Mulakan

Moving Averages

RVOL + Volume Z-Score (Textbook)This indicator is a relative-volume and “volume anomaly” dashboard designed to help you quickly spot when a ticker is actually in-play versus simply drifting on normal activity. It plots standard volume bars (colored by up/down candles) and overlays multiple optional smoothers of volume (SMA, LSMA/linear-regression MA, HMA, ALMA) so you can see whether participation is expanding or fading across different smoothing styles. It also calculates RVOL (current bar volume divided by the average volume over a user-defined lookback) and displays RVOL (and Z) in a small table for quick reference. The core feature is a textbook volume z-score: Z=(V−SMA(V,N))/StDev(V,N) This measures how far the current bar’s volume is from its recent average in standard-deviation units, making it easy to filter for genuinely unusual volume. The script plots mean + 1σ and mean + 2σ threshold bands and can highlight “anomaly” volume bars when Z exceeds your chosen σ thresholds (default 1σ for broader detection, with alerts available for 1σ/2σ). Use it as a participation filter: combine high RVOL / high Z with your price structure (key levels, VWAP, trend) to validate breakouts or identify high-conviction reversal/flush events.
Penunjuk Pine Script®
oleh sv_nikolov
VV Moving Average Convergence Divergence # VMACDv3 - Volume-Weighted MACD with A/D Divergence Detection ## Overview **VMACDv3** (Volume-Weighted Moving Average Convergence Divergence Version 3) is a momentum indicator that applies volume-weighting to traditional MACD calculations on price, while using the Accumulation/Distribution (A/D) line for divergence detection. This hybrid approach combines volume-weighted price momentum with volume distribution analysis for comprehensive market insight. ## Key Features - **Volume-Weighted Price MACD**: Traditional MACD calculation on price but weighted by volume for earlier signals - **A/D Divergence Detection**: Identifies when A/D trend diverges from MACD momentum - **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise - **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength - **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences ## Difference from ACCDv3 | Aspect | VMACDv3 | ACCDv3 | |--------|---------|---------| | **MACD Input** | **Price (Close)** | **A/D Line** | | **Volume Weighting** | Applied to price | Applied to A/D line | | **Primary Signal** | Volume-weighted price momentum | Volume distribution momentum | | **Use Case** | Price momentum with volume confirmation | Volume flow and accumulation/distribution | | **Sensitivity** | More responsive to price changes | More responsive to volume patterns | | **Best For** | Trend following, breakouts | Volume analysis, smart money tracking | **Key Insight**: VMACDv3 shows *where price is going* with volume weight, while ACCDv3 shows *where volume is accumulating/distributing*. ## Components ### 1. Volume-Weighted MACD on Price Unlike standard MACD that uses simple price EMAs, VMACDv3 weights each price by its corresponding volume: ``` Fast Line = EMA(Price × Volume, 12) / EMA(Volume, 12) Slow Line = EMA(Price × Volume, 26) / EMA(Volume, 26) MACD = Fast Line - Slow Line ``` **Benefits of Volume Weighting**: - High-volume price movements have greater impact - Filters out low-volume noise and false moves - Provides earlier trend change signals - Better reflects institutional activity ### 2. Accumulation/Distribution (A/D) Line Used for divergence detection, measuring buying/selling pressure: ``` A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume ``` - **Rising A/D**: Accumulation (buying pressure) - **Falling A/D**: Distribution (selling pressure) - **Doji Handling**: When High = Low, contribution is zero ### 3. Signal Lines - **MACD Line** (Blue, #2962FF): The fast-slow difference showing momentum - **Signal Line** (Orange, #FF6D00): EMA or SMA smoothing of MACD - **Zero Line**: Reference for bullish (above) vs bearish (below) bias ### 4. Histogram Color System The histogram uses 4 distinct colors based on **direction** and **volume strength**: | Condition | Color | Meaning | |-----------|-------|---------| | Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation | | Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) | | Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation | | Falling + Low Volume | **Light Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) | Additional shading: - **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling) - **Bright Red** (#FF5252): Negative and accelerating down ### 5. Divergence Detection VMACDv3 compares A/D trend against volume-weighted price MACD: #### Bullish Divergence (Green Background) - **Condition**: A/D is trending up BUT MACD is negative and trending down - **Interpretation**: Volume is accumulating while price momentum appears weak - **Signal**: Smart money accumulation, potential bullish reversal - **Action**: Look for long entries, especially at support levels #### Bearish Divergence (Red Background) - **Condition**: A/D is trending down BUT MACD is positive and trending up - **Interpretation**: Volume is distributing while price momentum appears strong - **Signal**: Smart money distribution, potential bearish reversal - **Action**: Consider exits, avoid new longs, watch for breakdown ## Parameters | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Source** | Close | OHLC/HLC3/etc | Price source for MACD calculation | | **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) | | **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) | | **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) | | **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation | | **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) | ## Usage Guide ### Reading the Indicator 1. **MACD Lines (Blue & Orange)** - **Blue Line (MACD)**: Volume-weighted price momentum - **Orange Line (Signal)**: Smoothed trend of MACD - **Crossovers**: Blue crosses above orange = bullish, below = bearish - **Distance**: Wider gap = stronger momentum - **Zero Line Position**: Above = bullish bias, below = bearish bias 2. **Histogram Colors** - **Dark Green (#1B5E20)**: Strong bullish move with high volume - **most reliable buy signal** - **Light Teal (#26A69A)**: Bullish but low volume - wait for confirmation - **Dark Red (#B71C1C)**: Strong bearish move with high volume - **most reliable sell signal** - **Light Pink (#FFCDD2)**: Bearish but low volume - may be temporary dip 3. **Background Divergence Alerts** - **Green Background**: A/D accumulating while price weak - potential bottom - **Red Background**: A/D distributing while price strong - potential top - Most powerful at key support/resistance levels ### Trading Strategies #### Strategy 1: Volume-Confirmed Trend Following 1. Wait for MACD to cross above zero line 2. Look for **dark green** histogram bars (high volume confirmation) 3. Enter long on second consecutive dark green bar 4. Hold while histogram remains green 5. Exit when histogram turns light green or red appears 6. Set stop below recent swing low **Example**: ``` Price: 26,400 → 26,450 (rising) MACD: -50 → +20 (crosses zero) Histogram: Light teal → Dark green → Dark green Volume: 50k → 75k → 90k (increasing) ``` #### Strategy 2: Divergence Reversal Trading 1. Identify divergence background (green = bullish, red = bearish) 2. Confirm with price structure (support/resistance, chart patterns) 3. Wait for MACD to cross signal line in divergence direction 4. Enter on first **dark colored** histogram bar after divergence 5. Set stop beyond divergence area 6. Target previous swing high/low **Example - Bullish Divergence**: ``` Price: Making lower lows (26,350 → 26,300 → 26,250) A/D: Rising (accumulation) MACD: Below zero but starting to curve up Background: Green shading appears Entry: MACD crosses signal line + dark green bar Stop: Below 26,230 Target: 26,450 (previous high) ``` #### Strategy 3: Momentum Scalping 1. Trade only in direction of MACD zero line (above = long, below = short) 2. Enter on dark colored bars only 3. Exit on first light colored bar or opposite color 4. Quick in and out (1-5 minute holds) 5. Tight stops (0.2-0.5% depending on instrument) #### Strategy 4: Histogram Pattern Trading **V-Bottom Reversal (Bullish)**: - Red histogram bars start rising (becoming less negative) - Forms "V" shape at the bottom - Transitions to light red → light teal → **dark green** - Entry: First dark green bar - Signal: Momentum reversal with volume **Λ-Top Reversal (Bearish)**: - Green histogram bars start falling (becoming less positive) - Forms inverted "V" at the top - Transitions to light green → light pink → **dark red** - Entry: First dark red bar - Signal: Momentum exhaustion with volume ### Multi-Timeframe Analysis **Recommended Approach**: 1. **Higher Timeframe (15m/1h)**: Identify overall trend direction 2. **Trading Timeframe (5m)**: Time entries using VMACDv3 signals 3. **Lower Timeframe (1m)**: Fine-tune entry prices **Example Setup**: ``` 15-minute: MACD above zero (bullish bias) 5-minute: Dark green histogram appears after pullback 1-minute: Enter on break of recent high with volume ``` ### Volume Strength Interpretation The volume filter compares current volume to 20-period average: - **Volume > Average**: Dark colors (green/red) - high confidence signals - **Volume < Average**: Light colors (teal/pink) - lower confidence signals **Trading Rules**: - ✓ **Aggressive**: Take all dark colored signals - ✓ **Conservative**: Only take dark colors that follow 2+ light colors of same type - ✗ **Avoid**: Trading light colored signals during high volatility - ✗ **Avoid**: Ignoring volume context during news events ## Technical Details ### Volume-Weighted Calculation ```pine // Volume-weighted fast EMA fast_ma = ta.ema(src * volume, fast_length) / ta.ema(volume, fast_length) // Volume-weighted slow EMA slow_ma = ta.ema(src * volume, slow_length) / ta.ema(volume, slow_length) // MACD is the difference macd = fast_ma - slow_ma // Signal line smoothing signal = ta.ema(macd, signal_length) // or ta.sma() if SMA selected // Histogram hist = macd - signal ``` ### Divergence Detection Logic ```pine // A/D trending up if above its 5-period SMA ad_trend = ad > ta.sma(ad, 5) // MACD trending up if above zero macd_trend = macd > 0 // Divergence when trends oppose each other divergence = ad_trend != macd_trend // Specific conditions for alerts bullish_divergence = ad_trend and not macd_trend and macd < 0 bearish_divergence = not ad_trend and macd_trend and macd > 0 ``` ### Histogram Coloring Logic ```pine hist_color = (hist >= 0 ? (hist < hist ? (vol_strength ? #1B5E20 : #26A69A) // Rising: dark/light green : #B2DFDB) // Positive but falling: cyan : (hist < hist ? (vol_strength ? #B71C1C : #FFCDD2) // Rising (less negative): dark/light red : #FF5252)) // Falling more: bright red ``` ## Alerts Built-in alert conditions for divergence detection: ### Bullish Divergence Alert - **Trigger**: A/D trending up, MACD negative and trending down - **Message**: "Bullish Divergence: A/D trending up but MACD trending down" - **Use Case**: Potential reversal or continuation after pullback - **Action**: Look for long entry setups ### Bearish Divergence Alert - **Trigger**: A/D trending down, MACD positive and trending up - **Message**: "Bearish Divergence: A/D trending down but MACD trending up" - **Use Case**: Potential top or trend reversal - **Action**: Consider exits or short entries ### Setting Up Alerts 1. Click "Create Alert" in TradingView 2. Condition: Select "VMACDv3" 3. Choose alert type: "Bullish Divergence" or "Bearish Divergence" 4. Configure: Email, SMS, webhook, or popup 5. Set frequency: "Once Per Bar Close" recommended ## Comparison Tables ### VMACDv3 vs Standard MACD | Feature | Standard MACD | VMACDv3 | |---------|---------------|---------| | **Price Weighting** | Equal weight all bars | Volume-weighted | | **Sensitivity** | Fixed | Adaptive to volume | | **False Signals** | More during low volume | Fewer (volume filter) | | **Divergence** | Price vs MACD | A/D vs MACD | | **Volume Analysis** | None | Built-in | | **Color System** | 2 colors | 4+ colors | | **Best For** | Simple trend following | Volume-confirmed trading | ### VMACDv3 vs ACCDv3 | Aspect | VMACDv3 | ACCDv3 | |--------|---------|--------| | **Focus** | Price momentum | Volume distribution | | **Reactivity** | Faster to price moves | Faster to volume shifts | | **Best Markets** | Trending, breakouts | Accumulation/distribution phases | | **Signal Type** | Where price + volume going | Where smart money positioning | | **Divergence Meaning** | Volume vs price disagreement | A/D vs momentum disagreement | | **Use Together?** | ✓ Yes, complementary | ✓ Yes, different perspectives | ## Example Trading Scenarios ### Scenario 1: Strong Bullish Breakout ``` Time: 9:30 AM (market open) Price: Breaks above 26,400 resistance MACD: Crosses above zero line Histogram: Dark green bars (#1B5E20) Volume: 2x average (150k vs 75k avg) A/D: Rising (no divergence) Action: Enter long at 26,405 Stop: 26,380 (below breakout) Target 1: 26,450 (risk:reward 1:2) Target 2: 26,500 (risk:reward 1:4) Result: High probability setup with volume confirmation ``` ### Scenario 2: False Breakout (Avoided) ``` Time: 2:30 PM (slow period) Price: Breaks above 26,400 resistance MACD: Slightly positive Histogram: Light teal bars (#26A69A) Volume: 0.5x average (40k vs 75k avg) A/D: Flat/declining Action: Avoid trade Reason: Low volume, no conviction, potential false breakout Outcome: Price reverses back below 26,400 within 10 minutes Saved: Avoided losing trade due to volume filter ``` ### Scenario 3: Bullish Divergence Bottom ``` Time: 11:00 AM Price: Making lower lows (26,350 → 26,300 → 26,280) MACD: Below zero but curving upward Histogram: Red bars getting shorter (V-bottom forming) Background: Green shading (divergence alert) A/D: Rising despite price falling Volume: Increasing on down bars Setup: 1. Divergence appears at 26,280 (green background) 2. Wait for MACD to cross signal line 3. First dark green bar appears at 26,290 4. Enter long: 26,295 (next bar open) 5. Stop: 26,265 (below divergence low) 6. Target: 26,350 (previous swing high) Result: +55 points (30 point risk, 1.8:1 reward) Key: Divergence + volume confirmation = high probability reversal ``` ### Scenario 4: Bearish Divergence Top ``` Time: 1:45 PM Price: Making higher highs (26,500 → 26,520 → 26,540) MACD: Positive but flattening Histogram: Green bars getting shorter (Λ-top forming) Background: Red shading (bearish divergence) A/D: Declining despite rising price Volume: Decreasing on up bars Setup: 1. Bearish divergence at 26,540 (red background) 2. MACD crosses below signal line 3. First dark red bar appears at 26,535 4. Enter short: 26,530 5. Stop: 26,555 (above divergence high) 6. Target: 26,475 (support level) Result: +55 points (25 point risk, 2.2:1 reward) Key: Distribution while price rising = smart money exiting ``` ### Scenario 5: V-Bottom Reversal ``` Downtrend in progress MACD: Deep below zero (-150) Histogram: Series of dark red bars Pattern Development: Bar 1: Dark red, hist = -80, falling Bar 2: Dark red, hist = -95, falling Bar 3: Dark red, hist = -100, falling (extreme) Bar 4: Light pink, hist = -98, rising! Bar 5: Light pink, hist = -90, rising Bar 6: Light teal, hist = -75, rising (crosses to positive momentum) Bar 7: Dark green, hist = -55, rising + volume Action: Enter long on Bar 7 Reason: V-bottom confirmed with volume Stop: Below Bar 3 low Target: Zero line on histogram (mean reversion) ``` ## Best Practices ### Entry Rules ✓ **Wait for dark colors**: High-volume confirmation is key ✓ **Confirm divergences**: Use with price support/resistance ✓ **Trade with zero line**: Long above, short below for best odds ✓ **Multiple timeframes**: Align 1m, 5m, 15m signals ✓ **Watch for patterns**: V-bottoms and Λ-tops are reliable ### Exit Rules ✓ **Partial profits**: Take 50% at first target ✓ **Trail stops**: Use histogram color changes ✓ **Respect signals**: Exit on opposite dark color ✓ **Time stops**: Close positions before major news ✓ **End of day**: Square up before close ### Avoid ✗ **Don't chase light colors**: Low volume = low confidence ✗ **Don't ignore divergence**: Early warning system ✗ **Don't overtrade**: Wait for clear setups ✗ **Don't fight the trend**: Zero line dictates bias ✗ **Don't skip stops**: Always use risk management ## Risk Management ### Position Sizing - **Dark green/red signals**: 1-2% account risk - **Light signals**: 0.5% account risk or skip - **Divergence plays**: 1% account risk (higher uncertainty) - **Multiple confirmations**: Up to 2% account risk ### Stop Loss Placement - **Trend trades**: Below/above recent swing (20-30 points typical) - **Breakout trades**: Below/above breakout level (15-25 points) - **Divergence trades**: Beyond divergence extreme (25-40 points) - **Scalp trades**: Tight stops at 10-15 points ### Profit Targets - **Minimum**: 1.5:1 reward to risk ratio - **Scalps**: 15-25 points (quick in/out) - **Swing**: 50-100 points (hold through pullbacks) - **Runners**: Trail with histogram color changes ## Timeframe Recommendations | Timeframe | Trading Style | Typical Hold | Advantages | Challenges | |-----------|---------------|--------------|------------|------------| | **1-minute** | Scalping | 1-5 minutes | Fast profits, many setups | Noisy, high false signals | | **5-minute** | Intraday | 15-60 minutes | Balance of speed/clarity | Still requires quick decisions | | **15-minute** | Swing | 1-4 hours | Clearer trends, less noise | Fewer opportunities | | **1-hour** | Position | 4-24 hours | Strong signals, less monitoring | Wider stops required | **Recommendation**: Start with 5-minute for best balance of signal quality and opportunity frequency. ## Combining with Other Indicators ### VMACDv3 + ACCDv3 - **Use**: Confirm volume flow with price momentum - **Signal**: Both showing dark green = highest conviction long - **Divergence**: VMACDv3 bullish + ACCDv3 bearish = examine price action ### VMACDv3 + RSI - **Use**: Overbought/oversold with momentum confirmation - **Signal**: RSI < 30 + dark green VMACD = strong reversal - **Caution**: RSI > 70 + light green VMACD = potential false breakout ### VMACDv3 + Elder Impulse - **Use**: Bar coloring + histogram confirmation - **Signal**: Green Elder bars + dark green VMACD = aligned momentum - **Exit**: Blue Elder bars + light colors = momentum stalling ## Limitations - **Requires volume data**: Will not work on instruments without volume feed - **Lagging indicator**: MACD inherently follows price (2-3 bar delay) - **Consolidation noise**: Generates false signals in tight ranges - **Gap handling**: Large gaps can distort volume-weighted values - **Not standalone**: Should combine with price action and support/resistance ## Troubleshooting **Problem**: Too many light colored signals **Solution**: Increase Volume MA Length to 30-40 for stricter filtering **Problem**: Missing entries due to waiting for dark colors **Solution**: Lower Volume MA Length to 10-15 for more signals (accept lower quality) **Problem**: Divergences not appearing **Solution**: Verify volume data available; check if A/D line is calculating **Problem**: Histogram colors not changing **Solution**: Ensure real-time data feed; refresh indicator ## Version History - **v3**: Removed traditional MACD, using volume-weighted MACD on price with A/D divergence - **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors - **v1**: Basic volume-weighted MACD on price ## Related Indicators **Companion Tools**: - **ACCDv3**: Volume-weighted MACD on A/D line (distribution focus) - **RSIv2**: RSI with A/D divergence detection - **DMI**: Directional Movement Index with A/D divergence - **Elder Impulse**: Bar coloring system using volume-weighted MACD **Use Together**: VMACDv3 (momentum) + ACCDv3 (distribution) + Elder Impulse (bar colors) = complete volume-based trading system --- *This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.*
Penunjuk Pine Script®
oleh srinarayanant
ACCDv3# ACCDv3 - Accumulation/Distribution MACD with Divergence Detection ## Overview **ACCDv3** (Accumulation/Distribution MACD Version 3) is an advanced volume-weighted momentum indicator that combines the Accumulation/Distribution (A/D) line with MACD methodology and divergence detection. It helps identify trend strength, momentum shifts, and potential reversals by analyzing volume-weighted price movements. ## Key Features - **Volume-Weighted MACD**: Applies MACD calculation to volume-weighted A/D values for earlier, more reliable signals - **Divergence Detection**: Identifies when A/D trend diverges from MACD momentum - **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise - **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength - **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences ## Components ### 1. Accumulation/Distribution (A/D) Line The A/D line measures buying and selling pressure by comparing the close price to the trading range, weighted by volume: ``` A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume ``` - **Rising A/D**: More accumulation (buying pressure) - **Falling A/D**: More distribution (selling pressure) - **Doji Handling**: When High = Low, contribution is zero (avoids division errors) ### 2. Volume-Weighted MACD Instead of simple EMAs, the indicator weights A/D values by volume: - **Fast Line** (default 12): `EMA(A/D × Volume, 12) / EMA(Volume, 12)` - **Slow Line** (default 26): `EMA(A/D × Volume, 26) / EMA(Volume, 26)` - **MACD Line**: Fast Line - Slow Line (green line) - **Signal Line** (default 9): EMA or SMA of MACD (orange line) - **Histogram**: MACD - Signal (color-coded columns) This volume-weighting ensures that periods with higher volume have greater influence on the indicator values. ### 3. Histogram Color System The histogram uses 4 distinct colors based on **direction** and **volume strength**: | Condition | Color | Meaning | |-----------|-------|---------| | Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation | | Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) | | Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation | | Falling + Low Volume | **Light Red/Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) | Additional shading: - **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling) - **Bright Red** (#FF5252): Negative and accelerating down ### 4. Divergence Detection Divergence occurs when A/D trend and MACD momentum move in opposite directions: #### Bullish Divergence (Green Background) - **Condition**: A/D is trending up BUT MACD is negative and trending down - **Interpretation**: Accumulation increasing while momentum appears weak - **Signal**: Potential bullish reversal or continuation - **Action**: Look for entry opportunities or hold long positions #### Bearish Divergence (Red Background) - **Condition**: A/D is trending down BUT MACD is positive and trending up - **Interpretation**: Distribution increasing while momentum appears strong - **Signal**: Potential bearish reversal or weakening uptrend - **Action**: Consider exits, tighten stops, or prepare for reversal ## Parameters | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) | | **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) | | **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) | | **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation | | **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) | ## Usage Guide ### Reading the Indicator 1. **MACD Lines (Green & Orange)** - **Crossovers**: When green crosses above orange = bullish, below = bearish - **Distance**: Wider gap = stronger momentum - **Zero Line**: Above = bullish bias, below = bearish bias 2. **Histogram Colors** - Focus on **dark colors** (dark green/red) for high-confidence signals - Be cautious with **light colors** (teal/pink) - wait for volume confirmation - Watch for **rising red bars** (V-bottom pattern) = potential bullish reversal - Watch for **falling green bars** (Λ-top pattern) = potential bearish reversal 3. **Background Divergence Alerts** - **Green background**: Bullish divergence - consider long entries - **Red background**: Bearish divergence - consider exits or shorts - Best used in combination with price action and support/resistance levels ### Trading Strategies #### Trend Following 1. Wait for MACD to cross above zero line with dark green histogram 2. Enter long when histogram shows consecutive dark green bars 3. Exit when histogram turns light green or red appears #### Divergence Trading 1. Wait for background divergence alert (green or red) 2. Confirm with price action (support/resistance, candlestick patterns) 3. Enter on next dark-colored histogram bar in divergence direction 4. Set stops beyond recent swing high/low #### Volume Confirmation 1. Ignore signals during low-volume periods (light colors) 2. Take aggressive positions during high-volume confirmations (dark colors) 3. Use volume strength as position sizing guide (larger size on dark bars) ### Best Practices ✓ **Combine with price action**: Don't rely on indicator alone ✓ **Wait for dark colors**: High-volume bars are more reliable ✓ **Watch for divergences**: Early warning signs of reversals ✓ **Use multiple timeframes**: Confirm signals across 1m, 5m, 15m ✓ **Respect zero line**: Trading direction should align with MACD side ✗ **Don't chase light-colored signals**: Low volume = lower reliability ✗ **Don't ignore context**: Market structure and levels matter ✗ **Don't over-trade**: Wait for clear, high-volume setups ✗ **Don't ignore alerts**: Divergences are early warnings ## Technical Details ### Volume-Weighted Calculation Method Traditional MACD uses simple price EMAs. ACCDv3 weights each A/D value by its corresponding volume: ```pine // Volume-weighted fast EMA close_vol_fast = ta.ema(ad × volume, fast_length) vol_fast = ta.ema(volume, fast_length) vw_ad_fast = close_vol_fast / vol_fast // Same for slow EMA close_vol_slow = ta.ema(ad × volume, slow_length) vol_slow = ta.ema(volume, slow_length) vw_ad_slow = close_vol_slow / vol_slow // MACD is the difference macd = vw_ad_fast - vw_ad_slow ``` This ensures high-volume periods have proportionally more impact on the indicator. ### Volume Strength Filter Determines whether current volume is above or below average: ```pine vol_avg = ta.sma(volume, vol_length) vol_strength = volume > vol_avg ``` Used to select dark (high volume) vs light (low volume) histogram colors. ### Divergence Logic ```pine // A/D trending up if above its 5-period SMA ad_trend = ad > ta.sma(ad, 5) // MACD trending up if above zero macd_trend = macd > 0 // Divergence when trends oppose divergence = ad_trend != macd_trend // Specific conditions bullish_divergence = ad_trend and not macd_trend and macd < 0 bearish_divergence = not ad_trend and macd_trend and macd > 0 ``` ## Alerts The indicator includes built-in alert conditions: - **Bullish Divergence**: "Bullish Divergence: A/D trending up but MACD trending down" - **Bearish Divergence**: "Bearish Divergence: A/D trending down but MACD trending up" To enable: 1. Click "Create Alert" button in TradingView 2. Select "ACCDv3" as condition 3. Choose "Bullish Divergence" or "Bearish Divergence" 4. Configure notification method (popup, email, webhook, etc.) ## Comparison with Standard MACD | Feature | Standard MACD | ACCDv3 | |---------|---------------|---------| | **Input** | Close price | Accumulation/Distribution line | | **Weighting** | Simple EMA | Volume-weighted EMA | | **Divergence** | Price vs MACD | A/D vs MACD | | **Volume Analysis** | None | Built-in strength filter | | **Color System** | 2 colors (up/down) | 4+ colors (direction + volume) | | **Leading/Lagging** | Lagging | More leading (volume-weighted) | ## Example Scenarios ### Scenario 1: Strong Bullish Signal - **Chart**: MACD crosses above zero line - **Histogram**: Dark green bars (#1B5E20) appearing - **Volume**: Above 20-period average - **Action**: Enter long, strong momentum with volume confirmation ### Scenario 2: Weak Bearish Signal - **Chart**: MACD crosses below zero line - **Histogram**: Light pink bars (#FFCDD2) appearing - **Volume**: Below 20-period average - **Action**: Avoid shorting, low volume = unreliable signal ### Scenario 3: Bullish Divergence Reversal - **Chart**: Price making lower lows - **Indicator**: A/D line trending up, MACD negative - **Background**: Green shading appears - **Histogram**: Transitions from red to dark green - **Action**: Look for long entry on next dark green bar ### Scenario 4: V-Bottom Reversal - **Chart**: Downtrend in place - **Histogram**: Red bars start rising (becoming less negative) - **Pattern**: Forms "V" shape at bottom - **Confirmation**: Transitions to dark green bars - **Action**: Bullish reversal signal, consider long entry ## Timeframe Recommendations - **1-minute**: Scalping, very fast signals (noisy, use with caution) - **5-minute**: Intraday momentum trading (recommended) - **15-minute**: Swing entries, clearer trend signals - **1-hour+**: Position trading, major trend identification ## Limitations - **Requires volume data**: Will not work on instruments without volume - **Lag during consolidation**: MACD is inherently trend-following - **False signals in chop**: Sideways markets generate noise - **Not a standalone system**: Should be combined with price action and risk management ## Version History - **v3**: Removed traditional price MACD, using only volume-weighted A/D MACD with A/D divergence - **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors - **v1**: Basic MACD on A/D line with volume-weighted calculation ## Support & Further Reading For questions, updates, or to report issues, refer to the main project documentation or contact the developer. **Related Indicators in Suite:** - **VMACDv3**: Volume-weighted MACD on price (not A/D) - **RSIv2**: RSI with A/D divergence - **DMI**: Directional Movement Index with A/D divergence - **Elder Impulse**: Bar coloring system using volume-weighted MACD --- *This indicator is for educational purposes. Always practice proper risk management and never risk more than you can afford to lose.*
Penunjuk Pine Script®
oleh srinarayanant
Moving Average ExponentialThe EMA 50 Trend Filter At the heart of the Sniper system lies the 50-period Exponential Moving Average. Unlike simple moving averages, the EMA applies a weighting factor to recent price data, significantly reducing lag. Role in Strategy: Trend Identification: Serves as the binary divider between Long and Short bias. Dynamic Structure: Acts as dynamic support in uptrends and resistance in downtrends. Signal Filtering: The algorithm automatically suppresses any 'Buy' signals below the line and 'Sell' signals above it, ensuring you never trade against the institutional momentum.
Penunjuk Pine Script®
oleh GiladKatz
4
SuperTrend Basit BY İNCEBACAK//@version=5 indicator("SuperTrend Basit v5", overlay=true) // === Girdi ayarları === factor = input.float(3.0, "ATR Katsayısı") atrPeriod = input.int(10, "ATR Periyodu") // === Hesaplamalar === = ta.supertrend(factor, atrPeriod) // === Çizim === bodyColor = direction == 1 ? color.new(color.lime, 0) : color.new(color.red, 0) bgcolor(direction == 1 ? color.new(color.lime, 85) : color.new(color.red, 85)) plot(supertrend, color=bodyColor, linewidth=2, title="SuperTrend Çizgisi") // === Al/Sat sinyali === buySignal = ta.crossover(close, supertrend) sellSignal = ta.crossunder(close, supertrend) plotshape(buySignal, title="AL", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.small, text="AL") plotshape(sellSignal, title="SAT", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="SAT")
Penunjuk Pine Script®
oleh ARMAGAN007
EMA Color Cross + Trend Bars + Background BY İNCEBACAK//@version=5 indicator("EMA Color Cross + Trend Bars + Background", overlay=true) // EMA ayarları shortEMA = input.int(9, "Short EMA") longEMA = input.int(21, "Long EMA") emaShort = ta.ema(close, shortEMA) emaLong = ta.ema(close, longEMA) // Trend yönü trendUp = emaShort > emaLong trendDown = emaShort < emaLong // EMA çizgileri trend yönüne göre renk değiştirsin plot(emaShort, color=trendUp ? color.green : color.red, linewidth=4) plot(emaLong, color=trendUp ? color.green : color.red, linewidth=4) // Barları trend yönüne göre renklendir barcolor(trendUp ? color.green : color.red) // Arka plan trend yönüne göre bgcolor(trendUp ? color.new(color.green, 85) : color.new(color.red, 85)) // Kesişim sinyalleri ve oklar longSignal = ta.crossover(emaShort, emaLong) shortSignal = ta.crossunder(emaShort, emaLong) plotshape(longSignal, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large) plotshape(shortSignal, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large)
Penunjuk Pine Script®
oleh ARMAGAN007
Gemini Hibrit Avcı (Supertrend + StochRSI)SupertrendOption 1: Natural & Conversational (Best Match for Original Tone) This version captures the explanatory, "speaking to a friend" vibe of your Turkish text. Supertrend: When you look at the chart, you'll see Green or Red clouds in the background. This basically tells you, "Should you only be thinking about buying right now, or selling?" Stoch RSI: You know how the price sometimes makes a correction (drops slightly) even when the Supertrend is green? This indicator catches the exact moment that correction ends and the price starts heading back up (the K and D crossover). EMA 200 Filter: This comes enabled by default in your settings. It means: "If the price is below the 200-day average, do not—under any circumstances—enter a trade, even if the Supertrend gives a BUY signal." This protects you from fake rallies (bull traps) during a bear market.
Penunjuk Pine Script®
oleh tlg13ts
Supertrend + MACD + HMAIndicator Description: Supertrend + MACD + HMA General Summary It is a composite technical indicator that combines three analysis tools to generate buy and sell signals in institutional trading. It uses confirmation from multiple indicators to increase the precision of market entries. Components 1. Supertrend (ST) Function: Identifies the main market trend (bullish or bearish) Parameters: ATR Length 10, Factor 3.0 Visualization: Green line = Bullish trend Red line = Bearish trend Semi-transparent green/red background that fills the area according to direction How it works: Uses ATR (Average True Range) to calculate dynamic support and resistance bands 2. MACD (Moving Average Convergence Divergence) Function: Measures price momentum and direction Parameters: Fast 18, Slow 144, Signal Smoothing 9 Components: MACD Line (orange): Difference between two EMAs Signal Line (purple): EMA of the MACD Histogram (green/red columns): Difference between MACD and its signal Green = Positive histogram (bullish momentum) Red = Negative histogram (bearish momentum) 3. HMA 100 (Hull Moving Average) Function: Identifies support/resistance level and price direction Parameters: Length 100 Visualization: Blue thick line Characteristics: Less lag than traditional moving averages Price > HMA = Bullish trend Price < HMA = Bearish trend Signal Logic 🟢 BUY SIGNAL Generated when ANY of these conditions is met: Total Confluence: MACD positive (histogram > 0) Price above HMA 100 Supertrend in Bullish mode Supertrend Change: Supertrend changes from Bearish to Bullish MACD remains positive Price above HMA Price Crossover: Price crosses above HMA (at candle close) Supertrend is in Bullish mode MACD is positive 🔴 SELL SIGNAL Generated when ANY of these conditions is met: Total Confluence: MACD negative (histogram < 0) Price below HMA 100 Supertrend in Bearish mode Supertrend Change: Supertrend changes from Bullish to Bearish MACD remains negative Price Crossover: Price crosses below HMA (at candle close) Supertrend is in Bearish mode MACD is negative Important Features ✅ Single Signal Per Type Once a BUY is generated, no other BUY is generated until a SELL appears Avoids multiple entries in the same direction ✅ Crossover Detection The indicator generates signals at candle close when price crosses HMA Allows capturing quick market moves ✅ Trend Changes Detects when Supertrend changes direction Provides early exits from the market ✅ Automatic Alerts Push notifications when BUY or SELL is generated Ideal for automated trading
Penunjuk Pine Script®
oleh julioperez75955
Moving Average Channel Breakout (No Repaint) This indicator creates a channel using two simple moving averages: SMA of highs (upper line) and SMA of lows (lower line). How it works: - When a candle closes above the upper channel line, the following candles turn green (bullish trend) - When a candle closes below the lower channel line, the following candles turn red (bearish trend) - The trend color remains until a breakout in the opposite direction occurs Anti-repaint: This indicator does NOT repaint. The candle color is determined at the open, based on the previous candle's close. Once a candle opens with a color, that color never changes. Breakout strategy: - Candle opens green → Long entry signal - Candle opens red → Short entry signal The signal and entry moment are perfectly synchronized at the candle open, making it ideal for systematic breakout strategies.
Penunjuk Pine Script®
oleh Pedro_Romao
EMA/SMA Crossover Signals📊 EMA/SMA Crossover Signals A professional trading indicator that identifies golden and death crosses between a customizable EMA and SMA with clear BUY/SELL labels displayed directly on your chart. 🎯 Key Features: ✅ Customizable Moving Averages - Adjust both EMA and SMA periods to match your trading strategy ✅ Clear Signal Labels - Large, color-coded "BUY" and "SELL" labels that are impossible to miss ✅ Adjustable Label Positioning - Control the vertical distance of signal labels from price action ✅ Professional Color Customization - Change colors for both moving averages and signals to match your theme ✅ Label Size Options - Choose from 4 different sizes (Tiny, Small, Normal, Large) ✅ Audio Alerts - Get notified instantly when crossovers occur ✅ Overlay Display - Signals appear directly on your price chart for better context 📈 How It Works: 🟢 BUY Signal: Triggered when the EMA crosses above the SMA (bullish crossover) 🔴 SELL Signal: Triggered when the EMA crosses below the SMA (bearish crossover) ⚙️ Customizable Settings: Moving Averages: - EMA Period (Default: 8) - SMA Period (Default: 200) Colors: - EMA Color - SMA Color - Buy Signal Color - Sell Signal Color Signal Settings: - Signal Vertical Offset - Label Vertical Offset - Label Size 💡 Best For: - Day Trading (1-5 min timeframes) - Swing Trading (4H-Daily) - Trend Following Strategies - Identifying momentum shifts - Confirming market structure changes 🔔 Perfect for traders using ICT, Wyckoff, and institutional trading methodologies Use this indicator as part of your complete trading system. Always combine with proper risk management and additional confluence factors.
Penunjuk Pine Script®
oleh julioperez75955
Responsive ADX (RADX)Introducing the new Responsive ADX (RADX), running with a (length = 9) and exactly how it differs from the standard built-in ADX you see on TradingView chart. This indicator is still a true ADX at its core — it measures trend strength from 0 to 100 and uses the classic +DI and –DI lines to show direction — but it has been carefully "tuned" to react noticeably faster while staying smooth and usable. With the length set to 9, it is one of the most responsive versions you can run without turning into noise. How it behaves differently from the normal (Wilder) ADX Normal ADX is lagging, now this version gives you the same trend-strength reading 4–8 bars earlier than the built-in ADX. On a daily chart that can easily be 4–8 calendar days of earlier warning. On a 4-hour chart it’s 16–32 hours earlier. That head-start is the whole point. The ADX line rises and falls much quicker. When a new trend actually starts, you will often see this Fast ADX cross above 18–20 while the built-in ADX is still sleeping below 15. Conversely, when a trend dies, this version drops faster, so you’re not left holding a dead trade for an extra week. The +DI and –DI lines are almost identical to the original, but lightly smoothed with a 5-period EMA (you can turn this off). This makes the DI crossovers cleaner and reduces whipsaws without adding meaningful lag. The final ADX smoothing uses a lightweight Hull-style technique instead of Wilder’s very slow RMA. This is the main “secret sauce” that removes roughly half the lag while keeping the line smooth and readable. Values are realistic and tradable. With length 9 you will typically see: – 0–18 = flat / chop – 15–20 = emerging trend (background starts colouring) – 20–50 = strong trend (most people take this as confirmation) – above 50–60 only in very powerful moves (same as normal ADX) The aqua / purple background only appears when both conditions are met: the correct DI is on top and Fast ADX is above your chosen “weak-to-trending” level (default 18). This prevents the background from flashing on and off in sideways markets — exactly the same logic you liked in the original Trinity ADX, but now much earlier. In very simple terms Think of the normal built-in ADX as a diesel truck — reliable but slow to accelerate and slow to stop. Fast Responsive ADX with length 9 is the same truck with a turbocharger — same destination and same load capacity, but it gets up to speed twice as fast and brakes earlier when the road turns. We would recommend people who switch to this version keep the (length 9–12) because the edge in timing is obvious on the chart. That’s it — this is a new more responsive version, still-logical ADX!
Penunjuk Pine Script®
oleh EMA34TRADER
1
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator Introduction and Theoretical Background Design Rationale Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime. Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility. The Solution Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring. How It Works This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals: Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals. Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking. Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion. Why Use It? Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time. ◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow). ◦ Magenta/Pink Flow: Strong Bearish Trend. ◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop. Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend. ⚖️ Chapter 1: System Architecture Introduction: Composite Analytical Framework System Overview Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior. Operational Objective The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence. Market Microstructure Analysis: Limitations of Conventional Models Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies: • Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance. • Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events. • Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution. Core Design Principles To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles: Principle A: Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility. Principle B: Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon. • Concept: This visualization represents the aggregate strength and consistency of the trend. • Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness. Principle C: Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors: 1. Volatility: Confirmed expansion via the Impulse Core. 2. Momentum: Directional alignment via the Hybrid Oscillator. 3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts. 🔍 Chapter 2: Core Modules & Algorithmic Logic Module A: Impulse Core (Normalized Volatility Deviation) Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states. Volatility Z-Score Normalization The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread. ◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion. ◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance. ◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration. f_impulse() => atr_f = ta.atr(fastLen) // Fast Volatility Baseline atr_s = ta.atr(slowLen) // Slow Volatility Baseline std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation (atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation Algorithmic Framework • Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30). • Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback. • Signal Generation: ◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase. ◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move. Module B: Gradient Oscillator (RSI-SMA Hybrid) Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence. Technical Architecture • Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally. • State Analysis: Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals. • Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions. // Laminar Flow Validation f_validate_trend() => // Calculate spread between Ribbon layers ribbon_spread = ta.stdev(ribbon_array, 15) // Only allow signals if Ribbon is expanded (Laminar Flow) is_flowing = ribbon_spread > min_expansion_threshold // If compressed (Knotted), force signal to false is_flowing ? signal : na Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation) This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends. Dynamic Threshold Adjustment • Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles. • Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic. • Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion. Anti-Greed Logic: Dynamic Threshold Calculation f_adjust_threshold(base_slope, win_streak) => // Adds a 10% penalty to the difficulty for every consecutive win penalty_factor = 0.10 risk_scaler = 1 + (win_streak * penalty_factor) // Returns the new, harder-to-reach threshold base_slope * risk_scaler Module D: Trend Baseline (Triple-Smoothed Structure) The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration. Smoothing Stages 1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action. 2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data. 3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve. Functionality This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline 🚦 Chapter 3: Risk Management & Exit Protocols Quantitative Risk Management (TP/SL & Trailing) Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime. • ATR-Based Dynamic Bracketing: The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR). ◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise. ◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry. • Close-Validation Protocol ("Soft Stop"): Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory. ◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold. ◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility. • Step-Function Trailing Mechanism: To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed: ◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold. ◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL. • Algorithmic Exit Protocols (Dynamic Liquidity Analysis) ◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates. ◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust. Multi-Factor Exit Logic (The Tri-Vector System) The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met: • 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown. • 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation. • 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals. 🎨 Chapter 4: Visualization Guide Gradient Oscillator Ribbon The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market. • Visuals: ◦ Cyan/Blue Ribbon: Indicates Bullish Momentum. ◦ Pink/Magenta Ribbon: Indicates Bearish Momentum. • Interpretation: ◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following. ◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity. ◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating. Trend Baseline The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market. • Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish). • Interpretation: Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it. Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends. Entry Signals & Labels Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence. • Visuals: Labeled signals appear above/below specific candles. • Interpretation: These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized. Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital. Dynamic TP/SL Boxes The semi-transparent colored zones drawn via fill() represent the risk management geometry. • Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels. • Function: Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios). SAR + MACD Glow Small glowing shapes appearing above or below candles. • Visuals: Triangle or circle glows near the price bars. • Interpretation: This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup. Support/Resistance Table A small table located at the bottom-right of the chart. • Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support). • Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments. 🖥️ Chapter 5: Dashboard & Operational Guide Integrated Analytics Panel (Dashboard Overview) To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors. A. Intermediate Structure (12H Trend) • Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window. • Interpretation: ◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow. ◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored. ◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor. B. Composite Confluence Score (Signal Confidence) • Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline). • Grading Scale: Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing. Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation. Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone"). C. Statistical Deviation Status (Mean Reversion) • Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA). • Alert States: Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone. Normal: Price is within standard distribution limits, suitable for trend-following entries. D. Volatility Regime Classification • Metric: Compares current ATR against a 100-period historical baseline to categorize the market state. • Regimes: Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events. Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment. High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance. E. Performance Telemetry • Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe. • Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended. Operational Protocols & Signal Decoding Visual Interpretation Standards • Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes. • Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector. • Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure. System Calibration (Settings) • Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias. • Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise. ⚙️ Chapter 6: System Configuration & Alert Guide This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs. 🌐 LANGUAGE SETTINGS (Localization) ◦ Select Language (Default: English): Function: Instantly translates all chart labels, dashboard texts into your preferred language. Supported: English, Korean, Chinese, Spanish ⚡ IMPULSE CORE SETTINGS (Volatility Engine) ◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility. Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react. ◦ Fast Pulse Length (Default: 10): The short-term ATR period. Role: Detects rapid volatility expansion. ◦ Slow Pulse Length (Default: 30): The long-term ATR baseline. Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses. 🎯 TP/SL SETTINGS (Risk Management) ◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation. ◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands. Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs. ◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry. ◦ Use Soft Stop (Close Basis): Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations. 🔊 RIBBON SETTINGS (Momentum Visualization) ◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon. ◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array. ◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon. Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes. 📎 DISPLAY OPTIONS ◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter. ◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles. 📈 TREND BASELINE (Structural Filter) ◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation. ◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline. ◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid. 🧠 SMART EXIT (Dynamic Liquidity) ◦ Use Smart Exit: Enables the momentum exhaustion logic. ◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits. ◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates. 🛡️ TRAILING STOP (Step) ◦ Use Trailing Stop: Activates the step-function trailing mechanism. ◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price. ◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position. 🌀 SAR & MACD SETTINGS (Secondary Confirmation) ◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters. ◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score. ◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals. 🔄 ANTI-GREED LOGIC (Behavioral Bias) ◦ Strict Entry after Win: Enables the negative feedback loop. ◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win. Role: Prevents overtrading and entering at the top of an extended trend. 🌍 HTF FILTER (Multi-Timeframe) ◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals. ◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals). 📉 RSI PEAK & CHOPPINESS ◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected. ◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market. 📐 SLOPE TRIGGER LOGIC ◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity). ◦ Slope Sensitivity (1.5): The angle required to trigger this override. ⛔ FLAT MARKET FILTER (ADX & ATR) ◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend. ◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market). 🔔 Alert Configuration Guide Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events. How to Set Up: Click the "Alert" (Clock) icon in the TradingView toolbar. Select "Impulse Reactor " from the Condition dropdown. Choose one of the specific trigger conditions below: 🚀 Entry Signals (Trend Initiation) Long Entry: Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align). Usage: Use this to enter new Long positions. Short Entry: Trigger: Fires when a confirmed Bearish Setup is detected. Usage: Use this to enter new Short positions. 🎯 Profit Taking (Target Levels) Long TP: Trigger: Fires when price hits the calculated Take Profit level for a Long trade. Usage: Automate partial or full profit taking. Short TP: Trigger: Fires when price hits the calculated Take Profit level for a Short trade. Usage: Automate partial or full profit taking. 🛡️ Defensive Exits (Risk Management) Smart Exit: Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed). Usage: Recommended for tightening stops or closing positions early to preserve gains. Overbought / Oversold: Trigger: Fires when the ribbon extends into extreme zones. Usage: Warning signal to prepare for a potential reversal or pullback. 💡 Secondary Confirmation (Confluence) SAR+MACD Bullish: Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend. Usage: Ideal for Pyramiding (adding to an existing winning position). SAR+MACD Bearish: Trigger: Fires when Parabolic SAR and MACD align bearishly. Usage: Ideal for adding to short positions. ⚠️ Chapter 7: Conclusion & Risk Disclosure Methodological Synthesis Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align. Disclaimer & Risk Warnings ◦ Educational Purpose Only This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. ◦ No Guarantee of Performance Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions. ◦ High-Risk Warning Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades. ◦ Software Limitations The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
Penunjuk Pine Script®
oleh ApexLegion
12
Daily 9 SMA S/R with Std DevThis indicator plots the Daily 9 Simple Moving Average as dynamic support/resistance on any timeframe, with standard deviation bands to measure trend strength and identify overextended price action. ━━━━━━━━━━━━━━━━━━━━━━ HOW IT WORKS ━━━━━━━━━━━━━━━━━━━━━━ The Daily 9 SMA acts as a key level institutions watch. When price is above it, bullish bias. Below it, bearish bias. Simple. Standard deviation bands show you: - 1 StdDev = Strong trend territory - 2 StdDev = Extreme/overextended - potential reversal zone ━━━━━━━━━━━━━━━━━━━━━━ FEATURES ━━━━━━━━━━━━━━━━━━━━━━ - Daily 9 SMA plotted on any timeframe - 1 & 2 Standard Deviation bands - Trend strength scoring (-3 to +3) - Info table showing current values and trend status - Visual signals for MA reclaims, losses, and trend entries ━━━━━━━━━━━━━━━━━━━━━━ ALERTS ━━━━━━━━━━━━━━━━━━━━━━ - Price Reclaims Daily 9 SMA - Price Loses Daily 9 SMA - Enter Strong Bullish Zone (>1 StdDev) - Enter Strong Bearish Zone (<1 StdDev) - Extreme Extension Alerts (2 StdDev) - Bounce/Rejection at MA ━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━ 1. Use on lower timeframes (5m, 15m, 1H) to see Daily levels 2. Look for bounces off the Daily 9 SMA for entries 3. Avoid longs when price loses the MA, avoid shorts when price reclaims 4. Use StdDev bands to gauge when price is overextended ━━━━━━━━━━━━━━━━━━━━━━ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━ - MA Length - Default 9 - StdDev Multipliers - Default 1.0 and 2.0 - StdDev Lookback - Default 20 - Customizable colors Works on any market - Forex, Crypto, Stocks, Futures.
Penunjuk Pine Script®
oleh TSA_TimeSpaceAlgorithm
Hyper Insight MA Strategy [Universal]Hyper Insight MA Strategy ** is a comprehensive trend-following engine designed for traders who require precision and flexibility. Unlike standard indicators that lock you into a single calculation method, this strategy serves as a "Universal Adapter," allowing you to **Mix & Match 13 different Moving Average types** for both the Fast and Slow trend lines independently. Whether you need the smoothness of T3, the responsiveness of HMA, or the classic reliability of SMA, this script enables you to backtest thousands of combinations to find the perfect edge for your specific asset class. --- 🔬 Deep Dive: Calculation Logic of Included MAs This strategy includes 13 distinct calculation methods. Understanding the math behind them will help you choose the right tool for your specific market conditions. #### 1. Standard Averages * **SMA (Simple Moving Average):** The unweighted mean of the previous $n$ data points. * *Logic:* Treats every price point in the period with equal importance. Good for identifying long-term macro trends but reacts slowly to recent volatility. * **WMA (Weighted Moving Average):** A linear weighted average. * *Logic:* Assigns heavier weight to current data linearly (e.g., $1, 2, 3... n$). It reacts faster than SMA but is still relatively smooth. * **SWMA (Symmetrically Weighted Moving Average):** * *Logic:* Uses a fixed-length window (usually 4 bars) with symmetrical weights $ $. It prioritizes the center of the recent data window. #### 2. Exponential & Lag-Reducing Averages * **EMA (Exponential Moving Average):** * *Logic:* Applies an exponential decay weighting factor. Recent prices have significantly more impact on the average than older prices, reducing lag compared to SMA. * **RMA (Running Moving Average):** Also known as Wilder's Smoothing (used in RSI). * *Logic:* It is essentially an EMA but with a slower alpha weight of $1/length$. It provides a very smooth, stable line that filters out noise effectively. * **DEMA (Double Exponential Moving Average):** * *Logic:* Calculated as $2 \times EMA - EMA(EMA)$. By subtracting the "lag" (the smoothed EMA) from the original EMA, DEMA provides a much faster reaction to price changes with less noise than a standard EMA. * **TEMA (Triple Exponential Moving Average):** * *Logic:* Calculated as $3 \times EMA - 3 \times EMA(EMA) + EMA(EMA(EMA))$. This effectively eliminates the lag inherent in single and double EMAs, making it an extremely fast-tracking indicator for scalping. #### 3. Advanced & Adaptive Averages * **HMA (Hull Moving Average):** * *Logic:* A composite formula involving Weighted Moving Averages: ASX:WMA (2 \times Integer(n/2)) - WMA(n)$. The result is then smoothed by a $\sqrt{n}$ WMA. * *Effect:* It eliminates lag almost entirely while managing to improve curve smoothness, solving the traditional trade-off between speed and noise. * **ZLEMA (Zero Lag Exponential Moving Average):** * *Logic:* This calculation attempts to remove lag by modifying the data source before smoothing. It calculates a "lag" value $(length-1)/2$ and applies an EMA to the data: $Source + (Source - Source )$. This creates a projection effect that tracks price tightly. * **T3 (Tillson T3 Moving Average):** * *Logic:* A complex smoothing technique that runs an EMA through a filter multiple times using a "Volume Factor" (set to 0.7 in this script). * *Effect:* It produces a curve that is incredibly smooth and free of "overshoot," making it excellent for filtering out market chop. * **ALMA (Arnaud Legoux Moving Average):** * *Logic:* Uses a Gaussian distribution (bell curve) to assign weights. It allows the user to offset the moving average (moving the peak of the weight) to align it perfectly with the price, balancing smoothness and responsiveness. * **LSMA (Least Squares Moving Average):** * *Logic:* Calculates the endpoint of a Linear Regression line for the lookback period. It essentially guesses where the price "should" be based on the best-fit line of the recent trend. * **VWMA (Volume Weighted Moving Average):** * *Logic:* Weights the closing price by the volume of that bar. * *Effect:* Prices on high volume days pull the MA harder than prices on low volume days. This is excellent for validating true trend strength (i.e., a breakout on high volume will move the VWMA significantly). --- ### 🛠 Features & Settings * **Universal Switching:** Change the `Fast MA` and `Slow MA` types instantly via the settings menu. * **Trend Cloud:** A dynamic background fill (Green/Red) highlights the crossover zone for immediate visual trend identification. * **Strategy Mode:** Built-in Backtesting logic triggers `LONG` entries when Fast MA crosses over Slow MA, and `EXIT` when Fast MA crosses under. ### ⚠️ Disclaimer This script is intended for educational and research purposes. The wide variety of MA combinations can produce vastly different results. Past performance is not indicative of future results. Please use proper risk management.
Strategi Pine Script®
oleh waranyutrkm