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Vestige Liquidity Terrain [JOAT]Vestige Liquidity Terrain Introduction The Vestige Liquidity Terrain is an open-source liquidity analysis indicator built in Pine Script v6. It detects, scores, and tracks liquidity zones — price levels where resting stop orders and limit orders tend to cluster — using pivot-based detection, volume-weighted intensity, a multi-factor scoring system, sweep tracking, and trade planning overlays. The indicator identifies where liquidity exists, how strong each zone is, whether it has been swept, and which zones are the most probable targets for price to reach next. Liquidity is the fuel that moves markets. Institutional traders need liquidity to fill large orders, and they often engineer price moves toward areas where stop orders are concentrated. Understanding where liquidity sits, how fresh it is, and whether it has confluence with key levels gives traders a significant edge in anticipating where price is likely to travel. Why This Indicator Exists Most liquidity zone indicators simply draw boxes at swing highs and lows. They treat all zones equally and provide no context about which zones matter most. This indicator goes further: Pivot-Based Zone Detection: Uses configurable left/right pivot bars to identify swing highs and lows where resting orders accumulate. Zones are padded by a tick-based distance to account for the cluster of stops around a level. Volume-Weighted Intensity: Each zone's creation is filtered by normalized volume. Only zones formed during meaningful volume activity are tracked, filtering out noise from thin-market pivots. Zone Merging: When a new pivot forms within a configurable tick distance of an existing zone, the zones are merged rather than stacked. This prevents redundant zones and reflects the reality that nearby levels form a single liquidity pool. Multi-Factor Scoring (0-100): Each zone receives a dynamic score based on touches, freshness, confluence with key levels, reaction speed, session alignment, and regime context. This score determines visual prominence and whether the zone qualifies as a trade planning target. Sweep Tracking: When price sweeps through a zone, the event is recorded. Swept zones receive a score penalty because their liquidity has been partially consumed. Trade Planning Targets: The nearest high-scoring zones above and below current price are highlighted as potential targets, with dashed lines extending forward and score labels. Zone Scoring System The scoring system is what separates this indicator from basic liquidity zone tools. Each zone's score is computed from multiple factors: Touch Score (max 60): Each time price touches a zone without sweeping it, the zone gains 12 points. More touches mean more orders have accumulated at that level. Capped at 60 to prevent over-weighting. Freshness (max 40): Newer zones score higher. The freshness component starts at 40 and decays by 0.8 points per bar of age. Old, stale zones that have not been tested lose relevance. Confluence (max 40): Proximity to key institutional levels adds 10 points each. The indicator checks confluence with Prior Day High, Prior Day Low, Prior Week High, Prior Week Low, VWAP, Opening Range High, and Opening Range Low. A zone that aligns with multiple key levels is significantly more important. Reaction Speed (max 22): The ratio of fast reactions (price bouncing within 2 bars of touching the zone) to total reactions. Zones that produce quick, sharp reactions are more likely to hold in the future. Session Alignment: The ratio of RTH (Regular Trading Hours) touches to overnight touches modifies the score. Zones tested during high-liquidity sessions carry more weight. Score modifiers are then applied: Recently swept zones receive a 0.55x multiplier — their liquidity is partially consumed Midday zones without confluence receive a 0.60x penalty — low-conviction levels Open Drive zones with few touches receive a 0.75x penalty — too early to confirm Power Hour zones with confluence receive a 1.10x boost — high-conviction late-session levels Trend-aligned zones receive a 1.05x boost Mean-reversion zones without confluence receive a 0.70x penalty Regime Detection The indicator includes its own regime detection engine based on VWAP slope analysis: Trend Up: VWAP slope exceeds the threshold AND price is at or above VWAP — directional momentum is present Trend Down: VWAP slope is below the negative threshold AND price is at or below VWAP Mean Reversion: VWAP slope is flat (within threshold) AND price is within a configurable band of VWAP — range-bound conditions Mixed: Conditions do not clearly fit any category The regime state feeds into the zone scoring modifiers. In a trending regime, zones aligned with the trend direction receive a boost. In mean-reversion conditions, zones without confluence are penalized because they are less likely to produce clean reactions. A confidence percentage is calculated for each regime classification, giving traders a sense of how clearly the market fits the detected state. Sweep Detection and Classification When price moves through a liquidity zone, the indicator records a sweep event: The sweep bar and price are stored for each zone A "SWEEP" label is placed on the chart with configurable display modes (Off, First Only, Recent Only) Swept zones receive a significant score penalty (0.55x multiplier) A cooldown prevents multiple sweep labels from stacking on adjacent bars The sweep price is tracked separately from the zone price, allowing analysis of how far price extended beyond the zone Sweeps are important because they represent liquidity being consumed. A zone that has been swept once still has some residual significance (remaining orders), but its primary liquidity pool has been tapped. Trade Planning Overlays The indicator identifies the nearest high-scoring zones above and below current price as potential targets: Only zones with scores above a configurable minimum (default 60) qualify as targets Target lines are drawn as dashed lines extending forward by a configurable number of bars Each target line includes a label showing the zone's score percentage This gives traders a clear view of where the nearest significant liquidity sits in each direction Visual Design The indicator uses a "Deep Ocean" color theme — bioluminescent aqua, deep ocean blue, coral orange, tidal cyan, kelp green, and pearl white on an abyssal dark background: Zone Boxes: Color reflects directional expectation (continuation vs rejection blend). Opacity adapts to distance from price, age, and score — nearby fresh high-score zones are more visible, distant old low-score zones fade. Border Width: Score-based — zones scoring 80+ get 3px borders, 50+ get 2px, others get 1px Sweep Labels: Coral-colored "SWEEP" labels at the sweep location Target Lines: Dashed lines in bioluminescent aqua (above) and coral (below) with score labels Key Levels: PDH/PDL, PWH/PWL drawn as reference lines with theme-aware colors Opening Range: ORH/ORL lines marking the first N minutes of the session VWAP: Plotted as a reference line for regime context HUD Dashboard The real-time HUD displays: Key level prices and distances: PDH, PDL, PDC, PWH, PWL, ORH, ORL Nearest liquidity targets above and below with scores Current regime state with confidence percentage Time-of-day classification (Open Drive, Midday, Power Hour, RTH, Off) Active zone count Input Parameters Zone Detection: Pivot Left/Right Bars: Lookback for swing detection (default: 5/3) Max Zones Stored: Maximum tracked zones (default: 20) Zone Padding: Tick-based padding around pivot levels (default: 6) Merge Distance: Tick distance for merging nearby zones (default: 10) Volume Filter: Minimum normalized volume for zone creation (Low/Mid/High) Zone Scoring: Min Score to Draw: Minimum score for a zone to be visible (default: 25) Max Visible Zones: Limit on simultaneously displayed zones (default: 10) Reaction Window: Bars to check for reaction after touch (default: 6) Reaction Move: Tick threshold for a valid reaction (default: 14) Fast Reaction: Maximum bars for a "fast" reaction classification (default: 2) Context: VWAP Slope Length: Lookback for regime detection (default: 20) Trend Slope Threshold: Minimum slope for trend classification Mean-Reversion Band: Maximum distance from VWAP for MR classification Time-of-Day periods: Open Drive, Midday, Power Hour boundaries Trade Planning: Min Score for Targets: Minimum zone score to qualify as a target (default: 60) Extend Bars: How far forward target lines extend (default: 200) How to Use This Indicator Step 1: Identify High-Score Zones Focus on zones with scores above 60. These have multiple touches, are relatively fresh, and have confluence with key levels. They represent the most significant liquidity pools. Step 2: Check the Regime In a trending regime, liquidity zones in the trend direction are more likely to be swept (taken out) as price reaches for stops. In mean-reversion conditions, zones are more likely to produce bounces. Step 3: Use Targets for Trade Planning The trade planning lines show you where the nearest significant liquidity sits. In a long trade, the target above is your potential take-profit area. The target below is where your stop might be hunted. Step 4: Watch for Sweeps When a zone is swept, its liquidity has been consumed. This often precedes a reversal as the institutional objective (filling orders) has been achieved. A sweep at a high-score zone with confluence is a particularly strong reversal signal. Step 5: Monitor Zone Lifecycle Zones are born, tested, and eventually swept or aged out. Fresh zones with rising touch counts are gaining significance. Old zones with no recent touches are losing relevance. The scoring system handles this automatically. Best Practices Liquidity analysis works best on instruments with reliable volume data and sufficient market depth Higher-timeframe zones (1H, 4H) tend to be more significant than lower-timeframe zones Zones with confluence (near PDH/PDL, PWH/PWL, VWAP) are significantly more reliable than isolated zones Not all sweeps lead to reversals — sometimes price sweeps through and continues. Confirm with other analysis. The regime detection helps contextualize zones but is not infallible. Use it as one input among many. Adjust the volume filter based on your instrument. Highly liquid instruments may need "High" to filter noise. Less liquid instruments may need "Low" to detect zones at all. The merge distance should be calibrated to your instrument's typical spread and tick size Limitations Pivot-based zone detection has an inherent delay equal to the right-bar lookback period The scoring system uses heuristics, not a statistical model. Scores indicate relative importance, not probability. Volume-based filtering requires reliable volume data. Forex volume from most brokers represents tick volume, not true exchange volume. Zone merging can occasionally combine zones that a manual analyst would keep separate The indicator tracks a maximum number of zones. In very active markets, older zones may be pruned before they are swept. Sweep detection is based on price crossing through the zone boundary. It does not distinguish between genuine institutional sweeps and random price fluctuations through a level. Time-of-day and session features are most relevant for instruments with clear session structures (equities, futures). 24-hour markets like crypto may benefit less from session-based scoring. Technical Implementation Built with Pine Script v6 using: 16 parallel arrays for comprehensive zone data tracking (price, type, touches, scores, reactions, etc.) Zone merging algorithm that consolidates nearby pivots into single liquidity pools Multi-factor scoring function with session, regime, and time-of-day modifiers Distance-based and age-based visual fading for clean chart presentation Score-based border width for visual hierarchy Directional expectation coloring (continuation vs rejection blend) VWAP slope-based regime detection with confidence calculation Trade planning line management with score-filtered target identification Sweep tracking with cooldown and configurable display modes Alert conditions for sweeps, regime changes, and high-score zone creation Originality Statement This indicator is original in its comprehensive liquidity zone lifecycle management. While pivot-based zone detection exists in other scripts, this indicator is justified because: The multi-factor scoring system (touches, freshness, confluence, reaction speed, session alignment, regime modifiers) provides a quantified assessment of zone significance not available in basic zone indicators Zone merging prevents the visual clutter of overlapping zones at similar price levels Sweep tracking with score penalties creates a dynamic zone lifecycle — zones are born, tested, scored, swept, and aged out Regime-aware scoring modifiers adjust zone significance based on current market conditions Time-of-day integration (Open Drive, Midday, Power Hour) reflects the reality that liquidity behavior changes throughout the trading session Trade planning overlays with score-filtered targets provide actionable forward-looking information The Deep Ocean theme provides intuitive visual hierarchy where zone importance is immediately apparent from color intensity and border width 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. Liquidity zone analysis identifies areas of probable order concentration based on historical price behavior — it does not predict future price movement. Zones can be swept without reversing, and high-score zones can fail. Past liquidity patterns do not guarantee future behavior. Always use proper risk management and never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made by officialjackofalltrades
Pine Script®指標
由officialjackofalltrades提供
Kalman Volume Trend [BigBeluga]🔵 OVERVIEW Kalman Volume Trend is an advanced trend-following system that combines the predictive power of a Kalman Filter with real-time volume delta analysis. Unlike standard moving averages that suffer from significant lag, the Kalman Filter uses a recursive mathematical algorithm to estimate the "true" trend by filtering out market noise. The indicator not only identifies directional regimes but also visualizes the intensity of buying and selling pressure directly on the trend line, providing a multi-dimensional view of market conviction. 🔵 CONCEPT Kalman Filter Logic — A state-space model that predicts price movement and then corrects itself based on new data, resulting in a smoother yet more responsive trend line than traditional EMAs. Adaptive ATR Bands — The trend direction is determined by price breaking through volatility-adjusted bands, reducing whipsaws in sideways markets. Volume-Weighted Trend Lines — The indicator plots "Volume Bars" extending from the trend line, where the length and color represent the relative strength of the volume delta. Cumulative Trend Statistics — It tracks the total buy volume, sell volume, and net delta from the exact moment a new trend begins. 🔵 HOW IT WORKS (IN-DEPTH) 1️⃣ The Kalman Filtering Process The script utilizes two primary parameters: Process Noise (Q) and Measurement Noise (R) . It calculates a "State Estimate" (the trend) by balancing its previous prediction against the current price. If the price is "jittery" (high R), the filter smooths the line; if the trend is moving decisively (low Q), it tracks the price more aggressively. 2️⃣ Trend Direction & Volatility Bands Two bands are projected around the Kalman line based on a multiplier of the Average True Range (ATR) . A Bullish trend is triggered when price closes above the upper band. A Bearish trend is triggered when price closes below the lower band. Once a trend is established, the opposite band acts as the trailing "Trend Line" to provide a clear buffer for price fluctuations. 3️⃣ Volume Delta Visualization Small vertical candles ("Volume Bars") are plotted along the trend line. These bars represent the Normalized Volume Delta (Close vs. Open and Volume intensity). Large bars indicate high-conviction participation, while small bars suggest waning interest or consolidation. 4️⃣ Extreme Volume & Cumulative Dashboard When volume exceeds 1.5x its recent average, an "X" label appears on the chart to mark an Exhaustion or Ignition point. A bottom-right dashboard displays a vertical histogram showing the balance of power (BUY vs. SELL vs. DELTA) for the current trend only . 🔵 KEY FEATURES Recursive Kalman Algorithm: High-accuracy trend tracking with minimal lag. Integrated Volume Profiling: See volume delta without needing a separate sub-window. Dynamic Trend Dashboard: Automatically resets at every trend flip to show fresh volume stats. Volatility-Aware: Uses 200-period ATR to ensure bands adapt to changing market conditions. Volume Extreme Alerts: Identifies high-volume spikes that often precede trend reversals. 🔵 DASHBOARD METRICS BUY — Total volume accumulated on bullish candles since the trend started. SELL — Total volume accumulated on bearish candles since the trend started. DELTA — The net difference between buying and selling pressure. TOTAL VOLUME — The total "fuel" spent during the current directional regime. 🔵 HOW TO USE Riding the Trend: Stay in the trade as long as the Kalman line color remains consistent. Spotting Weakness: If the Kalman line is Bullish (Blue) but the Volume Bars are consistently negative or shrinking, the trend may be losing steam. High-Volume Breakouts: Look for the "X" labels at the start of a trend shift; this confirms institutional participation in the new direction. Dashboard Confirmation: Use the vertical histogram to confirm if the buyers or sellers are truly in control during a pullback to the trend line. 🔵 CONCLUSION Kalman Volume Trend offers a sophisticated approach to trend analysis by merging high-level signal processing with raw volume data. By focusing on "clean" price data and weighting it with volume delta, it helps traders filter out market noise and focus on high-conviction movements.
Pine Script®指標
由BigBeluga提供
7
PG Premium - Master Volatility HubHow to Interpret & Trade the Signals 1. The Volatility Squeeze (Preparation Phase) Signal: Histogram bars turn Orange. Meaning: The market is coiling. Range is < 70% of the average. Action: Do not enter yet. This is the "loading" phase. Watch for which side the breakout occurs. 2. High-Conviction Bullish Breakout (Buy Signal) Signal: A Royal Blue bar appears + Green Line (Crossover) climbs above 1.0. Meaning: The squeeze has released to the upside with institutional volume. Action: Potential Long entry. Place stop-loss at the low of the previous Orange squeeze zone. 3. High-Conviction Bearish Breakdown (Sell Signal) Signal: A Pure Black bar appears + Green Line (Crossover) climbs above 1.0. Meaning: Aggressive selling has entered the market. Action: Potential Short entry. Place stop-loss at the high of the recent consolidation. 4. The "Hollow" Trap (Warning Signal) Signal: Price moves significantly, but the bar is Dark Gray. Meaning: This is a "low-fuel" move. Price is expanding, but volume is below the 1.2x threshold. Action: Exercise caution. These moves often result in "v-shape" reversals or fake-outs. Pro-Trading Tips The Volatility Regime (Red Line): If the Red Line is rising above 1.0, the market is becoming generally more volatile. Expect wider swings and consider wider stop-losses. If it is below 1.0, the market is in a "quiet regime"—breakouts may be smaller. The "Double Confirmation": The most powerful trades happen when a Blue/Black bar appears exactly as the Green Line crosses the 1.0 level from below. This confirms that both the single-bar range and the multi-bar average are expanding at the same time. Suggested "Release Note" Summary for Users "For best results, use this on the 1H or 4H timeframes to filter out intraday noise. This indicator does not predict direction—it identifies Conviction. Always align the Blue/Black signals with your existing trend-following strategy or key Support/Resistance levels."
Pine Script®指標
由ipuneet提供
Volume Dispersion Field [JOAT]Volume Dispersion Field Introduction The Volume Dispersion Field is an open-source non-overlay indicator that provides a comprehensive volume analysis suite combining relative volume classification, buy/sell delta tracking, volume dispersion measurement, climax detection, volume profile calculation, smart money activity analysis, and anomaly detection. Rather than showing a simple volume histogram, this indicator dissects volume into multiple analytical layers that reveal who is participating, how aggressively, and whether the activity is normal or anomalous. Built with Pine Script v6, the indicator uses custom types for volume state, delta state, dispersion bins, profile data, smart money state, and volume pulse tracking. Why This Indicator Exists Standard volume indicators show a single bar per candle. This tells you how much volume occurred but not who was buying or selling, whether the volume is unusual, or how volume is distributed across the price range. This indicator addresses those gaps by providing: Seven-tier volume classification: Categorizes each bar from Extreme Low to Extreme High relative to the moving average, giving immediate context about whether current activity is normal or exceptional Delta analysis: Estimates buying and selling volume using candle structure, then calculates smoothed delta and cumulative delta to show the net direction of volume pressure Volume dispersion: Measures how volume is distributed between the upper and lower halves of the recent price range, revealing whether volume is concentrated at highs (distribution) or lows (accumulation) Climax detection: Identifies volume spikes that exceed a configurable threshold, often marking exhaustion points or the start of major moves Smart money analysis: Tracks institutional-sized volume activity and classifies the market phase as Accumulation, Markup, Distribution, or Markdown Anomaly detection: Uses Z-score analysis to flag statistically unusual volume events that may indicate institutional intervention Core Components Explained 1. Volume Classification System Every bar is classified into one of seven categories based on its ratio to the volume moving average: volMA = ta.sma(volume, volMaLength) volRatio = volume / volMA Extreme High (>= 3.0x): Institutional-level activity, potential climax High (>= 2.0x): Significant above-average interest Above Average (>= 1.0x): Healthy participation Average (>= 0.5x): Normal market conditions Below Average (>= 0.25x): Reduced interest Low (< 0.25x): Thin liquidity, potential for slippage Extreme Low: Minimal activity Each category is color-coded with a distinct color from the Quantum Volume palette, making it instantly visible which bars carry institutional weight and which are retail noise. The high and low volume multiplier thresholds are fully configurable. 2. Delta Analysis The delta engine estimates buying and selling volume by analyzing candle structure. For a bullish candle (close > open), buying volume is estimated as the proportion of the candle range from low to close, multiplied by total volume: if close > open buyVol := volume * (close - low) / (high - low + 0.0001) sellVol := volume - buyVol else if close < open sellVol := volume * (high - close) / (high - low + 0.0001) buyVol := volume - sellVol The raw delta (buyVol - sellVol) is smoothed with an EMA and also accumulated over a configurable period to produce cumulative delta. Rising cumulative delta with rising price confirms bullish conviction. Falling cumulative delta with rising price warns of hidden distribution. The indicator also detects delta divergences — when price moves in one direction but delta moves in the opposite direction over a 10-bar window. These divergences are marked with cross symbols on the chart. The Volume Dispersion Field panel showing color-coded volume bars, delta histogram, cumulative delta line, and smart money accumulation/distribution arrows with the dashboard displaying all metrics 3. Volume Dispersion Measurement Dispersion quantifies how volume is distributed between the upper and lower halves of the recent price range. Over the dispersion lookback period (default 50 bars), the indicator sums volume for bars that closed in the upper half versus the lower half: Positive dispersion (> 20): Volume is concentrated in the upper range — bullish bias, potential distribution if extended Negative dispersion (< -20): Volume is concentrated in the lower range — bearish bias, potential accumulation if extended Near zero: Volume is balanced across the range — no clear directional bias Dispersion is plotted as a filled area chart, providing a visual representation of where the volume weight sits within the price range. 4. Volume Profile and POC The indicator calculates a simplified volume profile by dividing the recent price range into configurable bins (default 10) and summing volume in each bin. From this profile, it derives: Point of Control (POC): The price level with the highest volume — acts as a magnet for price Value Area High (VAH): Upper boundary of the 70% volume concentration zone Value Area Low (VAL): Lower boundary of the 70% volume concentration zone The profile type is classified as Normal (balanced), Imbalanced (narrow value area, directional), or Ranged (wide value area, consolidation). 5. Smart Money and Anomaly Detection The smart money engine analyzes volume distribution across the price range over a 50-bar window. If significantly more volume occurs in the lower 30% of the range while price is below its 50-period SMA, the indicator classifies the phase as Accumulation. If more volume occurs in the upper 30% while price is above the SMA, it classifies as Distribution. Anomaly detection uses Z-score analysis: volState.zScore := (volume - volMA) / (volStdDev + 0.0001) volState.isAnomaly := math.abs(volState.zScore) > anomalyThreshold Volume events with Z-scores exceeding the threshold (default 3.0 standard deviations) are flagged as anomalies and marked with diamond symbols. These statistically rare events often indicate institutional intervention or major news-driven activity. 6. Market Phase Classification The indicator classifies the current market phase based on the combination of price direction and volume trend: Markup: Price rising + volume rising — healthy uptrend Distribution: Price rising + volume falling — potential top forming Accumulation: Price falling + volume rising — smart money buying the dip Markdown: Price falling + volume falling — healthy downtrend Visual Elements Volume Histogram: Color-coded bars by classification tier Volume MA Line: 20-period moving average of volume High/Low Volume Bands: Reference bands at the high and low multiplier levels with fill Delta Histogram: Smoothed buy/sell delta with gradient coloring Cumulative Delta Line: Running sum of delta over configurable period Dispersion Area: Filled area showing volume distribution bias Climax Markers: Triangle markers for buy and sell climax events Anomaly Markers: Diamond markers for statistically unusual volume Smart Money Arrows: Accumulation (up arrow) and Distribution (down arrow) signals Volume Pulse: Circle markers when volume exceeds the pulse threshold Heatmap Background: Subtle background coloring based on volume intensity Dashboard: 14-row metrics table showing volume category, anomaly status, phase, delta direction, dispersion, and more Close-up of the dashboard showing volume classification as "HIGH", phase as "Markup", delta as "BULLISH" with "BUY SIDE" flow, and an anomaly detection reading Input Parameters Volume Analysis: Volume MA Length (default 20) High Volume Multiplier (default 2.0) and Low Volume Multiplier (default 0.5) Delta Analysis: Delta Smoothing (default 3) Cumulative Delta Length (default 20) Dispersion Settings: Dispersion Lookback (default 50) and Dispersion Bins (default 10) Climax Detection: Climax Threshold (default 2.5) and Climax Lookback (default 50) Advanced Volume: Smart Money Concepts, Institutional Activity, Volume Anomalies toggles Anomaly Threshold (default 3.0 std dev) Volume Pulse toggle and Pulse Threshold (default 1.5) Visual Settings: Volume Profile, Dashboard, Glow Effects, Heatmap toggles Profile Width and Color Scheme (Quantum, Classic, Professional, Neon) How to Use This Indicator Step 1: Monitor the volume classification. Extreme High and High bars deserve attention — they indicate institutional participation. Consecutive high-volume bars in one direction confirm conviction. Step 2: Check the delta direction. Bullish delta with rising price confirms the move. Bearish delta with rising price (divergence) warns of potential reversal. Step 3: Watch for climax events. A buy climax (extreme volume + bullish candle) at a resistance level may signal exhaustion. A sell climax at support may signal capitulation. Step 4: Monitor the market phase. Accumulation phases often precede significant upward moves. Distribution phases often precede declines. Step 5: Pay attention to anomaly markers. These statistically rare volume events often mark turning points or the start of major institutional campaigns. Step 6: Use dispersion to understand volume positioning. Positive dispersion (volume at highs) during an uptrend is healthy. Positive dispersion during a downtrend suggests distribution. Indicator Limitations Delta estimation uses candle structure as a proxy for actual order flow. It is an approximation, not true Level 2 data. Volume analysis works best on instruments with reliable, consistent volume data. Forex spot volume from brokers is tick volume, not true exchange volume. Anomaly detection assumes volume follows a roughly normal distribution. During earnings seasons or major events, multiple "anomalies" may fire in succession. The volume profile is a simplified calculation using close prices, not a tick-by-tick profile. It provides a useful approximation but not exchange-grade precision. Smart money phase classification is based on volume distribution patterns, not on actual institutional order data. Climax detection identifies extreme volume events but does not predict the direction of the subsequent move. Originality Statement This indicator is original in its comprehensive, multi-layer approach to volume analysis. While individual volume tools exist, this indicator is justified because: It combines seven distinct volume analysis methodologies (classification, delta, dispersion, profile, climax, smart money, anomaly) into a unified system Z-score-based anomaly detection provides a statistical framework for identifying unusual volume that simple threshold methods miss Market phase classification (Accumulation/Markup/Distribution/Markdown) adds a Wyckoff-inspired context layer to raw volume data Volume dispersion measurement quantifies the spatial distribution of volume across the price range, a metric not available in standard volume indicators The delta divergence detection system identifies hidden disagreements between price and volume pressure The comprehensive dashboard presents 14 metrics simultaneously for holistic volume analysis 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. Volume analysis is a tool for understanding market participation, not a crystal ball for predicting future price movement. Always use proper risk management. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
Pine Script®指標
由officialjackofalltrades提供
Geass SRV - Support Resistance VolumeGeass SRV - Support Resistance Volume by MasterTony Volume profile engine adapted from Zeiirman's work — used with respect and full credit. Most indicators tell you where price is. This one tells you where the market lives. The Support Band + Volume Profile is built around a single idea: price gravitates toward zones where real participation has happened, and it respects dynamic boundaries defined by the market's own momentum structure. This indicator surfaces both at once — a trend-adaptive zone on price and the volume history behind it. How It's Calculated Trend Direction (ADX + 200 SMA) Market direction is read continuously using the DMI system — DI+ vs DI− for directional dominance, with the 200 SMA as a tiebreaker when they are equal. There is no neutral state. The indicator always commits to bull or bear, and all colors and zone behavior follow from that. The Support Band (SMA 20 / EMA 21) The innermost layer is a filled zone between the 20-period SMA and the 21-period EMA. These two averages are nearly identical in length but calculated differently, so the gap between them stays tight — producing a precise dynamic level rather than a wide smear. This is the mean of the recent trend. In a bull market it is the floor price returns to on pullbacks. In a bear market it is the ceiling price fails at on rallies. Green in a bull trend, red in a bear trend. The Kijun Band — Main Trend Support and Resistance The outer layer is the primary structural boundary of the indicator. The Kijun-Sen and Tenkan-Sen form a filled zone that acts as the main dynamic support in uptrends and the main dynamic resistance in downtrends, derived from Ichimoku Cloud. When price holds above this band the trend is intact. When price breaks through it and cannot reclaim it, the trend is in trouble. Both lines adapt their lengths based on market conditions — compressing when momentum is strong and price is trending cleanly, expanding when conditions are weak or choppy. This means the boundary zone tightens in fast trends and widens when the market is uncertain, automatically adjusting to the environment. The lines are colored cyan in a bull regime and magenta in a bear regime, keeping them distinct from the inner band at all times. The Kijun line within that band is the single most important level to watch. It is the baseline the trend must hold. Everything else in the indicator gives context to what happens at the Kijun. Volume Profile — Reading the Zones Volume profile engine adapted from Zeiirman's original work. The volume profile is drawn to the right of price covering the last 240 bars. It answers the question the bands cannot: how much real participation has happened at each price level. A band sitting on a high-volume node is structurally different from a band sitting in empty space. Point of Control (POC): The price level with the highest total volume — the market's center of gravity. When the POC aligns with the Kijun or the support band, that level is not just a moving average. It is a price the market has repeatedly chosen, making it the highest-conviction read the indicator can produce. Value Area: The central 68% of all volume, shown as the brightest bars on the profile. The edges of the Value Area are high-probability reaction levels. Price approaching from outside tends to stall at the boundary or accelerate into the core. When the band zone overlaps a Value Area edge, dynamic structure and volume history are stacked at the same level. Buy/Sell Split: Every row is divided between buying volume (green) and selling volume (red). When one side exceeds 60% it renders as a strong single color. This shows not just where volume was high — it shows who was in control. A dominant green node below price is demand. A dominant red node above is supply. Low Volume Gaps: Rows with very little volume are structural gaps. Price moves through them quickly with little friction and accelerates until it hits the next meaningful cluster. When the band sits at the edge of a gap, a break can be fast and directional. Freshness Fade: Recent volume glows brighter. Older volume fades. This prevents the profile from treating a level from 200 bars ago the same as one from yesterday. Price Pivot S/R Lines The last three swing highs and swing lows drawn as horizontal dashed lines — red for resistance, green for support. These are price memory. The exact levels where the market has previously reversed. Bollingerbands Custom Bollinger bands that can be toggled on to see outer lines of directional trend How to Read It The zone between the support band and the Kijun boundary is the core read. Green means the corridor is support — healthy pullbacks happen here. Red means it is resistance — rallies fail here. A tight narrow zone signals strong trend momentum. A wide zone signals a slower or more uncertain market. The Kijun line is the level that matters most. A pullback that holds above it and bounces is trend continuation. A close below it is a warning. A reclaim from below is the first sign of a potential reversal. Every trade setup built with this indicator lives or dies at the Kijun. The volume profile tells you whether the Kijun level carries real weight. A Kijun sitting on a large green volume node has been defended by buyers repeatedly — it has structural backing. A Kijun sitting in thin faded volume is unproven. When the POC and the Kijun are at the same price, that is the strongest signal this indicator can produce. Value Area edges add a second volume-based reference layer. Watch for the band or Kijun to overlap with the top or bottom of the Value Area — that is confluence of two independent structural forces at the same level. Pivot lines show the nearest price structure above and below. A green pivot just below the Kijun in a bull trend means two separate historical references are stacked — structural and volume-based support reinforce each other. How to Trade With It Bull Trend Pullback Band is green. Price pulls back into the support band or toward the Kijun. Check the volume profile — is there a high-volume green node or the POC near that level? If yes, the zone has volume backing. Wait for a reversal signal inside the zone. Enter long with a stop below the Kijun. The nearest green pivot below is your hard invalidation. Bear Trend Rally Band is red. Price rallies into the band or toward the Kijun. Check the volume profile — is there a high-volume red node or the POC near the Kijun? If yes, the resistance is volume-confirmed. Wait for rejection inside the zone. Enter short with a stop above the Kijun. The nearest red pivot above is your invalidation. Volume Gap Move When price breaks out of the band and enters a low-volume section of the profile, expect the move to accelerate. There is no structural resistance in that gap. Price will run until it hits the next meaningful volume cluster. Use the profile to identify where that cluster is and target it. Trend Change Warning When the band flips color, stop trading the previous direction. Wait for price to pull back and hold the newly-colored zone on a retest before entering the new direction. Check the POC — if it is already on the new direction's side of price, the flip has volume support and is more likely to hold. Confluence Filter The cleanest setups occur when everything agrees: band color matches the trade direction, price is testing the Kijun, the POC or a high-volume node is at or near that level, and a pivot line adds nearby structure. When all of that stacks at one price, the zone is as high-conviction as this indicator gets. Credits Volume profile engine — Gaussian volume distribution, buy/sell split, POC calculation, Value Area logic, and freshness fade — adapted from Zeiirman's original work. Full credit to Zeiirman for the foundation that powers the volume layer of this indicator.
Pine Script®指標
由MasterTonyTA提供
Signal Qualification Engine [JOAT]Signal Qualification Engine Introduction The Signal Qualification Engine is a sophisticated multi-layer signal filtering system designed to identify high-probability trading opportunities through comprehensive confluence analysis. This indicator solves the universal trading problem of signal quality - not all signals are created equal, and distinguishing between mediocre setups and high-probability opportunities is what separates successful traders from the crowd. By evaluating signals across trend, momentum, volume, and structure layers, this engine provides institutional-grade signal qualification that helps traders focus only on the best opportunities. This tool is built for traders who understand that edge in trading comes from the confluence of multiple factors rather than any single indicator. Whether you're a discretionary trader looking for confirmation, a systematic trader needing signal filtering, or an algorithm developer requiring quality scoring, this engine provides the comprehensive analysis needed to elevate your trading from random signals to systematic, high-quality setups. Why This Indicator Exists Most traders struggle with signal overload - too many signals, varying quality, and no systematic way to evaluate them. This indicator addresses that critical problem by: Multi-Layer Analysis: Evaluates signals across four independent analytical layers Quality Scoring: Provides objective, numerical quality scores for every signal Confluence Detection: Identifies when multiple factors align for high-probability setups Risk/Reward Validation: Ensures signals offer adequate profit potential relative to risk Premium Signals: Flags exceptional setups with maximum confluence Visual Zones: Shows entry zones, stop levels, and targets for clear risk management The engine transforms subjective signal evaluation into an objective, systematic process that can be consistently applied across all market conditions and instruments. Core Components Explained 1. Trend Analysis Layer The trend layer evaluates the directional bias using multiple trend indicators: // Trend scoring int trend_bull_score = 0 int trend_bear_score = 0 // Moving average analysis if price_above_fast_ma trend_bull_score += 1 if price_above_slow_ma trend_bull_score += 1 if ma_bullish_cross trend_bull_score += 1 // ADX analysis if adx > i_adx_thresh trend_bull_score += plus_di > minus_di ? 2 : 0 trend_bear_score += minus_di > plus_di ? 2 : 0 Trend components: Price vs MAs: Position relative to fast and slow moving averages MA Crossovers: Recent trend changes and confirmation ADX Strength: Trend strength above threshold (default 25) Directional Movement: +DI vs -DI for trend direction Trend Score: Cumulative trend strength (0-5 points) The trend layer ensures we only trade in the direction of the established trend or during trend changes with confirmation. 2. Momentum Analysis Layer Momentum is evaluated through multiple oscillators to ensure optimal timing: // Momentum scoring int momentum_bull_score = 0 int momentum_bear_score = 0 // RSI analysis if rsi > 50 and rsi < 70 and rsi > rsi momentum_bull_score += 1 if rsi < 50 and rsi > 30 and rsi < rsi momentum_bear_score += 1 // Stochastic analysis if stoch_k > stoch_d and stoch_k < 80 momentum_bull_score += 1 if stoch_k < stoch_d and stoch_k > 20 momentum_bear_score += 1 // MACD analysis if macd_hist > 0 and macd_hist > macd_hist momentum_bull_score += 1 if macd_hist < 0 and macd_hist < macd_hist momentum_bear_score += 1 Momentum components: RSI Direction: Momentum direction with overbought/oversold filters Stochastic Crossovers: Entry timing with extreme level avoidance MACD Histogram: Trend acceleration and deceleration Momentum Score: Cumulative momentum strength (0-3 points) Divergence Detection: Price/momentum divergences for early signals The momentum layer ensures we enter when momentum supports our directional bias. 3. Volume Analysis Layer Volume confirms the strength and conviction behind price movements: // Volume analysis float vol_sma = ta.sma(volume, 20) float vol_ratio = vol_sma > 0 ? volume / vol_sma : 1.0 bool above_avg_vol = volume > vol_sma * 1.2 bool high_vol_session = session_vol_ratio > 1.5 // Volume scoring int volume_score = 0 if above_avg_vol volume_score += 1 if high_vol_session volume_score += 1 if vol_ratio > 1.5 volume_score += 1 Volume components: Volume Ratio: Current volume relative to 20-period average Above Average Volume: Confirms signal strength (20% above average) Session Volume Analysis: Compares current volume to historical session averages Volume Score: Cumulative volume confirmation (0-3 points) Volume Spike Detection: Exceptional volume that may signal institutional activity The volume layer ensures signals have sufficient participation to be reliable. 4. Structure Analysis Layer Structure identifies key levels where professional traders place orders: // Structure analysis float swing_high = ta.pivothigh(high, i_swing_left, i_swing_right) float swing_low = ta.pivotlow(low, i_swing_left, i_swing_right) bool near_resistance = math.abs(close - nearest_resistance) / close * 100 < i_level_proximity bool near_support = math.abs(close - nearest_support) / close * 100 < i_level_proximity bool sweep_high = high > nearest_resistance and close < nearest_resistance bool sweep_low = low < nearest_support and close > nearest_support Structure components: Swing Points: Key highs and lows defining market structure Level Proximity: Distance to nearest support/resistance Liquidity Sweeps: Price moves beyond levels that quickly reverse Break of Structure: Confirms trend changes Structure Score: Cumulative structural confirmation (0-3 points) The structure layer ensures entries occur at technically significant levels. 5. Signal Qualification System All layers combine to produce a comprehensive qualification score: // Total scores (max 14) int bull_total = ( trend_bull_score + momentum_bull_score + volume_score + structure_score + (near_support ? 1 : 0) + (sweep_low ? 1 : 0) + (rr_ratio >= i_min_rr ? 1 : 0) ) int bear_total = ( trend_bear_score + momentum_bear_score + volume_score + structure_score + (near_resistance ? 1 : 0) + (sweep_high ? 1 : 0) + (rr_ratio >= i_min_rr ? 1 : 0) ) Qualification criteria: Trend Score (0-5 points): Directional bias strength Momentum Score (0-3 points): Timing confirmation Volume Score (0-3 points): Participation confirmation Structure Score (0-3 points): Level confirmation Level Proximity (1 point): Entry at key level Liquidity Sweep (1 point): Institutional activity Risk/Reward (1 point): Adequate profit potential Maximum Score: 14 points for perfect confluence 6. Quality Grading System Signals are graded based on their qualification score: // Quality grades string bull_grade = bull_total >= 12 ? "A+" : bull_total >= 10 ? "A" : bull_total >= 8 ? "B" : bull_total >= 6 ? "C" : "D" string bear_grade = bear_total >= 12 ? "A+" : bear_total >= 10 ? "A" : bear_total >= 8 ? "B" : bear_total >= 6 ? "C" : "D" Grade meanings: A+ (12-14 points): Exceptional setup with maximum confluence A (10-11 points): High-quality setup with strong confluence B (8-9 points): Good setup with moderate confluence C (6-7 points): Acceptable setup with basic confluence D (0-5 points): Weak setup, avoid trading Only B-grade and above signals are typically considered for trading. 7. Risk/Reward Validation Each signal is validated for adequate profit potential: // Risk/Reward calculation float atr_val = ta.atr(14) float stop_distance = atr_val * i_stop_mult float target_distance = atr_val * i_target_mult float rr_ratio = target_distance / stop_distance // RR validation bool valid_rr = rr_ratio >= i_min_rr RR features: ATR-Based Stops: Dynamic stop placement based on volatility Multiple Targets: Primary and secondary profit targets Minimum RR Ratio: Configurable minimum (default 1.5:1) RR Validation: Signals without adequate RR are disqualified Visual Targets: Clear stop and target levels on chart Visual Elements Signal Markers: Clear entry signals with quality grades Entry Zones: Shaded areas showing optimal entry regions Risk Levels: Visual stop loss and target levels Quality Meter: Real-time confluence score display Background Colors: Signal strength background shading Dashboard: Comprehensive metrics panel Premium Signals: Special markers for A+ grade setups The dashboard displays: 1. Current signal qualification scores 2. Quality grades and confluence percentages 3. Individual layer scores (trend, momentum, volume, structure) 4. Risk/Reward ratio and validation status 5. Nearest support/resistance levels 6. Volume analysis and session context 7. Signal cooldown status 8. Premium signal indicators Input Parameters Trend Settings: Fast MA Period: Short-term trend (default: 21) Slow MA Period: Medium-term trend (default: 55) ADX Period: Trend strength (default: 14) ADX Threshold: Minimum trend strength (default: 25) Momentum Settings: RSI Period: Momentum oscillator (default: 14) Stochastic K/D: Entry timing (default: 14/3) MACD Fast/Slow/Signal: Trend acceleration (default: 12/26/9) Structure Settings: Swing Left/Right: Pivot point detection (default: 10/5) Level Proximity %: Distance to key levels (default: 0.5%) Max Levels: Maximum swing levels to track (default: 20) Qualification Settings: Minimum Score: Required qualification score (default: 6) Signal Cooldown: Bars between signals (default: 5) Minimum R:R: Required risk/reward ratio (default: 1.5) Require Confirmation: Wait for bar close (default: true) How to Use This Indicator Step 1: Monitor Signal Quality Watch for B-grade or higher signals. A-grade signals offer the highest probability but occur less frequently. Focus on quality over quantity - one A-grade signal is worth ten C-grade signals. Step 2: Verify Layer Alignment Check the dashboard to see which layers are contributing to the signal. The best signals have confirmation from all four layers (trend, momentum, volume, structure). Step 3: Assess Risk/Reward Ensure the signal offers adequate profit potential. The indicator automatically validates RR ratios, but you should manually verify that targets make sense in the current market context. Step 4: Time Entry with Structure Use the entry zones and structure levels to time your entry precisely. The best entries occur when price is near key support/resistance levels or after liquidity sweeps. Step 5: Manage Risk Dynamically Use the visual stop and target levels as guidelines, but adjust based on your personal risk tolerance and account size. Never risk more than you're comfortable losing. Step 6: Track Premium Signals Pay special attention to A+ grade premium signals. These rare setups with maximum confluence often lead to the largest moves and deserve larger position sizes. Best Practices Be patient for A-grade signals rather than forcing mediocre trades Use the qualification score as your primary filter - ignore signals below your minimum threshold Combine with your own analysis for additional confirmation Adjust the minimum score based on market conditions - higher in choppy markets, lower in strong trends Keep a trade journal to track which grade performs best in each market condition Use the cooldown period to avoid overtrading - quality signals require patience Pay attention to volume confirmation - signals without volume support often fail Structure is key - signals at major levels have higher success rates Liquidity sweeps provide high-probatility reversal opportunities Always respect the risk/reward validation - poor RR setups destroy accounts Strategy Integration This indicator is designed to enhance any trading system: Use as a signal filter for existing strategies Import quality scores to weight trade decisions Combine with trend-following systems for entry timing Use structure levels for stop placement in other systems Integrate volume analysis for signal confirmation Apply risk/reward validation to all trades Use premium signals as standalone trade opportunities Export layer scores for custom signal development The indicator includes 12 export functions for integration: Bull/Bear Score Export: Total qualification scores Quality Grade Export: Letter grade as numeric value Trend Score Export: Trend layer score Momentum Score Export: Momentum layer score Volume Score Export: Volume layer score Structure Score Export: Structure layer score RR Ratio Export: Current risk/reward ratio Signal Export: Binary signal output Premium Signal Export: A+ grade signal flag Technical Implementation Built with Pine Script v6 featuring: Multi-layer signal analysis across four independent systems Dynamic qualification scoring with configurable weights Advanced market structure detection with pivot points Volume analysis with session context Risk/reward validation with ATR-based calculations Comprehensive visualization with entry zones and risk levels Real-time dashboard with 12 key metrics Alert conditions for all signal types and grades Export functions for strategy integration Premium signal detection for exceptional setups The code uses confirmed bars for all calculations to prevent repainting and ensure reliable signals. Originality Statement This indicator is original in its comprehensive approach to signal qualification and multi-layer confluence analysis. While individual components (RSI, MACD, ADX, etc.) are established tools, this indicator is justified because: It synthesizes four distinct analytical layers into a unified qualification system The scoring system provides objective, numerical signal evaluation Quality grading transforms subjective analysis into systematic decision-making Risk/reward validation ensures only profitable setups are considered Structure analysis integration provides context for market microstructure Volume layer adds confirmation often missing from signal systems Premium signal detection identifies exceptional opportunities Comprehensive visualization makes complex analysis accessible Export functions enable integration with any trading system Each layer contributes unique insights: trend provides direction, momentum provides timing, volume provides confirmation, and structure provides context The indicator's value lies in transforming signal evaluation from art to science - providing traders with a systematic, objective way to identify and focus only on the highest probability trading opportunities. 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. Signal qualification is a tool for improving trade selection, not a guarantee of success. Even high-quality signals can fail due to unexpected market events, news, or changes in market conditions. Past performance of high-grade signals does not guarantee future results. The indicator's signals are mathematical calculations based on historical patterns and should be used in conjunction with proper risk management. Always use stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose on any single trade, regardless of signal quality. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this system. -Made with passion by officialjackofalltrades
Pine Script®指標
由officialjackofalltrades提供
Volume Spread Analysis IQ [TradingIQ]Hello Traders! 🔹Volume Spread Analysis IQ This indicator was most voted on for our indicator competition - so here it is! Hope you guys like it :D Volume Spread Analysis IQ is a chart-reading tool built to help traders judge effort, result, and background context in a way that is visual and practical. Instead of forcing you to interpret volume and spread in isolation, this indicator organizes what the bar is doing into a readable structure so you can quickly see when the market is showing: low participation high participation narrow or wide spread potential hidden strength potential hidden weakness contextual VSA signals such as No Demand, No Supply, Upthrusts, Shakeouts, and Stopping Volume 🔹Why Effort vs Result Matters in Volume Spread Analysis The following information is relevant to VSA interpretation. In any market, price movement is the visible outcome of an underlying battle between buyers and sellers. Volume represents the effort being applied in that battle, while the spread of the candle reflects the result of that effort. When effort and result move together, the market is behaving efficiently. High effort producing a large price move suggests strong conviction and participation. In trending conditions this often confirms that the dominant side of the market is still in control. However, when effort and result begin to diverge, it can reveal hidden information about what is happening beneath the surface. For example: High effort with very little upward progress may indicate that strong selling pressure is absorbing buyers. Even though buyers are active, their effort is not producing meaningful results. This type of imbalance can appear before weakness develops. Likewise, high effort with very little downward progress can signal that sellers are being absorbed by hidden demand. Large amounts of selling activity fail to push price lower, suggesting accumulation may be taking place. Low effort situations are also informative. A rally with very low effort often lacks participation and can signal weak demand, while a selloff with very little effort can suggest that selling pressure is fading. From a structural perspective, the effort/result relationship helps traders distinguish between moves driven by genuine participation and moves that occur simply because the market is temporarily thin. This distinction can be important when evaluating breakouts, pullbacks, or potential reversals. In short, effort tells you how hard the market is trying to move, while result tells you how successful that attempt actually was. When these two fall out of balance, it often reveals shifts in supply and demand before they become obvious on price alone. 🔹What the indicator shows🔹 🔸Background bias Each candle is tinted to reflect the recent VSA background. This helps you judge whether the market is currently leaning strong, weak, or neutral based on the recent flow of bullish and bearish evidence. 🔸Effort vs. Result view The lower panel converts both volume and spread into easy-to-read rankings from 1 to 10. Effort represents how active the market is. Result represents how much price actually moved. 🔸Per-candle labels Optional candle labels show a simple readout for each bar: R = Result rank E = Effort rank 🔸Effort vs. Result summary table A live table on the chart shows the current effort rank, result rank, and the current interpretation of their relationship. 🔸Key VSA event markers The script marks classic VSA conditions directly on the chart when they appear in the proper context: No Demand No Supply Upthrust Shakeout Stopping Volume 🔹How to read it Effort asks: How much activity came into this bar? Result asks: How much did price actually move? Background asks: Is recent behavior supporting strength or weakness? This combination helps separate bars that look dramatic from bars that are actually meaningful. For example: High effort with poor upward result can hint that buying is struggling High effort with poor downward result can hint that selling is being absorbed Low effort rallies can warn of weak demand Low effort selloffs can suggest supply is drying up 🔹Signal overview No Demand Highlights weak upward bars with low participation. No Supply Highlights weak downward bars where selling pressure appears limited. Upthrust Marks a rejection bar that appears in weak background conditions and can warn of downside risk. Shakeout Marks a lower rejection bar that appears in strong background conditions and can suggest bullish intent. Stopping Volume Flags heavy selling activity that may be halting a move lower. Context matters. In strong background it can be bullish. In weak background it can simply pause price before weakness resumes. 🔹Why this indicator is useful Many traders can see volume. Far fewer can quickly judge whether that volume actually meant anything. This tool is designed to help with exactly that. It gives you: a cleaner way to read volume and spread together fast recognition of effort versus result imbalance background context instead of isolated signals VSA-style event labeling without requiring a cluttered chart friendly settings for newer users, plus advanced overrides for experienced users 🔹Best use cases confirming whether breakouts have real participation spotting weak rallies and weak selloffs judging whether aggressive bars are efficient or wasteful finding VSA-style reversal or continuation clues adding context to your existing market structure, liquidity, or price action model 🔹Important note This indicator is a chart-reading tool , not a promise of outcomes. VSA works best when signals are interpreted in context, not taken mechanically one by one. Use the background, the effort/result relationship, and the signal location together. Important consideration We scoured the internet, books, you name it to find detailed information on VSA techniques. That said, information is sparse and conflicting depending on where you look. We relied mostly on gold standard literature. However, the information in that literature is far from objective. Many descriptions are similar to… “An upthrust is a bar that pushes up and then fails, showing rejection of higher prices, usually in a weak background.” Coding this requires interpretation by the engineer - there aren’t exact rules to follow. This means the indicator’s presentation of an upthrust, shakeout, etc. might not always align with your definition of those events. You can customize the settings to force the indicator to better match your interpretation. 🔹Inputs you can customize The script includes simple user-friendly controls such as: What counts as a small body What counts as a long wick How strict close location should be How strict spread and volume classifications should be How much background proof you want before the indicator leans strong or weak Whether to use broader or more traditional No Demand / No Supply logic Whether Shakeouts and Upthrusts should require clear trend alignment Advanced users can also enable raw threshold overrides for finer control. 🔹Closing Notes And that’s about it! This script might receive updates in the future if the community asks for it - stay tuned! Thank you TradingView as always!
Pine Script®指標
由Trading-IQ提供
12
[ A L P H A X ] Market Pulse - Real-Time Confluence EngineAlphaX Market Pulse — 5-Timeframe MTF Alignment Dashboard, Weighted Bias Scoring, Market Structure Detection & Real-Time Confluence Engine AlphaX Market Pulse is a professional-grade multi-timeframe analysis cockpit that reads trend, momentum, volatility, and volume across five independent timeframes simultaneously and synthesizes everything into a single weighted Pulse Score and clear trade Verdict. Designed for traders who want to know — before placing a single trade — whether the market is genuinely aligned or simply creating the illusion of a move. Built for XAUUSD, indices, and forex majors on any intraday timeframe. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📸 Visual Overview Full dashboard view showing 5-timeframe alignment, Pulse Score, Verdict, and real-time confluence data on XAUUSD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Core Problem This Solves Every experienced trader knows that the single biggest edge in intraday trading is multi-timeframe alignment. When the 1-minute, 5-minute, 15-minute, 1-hour, and 4-hour charts all point in the same direction, trades have dramatically higher follow-through. When they conflict, even technically perfect setups fail. The problem is that manually checking five timeframes before every trade is slow, inconsistent, and easy to bias. AlphaX Market Pulse does it for you — automatically, on every bar, with a weighted scoring engine that gives higher timeframes more influence over the final verdict. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ The Four-Engine Analysis System Every timeframe is independently analyzed by four engines running simultaneously: Trend Engine Four factors assessed per timeframe: EMA Ribbon alignment (Fast / Medium / Slow) — is the ribbon stacked bullishly or bearishly? Price position relative to the 200 EMA Anchor — is the market above or below the macro baseline? EMA slope direction — are the moving averages rising or falling? Price position relative to the Fast EMA — is price leading or lagging the momentum line? Each factor contributes to a per-timeframe Trend Score. A score of +4 means all four factors are bullish. A score of -4 means all four are bearish. This granularity is what separates a "technically bullish" market from a genuinely strong one. Momentum Engine Four independent momentum reads per timeframe: RSI position relative to configurable bull and bear thresholds Stochastic K position (above or below midpoint) Stochastic K/D crossover direction MACD line vs signal line relationship Volatility Engine Bollinger Band width measured against its own 20-bar average. When the band is expanding relative to its baseline, the market is entering a higher-conviction phase. When it is compressed below average, the market is coiling — potential breakout pending, but no edge yet. Volume Engine Current bar volume measured against a configurable SMA. Classified into four states — DRY, NORMAL, HIGH, and SPIKE — and used to weight the final bias score upward when institutional participation is evident. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 The Weighted Pulse Score Once all five timeframes are analyzed, AlphaX Market Pulse calculates a single Pulse Score from 0 to 100 using a weighted average that gives higher timeframes more influence: 4H (TF5) — 30% weight 1H (TF4) — 25% weight 15M (TF3) — 20% weight 5M (TF2) — 15% weight 1M (TF1) — 10% weight This weighting reflects a core trading principle: the higher the timeframe, the more reliable the signal. A bullish 4H with a bearish 1M is still a bullish market. The Pulse Score reflects that reality rather than treating all timeframes equally. The score is displayed as ▲ BULL 78 / 100 or ▼ BEAR 65 / 100 — directional and quantified at a glance. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 The Verdict — One Line That Answers Everything Below the Pulse Score sits the most important row in the dashboard: the VERDICT . This single line synthesizes alignment count, score strength, and confluence quality into a direct trading instruction: ✓ HIGH CONFIDENCE LONG — all or nearly all timeframes bullish with strong score. This is the setup to trade. ✓ HIGH CONFIDENCE SHORT — all or nearly all timeframes bearish with strong score. △ LEAN LONG — CAUTION — majority bullish but not full confirmation. Reduce size or wait. ▽ LEAN SHORT — CAUTION — majority bearish but incomplete alignment. ✕ MIXED — STAND ASIDE — timeframes are conflicting. This is the most important message the dashboard can give you. No trade. ✕ NO CLEAR EDGE — insufficient directional conviction. Wait for clarity. The Verdict alone can prevent the most common and costly trading mistake: entering when the market has no clear direction. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📋 The Dashboard — Complete Reference The dashboard is organized into three sections: Section 1 — Multi-Timeframe Grid Five rows, one per timeframe. Each row shows: Timeframe label — the period being analyzed (fully configurable) Trend • Momentum — combined directional arrows for both engines. ▲▲ means strongly bullish, △ means mildly bullish, — means flat Bias score — the directional bias value for that timeframe with a ▲ or ▼ prefix At a glance you can see exactly which timeframes agree, which are lagging, and which are conflicting. Section 2 — Synthesis Layer ALIGNMENT — the alignment state across all five timeframes with a count (e.g. 4▲ 1▼ 0—) PULSE SCORE — the weighted composite score with direction VERDICT — the single-line trade instruction Section 3 — Current Timeframe Detail RSI — value with state label (OVERSOLD / DEPRESSED / NEUTRAL / ELEVATED / OVERBOUGHT) STOCH K — value with zone label (OS ZONE / MID RANGE / OB ZONE) MACD — directional state with momentum confirmation and histogram value STRUCTURE — real-time price structure detection (HIGHER H/L, LOWER H/L, HIGHER HIGH, LOWER LOW, RANGING) VOLATILITY — BB width state (COMPRESSED / NORMAL / ELEVATED / EXPANDING) with percentage value BB WIDTH — expanding or contracting relative to baseline VOLUME — DRY / NORMAL / HIGH / SPIKE with current ratio vs SMA ATR — current ATR value and percentage of price — essential for position sizing EMA STACK — full structural EMA alignment check (FULL BULL STACK / BULL STACK / BEAR STACK / FULL BEAR STACK / MIXED) BULL SCORE — raw weighted bullish score out of 100 BEAR SCORE — raw weighted bearish score out of 100 VS EMA 200 — price distance from the 200 EMA anchor as a percentage — identifies extended and exhausted moves before they reverse ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ☁ Bias Cloud & EMA System Four EMAs are plotted directly on the chart as structural context: Fast EMA (8) — the immediate momentum reference, colored bullish or bearish based on ribbon state Medium EMA (21) — the intermediate trend filter Slow EMA (55) — the trend backbone Anchor EMA (200) — the macro structural divider used in confidence scoring The Bias Cloud fills the space between the Fast and Slow EMAs with a subtle color — yellow-green when the ribbon is bullish, red when bearish — giving instant visual trend context without cluttering the chart. Both the cloud and the EMAs can be toggled independently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Identifying When NOT to Trade AlphaX Market Pulse is as valuable for telling you to stay out as it is for confirming entries. Watch for these no-trade conditions: VERDICT shows MIXED or NO CLEAR EDGE — the market has no directional consensus. Any trade here is a coin flip. Alignment count is split (e.g. 2▲ 2▼ 1—) — timeframes are fighting each other. PULSE SCORE is below 40 — insufficient conviction in either direction. VOLATILITY shows COMPRESSED — the market is coiling. No trend energy present. VS EMA 200 shows extreme extension (±3% or more) — the move may already be exhausted. Late entries here carry high reversal risk. EMA STACK shows MIXED — the moving averages are tangled, a reliable sign of a choppy ranging market. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Use AlphaX Market Pulse — Step by Step Step 1 — Check the Verdict first If it says MIXED or NO CLEAR EDGE — close the dashboard and do not trade. Wait for alignment. If it says HIGH CONFIDENCE — proceed to Step 2. Step 2 — Read the Alignment row How many timeframes agree? 5▲ 0▼ is the strongest possible setup. Which timeframes are dissenting? A dissenting TF1 (1-minute) is less significant than a dissenting TF5 (4-hour). Step 3 — Check the Pulse Score Above 70 — strong conviction, full size appropriate 55–70 — moderate conviction, consider reduced size Below 55 — marginal, wait for a higher score bar Step 4 — Validate with Section 3 Is RSI in a supportive zone for the direction? Is MACD confirming with momentum? Is STRUCTURE showing the right price behavior (Higher H/L for longs, Lower H/L for shorts)? Is VOLUME at least NORMAL? A signal into DRY volume has poor follow-through probability. Is VOLATILITY NORMAL or EXPANDING? COMPRESSED volatility means no energy behind the move. Step 5 — Use VS EMA 200 as a risk check If price is already 2–3% extended from the 200 EMA in your direction, the risk/reward is poor. Wait for a pullback. If price is near or just crossing the 200 EMA, the setup has maximum structural support. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 📊 5-timeframe simultaneous analysis — fully configurable timeframes, all running independently ⚖ Weighted Pulse Score — higher timeframes carry more weight, reflecting real trading hierarchy 🎯 Single-line Verdict — HIGH CONFIDENCE / LEAN / MIXED / NO EDGE — one answer, no ambiguity 🔬 Four-engine analysis — Trend, Momentum, Volatility, and Volume assessed per timeframe 📋 14-row live dashboard — MTF grid, synthesis layer, and current TF detail in one panel 📐 EMA Stack check — full structural alignment across Fast / Medium / Slow / Anchor EMAs 📉 Market Structure detection — real-time Higher H/L, Lower H/L, swing identification 📏 VS EMA 200 distance — percentage deviation from the macro anchor for exhaustion detection ☁ Bias Cloud — subtle EMA ribbon fill showing trend direction directly on the price chart 🎨 Cohesive dual-tone color theme — yellow-green for bullish, red for bearish, gray for neutral ⚙ Fully configurable — all timeframes, EMA periods, RSI/Stoch thresholds, BB and ATR settings adjustable 🔕 No repainting — all calculations confirmed on bar close ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Timeframes Timeframe 1–5 — set any five timeframes to analyze. Defaults: 1 / 5 / 15 / 60 / 240 Trend Engine Fast EMA — default 8 Medium EMA — default 21 Slow EMA — default 55 Anchor EMA — default 200 Momentum Engine RSI Period — default 14 RSI Bull Threshold — default 60 (RSI above this = bullish momentum) RSI Bear Threshold — default 40 (RSI below this = bearish momentum) Stoch Period — default 14 Stoch Smooth — default 3 Volatility ATR Period — default 14 BB Period — default 20 BB StdDev — default 2.0 Volume Volume SMA Period — default 20 Chart Overlay Show Bias Cloud — toggle the EMA ribbon fill Show EMAs — toggle all four EMA lines Dashboard Show Dashboard — toggle the entire panel Position — Top Left / Top Right / Bottom Left / Bottom Right Text Size — Tiny / Small / Normal ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is tuned for XAUUSD (Gold) on the 1-minute timeframe with a 5-timeframe stack of 1M / 5M / 15M / 1H / 4H: EMA periods (8 / 21 / 55 / 200) calibrated for gold's intraday volatility structure RSI thresholds at 40/60 rather than 30/70 — captures momentum earlier in the move BB period 20 with 2.0 StdDev — standard institutional volatility reference Volume SMA 20 — smoothed enough to filter single-bar spikes while still responsive For other instruments or timeframes, adjust: Swing traders (4H / Daily) — set TF stack to 15 / 60 / 240 / D / W, increase EMA periods to 13 / 34 / 89 / 200 Forex majors — defaults work well; lower RSI thresholds to 35/65 for more conservative momentum detection Indices (NAS100, US30) — increase Anchor EMA to 200, use TF stack 5 / 15 / 60 / 240 / D More sensitive — lower RSI thresholds to 35/65, reduce EMA periods Less noise — raise RSI thresholds to 45/55, increase EMA periods ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🥇 Gold (XAUUSD) intraday traders — built and tuned specifically for gold's fast-moving multi-session structure 📉 Forex scalpers and day traders — works on all major and minor pairs with minor setting adjustments 📊 Index traders — applicable to US30, NAS100, SPX500, DAX, and others 🧠 Traders who over-trade — the MIXED verdict physically stops you from entering in unfavorable conditions 📈 Traders who manually check multiple timeframes — this replaces that entire workflow with a single dashboard ⚙ Systematic and rule-based traders — the quantified Pulse Score provides an objective entry threshold rather than a subjective feeling ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All calculations are non-repainting — values confirmed on bar close The VS EMA 200 row uses the current timeframe's 200 EMA, not a higher timeframe value Market Structure detection (Higher H/L, Lower H/L) uses the last three bars — designed for fast intraday reads, not swing structure mapping The Bias Cloud and EMA lines can be hidden independently if you prefer a clean price chart with dashboard only All five timeframes are analyzed using the same four-engine framework — no timeframe receives a different logic set ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All values are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal or score does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who want one answer before every trade — not five charts to check.
Pine Script®指標
由AlphaX-Trade提供
Price x Volume ActivityPrice × Volume Activity highlights candles where unusually large amounts of capital are participating in the market. The indicator calculates Price × Volume (PV) for each candle and compares it to a 20-period average. When the current PV exceeds 1.8× its average, the background is highlighted to signal a participation spike. These spikes often occur during: • Breakouts and breakdowns • Institutional accumulation or distribution • High-conviction trend moves • News or momentum-driven volatility How to Read It Orange line → Current Price × Volume Blue line → 20-period PV average Red background → Unusually high participation High PV spikes suggest that significantly more capital than usual is active in the candle, helping traders confirm whether a move has strong conviction behind it. Best Use Cases This indicator works best in markets where volume reflects real traded participation, such as: • Stocks • Cryptocurrencies • Futures and other liquid derivatives It is less reliable on spot index charts, where volume may represent derived or proxy data rather than actual traded value. Tips for Using the Indicator For best results, combine this indicator with: • Price action analysis • Support and resistance levels • Volume or open interest analysis Used together, these tools can help identify high-participation moves, potential accumulation or distribution zones, and stronger breakout confirmations.
Pine Script®指標
由Alert_Trader提供
[ A L P H A X ] Range Profile ProAlphaX Range Profile Pro — Volume Profile, POC, Value Area, Delta & HVN Levels Stop guessing where price wants to go. AlphaX Range Profile Pro builds a full volume profile over any custom bar range, automatically locating the Point of Control, Value Area High, Value Area Low, and High Volume Nodes — so you always know exactly where the market has accepted the most volume and where it is likely to react next. Built for Gold, Forex, Crypto, Indices, and Futures traders on any timeframe. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔍 What This Indicator Does Volume profile is the single most powerful tool for understanding where institutional money has been most active. AlphaX Range Profile Pro scans every candle inside your selected range, distributes volume across price bins using a body-and-wick weighted algorithm, and renders a clean horizontal volume profile directly on your chart — complete with POC, Value Area, and optional HVN lines. Every level updates in real time as new bars form. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 📊 Body & Wick Weighted Volume Distribution Most volume profile tools split volume equally across the full candle range. AlphaX Range Profile Pro uses a precise body-and-wick weighting model — up volume is assigned to bullish body segments, down volume to bearish body segments, and wick volume is split proportionally. The result is a significantly more accurate representation of where buying and selling pressure actually occurred at each price level. 🎯 Point of Control (POC) The POC line marks the single price level with the highest traded volume in the entire range — the most accepted price by the market. It acts as a magnet for price and is one of the most reliable reaction levels in any profile. The POC is displayed as a solid line with a clearly labelled price tag and volume percentage. 📦 Value Area (VAH & VAL) The Value Area represents the price range containing a configurable percentage of total volume (default 70%). VAH and VAL are plotted as dashed lines with labels. The Value Area fill box shades the region across your chart for instant visual reference. Price trading inside the Value Area indicates acceptance. Price outside the Value Area indicates potential for a return or a breakout continuation. 🔵🟠 Up / Down Split Display Each profile row is rendered in two segments — blue for buy-side volume and orange for sell-side volume — showing the delta composition of every price level at a glance. Three display modes are available: Up/Down Split, Total Only, and Delta Only, so you can view the profile in whichever format suits your analysis style. 📍 High Volume Nodes (HVN) Optional HVN lines mark the top secondary volume levels outside the POC. These are the next most traded price clusters in the range and often act as strong support, resistance, and target levels. The number of HVN lines displayed is fully configurable. 📐 Flexible Range Selection Choose between Fixed Bars mode to profile the last N candles, or From Date/Time mode to anchor the profile to a specific session or event start. Profile width, placement, and X offset are all adjustable so the profile sits exactly where you need it on your chart. 🖥 Professional Dark Panel Design The profile renders inside a clean dark glass panel with an accent edge, subtle backdrop, and optional highlight — keeping the profile readable without cluttering your price action. All colors are individually customisable including up volume, down volume, value area fill, panel tint, border, and accent. 📋 Stats Table A compact on-chart stats table displays all key metrics in one place: range bar count, POC price and volume percentage, VAH and VAL, total up and down volume, and net delta. Table position is configurable to any corner of the chart. 🔔 4 Built-In Alert Conditions — Webhook Ready Cross Above POC — price closes above the Point of Control Cross Below POC — price closes below the Point of Control Cross Above VAH — price closes above the Value Area High Cross Below VAL — price closes below the Value Area Low All alerts fire on confirmed bar close. Connect to Telegram, 3Commas, Alertatron, n8n, or any webhook automation service. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Range Range Mode — Fixed Bars or From Date/Time anchor Number of Bars — how many bars back to profile (default 150) Anchor Time — start timestamp for Date/Time mode Max Lookback — maximum bars scanned in anchor mode Profile Row Size (bins) — number of horizontal price bins (default 24). Higher = more granular profile Value Area Volume % — percentage of volume defining the Value Area (default 70%) Display Mode — Up/Down Split, Total Only, or Delta Only Profile Width — horizontal width of the profile in bars Placement — Left inside chart or Right (future bars) X Offset — fine-tune horizontal position Levels Shade Value Area — fills the VAH–VAL range across the chart Show POC — toggle POC line Show VAH / VAL — toggle Value Area lines Show Range High / Low — toggle outer range boundary lines Extend Lines — extend levels to the right or keep contained Show Level Labels — toggle price labels on all levels Show HVN Lines — toggle High Volume Node lines HVN Count — number of HVN lines to display (1–5) Style Full color controls for POC, VAH, VAL, up volume, down volume, value area fill, panel background, border, accent edge, labels, and highlight tint Line width controls for POC, VAH/VAL, HVN, and panel border Row gap — spacing between profile bins Stats Stats Table — toggle the on-chart statistics panel Table Position — Top Right, Top Left, Bottom Right, or Bottom Left ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Use Add AlphaX Range Profile Pro to any chart — default settings work well across most markets Set your Range Mode — use Fixed Bars for a rolling profile or anchor to a specific session open Focus on the POC first — it is the highest conviction level in the entire profile Use VAH and VAL as your Value Area boundaries — look for rejections at VAH in downtrends and VAL in uptrends Watch for price to leave and return to the Value Area — these are high-probability mean reversion setups Enable HVN lines to identify secondary reaction levels within the range Set alerts on POC and VAH/VAL crosses for automated entry triggers ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🥇 Gold (XAUUSD) traders — volume profile is essential for reading institutional order flow in XAU 📈 ICT and Smart Money traders — use POC and Value Area to identify premium, discount, and equilibrium zones 📊 Volume profile traders — a clean, accurate, customisable profile built natively in Pine Script v6 📉 Forex and Index traders — works on all major pairs, US30, NAS100, SPX500, and more 🌍 Crypto traders — ideal for BTC, ETH, and high-volume altcoin analysis 🤖 Algo and bot traders — webhook-ready alerts on all key level crosses 📐 All timeframes — from M1 intraday scalping to Daily and Weekly swing analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes Works on all asset classes — Gold, Forex, Crypto, Futures, Indices, Stocks Profile recalculates fully on every bar close — always current No repainting — all levels are based on confirmed historical volume data Pine Script v6 — built for performance and forward compatibility All visual elements are individually toggleable Recommended timeframes: M5, M15, M30, H1, H4, Daily ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who trade with the market, not against it.
Pine Script®指標
由AlphaX-Trade提供
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®指標
由BigBeluga提供
21
Luminous Volume Delta [Pineify]Luminous Volume Delta — Volume Polarity Oscillator with Surge Detection & Momentum Cloud The Luminous Volume Delta is a volume-based momentum oscillator that decomposes total volume into buying and selling pressure, calculates the net delta, and overlays a smoothed oscillator with signal line crossovers and intelligent volume surge detection. Unlike standard volume indicators that simply display bar-by-bar volume, this indicator estimates the directional intent behind each bar's volume by classifying it as buyer- or seller-dominated based on candlestick polarity. The result is a MACD-style oscillator built entirely on volume data, giving traders a clear, actionable view of when buying or selling pressure is genuinely shifting — and when a volume surge makes that shift especially significant. Key Features Intrabar volume polarity estimation that splits each bar's volume into buy volume and sell volume based on candlestick direction Raw volume delta histogram with adaptive transparency — surge bars appear vivid while normal bars remain faded for instant visual prioritization EMA-smoothed delta line paired with an SMA signal line for MACD-style crossover detection Volume surge detection using a configurable threshold (default: 1.618× the 50-bar average volume) to highlight bars with unusually high market participation Momentum Cloud fill between the smoothed delta and signal line that visually encodes whether buyers or sellers currently hold the momentum advantage Filtered buy and sell signals that only trigger when crossovers occur in optimal territory — oversold for buys, overbought for sells How It Works The indicator follows a three-stage calculation pipeline that transforms raw volume into a normalized momentum oscillator: Stage 1: Volume Polarity Classification Each bar's total volume is classified based on the relationship between its open and close prices. Bullish bars (close > open) assign 100% of volume to buyers. Bearish bars (close < open) assign 100% to sellers. Doji bars (close = open) split volume equally between buyers and sellers, reflecting market indecision. This simple yet effective heuristic provides a practical approximation of order flow without requiring tick-level data. Stage 2: Delta Calculation and Smoothing The raw volume delta (buy volume minus sell volume) is calculated for each bar. A positive delta indicates net buying pressure; a negative delta indicates net selling pressure. This raw delta is then smoothed using an Exponential Moving Average (EMA) with the user-defined "Delta Smoothing Length" (default: 14 periods) to reveal the underlying trend in volume flow. A Simple Moving Average (SMA) signal line is computed over the smoothed delta using the "Signal Line Length" (default: 9 periods), creating a slower reference for crossover analysis. Stage 3: Surge Detection A 50-period SMA of total volume establishes the baseline average volume. When the current bar's volume exceeds this average multiplied by the surge threshold (default: 1.618, inspired by the golden ratio), the bar is flagged as a volume surge. Surge bars receive vivid histogram coloring (low transparency) while normal bars remain faded (high transparency), instantly drawing the trader's attention to moments of exceptional market participation. Trading Ideas and Insights Accumulation and Distribution Detection — Sustained positive raw delta (green histogram bars) indicates accumulation by buyers, while sustained negative delta (red bars) reveals distribution by sellers. The smoothed delta line confirms whether this pressure is building or fading. Momentum Crossover Entries — When the smoothed delta crosses above the signal line, buying momentum is accelerating relative to its recent average. When it crosses below, selling momentum is taking over. These crossovers function identically to MACD signal crossovers but are driven purely by volume dynamics. Surge-Confirmed Moves — Volume surges that coincide with a delta crossover carry significantly more weight than crossovers on normal volume. A vivid green surge bar appearing alongside a bullish crossover suggests strong institutional participation behind the move. Divergence Analysis — When price makes new highs but the smoothed delta fails to confirm with new highs of its own, it signals weakening buying conviction — a classic bearish divergence. The inverse applies for bullish divergences at price lows. Zero-Line Context — The zero line represents equilibrium between buying and selling pressure. Crossovers of the smoothed delta above zero confirm a shift to net buyer dominance; crossovers below zero confirm net seller dominance. How Multiple Indicators Work Together The Luminous Volume Delta integrates three complementary analytical techniques into a unified volume analysis system: The volume polarity estimation provides the raw directional data, the dual moving average system (EMA + SMA) creates a momentum oscillator framework, and the surge detection layer adds a volatility filter — together forming a complete volume-momentum analysis toolkit. The raw delta histogram gives bar-by-bar granularity, showing the immediate balance of buying versus selling pressure. However, raw data is inherently noisy, which is why the EMA-smoothed delta line is overlaid to extract the trend from the noise. The EMA was chosen over an SMA for the delta line because it front-weights recent data, keeping the oscillator responsive to sudden shifts in volume flow. The SMA signal line intentionally uses a different averaging method (SMA rather than EMA) to create a smoother, more stable reference. This deliberate mismatch between EMA and SMA produces more meaningful crossover events — the faster EMA reacts to changes in volume pressure while the slower SMA confirms that the shift is sustained rather than transient. The surge detection system operates independently from the oscillator but provides critical context. A crossover signal on normal volume may represent routine market fluctuation, while the same crossover accompanied by a volume surge (highlighted by vivid histogram coloring) suggests genuine conviction behind the move. The golden ratio threshold (1.618×) provides a mathematically balanced sensitivity that captures meaningful volume spikes without flagging every minor uptick. The Momentum Cloud fill between the delta and signal lines synthesizes the relationship between these two components into a single visual element — green when the delta leads (bullish momentum advantage) and red when the signal leads (bearish momentum advantage). Unique Aspects Volume-native oscillator — While most oscillators are price-derived (RSI, Stochastic, MACD), this indicator builds its entire oscillator framework from volume data, providing a fundamentally different perspective on market momentum. Adaptive transparency histogram — The dual-transparency system (15% for surges, 75% for normal bars) creates an automatic visual hierarchy that highlights the most important volume events without requiring the trader to scan for them manually. Golden ratio surge threshold — The default 1.618× multiplier is rooted in the golden ratio, providing a naturally balanced detection sensitivity that has been observed to align well with significant volume expansion events across various markets and timeframes. Zone-filtered signals — Buy signals require the crossover to occur in negative territory (oversold accumulation), and sell signals require it in positive territory (overbought distribution). This filtering eliminates low-conviction signals that occur in neutral mid-range territory. Mixed MA crossover design — Using an EMA for the delta line and an SMA for the signal line is a deliberate design choice that balances responsiveness with stability, producing higher-quality crossover signals than same-type MA pairs. How to Use Add the Luminous Volume Delta indicator to your chart. It will appear in a separate panel below the price chart. Observe the histogram bars for immediate volume delta context — green bars indicate net buying pressure, red bars indicate net selling pressure. Vivid (bright) bars signal a volume surge event. Monitor the blue smoothed delta line and orange signal line for crossover signals. A bullish crossover (delta crossing above signal) in negative territory suggests accumulation is beginning. A bearish crossover in positive territory suggests distribution is starting. Use the Momentum Cloud color to confirm the prevailing volume momentum direction — green cloud means buyers are in control, red cloud means sellers dominate. Pay special attention when surge bars coincide with crossover signals — these high-volume crossovers carry significantly more conviction than normal-volume crossovers. Watch for divergences between price and the smoothed delta line to identify potential trend exhaustion before it becomes visible in price action. Combine with price action analysis, support/resistance levels, or trend-following indicators for additional confirmation before executing trades. Customization Delta Smoothing Length (default: 14) — Controls the EMA period applied to the raw volume delta. Increase for smoother, longer-term volume trend analysis (20-30); decrease for more responsive, shorter-term signals (7-10). Signal Line Length (default: 9) — Controls the SMA period applied to the smoothed delta. Higher values produce fewer but more reliable crossover signals; lower values increase signal frequency at the cost of more noise. Volume Surge Threshold (default: 1.618) — The multiplier of the 50-bar average volume that triggers surge highlighting. Increase to only flag extreme volume events (2.0-3.0); decrease for more sensitive surge detection (1.2-1.5). Bullish / Bearish Colors — Customize the histogram and cloud fill colors to match your chart theme. Delta Line / Signal Line Colors — Adjust the oscillator line colors for optimal visibility against your chart background. Conclusion The Luminous Volume Delta offers a methodologically distinct approach to momentum analysis by building its oscillator framework entirely from volume polarity data rather than price. By combining intrabar volume classification, dual moving average smoothing, and adaptive surge detection into a single cohesive system, it provides traders with insights that pure price-based indicators cannot deliver — specifically, who is in control (buyers or sellers), how strongly they are in control (surge vs. normal volume), and when that control is shifting (crossover signals filtered by momentum zone). Whether you are a day trader looking for volume-confirmed entries, a swing trader seeking accumulation and distribution patterns, or a position trader monitoring institutional participation, this indicator provides a structured, visually intuitive framework for understanding the volume dynamics that drive price movement.
Pine Script®指標
由Pineify提供
Institutional Liquidity Flow Engine [JOAT]Institutional Liquidity Flow Engine Introduction The Institutional Liquidity Flow Engine is an advanced open-source volume analysis indicator that combines relative volume monitoring, buyer/seller strength analysis, multi-timeframe alignment detection, and comprehensive flow metrics into a unified institutional-grade tool. This indicator helps traders identify when institutional money is entering or exiting positions by analyzing volume patterns, pressure dynamics, and liquidity conditions across multiple timeframes. Unlike basic volume indicators that simply show volume bars, this engine dissects volume into actionable intelligence: relative volume (RVOL) to identify unusual activity, buyer/seller strength ratios to determine who controls the market, accumulation/distribution trends to track smart money positioning, and multi-timeframe alignment to confirm directional conviction. The indicator is designed for traders who understand that volume precedes price and that institutional footprints can be detected through systematic volume analysis. Why This Indicator Exists This indicator addresses a critical gap in retail trading: the ability to detect institutional activity in real-time. Institutional traders move large positions that create detectable volume signatures. By combining multiple volume analysis methodologies, this indicator reveals: Relative Volume Analysis: Identifies when volume is significantly above or below average, signaling potential institutional activity Buyer/Seller Strength: Quantifies the balance of power between buyers and sellers using volume-weighted calculations Multi-Timeframe Alignment: Confirms whether volume patterns align across 1m, 5m, 15m, 30m, 1h, 2h, 4h, Daily, and Weekly timeframes Flow Metrics: Tracks Money Flow Index (MFI), On-Balance Volume (OBV), Accumulation/Distribution (A/D), and VWAP deviation Liquidity Classification: Categorizes market conditions as Strong Buying, Strong Selling, Balanced, or Thin liquidity Each component provides a different lens on volume behavior. RVOL shows intensity, buyer/seller strength shows direction, MTF alignment shows conviction, flow metrics show institutional positioning, and liquidity classification shows market conditions. Together, they create a comprehensive view of institutional activity. Core Components Explained 1. Relative Volume (RVOL) Analysis RVOL is calculated as current volume divided by the average volume over a specified period (default 20 bars): avgVolume = ta.sma(volume, volumeLength) relativeVolume = avgVolume > 0 ? volume / avgVolume : 1.0 The indicator classifies RVOL into five categories: Extreme (RVOL >= 3.0): Institutional-level activity, potential climax moves High (RVOL >= 1.5): Above-average activity, significant interest Normal (RVOL >= 1.0): Average activity, typical market conditions Low (RVOL >= 0.5): Below-average activity, reduced interest Very Low (RVOL < 0.5): Minimal activity, thin liquidity RVOL thresholds are customizable. Higher RVOL often precedes significant price moves as institutions accumulate or distribute positions. 2. Buyer/Seller Strength Analysis The indicator calculates buyer and seller strength using volume-weighted analysis: buyerVolume = close > open ? volume : 0 sellerVolume = close < open ? volume : 0 buyerStrength = ta.sma(buyerVolume, volumeLength) sellerStrength = ta.sma(sellerVolume, volumeLength) Strength ratios are calculated as percentages: Buyer Ratio: (buyerStrength / totalStrength) * 100 Seller Ratio: (sellerStrength / totalStrength) * 100 When buyer ratio exceeds 70%, bullish pressure dominates. When seller ratio exceeds 70%, bearish pressure dominates. The indicator also integrates ATR-based strength calculations to filter for significant moves and RSI-based strength classification (Strong/Moderate/Weak) for additional context. 3. Multi-Timeframe Alignment The indicator requests RVOL data from three customizable timeframes (default: 5m, 15m, 60m) and calculates alignment: mtf1_bullish = rvol_mtf1 > 1.0 and vol_mtf1 > ta.sma(vol_mtf1, 20) mtfAlignment = (mtf1_bullish ? 1 : 0) + (mtf2_bullish ? 1 : 0) + (mtf3_bullish ? 1 : 0) Alignment status: Strong Aligned (3/3): All timeframes show elevated volume - high conviction Aligned (2/3): Majority timeframes show elevated volume - moderate conviction Weak (1/3): Only one timeframe shows elevated volume - low conviction No Alignment (0/3): No timeframes show elevated volume - no conviction Strong alignment across multiple timeframes indicates institutional participation at scale, as large orders are often split across timeframes to minimize market impact. 4. Flow Metrics Suite Money Flow Index (MFI): Volume-weighted RSI that measures buying and selling pressure: mfi = ta.mfi(close, volumeLength) MFI > 80 indicates overbought conditions with high volume, MFI < 20 indicates oversold conditions with high volume. On-Balance Volume (OBV): Cumulative volume indicator that adds volume on up days and subtracts on down days: obv = ta.cum(math.sign(ta.change(close)) * volume) obvTrend = obv > obvMA ? "Bullish" : obv < obvMA ? "Bearish" : "Neutral" OBV divergences from price often signal reversals. Accumulation/Distribution (A/D): Measures the cumulative flow of money into and out of a security: ad = ta.cum(close == high and close == low or high == low ? 0 : ((2 * close - low - high) / (high - low)) * volume) Rising A/D with rising price confirms uptrend, falling A/D with rising price signals distribution. VWAP Deviation: Measures how far price is from volume-weighted average price: vwap = ta.vwap(close) vwapDeviationPercent = vwap != 0 ? ((close - vwap) / vwap) * 100 : 0 Large deviations often mean-revert as institutions take advantage of inefficient pricing. 5. Volume Speed & Acceleration The indicator calculates volume momentum and acceleration: Volume ROC: Rate of change in volume over 5 periods Volume Acceleration: Change in volume ROC (second derivative) Volume Momentum: Current volume minus 10-period SMA Volume Trend: Increasing or Decreasing based on EMA crossover Accelerating volume often precedes breakouts or breakdowns as institutional orders hit the market. 6. Liquidity Classification System The indicator classifies current liquidity conditions: Strong Buying: High RVOL + positive net pressure (buyer strength > seller strength) Strong Selling: High RVOL + negative net pressure (seller strength > buyer strength) Balanced: Normal RVOL with relatively equal buyer/seller strength Thin: Low RVOL indicating reduced liquidity and potential for slippage Pressure intensity is calculated as: pressureLevel = math.abs(netPressure) / avgVolume pressureIntensity = pressureLevel >= 2.0 ? "Extreme" : pressureLevel >= 1.0 ? "High" : pressureLevel >= 0.5 ? "Moderate" : "Low" Visual Elements RVOL Histogram: Main plot showing relative volume with color-coded intensity (extreme = magenta, high = yellow, normal = green, low = gray) Reference Lines: Horizontal lines at 1.0 (average), 1.5 (high threshold), and 3.0 (extreme threshold) Buyer Pressure Fill: Background fill showing buyer pressure ratio (0-100%) Volume Oscillator: Histogram overlay showing short-term vs long-term volume momentum MFI Line: Thick line overlay showing Money Flow Index with gradient colors Information Table: Comprehensive dashboard displaying all metrics in real-time The table displays 15 metrics: 1. RVOL (current relative volume) 2. Status (Extreme/High/Normal/Low/Very Low) 3. Volume Trend (Increasing/Decreasing) 4. Pressure (Bullish/Bearish/Neutral) 5. Buyer Strength (percentage) 6. Seller Strength (percentage) 7. RSI (current value) 8. Liquidity (Strong Buying/Strong Selling/Balanced/Thin) 9. MTF Alignment (Strong Aligned/Aligned/Weak/No Alignment) 10. A/D Trend (Accumulation/Distribution/Neutral) 11. OBV Trend (Bullish/Bearish/Neutral) 12. MFI (current value) 13. VWAP Deviation (percentage) 14. Volume Momentum (percentage) Input Parameters Volume Analysis: Volume MA Length: Period for volume moving average (default: 20) High RVOL Threshold: Multiplier for high volume detection (default: 1.5) Extreme RVOL Threshold: Multiplier for extreme volume detection (default: 3.0) Multi-Timeframe Settings: Show Multi-Timeframe Analysis: Toggle MTF calculations (default: enabled) Timeframe 1/2/3: Customizable timeframes for alignment analysis (default: 5m, 15m, 60m) Buyer/Seller Strength: ATR Length: Period for ATR calculation (default: 14) RSI Length: Period for RSI calculation (default: 14) RSI Overbought/Oversold: Thresholds for RSI classification (default: 70/30) Display Options: Show Info Table: Toggle information dashboard (default: enabled) Show Volume Histogram: Toggle RVOL histogram (default: enabled) Show VWAP Deviation: Toggle VWAP calculations (default: enabled) Table Position: Choose dashboard location (Top Right/Top Left/Bottom Right/Bottom Left) Colors: All colors are customizable including bullish, bearish, neutral, extreme volume, and high volume colors. How to Use This Indicator Step 1: Monitor RVOL for Unusual Activity Watch for RVOL spikes above 1.5 (high) or 3.0 (extreme). These indicate institutional activity. Extreme RVOL often marks climax moves or major reversals. Step 2: Check Buyer/Seller Strength Identify who controls the market. Buyer ratio > 70% suggests bullish control, seller ratio > 70% suggests bearish control. Look for divergences where price moves one direction but strength moves another. Step 3: Confirm with MTF Alignment Strong alignment across multiple timeframes confirms institutional conviction. Weak or no alignment suggests retail-driven moves that may lack follow-through. Step 4: Analyze Flow Metrics Check MFI, OBV, and A/D for confirmation. Rising OBV with rising price confirms uptrend. Falling A/D with rising price warns of distribution. Step 5: Assess Liquidity Conditions Strong Buying or Strong Selling conditions with high RVOL often precede significant moves. Thin liquidity conditions increase risk of slippage and false moves. Step 6: Look for Volume Acceleration Accelerating volume momentum often precedes breakouts. Decelerating volume momentum often precedes consolidation or reversal. Best Practices Use on liquid instruments (major forex pairs, large-cap stocks, major crypto) for most reliable signals Combine with price action analysis - volume shows intent, price shows result Pay attention to RVOL spikes at key support/resistance levels Look for volume divergences: price making new highs/lows without volume confirmation often fails MTF alignment is most reliable on trending markets, less reliable in choppy conditions Extreme RVOL can signal exhaustion - be cautious of chasing moves with RVOL > 5.0 Use VWAP deviation for mean reversion opportunities when price extends far from VWAP Monitor A/D and OBV for early warning signs of trend changes Indicator Limitations Volume analysis works best on liquid instruments with consistent volume patterns Low-volume instruments or off-market hours can produce unreliable RVOL readings MTF alignment requires sufficient data on all timeframes - may not work on newly listed instruments Volume precedes price but doesn't guarantee direction - high volume can occur on both breakouts and fakeouts Buyer/seller strength calculations assume close > open = buying and close < open = selling, which is a simplification RVOL thresholds may need adjustment for different instruments and market conditions The indicator shows what is happening, not why - fundamental catalysts can override technical volume patterns Extreme RVOL can persist longer than expected during major news events or market dislocations Technical Implementation Built with Pine Script v6 using: Custom RVOL calculations with dynamic thresholds Volume-weighted buyer/seller strength analysis Multi-timeframe security requests with proper lookahead settings Comprehensive flow metrics (MFI, OBV, A/D, VWAP) Volume momentum and acceleration calculations Real-time liquidity classification system Dynamic table with 15 metrics and color-coded cells Thick histogram and line plots for enhanced visibility 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 integration approach. While individual components (RVOL, MFI, OBV, A/D, buyer/seller strength) are established concepts, this indicator is justified because: It synthesizes six distinct volume analysis methodologies into a unified system The multi-timeframe alignment detection provides institutional conviction measurement not available in standard volume indicators Buyer/seller strength calculations combine volume, ATR, and RSI for multi-dimensional pressure analysis The liquidity classification system categorizes market conditions in real-time Volume speed and acceleration metrics provide early warning of momentum shifts The comprehensive dashboard presents 15 metrics simultaneously for holistic volume analysis Integration of flow metrics (MFI, OBV, A/D, VWAP) with RVOL and strength analysis creates layered confirmation Each component contributes unique information: RVOL shows intensity, buyer/seller strength shows direction, MTF alignment shows conviction, flow metrics show positioning, liquidity classification shows conditions, and volume acceleration shows momentum. The indicator's value lies in presenting these complementary perspectives simultaneously with a unified classification system. 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. Volume analysis is a tool for understanding market dynamics, not a crystal ball for predicting future price movement. High volume does not guarantee profitable trades. Past volume patterns do not guarantee future volume 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. High RVOL, strong buyer/seller ratios, and MTF alignment do not guarantee profitable trades. 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®指標
由officialjackofalltrades提供
4
Directional Volume Pressure (DVP) Directional Volume Pressure (DVP) Directional Volume Pressure (DVP) is a volume-based oscillator that estimates who is “winning” inside each candle (buyers or sellers), then smooths and optionally normalizes that estimate into a clean signal you can use for trend confirmation, momentum shifts, absorption spotting, and divergence. Unlike many “up volume vs down volume” tools that only look at whether the candle closed green/red, DVP also considers how much of the candle was real body vs wick. That matters, because a big wick often represents rejection, while a big body often represents acceptance/commitment. DVP outputs a histogram that oscillates around 0: Above 0 = net buying pressure (bulls dominating) Below 0 = net selling pressure (bears dominating) Crossing 0 = potential regime shift / momentum flip You can optionally add: Fast/Slow moving averages of the pressure (for regime + cross signals) Absorption detection (high volume, low real movement = likely large passive liquidity) Divergence detection (price makes new extreme, pressure fails to confirm) ±1 “zone” lines (when normalized) to highlight stronger-than-normal pressure 1) What the indicator is measuring (plain English) Every candle has: Range = high - low Body = abs(close - open) Body ratio = body / range (how much of the candle is “real move” vs wicks) DVP uses body ratio as a proxy for conviction: Large body / small wicks → stronger directional intent Small body / large wicks → more indecision / rejection Then it allocates the candle’s volume into two buckets: Bull volume Bear volume Finally it computes: Net Pressure = bull_volume - bear_volume Smooth it over time Normalize (optional) so it’s easier to compare across assets/timeframes This gives you a single line/histogram that answers: “Is volume pressure currently more bullish or bearish—and how unusually strong is it compared to recent history?” 2) How DVP splits volume into bullish vs bearish (how it works) A) If the candle closes green (close > open) The candle is treated as bull-dominant, and the body ratio decides how dominant: bull_volume = volume * body_ratio bear_volume = volume * (1 - body_ratio) So: Big green body → bull volume gets most of the volume Green candle with long wicks → bull volume gets less (because conviction is weaker) B) If the candle closes red (close < open) Mirror logic: bull_volume = volume * (1 - body_ratio) bear_volume = volume * body_ratio So: Big red body → bear volume gets most of the volume Red candle with long wicks → bear volume gets less C) If the candle is a doji (close == open) It uses a simple heuristic: Find the candle midpoint (high + low)/2 If the close is above the midpoint, it leans bullish; otherwise bearish It assigns 60/40 instead of 50/50 to avoid flatlining This prevents doji candles from always being “neutral” (because in real trading they often aren’t). 3) The smoothing pipeline (why it’s there) Raw volume pressure is noisy. So DVP smooths in two stages: Pressure sum pressure_sum = EMA(net_pressure, period) Final smoothing pressure_smooth = EMA(pressure_sum, smooth) What these do: Period controls the “memory” of pressure (how many bars matter). Smoothing is a final noise filter so the histogram isn’t jittery. Typical use: Lower timeframes (1m–15m): increase smoothing a bit Higher timeframes (4H–1D): you can reduce smoothing 4) Normalization options (how to choose) DVP offers 4 normalization modes. This is important because raw volume values are not comparable across markets (BTC vs a low-cap alt, or NY session vs Asia session, etc.). 4.1 Raw Shows the smoothed net pressure in absolute units. Best if you only trade one instrument and want pure, unscaled behavior. Downside: A volume regime change can distort interpretation. 4.2 Percent pressure_smooth / EMA(volume, period) Converts pressure into a relative fraction of recent volume Good for comparing across instruments a bit more fairly than Raw. Downside: Still not “statistically standardized.” 4.3 Z-Score (recommended) It computes a Z-score of pressure vs its recent history: mean = SMA(pressure_smooth, stat_period) std = StDev(pressure_smooth, stat_period) z = (pressure - mean) / std Then it clamps to avoid extreme outliers and rescales: clamp z to divide by 2 → roughly maps into about Why it’s powerful: Z-score tells you when pressure is unusually strong relative to the last stat_period bars. This is the best mode if you want: consistent “strong/weak” thresholds zone lines (±1) to mean something 4.4 Adaptive Scales pressure to a rolling min/max range: norm_adaptive = 2*(pressure - low)/(high-low) - 1 This forces output into based on recent extremes. Use it when: You want clean bounded visuals You trade assets with wildly changing volatility/volume Downside: It’s relative to the window, so extreme prints can “compress” everything else until they roll off. 5) Reading the histogram (the core skill) 5.1 Basic interpretation Green bars above 0: bullish pressure dominance Red bars below 0: bearish pressure dominance 5.2 Strength and “trend quality” In Z-score or Adaptive, the height of the bars matters a lot. Taller bars = stronger imbalance between bull vs bear volume allocation. A healthy trend often shows: bullish trend → consistent positive bars, pullbacks don’t push deeply negative bearish trend → consistent negative bars, bounces don’t push deeply positive 5.3 The “tell” One of the strongest tells is price moving up while DVP falls, or price moving down while DVP rises. That’s where absorption/divergence logic becomes useful. 6) Moving averages, regimes, and crosses (optional overlays) DVP can plot: Fast MA (default 9) Slow MA (default 21) MA type: SMA / EMA / WMA / VWMA 6.1 Regime definition Bullish regime: ma_fast > ma_slow Bearish regime: ma_fast < ma_slow The histogram color intensity changes depending on regime: When pressure aligns with regime, colors are “stronger” When pressure contradicts regime, colors are “faded” 6.2 Cross signals Bullish cross: fast MA crosses above slow MA Bearish cross: fast MA crosses below slow MA These are best used as: confirmation after a structure break early warning when pressure trend flips before price Tip: Crosses are more meaningful when: they occur near the zero line, or they occur alongside a strong Z-score push 7) Absorption detection (optional) Idea: Sometimes volume explodes, but price barely moves. That often implies absorption: large passive limit orders absorbing aggressive market orders “someone big” taking the other side without allowing progress How DVP flags absorption It checks two things: Volume Z-score is high Computes Z-score of volume over stat_period Triggers when it exceeds absorption_threshold (default 2.0 sigma) Price movement is small (relative to ATR) Measures body size vs ATR(14) Triggers if body/ATR is small (< 0.5) Then it classifies: If absorption happens while DVP is positive → bullish absorption marker If absorption happens while DVP is negative → bearish absorption marker How to use it Absorption is not automatically bullish or bearish. It’s more like: Bullish absorption can indicate “sellers got absorbed” and a base is forming Bearish absorption can indicate “buyers got absorbed” near tops/distribution Best practice: Use absorption at key levels (prior highs/lows, VWAP bands, value areas, trendlines) Combine with follow-through: the next few candles should confirm direction 8) Divergence detection (optional) DVP can look for simple divergence patterns over div_lookback bars: Bullish divergence (the concept) Price prints a lower low DVP prints a higher low And DVP is below 0 (selling pressure context) This often means: “Price pushed lower, but the selling pressure did not expand—downside may be weakening.” Bearish divergence (the concept) Price prints a higher high DVP prints a lower high And DVP is above 0 (buying pressure context) This often means: “Price pushed higher, but the buying pressure did not expand—upside may be weakening.” Important: Divergence works best when: it appears after an extended move it forms at prior liquidity (previous highs/lows) it’s followed by a clear structure break or zero-line shift in DVP 9) The ±1 zone lines (optional) If you enable Show ±1 Zones and you are not in Raw mode, the script plots: +1 zone −1 zone In Z-score mode, those zones are especially useful because they represent “unusually strong” pressure relative to recent history. Simple rule of thumb: Sustained bars beyond +1 → strong bullish control Sustained bars beyond −1 → strong bearish control Failure to reach zones during trend continuation attempts → weakening trend 10) Practical setups (copy/paste playbooks) Setup A — Clean trend confirmation (recommended) Normalization: Z-Score Period: 14 Smoothing: 3–5 Show MAs: ON (9/21 EMA) Show Crosses: optional How to trade it: Bias long when DVP > 0 and fast MA > slow MA Bias short when DVP < 0 and fast MA < slow MA Reduce risk when DVP starts contradicting regime repeatedly Setup B — Momentum shift + entries Z-Score Show Crosses: ON Watch for: pressure crossing 0 MA cross bar height expansion (strong push) Use it to confirm a breakout: Breakout candle + DVP expansion + bullish regime = higher quality breakout Setup C — Reversal hunting (advanced) Show Absorption: ON Show Divergence: ON Use Z-score zones Reversal checklist: Divergence near a key level Absorption print occurs around the same zone DVP crosses 0 or MA cross confirms Price breaks minor structure (swing high/low) 11) Common mistakes Treating DVP as a standalone entry signal. It’s strongest as a confirmation tool. Using Raw mode across multiple assets/timeframes and expecting consistent thresholds. Over-trusting divergence in choppy ranges without structure confirmation. Ignoring session effects (volume regimes change dramatically in some markets). 12) What each setting does (quick reference) Core Settings Period: lookback for pressure EMA (bigger = smoother/laggier) Smoothing: extra EMA smoothing on top (bigger = less noise) Normalization Raw: absolute pressure Percent: pressure relative to volume Z-Score: statistically standardized pressure (best for thresholds) Adaptive: min/max scaled to Statistical Period: lookback for Z-score + adaptive range Moving Averages Show MAs: plots fast/slow MA on pressure Show Crosses: plots ▲/▼ when fast crosses slow Fast / Slow MA: sensitivity vs stability MA Type: smoothing style Signals Show Absorption: highlights absorption bars + A markers Absorption Threshold: how extreme volume must be (sigma) Show Divergence: plots D markers Divergence Lookback: scan window for extremes Show ±1 Zones: plots zone lines when normalized 13) Short “store page” style summary (if you need it) Directional Volume Pressure (DVP) estimates buyer vs seller dominance by allocating each candle’s volume based on body-to-range structure, then smoothing and normalizing it into an oscillator around zero. Use it to confirm trends (pressure above/below zero), identify regime shifts (MA crosses and zero-line flips), spot absorption (high volume with low real movement), and detect divergences when price extremes are not confirmed by volume pressure. Z-score normalization is recommended for consistent thresholds and zone-based interpretation across markets and timeframes.
Pine Script®指標
由KevinSvenson_提供
Polarity Divergence Scanner [JOAT]Polarity Divergence Scanner Introduction The Polarity Divergence Scanner is an open-source advanced market polarity detection system that measures bullish and bearish pressure across four distinct market dimensions: price action, volume flow, momentum dynamics, and volatility expansion. This sophisticated oscillator integrates multiple pressure measurement techniques to detect polarity shifts, divergences, and pressure extremes with visual heatmap representation. The indicator is designed for traders who understand that market movements are driven by the constant battle between bullish and bearish forces across multiple dimensions. By synthesizing price polarity, volume polarity, momentum polarity, and volatility polarity into a composite index, this tool helps identify structural market turning points where pressure imbalances create high-probability reversal opportunities. Why This Integration Exists This indicator combines four distinct polarity measurement frameworks that complement each other: Price Polarity Analysis: Measures directional pressure from pure price action using range-normalized calculations Volume Polarity Tracking: Analyzes buying versus selling pressure through volume flow dynamics Momentum Polarity Detection: Combines RSI and MACD analysis to measure acceleration-based pressure Volatility Polarity Assessment: Tracks expansion versus contraction pressure through ATR analysis Each component addresses different aspects of market pressure dynamics. Price polarity reveals directional bias, volume polarity shows institutional flow, momentum polarity indicates acceleration changes, and volatility polarity measures market energy. Together, they create a comprehensive view of market pressure that traditional single-dimension indicators cannot provide. Core Components Explained 1. Price Polarity Engine Measures directional pressure from price movement: Price Change = close - close Price Range = highest(high, polarity_period) - lowest(low, polarity_period) Price Polarity = (Price Change / Price Range) * 100 Smoothed Price Polarity = ema(Price Polarity, smoothing) This calculation normalizes price movement against the recent range, providing a -100 to +100 scale where positive values indicate bullish pressure and negative values indicate bearish pressure. 2. Volume Polarity System Analyzes buying versus selling pressure through volume flow: Bull Volume = close > open ? volume : 0 Bear Volume = close < open ? volume : 0 Volume Polarity = ((sma(Bull Volume, period) - sma(Bear Volume, period)) / sma(Total Volume, period)) * 100 This reveals institutional flow direction by comparing accumulation (buying) volume against distribution (selling) volume over the specified period. 3. Momentum Polarity Calculator Combines RSI and MACD for comprehensive momentum analysis: RSI Polarity = (RSI - 50) * 2 // Scale to -100 to +100 MACD Histogram Normalized = (MACD Histogram / stdev(MACD Histogram, period)) * 30 Momentum Polarity = (RSI Polarity + MACD Normalized) / 2 This dual-momentum approach captures both relative strength (RSI) and trend acceleration (MACD) components. 4. Volatility Polarity Tracker Measures expansion versus contraction pressure: ATR Change = current ATR - ATR ATR Average = sma(ATR, polarity_period) Volatility Polarity = (ATR Change / ATR Average) * 100 Positive values indicate expanding volatility (energy building), while negative values show contracting volatility (energy dissipating). 5. Composite Polarity Index Weighted combination of all polarity dimensions: Composite Polarity = (Price Polarity * 0.35) + (Volume Polarity * 0.25) + (Momentum Polarity * 0.30) + (Volatility Polarity * 0.10) Final Polarity = ema(Composite Polarity, smoothing) * sensitivity The weighting emphasizes price and momentum while incorporating volume flow and volatility context. 6. Pressure Zone Classification The system defines seven distinct pressure zones: Extreme Bull Zone: Polarity ≥ 70 (Intense bullish pressure) Strong Bull Zone: Polarity 40-69 (Solid bullish pressure) Weak Bull Zone: Polarity 1-39 (Mild bullish pressure) Neutral Zone: Polarity = 0 (Equilibrium state) Weak Bear Zone: Polarity -1 to -39 (Mild bearish pressure) Strong Bear Zone: Polarity -40 to -69 (Solid bearish pressure) Extreme Bear Zone: Polarity ≤ -70 (Intense bearish pressure) 7. Polarity Shift Detection The system identifies four types of polarity shifts: Polarity Flips: Crosses zero line with sufficient strength (>30) Polarity Acceleration: Increasing momentum in extreme zones (>50 or <-50) Polarity Exhaustion: Weakening momentum in extreme zones (>80 or <-80) Pressure Temperature: Volatility-adjusted intensity measurement 8. Advanced Divergence Detection Uses pivot-based analysis to identify polarity divergences: Bullish Polarity Divergence: Price makes lower low while polarity makes higher low Bearish Polarity Divergence: Price makes higher high while polarity makes lower high Divergences are filtered by minimum polarity strength to ensure significance. Visual Elements Composite Polarity Wave: Main oscillator with advanced gradient coloring and triple-layer glow effect Individual Polarity Lines: Price, volume, and momentum polarity components Polarity Strength Histogram: Background columns showing absolute polarity strength Pressure Zone Backgrounds: Dynamic gradient backgrounds based on polarity intensity Reference Lines: Critical levels at ±40, ±70, and ±100 with neutral zone highlighting Polarity Shift Markers: Circles for flips, triangles for acceleration, X-crosses for exhaustion Divergence Diamonds: Large diamond markers for confirmed polarity divergences Dashboard: Comprehensive real-time display of all polarity components and signal status How Components Work Together The integration creates a multi-dimensional pressure analysis: Layer 1 - Price Pressure: Directional bias from pure price movement Layer 2 - Volume Pressure: Institutional flow through buying/selling volume Layer 3 - Momentum Pressure: Acceleration and relative strength dynamics Layer 4 - Volatility Pressure: Energy expansion/contraction context Layer 5 - Composite Analysis: Weighted combination revealing overall market polarity Layer 6 - Shift Detection: Identification of polarity transitions and extremes Layer 7 - Divergence Analysis: Price-polarity disconnects signaling potential reversals Example scenario: Price makes a new high (Layer 1) but volume polarity weakens (Layer 2), momentum polarity diverges (Layer 3), and volatility contracts (Layer 4). The composite polarity (Layer 5) shows bearish divergence (Layer 7) with exhaustion signals (Layer 6), indicating high reversal probability. Input Parameters Polarity Core: Polarity Period: Base period for polarity calculations (default: 14) Smoothing: Smoothing factor for polarity waves (default: 3) Sensitivity: Signal sensitivity multiplier (default: 1.5) Divergence Detection: Pivot Lookback: Bars for pivot detection (default: 5) Min Divergence Strength: Minimum polarity strength for signals (default: 60) Visual Settings: Show Polarity Waves: Toggle main polarity display Show Pressure Zones: Toggle background zone coloring Show Divergence Markers: Toggle divergence signals Show Polarity Shifts: Toggle shift detection markers How to Use This Indicator Step 1: Assess Overall Polarity Check the composite polarity level and current pressure zone classification in the dashboard. Step 2: Identify Pressure Extremes Look for extreme bull (>70) or extreme bear (<-70) zones where reversals are more likely. Step 3: Monitor Polarity Shifts Watch for polarity flips (zero line crosses), acceleration in extreme zones, or exhaustion signals. Step 4: Analyze Component Divergences Check if individual polarity components (price, volume, momentum) are aligned or diverging. Step 5: Detect Polarity Divergences Look for diamond markers indicating price-polarity divergences - these often precede major reversals. Step 6: Confirm with Pressure Temperature High pressure temperature (volatility-adjusted intensity) adds conviction to polarity signals. Step 7: Wait for Confluence Best setups occur when multiple factors align: extreme zones + polarity shifts + divergences + high temperature. Best Practices Use on 15-minute to 4-hour timeframes for optimal polarity detection Focus on extreme zones (>70 or <-70) for highest probability reversals Polarity flips provide early trend change signals with good risk:reward Divergences in extreme zones offer exceptional reversal opportunities Acceleration signals in extreme zones often precede explosive moves Exhaustion signals warn of potential polarity reversals before they occur High pressure temperature adds conviction to all polarity signals Component analysis helps understand the source of polarity changes Indicator Limitations Polarity can remain extreme longer than expected during strong trends Divergences may take time to resolve - patience is required Extreme zones don't guarantee immediate reversals - timing is crucial Component polarity may conflict, requiring interpretation skills Pressure temperature can spike during news events, creating false signals Polarity shifts may be brief and require quick decision-making Performance varies across different market conditions and volatility regimes Requires understanding of multi-dimensional pressure analysis concepts Technical Implementation Built with Pine Script v6 using: Multi-dimensional polarity calculation across four market aspects Advanced gradient coloring system with triple-layer glow effects Pivot-based divergence detection with strength filtering Dynamic pressure zone classification with background visualization Real-time polarity shift detection with multiple signal types Comprehensive dashboard with component breakdown and signal status Anti-overlap filtering to prevent signal clustering Pressure temperature calculation for volatility-adjusted intensity 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 multi-dimensional polarity approach. While individual components (RSI, MACD, volume analysis, ATR) are established concepts, this integration is justified because: It synthesizes four distinct polarity dimensions that address different market pressure aspects The composite polarity index provides a unified view of market pressure across multiple dimensions Advanced polarity shift detection identifies transitions before they become obvious in price Polarity divergence analysis reveals price-pressure disconnects that traditional indicators miss Pressure zone classification provides quantitative framework for market state assessment Pressure temperature adds volatility context to polarity intensity measurements Each component contributes unique polarity information: price polarity shows directional bias, volume polarity reveals institutional flow, momentum polarity indicates acceleration, and volatility polarity measures energy. The integration's value lies in identifying moments when these pressure dimensions align or diverge, creating high-probability trading opportunities. 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. Polarity analysis and divergence detection are analytical concepts that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and polarity patterns 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®指標
由officialjackofalltrades提供
Volume Heat Map by Green SquadThe Volume Heat Map measures relative participation intensity by normalizing current volume against its moving average. Instead of displaying raw volume, the indicator evaluates how active the market is relative to its recent baseline, allowing volume to adapt across timeframes, instruments, and changing volatility regimes. Core Logic At its foundation: Relative Volume = Volume / SMA(Volume, Length) 1.0 → Above-average participation < 1.0 → Below-average participation This relative ratio is classified into participation regimes: Cold → Weak activity Normal → Baseline conditions Warm → Expanding interest Hot → Strong engagement Very Hot → Aggressive order flow This transforms volume from a raw histogram into a structured participation state model. Bullish vs Bearish Classification Relative volume is paired with candle direction: Green spectrum → Bullish participation expansion Red spectrum → Bearish participation expansion This allows instant assessment of: Who is initiating pressure Whether momentum is supported by liquidity Whether a move is commitment-driven or thin The indicator does not measure delta, but it approximates initiative bias through price acceptance within the bar. Volume-Weighted Breakouts Breakouts are only highlighted when: Price exceeds a defined structural range Relative volume exceeds a minimum threshold This filters low-liquidity fakeouts and emphasizes breakouts supported by real participation. The logic reflects a fundamental auction principle: Structural expansion requires participation to sustain. Practical Application This indicator is diagnostic, not predictive. It is best used to: Confirm breakout strength Validate continuation setups Filter weak signals Detect early participation expansion before volatility expansion Volume expansion often precedes structural shifts. This tool isolates that transition in real time. Stay tuner for more trading tools.
Pine Script®指標
由Green_Squad提供
HTF Volume Liquidity Profile [AlgoAlpha]🟠 OVERVIEW This tool projects a volume profile from a higher timeframe directly onto your current chart. By breaking down historical price action into vertical intervals, it creates a heatmap of where volume was concentrated during that larger period. It maps out areas of high liquidity, showing exactly where buyers and sellers were most active, and displays a detailed breakdown of bullish versus bearish volume at specific price levels within that higher timeframe block. 🟠 CONCEPTS This script takes that concept and applies it to a higher timeframe, meaning you can look at a 5-minute chart and see the volume distribution for the entire day overlaid as a single block. It calculates the highest and lowest prices of the chosen timeframe and divides that range into smaller segments based on your resolution setting. It then tallies the volume of every lower timeframe candle that falls into each segment. It also splits this volume into positive and negative flows based on whether the individual candles closed green or red. This gives you a clear picture of net directional pressure at each price level, acting like a lightweight footprint chart. 🟠 FEATURES Higher timeframe volume heatmap overlaid directly on the current lower timeframe chart. Inner mini-boxes showing the exact proportion of bullish (green) vs bearish (red) volume at each specific price level. Summary label displaying total up volume, down volume, volume delta, and overall sentiment for the entire interval. 🟠 USAGE Setup : Add the script to your chart. Choose a higher timeframe that makes sense for your trading style (for example, use 1D if you are trading on a 5-minute or 15-minute chart). Adjust the resolution depending on how granular you want the price levels to be. Read the chart : Darker, more opaque background boxes mean a high amount of total volume was traded at that price level (High Volume Nodes). The inner mini-boxes show the tug-of-war at that level; a longer green inner box means buyers dominated that specific price, while a longer red one means sellers dominated. The label at the bottom of each block summarizes the total volume delta so you instantly know who won the overall period. Settings that matter : The Higher TimeFrame input dictates the width and duration of each volume profile block. The Profile Resolution input controls how many vertical slices the price range is divided into; increasing this adds finer detail but can visually clutter the chart if set too high.
Pine Script®指標
由AlgoAlpha提供
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®指標
由blockcircle提供
Smart Trader, Episode 04, by Ata Sabanci, Candles and Z ScoresSmart Trader, Episode 04 Candles and Z-Scores: A Statistical Approach to Market Analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ OVERVIEW This indicator applies Z-Score statistical analysis to measure how unusual current market conditions are compared to historical norms. It simultaneously analyzes five key metrics: Price, Total Volume, Buy Volume, Sell Volume, and Delta (Buy minus Sell) . The system detects 60 academically-researched market scenarios and provides visual feedback through Z-Lines (support/resistance levels), Event Markers, Trend Channels, and a comprehensive Dashboard. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE CONCEPT: WHY Z-SCORE? A Z-Score measures how many standard deviations a value is from its mean. In financial markets, extreme Z-Scores indicate statistically rare events that often precede significant price movements. Mathematical Formula: Z = (Current Value - Mean) / Standard Deviation Interpretation: • Z ≥ +2.0: Extremely high (occurs approximately 2.5% of the time) • Z ≥ +1.0: Above average • Z ≈ 0: Normal (near the mean) • Z ≤ -1.0: Below average • Z ≤ -2.0: Extremely low (occurs approximately 2.5% of the time) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ACADEMIC FOUNDATION This indicator is inspired by / grounded in market microstructure literature (abbreviated citations in-script) from market microstructure literature: • Price-Volume Relationship - Karpoff (1987), Journal of Financial and Quantitative Analysis, Cambridge Volume is positively correlated with price change magnitude • Order Flow Imbalance - Cont, Kukanov, Stoikov (2014), Journal of Financial Econometrics Order imbalance drives price more reliably than raw volume • Informed Trading (PIN Model) - Easley, Kiefer, O'Hara, Paperman (1996), Journal of Finance Buy/Sell imbalance reveals informed trader activity • Mixture of Distributions - Tauchen & Pitts (1983), Clark (1973) Volume clusters with volatility regimes • Volume Predictability - Gervais, Kaniel, Mingelgrin (2001) Volume shocks predict future returns • Liquidity & Order Imbalance - Chordia, Roll, Subrahmanyam (2002) Order imbalance affects short-term returns • Volume-Return Dynamics - Llorente, Michaely, Saar, Wang (2002) Speculation vs. risk-sharing patterns • Reversal vs. Continuation - Campbell, Grossman, Wang (MIT) High volume predicts lower autocorrelation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ VOLUME ENGINE The indicator offers two methods for decomposing total volume into Buy and Sell components: Method 1: Geometry (Approximation) Uses candle structure to estimate buying and selling pressure: Buy Volume = Total Volume × (Close - Low) / (High - Low) Sell Volume = Total Volume × (High - Close) / (High - Low) • Works on all instruments without additional data requirements • Fast calculation • Less precise than intrabar method Method 2: Intrabar (Precise) Uses Lower Timeframe (LTF) tick/second data to aggregate actual up-ticks versus down-ticks: • More accurate volume decomposition • Requires LTF data availability • Configurable LTF: 1T (tick), 1S, 15S, 1M Delta Calculation: Delta = Buy Volume - Sell Volume ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Z-SCORE SYSTEM The system calculates Z-Scores for five metrics simultaneously, using a configurable lookback period (default: 20 bars): • Zp (Price Z-Score): Measures price deviation from its mean • Zv (Volume Z-Score): Measures total volume deviation • Zbuy (Buy Volume Z-Score): Measures buying pressure deviation • Zsell (Sell Volume Z-Score): Measures selling pressure deviation • ZΔ (Delta Z-Score): Measures order flow imbalance deviation Threshold Constants: • ZH (Z High) = 2.0: Extreme threshold • ZM (Z Medium) = 1.0: Moderate threshold • Z0 (Z Zero) = 0.5: Near-zero threshold Group System: The analysis window is divided into groups (default: 5 groups × 20 bars = 100 bar total window). Group numbers (1, 2, 3...) are displayed above candles when enabled, helping identify the relative age of detected levels. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Z-LINES (SUPPORT/RESISTANCE LEVELS) When any metric reaches an extreme Z-Score, the system marks that price level as a significant support or resistance zone. Detection Logic: • Upper Z-Line: Drawn from the HIGH when Z ≥ upper threshold (default +2.0) • Lower Z-Line: Drawn from the LOW when Z ≤ lower threshold (default -2.0) Multi-Metric Detection: Z-Lines can be triggered by any of the five metrics (Price, Volume, Buy, Sell, Delta). When multiple metrics trigger at similar price levels, they are clustered together into a single combined label showing all contributing metrics. Persistence: Z-Lines persist for the entire analysis window (Period × Groups bars) and are NOT removed when price touches them. This allows traders to see historical support/resistance levels that may still be relevant. Anti-Overlap System: Labels are automatically repositioned to prevent overlap. The "Label Min Gap (%)" setting controls minimum vertical separation between ALL labels (both upper and lower), ensuring readability even when multiple levels cluster together. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EVENT DETECTION ENGINE (60 SCENARIOS) The system analyzes 60 distinct market scenarios based on Z-Score combinations. Each scenario is derived from academic research and assigned a confidence score based on signal strength and alignment. Notation: • Zp = Price Z-Score • Zv = Total Volume Z-Score • Zbuy = Buy Volume Z-Score • Zsell = Sell Volume Z-Score • ZΔ = Delta Z-Score • dirP = Price direction (+1 if Zp > 0.5, -1 if Zp < -0.5, else 0) • = Previous bar value • ZH = 2.0 (High threshold) • ZM = 1.0 (Medium threshold) • Z0 = 0.5 (Zero threshold) ───────────────────────────────────────────────────────────── CATEGORY A: PRICE-VOLUME (Events 1-10) Based on: Karpoff (1987), Tauchen-Pitts (1983), Clark (1973) ───────────────────────────────────────────────────────────── Event 1: Breakout Confirmed |Zp| ≥ ZH AND Zv ≥ ZH AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Bullish/Bearish (follows price direction) Event 2: Trend Strength Confirmed |Zp| ≥ ZH AND Zv ≥ ZH Direction: Follows price direction Event 3: Fragile Move |Zp| ≥ ZH AND Zv ≤ -ZM Direction: Warning (price move without volume support) Event 4: Weak Rally Zp ≥ ZH AND Zv ≤ -ZH Direction: Warning (price up without volume) Event 5: Weak Selloff Zp ≤ -ZH AND Zv ≤ -ZH Direction: Warning (price down without volume) Event 6: Momentum Build ZM ≤ |Zp| < ZH AND Zv ≥ ZH Direction: Follows price direction Event 7: Churn |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (high volume, low price movement) Event 8: Quiet Compression |Zp| ≤ Z0 AND Zv ≤ -ZH Direction: Neutral (low volume, low price movement) Event 9: High Volume Regime Zv ≥ ZH Direction: Neutral Event 10: Low Volume Regime Zv ≤ -ZH Direction: Neutral ───────────────────────────────────────────────────────────── CATEGORY B: ORDER-FLOW / DELTA (Events 11-16) Based on: Cont, Kukanov, Stoikov (2014), Easley, Kiefer, O'Hara, Paperman (1996) ───────────────────────────────────────────────────────────── Event 11: Imbalance Drives Price |ZΔ| ≥ ZH AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction (dirP), with delta alignment required Event 12: Divergence Top Zp ≥ ZH AND ZΔ ≤ -ZH Direction: Warning (distribution at top) Event 13: Divergence Bottom Zp ≤ -ZH AND ZΔ ≥ ZH Direction: Warning (accumulation at bottom) Event 14: Absorption Positive |Zp| ≤ Z0 AND Zv ≥ ZH AND ZΔ ≥ ZH Direction: Bullish (buy absorption, support forming) Event 15: Absorption Negative |Zp| ≤ Z0 AND Zv ≥ ZH AND ZΔ ≤ -ZH Direction: Bearish (sell absorption, resistance forming) Event 16: Depth Wall Zv ≥ ZH AND |ZΔ| ≥ ZH AND |Zp| ≤ Z0 Direction: Neutral (market depth absorbing) ───────────────────────────────────────────────────────────── CATEGORY C: BUY VS SELL (Events 17-23) Based on: Easley, Kiefer, O'Hara, Paperman (1996), Chordia, Roll, Subrahmanyam (2002) ───────────────────────────────────────────────────────────── Event 17: Aggressive Buy Dominance Zbuy ≥ ZH AND ZΔ ≥ ZH AND Zsell ≤ -ZM Direction: Bullish Event 18: Aggressive Sell Dominance Zsell ≥ ZH AND ZΔ ≤ -ZH AND Zbuy ≤ -ZM Direction: Bearish Event 19: Two-Sided Battle Zbuy ≥ ZH AND Zsell ≥ ZH AND |ZΔ| ≤ Z0 Direction: Neutral (buyers and sellers equally strong) Event 20: Battle with Buy Edge Zbuy ≥ ZH AND Zsell ≥ ZH AND ZM ≤ ZΔ < ZH Direction: Bullish Event 21: Battle with Sell Edge Zbuy ≥ ZH AND Zsell ≥ ZH AND -ZH < ZΔ ≤ -ZM Direction: Bearish Event 22: Hidden Accumulation Zbuy ≥ ZH AND |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Bullish (buy shock without price movement) Event 23: Hidden Distribution Zsell ≥ ZH AND |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Bearish (sell shock without price movement) ───────────────────────────────────────────────────────────── CATEGORY D: PREDICTABILITY (Events 24-26) Based on: Gervais, Kaniel, Mingelgrin (2001), Karpoff (1987) ───────────────────────────────────────────────────────────── Event 24: Volume Shock Positive Drift Zv ≥ ZH AND |Zp| ≤ ZM Direction: Follows price direction Event 25: Volume Shock Negative Drift Zv ≤ -ZH AND |Zp| ≤ ZM Direction: Opposite to price direction Event 26: Abnormal Volume Info Arrival Zv ≥ ZH Direction: Neutral ───────────────────────────────────────────────────────────── CATEGORY E: REVERSAL VS CONTINUATION (Events 27-30) Based on: Campbell, Grossman, Wang (MIT), Llorente, Michaely, Saar, Wang (2002) ───────────────────────────────────────────────────────────── Event 27: High Vol Reversal Risk Zv ≥ ZH Direction: Warning (high volume implies lower positive autocorrelation) Event 28: Low Vol Continuation Risk Zv ≤ -ZH Direction: Follows price direction (trend likely continues) Event 29: Speculation Continuation Zv ≥ ZH AND |ZΔ| ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction Event 30: Risk Sharing Reversal Zv ≥ ZH AND |ZΔ| ≤ Z0 Direction: Warning (potential reversal) ───────────────────────────────────────────────────────────── CATEGORY F: IMBALANCE LAG (Events 31-33) Based on: Chordia, Roll, Subrahmanyam (2002) ───────────────────────────────────────────────────────────── Event 31: Persistent Imbalance Push |ZΔ| ≥ ZM AND |ZΔ | ≥ ZM AND sign(ZΔ) = sign(ZΔ ) Direction: Follows delta direction (persistent pressure) Event 32: Imbalance Pressure Decay (ZΔ ≥ ZM AND ZΔ ≤ -ZM) OR (ZΔ ≤ -ZM AND ZΔ ≥ ZM) Direction: Warning (imbalance sign flip) Event 33: Intraday Imbalance Predicts |ZΔ| ≥ ZM Direction: Follows delta direction ───────────────────────────────────────────────────────────── CATEGORY G: SUPPORT/RESISTANCE (Events 34-36) Based on: Peskir (Manchester) ───────────────────────────────────────────────────────────── Event 34: SR Barrier Event |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (price stalls with high volume) Event 35: Volume Backed SR Level |Zp| ≤ Z0 AND Zv ≥ ZH AND |ZΔ| ≥ ZM Direction: Follows delta direction Event 36: Volume Poor SR Level |Zp| ≤ Z0 AND Zv ≤ -ZM Direction: Warning (weak S/R without volume) ───────────────────────────────────────────────────────────── CATEGORY H: EXTENDED ANALYSIS (Events 37-50) Based on: Extended market microstructure analysis ───────────────────────────────────────────────────────────── Event 37: Climax Buy Zbuy ≥ ZH AND Zp ≥ ZH AND Zv ≥ ZH Direction: Warning (extreme buying exhaustion, potential top) Event 38: Climax Sell Zsell ≥ ZH AND Zp ≤ -ZH AND Zv ≥ ZH Direction: Warning (extreme selling exhaustion, potential bottom) Event 39: Stealth Accumulation Zbuy ≥ ZM AND |Zp| ≤ Z0 AND Zv ≤ Z0 Direction: Bullish (quiet buying) Event 40: Stealth Distribution Zsell ≥ ZM AND |Zp| ≤ Z0 AND Zv ≤ Z0 Direction: Bearish (quiet selling) Event 41: Volume Divergence Bull Zp ≤ -ZM AND Zv ≤ -ZM Direction: Bullish (price down but volume declining) Event 42: Volume Divergence Bear Zp ≥ ZM AND Zv ≤ -ZM Direction: Bearish (price up but volume declining) Event 43: Delta Price Alignment |Zp| ≥ ZM AND |ZΔ| ≥ ZM AND sign(Zp) = sign(ZΔ) Direction: Follows price direction (strong trend confirmation) Event 44: Extreme Compression |Zp| ≤ Z0 AND Zv ≤ -ZH Direction: Neutral (very low volatility) Event 45: Volatility Expansion |Zp| ≥ ZH AND Zv ≥ ZH Direction: Follows price direction (breakout from compression) Event 46: Buy Exhaustion Zbuy ≥ ZH AND Zp ≤ Z0 Direction: Warning (high buy but price fails) Event 47: Sell Exhaustion Zsell ≥ ZH AND Zp ≥ -Z0 Direction: Warning (high sell but price holds) Event 48: Trend Acceleration |Zp| ≥ ZM AND |Zp| > |Zp | AND Zv ≥ ZM Direction: Follows price direction (increasing momentum) Event 49: Trend Deceleration |Zp| ≥ ZM AND |Zp| < |Zp | AND sign(Zp) = sign(Zp ) Direction: Warning (decreasing momentum) Event 50: Multi Divergence (Zp ≥ ZM AND ZΔ ≤ -ZM) OR (Zp ≤ -ZM AND ZΔ ≥ ZM) + |Zp| ≥ ZM AND Zv ≤ -ZM Direction: Warning (multiple divergence signals) ───────────────────────────────────────────────────────────── CATEGORY I: TREND-INTEGRATED (Events 51-60) Based on: Combined price-volume-delta trend analysis ───────────────────────────────────────────────────────────── Event 51: Trend Breakout Confirmed |Zp| ≥ ZH AND Zv ≥ ZH AND |ZΔ| ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction Event 52: Trend Support Test Zp ≥ ZM AND Z0 ≤ Zp < ZM AND ZΔ ≥ Z0 Direction: Bullish (pullback in uptrend) Event 53: Trend Resistance Test Zp ≤ -ZM AND -ZM < Zp ≤ -Z0 AND ZΔ ≤ -Z0 Direction: Bearish (rally in downtrend) Event 54: Trend Reversal Signal sign(Zp) ≠ sign(Zp ) AND |Zp| ≥ ZM AND |Zp | ≥ ZM Direction: Follows new price direction (momentum flip) Event 55: Channel Absorption |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (range-bound with volume) Event 56: Trend Continuation Volume |Zp| ≥ ZM AND Zv ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction (healthy trend with volume) Event 57: Trend Exhaustion |Zp| ≥ ZM AND Zv ≤ -ZM AND |Zp| < |Zp | Direction: Warning (trend losing steam) Event 58: Range Breakout Pending |Zp| ≤ Z0 AND Zv ≤ -ZH AND |ZΔ| ≥ ZM Direction: Follows delta direction (compression with imbalance) Event 59: Trend Quality High |Zp| ≥ ZM AND sign(ZΔ) = dirP AND Zv ≥ Z0 AND dirP ≠ 0 Direction: Follows price direction (strong aligned signals) Event 60: Trend Quality Low |Zp| ≥ ZM AND sign(ZΔ) ≠ dirP AND dirP ≠ 0 Direction: Warning (conflicting signals) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TREND CHANNEL SYSTEM The trend channel system is adapted from Smart Trader Episode 03 to provide consistent visual context for price action analysis. How It Works: • Divides the chart into blocks based on Z-Score groups • Calculates OHLC (Open, High, Low, Close) for each block • Detects Higher Highs/Higher Lows (uptrend) or Lower Highs/Lower Lows (downtrend) patterns • Draws channel lines connecting block extremes • Classifies by angle: steep angles indicate trends, flat angles indicate ranges Channel Classifications: • UPTREND: Higher highs and higher lows detected • DOWNTREND: Lower highs and lower lows detected • RANGE: Channel angle below threshold (default 10 degrees) Label Information: • Trend direction (UPTREND/DOWNTREND/RANGE) • Channel boundary prices • Distance from current price (absolute and percentage) • Channel angle in degrees ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DASHBOARD The dashboard provides a comprehensive real-time view of all Z-Score metrics and detected events. Dashboard Sections: 1. Header Row Displays indicator name and current calculation mode (CLOSED or LIVE). 2. Metric Rows (Price, Total Volume, Buy Volume, Sell Volume, Delta) Each row displays: • Value: Current metric value • Z: Calculated Z-Score • Visual: Graphical Z-bar showing position relative to mean • Status: Interpretation (Extreme High, Above Avg, Normal, Below Avg, Extreme Low) • Upper: Oldest active upper Z-Line in window (Label Mirror) • Lower: Oldest active lower Z-Line in window (Label Mirror) 3. Event Detection Section • Count of triggered events out of 60 total scenarios • Market Bias: Bull/Bear/Neutral percentage with visual bar • Strongest Event: Highest confidence event currently triggered • #2 Event: Second highest confidence event 4. Footer Shows engine type (Geometry/Intrabar), Z-Score period, calculation basis, and number of valid bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ALERT SYSTEM The indicator uses native alertcondition() functions, keeping the settings menu clean while providing comprehensive alert options in TradingView's alert dialog. Available Alert Categories: • Master Alerts: Any event, Any bullish, Any bearish, Any warning • Single Event Alerts: Individual alerts for key events (Breakout, Climax, Divergence, etc.) • Category Alerts: Alerts by event category (Price-Volume, Order-Flow, etc.) • Confluence Alerts: 2+, 3+, 4+, or 5+ aligned events • Bias Shift Alerts: 10%, 20%, or 30% shifts in market bias • High Confidence Alerts: Events with 60%+, 70%+, 80%+, or 90%+ confidence • Divergence Alerts: Price vs Volume or Price vs Delta divergences ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DATA ACCURACY AND LIMITATIONS This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations when using the Intrabar method. Data Accuracy Levels: • 1T (Tick): Most accurate, real volume distribution per tick • 1S (1 Second): Reasonably accurate approximation • 15S (15 Seconds): Good approximation, longer historical data available • 1M (1 Minute): Rough approximation, maximum historical data range Backtest and Replay Limitations: • Replay mode results may differ from live trading due to data availability • For longer backtest periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks A Note on Data Access: Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable calculations. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LANGUAGE SUPPORT (TRI-LINGUAL UI) This indicator includes a built-in language switch with three interface languages : • English (EN) • Türkçe (TR) • 한국어 (KO) The selected language updates key interface text such as the Dashboard headers/rows , tooltips , and the Event Engine outputs (event names, category names, and direction labels). Turkish diacritics and Korean Hangul are supported for clean, native readability. Why only three languages? Each additional language requires duplicating strings throughout the code, which increases script size/memory usage and compilation time. To keep the indicator optimized and responsive, language options are intentionally limited to three. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER FOR EDUCATIONAL AND RESEARCH PURPOSES ONLY This indicator is designed as an educational and research tool based on academic market microstructure literature. It is NOT financial advice and should NOT be used as the sole basis for trading decisions. Important Notices: • Past performance does not guarantee future results • All trading involves risk of substantial loss • The indicator's signals are statistical probabilities, not certainties • Always conduct your own research and consult qualified financial advisors • The creator assumes no responsibility for trading losses Research Sources: This indicator is built upon peer-reviewed academic research from: • Journal of Financial and Quantitative Analysis (Cambridge University Press) • Journal of Finance • Journal of Financial Econometrics • MIT Working Papers • arXiv Financial Mathematics
Pine Script®指標
由ata_sabanci提供
8
Smart Trader, Episode 02, by Ata Sabanci | Battle of Candles ⚠️ CRITICAL: READ BEFORE USING ⚠️ This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations. Please understand the following limitations before using: 📊 DATA ACCURACY LEVELS: • 1T (Tick) — Most accurate, real volume distribution per tick • 1S (1 Second) — Reasonably accurate approximation • 15S (15 Seconds) — Good approximation, longer historical data available • 1M (1 Minute) — Rough approximation, maximum historical data range ⚠️ BACKTEST & REPLAY LIMITATIONS: • Replay mode results may differ from live trading due to data availability • For longer back test periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks 💡 A NOTE ON TOOLS: Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure. 📌 OVERVIEW Smart Trader Episode 02: Battle of Candles is an advanced educational indicator that combines multiple analysis engines to help traders identify market scenarios and understand market dynamics. This is NOT financial advice or a trading signal service — it's a learning tool designed to help you understand how institutional traders might interpret price action. The indicator integrates 7 major analysis engines into a unified dashboard, providing real-time insights into volume flow, trend structure, market phases, and potential trade setups. ⚡ KEY FEATURES 🎯 16-Pattern Scenario Engine Automatically detects and classifies market conditions into 16 distinct scenarios, from strong continuation moves to potential reversals and traps. 💰 Trade Advisor Panel Aggregates all signals into actionable suggestions with confidence levels, suggested entry/SL/TP levels, and risk/reward calculations. 📊 Volume Engine Splits volume into buy/sell components using either Geometry (candle shape) or Intrabar (LTF data) methods for precise delta analysis. 📈 CVD (Cumulative Volume Delta) Tracks the running total of buying vs selling pressure to identify accumulation, distribution, and divergences. 🎯 Stop-Hunt Detection Identifies potential stop-hunt patterns where price sweeps liquidity levels before reversing. 📐 Pure Structure Trend Engine Zero-lag trend detection based on swing highs/lows (HH/HL/LH/LL) without any lagging indicators. ⚡ Effort vs Result Analysis Measures energy spent (volume) versus ground taken (price movement) to detect stalls, breakthroughs, and exhaustion. 🎯 SCENARIO ENGINE — 16 Market Patterns The Scenario Engine analyzes multiple factors (candle anatomy, volume, forces, CVD, wick analysis) to classify each candle into one of 16 scenarios: Continuation Scenarios (1-3) 1. ⚔️ STRONG MOVE — Big body candle (>60%) with volume confirming direction. Indicates strong momentum continuation. 2. 🛡️ ABSORPTION — One side attacks but the other absorbs the pressure. Price holds despite volume. Continuation expected in the absorbing side's favor. 3. 📉 PULLBACK — Small move against the trend with low volume. Indicates a healthy retracement before trend continuation. Reversal Scenarios (4-6, 13-16) 4. 💥 REJECTION — Big wick (>40%) with small body and high volume. Price was rejected at a level, potential reversal. 5. 🪤 TRAP — Pin direction disagrees with delta. Extreme wick size. Looks bullish/bearish but the opposite may happen. 6. 😫 EXHAUSTION — High energy spent (volume) but low ground taken (price movement). Both sides active but momentum fading. 13. 🔄 CVD BULL DIV — Price falling but CVD rising. Hidden buying detected (accumulation). Potential bullish reversal. 14. 🔄 CVD BEAR DIV — Price rising but CVD falling. Hidden selling detected (distribution). Potential bearish reversal. 15. 🎯 STOP HUNT BULL — Shorts were liquidated below support. Price swept liquidity and reversed. Expect bullish move. 16. 🎯 STOP HUNT BEAR — Longs were liquidated above resistance. Price swept liquidity and reversed. Expect bearish move. Range/Stalemate Scenarios (7-9) 7. ⚖️ DEADLOCK — Market in balance. Force ratio between 0.4-0.6. Low volume. No side winning. 8. 🔥 BATTLE — High volume fight in a range. Both sides attacking. Wicks on both ends of candle. 9. 🎯 WAITING — Building phase with quiet volume. Market is preparing but no trigger yet. Wait for breakout. Pre-Breakout Scenarios (10-12) 10. 🚀 BULL SETUP — Buyers accumulating in a building phase. Positive delta building. Bullish pressure growing. 11. 💣 BEAR SETUP — Sellers distributing in a building phase. Negative delta building. Bearish pressure growing. 12. ⚡ BREAKOUT — Price at boundary with strong candle and volume supporting. Imminent breakout expected. 💰 TRADE ADVISOR ENGINE The Trade Advisor aggregates all signals from the different engines into a single actionable output. It uses a weighted scoring system: Scoring Weights: • Scenario Signal: 30% • Trend Alignment: 20% • CVD Momentum: 15% + Divergence Bonus • Pin Forces: 15% • Liquidity Sweep: 12% • Stop-Hunt Detection: 10% • Effort vs Result: 10% Possible Actions: • ⏳ WAIT — Edge not strong enough (stay patient) • 🟢 LONG ENTRY — Buyers have strong advantage + signals align • 🔴 SHORT ENTRY — Sellers have strong advantage + signals align • ⚠️ CLOSE LONG/SHORT — Position at risk (reversal/trend flip) • 🛑 STOP LOSS — Price hit risk threshold • 💰 TAKE PROFIT — Target threshold reached 📊 EXTENDED INFO PANEL (Detailed Explanations) The Extended Info panel is hidden by default (toggle: Show Extended Info in settings). It provides detailed metrics that feed into the main engines: CVD ANALYSIS What is CVD? Cumulative Volume Delta (CVD) is the running total of Buy Volume minus Sell Volume. It reveals the underlying buying/selling pressure that may not be visible in price alone. CVD Value & Slope: • ↗ Rising: CVD increasing = net buying pressure (bullish) • ↘ Falling: CVD decreasing = net selling pressure (bearish) • → Flat: No clear pressure direction Accumulation vs Distribution: • Accumulation %: Shows buying pressure strength (0-100). High accumulation with CVD rising = strong bullish bias. • Distribution %: Shows selling pressure strength (0-100). High distribution with CVD falling = strong bearish bias. Divergence Alerts: • ⚠️ BULLISH DIVERGENCE: Price falling but CVD rising. Hidden buying = potential reversal UP. • ⚠️ BEARISH DIVERGENCE: Price rising but CVD falling. Hidden selling = potential reversal DOWN. WICK ANALYSIS Wick Torque: Torque measures the "rotational force" from wicks. It's calculated from wick length, volume, and body efficiency. • Positive Torque (Bullish): Bottom wick power dominates. Buyers defended lower prices. • Negative Torque (Bearish): Top wick power dominates. Sellers defended higher prices. • ⚡ High Torque (>30): Strong signal, significant wick rejection occurred. Stop-Hunt Detection: The engine detects when price has likely swept stop-losses clustered at key levels: • Stop Hunt Risk %: Likelihood score (0-100). Above 55% = confirmed hunt. • "Shorts hunted": Price swept below support, liquidating shorts, expect bounce UP. • "Longs hunted": Price swept above resistance, liquidating longs, expect drop DOWN. LIQUIDITY SWEEPS This section appears only when a liquidity sweep is detected. The engine monitors for price sweeping recent highs/lows and then reversing: • 🎯 LIQUIDITY SWEPT ABOVE: Price broke recent highs but closed back below. Longs trapped, expect DOWN. • 🎯 LIQUIDITY SWEPT BELOW: Price broke recent lows but closed back above. Shorts trapped, expect UP. POWER BALANCE The Power Balance meter shows the real-time strength comparison between buyers and sellers. Force Ratio: • 0% = Complete seller dominance • 50% = Perfect balance • 100% = Complete buyer dominance Visual Bar: • Left side (▓): Bear territory • Right side (▓): Bull territory • The bar is smoothed over recent history to reduce noise. EFFORT vs RESULT This section measures the efficiency of price movement relative to volume expended. Energy: How much volume was spent relative to the average. Energy > 1.0x means above-average volume activity. Ground: How much price movement occurred relative to average range. Ground > 1.0x means above-average price movement. STALL Warning: A STALL is detected when high energy is spent but low ground is taken (high effort, low result). This often indicates institutional battle, exhaustion, or imminent reversal. MARKET PHASE The Phase Engine classifies the current market regime: RANGE : No clear trend. Price confined to middle of channel. Low ADX. Balanced forces. Trade breakouts with caution. BUILDING : Compression/preparation phase. Channel tightening or boundary penetration without follow-through. Watch for breakout direction. TRENDING : Active directional move. Clear slope, good efficiency, price on trending side of channel. Favor pullback entries. Strength: 0-100% score combining slope, volume validity, and force/efficiency filters. Bars: How many candles the current phase has persisted. TRACK RECORD (Validation Panel) Enable with Show Validation Panel in settings. This section tracks the historical accuracy of scenario predictions: Accuracy: Percentage of validated predictions that were correct. Best/Worst Scenario: Shows which scenarios have the highest and lowest accuracy on the current symbol. Recent Signals: Last 5 predictions with their outcomes. ✓ = correct, ✗ = wrong, ⏳ = pending validation. ⚙️ SETTINGS GUIDE 📊 Volume Analysis Volume Calculation: Choose Geometry (estimates from candle shape) or Intrabar (precise LTF data). Intrabar Resolution: LTF for precise mode. Try 1S, 15S, or 1T. Must be lower than chart timeframe. History Depth: Candles stored in memory (5-50). Higher = more context, slower. Memory Lookback: Bars for moving averages and Z-scores (10-100). 🏷️ Market Phase Range Zone Width: How much of channel center is considered "range" (0.1-0.8). Trend Sensitivity: Minimum slope to detect trending. Lower = more sensitive. Min Episode Length: Minimum bars before phase can change. Prevents flickering. 🎯 Scenarios Min Confidence to Show: Only display scenarios above this confidence level (30-90). Bars to Validate: How many bars to wait before checking if prediction was correct. Success Move %: Minimum price movement to consider prediction successful. 💰 Trade Advisor Min Confidence for Entry: Minimum confidence to suggest a trade entry (50-90). Default Risk %: Stop loss distance as % of price (0.5-5.0). Min Risk/Reward: Minimum acceptable R:R ratio (1.0-5.0). 🔔 ALERT CONDITIONS The indicator provides the following alert conditions you can configure: • 🟢 LONG Entry Signal • 🔴 SHORT Entry Signal • ⚠️ Close LONG Signal • ⚠️ Close SHORT Signal • 🛑 STOP LOSS Alert • 💰 Take Profit Alert • 🚨 High Urgency Signal ⚠️ IMPORTANT DISCLAIMER EDUCATIONAL TOOL ONLY This indicator is designed for educational purposes to help users identify different market scenarios and understand how various signals might be interpreted. The Trade Advisor is NOT a recommendation to buy, sell, or invest. • Past performance does not guarantee future results • All trading involves risk of loss • The creator is not a licensed financial advisor • Always do your own research (DYOR) • Consult a qualified financial advisor before making any investment decisions By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
Pine Script®指標
由ata_sabanci提供
8
Smart Money Concept, Modern ViewSmart Money Concept, Modern View (SMCMV) Institutional Volume Flow Analysis with VWMA Matrix ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 OVERVIEW SMCMV is an advanced institutional-grade indicator that combines Volume-Weighted Moving Average (VWMA) matrix analysis with sophisticated volume decomposition to detect buyer and seller entry points. The indicator provides a comprehensive real-time dashboard displaying market structure, volume dynamics, and validated trading signals. Key Features: • Dual Volume Model: Geometry-based (candle range split) and Intrabar (precise LTF data) • 10-Period VWMA Spectrum: Multi-timeframe support/resistance matrix (7, 13, 19, 23, 31, 41, 47, 67, 83, 97) • 5-Layer Scoring System: 100-point institutional-grade signal quality assessment • State Machine Signal Engine: Validated entry/exit signals with timer and range confirmation • Real-time Prediction Engine: Candle-by-candle buyer/seller probability estimation • High Volume Node Detection: Automatic identification of significant volume zones ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 DASHBOARD REFERENCE 1) NOW VECTOR (Current Market State) This section captures the immediate market conditions: • FLOW ANGLE: Directional angle of price movement in degrees (from VWMA-5). Positive = bullish, Negative = bearish. • LTP: Last Traded Price - current close price. • NET FLOW (Δ): Volume Delta - net difference between buying and selling volume. Shows ⚡+ or ⚡-. • LIQUIDITY: Total volume on the current bar (K/M format). • BUY VOL: Estimated buying volume based on selected model. • SELL VOL: Estimated selling volume. • BID PRES.: Buying volume as percentage of total volume. • ASK PRES.: Selling volume as percentage of total volume. • DIRECTION: Current state with hysteresis: BULL (🐂), BEAR (🐻), or NEUT (⚪). 2) DATA QUALITY / CONFIG Configuration status and data integrity monitoring: • VOL MODEL: INTRABAR (uses LTF data) or GEOMETRY (estimates from candle structure). • IB LTF: Intrabar Lower Timeframe for precise volume decomposition. • MODE: Micro (7 periods: 7-47) or Macro (10 periods: 7-97). • IB OK: Intrabar data validity - OK or NO. • IB STREAK: Consecutive bars with valid intrabar data. • LATENCY: Data freshness indicator. ✓ = current, ↺ = using historical reference. 3) STRUCTURE RADAR Market structure analysis showing price position relative to VWMA matrix: • WIRES ▲/▼: Count of VWMAs above (resistance) and below (support). • RES: Nearest Resistance - shows MA period, "ZN RES", or "BLUE SKY". • SUPP: Nearest Support - shows MA period, "ZN SUPP", or "FREE FALL". 4) ACTIVE INTERACTION Real-time analysis of price interaction with key levels: • Header Status: "⚠ TESTING SUPPLY (ASK SIDE)" / "⚠ TESTING DEMAND (BID SIDE)" / "--- NO KEY INTERACTION ---" • TARGET: Active level being tested (MA period or zone type). • TEST LEVEL: Exact price level being tested. • SCORE: Total score (0-100%) with letter grade . • VOLUME POWER: Volume ratio vs historical average (e.g., "2.5x"). • BREAKOUT: "CONFIRMED" if attacking volume exceeds defending, "REJECTED" otherwise. • DELTA DIR: "ALIGNED" if delta matches accumulation trend, "CONFLICT" if opposing. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 5-LAYER SCORING SYSTEM (100 Points Total) Layer 1: Volume Quality (Max 25 pts) • Mass (0-10): Volume ratio vs average. 0.5x=0, 1.0x=5, 2.0x=8, 3.0x+=10 • Spike (0-8): Volume Z-Score intensity • Trend (0-7): Volume trend alignment with price direction Layer 2: Battle Structure (Max 25 pts) • Break (0-10): Breakout intensity ratio (attacker vs defender) • Dom (0-8): Internal dominance ratio • Pres (0-7): Pressure imbalance percentage Layer 3: Flow & Energy (Max 20 pts) • Delta (0-8): Delta alignment with accumulation trend • Accel (0-6): Delta acceleration • Mom (0-6): Flow momentum Layer 4: Geometry (Max 15 pts) • Impact (0-7): Impact angle directness • Vec (0-5): Vector alignment • PriceZ (0-3): Price Z-Score position Layer 5: Army Structure (Max 15 pts) • Stack (0-5): MA stack depth • Conf (0-5): Confluence percentage • Trend (0-5): Trend alignment count (7>13, 13>23, 23>97) Grade Scale: • A+ = 90-100 pts (Exceptional) • A = 80-89 pts (Strong) • B+ = 70-79 pts (Good) • B = 60-69 pts (Moderate) • C+ = 50-59 pts (Below average) • C/D/F = Below 50 pts (Weak) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5) SIGNAL STATUS PANEL Real-time signal state machine status: • Header: "🐂 BUYERS ACTIVE" / "🐻 SELLERS ACTIVE" / "⏳ VALIDATING..." / "⏸ RANGE / FLAT" • LOCK PRICE: Price at which signal was locked/confirmed. • RANGE ±: Validation range percentage. • POSITION: Price vs lock: "▲ ABOVE" / "▼ BELOW" / "● AT LOCK" • DISTANCE: Percentage distance from lock price. • vs RANGE: Position vs validation range: "IN_RANGE" / "ABOVE" / "BELOW" • VAL TICKS: Validation progress (current/required ticks). 6) REALTIME PREDICTION PANEL Candle prediction engine: • WINNER: Predicted dominant side: "BUYERS" / "SELLERS" / "NEUTRAL" • CONFIDENCE: Prediction confidence percentage. • ACCURACY: Historical prediction accuracy (session-specific). • BUY/SELL PROB: Individual probabilities for each side. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏷️ SIGNAL LABELS REFERENCE • 🐂 BUYER ENTRY (Green): Confirmed buyer entry signal. Validation complete. • 🐻 SELLER ENTRY (Red): Confirmed seller entry signal. Validation complete. • 🔻 REVERSAL BUY→SELL (Magenta): Reversal from buyer to seller position. • 🔺 REVERSAL SELL→BUY (Cyan): Reversal from seller to buyer position. • ⏹ EXIT → FLAT (Gray): Position exit to flat/neutral state. • ⬆ BUYER STRONGER (Small Green): Lock price updated higher during buyer state. • ⬇ SELLER STRONGER (Small Red): Lock price updated lower during seller state. Display Modes: • Minimal: Icon only (hover for tooltip details) • Normal: Icon + Price level • Detailed: Full information (price, score, grade) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 CHART ELEMENTS VWMA Spectrum Lines Colored gradient lines representing the 10-period VWMA matrix. Color progresses from light blue (fast: 7-period) through purple to orange (slow: 97-period). These act as dynamic support/resistance levels weighted by volume. High Volume Node Lines • Blue Lines: High Buy Volume zones - potential demand areas • Red Lines: High Sell Volume zones - potential supply areas • Yellow Lines: Overlapping zones (buy + sell extremes) - high conflict areas Lock Price Line & Range Band • Dashed Line: Locked price level (green for buyers, red for sellers) • Dotted Lines: Upper/lower bounds of validation range ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ INPUT SETTINGS GUIDE Volume Model • Calculation Method: "Geometry (Candle-Range Split)" for universal compatibility or "Intrabar (Precise)" for accurate buy/sell separation. • Intrabar LTF: Lower timeframe for Intrabar mode (e.g., "1" for 1-minute). Direction Filter • Direction Trigger Angle: Threshold for directional state change (default: 1.5°) • Neutral Reset Angle: Threshold for returning to neutral (default: 0.7°) Testing Filter • Level Proximity (%): How close price must be to "test" a level (default: 0.25%) • Require Wick Touch: If enabled, requires high/low to touch proximity band. Signal Validation • Lock Range (%): Price range for validation (default: 0.5%) • Validation Ticks: Consecutive bars required (default: 3) • Validation Time: Minimum seconds for real-time confirmation (default: 5) • Minimum Hold Bars: Stay in position for at least this many bars (default: 5) • Exit Mode: "Reversal Only" / "Signal Loss" / "Price Stop" • Stop Loss (%): Exit threshold (default: 1.0%) Signal Score Filter • Score Range Minimum: Minimum score for signal generation (default: 10%) • Score Range Maximum: Maximum score threshold (default: 100%) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 USAGE RECOMMENDATIONS 1. Start with Macro mode to see the complete VWMA spectrum, then switch to Micro for cleaner charts. 2. Use Intrabar mode when your broker provides lower timeframe data. 3. Focus on high-grade signals (B+ or better) for higher probability setups. 4. Wait for validation to complete before acting on signals. 5. Use the Lock Price line as your reference for position management. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTES • This indicator is designed for educational and analytical purposes. • Always combine with proper risk management and additional confirmation. • Past performance and signal quality do not guarantee future results. • The prediction accuracy is session-specific and resets on chart reload. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Volume-Based Indicator — Data Granularity & Table Guide 1) Critical warning about data granularity (read first) Important: This indicator is built entirely on volume-derived calculations (volume, volume delta, and related flow metrics). Because of that, its precision is only as good as the granularity and history of the data you feed it. The most granular view is a tick-based interval (e.g., 1T = one trade/tick). If tick-based intervals are not available for your symbol or your plan, the closest time-based approximation is a 1-second chart (1S). If you enable any "high-precision / intrabar" options (anything that relies on the smallest updates), make sure you understand which TradingView plan you are using, because intrabar historical depth (how many bars you can load) varies by plan. More history generally means more stable baselines for volume statistics, regime detection, and long lookback features. Plan-related notes (TradingView) TradingView limits how many intrabar historical bars can be loaded, depending on your plan. The exact limits are defined by TradingView and can change over time, but as of the current documentation, the intrabar limits are: • Basic: 5,000 bars • Essential: 10,000 bars • Plus: 10,000 bars • Premium: 20,000 bars • Expert: 25,000 bars • Ultimate: 40,000 bars Tick charts / tick-based intervals are currently positioned as a feature of professional-tier plans (e.g., Expert/Elite/Ultimate). Availability may also vary by symbol and data feed.
Pine Script®指標
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