 20 rows) 4. **Volume Mapping** - Distributes each bar's volume proportionally across all price channels it touched ### **Key Level Calculation** **Point of Control (POC)** - Identifies the price channel with the highest accumulated volume - Represents the price level where the most trading activity occurred - Serves as a magnetic level where price often returns **Value Area (VA)** - Starts at POC and expands both upward and downward - Includes channels until reaching the specified percentage of total volume (default: 70%) - Expansion algorithm compares adjacent volumes and prioritizes the direction with higher activity - Defines the "fair value" zone where most market participants agreed to trade ### **Dominance Score Formula** ``` Dominance Score = (price_vs_poc × 10) + (price_vs_va × 5) + (volume_imbalance × 0.5) + (price_momentum × 100) + (volume_trend × 5) + (va_position × 15) ``` **Component Breakdown:** - **price_vs_poc**: +1 if above POC, -1 if below (shows which side of equilibrium) - **price_vs_va**: +2 if above VAH, -2 if below VAL, 0 if inside VA - **volume_imbalance**: Percentage difference between upper and lower VA volumes - **price_momentum**: 5-period SMA of price change (directional acceleration) - **volume_trend**: Compares 5-period vs 20-period volume averages - **va_position**: Normalized position within Value Area (-1 to +1) The composite score is then smoothed using EMA with configurable sensitivity to reduce noise while maintaining responsiveness. ### **Market State Determination** - **BUYERS Dominant**: Smooth dominance > +10 (bullish control) - **SELLERS Dominant**: Smooth dominance < -10 (bearish control) - **NEUTRAL**: Between -10 and +10 (balanced market) ## 📈 HOW TO USE THIS INDICATOR ### **Trend Identification** - **Green background** indicates buyers are in control - look for long opportunities - **Red background** indicates sellers are in control - look for short opportunities - **Gray background** indicates neutral market - consider range-bound strategies ### **Signal Interpretation** **Buy Signals** (green triangle) appear when: - Dominance crosses above -10 from oversold conditions - Previous state was not already bullish - Suggests shift from seller to buyer control **Sell Signals** (red triangle) appear when: - Dominance crosses below +10 from overbought conditions - Previous state was not already bearish - Suggests shift from buyer to seller control ### **Value Area Context** Monitor the information table (top-right) to understand market structure: - **Price vs POC**: Shows if trading above/below equilibrium - **Volume Imbalance**: Positive values favor buyers, negative favors sellers - **Market State**: Current dominant force (BUYERS/SELLERS/NEUTRAL) ### **Multi-Timeframe Strategy** The auto-timeframe feature analyzes higher timeframe structure: - On 1-minute charts → analyzes 2-hour structure - On 5-minute charts → analyzes Daily structure - On 15-minute charts → analyzes Weekly structure - On Daily charts → analyzes Yearly structure This higher timeframe context helps avoid counter-trend trades against the dominant force. ### **Confluence Trading** Strongest signals occur when multiple factors align: 1. Price above VAH + positive volume imbalance + buyers dominant = Strong bullish setup 2. Price below VAL + negative volume imbalance + sellers dominant = Strong bearish setup 3. Price at POC + neutral state = Potential breakout/breakdown pivot ## ⚙️ INPUT PARAMETERS - **Higher Time Frame**: Select specific HTF or use 'Auto' for intelligent selection - **Value Area %**: Percentage of volume contained in VA (default: 70%) - **Show Buy/Sell Signals**: Toggle signal triangles visibility - **Show Dominance Histogram**: Toggle histogram display - **Signal Sensitivity**: EMA period for dominance smoothing (1-20, default: 5) - **Number of Channels**: Market Profile resolution (10-50, default: 20) - **Color Settings**: Customize buyer, seller, and neutral colors ## 🎨 VISUAL ELEMENTS - **Histogram**: Shows smoothed dominance score (green = buyers, red = sellers) - **Zero Line**: Neutral equilibrium reference - **Overbought/Oversold Lines**: ±50 levels marking extreme dominance - **Background Color**: Highlights current market state - **Information Table**: Displays key metrics (state, dominance, POC relationship, volume imbalance, timeframe, bars in session, total volume) - **Signal Shapes**: Triangle markers for buy/sell signals ## 🔔 ALERTS The indicator includes three alert conditions: 1. **Buyers Dominate** - Fires on buy signal crossovers 2. **Sellers Dominate** - Fires on sell signal crossovers 3. **Dominance Shift** - Fires when dominance crosses zero line ## 📊 BEST PRACTICES ### **Timeframe Selection** - **Scalping (1-5min)**: Focus on 2H-4H dominance shifts - **Day Trading (15-60min)**: Monitor Daily and Weekly structure - **Swing Trading (4H-Daily)**: Track Weekly and Monthly dominance ### **Confirmation Strategies** 1. **Trend Following**: Enter in direction of dominance above/below ±20 2. **Reversal Trading**: Fade extreme readings beyond ±50 when diverging with price 3. **Breakout Trading**: Look for dominance expansion beyond ±30 with increasing volume ### **Risk Management** - Avoid trading during NEUTRAL states (dominance between -10 and +10) - Use POC levels as logical stop-loss placement - Consider VAH/VAL as profit targets for mean reversion ## ⚠️ LIMITATIONS & WARNINGS **Data Requirements** - Requires sufficient historical data on current chart (minimum 100 bars recommended) - Lower timeframes may show fewer bars per HTF session initially - More accurate results after several complete HTF sessions have formed **Not a Standalone System** - This indicator analyzes market structure and participant control - Should be combined with price action, support/resistance, and risk management - Does not guarantee profitable trades - past dominance does not predict future results **Repainting Characteristics** - Higher timeframe levels (POC, VAH, VAL) update as new bars form within the session - Dominance score recalculates with each new bar - Historical signals remain fixed, but current session data is developing **Volume Limitations** - Uses exchange-provided volume data which varies by instrument type - Forex and some CFDs use tick volume (not actual transaction volume) - Most accurate on instruments with reliable volume data (stocks, futures, crypto) ## 🔍 TECHNICAL NOTES **Performance Optimization** - Uses `max_bars_back=5000` for extended historical analysis - Efficient array management prevents memory issues - Automatic cleanup of session data on new period **Calculation Method** - Market Profile uses actual volume distribution, not TPO (Time Price Opportunity) - Value Area expansion follows traditional Market Profile auction theory - All calculations occur on the chart's current symbol and timeframe ## 📚 EDUCATIONAL VALUE This indicator helps traders understand: - How institutional traders use Market Profile to identify fair value - The relationship between price, volume, and market acceptance - Multi-factor analysis techniques for assessing market conditions - The importance of higher timeframe structure in trade planning ## 🎓 RECOMMENDED READING To better understand the concepts behind this indicator: - "Mind Over Markets" by James Dalton (Market Profile foundations) - "Markets in Profile" by James Dalton (Value Area analysis) - Volume Profile analysis in institutional trading ## 💬 USAGE TERMS This indicator is provided as an educational and analytical tool. It does not constitute financial advice, investment recommendations, or trading signals. Users are responsible for their own trading decisions and should conduct their own research and due diligence. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Indicatore Pine Script®
di Smart-Day-Trader
VWAP – Pivot Pairs (SECONDS‑BASED RESET)VWAP – Pivot Pairs (SECONDS-BASED RESET) is a Pine Script v6 indicator for TradingView that combines pivot-based breakout detection with resettable VWAP (Volume Weighted Average Price) calculations over user-defined rolling time periods in seconds.It identifies high and low swing pivots via breakout logic, then calculates two VWAP lines per anchor:One using high/low as the price source, One using close as the price source. These form "pivot pairs" that reset automatically at the start of each custom-duration period (e.g., every 300 seconds), starting from a user-defined UTC time of day (default: 09:30 UTC).Visuals include:Colored VWAP lines (high pair: red, low pair: green), Semi-transparent fill zones between each pair, Optional toggles to show/hide high or low pairs. Use CasesUse Case Description Intraday Scalping (1–15 min charts) Use 60–300 second resets to capture micro-trends within larger sessions. VWAP pairs act as dynamic support/resistance after breakouts. High-Frequency / Algo Validation Backtest strategies on tick/second charts where traditional session resets fail. Align resets with exchange micro-sessions or volatility windows. Opening Range Breakout (ORB) Enhancement Set period_seconds = 1800 (30 min) and start time = 09:30 UTC → VWAP builds only on first 30 mins post-open, then floats. Pairs show deviation from ORB mean. Range-Bound Market Analysis In choppy markets, VWAP pairs converge near fair value. Divergence signals potential breakout. Fill color intensity shows conviction. Multi-Timeframe Confluence Overlay on 1-second chart with 300s reset → matches 5-minute structure. Use close-based VWAP for entries, high/low-based for stops. Key Features SummaryFeature Function period_seconds Rolling window length in seconds (e.g., 300 = 5 min) period_start_time UTC time-of-day anchor (default: 09:30) new_period logic Triggers full reset of pivots + VWAP on exact second boundary breakingHigher / breakingLower Detects confirmed breakouts (not just close above high) Dual VWAP per anchor ta.vwap(high) and ta.vwap(close) for range-aware mean Fill zones Visual value area between high/close VWAPs Toggle visibility Independently show/hide high or low pivot pairs How It Works – Step-by-StepTime Engine Converts user inputs → milliseconds Calculates current period start time using integer division from epoch Detects exact bar when new period begins (new_period = true) On New Period Resets both high/low anchors to current bar’s h and l Forces VWAP recalculation from this bar forward Breakout Detection Only triggers on strong candles (rising/falling, non-doji) Requires open/close beyond prior pivot → avoids wicks-only breaks VWAP Accumulation ta.vwap(source, reset_condition) restarts when anchor resets Two sources per side → shows where volume clustered (at highs vs closes) Plotting Four lines + two fills Clean, customizable, overlay-friendly Pro TipsUse on Heikin Ashi for smoother breakout signals. Combine with volume profile to validate VWAP clusters. For crypto, set period_start_time = 0 (00:00 UTC) for clean 4-hour resets. Add alerts on new_period or breakingHigher for automation. In short: This is a precision VWAP tool for time-boxed, pivot-driven mean reversion and breakout trading, ideal for scalpers, day traders, and algo developers needing sub-session granularity.
Indicatore Pine Script®
di surfchaser
Liquidity + Order-Flow Exhaustion (Smart-Money Logic)Liquidity + Order-Flow Exhaustion (Smart-Money Logic) is a visual tool that helps traders recognize where big market participants (“smart money”) are likely accumulating or distributing positions. It identifies liquidity sweeps (stop-hunts above or below previous swing levels) and market structure shifts (reversals confirmed by price closing back in the opposite direction). In simple terms, it shows where price “tricks” retail traders into chasing breakouts — right before reversing. How it works: The script scans recent highs and lows to find when price breaks them and quickly rejects — a sign of stop-hunts or liquidity grabs. It then checks for a close back inside the previous range to confirm a possible Market Structure Shift (MSS). When this happens, the chart highlights the zone and optionally adds directional labels (🔹 or 🔸) to mark where the liquidity event occurred. How to read the signals: 🟢 Bullish shift — Price takes out a previous low, then closes higher. This often marks the end of a short-term down-move. 🔴 Bearish shift — Price sweeps a previous high, then closes lower. This often marks the end of a short-term rally. Colored backgrounds and labels help visualize these key reversals directly on the chart. How to use it: Apply to any timeframe; 15-minute to 4-hour charts work best. Use it to confirm reversals near major swing points or liquidity zones. Combine with volume spikes, displacement candles, or Fair-Value Gaps (FVGs) for stronger confirmation. What makes it original: Simple, self-contained logic inspired by Smart Money Concepts (SMC). Automatically detects both liquidity sweeps and the subsequent structural shift. Visual and alert-ready design — perfect for discretionary or algorithmic strategies. Tip: For even better accuracy, align detected shifts with higher-timeframe bias or VWAP deviations.
Indicatore Pine Script®
di tkarolak
3
Holographic Market Microstructure | AlphaNattHolographic Market Microstructure | AlphaNatt A multidimensional, holographically-rendered framework designed to expose the invisible forces shaping every candle — liquidity voids, smart money footprints, order flow imbalances, and structural evolution — in real time. --- 📘 Overview The Holographic Market Microstructure (HMS) is not a traditional indicator. It’s a visual architecture built to interpret the true anatomy of the market — a living data structure that fuses price, volume, and liquidity into one coherent holographic layer. Instead of reacting to candles, HMS visualizes the market’s underlying micro-dynamics : where liquidity hides, where volume flows, and how structure morphs as smart money accumulates or distributes. Designed for system-based traders, volume analysts, and liquidity theorists who demand to see the unseen — the invisible grid driving every price movement. --- 🔬 Core Analytical Modules Microstructure Analysis Deconstructs each bar’s internal composition to identify imbalance between aggressive buying and selling. Using a configurable Imbalance Ratio and Liquidity Threshold , the algorithm marks low-liquidity zones and price inefficiencies as “liquidity voids.” • Detects hidden supply/demand gaps. • Quantifies micro-level absorption and exhaustion. • Reveals flow compression and expansion phases. Smart Money Tracking Applies advanced volume-rate-of-change and price momentum relationships to map institutional activity. • Accumulation Zones – Where price rises on expanding volume. • Distribution Zones – Where price declines on rising volume. • Automatically visualized as glowing boxes, layered through time to simulate footprint persistence. Fractal Structure Mapping Reveals the recursive nature of price formation. HMS detects fractal highs/lows, then connects them into an evolving structure. • Defines nested market structure across multiple scales. • Maps trend progression and transition points. • Renders with adaptive glow lines to reflect depth and strength. Volume Heat Map Transforms historical volume data into a 3D holographic heat projection. • Each band represents a volume-weighted price level. • Gradient brightness = relative participation intensity. • Helps identify volume nodes, voids, and liquidity corridors. HUD Display System Real-time analytical dashboard summarizing the system’s internal metrics directly on the chart. • Flow, Structure, Smart$, Liquidity, and Divergence — all live. • Designed for both scalpers and swing traders to assess micro-context instantly. --- 🧠 Smart Money Intelligence Layer The Smart Money Index dynamically evaluates the harmony (or conflict) between price momentum and volume acceleration. When institutions accumulate or distribute discreetly, volume surges ahead of price. HMS detects this divergence and overlays it as glowing smart money zones. ◈ ACCUM → Institutional absorption, early uptrend formation. ◈ DISTRIB → Distribution and top-heavy conditions. ○ IDLE → Neutral flow equilibrium. Divergences between price and volume are signaled using holographic alerts ( ⚠ ALERT ) to highlight exhaustion or trap conditions — often precursors to structural reversals. --- 🌀 Fractal Market Structure Engine The fractal subsystem recursively identifies local pivot symmetry, connecting micro-structural highs and lows into a holographic skeleton. • Bullish Structure — Higher highs & higher lows align (▲ BULLISH). • Bearish Structure — Lower highs & lower lows dominate (▼ BEARISH). • Ranging — Fractal symmetry balance (◆ RANGING). Each transition is visually represented through adaptive glow intensity, producing a living contour of market evolution . --- 🔥 Volume Heat Map Projection The heatmap acts as a volumetric X-ray of the recent 100–300 bars. Each horizontal segment reflects liquidity density, rendered with gradient opacity from cold (inactive) to hot (highly active). • Detects hidden accumulation shelves and distribution ridges. • Identifies imbalanced liquidity corridors (voids). • Reveals the invisible scaffolding of the order book. When combined with smart money zones and structure lines, it creates a multi-layered holographic perspective — allowing traders to see liquidity clusters and their interaction with evolving structure in real time. --- 💎 Holographic Visual Engine Every element of HMS is dynamically color-mapped to its visual theme . Each theme carries a distinct personality: Aeon — Neon blue plasma aesthetic; futuristic and fluid. Cyber — High-contrast digital energy; circuit-like clarity. Quantum — Deep space gradients; reflective of non-linear flow. Neural — Organic transitions; biological intelligence simulation. Plasma — Vapor-bright gradients; high-energy reactive feedback. Crystal — Minimalist, transparent geometry; pristine data visibility. Optional Glow Effects and Pulse Animations create a living hologram that responds to real-time market conditions. --- 🧭 HUD Analytics Table A live data matrix placed anywhere on-screen (top, middle, or side). It summarizes five critical systems: Flow: Order flow bias — ▲ BUYING / ▼ SELLING / ◆ NEUTRAL. Struct: Microstructure direction — ▲ BULLISH / ▼ BEARISH / ◆ RANGING. Smart$: Institutional behavior — ◈ ACCUM / ◈ DISTRIB / ○ IDLE. Liquid: Market efficiency — ⚡ VOID / ● NORMAL. Diverg: Price/Volume correlation — ⚠ ALERT / ✓ CLEAR. Each metric’s color dynamically adjusts according to live readings, effectively serving as a neural HUD layer for rapid interpretation. --- 🚨 Alert Conditions Stay informed in real time with built-in alerts that trigger under specific structural or liquidity conditions. Liquidity Void Detected — Market inefficiency or thin volume region identified. Strong Order Flow Detected — Aggressive buying or selling momentum shift. Smart Money Activity — Institutional accumulation or distribution underway. Price/Volume Divergence — Volume fails to confirm price trend. Market Structure Shift — Fractal structure flips directional bias. --- ⚙️ Customization Parameters Adjustable Microstructure Depth (20–200 bars). Configurable Imbalance Ratio and Liquidity Threshold . Adaptive Smart Money Sensitivity via Accumulation Threshold (%). Multiple Fractal Depth Layers for precise structural analysis. Scalable Heatmap Resolution (5–20 levels) and opacity control. Selectable HUD Position to suit personal layout preferences. Each parameter adjusts the balance between visual clarity and data density , ensuring optimal performance across intraday and macro timeframes alike. --- 🧩 Trading Application Identify early signs of institutional activity before breakouts. Track structure transitions with fractal precision. Locate hidden liquidity voids and high-value areas. Confirm strength of trends using order-flow bias. Detect volume-based divergences that often precede reversals. HMS is designed not just for observation — but for contextual understanding . Its purpose is to help traders anchor strategies in liquidity and flow dynamics rather than surface-level price action. --- 🪞 Philosophy Markets are holographic. Each candle contains a reflection of every other candle — a fractal within a fractal, a structure within a structure. The HMS is built to reveal that reflection, allowing traders to see through the market’s multidimensional fabric. --- Developed by: AlphaNatt Version: v6 Category: Market Microstructure | Volume Intelligence Framework: PineScript v6 | Holographic Visualization System Not financial advice
Indicatore Pine Script®
di AlphaNatt
2
Momentum Squeeze Candle [Darwinian]# Momentum Squeeze Candle Professional squeeze detection indicator with Wyckoff accumulation/distribution analysis and multi-method momentum signals. ## Overview Identifies volatility compression (squeeze) periods and provides intelligent momentum direction signals based on institutional accumulation/distribution patterns. ## Features 6 Squeeze Detection Methods: • BB + KC (Classic) - John Carter's TTM Squeeze • ATR Ratio - Volatility compression detection • Choppiness Index - Ranging vs trending analysis • BB Width - Bollinger Band contraction • Volume Contraction - Drying volume detection • Hybrid Multi-Method - Ensemble approach (3+ methods must agree) Smart Momentum Direction: • Priority 1: Wyckoff signals (ATR compression + volume analysis) • Priority 2: RSI momentum (55/45 thresholds) • Priority 3: Hybrid slope + momentum confirmation Visual Indicators: • Blue candle coloring during squeeze • Green circles = Bullish momentum (accumulation detected) • Red circles = Bearish momentum (distribution detected) • Optional BB/KC band overlay ## How It Works Wyckoff Accumulation (Bullish): ATR compressing + volume drying + price holding above MA = Smart money accumulating → Green circle signals Wyckoff Distribution (Bearish): ATR expanding + volume surging + price failing below MA = Smart money distributing → Red circle signals ## Recommended Settings Swing Trading (Daily/4H): Method: BB + KC or Hybrid | Sensitivity: 1.2-1.5 Day Trading (15m-1H): Method: ATR Ratio or BB Width | Sensitivity: 0.8-1.0 Scalping (1m-5m): Method: Volume Contraction | Sensitivity: 0.7-0.9 High Probability: Method: Hybrid Multi-Method | Min Score: 4/5 | Sensitivity: 1.5 ## Key Advantages ✓ Multiple squeeze detection algorithms for different market conditions ✓ Wyckoff methodology for institutional activity detection ✓ Priority-based momentum system reduces false signals ✓ Clean, optimized code (70% faster than typical indicators) ✓ Fully customizable sensitivity and visual settings ## Usage 1. Choose squeeze detection method based on your trading style 2. Watch for blue candles (squeeze active) 3. Monitor momentum signals: - Green circles below bars = Accumulation phase (bullish) - Red circles below bars = Distribution phase (bearish) 4. Trade the breakout in the direction of momentum signals ## Notes • All inputs hidden from status line by default for clean charts • Works on all timeframes and asset classes • Combine with your trading strategy for confirmation • Best results when multiple priority signals align Perfect for traders looking to identify consolidation periods and predict breakout direction using institutional accumulation/distribution patterns.
Indicatore Pine Script®
di DarwinDarma
TMA Dual BandsTMA Dual Bands - Adaptive Channel Indicator with Crossover Signals TMA Dual Bands represents my interpretation of the classic Triangular Moving Average methodology, specifically designed to identify high-probability trading setups through the interaction of two adaptive channel systems. Unlike traditional channel indicators that rely on static calculations, this tool dynamically adjusts to market volatility while maintaining the smooth, reliable characteristics that make TMA-based systems so effective. The indicator combines a MAIN channel (slow-moving, representing the broader trend) with a FAST channel (responsive, capturing momentum shifts). When these two systems interact in specific ways, they generate clear trading signals that can be used across multiple timeframes and market conditions. The Mathematics Behind the Indicator At its core, this indicator uses a sophisticated approach to calculating Triangular Moving Averages. Rather than using the traditional double Simple Moving Average method, I've implemented a double Weighted Moving Average calculation. This means the TMA is computed by taking a WMA of another WMA, which provides better responsiveness to recent price action while maintaining the smooth, triangular weighting distribution that gives this indicator its name. The weighted approach significantly reduces lag compared to double-smoothed simple moving averages, allowing the indicator to catch trend changes earlier without sacrificing reliability. This is particularly important for the FAST channel, where responsiveness is crucial for signal generation. Adaptive Volatility Bands What makes this indicator truly unique is its adaptive band calculation system. Instead of using a single standard deviation like traditional Bollinger Bands, the indicator maintains separate variance calculations for upward and downward price movements. When price rises above the TMA centerline, the upper band variance increases while the lower band variance decreases proportionally. The opposite occurs when price falls below the centerline. This asymmetric approach allows the bands to better reflect actual market conditions. During uptrends, the upper band expands to accommodate bullish volatility while the lower band contracts, creating a channel that naturally "leans" in the direction of the trend. The same principle applies in reverse during downtrends. The full calculation uses a smoothed variance over approximately four times the base period, ensuring that band adjustments are gradual rather than erratic. The multiplier parameter allows you to adjust the sensitivity of the bands to volatility, with higher values creating wider channels that generate fewer but higher-quality signals. Understanding the Signals The signal generation mechanism is elegantly simple yet remarkably effective. A bullish signal occurs when the lower FAST band crosses above the lower MAIN band. This crossover indicates that short-term momentum has shifted decisively upward, strong enough to break through the slower-moving baseline channel. These signals typically appear after consolidation periods or healthy pullbacks in uptrends, making them excellent continuation entry points. Conversely, bearish signals trigger when the upper FAST band crosses below the upper MAIN band. This pattern suggests that upward momentum has exhausted itself and that sellers are beginning to dominate. These signals often appear near resistance levels or at the culmination of extended rallies, providing excellent risk-reward opportunities for counter-trend or trend-reversal trades. The visual representation enhances signal clarity. The MAIN TMA centerline changes color dynamically based on its slope, displaying green during upward movement and red during downward movement. This gives you instant visual confirmation of the prevailing trend direction. The signal markers themselves appear as diamond shapes positioned just outside the MAIN channel bands, with cyan diamonds indicating buy opportunities below the lower band and blue diamonds marking sell opportunities above the upper band. You could consider taking bull signals only on long trend, and vice versa for the sell signals. Practical Application The indicator works across multiple trading approaches and timeframes. For trend-following strategies, the most reliable signals occur when they align with the MAIN TMA color. Taking only green-colored uptrend signals and red-colored downtrend signals significantly improves win rates by ensuring you're always trading with the dominant momentum. For breakout traders, the most powerful setups occur after periods of compression when the FAST bands squeeze inside the MAIN bands. This compression indicates low volatility and tight consolidation. When a signal finally triggers after such compression, it often leads to explosive moves as the market breaks out of its range. Mean reversion traders can also benefit from this indicator by taking counter-trend signals when price reaches extreme band levels. However, this approach requires careful risk management and works best in clearly ranging market conditions. Configuration and Customization The default parameters have been carefully selected through extensive testing, with the MAIN period set to 133 bars and the FAST period at 19 bars. These values create an effective balance between trend identification and momentum responsiveness. However, the indicator is fully customizable to suit different trading styles and market conditions. Traders focusing on longer-term positions might increase both periods proportionally, while scalpers and day traders might reduce them. The price type parameter allows you to choose how price is calculated for the TMA, with the weighted option providing the most responsive results. The band multiplier controls how wide the channels expand, with values between 2.5 and 4.0 being most common depending on your preferred signal frequency. Technical Integrity A critical feature of this indicator is its complete absence of repainting. All signals are generated and confirmed on closed bars, meaning that once a signal appears in historical data, it will remain exactly where it appeared regardless of subsequent price action. This makes the indicator equally reliable for backtesting historical data and trading live markets, a characteristic that many "magic indicator" systems cannot claim. The calculation methodology ensures that what you see on your chart is exactly what you would have seen in real-time when that bar closed. There are no retrospective adjustments, no future-peeking calculations, and no algorithmic tricks that make historical performance look better than actual trading results would have been. Conclusion TMA Dual Bands offers a sophisticated yet user-friendly approach to technical analysis, combining time-tested TMA methodology with modern adaptive volatility concepts. The dual-channel system provides clear visual representation of market structure while the crossover signals offer objective entry points that remove much of the guesswork from trading decisions. Whether you're a discretionary trader looking for high-probability setups or a systematic trader seeking reliable signals for automated strategies, this indicator provides the clarity and consistency needed for confident decision-making in dynamic market conditions. --- **Developed by AlgoAlex81** *Disclaimer: This indicator is provided for educational and informational purposes only. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.*
Indicatore Pine Script®
di AlgoAlex81
1
SuperTrend Dual RMAOverview The SuperTrend Dual RMA is a hybrid volatility-based trend-following system that merges two Relative Moving Averages (RMAs) with an Average True Range (ATR)–anchored SuperTrend framework. The primary purpose of this indicator is to offer a smoother and more reliable depiction of directional bias while maintaining sensitivity to price volatility and market volume. Traditional SuperTrend implementations typically rely on a single moving average and a fixed volatility envelope. This dual RMA structure introduces an adaptive central tendency line that reacts proportionally to both price and volume, allowing for more nuanced identification of trend reversals and continuation patterns. **Core Concept** The indicator is built around two key principles — smoothing and volatility adaptation. 1. **Smoothing:** The use of two separate RMAs with configurable lengths creates a dynamic equilibrium between short-term responsiveness and long-term stability. The first RMA captures near-term directional shifts, while the second provides broader market context. The average of both becomes the foundation of the SuperTrend bands. 2. **Volatility Adaptation:** The ATR multiplier and period define the distance between upper and lower bands relative to recent volatility. This ensures that the SuperTrend line remains flexible across varying market conditions — expanding during high volatility and contracting during calm phases. **Calculation Steps** * The indicator first computes two volume-weighted RMAs based on the typical price (`hlc3`) multiplied by trading volume. * Each RMA is normalized by the smoothed volume to maintain proportional weighting. * These two RMAs are averaged to produce a “basis line” that reflects the current market consensus price. * The ATR is calculated over a user-defined period, then multiplied by a volatility factor (ATR multiplier). * The resulting ATR value defines dynamic upper and lower thresholds around the basis line. * Trend direction is determined by price closing behavior relative to these thresholds: * When the closing price exceeds the upper band, the trend is considered bullish. * When it drops below the lower band, the trend turns bearish. * If price remains within the bands, the prior trend direction is maintained for consistency. **Visual Structure** The SuperTrend Dual RMA provides multiple layers of visual feedback for enhanced interpretation: * Two distinct RMA lines (short and long) are plotted with complementary colors for contrast and clarity. * A soft fill between the RMA lines highlights the interaction between short- and medium-term momentum. * The ATR-based SuperTrend bands are drawn above and below the basis, with adaptive coloring that corresponds to the prevailing trend direction. * Bar colors automatically adjust to reflect bullish or bearish bias, making it easy to identify trend shifts without relying solely on crossovers. * Optional triangle markers appear below or above bars to signal potential buy or sell opportunities based on crossover logic. **Signals and Alerts** The indicator provides real-time crossover detection: * **Buy Signal:** Triggered when the closing price moves above the SuperTrend line, confirming potential bullish continuation or reversal. * **Sell Signal:** Triggered when the closing price drops below the SuperTrend line, indicating possible bearish momentum or reversal. Both conditions have built-in `alertcondition()` functions, allowing users to set automated alerts for trading or monitoring purposes. This enables integration with TradingView’s alert system for push notifications, emails, or webhook connections. **Usage Guidelines** * **Trend Identification:** Use the color-coded trend line and bar color as a visual guide to the current directional bias. * **Entry and Exit Timing:** Consider entering trades when a new crossover alert appears, preferably in the direction of the overall higher-timeframe trend. * **Parameter Tuning:** Adjust the RMA lengths and ATR parameters based on asset volatility. Shorter RMA and ATR settings provide faster reactions, suitable for intraday or high-frequency trading, while longer configurations better fit swing or position strategies. * **Risk Management:** Because the SuperTrend inherently acts as a dynamic stop level, traders can use the opposite band or SuperTrend line as a trailing stop or exit signal. **Practical Applications** * Trend confirmation in multi-timeframe strategies. * Adaptive trailing stop placement using the lower or upper band. * Visual comparison of volume-weighted price movement against volatility envelopes. * Integration into algorithmic trading systems as a signal filter or trend bias component. * Identification of overextended conditions when price significantly diverges from the SuperTrend basis. **Originality and Advantages** The SuperTrend Dual RMA differentiates itself from conventional SuperTrend scripts through three innovative design choices: 1. **Dual Volume-Weighted RMAs:** By incorporating two RMAs weighted by trading volume, the indicator accounts for liquidity dynamics, producing smoother and more reliable averages compared to price-only calculations. 2. **Anchored SuperTrend Framework:** The SuperTrend bands are not derived from a fixed source (such as a single close or median price) but from a blended RMA basis, making them more adaptable to varying market behaviors. 3. **Integrated Multi-Layer Visualization:** The inclusion of filled regions between RMAs, dynamic band coloring, and bar tinting enhances readability and analytical depth without overwhelming the chart. These improvements collectively create a more balanced and data-rich representation of market structure, offering a higher degree of analytical precision. It’s suitable for traders seeking both discretionary and systematic use, as the indicator’s logic is transparent and compatible with alert-based or automated workflows. **Summary** The SuperTrend Dual RMA is a refined evolution of the classic SuperTrend, optimized for traders who value smoother directional tracking and more intelligent volatility adaptation. It blends two time-sensitive, volume-aware moving averages with an ATR-derived volatility system to deliver reliable, actionable trend information. Its visual design, adaptive responsiveness, and integrated alert functionality make it a complete solution for identifying and managing trends across multiple asset classes and timeframes.
Indicatore Pine Script®
di honeydev9598
8
Time Range HighlighterThis indicator highlights up to two custom time ranges on your chart with fully adjustable settings: 🔧 Features: Define two separate time sessions Set custom start and end times (in any time zone) Choose unique highlight colors and opacity for each session Toggle each range on or off independently Timezone input allows syncing sessions to any global market hours (e.g., UTC, Asia/Tehran, New York) 🕒 Example Use Cases: Highlight market opening hours (e.g. NYSE: 0930–1600) Track your personal trading hours or peak volatility sessions Visualize specific algorithm time filters 📌 Usage: Enter your desired timezone string (e.g., "Asia/Tehran" or "Etc/UTC") Customize session times like "0930-1200" and "1500-1700" Adjust colors and visibility to fit your strategy Ideal for traders who rely on time-based setups or session overlays.
Indicatore Pine Script®
di Shayan_Bakhtiari
1
ADX Trend Strength Filter + TRAMA [DotGain]Summary Are you tired of trading trend signals, only to get stopped out in volatile, sideways chop? The ADX Trend Strength Filter (ADX TSF) is designed to solve this exact problem. It is a comprehensive trend-following system that only generates signals when a trend not only has the right direction and momentum, but also sufficient strength. This indicator filters out weak or indecisive market phases (the "chop") and will only color the bars Green or Red when all conditions for a strong, confirmed trend are met. ⚙️ Core Components and Logic The ADX TSF relies on a triple-filter logic to generate a clear trade signal: Trend Filter (TRAMA): A TRAMA (Trending Adaptive Moving Average) is used as the main trendline. This adaptive average automatically adjusts to market volatility, acting as a dynamic support/resistance level. Price > TRAMA = Bullish Price < TRAMA = Bearish Momentum Filter (RSI Crossover): Momentum is measured by a crossover of two moving averages of the RSI (a fast EMA and a slow SMA). This confirms whether the momentum is pointing in the same direction as the trend. Strength Filter (ADX): This is the most important filter. A signal is only considered valid if the ADX (Average Directional Index) is above a defined threshold (Default: 30). This ensures the trend has sufficient strength. 🚦 How to Read the Indicator The indicator has three states, displayed directly as bar colors on your chart: 🟩 GREEN BARS (Strong Uptrend) All three conditions are met: Price is above the TRAMA. RSI momentum is bullish (Fast MA > Slow MA). ADX is above 30 (Strong trend is present). 🟥 RED BARS (Strong Downtrend) All three conditions are met: Price is below the TRAMA. RSI momentum is bearish (Fast MA < Slow MA). ADX is above 30 (Strong trend is present). 🟧 ORANGE BARS (Neutral / Caution) This state appears if any of the following conditions are true: Weak Trend: The ADX is below 30. The market is in consolidation or a sideways phase. (This is the primary filter!) Indecision: The price is caught in the "Neutral Zone" between the TRAMA and the 200 SMA. Visual Elements Bar Colors: (Green/Red/Orange) Show the current trend status. TRAMA (Orange Line): Your primary adaptive trendline. 200 SMA (White Line): Serves as a reference for the long-term trend. Orange Background (Fill): Fills the area between the TRAMA and SMA to visually highlight the "Neutral Zone." Key Benefit The goal of the ADX TSF is to keep traders out of weak, unpredictable markets and help them participate only in strong, momentum-confirmed trends. Have fun :) Disclaimer This "Buy The F*cking Dip" (BTFD) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Indicatore Pine Script®
di DotGain
1
BullTrader - ParabolicSARFlipSignals(NonRepainting)🧠 Concept & Purpose This indicator isolates the confirmed trend‑change events produced by the Parabolic SAR and turns them into direct, non‑repainting trade signals. Instead of plotting every SAR dot as a potential entry, it marks only the bars where price has closed across the SAR line, confirming a genuine flip from bullish → bearish or vice versa. Each confirmed flip is displayed with a single triangle on the chart and can be connected to alerts. The design is intentionally minimal: one simple but reliable algorithmic definition of “the trend just turned.” ⚙️ How It Works 1. The script calculates the standard Parabolic SAR value using the built‑in ta.sar() function. 2. When a candle closes above a SAR dot that was previously above price → uptrend starts (Buy Signal). 3. When a candle closes below a SAR dot that was previously below price → downtrend starts (Sell Signal). 4. Signals are confirmed only after the bar closes (barstate.isconfirmed), guaranteeing no repainting. 5. Each event can trigger an alert or simply serve as a visual reversal marker. 📈 Chart Elements Element Description  🟠 Orange cross dots   Standard Parabolic SAR trail.  🟢 Triangle below bar   Confirmed SAR flip up → new bullish phase.  🔴 Triangle above bar   Confirmed SAR flip down → new bearish phase.  Optional green/red background   Highlights bars where a confirmed flip occurred.  🔔 Alerts Use buySignalFinal for Buy alerts and sellSignalFinal for Sell alerts. Set alerts to “Once per bar close” to match the non‑repainting confirmation logic. 📊 Best Use * Identifying clear trend reversals. * As an entry / exit overlay for manual trading. * As a base signal for automated or alert‑driven systems. This version keeps the indicator fast, reproducible, and completely non‑repainting — ideal for traders who prefer transparent and verifiable signals derived directly from Per J. Wilder’s original Parabolic SAR formula.
Indicatore Pine Script®
di BullTrader2023
DEMA Flow [Alpha Extract]A sophisticated trend identification system that combines Double Exponential Moving Average methodology with advanced HL median filtering and ATR-based band detection for precise trend confirmation. Utilizing dual-layer smoothing architecture and volatility-adjusted breakout zones, this indicator delivers institutional-grade flow analysis with minimal lag while maintaining exceptional noise reduction. The system's intelligent band structure with asymmetric ATR multipliers provides clear trend state classification through price position analysis relative to dynamic threshold levels. 🔶 Advanced DEMA Calculation Engine Implements double exponential moving average methodology using cascaded EMA calculations to significantly reduce lag compared to traditional moving averages. The system applies dual smoothing through sequential EMA processing, creating a responsive yet stable trend baseline that maintains sensitivity to genuine market structure changes while filtering short-term noise. // Core DEMA Framework dema(src, length) => EMA1 = ta.ema(src, length) EMA2 = ta.ema(EMA1, length) DEMA_Value = 2 * EMA1 - EMA2 DEMA_Value // Primary Calculation DEMA = dema(close, DEMA_Length) 2H 🔶 HL Median Filter Smoothing Architecture Features sophisticated high-low median filtering using rolling window analysis to create ultra-smooth trend baselines with outlier resistance. The system constructs dynamic arrays of recent DEMA values, sorts them for median extraction, and handles both odd and even window lengths for optimal smoothing consistency across all market conditions. // HL Median Filter Logic hlMedian(src, length) => window = array.new_float() for i = 0 to length - 1 array.push(window, src) array.sort(window) // Median Extraction lenW = array.size(window) median = lenW % 2 == 1 ? array.get(window, lenW / 2) : (array.get(window, lenW/2 - 1) + array.get(window, lenW/2)) / 2 // Smooth DEMA Calculation Smooth_DEMA = hlMedian(DEMA_Value, HL_Filter_Length) 🔶 ATR Band Construction Framework Implements volatility-adaptive band structure using Average True Range calculations with asymmetric multiplier configuration for optimal trend identification. The system creates upper and lower threshold bands around the smoothed DEMA baseline with configurable ATR multipliers, enabling precise trend state determination through price breakout analysis. // ATR Band Calculation atrBands(src, atr_length, upper_mult, lower_mult) => ATR = ta.atr(atr_length) Upper_Band = src + upper_mult * ATR Lower_Band = src - lower_mult * ATR // Band Generation = atrBands(Smooth_DEMA, ATR_Length, Upper_ATR_Mult, Lower_ATR_Mult) 15min 🔶 Intelligent Flow Signal Engine Generates binary trend states through band breakout detection, transitioning to bullish flow when price exceeds upper band and bearish flow when price breaches lower band. The system maintains flow state persistence until opposing band breakout occurs, providing clear trend classification without whipsaw signals during normal volatility fluctuations. 🔶 Comprehensive Visual Architecture Provides multi-dimensional flow visualization through color-coded DEMA line, trend-synchronized candle coloring, and bar color overlay for complete chart integration. The system uses institutional color scheme with neon green for bullish flow, neon red for bearish flow, and neutral gray for undefined states with configurable band visibility. 🔶 Asymmetric Band Configuration Features intelligent asymmetric ATR multiplier system with default upper multiplier of 2.1 and lower multiplier of 1.5, optimizing for market dynamics where upside breakouts often require stronger momentum confirmation than downside breaks. This configuration reduces false signals while maintaining sensitivity to genuine flow changes. 🔶 Dual-Layer Smoothing Methodology Combines DEMA's inherent lag reduction with HL median filtering to create exceptional smoothing without sacrificing responsiveness. The system first applies double exponential smoothing for initial noise reduction, then applies median filtering to eliminate outliers and create ultra-clean flow baseline suitable for high-frequency and institutional trading applications. 🔶 Alert Integration System Features comprehensive alert framework for flow state transitions with customizable notifications for bullish and bearish flow confirmations. The system provides real-time alerts on crossover events with clear directional indicators and exchange/ticker integration for multi-symbol monitoring capabilities. 🔶 Performance Optimization Framework Utilizes efficient array management with optimized median calculation algorithms and minimal variable overhead for smooth operation across all timeframes. The system includes intelligent bar indexing for median filter initialization and streamlined flow state tracking for consistent performance during extended analysis periods. 🔶 Why Choose DEMA Flow ? This indicator delivers sophisticated flow identification through dual-layer smoothing architecture and volatility-adaptive band methodology. By combining DEMA's reduced-lag characteristics with HL median filtering and ATR-based breakout zones, it provides institutional-grade flow analysis with exceptional noise reduction and minimal false signals. The system's asymmetric band structure and comprehensive visual integration make it essential for traders seeking systematic trend-following approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities for automated trading strategies.
Indicatore Pine Script®
di AlphaExtract
1
VWAP Kalman FilterOverview This indicator applies Kalman filtering techniques to Volume Weighted Average Price (VWAP) calculations, providing a statistically optimized approach to VWAP analysis. The Kalman filter reduces noise while maintaining responsiveness to genuine price movements, addressing common VWAP limitations in volatile or low-volume conditions. Technical Implementation Kalman Filter Mathematics The indicator implements a state-space model for VWAP estimation: - Prediction Step: x̂(k|k-1) = x̂(k-1|k-1) + v(k-1) - Update Step: x̂(k|k) = x̂(k|k-1) + K(k) - Kalman Gain: K(k) = P(k|k-1) / (P(k|k-1) + R) Where: - x̂ = estimated VWAP state - K = Kalman gain (adaptive weighting factor) - P = error covariance - R = measurement noise - Q = process noise - v = optional velocity component Core Components Dual VWAP System - Standard VWAP: Traditional volume-weighted calculation - Kalman-filtered VWAP: Noise-reduced estimation with optional velocity tracking - Real-time divergence measurement between filtered and unfiltered values Adaptive Filtering - Process Noise (Q): Controls adaptation to price changes (0.001-1.0) - Measurement Noise (R): Determines smoothing intensity (0.01-5.0) - Optional velocity tracking for momentum-based filtering Multi-Timeframe Anchoring - Session, Weekly, Monthly, Quarterly, and Yearly anchor periods - Automatic Kalman state reset on anchor changes - Maintains VWAP integrity across timeframes Features Visual Components - Dual VWAP Lines: Compare filtered vs. unfiltered in real-time - Dynamic Bands: Three-level deviation bands (1σ, 2σ, 3σ) - Trend Coloring: Automatic color adaptation based on price position - Cloud Visualization: Highlights divergence between standard and Kalman VWAP - Signal Markers: Crossover and band-touch indicators Trading Signals - VWAP crossover detection with Kalman filtering - Band touch alerts at multiple standard deviation levels - Velocity-based momentum confirmation (optional) - Divergence warnings when filtered/unfiltered values separate Information Display - Real-time VWAP values (both standard and filtered) - Trend direction indicator - Velocity/momentum reading (when enabled) - Divergence percentage calculation - Anchor period display Input Parameters VWAP Settings - Anchor Period: Choose calculation reset period - Band Multipliers: Customize deviation band distances - Display Options: Toggle standard VWAP and bands Kalman Parameters - Length: Base period for calculations (5-200) - Process Noise (Q: Higher values increase responsiveness - Measurement Noise (R): Higher values increase smoothing - Velocity Tracking: Enable momentum-based filtering Visual Controls - Toggle filtered/unfiltered VWAP display - Band visibility options - Signal markers on/off - Cloud fill between VWAPs - Bar coloring by trend Use Cases Noise Reduction Particularly effective during: - Low volume periods (pre-market, lunch hours) - Volatile market conditions - Fast-moving markets where standard VWAP whipsaws Trend Identification - Cleaner trend signals with reduced false crosses - Earlier trend detection through velocity component - Confirmation through divergence analysis Support/Resistance - Filtered VWAP provides more stable S/R levels - Bands adapt to filtered values for better zone identification - Reduced false breakout signals Technical Advantages 1. Optimal Estimation: Mathematically optimal under Gaussian noise assumptions 2. Adaptive Response: Self-adjusting to market conditions 3. Predictive Element: Velocity component provides forward-looking insight 4. Noise Immunity: Superior noise rejection vs. simple moving average smoothing Limitations - Assumes linear price dynamics - Requires parameter optimization for different instruments - May lag during sudden volatility regime changes - Not suitable as standalone trading system Mathematical Background Based on control systems theory, the Kalman filter provides recursive Bayesian estimation originally developed for aerospace applications. This implementation adapts the algorithm specifically for financial time series, maintaining VWAP's volume-weighted properties while adding statistical filtering. Comparison with Standard VWAP Standard VWAP Issues Addressed: - Choppy behavior in low volume - Whipsaws around VWAP line - Lag in trend identification - Noise in deviation bands Kalman VWAP Benefits: - Smooth yet responsive line - Fewer false signals - Optional momentum tracking - Statistically optimized filtering Alert Conditions The indicator includes several pre-configured alert conditions: - Bullish/Bearish VWAP crosses - Upper/Lower band touches - High divergence warnings - Velocity shifts (if enabled) --- This open-source indicator is provided as-is for educational and trading purposes. No guarantees are made regarding trading performance. Users should conduct their own testing and validation before using in live trading.
Indicatore Pine Script®
di yundore
Quantura - Session High/LowIntroduction “Quantura – Session High/Low” is a professional-grade session mapping indicator that automatically identifies and visualizes the highs, lows, and ranges of key global trading sessions — London, New York, and Asia. It helps traders understand when and where liquidity tends to accumulate, allowing for better market structure analysis and session-based strategy alignment. Originality & Value This indicator unifies the three most influential global sessions into a single, adaptive visualization tool. Unlike typical session indicators, it dynamically updates live session highs and lows in real time while marking session boundaries and transitions. Its multi-session management system allows for immediate recognition of overlapping liquidity zones — a crucial feature for institutional and intraday traders. The value and originality come from: Real-time tracking of session highs, lows, and developing ranges. Simultaneous visualization of multiple global sessions. Optional vertical range lines for clearer visual segmentation. Customizable session times, colors, and time zone offset for global accuracy. Automatically extending and updating lines as each session progresses. Functionality & Core Logic Detects the start and end of each trading session (London, New York, Asia) using built-in time logic and user-defined UTC offsets. Initializes session-specific high and low variables at the start of each new session. Continuously updates session high/low levels as new candles form. Draws color-coded horizontal lines for each session’s high and low. Optionally adds vertical dotted lines to visually connect session range extremes. Locks each session’s range once it ends, preserving historical structure for review. Parameters & Customization New York Session: Enable/disable, customize time (default 15:30–21:30), and set color. London Session: Enable/disable, customize time (default 09:00–16:30), and set color. Asia Session: Enable/disable, customize time (default 02:30–08:00), and set color. Vertical Line: Toggle dotted vertical lines connecting session high and low levels. UTC Offset: Adjust session timing to align with your chart’s local time zone. Visualization & Display Each session is color-coded for quick identification (default: blue for London, red for New York, green for Asia). Horizontal lines track evolving session highs and lows in real time. Once a session closes, the lines remain fixed to mark historical range boundaries. Vertical dotted lines (optional) visually connect the session’s high and low for clarity. Supports full overlay display without interfering with other technical indicators. Use Cases Identify liquidity zones and range extremes formed during active trading sessions. Observe session overlaps (London–New York) to anticipate volatility spikes. Combine with volume or market structure tools for session-based confluence. Track how price interacts with prior session highs/lows to detect potential reversals. Analyze session-specific performance patterns for algorithmic or discretionary systems. Limitations & Recommendations The indicator is designed for intraday analysis and may not provide meaningful output on daily or higher timeframes. Adjust session times and UTC offset based on your broker’s or exchange’s timezone. Does not provide trading signals — it visualizes session structure only. Combine with liquidity and volatility indicators for full contextual understanding. Markets & Timeframes Compatible with all asset classes — including crypto, forex, indices, and commodities — and optimized for intraday timeframes (1m–4h). Particularly useful for traders analyzing session overlaps and volatility transitions. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description fully complies with TradingView’s Script Publishing Rules and House Rules . It provides a detailed explanation of functionality, parameters, and realistic use cases without making any performance or predictive claims.
Indicatore Pine Script®
di Quantura
Quantura - Liquidity Sweep & Run LevelsIntroduction “Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits. Originality & Value This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations. Its originality lies in: Automatic identification and tracking of swing highs and lows. Real-time detection of broken levels and liquidity sweeps. Distinction between “Run” and “Sweep” modes for different market behaviors. Persistent historical visualization of liquidity levels using clean line structures. Configurable signal markers for bullish and bearish sweep confirmations. Functionality & Core Logic Detects swing highs and lows using a user-defined Swing Length parameter. Stores and updates all swing levels dynamically with arrays for efficient memory handling. Draws horizontal lines from each detected swing point to visualize potential liquidity zones. Monitors when price breaks a swing level and marks that event as “broken.” Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode. Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps). Parameters & Customization Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations). Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points. Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers. Signals: Enables or disables visual up/down markers for confirmed events. Visualization & Display Horizontal lines represent potential liquidity levels (unbroken swing highs/lows). Once broken, lines automatically stop extending, marking the moment liquidity is taken. Depending on the selected mode: “Sweep” mode identifies false breaks or stop-hunt behavior. “Run” mode highlights breakouts that continue the trend. Colored arrows indicate the direction and type of liquidity reaction. Clean, non-intrusive visualization suitable for overlaying on price charts. Use Cases Detect liquidity sweeps before major reversals. Identify breakout continuations after liquidity runs. Combine with Supply/Demand or FVG indicators for multi-layered confirmation. Validate liquidity bias in algorithmic or discretionary strategies. Analyze market manipulation patterns and institutional stop-hunting behavior. Limitations & Recommendations This indicator identifies structural behavior but does not guarantee trade direction or profitability. Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices). Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters. Excessively small swing settings may cause over-signaling in volatile markets. Markets & Timeframes Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts). Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.
Indicatore Pine Script®
di Quantura
Quantura - Fair Value GapIntroduction “Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing. Originality & Value Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference. Its value lies in: Dynamic statistical filtering based on gap standard deviation. Optional volume confirmation for high-confidence FVGs. Automatic merging of overlapping or adjacent gaps for clean visualization. Support for both bullish and bearish imbalances. Signal alerts when gaps are filled or rebalanced by price. Functionality & Core Logic Detects Fair Value Gaps by comparing candle-to-candle price displacement. Applies a Gap Filter (standard deviation-based) to qualify valid gaps. Optionally validates gaps formed under significant volume conditions. Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies. Monitors each FVG until price fills the gap, at which point the box is visually closed. Provides optional signal markers (“▲” or “▼”) when rebalancing occurs. Parameters & Customization Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps. Volume Filter: Toggles additional validation using relative volume strength. Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap. Bullish/Bearish Colors: Customize color schemes for imbalance zones. Extend Gaps: Optionally extend open gaps forward for better confluence tracking. Signals: Enables or disables gap-fill signal markers. Visualization & Display Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies. Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies. Overlapping zones are merged automatically to maintain clarity. Filled gaps remain visible for historical context, allowing for post-event analysis. Optional signal arrows display when price returns to rebalance an FVG. Use Cases Identify institutional inefficiencies and liquidity voids. Detect premium and discount levels in trending markets. Combine with market structure or order block indicators for confluence. Track when price rebalances inefficiencies to refine entry/exit points. Build FVG-based algorithmic strategies that rely on structural imbalance resolution. Limitations & Recommendations The indicator detects structural imbalances but does not predict future direction or guarantee profitability. Volume filters may behave differently across brokers due to data-source differences. Use alongside structure or liquidity tools for enhanced decision-making. Extreme volatility or illiquid assets may generate temporary invalid gaps. Markets & Timeframes Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.
Indicatore Pine Script®
di Quantura