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Liquidity Absorption Detector [JOAT]Liquidity Absorption Detector Introduction The Liquidity Absorption Detector (LAD) is an advanced open-source multi-timeframe volume analysis indicator that identifies institutional liquidity absorption zones through VWAP deviation analysis, volume surge detection, and oscillator sigma gap confirmation. This indicator reveals when smart money is actively absorbing liquidity at extreme price deviations from VWAP across 2-minute, 5-minute, and 15-minute timeframes, providing traders with high-probability reversal zones where institutional players are positioning. Unlike basic VWAP indicators that simply plot a mean line, LAD quantifies the statistical deviation from VWAP using three calculation methods (Price Volatility, Z-Score, Spread StDev), detects volume surges relative to historical averages, and confirms absorption through oscillator divergence analysis. The indicator aggregates signals across multiple timeframes to identify zones where 2 or more timeframes show simultaneous absorption, indicating institutional-grade conviction. ETH chart 45m Timeframe with VOL Signals for huge institutional candlesticks Why This Indicator Exists This indicator addresses the challenge of identifying institutional liquidity absorption in real-time. When large players enter positions, they create detectable signatures: extreme VWAP deviations combined with volume surges and oscillator divergences. LAD systematically detects these patterns across multiple timeframes to reveal: Multi-Timeframe VWAP Deviation: Tracks price deviation from VWAP on 2m, 5m, and 15m timeframes using adaptive thresholds Volume Surge Detection: Identifies when volume exceeds historical average by customizable multiplier (default 2.25x) Relative Volume Filtering: Ensures absorption occurs during meaningful volume periods (RVOL >= 0.6) Oscillator Sigma Gap: Confirms absorption through divergence between VWAP deviation and oscillator z-scores 9-Layer Gradient Ribbon: Visualizes absorption intensity through dynamic color-coded ribbon Institutional Dashboard: Displays real-time metrics including order flow, liquidity pressure, absorption strength, and signal quality Each component provides unique intelligence. VWAP deviation shows price extremes, volume surge shows institutional activity, RVOL filters noise, oscillator gap confirms divergence, and timeframe alignment shows conviction. Together, they create a comprehensive institutional absorption detection system. Core Components Explained 1. Multi-Timeframe VWAP Deviation Analysis LAD calculates VWAP deviation across three timeframes using your selected method: f_calculate_vwap_deviation(float price, float vwap_val, string method) => float result = 0.0 if method == "Price Volatility" price_stdev = ta.stdev(price, 20) denominator = price_stdev * 1.5 result := (price - vwap_val) / denominator // Additional methods: Z-Score, Spread StDev result The indicator requests data from 2m, 5m, and 15m timeframes and applies adaptive thresholds based on volatility regime. When deviation exceeds threshold AND volume surge is detected, an absorption signal is generated. 2. Volume Surge & RVOL Filtering Volume surge detection identifies when current volume exceeds the moving average by your specified multiplier: f_volume_surge_detected(int lookback, float multiplier) => float avg_vol = ta.sma(volume, lookback) bool surge = volume > avg_vol * multiplier surge RVOL (Relative Volume) filtering ensures signals occur during meaningful volume periods, eliminating low-liquidity false signals. 3. Oscillator Sigma Gap Confirmation LAD calculates the sigma gap between VWAP deviation and oscillator z-scores (Williams %R and CVD): float gap_willr = math.abs(dev_5m - willr_zscore) float gap_cvd = math.abs(dev_5m - cvd_zscore) float osc_sigma_gap = math.max(gap_willr, gap_cvd) bool gap_confirmed = osc_sigma_gap >= gap_threshold When oscillators diverge from VWAP deviation by 4.5+ sigma, it confirms institutional absorption is occurring despite price extremes. 4. Signal Aggregation & Confluence LAD aggregates signals across all three timeframes: int buy_signals = (signal_2m and dev_2m < 0 ? 1 : 0) + (signal_5m and dev_5m < 0 ? 1 : 0) + (signal_15m and dev_15m < 0 ? 1 : 0) bool absorption_buy_zone = buy_signals >= 2 Absorption zones require 2+ timeframe confirmation, ensuring high-probability setups. Buy zones occur when price is below VWAP with volume surge across multiple timeframes. Sell zones occur when price is above VWAP with volume surge. 5. 9-Layer Gradient Ribbon Visualization The gradient ribbon visualizes absorption intensity through 9 transparent layers between VWAP and the wave level: float wave_ratio = math.min(0.65, math.abs(dev_5m) / threshold_5m) float wave_level = current_vwap + ((close - current_vwap) * wave_ratio) // 9 layers calculated with progressive transparency Ribbon color indicates direction (cyan for buy absorption, magenta for sell absorption) and intensity increases with deviation magnitude. 6. Institutional Dashboard Metrics The dashboard displays four key institutional metrics: Order Flow: CVD z-score measuring buy/sell imbalance (threshold: 1.5) Liquidity Pressure: Average deviation across timeframes vs threshold Absorption Strength: Number of timeframe confirmations (2/3 or 3/3) Signal Quality: Deviation strength relative to threshold as percentage Additional metrics include Oscillator Gap confirmation, RVOL status, and zone classification (Buy Zone, Sell Zone, Neutral). Showing Liquidity Sell Zone about to occur based of confluences: Visual Elements VWAP Line: Dynamic color (cyan for buy zones, magenta for sell zones, neutral otherwise) Threshold Bands: 2m, 5m, and 15m deviation bands showing absorption thresholds 9-Layer Gradient Ribbon: Progressive transparency showing absorption intensity Background Zones: Cyan for buy absorption zones, magenta for sell absorption zones Absorption Labels: "LIQUIDITY ABSORPTION" or "LIQUIDITY DISTRIBUTION" with signal details Extreme Labels: "EXTREME ABSORPTION/DISTRIBUTION" for highest conviction signals Dashboard: Real-time institutional metrics in top-right corner Input Parameters Core Parameters: VWAP Calculation: Session Anchored or Continuous Deviation Method: Price Volatility, Z-Score, or Spread StDev Volume Lookback: Period for volume average (default: 45) Volume Surge Multiplier: Threshold for surge detection (default: 2.25x) RVOL Threshold: Minimum relative volume (default: 0.6) Multi-Timeframe Thresholds: 2m Threshold: Deviation threshold for 2-minute timeframe (default: 8.0) 5m Threshold: Deviation threshold for 5-minute timeframe (default: 8.0) 15m Threshold: Deviation threshold for 15-minute timeframe (default: 4.0) Visualization: Show Absorption Zones: Toggle background coloring Show VWAP Line: Toggle VWAP display Zone Transparency: Adjust background opacity (default: 85%) Ribbon Brightness: Adjust gradient ribbon intensity (-30 to +30) How to Use This Indicator Step 1: Identify Absorption Zones Watch for cyan (buy) or magenta (sell) background zones indicating 2+ timeframe confirmation of absorption. Step 2: Check Dashboard Metrics Verify Order Flow, Liquidity Pressure, and Absorption Strength align with the zone direction. Signal Quality >100% indicates strong deviation. Step 3: Confirm with Oscillator Gap Look for "CONF" status in Osc Gap row, indicating oscillator divergence confirms absorption. Step 4: Monitor RVOL Ensure RVOL shows "HIGH" status, confirming absorption occurs during meaningful volume. Step 5: Use Gradient Ribbon for Intensity Brighter, more opaque ribbon indicates stronger absorption. Ribbon direction shows whether absorption is bullish (cyan) or bearish (magenta). Step 6: Wait for Extreme Signals Highest probability setups occur when "EXTREME ABSORPTION" or "EXTREME DISTRIBUTION" labels appear with 2+ timeframe confirmation. Best Practices Use on liquid instruments (major forex pairs, large-cap stocks, major crypto) for reliable signals Absorption zones work best as reversal signals at price extremes Combine with higher timeframe trend analysis - absorption against trend is lower probability RVOL filter is critical - disable only on very low timeframe charts where volume is erratic Oscillator gap confirmation adds significant edge - wait for "CONF" status when possible Extreme signals (3/3 timeframe confirmation) have highest win rate but occur less frequently Use gradient ribbon intensity to gauge absorption strength - brighter = stronger Dashboard metrics provide context - high Signal Quality (>150%) indicates extreme deviation Settings with all features turned on and with Continous VWAP Calculation instead of default Anchored Calculation & Deviation Method Z score: Indicator Limitations Requires sufficient volume data - may not work well on illiquid instruments or off-market hours Multi-timeframe analysis requires data availability on all requested timeframes VWAP deviation thresholds may need adjustment for different instruments and volatility regimes Absorption zones indicate institutional activity but don't guarantee immediate reversal False signals can occur during strong trending markets where institutions continue adding to positions Oscillator gap confirmation adds lag - early signals may not have gap confirmation yet Gradient ribbon visualization requires sufficient price movement to display properly Dashboard metrics are real-time snapshots and can change rapidly during volatile periods Technical Implementation Built with Pine Script v6 using: Multi-timeframe security requests with proper lookahead settings Three VWAP deviation calculation methods (Price Volatility, Z-Score, Spread StDev) Adaptive threshold system based on volatility regime and percentile analysis Volume surge detection with customizable lookback and multiplier RVOL filtering to eliminate low-liquidity false signals Oscillator sigma gap calculation using Williams %R and CVD z-scores 9-layer gradient ribbon with progressive transparency Real-time institutional dashboard with 8 key metrics Signal aggregation across 2m, 5m, and 15m timeframes The code is fully open-source and can be modified to suit individual trading styles. Originality Statement This indicator is original in its multi-timeframe institutional absorption detection approach. While VWAP deviation and volume analysis are established concepts, this indicator is justified because: It combines VWAP deviation analysis across three timeframes with volume surge detection and RVOL filtering The oscillator sigma gap confirmation provides unique divergence-based validation not found in standard VWAP indicators Adaptive threshold system adjusts for volatility regime using percentile analysis Signal aggregation requires 2+ timeframe confirmation, significantly reducing false signals 9-layer gradient ribbon provides intuitive visualization of absorption intensity Institutional dashboard synthesizes multiple metrics (Order Flow, Liquidity Pressure, Absorption Strength, Signal Quality) into actionable intelligence Integration of CVD z-score and Williams %R z-score for oscillator gap calculation is unique Each component contributes unique information: VWAP deviation shows price extremes, volume surge shows institutional activity, RVOL filters noise, oscillator gap confirms divergence, timeframe alignment shows conviction, and the dashboard synthesizes all metrics. The indicator's value lies in presenting these complementary perspectives simultaneously with a unified absorption detection system. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. 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. -Made with passion by officialjackofalltrades
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officialjackofalltrades의
Liquidity Thermal Map [BigBeluga]🔵 OVERVIEW Liquidity Thermal Map visualizes where the highest traded volume has accumulated across price levels over a fixed lookback period. Instead of plotting classic volume profiles with bars, the indicator builds a horizontal thermal heatmap directly on the chart, highlighting areas of strong and weak liquidity using smooth color gradients. This makes it easy to identify high-interest price zones, volume clusters, and the dominant Point of Control (PoC) at a glance. 🔵 CONCEPTS Price-Level Volume Aggregation — The indicator divides the entire price range of the selected lookback period into fixed horizontal bins. Volume Binning — Each bin accumulates total traded volume whenever price closes near its midpoint. Thermal Gradient Mapping — Volume intensity is translated into a color gradient, forming a continuous liquidity heatmap. Point of Control (PoC) — The price level with the highest accumulated volume is highlighted using a distinct PoC color. 🔵 FEATURES Liquidity Heatmap — Displays horizontal volume concentration directly on the chart background. Fixed Resolution Bins — Uses 30 evenly spaced price levels to maintain a clean and readable structure. Adaptive Lookback Period — Volume is calculated only within the user-defined historical window. Two-Stage Color Gradient — • Low volume → transparent / muted tones • High volume → stronger, warmer colors PoC Highlighting — The most traded price level is emphasized with a dedicated PoC color and volume label. Range-Aware Scaling — Automatically adapts to the highest and lowest prices within the lookback period. 🔵 BUY / SELL LIQUIDITY SCALE Directional Liquidity Breakdown — The vertical scale on the right side summarizes how total traded volume is distributed between bullish and bearish candles within the analyzed range. Buy Liquidity (Green) — Represents the total traded volume during candles that closed higher than they opened. This approximates aggressive buying pressure and shows how much volume has accumulated below the current price. Sell Liquidity (Red) — Represents the total traded volume during candles that closed lower than they opened. This reflects periods where selling pressure dominated and shows how much volume accumulated above the current price. Liquidity Percentage — Each side displays the percentage share of total traded volume. This helps quickly identify which side of the market controlled the majority of activity within the lookback range. Volume Imbalance — The Imbalance value at the top shows the absolute difference between total buy and sell liquidity. A larger imbalance suggests stronger directional dominance from either buyers or sellers. Interactive Hover Details — Hovering over the liquidity bars reveals a tooltip showing the exact accumulated volume for that section (for example total liquidity below the current price). This allows traders to quickly inspect how much volume has been concentrated on each side of the market. Visual Pressure Gauge — The vertical red/green bar acts as a quick visual gauge of market pressure, allowing traders to instantly see whether buyers or sellers dominate liquidity within the selected range. PoC Highlighting — The most traded price level is emphasized with a dedicated PoC color and volume label. 🔵 HOW TO USE Identify Liquidity Clusters — Bright or dense zones indicate prices where significant trading activity occurred. Support & Resistance Context — High-volume zones often act as reaction areas for price. PoC Tracking — The PoC shows where the market spent the most time and volume. Breakout Awareness — Moves away from dense liquidity areas may signal expansion into lower-volume zones. Contextual Analysis — Use the heatmap as a background liquidity reference alongside trend or structure tools. 🔵 VISUAL LOGIC Cooler Colors — Lower volume participation. Warmer Colors — Higher volume concentration. PoC Label — Displays the exact volume value of the strongest liquidity level. 🔵 CONCLUSION Liquidity Thermal Map provides a clean, intuitive way to visualize where liquidity truly exists across price. By transforming raw volume data into a continuous thermal layer, it helps traders quickly locate dominant trading zones, identify high-interest price levels, and better understand how volume is distributed within the market.
Pine Script® 인디케이터
BigBeluga의
6
Adaptive Bollinger Bands [by Oberlunar]Adaptive Bollinger Bands by Oberlunar extends a classical Bollinger-style framework by building structured envelopes on highs and lows and then interpreting them through flow and regime context rather than through band touches alone. The script combines two moving-average bases, adaptive volume-distribution logic above and below price, a normalized TRIX component, and a multi-timeframe directional filter to distinguish between mean-reversion conditions and breakout conditions in a more organized way. Its original value is not in any single component taken in isolation, but in the way these elements are fused into one coherent visual system. The bands define the price structure, the heatmap and tape show where directional pressure is stronger, the regime engine helps separate quieter rejection environments from more persistent expansion, and the support, resistance, and compression areas help mark zones where market behavior becomes more interpretable. The indicator is designed to be read directly on standard charts. It does not use future-looking logic, and higher-timeframe requests are made with no lookahead. It is meant as a decision-support tool for chart reading, not as a promise of performance or as a substitute for risk management. A common way to use the script is to observe how price behaves when it reaches the outer parts of the envelope and then compare that location with the active regime, the side-specific flow, and the multi-timeframe bias. In quieter conditions, signals near the edge of the channel can be interpreted as possible rejection areas. In stronger directional conditions, the same area can instead be read as part of a continuation or breakout sequence. The heatmap and tape help show whether pressure is building above or below price, while the marked zones can help the user keep track of relevant local structure. Enjoy by Oberlunar ✦👁
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oberlunar_tr의
Regime Classification System [JOAT]Regime Classification System Introduction The Regime Classification System is an advanced open-source market regime detection indicator that combines smooth range filtering, multi-timeframe trend analysis (10 timeframes), impulse detection, Chandelier Exit integration, and regime strength scoring into a comprehensive market state classification system. This indicator helps traders identify whether the market is trending, ranging, volatile, or transitioning between states, enabling them to adapt their trading strategies to current market conditions. Unlike basic trend indicators that simply show up or down, this system classifies markets into distinct regimes (Trend Bull, Trend Bear, Volatile Bull, Volatile Bear, High Vol Range, Low Vol Range, Flat) and provides confidence metrics, regime strength scores, multi-timeframe alignment analysis, and transition warnings. The indicator is designed for traders who understand that different market conditions require different trading approaches and that regime identification is critical for consistent profitability. Why This Indicator Exists This indicator addresses a fundamental challenge in trading: adapting strategy to market conditions. A trend-following strategy that works in trending markets fails in ranging markets. A mean-reversion strategy that works in ranging markets fails in trending markets. By systematically classifying market regimes, this indicator enables traders to: Identify Current Regime: Classify market as trending, ranging, volatile, or flat with quantitative metrics Measure Regime Strength: Score regime quality (0-100%) based on trend clarity, volatility consistency, impulse confirmation, and duration Detect Regime Transitions: Warn when market is likely changing character before it becomes obvious Analyze Multi-Timeframe Alignment: Confirm regime across 10 timeframes (1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, Daily, Weekly) Calculate Regime Confidence: Provide confidence score combining regime strength, MTF alignment, and transition probability Integrate Dynamic Stops: Use Chandelier Exit for adaptive stop-loss placement based on volatility Each component provides different regime intelligence. Range filtering shows directional movement, trend strength shows conviction, volatility ratio shows market character, impulse detection shows momentum, MTF alignment shows multi-timeframe conviction, and Chandelier Exit provides dynamic risk management. Together, they create a comprehensive regime classification system. Core Components Explained 1. Smooth Range Filter (from RealGains Algorithm) The range filter uses a sophisticated smoothing algorithm to identify directional movement: // Smooth range calculation smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m // Range filter rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r The filter creates upper and lower bands based on smoothed range. When price breaks above the filter, it signals upward movement. When price breaks below, it signals downward movement. The filter adapts to volatility, widening in volatile conditions and tightening in calm conditions. Filter direction is tracked using consecutive bar counts: upward = filt > filt ? nz(upward ) + 1 : 0 downward = filt < filt ? nz(downward ) + 1 : 0 Longer consecutive counts indicate stronger directional conviction. 2. Impulse Detection (SMMA and ZLEMA) The indicator uses Smoothed Moving Average (SMMA) and Zero-Lag EMA (ZLEMA) to detect impulse moves: // SMMA calculation calc_smma(src, len) => var float smma = na smma := na(smma) ? ta.sma(src, len) : (smma * (len - 1) + src) / len // ZLEMA calculation calc_zlema(src, len) => ema1 = ta.ema(src, len) ema2 = ta.ema(ema1, len) d = ema1 - ema2 ema1 + d // Impulse detection hi = calc_smma(high, 34) lo = calc_smma(low, 34) mi = calc_zlema(hlc3, 34) md = mi > hi ? mi - hi : mi < lo ? mi - lo : 0 is_impulse = md != 0 When impulse is detected, the market has momentum. When impulse is absent (flat), the market lacks directional conviction. This helps filter out choppy, directionless periods. 3. Trend Strength Calculation (ADX-based) The indicator calculates trend strength using Directional Movement Index (DMI) and Average Directional Index (ADX): calcTrendStrength(int length) => float plusDM = high - high > low - low ? math.max(high - high , 0) : 0 float minusDM = low - low > high - high ? math.max(low - low, 0) : 0 float plusDI = atr > 0 ? ta.sma(plusDM, length) / atr * 100 : 0 float minusDI = atr > 0 ? ta.sma(minusDM, length) / atr * 100 : 0 float dx = math.abs(plusDI - minusDI) / (plusDI + minusDI) * 100 float adx = ta.sma(dx, length) float trendStrength = adx / 100 bool bullish = plusDI > minusDI Trend strength ranges from 0 (no trend) to 1 (strong trend). The threshold (default: 0.6) determines when a market is classified as trending vs ranging. 4. Volatility Regime Classification Volatility regime is determined by comparing current ATR to average ATR: calcVolatilityRegime(int length) => float atr = ta.atr(length) float atrMA = ta.sma(atr, length) float volRatio = atrMA > 0 ? atr / atrMA : 1.0 Volatility ratio interpretation: volRatio > 1.5: High volatility (default threshold) volRatio 0.67-1.5: Normal volatility volRatio < 0.67: Low volatility High volatility regimes require wider stops and larger profit targets. Low volatility regimes allow tighter stops and smaller targets. 5. Regime Classification Logic The indicator combines trend strength, volatility ratio, and impulse detection to classify regimes: classifyRegime(float trendStr, bool isBullish, float volRatio, float threshold, float volThresh, bool impulse) => if not impulse and catchFlat regime := "Flat" else if trendStr >= threshold if volRatio > volThresh regime := isBullish ? "Volatile Bull" : "Volatile Bear" else regime := isBullish ? "Trend Bull" : "Trend Bear" else if volRatio > volThresh regime := "High Vol Range" else regime := "Low Vol Range" Regime classifications: Trend Bull: Strong uptrend with normal volatility - trend-following strategies Trend Bear: Strong downtrend with normal volatility - trend-following strategies Volatile Bull: Uptrend with high volatility - wider stops, larger targets Volatile Bear: Downtrend with high volatility - wider stops, larger targets High Vol Range: No clear trend with high volatility - avoid or use wide ranges Low Vol Range: No clear trend with low volatility - mean-reversion strategies Flat: No impulse detected - avoid trading 6. Regime Strength Scoring (0-100%) Regime strength is calculated using four components: calcRegimeStrength(float trendStr, float volRatio, bool impulse, int barsInRegime) => // Component 1: Trend clarity (40 points) float trendScore = trendStr * 40 // Component 2: Volatility consistency (20 points) float volScore = volRatio < volThreshold ? 20 : math.max(0, 20 - (volRatio - volThreshold) * 10) // Component 3: Impulse confirmation (20 points) float impulseScore = impulse ? 20 : 0 // Component 4: Regime duration (20 points) float durationScore = math.min(barsInRegime / 50.0, 1.0) * 20 float totalScore = trendScore + volScore + impulseScore + durationScore Regime strength interpretation: > 70%: Excellent regime - high confidence trades 40-70%: Good regime - moderate confidence trades < 40%: Weak regime - low confidence or avoid 7. Regime Transition Detection The indicator warns when regime is likely changing: detectRegimeTransition(float trendStr, float volRatio, bool impulse) => bool weakTrend = trendStr < trendThreshold * 0.8 bool volSpike = volRatio > volThreshold * 1.5 bool lostImpulse = not impulse and catchFlat float transitionProb = 0.0 if weakTrend transitionProb += 40 if volSpike transitionProb += 30 if lostImpulse transitionProb += 30 bool inTransition = transitionProb >= 50 Transition warnings help traders exit positions before regime changes become obvious in price. 8. Multi-Timeframe Alignment (10 Timeframes) The indicator analyzes regime across 10 timeframes: = request.security(syminfo.tickerid, '1', get_trend_status()) = request.security(syminfo.tickerid, '3', get_trend_status()) = request.security(syminfo.tickerid, '5', get_trend_status()) = request.security(syminfo.tickerid, '15', get_trend_status()) = request.security(syminfo.tickerid, '30', get_trend_status()) = request.security(syminfo.tickerid, '60', get_trend_status()) = request.security(syminfo.tickerid, '120', get_trend_status()) = request.security(syminfo.tickerid, '240', get_trend_status()) = request.security(syminfo.tickerid, 'D', get_trend_status()) = request.security(syminfo.tickerid, 'W', get_trend_status()) MTF alignment score is calculated with weighted timeframes (higher timeframes have more weight): calcMTFAlignment(string t1m, string t5m, string t15m, string t1h, string t4h, string tD) => int bullCount = 0 int bearCount = 0 // Count each timeframe with weights // 1m, 5m, 15m: weight 1 // 1h: weight 2 // 4h: weight 3 // Daily: weight 4 float alignmentScore = (bullCount - bearCount) / totalCount * 100 Alignment interpretation: > 60: Strong Bull alignment 30-60: Moderate Bull alignment -30 to 30: Mixed alignment -60 to -30: Moderate Bear alignment < -60: Strong Bear alignment 9. Regime Confidence Calculation Overall confidence combines regime strength, MTF alignment, and transition status: calcRegimeConfidence(float regimeStrength, float alignmentScore, bool inTransition) => float confidence = regimeStrength // Adjust for alignment float alignmentBonus = math.abs(alignmentScore) / 100 * 20 confidence += alignmentBonus // Penalize if in transition if inTransition confidence *= 0.5 confidence := math.min(confidence, 100) Confidence > 70% indicates high-quality regime suitable for aggressive trading. Confidence < 40% suggests caution or avoiding trades. 10. Chandelier Exit Integration The indicator includes Chandelier Exit for dynamic stop-loss placement: atrCE = ceMult * ta.atr(ceLength) longStop = (ceUseClose ? ta.highest(close, ceLength) : ta.highest(ceLength)) - atrCE shortStop = (ceUseClose ? ta.lowest(close, ceLength) : ta.lowest(ceLength)) + atrCE Chandelier Exit adapts to volatility, providing wider stops in volatile regimes and tighter stops in calm regimes. The stops trail price, locking in profits as trends develop. Visual Elements Range Filter Line: Main line showing directional filter with color-coded regime (green = bull, red = bear, cyan = neutral) Target Bands: Upper and lower bands showing filter range with gradient fills Regime Strength Zones: Gradient fills showing regime strength intensity Volatility Expansion Zones: Circles marking high volatility periods Chandelier Exit Lines: Dynamic stop-loss lines (green for long stops, red for short stops) Regime Value Histogram: Histogram showing regime direction and strength (-3 to +3) Regime Background: Subtle background coloring based on current regime Regime Change Markers: Circles marking regime transitions Transition Warnings: X-crosses marking potential regime changes Regime Signals: Triangle markers for strong bull/bear regime confirmations MTF Table: Comprehensive table showing all 10 timeframes with trend status Statistics Panel: Additional metrics including regime strength, duration, alignment, confidence, and transition status Input Parameters Range Filter Settings: Sampling Period: Period for range calculation (default: 100, range: 1+) Range Multiplier: Multiplier for range width (default: 3.0, range: 0.1+) Regime Detection: Trend Threshold: Minimum trend strength for trending classification (default: 0.6, range: 0.3-0.9) Volatility Threshold: Multiplier for high volatility classification (default: 1.5, range: 1.0-3.0) Regime Strength Period: Period for strength calculations (default: 20, range: 5-100) Show Regime Signals: Toggle regime confirmation markers (default: enabled) Chandelier Exit: Chandelier ATR Period: Period for ATR calculation (default: 22, range: 1+) Chandelier ATR Multiplier: Multiplier for stop distance (default: 3.0, range: 0.1+) Use Close for Extremums: Use close vs high/low for calculations (default: enabled) Impulse Detection: Try to Catch Flat: Enable flat regime detection (default: enabled) Multi-Timeframe Table: Show MTF Table: Toggle timeframe table (default: enabled) Table Position: Dashboard location (Top Right/Top Left/Bottom Right/Bottom Left/Middle Right) Show Regime Statistics: Toggle additional statistics panel (default: enabled) Colors: All colors are fully customizable including trend bull/bear, mid trend, range, high volatility, text, transition, and excellent regime colors. How to Use This Indicator Step 1: Identify Current Regime Check the regime classification (Trend Bull, Trend Bear, Volatile Bull, Volatile Bear, High Vol Range, Low Vol Range, Flat). This determines your trading approach. Step 2: Check Regime Strength Look at regime strength percentage. > 70% indicates high-quality regime suitable for aggressive trading. < 40% suggests caution. Step 3: Verify MTF Alignment Check the MTF table. Strong alignment (> 60) across multiple timeframes confirms regime conviction. Mixed alignment suggests caution. Step 4: Monitor Regime Confidence Overall confidence score combines strength, alignment, and transition status. > 70% confidence indicates high-quality trading conditions. Step 5: Watch for Transition Warnings X-cross markers warn of potential regime changes. Consider tightening stops or exiting positions when transition probability is high. Step 6: Use Chandelier Exit for Stops The Chandelier Exit lines provide dynamic stop-loss levels that adapt to volatility. Trail stops as trends develop. Step 7: Adapt Strategy to Regime Trend Bull/Bear: Use trend-following strategies, ride trends, trail stops Volatile Bull/Bear: Use wider stops, larger targets, reduce position size High Vol Range: Avoid or use very wide ranges Low Vol Range: Use mean-reversion strategies, fade extremes Flat: Avoid trading, wait for impulse to return Best Practices Use on 15-minute to 4-hour timeframes for optimal regime clarity Trade with the regime, not against it - trend-following in trending regimes, mean-reversion in ranging regimes Higher regime strength = higher confidence = larger position sizes MTF alignment is critical - don't trade against higher timeframe regimes Transition warnings are early signals - tighten stops or exit before regime change becomes obvious Chandelier Exit provides objective stop-loss levels - use them Regime duration matters - longer regimes are more reliable Confidence > 70% = aggressive trading, confidence < 40% = defensive or avoid Flat regimes lack directional conviction - patience is key Volatile regimes require wider stops and larger targets - adjust risk accordingly Indicator Limitations Regime classification is based on recent data - sudden news events can invalidate regimes instantly Transition warnings are probabilistic, not guaranteed - regimes can persist longer than expected MTF alignment requires sufficient data on all timeframes - may not work on newly listed instruments Range filter is adaptive but can lag during rapid regime changes Impulse detection can produce false flat signals during consolidation within trends Regime strength scoring is relative to recent history - not absolute Chandelier Exit can be stopped out during volatile whipsaws The indicator identifies regimes but doesn't predict when they will end Works best on liquid instruments with clear trending and ranging periods Regime confidence is a guide, not a guarantee - high confidence regimes can still fail Technical Implementation Built with Pine Script v6 using: Smooth range filter with adaptive volatility adjustment SMMA and ZLEMA calculations for impulse detection ADX-based trend strength calculations ATR-based volatility regime classification Multi-component regime strength scoring Transition probability calculations Multi-timeframe security requests (10 timeframes) Weighted MTF alignment scoring Regime confidence calculations Chandelier Exit with trailing stops Dynamic table with 17 rows showing all timeframes and statistics Gradient fills and color-coded visualizations The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its comprehensive regime classification approach. While individual components (range filter, ADX, Chandelier Exit) are established concepts, this indicator is justified because: It synthesizes six distinct regime analysis methodologies into a unified classification system Regime strength scoring combines trend clarity, volatility consistency, impulse confirmation, and duration Transition detection provides early warnings before regime changes become obvious MTF alignment analysis across 10 timeframes with weighted scoring Regime confidence calculation integrates strength, alignment, and transition probability Integration of Chandelier Exit provides regime-adaptive risk management Comprehensive statistics panel shows regime quality metrics in real-time Visual regime signals help traders identify high-quality trading conditions Each component contributes unique regime intelligence: range filter shows direction, trend strength shows conviction, volatility ratio shows character, impulse shows momentum, MTF alignment shows multi-timeframe conviction, transition detection shows regime changes, and Chandelier Exit provides adaptive stops. The indicator's value lies in presenting these complementary perspectives simultaneously with quantitative regime classification and confidence scoring. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Regime classification is a tool for understanding market conditions, not a crystal ball for predicting future price movement. High regime strength, strong MTF alignment, and high confidence scores do not guarantee profitable trades. Past regime patterns do not guarantee future regime patterns. Market conditions change, and strategies that worked historically may not work in the future. The metrics displayed are mathematical calculations based on current market data, not predictions of future price movement. Transition warnings are probabilistic, not guaranteed. Chandelier Exit stops can be hit during volatile whipsaws. Users must conduct their own analysis and risk assessment before making trading decisions. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® 인디케이터
officialjackofalltrades의
Volume Divergence Reversal Signals [AlgoAlpha]🟠 OVERVIEW This script identifies potential trend reversals by analyzing divergences between price action and normalized volume. It transforms raw volume into a 0–100 scale to make activity levels comparable across different market regimes. By detecting instances where price reaches new extremes but volume fails to follow, the script highlights "exhaustion" or "effort without result" scenarios. It also integrates Volume Delta data to provide granular details on net buying or selling pressure at the exact moment a divergence is confirmed, offering a deeper look into the internal mechanics of a reversal. 🟠 CONCEPTS The core logic relies on the relationship between price discovery and participation. First, volume is normalized against a long-term lookback to create a standardized baseline. The script then monitors "pivots" in this normalized volume. A Bullish Divergence occurs when price makes a Lower Low while volume creates a Higher Low, suggesting that selling pressure is drying up despite the price drop. A Bearish Divergence occurs when price makes a Higher High while volume makes a Lower High, indicating a lack of buying conviction at new peaks. While price defines the trend structure , the volume pivots provide the momentum context required to signal a change in direction. 🟠 FEATURES Automatic detection of bullish and bearish volume divergences. Integrated Volume Delta (CVD or per-bar) displayed directly on signal labels. Real-time alerts for confirmed divergence patterns. 🟠 USAGE Setup : Add the script to your chart and ensure the Normalization Length is large enough (default 1000) to capture a representative sample of volume. For higher precision, the Volume Delta Lower Timeframe should be set to a lower interval than your current chart. Read the chart : Look for the "▲" (Bullish) and "▼" (Bearish) labels. When a signal appears, check the label text; it shows the total volume and the net delta (buy vs. sell) for that specific pivot. A bullish divergence with a positive (+) delta suggests aggressive buyers are stepping in at the low. Settings that matter : The Pivot Lookback Right determines the confirmation delay; a higher value makes signals more reliable but "lags" the entry. The Max Bars Between Pivots controls how far apart the two price/volume points can be; decreasing this focuses the script on immediate, sharp reversals rather than broad cycles.
Pine Script® 인디케이터
AlgoAlpha의
7
Aura Sentiment & Risk Flow [Pineify]Aura Sentiment & Risk Flow - Advanced Market Sentiment & Volatility Analyzer A powerful dual-panel oscillator combining market sentiment analysis with volatility-based risk assessment for enhanced trading decisions. The Aura Sentiment & Risk Flow indicator provides traders with a comprehensive view of market momentum and risk conditions by combining two proven technical concepts: RSI-based sentiment analysis and Chandelier Exit volatility measurements. This unique combination helps traders identify potential trend reversals, momentum shifts, and high-risk market conditions in real-time. Sentiment Aura Histogram with dynamic gradient coloring Chandelier Exit-based Risk Oscillator Real-time Buy/Sell signal generation Extreme risk zone detection Customizable color schemes and parameters Built-in TradingView alerts The Aura Sentiment & Risk Flow indicator represents an innovative approach to market analysis by merging two distinct but complementary technical concepts. This script is designed for traders who want to understand not just market direction, but also the underlying risk environment that accompanies price movements. How It Works The indicator operates on two parallel calculation paths that work together to provide comprehensive market analysis: Sentiment Calculation (RSI-Based Momentum) The script calculates market sentiment using a modified RSI (Relative Strength Index) approach: - Raw RSI is computed using the standard 14-period setting (customizable) - RSI values are normalized to a -50 to +50 scale for better visual centering around the zero line - Additional smoothing is applied using Simple Moving Average to reduce noise and false signals - Positive values indicate bullish sentiment; negative values indicate bearish sentiment Risk Calculation (Chandelier Exit Logic) Risk assessment is derived from the Chandelier Exit concept: - ATR (Average True Range) measures current market volatility - Highest High and Lowest Low over the lookback period define the trading range - Chandelier Long and Short levels are calculated using ATR multiplier - Risk oscillator normalizes current price position relative to these Chandelier levels - This creates a dynamic risk measurement that expands and contracts with volatility Trading Ideas and Insights Trend Confirmation : When sentiment histogram is consistently above zero and rising, it confirms bullish momentum. Conversely, sustained negative values confirm bearish trends. Momentum Divergence : Watch for situations where price makes new highs but sentiment histogram fails to confirm - this could signal weakening momentum and potential reversal. Risk Awareness : The background color change when sentiment reaches extreme levels (above 40 or below -40) serves as a warning that the market may be overbought or oversold, potentially leading to a correction. Signal Trading : The Buy (BUY) and Sell (SELL) labels appear when the sentiment oscillator crosses the zero line, providing clear entry and exit points. How Multiple Indicators Work Together This script combines RSI and Chandelier Exit concepts in a synergistic manner: RSI Component : Provides the foundation for sentiment analysis by measuring the magnitude and speed of price changes. The normalization to -50/+50 scale makes it intuitive for traders to identify bullish vs bearish territory. Chandelier Exit Component : Adds a risk dimension by incorporating volatility. The ATR-based calculation ensures that risk levels automatically adjust to current market conditions - expanding during volatile periods and contracting during calm markets. Visual Integration : The dynamic gradient coloring uses the sentiment values to create an "aura" effect, making it easy to visually assess market conditions at a glance. White fading indicates momentum weakening, while full colors show strong momentum. Unique Aspects Dual-Panel Philosophy : Unlike simple momentum oscillators, this indicator provides both directional sentiment AND risk assessment in a single view. Dynamic Risk Awareness : The extreme zone detection automatically highlights when sentiment reaches potentially unsustainable levels, helping traders avoid buying at tops or selling at bottoms. Noise Filtering : The smoothing parameters help reduce whipsaw signals while maintaining responsiveness to genuine trend changes. Professional Visual Design : The gradient histogram and signal line create a professional, easy-to-read display suitable for any chart timeframe. How to Use Timeframe Flexibility : Works on any timeframe from 1-minute to monthly charts. Higher timeframes generally produce more reliable signals. Best Practices : - Use in conjunction with price action analysis - Confirm signals with support/resistance levels - Consider the overall market context (bull vs bear market) - Combine with volume analysis for additional confirmation Signal Interpretation : - BUY signal : Sentiment crosses above zero = bullish momentum emerging - SELL signal : Sentiment crosses below zero = bearish momentum emerging - Extreme zones : Sentiment exceeds ±40 = potential reversal risk Customization Options Sentiment Length (RSI Period) : Default is 14. Lower values make the indicator more sensitive; higher values provide smoother, more reliable signals. Smoothing Factor : Default is 3. Controls the amount of smoothing applied to reduce noise. Risk Lookback (ATR Period) : Default is 22. Defines the period for calculating highest high and lowest low. Risk Multiplier : Default is 3.0. Adjusts the Chandelier Exit sensitivity. Higher values create wider risk bands. Color Customization : Choose custom bullish, bearish, and neutral colors to match your trading platform theme. Conclusion The Aura Sentiment & Risk Flow indicator offers traders a sophisticated yet intuitive tool for market analysis. By combining proven RSI momentum concepts with Chandelier Exit volatility measurements, it provides actionable insights into both market direction and risk conditions. Whether you are a day trader looking for quick entries or a swing trader seeking trend confirmation, this indicator adapts to your trading style through its customizable parameters. Remember: No indicator guarantees profits. Always use proper risk management and combine multiple analytical methods for best results.
Pine Script® 인디케이터
Pineify의
2
Orderflow Detector [OmegaTools]Orderflow Detector is a multi-layered market microstructure and intrabar signal analysis indicator designed to highlight price-action events that are commonly associated with liquidity interaction, aggressive participation, and absorption behavior. It is built for traders who want a compact but information-dense framework to detect potential orderflow footprints directly on the chart while also monitoring a normalized delta-based resistance metric in a separate panel. The indicator combines event classification, lower-timeframe aggregation, directional volume imbalance analysis, and percentile-based contextual filters to provide a structured read of intraday activity without requiring a full depth-of-market interface. The software is designed around the idea that certain recurring price and volume patterns can act as practical proxies for underlying orderflow dynamics. Instead of attempting to reconstruct the full order book, it detects and labels specific bar formations and liquidity interactions that often reflect phenomena such as hidden liquidity execution, stop runs, and passive absorption. These detections are then enhanced by lower-timeframe sampling and by a delta-versus-range efficiency model that classifies bars according to whether price moved with unusually low or unusually high resistance. At the core of the indicator is a three-pattern detection engine that identifies Iceberg, Sweep, and Absorption conditions. Each signal is classified directionally and displayed directly on the chart with distinct symbols and vertical offsets, allowing the trader to quickly distinguish overlapping events and read them in context with the surrounding structure. The indicator can display all pattern families simultaneously or focus on one category at a time, which makes it suitable both for broad discretionary analysis and for targeted signal study during strategy development. The Iceberg detection logic is designed to identify potential hidden-liquidity style behavior around repeated highs or lows combined with strong participation and breakout/return dynamics. The script evaluates repeated local extremes, elevated volume relative to recent conditions, and short-term structural expansion beyond recent highs or lows. It then classifies the event according to whether the behavior is more consistent with buying pressure overcoming sell-side resistance or selling pressure overcoming buy-side support. This creates an interpretable label that can be used to spot possible areas where latent liquidity was present and subsequently absorbed or overwhelmed. The Sweep detection logic focuses on stop-run and reclaim behavior. It looks for price briefly moving beyond a recent local extreme and then closing back within the prior range under exceptionally strong volume conditions. This is intended to capture the kind of price action often associated with liquidity grabs, failed breakouts, and aggressive trapping dynamics. Direction is assigned based on whether the sweep occurs below recent lows with a recovery back above the broken area or above recent highs with a rejection back below the broken area. In practical use, these signals can be helpful for identifying potential exhaustion points, reversal zones, or confirmation events when used alongside broader trend and structure analysis. The Absorption detection logic seeks to identify bars where participation is elevated but realized range remains relatively compressed, which can indicate passive liquidity absorbing aggressive flow. The script compares current volume and true range behavior to recent averages, then combines this with wick asymmetry and candle direction to infer whether absorption is more likely occurring on the offer side or bid side. This produces directional absorption labels that can help traders recognize situations where apparent aggression is not translating into efficient price movement, a condition that often precedes either continuation after re-accumulation or reversal after failed initiative. A major strength of the indicator is its use of lower-timeframe aggregation through a configurable resolution input. Instead of relying exclusively on the chart’s current timeframe, the script evaluates the core event conditions on a selected lower timeframe and aggregates the resulting directional detections into the active bar. This allows the indicator to preserve intrabar signal sensitivity while remaining visually usable on higher chart timeframes. In practice, this means a trader can analyze a higher timeframe chart while still receiving information about micro-events that occurred inside each bar, improving context without cluttering the chart with excessive detail. In addition to event labeling, the software computes a lower-timeframe directional volume imbalance model by separately aggregating up-bar volume and down-bar volume. From this it derives a delta estimate, then normalizes it using a rolling standard-deviation framework to produce a standardized delta intensity metric. This metric is displayed as a histogram and serves as a quantitative measure of how unusual the current directional participation is relative to recent conditions. The result is a more informative volume read than raw volume alone, since it incorporates directional pressure and statistical normalization. The indicator goes further by combining normalized delta intensity with a custom range-efficiency model to estimate a resistance metric. This metric is designed to reflect how much directional participation was required to produce the observed bar movement. Conceptually, it provides a practical approximation of whether price traveled easily or encountered significant resistance. When the metric is unusually low, the bar may represent movement with relatively little resistance, while unusually high values may indicate strong opposition to directional flow. This is then contextualized using percentile thresholds over a rolling window, allowing the script to identify statistically extreme low-resistance and high-resistance conditions in a dynamic, instrument-adaptive manner. The percentile-based box overlay system visually marks these resistance extremes directly on price bars. Bars classified as low-resistance can be extended forward with shaded boxes to highlight potential paths of least resistance, while high-resistance bars can be marked as zones where market opposition was comparatively strong. The user can choose to display only low-resistance zones, only high-resistance zones, both, or none. This feature is particularly useful for discretionary traders who want a visual map of bars that may act as reference zones for continuation, reaction, or retest behavior in subsequent price action. The software includes a flexible visual configuration system that allows traders to tailor the display to their workflow. Users can choose which event families to display, whether to project low- or high-resistance boxes, what lower timeframe to use for intrabar aggregation, and which colors to assign to bullish and bearish detections. The result is an indicator that can be configured for minimalist chart annotation or more comprehensive orderflow-style monitoring depending on the user’s objectives. The indicator’s chart annotations are intentionally separated by type and offset to preserve readability when multiple signals occur on the same bar. Iceberg events, Sweep events, and Absorption events each use distinct visual markers and are placed at different distances from the bar so that they remain legible even in high-activity conditions. This design is especially useful during fast intraday sessions where several market microstructure events may cluster in a short period. The delta histogram panel complements the chart annotations by giving the trader a continuous quantitative read of participation intensity. The histogram is color-coded according to directional delta and normalized magnitude, making it easy to identify whether a bar’s directional participation is weak, moderate, or extreme. Reference thresholds are displayed to help frame interpretation and support rule-based usage in discretionary or semi-systematic trading processes. Orderflow Detector is intended for advanced chart users, intraday discretionary traders, and system developers who want a practical bridge between pure price action and more specialized orderflow analysis. It is especially useful in environments where access to full order book tools is limited or where a trader wants a portable, chart-native framework for identifying liquidity interactions and directional participation anomalies. It can be used to support breakout confirmation, trap detection, reversal timing, trend continuation analysis, and contextual filtering for execution decisions. As with any analytical indicator, this software should be used as part of a broader decision-making framework that includes market structure, risk management, and trade management discipline. The signals and resistance classifications are probabilistic interpretations of price and volume behavior, not direct observations of all market participants. When used correctly and in context, the indicator provides a robust and professional toolset for detecting and visualizing actionable orderflow-related behavior in real time on TradingView. - Eros
Pine Script® 인디케이터
OmegaTools의
Cascade Trend Navigator [JOAT]Cascade Trend Navigator Introduction The Cascade Trend Navigator is an open-source institutional-grade multi-timeframe trend and flow system that combines dynamic support/resistance zones, volume profile analysis, and liquidity detection into a unified overlay indicator. This comprehensive system integrates multiple proven methodologies to identify high-probability trend continuation and reversal zones where institutional and retail liquidity converge. The indicator is designed for traders who understand that successful trend following requires more than simple moving average crossovers. By synthesizing adaptive moving averages, dynamic support/resistance zones, volume profile analysis, and liquidity pool detection, this tool helps identify structural market inflection points with institutional-grade precision. Why This Integration Exists This indicator combines four distinct analytical frameworks that complement each other: Adaptive Moving Average System: Uses Hull, TEMA, DEMA, ZEMA, and VWMA calculations for superior trend identification with reduced lag Dynamic Support/Resistance Zones: Calculates real-time zones using Hull Moving Averages and ATR-based deviation bands Volume Profile Analysis: Identifies Point of Control (POC) and high-volume price levels where institutional activity concentrates Liquidity Pool Detection: Tracks equal highs/lows, swing points, and liquidity zones where stop hunts typically occur Each component addresses different aspects of market structure. The adaptive MA system provides trend direction with minimal lag, dynamic zones reveal real-time support/resistance levels, volume profile shows where institutions are most active, and liquidity detection identifies areas where price reversals are likely. Together, they create a multi-dimensional view of market flow and structure. Core Components Explained 1. Advanced Moving Average Engine The indicator offers seven different moving average types, each optimized for specific market conditions: Hull MA (HMA): wma(2 * wma(src, length/2) - wma(src, length), sqrt(length)) TEMA: 3 * ema1 - 3 * ema2 + ema3 (Triple smoothed) DEMA: 2 * ema1 - ema2 (Double smoothed) ZEMA: Zero-lag EMA with lag compensation VWMA: Volume-weighted for institutional flow tracking The system uses three MA periods: Fast (default 20), Slow (default 50), and Trend (default 200). Trend direction is determined when Fast MA > Slow MA and price > Trend MA for bullish conditions, with the inverse for bearish conditions. 2. Dynamic Support/Resistance Zone System Unlike static pivot levels, these zones adapt to current market volatility: Resistance Zone: HMA(high, length) + (ATR * deviation) to HMA(high, length) Support Zone: HMA(low, length) to HMA(low, length) - (ATR * deviation) The zones automatically adjust width based on ATR, making them more relevant during high volatility periods and tighter during consolidation. This adaptive nature provides more accurate entry and exit levels compared to fixed percentage-based zones. 3. Volume Profile Integration The indicator calculates a real-time volume profile over a specified lookback period: - Divides the price range into configurable bins (default 20) - Accumulates volume for each price level - Identifies Point of Control (POC) - the price level with highest volume - Displays POC as a dynamic level where institutional activity is concentrated This helps traders understand where the majority of trading activity occurred and where price is likely to find support or resistance based on volume acceptance. 4. Liquidity Pool Detection System The system identifies multiple types of liquidity pools: Equal Highs/Lows: Price levels where multiple highs or lows form at similar levels, creating liquidity pools for institutional players to target Swing Points: Pivot highs and lows that represent areas where retail stops are likely clustered Liquidity Sweeps: Instances where price briefly moves beyond recent highs/lows but fails to sustain, indicating stop hunting activity These areas often precede significant price moves as institutions clear retail positions before establishing their own. 5. Trend Strength Calculation The indicator calculates trend strength as: Trend Strength = abs((Fast MA - Slow MA) / Slow MA) * 100 This provides a quantitative measure of trend momentum, helping traders distinguish between strong trending moves and weak corrective phases. Visual Elements Moving Average Cloud: Fill between Fast and Slow MAs with gradient coloring based on trend direction Dynamic Zones: Support zones in green, resistance zones in red with glowing borders POC Line: Golden cross marking the highest volume price level Liquidity Markers: Triangles for equal highs/lows, diamonds for swing points Signal Arrows: BUY/SELL labels for trend changes and zone touches Trend Background: Subtle background coloring indicating overall market bias Dashboard: Real-time display of trend status, strength, and distances to key levels How Components Work Together The integration creates a layered analysis approach: Layer 1 - Trend Identification: Adaptive MAs determine primary trend direction with minimal lag Layer 2 - Dynamic Levels: Support/resistance zones provide entry and exit levels that adapt to volatility Layer 3 - Volume Confirmation: POC shows where institutions are most active Layer 4 - Liquidity Mapping: Equal highs/lows and swing points reveal where reversals are likely Layer 5 - Signal Synthesis: All components combine to generate high-probability trade signals Example scenario: Price approaches a dynamic support zone (Layer 2) in an uptrend (Layer 1), near the POC level (Layer 3), with equal lows nearby (Layer 4). This confluence suggests a high-probability bounce location. Input Parameters Trend Settings: Fast MA Length: Period for fast moving average (default: 20) Slow MA Length: Period for slow moving average (default: 50) Trend MA Length: Period for trend filter (default: 200) MA Type: Choose from SMA, EMA, HMA, TEMA, DEMA, ZEMA, VWMA Show MA Cloud: Toggle cloud fill between fast and slow MAs Zone Settings: Zone Calculation Length: Period for HMA zone calculation (default: 50) Zone Deviation: ATR multiplier for zone width (default: 1.5) Show Support/Resistance Zones: Toggle zone display Volume Profile Settings: Volume Profile Length: Lookback period for volume calculation (default: 100) Number of Price Bins: Granularity of volume profile (default: 20) Show Volume Profile: Toggle POC display Liquidity Settings: Show Liquidity Zones: Toggle liquidity markers Liquidity Lookback: Period for swing point detection (default: 50) How to Use This Indicator Step 1: Identify Trend Direction Check the MA cloud color and trend background. Green indicates bullish trend, red indicates bearish trend. Step 2: Locate Dynamic Zones Identify current support and resistance zones. These adapt to volatility and provide better levels than static pivots. Step 3: Check Volume Profile Note the POC level - this shows where most institutional activity occurred and often acts as magnetic price level. Step 4: Map Liquidity Pools Look for equal highs/lows and swing points. These areas often see stop hunting before major moves. Step 5: Wait for Confluence Best setups occur when multiple elements align: trend direction + zone touch + POC proximity + liquidity pool. Step 6: Monitor Dashboard Use the dashboard to track trend strength, distances to key levels, and current signal status. Best Practices Use on 15-minute to daily timeframes for optimal signal quality Combine with proper risk management - zones provide levels, not exact entries Pay attention to trend strength - stronger trends have higher continuation probability Watch for zone touches in trending markets as continuation signals Liquidity sweeps often provide excellent risk:reward entries when they fail POC acts as magnetic level - price often returns to test these areas Volume confirmation is critical - avoid signals during low volume periods Indicator Limitations Does not provide exact entry/exit signals - requires trader interpretation Can generate false signals in choppy, sideways markets Dynamic zones may adjust too quickly in highly volatile conditions Volume profile requires sufficient lookback data to be meaningful Liquidity pools don't always get tested - not every level provides opportunity Trend strength can remain elevated longer than expected during strong moves Performance varies across different markets and timeframes Requires understanding of institutional order flow concepts for effective use Technical Implementation Built with Pine Script v6 using: Advanced moving average calculations with zero-lag techniques Real-time volume profile computation with dynamic binning Adaptive support/resistance zone calculation using HMA and ATR Pivot-based liquidity pool detection with swing analysis Dynamic color gradients based on trend strength and direction Comprehensive dashboard with real-time statistics Anti-overlap signal filtering to prevent signal clustering The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its integration approach. While individual components (moving averages, support/resistance, volume profile, liquidity detection) are established concepts, this integration is justified because: It synthesizes four distinct methodologies that address different market aspects The adaptive zone calculation provides dynamic levels that adjust to current volatility Volume profile integration shows institutional activity concentration in real-time Liquidity pool detection reveals areas where institutional stop hunting typically occurs The combination helps identify confluence zones where multiple factors align Anti-overlap filtering and trend strength calculation provide quantitative edge Each component contributes unique information: adaptive MAs provide trend direction with minimal lag, dynamic zones offer volatility-adjusted levels, volume profile reveals institutional activity, and liquidity detection identifies reversal zones. The integration's value lies in presenting these complementary perspectives simultaneously with unified signal generation. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Technical indicators are tools for analysis, not guarantees of future performance. Past performance and backtested results do not guarantee future results. Market conditions change, and strategies that worked historically may not work in the future. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® 인디케이터
officialjackofalltrades의
Liquidity Depth Indicator [BigBeluga]🔵 OVERVIEW Liquidity Depth Indicator visualizes the distribution, balance, and depth of liquidity within a selected lookback window. It builds a full liquidity profile by scanning how often price interacted with each price level, generating cumulative buy-side and sell-side curves, heatmap intensity zones, and a clear Point of Control (PoC). This provides a deep structural view of where liquidity sits, how it’s stacked, and which side of the market dominates. 🔵 CONCEPTS Liquidity Binning — The full range (High → Low) over the lookback window is divided into 100 micro-price zones. Each candle contributes its volume into the bin closest to its close. Buy/Sell Side Split — • Zones above the midpoint = potential sell-side liquidity concentration. • Zones below midpoint = potential buy-side liquidity concentration. Cumulative Liquidity Curves — Each side builds a flowing curve showing how liquidity stacks from mid toward extremes. Liquidity Heatmap — Highlights volume density at each price level using color intensity for easy visual analysis. Point of Control — The price level with the highest liquidity accumulation (max volume bin). 🔵 FEATURES 100-Level Volume Distribution — Scans all candles inside the lookback period and assigns each close to the nearest bin. Sell-Side Depth Curve — Plotted above the midpoint, showing how sell liquidity increases as price moves toward the top of the range. Buy-Side Depth Curve — Plotted below the midpoint, showing how buy liquidity builds toward the bottom of the range. Volume Labels — Displays total buy-side and sell-side volume at curve peaks. Mid-Range Liquidity Split — Calculates: • Buy-side liquidity % • Sell-side liquidity % Displayed in two vertical boxes next to the profile. Liquidity Heatmap Overlay — Color-coded price strips showing where largest clusters sit: • Above midpoint → Sell zones • Below midpoint → Buy zones PoC Detection — Draws the strongest liquidity level with a bold line and prints its relative volume. Range Frame Lines — High, Low, and Mid lines are plotted to define the liquidity environment. Auto-Cleanup & Rebuild — All curves, boxes, and heatmap segments are refreshed each bar using barstate.islast. 🔵 HOW IT WORKS 1. Determines High, Low, and Mid over the lookback window. 2. Divides the range into 100 bins based on linear spacing. 3. Accumulates volume per bin depending on where each candle’s close lands. 4. Builds total, buy-side, and sell-side cumulative curves . 5. Colors the heatmap based on normalized volume per bin. 6. Locates PoC — the bin with maximum volume. 7. Creates buy/sell percentage distribution boxes . 🔵 HOW TO USE Identify Liquidity Imbalance — Compare the buy vs sell percentage boxes to see which side dominates. Spot Strong Liquidity Walls — Thick portions of cumulative curves represent areas price may reject. Read PoC as a Magnet — Price often gravitates toward the PoC or reacts strongly once reached. Evaluate Breakout Strength — If liquidity is concentrated at extremes, a breakout may face strong absorption. Use Heatmap as Hidden S/R — The brightest zones frequently act as hidden support/resistance. Detect Exhaustion Areas — If a curve sharply thins near highs or lows, the trend may weaken. 🔵 CONCLUSION Liquidity Depth Indicator is a powerful microstructure tool that reveals where liquidity is stacked within a price range. By combining cumulative curves, heat mapping, and PoC identification, it exposes both visible and hidden liquidity layers — helping traders spot absorption zones, reversal clusters, liquidity pools, and trend exhaustion areas with high clarity.
Pine Script® 인디케이터
BigBeluga의
5
Blockcircle Price Gaps (PG)I got tired of price gap indicators that dump every zone on the chart and leave you to figure out which ones actually matter. I have tried every single one imaginable. Therefore, I built this one to score each gap automatically based on how close it is, how it formed, and whether it aligns with the trend. Instead of cryptic numbers, it just tells you: Strong, Moderate, or Weak, plus how far away it is. You see what matters, skip what doesn't. Hopefully, you find it helpful! If you have other ideas to improve it even further, please let me know, and I can integrate them. WHAT MAKES IT ORIGINAL AND DIFFERENT Standard gap indicators display every detected imbalance with identical visual treatment, leaving traders to manually assess which zones matter. This creates cluttered charts and analysis paralysis. This BLOCKCIRCLE PRICE GAPS (PG) indicator solves that problem with a Relevance Engine that automatically scores each gap from 0 to 100 and translates scores into plain language: Strong, Moderate, or Weak. Each zone displays its strength rating and distance from the current price, so you instantly know which gaps deserve attention and how far the price must travel to reach them. The scoring combines four factors that research shows correlate with zone effectiveness: Proximity: Gaps closer to the current price score higher because nearby zones influence immediate price action more than distant ones. Formation Volume: Gaps created during above-average volume suggest institutional activity rather than random price movement. Impulse Strength: Gaps formed by strong moves (measured against ATR) indicate genuine supply/demand imbalance rather than noise. Trend Alignment: Support gaps in uptrends and resistance gaps in downtrends receive bonus points for trading with momentum. Visual intensity reflects strength automatically. Strong zones appear darker and more prominent. Weak zones fade into the background. You see what matters without decoding numbers. HOW IT WORKS Price Gaps form when aggressive buying or selling creates an imbalance, leaving unfilled space between candles. These zones often act as support (bullish gaps below price) or resistance (bearish gaps above price) when the price returns to them. Detection uses the standard three-candle method: a bullish gap exists when the current low exceeds the high from two bars prior. A bearish gap exists when the current high falls below the low from two bars prior. What makes this implementation different is continuous relevance tracking . Each bar, every gap receives an updated score based on current conditions . As the price moves away, the proximity scores decrease. As gaps age, time decay gradually reduces their overall relevance. When capacity limits are reached, the lowest-scoring gap is removed first, ensuring your chart always shows the most actionable zones. Labels show practical information: Strength rating (Strong, Moderate, or Weak) Zone type (Support or Resistance) Distance from current price with direction (+12% means above, -8% means below) FEATURES Relevance scoring with automatic strength classification Plain-language labels showing strength and distance Color intensity that reflects zone importance Retest detection when price returns to unfilled gaps Proximity filtering to hide distant zones Age filtering to remove stale gaps Size filtering for minimum and maximum gap thresholds Relevance-based capacity management Information panel with zone counts and trend context Multiple label style options HOW THE COMPONENTS WORK TOGETHER The system operates as a filtering pipeline: Size filters remove gaps that are too small (market noise) or too large (extreme events unlikely to fill). The Relevance Engine scores qualifying gaps based on proximity, volume, impulse, and trend. Gaps below the minimum score threshold are hidden. Proximity and age filters remove distant or stale gaps. When at capacity, the lowest-scoring gap is removed to make room for new detections. This layered approach ensures only the most relevant gaps appear on your chart. CONFIGURABLE SETTINGS Display Settings control how many zones appear and how they are displayed. Label Style lets you choose what information displays: Strength plus Distance (default), Strength Only, Distance Only, Score Only, or None. Relevance Engine settings include the master toggle and minimum score threshold. The Scoring Weights section allows advanced users to adjust how much each factor contributes. Filters control size thresholds, maximum distance from price, and maximum age in bars. Retest Alerts notify you when the price returns to an unfilled gap with three sensitivity options. Zone Behavior controls whether filled gaps are removed and what counts as a filled gap. HOW TO USE The default settings work well for most timeframes and markets. Strong zones (shown in brighter colors with yellow text) have multiple factors aligned and deserve the most attention. Moderate zones are worth watching. Weak zones provide context but may not produce reliable reactions. For active trading, focus on Strong and Moderate zones within 10% of the current price. These are the most likely to influence near-term price action. For swing trading, expand the Maximum Distance setting to see zones further from the price that may become relevant as trends develop. When the Retest alert fires, the price is returning to an unfilled gap. Evaluate the zone strength, look for price reaction at the zone boundary, and consider whether the move aligns with the broader trend before trading. The information panel shows: Support: Count of bullish gaps (potential buying zones) Resistance: Count of bearish gaps (potential selling zones) Unfilled: Zones not yet touched by price Avg Strength: Overall quality of visible zones Trend: Current direction based on EMA alignment LIMITATIONS Relevance scoring is probabilistic, not predictive. A Strong gap is more likely to produce a reaction based on historical patterns, but any zone can fail. The trend component uses EMA crossovers (20/50/200), which may lag in choppy markets. Distance calculations update each bar. During volatile moves, labels may briefly show different values as price swings. DEFAULTS These are the defaults, but you would adjust and calibrate it to a specific asset, as needed: Maximum Zones: 12 Label Style: Strength + Distance Minimum Score: 20 Maximum Distance: 25% Maximum Age: 300 bars If you have any questions at all, please ask away!
Pine Script® 인디케이터
blockcircle의
VWAP Confluence Pro█ OVERVIEW VWAP Confluence Pro is a high-precision trading indicator that combines VWAP with multiple confirmation filters to generate reliable buy and sell signals. Unlike basic VWAP crossover strategies that produce excessive noise, this indicator requires alignment across six independent conditions before triggering a signal, dramatically reducing false entries while capturing high-probability setups. █ FEATURES Multi-Layer Confirmation System The indicator employs a strict confluence approach requiring all of the following conditions to align: - VWAP Cross: Price must cross above (buy) or below (sell) the VWAP line - VWAP Trend: The VWAP itself must be rising for buys or falling for sells, confirming directional bias - Price Trend: A 20-period moving average filter ensures trades align with the prevailing trend - Volume Confirmation: Signals only trigger when volume exceeds 1.5x the 20-bar average, indicating institutional participation - RSI Filter: Buys require RSI between 50-60 (bullish momentum without overbought conditions), sells require 40-50 (bearish momentum without oversold conditions) - MACD Momentum: MACD must confirm directional bias with the MACD line above the signal line for buys, below for sells Signal Cooldown Period A configurable cooldown mechanism (default 10 bars) prevents signal clustering and overtrading by ensuring adequate spacing between alerts. This feature is critical for maintaining discipline and avoiding choppy market conditions. Visual Elements - Purple VWAP Line: The cornerstone of the strategy, plotted with high visibility - Green Up Arrows: Buy signals appear below price candles when all conditions align - Red Down Arrows: Sell signals appear above price candles when all conditions align - Blue Trend MA: A semi-transparent moving average provides visual trend context - Background Shading: Subtle green/red backgrounds indicate when multiple confluence factors are aligned, even without a cross █ HOW TO USE Timeframe Selection This indicator is optimized for intraday trading on 1-minute to 15-minute charts, where VWAP is most effective. It can also be used on hourly charts for swing trade entries or daily charts with appropriate parameter adjustments. Parameter Optimization All key parameters are customizable through the indicator settings: - VWAP Deviation %: Controls sensitivity (default 0.8%). Lower values = stricter signals - Volume Multiplier: Defines volume threshold (default 1.5x). Higher values = stronger volume confirmation required - Trend Filter Length: Moving average period (default 20). Adjust based on your timeframe - Cooldown Period: Minimum bars between signals (default 10). Increase for slower markets - RSI/MACD Settings: Standard values provided, adjust for specific instruments if needed Trading Strategy 1 — Wait for a signal arrow to appear (green for buy, red for sell) 2 — Confirm the background shading supports the signal direction 3 — Enter on the close of the signal candle or the open of the next candle 4 — Set stop loss below/above the recent swing low/high or the VWAP line 5 — Take profit at logical resistance/support levels or when opposing confluence develops Best Practices - Only take long trades when price is above a rising VWAP - Only take short trades when price is below a falling VWAP - Avoid trading during low volume periods (first/last 15 minutes of sessions) - Use the background shading to gauge overall market bias between signals - Consider increasing the cooldown period in choppy or range-bound conditions █ LIMITATIONS - This indicator is designed for trending markets and will produce fewer signals during consolidation periods - The strict confluence requirements mean you may miss some valid moves in exchange for higher signal quality - VWAP resets at the start of each session, making it less reliable on 24-hour markets without session breaks (use anchored VWAP for crypto/forex) - Requires real-time volume data to function properly, less effective on thinly traded instruments - Not suitable for scalping strategies requiring rapid entries, as the cooldown mechanism intentionally limits signal frequency █ NOTES Signal Quality Over Quantity This indicator prioritizes accuracy over frequency. You may only see 1-3 signals per session on lower timeframes, but each signal represents a setup where trend, momentum, and volume are all aligned. This approach is designed to keep you out of low-probability trades and focused on the best opportunities. Customization Encouraged The default parameters provide a solid foundation, but different instruments and timeframes may benefit from optimization. Test the indicator across various settings to find what works best for your specific trading style and markets. ═════════════════════════════════════════════════════════════════════════ This indicator synthesizes best practices from institutional VWAP trading with momentum confirmation from RSI and MACD. By requiring multiple independent factors to align, it filters out the noise common in single-indicator systems and focuses on setups where probability favors directional moves.
Pine Script® 인디케이터
mr_redbrenden의
Volume Ratio [MIT]Core Logic: This indicator splits each bar's volume into "Buy Volume" and "Sell Volume" based on the relationship between close and open price, then calculates the rolling ratio of cumulative buy volume to sell volume over the past n bars, helping traders gauge short-term buying vs. selling pressure. Volume Split Rules: Bull bar (close > open): All volume assigned to Buy Bear bar (close < open): All volume assigned to Sell Flat bar (close == open): Handled by the "Flat bar volume" setting: Split 50/50 (default): 50% Buy + 50% Sell Ignore: Volume discarded (0 Buy, 0 Sell) All to Buy: All volume to Buy All to Sell: All volume to Sell Calculation: buySum = rolling sum of buy volume over last n bars sellSum = rolling sum of sell volume over last n bars Ratio = buySum / sellSum (na when sellSum = 0) Ratio > 1: Buying pressure dominates (red line) Ratio < 1: Selling pressure dominates (green line) Visual Elements: Green line: Rolling Buy Volume (n bars) – optional Red line: Rolling Sell Volume (n bars) – optional Colored line: Buy/Sell Ratio (red when >1, green when <1) Horizontal line at 1.0: Neutral balance level Typical Trading Use Cases: Trend Confirmation: Ratio persistently > 1.2–1.5 while price rises → strong bullish confirmation Divergence: Price makes higher high but ratio declines → potential top divergence Breakout Filter: Breakout with rapidly rising ratio → higher probability breakout Range Market Avoidance: Ratio oscillating between 0.8–1.2 → avoid choppy entries Crypto Day/Swing Trading: Commonly used on 5m–1h charts, combined with price action or order flow 核心逻辑： 该指标基于K线的收盘价与开盘价的关系，将每根K线的成交量（volume）拆分为“买入量”（Buy Volume）和“卖出量”（Sell Volume），然后计算过去n根K线的累计买入量与卖出量的比率（Buy/Sell Ratio），用来判断短期内买卖力量的相对强弱。 成交量拆分规则： 阳线（close > open）：全部成交量计入买入量 阴线（close < open）：全部成交量计入卖出量 平线（close == open）：根据“Flat bar volume”参数处理： Split 50/50（默认）：平分50%买入 + 50%卖出 Ignore：忽略该K线（都不计） All to Buy：全部算买入 All to Sell：全部算卖出 计算方式： 滚动窗口n根K线内的累计买入量（buySum）和卖出量（sellSum） 比率 = buySum / sellSum（当sellSum=0时显示na） 比率 > 1：买入力量占优（红色） 比率 < 1：卖出力量占优（绿色） 图表显示： 绿色柱线：过去n根的累计买入量（可选显示） 红色柱线：过去n根的累计卖出量（可选显示） 彩色折线：买入/卖出比率（>1红色，<1绿色） 水平线1.0：平衡线（比率=1） 典型使用场景： 趋势确认：比率持续 > 1.2~1.5 且价格上涨 → 强势多头确认 背离信号：价格创新高但比率持续下降 → 潜在顶部背离 放量突破：突破关键位时比率同步快速拉升 → 突破有效性更高 震荡市过滤：比率在0.8~1.2区间反复震荡 → 避免频繁交易 币圈短线：常用于5分钟~1小时图，配合价格结构或订单流使用
Pine Script® 인디케이터
MITAlphaLibrary의
Volume vs Range Imbalance DetectorDescription :- Concept :- This indicator is designed to identify "Effort vs. Result" anomalies in the market using Volume Spread Analysis (VSA) concepts. It highlights specific candles where high trading activity (Volume) is occurring, but the price movement (Range) is restricted. This behavior often signals the presence of heavy absorption by buyers or sellers ("Smart Money" activity) before a potential reversal or continuation. How It Works :- The script combines two distinct methods of volume analysis into a single view 1. Structural Imbalance (Lime & Red Signals) This logic detects major market anomalies by comparing the current candle against a 50-period average context. The Logic: A signal is generated if the Volume is significantly higher than the average (default 1.618x the 50 SMA) AND the Price Range is significantly smaller than the average (default 1.272x the 50 ATR). Lime Candle/Dot (Bullish Absorption): Massive volume with small range, closing in the upper 50% of the bar. This suggests sellers are dumping, but buyers are absorbing all orders, preventing the price from dropping. Red Candle/Dot (Bearish Blockade): Massive volume with small range, closing in the lower 50% of the bar. This suggests buyers are pushing, but sellers are absorbing the demand, preventing the price from rising. 2. Hidden Activity (Orange Signals) This logic is more sensitive and compares the current candle only to the previous candle. The Logic: A signal is generated if the current Volume is higher than the previous bar's volume, but the current Range is smaller than the previous bar's range. Orange Candle/Dot: This indicates "Churn." Effort is increasing, but the result (movement) is decreasing. It is often an early warning sign of congestion or a pending breakout. Visual Guide Lime Dot (Below Bar): Strong Buying Pressure (Bullish Imbalance). Red Dot (Above Bar): Strong Selling Pressure (Bearish Imbalance). Orange Dot (Above Bar): Hidden Activity / Churn (Warning). Settings Context Length: The lookback period for the moving averages (Default: 50). Volume/Range Multipliers: Determine how strict the "Imbalance" signals are. Higher numbers result in fewer, more significant signals. Show Hidden Activity: Toggle the orange signals on or off. Disclaimer This tool is for educational purposes only. Volume analysis is subjective and should be used in conjunction with other form
Pine Script® 인디케이터
biokon70의
DeltaBurst Locator ## DeltaBurst Locator DeltaBurst Locator is a sponsorship detector that divides OBV impulse by price thrust, normalizes the ratio, and cross-checks it against a higher timeframe confirmation stream. The oscillator turns the abstract "is this move real?" question into a precise number, exposing accumulation, distribution, and exhaustion across futures and stocks. HOW IT WORKS OBV Impulse vs. Price Change – Smoothed deltas of On-Balance Volume and price are ratioed, then normalized using a hyperbolic tangent function to prevent single prints from dominating. Signal vs. Confirmation – A short EMA produces the execution signal while a higher-timeframe request.security() feed validates whether broader flows agree. Spectrum Classification – Expansion/compression metrics grade whether current aggression is intense or fading, while ±0.65 bands define exhaust/vacuum zones. Slope Divergences – Linear regression slopes on both price and the ratio expose bullish/bearish sponsorship mismatches before candles reverse. HOW TO USE IT Breakout Validation : Only chase breakouts when both local and higher-timeframe ratios are on the same side of zero; mixed signals suggest liquidity is fading. Absorption Trades : When the histogram spikes beyond ±0.65 but the EMA lags, expect absorption; combine with price structure for pinpoint reversals. News/Event Monitoring : During earnings or macro releases, watch for ratio collapses with price still rising—this flags forced moves driven by hedging rather than real demand. VISUAL FEATURES Color logic: Positive sponsorship fills teal, negative fills crimson against the zero line, making intent obvious at a glance. Optional markers: Burst triangles and divergence dots can be enabled when you need explicit annotations or left off for a minimalist panel. Compression heatmap: Background shading communicates whether the market is coiling (high compression) or erupting (low compression). Dashboard: Displays the live ratio, higher-timeframe ratio, and agreement state to speed up scanning across tickers. PARAMETERS Fast Pulse Length (default: 5): Controls the smoothing window for price change detection. Slow Equilibrium Length (default: 34): Window for expansion/compression calculation. OBV Smooth (default: 8): Smoothing period for OBV impulse calculation. Ratio Ceiling (default: 3.0): Controls how aggressively values saturate; raise for high-volatility tickers. Signal EMA (default: 4): EMA period for the signal line. Confirmation Timeframe (default: 240): Pick a higher anchor (e.g., 4H) to validate intraday moves. Divergence Window (default: 21): Window for slope-based divergence detection. Show Burst Markers (default: disabled): Toggle burst triangles on demand. Show Divergence Markers (default: disabled): Toggle divergence dots on demand. Show Delta Dashboard (default: enabled): Hide when screen space is limited; leave on for desk broadcasts. ALERTS The indicator includes four alert conditions: DeltaBurst Bull: Spotted a bullish liquidity burst DeltaBurst Bear: Spotted a bearish liquidity burst DeltaBurst Bull Div: Detected bullish sponsorship divergence DeltaBurst Bear Div: Detected bearish sponsorship divergence Hope you enjoy!
Pine Script® 인디케이터
officialjackofalltrades의
Volume Pressure OscillatorThe Volume Pressure Oscillator (VPO) is a momentum-based indicator that measures the directional pressure of cumulative volume delta (CVD) combined with price efficiency. It oscillates between 0 and 100, with readings above 50 indicating net buying pressure and readings below 50 indicating net selling pressure. The indicator is designed to identify the strength and sustainability of volume-driven trends while remaining responsive during consolidation periods. How the Indicator Works The VPO analyzes volume flow by examining price action at lower timeframes to build a Cumulative Volume Delta (CVD). For each chart bar, the indicator looks at intrabar price movements to classify volume as either buying volume or selling volume. These classifications are accumulated into a running total that tracks net directional volume. The indicator then measures the momentum of this CVD over both short-term and longer-term periods, providing responsiveness to recent changes while maintaining awareness of the broader trend. These momentum readings are normalized using percentile ranking, which creates a stable 0-100 scale that works consistently across different instruments and market conditions. A key feature is the extreme zone persistence mechanism. When the indicator enters extreme zones (above 80 or below 20), it maintains elevated readings as long as volume pressure continues in the same direction. This allows the VPO to stay in extreme zones during strong trends rather than quickly reverting to neutral, making it useful for identifying sustained volume pressure rather than just temporary spikes. What Makes This Indicator Different While many indicators measure volume or volume delta, the VPO specifically measures how aggressively CVD is currently changing and whether that pressure is being sustained. It's the difference between knowing "more volume has accumulated on the buy side" versus "buying pressure is intensifying right now and shows signs of continuation." 1. Focus on CVD Momentum, Not CVD Levels Most CVD indicators display the cumulative volume delta as a line that trends up or down indefinitely. The VPO is fundamentally different - it measures the slope of CVD rather than the absolute level. This transforms CVD from an unbounded cumulative metric into a bounded 0-100 oscillator that shows the intensity and direction of current volume pressure, not just the historical accumulation. 2. Designed to Stay in Extremes During Trends Unlike traditional oscillators that treat extreme readings (above 80 or below 20) as overbought/oversold reversal signals, the VPO is engineered to oscillate within extreme zones during strong trends. When sustained buying or selling pressure exists, the indicator remains elevated (e.g., 80-95 or 5-20) rather than quickly reverting to neutral. This makes it useful for trend continuation identification rather than exclusively for reversal trading. 3. Percentile-Based Normalization The VPO uses percentile ranking over a lookback window, which provides consistent behavior across different instruments, timeframes, and volatility regimes without constant recalibration. 4. Dual-Timeframe Momentum Synthesis The indicator simultaneously considers short-term CVD momentum (responsive to recent changes) and longer-term CVD momentum (tracking trend direction), weighted and combined with a slow-moving trend bias. This multi-timeframe approach helps it stay responsive in ranging markets while maintaining context during trends. How to Use the Indicator Understanding the Zones: 80-100 (Strong Buying Pressure): CVD momentum is strongly positive. In trending markets, the indicator oscillates within this zone rather than immediately reverting to neutral. This suggests sustained accumulation and trend continuation probability. 60-80 (Moderate Buying): Positive volume pressure but not extreme. Suitable for identifying pullback entry opportunities within uptrends. 40-60 (Neutral Zone): Volume pressure is balanced or unclear. No strong directional edge from volume. Often seen during consolidation or trend transitions. 20-40 (Moderate Selling): Negative volume pressure developing. May indicate distribution or downtrend continuation setups. 0-20 (Strong Selling Pressure): CVD momentum is strongly negative. During downtrends, sustained readings in this zone suggest continued distribution and downside follow-through probability. Practical Applications: Trend Confirmation: When price makes new highs/lows, check if VPO confirms with similarly elevated readings. Divergences (price making new highs while VPO fails to reach prior highs) may indicate weakening momentum. Range Trading: During consolidation, the VPO typically oscillates between 30-70. Readings toward the low end of the range (30-40) may present accumulation opportunities, while readings at the high end (60-70) may indicate distribution zones. Extreme Persistence: If VPO reaches 90+ or drops below 10, this indicates exceptional volume pressure. Rather than fading these extremes immediately, monitor whether the indicator stays elevated. Sustained extreme readings suggest strong trend continuation potential. Context with Price Action: The VPO is most effective when combined with price action or other orderflow indicators. Use the indicator to gauge whether volume is confirming or contradicting. What the Indicator Does NOT Do: It does not provide specific entry or exit signals It does not predict future price direction It does not guarantee profitable trades It should not be used as a standalone trading system Settings Explanation Momentum Period (Default: 14) This parameter controls the lookback period for CVD rate-of-change calculations. Lower values (5-10): Make the indicator more responsive to recent volume changes. Useful for shorter-term trading and more active oscillation. May produce more whipsaws in choppy markets. Default value (14): Provides balanced responsiveness while filtering out most noise. Suitable for swing trading and daily timeframe analysis. Higher values (20-50): Create smoother readings and focus on longer-term volume trends. Better for position trading and reducing false signals, but with slower reaction to genuine changes in volume pressure. Important Notes: This indicator requires intrabar data to function properly. On some instruments or timeframes where lower timeframe data is not available, the indicator may not display. The indicator uses request.security_lower_tf() which has a limit of intrabars. On higher timeframes, this provides extensive history, but on very low timeframes (<1-minute charts), the indicator may only cover limited historical bars. Volume data quality varies by exchange and instrument. The indicator's effectiveness depends on accurate volume reporting from the data feed.
Pine Script® 인디케이터
VEGAlgo의
Dynamic Volume Trace Profile [ChartPrime]⯁ OVERVIEW Dynamic Volume Trace Profile is a reimagined take on volume profile analysis. Instead of plotting a static horizontal histogram on the side of your chart, this indicator projects dynamic volume trace lines directly onto the price action. Each bin is color-graded according to its relative strength, creating a living “volume skeleton” of the market. The orange trace highlights the current Point of Control (POC)—the price level with maximum historical traded volume within the lookback window. On the right side, the tool builds a mini profile, showing absolute volume per bin alongside its percentage share, where the POC always represents 100% strength . ⯁ KEY FEATURES Dynamic On-Chart Bins: The range between highest high and lowest low is split into 25 bins. Each bin is drawn as a horizontal trace line across the lookback chart period. Gradient Color Encoding: Trace lines fade from transparent to teal depending on relative volume size. The more intense the teal, the stronger the historical traded activity at that level. Automatic POC Highlight: The bin with the highest aggregated volume is flagged with an orange line . This POC adapts bar-by-bar as volume distribution shifts. Right-Side Volume Profile: At the chart’s right edge, the script prints a box-style profile. Each bin shows: • Total volume (absolute units). • Percentage of max volume, in parentheses (POC bin = 100%). This gives both raw and normalized context at a glance. Adjustable Lookback Window: The lookback defines how many bars feed the profile. Increase for stable HTF zones or decrease for responsive intraday distributions. POC Toggle & Styling: Optionally toggle POC highlighting on/off, adjust colors, and set line thickness for better integration with your chart theme. ⯁ HOW IT WORKS (UNDER THE HOOD) Step Sizing: over last 100 bars is divided by to calculate bin height. Volume Aggregation: For each bar in the , the script checks which bin the close falls into, then adds that bar’s volume to the bin’s counter. Gradient Mapping: Bin volume is normalized against the max volume across all bins. That value is mapped onto a gradient from transparent → teal. POC Logic: The bin with highest volume is colored orange both on the dynamic trace and in the right-side profile. Right-Hand Profile: Boxes are drawn for each bin proportional to volume / maxVolume × 50 units, with text labels showing both absolute volume and normalized %. ⯁ USAGE Use the orange trace as the dominant “magnet” level—price often gravitates to the POC. Watch for clusters of strong teal traces as areas of high acceptance; thin or faint zones mark low-liquidity gaps prone to fast moves. On intraday charts, tighten lookback to reveal session-based distributions . For swing or position trading, expand lookback to surface more durable volume shelves. Compare the right-side profile % to judge how “top-heavy” or “bottom-heavy” the current distribution is. Use bright, intense color traces as context for confluence with structure, OBs, or liquidity hunts. ⯁ CONCLUSION Dynamic Volume Trace Profile takes the traditional volume profile and fuses it into the body of price itself. Instead of a fixed sidebar, you see gradient traces layered directly on the chart, giving real-time context of where volume concentrated and where price may be drawn. With built-in POC highlighting, normalized % readouts, and an adaptive right-side profile, it offers both precision levels and market structure awareness in a cleaner, more intuitive form.
Pine Script® 인디케이터
ChartPrime의
12
VSA Volume MonitorDescription This script provides a clear and adaptable visual representation of volume activity, helping traders understand how current participation compares to recent norms. It calculates a moving average of volume over a user-defined smoothing window and uses that baseline to classify each bar’s volume into several intensity levels. Bars are color-coded to reflect these levels: • Blue for below-average activity • Green for moderate activity • Yellow for above-average surges • Red for exceptionally high or climactic volume In addition to color-coded bars, the script plots two reference bands that represent the typical (baseline) and elevated (climactic) volume zones. These bands form a shaded cloud that helps visually separate normal market participation from periods of unusual crowd activity or volatility. The purpose of this indicator is purely visual and informational — it does not generate buy or sell signals, and it does not predict future price movement. Instead, it gives traders an at-a-glance view of how market interest is shifting, so they can combine that context with their own analysis or strategy. This tool is lightweight, easy to read, and designed for use alongside other forms of technical analysis, making it suitable for traders who want to build their own framework for understanding volume behavior.
Pine Script® 인디케이터
deep_in_the_tape_1의
Volumatic Fair Value Gaps [BigBeluga]🔵 OVERVIEW The Volumatic Fair Value Gaps indicator detects and plots size-filtered Fair Value Gaps (FVGs) and immediately analyzes the bullish vs. bearish volume composition inside each gap. When an FVG forms, the tool samples volume from a 10× lower timeframe , splits it into Buy and Sell components, and overlays two compact bars whose percentages always sum to 100%. Each gap also shows its total traded volume . A live dashboard (top-right) summarizes how many bullish and bearish FVGs are currently active and their cumulative volumes—offering a quick read on directional participation and trend pressure. 🔵 CONCEPTS FVGs (Fair Value Gaps) : Imbalance zones between three consecutive candles where price “skips” trading. The script plots bullish and bearish gaps and extends them until mitigated. Size Filtering : Only significant gaps (by relative size percentile) are drawn, reducing noise and emphasizing meaningful imbalances. // Gap Filters float diff = close > open ? (low - high ) / low * 100 : (low - high) / high *100 float sizeFVG = diff / ta.percentile_nearest_rank(diff, 1000, 100) * 100 bool filterFVG = sizeFVG > 15 Volume Decomposition : For each FVG, the indicator inspects a 10× lower timeframe and aggregates volume of bullish vs. bearish candles inside the gap’s span. 100% Split Bars : Two inline bars per FVG display the % Bull and % Bear shares; their total is always 100%. Total Gap Volume : A numeric label at the right edge of the FVG shows the total traded volume associated with that gap. Mitigation Logic : Gaps are removed when price closes through (or touches via high/low—user-selectable) the opposite boundary. Dashboard Summary : Counts and sums the active bullish/bearish FVGs and their total volumes to gauge directional dominance. 🔵 FEATURES Bullish & Bearish FVG plotting with independent color controls and visibility toggles. Adaptive size filter (percentile-based) to keep only impactful gaps. Lower-TF volume sampling at 10× faster resolution for more granular Buy/Sell breakdown. Per-FVG volume bars : two horizontal bars showing Bull % and Bear % (sum = 100%). Per-FVG total volume label displayed at the right end of the gap’s body. Mitigation source option : choose close or high/low for removing/invalidating gaps. Overlap control : older overlapped gaps are cleaned to avoid clutter. Auto-extension : active gaps extend right until mitigated. Dashboard : shows count of bullish/bearish gaps on chart and cumulative volume totals for each side. Performance safeguards : caps the number of active FVG boxes to maintain responsiveness. 🔵 HOW TO USE Turn on/off FVG types : Enable Bullish FVG and/or Bearish FVG depending on your focus. Tune the filter : The script already filters by relative size; if you need fewer (stronger) signals, increase the percentile threshold in code or reduce the number of displayed boxes. Choose mitigation source : close — stricter; gap is removed when a closing price crosses the boundary. high/low — more sensitive; a wick through the boundary mitigates the gap. Read the per-FVG bars : A higher Bull % inside a bullish gap suggests constructive demand backing the imbalance. A higher Bear % inside a bearish gap suggests supply is enforcing the imbalance. Use total gap volume : Larger totals imply more meaningful interest at that imbalance; confluence with structure/HTF levels increases relevance. Watch the dashboard : If bullish counts and cumulative volume exceed bearish, market pressure is likely skewed upward (and vice versa). Combine with trend tools or market structure for entries/exits. Optional: hide volume bars : Disable Volume Bars when you want a cleaner FVG map while keeping total volume labels and the dashboard. 🔵 CONCLUSION Volumatic Fair Value Gaps blends precise FVG detection with lower-timeframe volume analytics to show not only where imbalances exist but also who powers them. The per-gap Bull/Bear % bars, total volume labels, and the cumulative dashboard together provide a fast, high-signal read on directional participation. Use the tool to prioritize higher-quality gaps, align with trend bias, and time mitigations or continuations with greater confidence.
Pine Script® 인디케이터
BigBeluga의
16
Volume Pressure Analysis - Live DataVolume Pressure Gauge and Volume Percentage Indicator – Pine Script Guide This indicator provides a simplified, real-time visualization of both volume pressure (buy vs. sell activity) and today’s trading volume in comparison to historical averages. It is designed to help traders assess whether buyers or sellers dominate the current session and whether today’s volume is significant relative to recent behaviour. ________________________________________ Key Functional Segments 1. Inputs and Configuration Users can configure the length of the Simple Moving Average (SMA) used to calculate average volume, set the position of the gauge table on the chart, and toggle the visibility of the volume pressure display. This allows flexibility in integrating the tool with various trading styles and chart layouts. 2. Volume Data Calculations The indicator calculates three key volume metrics: • volToday: The current day’s volume. • volAvg: The average volume over the user-defined SMA period (default is 20 bars). • volPct: The current volume as a percentage of the average. This enables traders to quickly recognize whether current trading activity is above or below normal, which can be a precursor to potential trend strength or weakness. 3. Volume Pressure Calculation The script estimates buying and selling pressure based on price movement and volume. It distributes volume into upward (buy) and downward (sell) segments and expresses them as percentages of the total volume. This gives an immediate sense of whether bulls or bears are more active in the current session. 4. Visual Representation (Progress Bars) The indicator renders a simplified visual gauge using horizontal bar segments (pseudo-bars) to reflect the proportion of buy and sell pressure. The length of each bar correlates with the strength of pressure from buyers or sellers, helping users assess dominance without analyzing candlestick behavior in depth. 5. Table Display A compact table is drawn on the chart showing: • Buy pressure percentage and corresponding bar. • Sell pressure percentage and corresponding bar. • Volume percentage compared to the recent average. This format makes it easy to evaluate volume dynamics at a glance, without cluttering the price chart or relying on separate overlays. ________________________________________ How Traders Benefit from This Indicator • Momentum Shift Detection: Early signs of trend reversal can be observed when volume pressure flips direction. • Breakout Validation: High volume combined with dominant pressure supports the credibility of breakout moves. • False Move Avoidance: If price moves on low volume or mixed pressure, traders can avoid low-probability entries. • Market Context Awareness: Users can assess whether a day is behaving normally in terms of participation or is unusually quiet or aggressive. ________________________________________ Basic Usage Guide 1. Add the script to your TradingView chart and set your preferred SMA length for volume comparison. 2. Customize the table’s position using the X and Y settings for clarity and alignment. 3. Interpret the outputs: o A higher red bar indicates dominant sell pressure. o A higher green bar indicates dominant buy pressure. o Volume % above 100% suggests above-average activity, while values below 100% may imply low conviction. 4. Apply to trading decisions: o High buy pressure and high volume may indicate a strong long opportunity. o High sell pressure and high volume may support short setups. o Low volume or conflicting signals may call for caution. 5. Combine with other tools such as trend indicators, support/resistance zones, or price action patterns for more reliable trade setups. ________________________________________ Practical Example • Sell Pressure: 70% → Suggests strong seller control; potential for short setups. • Buy Pressure: 30% → Weak buying interest; long trades may carry risk. • Volume Percentage: 120% → Indicates a surge in participation; movement may have greater validity. ________________________________________ Tips for New Traders • Use this indicator as a confirmation tool rather than a standalone strategy. • Begin on higher timeframes (4-hour or daily) to develop familiarity. • Compare multiple examples to identify reliable patterns over time. • Always incorporate proper risk management, including stop losses. ________________________________________ Disclaimer from aiTrendview This indicator is intended solely for educational and informational use. It does not constitute investment advice, trade signals, or financial recommendations. aiTrendview and its affiliates are not liable for any trading losses incurred through use of this tool. All trading involves risk. Past performance of any indicator does not guarantee future results. Users should conduct independent research and consult with a certified financial advisor before making any trading decisions.
Pine Script® 인디케이터
aiTrendview-Charting-System의
1
Exchanges Combined Volume📊 Exchanges Combined Volume (Aggregated Multi-Exchange Volume: Binance, OKX, Bybit, etc.) by BIGTAKER* 🔍 Purpose The Exchanges Combined Volume indicator aggregates real-time trading volumes from multiple global exchanges for a specific asset (e.g., a cryptocurrency). Instead of relying on a single market, it provides a broader view of market activity, helping users detect abnormal volume behavior and increased participation across the entire market. ⚙️ Supported Exchanges * USDT Markets `Binance`, `OKX`, `Bybit`, `Bitget`, `Gate.io` * USD Markets `Coinbase`, `Bitfinex`, `Bitstamp` * Default Includes the current chart symbol’s native volume by default. 🧮 Core Calculation Logic 1. 📛 Symbol Normalization (cleanSymbol) Prefixes such as `1000`, `10000`, `100000`, or `1M` (common in leveraged tickers) are automatically removed to extract the base token. > Example: > `1000PEPEUSDT` → `PEPEUSDT` 2. 📈 Volume Requests from External Exchanges Volume is retrieved using the `` format (e.g., `'BINANCE:PEPEUSDT'`, `'COINBASE:BTCUSD'`). Invalid or delisted pairs are safely ignored using `ignore_invalid_symbol=true`. 3. 📊 Total Volume Calculation totalVolume = usdtVolume + usdVolume + currentSymbolVolume The indicator sums the volume from all target exchanges plus the volume from the current chart symbol. 4. 📏 Comparison to Average Volume * Period: `length = 60` (Simple Moving Average over 60 candles) * A candle is considered **high-intensity** if: 5. 🎨 Visual Styling | Condition | Color | Meaning | | -------------------------- | --------------------- | ----------------------- | | High-volume Bullish Candle | Light Green (#30db78) | Strong Buying Activity | | High-volume Bearish Candle | Bright Red (#ff0000) | Strong Selling Activity | | Normal Bullish Candle | Dark Green (#3c7058) | Regular Buying Volume | | Normal Bearish Candle | Dark Red (#682e2c) | Regular Selling Volume | 📌 Use Cases * Detect synchronized volume surges across major global exchanges. * Identify pre-pump accumulation phases on altcoins. * Combine with premium gap indicators (e.g., Kimchi Premium) to identify leading market sentiment. * Confirm breakout momentum with multi-exchange volume validation. 📘 Notes & Warnings * Listing differences across exchanges may result in **zero volume** on some platforms. * Prefixes like `1000`, `1M`, etc., are automatically removed to **improve symbol matching accuracy**. * As volume units are not standardized, this indicator is best suited for **absolute value analysis**, not ratio-based comparisons.
Pine Script® 인디케이터
BIGTAKER의
VSA-Stopping VolumeVSA Stopping Volume Indicator Stopping Volume occurs when candles show decreasing body sizes (narrow spreads) while volume steadily increases. Example chart: As you see: 3 consecutive candles in same direction (all green OR all red) Body sizes (spreads) decreasing progressively: Candle 1 > Candle 2 > Candle 3 Volume increasing progressively: Volume 1 < Volume 2 < Volume 3 This pattern indicates price absorption - increased buying/selling pressure but declining price movement, often signaling exhaustion and potential reversal. Indicator Features This indicator detects Stopping Volume candlestick clusters with two signal types: 🔹 BUY/SELL Signals: Generated when pattern occurs at support/resistance zones 🔹 Directional Alerts (▲-green, ▼-red): Generated when pattern occurs outside key levels Trading Guidelines: ⚠️ Auto-drawn S/R zones are reference only - manual level plotting recommended for accuracy 📊 Best for scalping: M5, M10, M15 timeframes 🛡️ Stop Loss: Place beyond the S/R zone you're trading 🎯 Take Profit: Based on your risk management Key Concept: Volume expansion + price contraction = potential reversal, especially at SnR levels. Perfect for scalpers looking to catch reversals at critical zones!
Pine Script® 인디케이터
dangtunglam14의
1
VOL & AVG OverlayCustom Session Volume Versus Average Volume Description: This indicator will create an overlay on your chart that will show you the following information: Custom Session Volume Average For Selected Session Percentage Comparison Options: Set Custom Time Frame For Calculations Set Custom Time Frame For Average Comparison Set Custom Time Zone Enable / Disable Each Value Change Text Color Change Background Color Change Table location Example: Set indicator to 30 period average. Set custom time frame to 9:30am to 10:30am Eastern/New York. When the time frame for the calculation is closed , the indicator will provide a comparison of the current days volume compared to the average of 30 previous days for that same time frame and display it as a percentage in the table. In this example you could compare how the first hour of the trading day compares to the previous 30 day's average, aiding in evaluating the potential volume for the remainder of the day. Notes: Times must be entered in 24 hour format. (1pm = 13:00 etc.) This indicator is for Intra-day time frames, not > Day. If you prefer data in this format as opposed to a plotted line, check out my other indicator: ADR & ATR Overlay
Pine Script® 인디케이터
abbadon9의
Volume Order Blocks [BigBeluga]Volume Order Blocks is a powerful indicator that identifies significant order blocks based on price structure, helping traders spot key supply and demand zones. The tool leverages EMA crossovers to determine the formation of bullish and bearish order blocks while visualizing their associated volume and relative strength. 🔵 Key Features: Order Block Detection via EMA Crossovers: Plots bullish order blocks at recent lows when the short EMA crosses above the long EMA. Plots bearish order blocks at recent highs when the short EMA crosses below the long EMA. Uses customizable sensitivity through the “Sensitivity Detection” setting to fine-tune block formation. Volume Collection and Visualization: Calculates the total volume between the EMA crossover bar and the corresponding high (bearish OB) or low (bullish OB). Displays the absolute volume amount next to each order block for clear volume insights. Percentage Volume Distribution: Shows the percentage distribution of volume among bullish or bearish order blocks. 100% represents the cumulative volume of all OBs in the same category (bullish or bearish). Order Block Removal Conditions: Bullish order blocks are removed when the price closes below the bottom of the block. Bearish order blocks are removed when the price closes above the top of the block. Helps maintain chart clarity by only displaying relevant and active levels. Midline Feature: Dashed midline inside each order block indicates the midpoint between the upper and lower boundaries. Traders can toggle the midline on or off through the settings. Shadow Trend: Shadow Trend dynamically visualizes trend strength and direction by adapting its color intensity based on price movement. 🔵 Usage: Supply & Demand Zones: Use bullish and bearish order blocks to identify key market reversal or continuation points. Volume Strength Analysis: Compare volume percentages to gauge which order blocks hold stronger market significance. Breakout Confirmation: Monitor block removal conditions for potential breakout signals beyond support or resistance zones. Trend Reversals: Combine EMA crossovers with order block formation for early trend reversal detection. Risk Management: Use OB boundaries as potential stop-loss or entry points. Volume Order Blocks is an essential tool for traders seeking to incorporate volume-based supply and demand analysis into their trading strategy. By combining price action, volume data, and EMA crossovers, it offers a comprehensive view of market structure and potential turning points.
Pine Script® 인디케이터
BigBeluga의
23