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Volumeanalysis

Candle Volume POCCandle Volume POC estimates the point of control for each individual candle using lower-timeframe volume data. The script builds price bins inside each candle, distributes lower-timeframe volume across the bins touched by each lower-timeframe candle, then marks the price area with the highest accumulated volume. Default lower timeframe is 15 seconds for higher precision. If your TradingView plan does not support seconds data, use 1 minute instead. Notes: - This is an approximation because Pine Script does not provide true tick-level volume-at-price data. - Lower timeframes improve precision but reduce how far back TradingView can calculate due to intrabar history limits. - POC marks may extend to the right on bearish candles when the POC is hidden inside the candle body.
Indicador Pine Script®
por tiprolin
Volume Z-ScoreVolume Z-Score highlights candles with statistically unusual volume using a rolling z-score calculation. The script compares each candle’s volume to the average volume over the selected lookback period, then measures how many standard deviations the current volume is above or below that average. Candles are colored by volume deviation level: - Z-score > 1, > 2, and > 3 for unusually high volume - Z-score < -1, < -2, and < -3 for unusually low volume The default lookback is 60 candles. Candle colors are fully customizable, and alerts are included for each high-volume and low-volume threshold.
Indicador Pine Script®
por tiprolin
Volume Delta Scanner [ZynAlgo]Real-Time Alert System Provides alerts when divergence conditions are detected. Input Settings 1. Volume Flow Normalization Normalization Lookback Range Defines the historical range used to normalize volume data. Lower values: Increase sensitivity React faster to short-term changes Higher values: Provide more stability Are better suited for larger market structures Compute Flow Divergence Matrix Enables or disables the divergence detection engine. Volume Delta Lower Timeframe Defines the lower timeframe used for internal delta calculations. Examples: 15 minute chart: 1 minute delta 5 minute chart: 15 second or 1 minute delta Cumulative Volume Delta Period Controls the accumulation range used for cumulative delta analysis. 2. Divergence Pivot Architecture Pivot Scanner Lookback Left Defines the strength requirement for the left side of a pivot structure. Higher values: Produce fewer signals Create stronger structural pivots Pivot Scanner Lookback Right Defines the confirmation bars required on the right side of the pivot. Lower values: Generate faster signals Provide earlier but more sensitive confirmation Higher values: Provide stronger confirmation Create slower but more selective divergence detection Maximum Structural Bar Spacing Defines the maximum distance allowed between pivot structures. Minimum Structural Bar Spacing Defines the minimum distance allowed between pivot structures. Signal Interpretation Bullish Divergence Bullish divergence occurs when price forms a lower low while participation behind the move begins to weaken. This often reflects: Decreasing selling pressure Trend exhaustion Possible absorption activity within the market The indicator displays an upward divergence marker on the chart, along with volume and delta data at the divergence zone. Bullish divergence example: Bearish Divergence Bearish divergence occurs when price forms a higher high while participation behind the move begins to weaken. This often reflects: Buyer weakness Weakening momentum Possible distribution behavior The indicator displays a downward divergence marker on the chart, along with volume and delta data at the divergence zone. Bearish divergence example: Volume and Delta Metrics Each divergence signal includes: Total volume Delta value Participation direction This helps traders: Evaluate divergence quality Analyze internal pressure Observe the strength of market participation Metrics example: Recommended Usage The indicator may be useful during: Trend exhaustion Liquidity sweeps Failed breakouts Market reversals Distribution or accumulation phases Weak continuation structures Recommended Confluence To improve analysis quality, the system can be combined with: Market structure Liquidity zones Support and resistance Session timing Delta confirmation Absorption analysis Trend context How to Use Add the indicator to the chart. Select a normalization lookback suited to the market and timeframe. Choose a lower timeframe for delta calculations. Adjust pivot lookback settings based on how selective the divergence detection should be. Watch for bullish or bearish divergence markers at structural pivots. Review the displayed volume and delta metrics at the divergence zone. Confirm divergence with broader market structure, liquidity, trend context, and risk planning. Limitations Divergence is an analysis condition, not a guaranteed reversal signal. Signals depend on structural pivot confirmation and may appear later when stronger confirmation settings are used. Lower timeframe delta calculations depend on the data available for the symbol and timeframe. Volume and delta behavior can weaken before price reverses, consolidates, or continues. The indicator does not provide automatic trade entries, exits, or position management. Past divergence behavior does not guarantee future results. Important Note This indicator is an analysis tool only. It does not provide financial advice, investment advice, or guaranteed trading results. Users are responsible for their own trading decisions and risk management.
Indicador Pine Script®
por ZynAlgo
The Boy Plunger | AnonycryptousThe Boy Plunger | Anonycryptous Description & user manual Why is this indicator different? Most breakout indicators do one thing: they draw a line and fire a signal when price crosses it. They do not ask whether the move is real. They do not ask whether the volume confirms it. They do not ask whether the broader trend supports it. They just fire. The Boy Plunger is built on a different philosophy. It does not look for crossings. It looks for proof. Every signal in this indicator requires the market to pass through a series of gates before anything fires. A key structural level must be present. Price must approach it with observable intent. Volume must confirm participation. The body of the breakout candle must show conviction. The ribbon must be aligned with the move. Only when all required conditions are satisfied does a signal appear. This is confirmation trading in its strictest form. It produces fewer signals than most indicators. That is not a weakness. That is the point. Most indicators on TradingView that claim to be based on Livermore's method are either a single pivot high/low scanner or a basic breakout line. None of them implement the full confirmation philosophy — the waiting zone, the volume proof, the structural gate, the failed breakout detection. This indicator does all of that in a single tool, across all markets and timeframes, with a modular seven-preset system that lets you trade pure Livermore methodology or adapt it to modern intraday conditions. A tribute to Jesse Lauriston Livermore (1877-1940) He started with five dollars and a notebook. No connections, no capital, no safety net — just the ability to read price and the discipline to wait. By 1929 he had turned that into an estimated one hundred million dollars, shorting the crash while the rest of the world burned. He defined what it means to trade with conviction. Wait for the decisive point. Watch how the market behaves around key levels. Demand proof before committing. Exit without hesitation when the market proves you wrong. He called these moments pivot points — not a formula, but a philosophy. The market reveals its hand when it breaks away from structure with strength and volume. Everything before that is noise. But Livermore also lost it all. Four times. He broke his own rules, overtraded, let emotion overrule his system. The man who made one hundred million dollars was declared bankrupt in 1934. On November 28, 1940, he took his own life in a New York hotel. His farewell note read: "My life has been a failure." It wasn't. He gave traders a language to describe what markets do. A century later, his observations are still the foundation of how serious traders think about price. This indicator is built on his principles: - structure defines the battlefield - volume confirms the move - trend determines the direction - proof before entry, always What you do with it is your decision. 1. Overview The Boy Plunger is a multi-engine confluence indicator built for traders who want to trade with structure, confirmation, and discipline. It works on all markets and timeframes — equities, crypto, futures, forex, indices. Nothing is hardcoded to a specific instrument. The indicator contains seven engines that work together: - Silk ribbon — multi-strand MA system for macro trend - Htf levels — higher timeframe pivot structure as key levels - Volume engine — spike detection with delta confirmation - Signal gate — preset-based multi-condition filter - Fvg engine — fair value gap detection for entry refinement - Htf reversal radar — multi-timeframe warning system - Trade block — locked entry, stop, and take profit management All seven engines are visible simultaneously on the main chart. The dashboard gives you a real-time read of every active condition. The trade block locks the moment a signal fires and does not move until the trade is resolved. 2. The waiting zone system This is the core visual innovation of the indicator. Rather than coloring elements only when a signal fires, every component communicates the current stage of a developing setup: Scanning — price is away from any key level. The ribbon is grey and dimmed. No setup is developing. Watching — price has entered the proximity zone around a key htf level (within a configurable ATR distance). The level turns gold. The waiting zone is active. This is the "I am watching" state that Livermore described — the market is approaching the decisive point but has not proven anything yet. Confirmed — price breaks the level with volume spike and body conviction. Everything fires to full color. The signal candle is highlighted. If the preset requires it, the signal fires. This three-state system means the chart is always telling you something — not just when a signal happens, but what stage of development you are in. Scanning means relax. Watching means pay attention. Confirmed means decide. 3. Presets The indicator has seven presets that define which gates are required for a signal to fire. You change the preset in the settings under the preset group. Livermore The purest implementation of his method. No EMA gate — he did not use EMAs. Level proximity required. Volume spike required. Body conviction required. This preset is designed for traders who want to apply his original philosophy as closely as possible to modern markets. The recommended cooldown is 10 bars based on testing across multiple instruments — long enough to avoid noise, short enough to catch valid retests of confirmed levels. Best results observed on 15m and above. Boy plunger The intraday adaptation. Macro trend gate added via the ribbon (HMA 8/21 by default). Level required. Volume required. Body required. Cooldown shorter by default. Built for scalp-oriented traders who want Livermore's structure logic on faster timeframes. The HMA is used instead of EMA because of its faster response and cleaner directional read on lower timeframes. Ribbon Uses the MA cross as the primary gate. The level acts as a structural filter rather than a requirement. Best for trend-following traders who want ribbon-confirmed entries near key structure. Sensitive Level and volume spike only. No trend gate, no body filter. Produces more signals. Use when you want maximum opportunity detection and prefer to filter visually yourself. Balanced Trend, level, and volume. The middle ground between sensitivity and selectivity. Recommended starting point if you are new to the indicator. Fvg entry Balanced gates plus a requirement that price is inside an active fair value gap at signal time. This produces the tightest entries and smallest stop distances. Note: fair value gaps are not part of Livermore's original methodology. This preset is for modern traders who combine his structural philosophy with imbalance-based entry timing. Custom All engine gates become individual toggles. You build your own preset. Every toggle has a tooltip explaining its function and its relationship to Livermore's original method. 4. The silk ribbon The ribbon consists of seven MA strands between your fast and slow periods, with gradient fills between them. The MA type applies to all strands simultaneously. Available types: EMA, HMA, DEMA, TEMA, ZLEMA. HMA is recommended for intraday scalping. EMA is more stable for swing setups. DEMA and TEMA reduce lag further but can be noisy on short timeframes. ZLEMA minimizes lag while maintaining smoothness. The ribbon colors purely based on trend direction: - Green when fast strand is above slow strand (bull) - Red when fast strand is below slow strand (bear) - Grey when flat The color intensity and fill transparency are controlled by a single transparency slider. The fast strand width is separately configurable. Cross signals (tiny circles) fire when the fast and slow strands cross. These are early warnings of potential trend change, not entry signals by themselves. 5. Htf levels The indicator pulls pivot highs and lows from a higher timeframe of your choice using request.security. This means the levels you see on your 1m or 5m chart are actual structural levels from the 4h or daily chart — not redrawn approximations. You can set a separate count for resistance levels and support levels. The nearest-only toggle reduces this to one resistance and one support — the most relevant levels on each side of price. Each level has three visual states that match the waiting zone system described above. Scanning levels are dimmed. Watching levels turn gold. Confirmed breakout levels turn green or red. An optional current timeframe overlay adds the pivots from your active chart at high transparency. This gives structural context without cluttering the main htf levels. The failed breakout marker fires when price confirms a level, then returns through it within a configurable number of bars. This is the direct implementation of Livermore's rule: if the market moves back against you after a breakout, exit quickly with a small loss. 6. Volume engine The volume engine has two components: Spike detection: volume must exceed the configurable-period SMA multiplied by the spike multiplier. Default is 1.5x — meaning volume must be at least fifty percent above average to qualify. Body conviction: the candle body must represent at least a configurable percentage of the total candle range. Default is 55%. This filters out doji candles and wick-heavy indecision candles from being counted as confirmed breakouts. The volume halo appears on the chart for every spike bar. Its height scales with the volume ratio — a 3x spike produces a taller halo than a 1.5x spike. The halo color uses delta logic: - Green for bull body with conviction (buying commitment) - Red for bear body with conviction (selling commitment) - Gold for high-volume doji or mixed candle (institutional activity, unclear direction) The ratio text inside the halo shows the exact multiple (2.1x, 3.4x, etc.). Its opacity scales with strength — a weak spike shows faint text, a strong spike shows full text. This means glancing at the halo tells you both the direction and magnitude of institutional participation at that bar. 7. Htf ghost candles The ghost candle engine projects the last N closed higher timeframe candles to the right of your chart, plus the current live (unfinished) htf candle. This gives you the htf price structure in candle form without switching timeframes. The ghost candle timeframe is independent from the htf level timeframe. You can show 4H structural levels while projecting 1H ghost candles, or combine them however fits your workflow. Closed candles are drawn left to right, oldest to newest. Each candle consists of a body box and a wick line. Bull candles are green, bear candles are red. No time labels appear on any candle — pure price structure only. The live candle (the current unfinished htf bar) is drawn rightmost in a gold tint to distinguish it from closed candles. As the htf bar develops, this candle updates in real time. Optional OHLC labels show the high, low, and close price to the right of each candle. The close label uses the candle direction color (green or red). High and low labels are grey. Configurable settings: - Ghost candle timeframe (independent from htf level TF) - Number of closed candles to show (1-8) - Right offset from last bar - Candle width in bars - Gap between candles - OHLC labels on/off - Bull, bear, wick, and live candle colors 8. Fair value gaps Fair value gaps are three-bar imbalances where the middle candle leaves a gap between the high of the first candle and the low of the third candle (for bullish gaps) or the reverse. They represent areas where price moved too fast to fill orders on both sides. In this indicator, fvgs are disabled by default in all presets except fvg entry. This is intentional — they are not part of Livermore's method and were not available to him. They are provided as an optional tool for traders who use modern imbalance concepts alongside structural analysis. When enabled, fvgs show partial mitigation as price fills them progressively. Fully mitigated gaps are either removed or shown in a dimmed grey depending on your settings. The max visible fvg count prevents the chart from becoming cluttered on instruments with frequent gaps. 9. Htf reversal radar The reversal radar monitors three configurable higher timeframes simultaneously for potential reversal conditions. A warning fires when two or more timeframes show: - An EMA cross in the opposite direction to the current trend, or - An RSI extreme exit (above 70 crossing back down, or below 30 crossing back up) The warning appears as a small diamond plotshape and is reflected in the dashboard. It does not block signals — it is contextual information that something may be changing on higher timeframes while you are looking at a lower timeframe setup. 10. Rsi divergence The divergence engine compares price pivot highs/lows to RSI pivot highs/lows. Bullish divergence fires when price makes a lower low but RSI makes a higher low. Bearish divergence fires when price makes a higher high but RSI makes a lower high. Lines are drawn connecting the pivots that form the divergence. A small "div" text label appears at the endpoint. Line width and colors are separately configurable. Divergence does not gate signals in any preset. It is contextual information — a potential warning that momentum is weakening even as price extends. 11. Signal quality filters Three additional filters apply across all presets: Cooldown: a minimum number of bars must pass between signals. This prevents multiple signals from firing on the same setup as it develops. Recommended: 10 bars as a starting point. Adjust based on your timeframe and how often valid setups appear. The dashboard shows either "ready" or the number of bars remaining. Max ATR distance: if price is too far extended from the ribbon fast strand, the signal is blocked. This prevents entries on moves that are already largely done. Default is 3 ATR from the ribbon. Pullback gate: an optional filter that requires price to return toward the ribbon after a breakout before confirming an entry. This is the cleanest implementation of Livermore's preferred entry timing — let the level break, let the market prove it wants to go, then enter on the retest rather than the initial breakout. Fewer signals, better risk to reward. 12. Trade block The trade block appears only when a trade is active. It locks the moment a signal fires and does not move until the trade closes. Components: - Entry line with label showing price and direction - Stop line (ATR, swing high/low, or hybrid of the two) - Three take profit lines at configurable R multiples - Risk zone box between entry and stop - Reward boxes between entry and each TP - Phase label above TP3 showing preset and direction - R:R ratio and win rate displayed in the reward zone TP lines dim when not yet reached and become fully saturated when hit. This gives you an immediate visual read of where you are in the trade without looking at the dashboard. When the trade closes, a labeled exit appears at the exit candle: - tp1, tp2, tp3 in green with dark text - sl in red with dark text - trail in gold with dark text These labels remain on the chart after the trade closes so you can review the history. Stop loss modes: - ATR: stop at entry plus or minus ATR multiplied by a configurable value - Swing: stop at the recent swing high or low - Hybrid: the wider of the two — provides the most structure-aware placement Trail stop activates after TP1 is hit. After TP1, the stop moves to breakeven. After TP2, the stop trails behind the ribbon fast strand with a configurable buffer. 13. Dashboard reference The dashboard updates every bar at the latest bar. All values are live. Htf — the timeframe driving the structural levels Macro trend — ribbon direction (bull / bear) Ribbon — active MA type Active level — nearest htf pivot level to current price Level state — scanning / watching / confirmed up / confirmed down Volume ratio — current bar volume relative to the SMA (e.g. 1.8x avg or spike 2.3x) Body ratio — current candle body as percentage of total range Fvg active — count of active unmitigated bull and bear fvgs Divergence — bull div or bear div if active, otherwise -- Htf radar — number of higher timeframes showing reversal conditions Signal gate — active preset name Last signal — most recent signal direction and whether trade is active Tp progress — three dots showing current trade's TP hit status (o unlit, ^ hit) Tp1 rate — percentage of total trades that reached TP1 Tp2 rate — percentage of total trades that reached TP2 Tp3 rate — percentage of total trades that reached TP3 Failed breakouts — cumulative count of failed breakout signals Long win rate — TP1 hit rate on long signals only Short win rate — TP1 hit rate on short signals only Cooldown — bars remaining before next signal is allowed, or "ready" 14. Settings overview Preset group - Signal gate preset (7 options) - Custom gate toggles (active only in custom preset) - Signal cooldown on/off and bar count - Pullback gate on/off and window - Max ATR distance on/off and multiplier Silk ribbon group - Show ribbon on/off - MA type - Fast and slow periods - Ribbon transparency slider - Fast strand width - Show cross signals on/off - Bull and bear cross colors Htf levels group - Htf timeframe - Pivot length - Max resistance levels shown (1-8) - Max support levels shown (1-8) - Nearest only toggle - Level line width - Resistance, support, watching, and confirmed colors - Show current TF levels on/off - Current TF pivot length - Watching zone ATR distance - Failed breakout lookback bars Volume engine group - Show volume halo on/off - Volume SMA length - Spike multiplier - Min body ratio - Halo height ATR multiplier Htf ghost candles group - Show ghost candles on/off - Ghost candle timeframe - Number of candles to show - Right offset, width, and gap between candles - Show OHLC labels on/off - Bull, bear, wick, and live candle colors Fvg group - Show fvgs on/off (off by default except in fvg entry preset) - Max visible fvg count - Min gap size in ATR - Extend to right on/off - Keep mitigated gaps on/off - Bull, bear, and mitigated colors Htf reversal radar group - Enable radar on/off - Three radar timeframes Divergence group - Show divergence on/off - Pivot left and right lookback - Max bars between pivots - Show divergence lines on/off - Line width - Bull and bear divergence colors Trade block group - Show trade block on/off - Show exit labels on/off - Exit label colors (TP, SL, trail) - SL source (ATR, swing, hybrid) - ATR stop multiplier - Swing lookback - TP1, TP2, TP3 R multiples - Trail stop on/off - Trail buffer ATR multiplier - Project bars (width of the trade block) Dashboard group - Show dashboard on/off - Position (four corners) - Size (tiny, small, normal) 15. How to use — beginners If you are new to technical analysis and confluence-based trading, start here. Step 1: add the indicator and set the preset to "balanced." Step 2: set your htf timeframe to something higher than the chart you are watching. If you are on a 5m chart, use 1H. If you are on a 15m chart, use 4H. Step 3: watch the dashboard. When level state changes from "scanning" to "watching," that means price is approaching a key level. This is your cue to pay close attention. Step 4: wait. Do not act on "watching." Wait for volume to confirm. Wait for the ribbon to be aligned. Wait for the body ratio to show a conviction candle. When the level state changes to "confirmed," that is when the indicator agrees a signal may be valid. Step 5: if a triangle signal appears below or above a candle, that means all preset gates passed simultaneously. The trade block will lock your entry, stop, and targets automatically. Step 6: manage the trade with the trade block. Watch the TP progress dots in the dashboard. When dots light up, TPs are being hit. Step 7: after the trade closes, look at the exit label on the chart. This tells you how the trade resolved — tp1, tp2, tp3, sl, or trail. Step 8: over time, watch the dashboard metrics. TP1 rate above 60% on your chosen preset and timeframe is a solid foundation. If it is below 50%, try adjusting the cooldown, the volume multiplier, or the htf level pivot length. 16. How to use — experienced traders For traders who understand confluence and want to customize the indicator for their own methodology: The custom preset gives you individual control over every gate. Use this if you have a specific condition combination that the named presets do not cover. The pullback gate is the highest-value optional filter in the indicator. Enable it if you find that your signals are entering too early on breakout candles and getting caught in the initial wick. It waits for price to retrace toward the ribbon before confirming entry. The ribbon period settings matter significantly on lower timeframes. For 1m and 5m, test HMA 8/21. For 15m, HMA 13/34 or EMA 21/55. For 1H and above, EMA 21/89 gives cleaner swing context without too much noise. The volume spike multiplier should be adjusted by instrument. Crypto and oil tend to have more frequent spikes than equity index futures. Start at 1.5x and move up to 2.0x if you are getting too many false spikes. The failed breakout lookback (default 3 bars) can be extended to 5-8 bars on higher timeframes where reactions take longer to develop. For multi-timeframe setups, use the htf reversal radar with timeframes one step above your normal analysis chain. If you trade on 15m, set the radar to 1H, 4H, and daily. A warning on two or more of those while a signal fires on your 15m is meaningful context. 17. Performance notes from testing The Livermore preset on 15m across multiple instruments (MNQ, BTC futures, micro gold, crude oil) showed the following general ranges across several hundred signals. These are not guarantees and will vary by instrument and market conditions. TP1 rate: 66-75% depending on instrument TP2 rate: 27-45% TP3 rate: 14-25% Long win rate (TP1 as measure): 68-80% Short win rate (TP1 as measure): 55-70% The gap between long and short rates reflects the natural long bias of most risk assets over time. Instruments with persistent directional trends tend to show higher rates in the direction of that trend. A 10-bar cooldown showed better results than 5 bars or 50 bars in testing. At 5 bars, too many signals clustered around the same level. At 50 bars, valid retests were missed entirely. At 10 bars, the indicator captures the initial breakout and the first meaningful retest while filtering pure noise. These numbers should be treated as starting points for your own testing, not as targets to optimize around. Your instrument, timeframe, and current market regime will all affect them. 18. Alerts The indicator includes eight alert conditions accessible through TradingView's alert system: - Long signal confirmed - Short signal confirmed - Failed breakout detected - Htf bear reversal warning (2+ timeframes) - Htf bull reversal warning (2+ timeframes) - Bull divergence detected - Bear divergence detected - Level watching (price approaching key htf level) Set the alert on "once per bar close" for the cleanest signals without repainting on the current bar. 19. Compatibility Works on all instruments: equities, ETFs, crypto, forex, futures, indices, commodities. Works on all timeframes from 1m to monthly. No hardcoded tick sizes, contract specifications, or session times. No repainting on closed bars. The current bar may repaint as it develops, which is expected behavior for any indicator. Pine Script v6. Requires TradingView Essential plan or above for the best performance due to the multiple request.security calls used for htf levels. 20. What this indicator does not do - Does not connect to any broker - Does not place trades automatically - Does not guarantee any level of profitability - Does not predict future price movement - Does not work without price data — it needs bars to calculate - Does not replace your own market analysis and judgment The indicator provides structured visual context and a confirmation framework. The decision to enter, manage, and exit a trade remains entirely yours. 21. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation to buy or sell any financial instrument. All trading decisions are made entirely by the user. Trading financial instruments involves substantial risk of loss. Past indicator performance on historical data is not indicative of future results. You may lose all of your invested capital. Anonycryptous accepts no responsibility or liability for any trading losses incurred as a result of using this indicator.
Indicador Pine Script®
por Anonycryptous
2
STWP Market MatrixOverview STWP Market Matrix is a multi-factor market dashboard designed to consolidate several commonly used technical concepts into a single visual framework. Most technical indicators focus on one aspect of market analysis, such as trend, volume, volatility, or support and resistance. STWP Market Matrix combines these factors into a structured dashboard so traders can evaluate market conditions from multiple perspectives without switching between several indicators. The objective is not to generate buy or sell signals, but to provide a quick and organized view of trend direction, participation, relative strength, volatility conditions, and key market reference levels. ________________________________________ Why This Indicator? Market decisions are often influenced by multiple factors rather than a single indicator. A stock may show a bullish trend but weak participation, strong volume but poor relative strength, or favorable structure while trading below key reference levels. STWP Market Matrix brings together: • Trend Analysis (EMA Structure) • VWAP Positioning • Buyer vs Seller Participation • Volume Assessment • Market Structure Analysis • Multi-Timeframe Confirmation • Relative Strength vs NIFTY • Daily Volume Context • Pivot Reference Levels • Volatility Assessment into one dashboard to help users evaluate these conditions simultaneously. ________________________________________ Dashboard Components Trend Trend is determined using Fast and Slow Exponential Moving Averages (EMA). Bullish: Fast EMA above Slow EMA Bearish: Fast EMA below Slow EMA This provides a simple directional bias. ________________________________________ VWAP Displays whether price is trading above or below the Volume Weighted Average Price (VWAP). VWAP is commonly used by traders to assess intraday strength and market positioning. ________________________________________ Buyers & Sellers These metrics evaluate the balance between bullish and bearish candle pressure. The goal is to provide a simple visual indication of whether buyers or sellers currently have greater influence on price movement. ________________________________________ Volume Current volume is compared against average volume to identify participation levels. Higher-than-average volume may indicate stronger market participation, while lower volume may suggest reduced activity. ________________________________________ Market State The indicator classifies market conditions into: Breakout Breakdown Range based on recent price structure and historical highs/lows. ________________________________________ Price Structure Price structure evaluates whether the market is producing: Higher Highs and Higher Lows Lower Highs and Lower Lows Sideways Conditions This provides additional context beyond simple trend analysis. ________________________________________ Multi-Timeframe Alignment The dashboard evaluates whether higher timeframe EMA conditions support the current chart timeframe. This helps identify whether trends are aligned across multiple timeframes. ________________________________________ Relative Strength (RS) Relative Strength compares the selected symbol against the NIFTY Index. Possible interpretations: Outperforming Underperforming This helps identify whether a symbol is displaying relative leadership or weakness compared to the broader market. ________________________________________ Daily Volume Daily volume is compared against its historical average to provide additional participation context. ________________________________________ Pivot Reference Framework The dashboard includes classic pivot calculations based on the previous trading session's: High Low Close Displayed levels include: Pivot R1 to R5 S1 to S5 These levels are intended as objective reference zones that may help identify potential areas of support, resistance, reaction, or expansion. The levels are not intended as price targets or predictions. ________________________________________ STWP Matrix Panel Grade A composite score derived from: Trend Alignment VWAP Position Volume Participation Relative Strength Multi-Timeframe Confirmation Grades range from D to A+. Higher grades indicate stronger alignment among the evaluated factors. ________________________________________ Flow Flow evaluates participation bias using candle position and volume behavior. Possible states: Accumulation Distribution Balanced ________________________________________ Energy Energy evaluates volatility conditions using: Bollinger Band Width Average True Range (ATR) Possible states: Building Normal Exploding This can help identify periods of contraction and expansion. ________________________________________ Risk Risk provides a simplified assessment of current market conditions using momentum and volatility characteristics. Possible states: Low Medium High ________________________________________ Opportunity Opportunity summarizes overall market conditions based on the dashboard's underlying factors. Possible states: Excellent Good Average Avoid This metric is intended to provide context and should not be interpreted as a trading recommendation. ________________________________________ Suggested Workflow A possible workflow for using the dashboard: Review Trend and VWAP alignment. Evaluate Market State and Price Structure. Check Relative Strength versus NIFTY. Assess volume participation. Review Pivot and Support/Resistance levels. Evaluate Grade, Flow, Energy, Risk, and Opportunity readings. Combine observations with personal analysis, trade planning, and risk management. ________________________________________ Limitations The indicator relies entirely on historical price and volume data. Pivot levels are reference zones and not guarantees of future market reactions. Relative Strength readings may vary across instruments and timeframes. Market conditions can change rapidly during periods of elevated volatility. No technical indicator can predict future price movement with certainty. The dashboard should be used as an analytical aid rather than a standalone decision-making system. ________________________________________ Disclaimer This script is provided strictly for educational and informational purposes. The indicator does not provide investment advice, research reports, trading recommendations, portfolio management services, or buy/sell calls. All calculations are derived from historical price and volume data and are intended solely to assist technical analysis. Users should conduct their own independent research, analysis, and risk assessment before making any trading or investment decisions. Past performance does not guarantee future results. Financial markets involve risk, and losses may occur. For users subject to SEBI regulations, this indicator should not be interpreted as a recommendation, solicitation, stock tip, investment advisory service, or research report. Any trading or investment decision remains solely the responsibility of the user. © Simple Trade With Patience (STWP)
Indicador Pine Script®
por simpletradewithpatience
HTF Delta Flux + Liquidations [BigBeluga]HTF Delta Flux + Liquidations is a high-timeframe order flow diagnostic tool that visualizes the internal volume dynamics of macro candles. By projecting Higher Timeframe (HTF) structures onto your current chart, it reveals the "Flux"—the movement of Cumulative Volume Delta—and identifies high-velocity volume spikes often associated with liquidations. Unlike standard indicators that only show a candle’s open and close, this script breaks down the aggressive buying and selling that occurred inside the candle’s duration. 🔵 CONCEPTS HTF Candle Boxes: Automatically draws the body and wicks of a higher timeframe (e.g., Daily or Weekly) over your intraday price action. The Delta Flux Curve: An internal polyline that maps the path of Cumulative Volume Delta within the HTF candle. This allows you to see if a candle’s volume was "front-loaded" or "back-loaded." Full Body Mode: A visual toggle that expands the candle box to cover the entire High-Low range, creating a "Liquidity Zone" view. Cumulative Delta Dashboard: A real-time table tracking the last N HTF candles, displaying their directional bias, total delta, and the volume contributed by liquidation flushes. 🔵 THE SYNTHETIC LIQUIDATION ENGINE It is important to note: This indicator does not use real-time exchange liquidation API data. Since TradingView does not provide native exchange-level liquidation feeds for all symbols, this tool uses a Volume-Based Proxy to identify liquidation-like events. How it works: The engine monitors the rate of change in Volume Delta. When a volume spike exceeds a specific Standard Deviation threshold relative to recent activity, it identifies a "Liquidity Flush." In the market, these extreme, sudden bursts of volume often correlate with forced liquidations or stop-run cascades. Circle Markers: Appear at the high or low of the bar where the flush occurred. Volume Labels: Display the specific amount of aggressive delta that triggered the signal. 🔵 FEATURES Customizable HTF Timeframe: Analyze Daily, Weekly, or even Monthly order flow on 1-minute or 5-minute charts. Standard Deviation Sensitivity: Fine-tune the "Dev Threshold" to filter out minor volume noise and only highlight the most significant liquidity events. Live Delta Tracking: The current "Live" candle displays a real-time count of the active delta flux. Historical Bias Analysis: The dashboard calculates the average bias and liquidation volume over your selected history to identify macro trend exhaustion. 🔵 HOW TO USE Spotting Absorption: If you see a large Bullish HTF candle but the Delta Flux Curve is trending downward, it suggests aggressive selling is being absorbed by limit buyers. Trading the "Flush": Liquidation labels (circles) often mark the local top or bottom of a move. When a "Liq" label appears after a fast price extension, it frequently signals a temporary exhaustion of the move. Trend Confluence: Use the Dashboard to see if "Average Liq Volume" is increasing. Rising liquidation volume at the end of a trend often precedes a major reversal. Intra-Candle Context: Watch the Delta Curve . If price is moving higher but the curve is flat, the move is likely low-conviction and prone to a retracement. 🔵 CONCLUSION HTF Delta Flux + Liquidations bridges the gap between macro structure and micro order flow. By transforming raw volume into a visual "Flux" path and highlighting mathematical volume anomalies, it provides traders with a sophisticated map of institutional aggression and retail exhaustion.
Indicador Pine Script®
por BigBeluga
4
Kinetic Momentum Vectors [BigBeluga]Kinetic Momentum Vectors is a high-performance analytical framework that reimagines price action as a physical system. By calculating the "mass" (volume) and "velocity" (rate of change), the script identifies the Kinetic Energy driving a trend. Instead of traditional lagging oscillators, this tool projects momentum as external "propulsion vectors" anchored to a trend baseline, allowing you to see exactly when a move is fueled by institutional conviction or retail exhaustion. 🔵 THE PHYSICS OF MOMENTUM Energy Normalization (0-1 Engine): The indicator processes volume-weighted price movement through a Min-Max normalization scaler. This isolates the most explosive "Kinetic Spikes" within your chosen lookback period, ensuring you only react to the most significant institutional surges. Propulsion Fuel Candles: Momentum is visually detached from price and plotted as "fuel candles" relative to a central EMA. Bullish energy accelerates downward from the baseline, while bearish energy expands upward, creating a "momentum vacuum" that reveals the true strength of a trend's engine. Kinetic Spike Anchors: When normalization hits the "Spike Threshold," the script locks in a structural vector. These are the exact price levels where maximum work was performed by the market, serving as high-probability pivots for future support and resistance. 🔵 STRUCTURAL INTELLIGENCE Refining Vector Levels: Unlike static lines, these levels feature a 3-bar confirmation window . The script dynamically updates the vector to the absolute high or low of the momentum event, ensuring your structural anchors are pixel-perfect. Adaptive Level States: Vectors transition from solid to dashed the moment they are breached. This "Style-Override" logic provides an instant visual alert that a momentum barrier has failed and a potential "S/R Flip" is in progress. Auto-Scaling ATR Visuals: The vertical height of the momentum candles is governed by current volatility (ATR). This ensures that the visual data remains legible and proportional, whether you are trading a low-volatility Asian session or a high-volatility New York open. 🔵 CORE UTILITY Identifying "Empty" Trends: A healthy trend requires increasing Kinetic Fuel. If price continues to climb while the fuel candles shrink back toward the baseline, you are looking at a "low-kinetic" divergence—a primary warning sign of a trend reversal. Institutional S/R Mapping: Use the Kinetic Spike labels as "hard" targets. Because these levels are generated by high-volume price displacement, they represent areas where big players have already shown their hand. Momentum Breakout Confirmation: Enter trades when a price breakout is accompanied by a full-sized kinetic vector. If the fuel candles remain small during a breakout, it lacks the "mass" required to sustain the move. The Baseline Magnet: The trend baseline acts as the gravitational center. When price overextends and kinetic energy hits a 1.0 spike, look for a mean-reversion move back toward the EMA baseline. Kinetic Momentum Vectors strips away the noise of standard technical analysis to reveal the raw energy moving the market. By monitoring the fuel behind the price, you can trade with the flow of institutional kinetic energy and avoid the traps of exhausted trends.
Indicador Pine Script®
por BigBeluga
8
KAS Volume DeltaKAS Volume Delta is a per-candle volume delta histogram that shows the directional buy and sell pressure behind every bar. It reads each candle's direction together with its volume to estimate net order pressure, then adds a signal line and highlights bars with exceptional delta. It is a clean, lightweight way to add order-flow context to any chart that provides volume data. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT IT DOES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Plots a per-candle volume delta histogram (green for net buying, red for net selling). Splits indecision (Doji) candles by their close position so flat bars still carry a directional bias. Draws a Delta SMA signal line to track whether pressure is accelerating or fading. Highlights dominant bars where the absolute delta exceeds twice its recent average. Optionally normalizes delta by average volume for cross-instrument comparison. Optionally tints the main-chart candles by delta direction (off by default). Shows a compact status readout: current bias, SMA signal state, dominant state. Includes four alerts on delta zero-cross and SMA-cross events. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW IT WORKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Bar-Level Delta: Each candle's delta is set to +volume when close is above open (net buying) and -volume when close is below open (net selling). This is a transparent estimate computed directly from OHLC and volume, with no lower-timeframe dependency. Doji Handling (hl2 midpoint): On indecision candles where close equals open, delta is split by the close-versus-midpoint position. A close at or above hl2 yields +0.5x volume (soft buying); below hl2 yields -0.5x volume (soft selling). Flat bars therefore still contribute a directional bias instead of a zero. Delta SMA Signal Line: A simple moving average of delta over a configurable length (default 21) acts as a signal line. Delta crossing above the SMA indicates buying pressure accelerating; crossing below indicates selling pressure building. Dominant Bar Detection: The absolute delta is compared against its own 20-bar average. When a bar's magnitude exceeds twice that average, it renders at full opacity and greater width, surfacing exceptional single-bar pressure with no manual reading. Optional Normalization: When enabled, delta is divided by the 20-bar volume average, producing a relative ratio that makes delta intensity comparable across different instruments and timeframes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY IT'S UNIQUE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Unlike TradingView's native Volume Delta, which relies on lower-timeframe intrabar data and can behave inconsistently on higher timeframes or illiquid symbols, this indicator computes a transparent bar-level delta directly from each candle, with no lower-timeframe dependency. Unlike scripts that assign zero delta to indecision candles, this indicator splits Doji volume by the close-versus-midpoint (hl2) position at plus or minus 0.5x volume, preserving directional bias on flat bars. Unlike cumulative delta tools that focus on a single running aggregate line, this indicator stays per-candle and flags dominant bars whenever delta magnitude exceeds twice its own recent average. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Add to any timeframe; works well from 5m to 4h for intraday and swing context. Default settings are calibrated for liquid symbols (major crypto, large-cap stocks, major FX). Read the histogram against the SMA signal line: sustained bars beyond the line confirm momentum; dominant bars mark exceptional initiation or exhaustion. Enable Normalization when comparing delta intensity across different instruments. Pair with your existing price structure or trend tools for confluence. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LIMITATIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Requires a symbol that provides volume data; on feeds without volume the histogram will be empty. The bar-level method is an approximation of order flow based on candle direction. It does not measure true intrabar buy/sell execution. The SMA signal line lags by design and reacts after a move has begun. This tool is for analytical purposes only and does not constitute financial advice. Past signal behavior is not indicative of future results. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ KNECHT ALPHA SIGNALS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Institutional-grade Volume Delta, Momentum, and MTF Analysis for TradingView. Built for traders who demand precision over noise.
Indicador Pine Script®
por Knecht_Alpha_Signals
Candle Volume Decomposition [MarkitTick]💡 Standard volume analysis often falls short by presenting trading activity as a single, one-dimensional aggregate figure per period. This limitation obscures the true dynamics of market microstructure, leaving analysts guessing whether the volume was concentrated in the directional move of the body, or absorbed at the extremes as rejection wicks. This indicator reconstructs the volume profile of every single price candle by decomposing it into three distinct spatial zones: the Upper Wick, the Body, and the Lower Wick. By leveraging lower-timeframe data polling, it builds an intraday volume distribution for higher-timeframe candles, extracting critical insights such as Delta Pressure, Zone Concentration, Absorption, and Exhaustion, wrapping it all into an on-chart dashboard and advanced histogram. ✨ Originality and Utility Most volume indicators attempt to map buying and selling pressure by looking at the close relative to the open or high/low range, applying a uniform formula to the entire bar's volume. This indicator breaks away from aggregate estimations by fetching strict lower-timeframe data and physically mapping it to the structural boundaries of the chart timeframe's candle. The primary utility lies in its ability to reveal hidden liquidity mechanics. A candle with seemingly standard bullish volume might actually contain massive localized selling pressure entirely trapped within its upper wick. By isolating these zones, traders can definitively identify absorption, measure the efficiency of directional body moves, and detect localized exhaustion before price reverses. It effectively bridges the gap between basic volume bars and complex Order Flow footprint charts, delivering high-granularity data without requiring specialized tick-data feeds. 🔬 Methodology and Concepts The script utilizes a lower timeframe polling array to dissect the current chart's candle structure. The mathematical methodology is broken down into the following core concepts: Spatial Decomposition: The indicator calculates the precise price boundaries of the candle's body (Open to Close) and wicks (High to Body Top, Low to Body Bottom). As lower timeframe volume data is fed into the array, it allocates the volume proportionally based on where the lower timeframe price action occurred relative to the parent candle's zones. Net Signed Volume: Instead of arbitrary coloring, the script calculates a net directional flow. Lower wick volume (demand/buying) is added, upper wick volume (supply/selling) is subtracted, and body volume is directionally signed based on whether the candle closed green or red. Delta Pressure Index: A normalized ratio ranging from -1.0 to +1.0. It calculates the net difference between lower wick volume and upper wick volume relative to total volume. Positive values indicate demand dominance in the wicks, while negative values indicate supply dominance. Volume Concentration (HHI): The Herfindahl-Hirschman Index is adapted here to measure zone dominance. By squaring the volume ratios of all three zones and summing them, it provides a score from 0.33 (perfectly equal distribution) to 1.0 (a single zone contains 100% of the volume). Absorption & Exhaustion: Absorption is modeled by combining high total wick volume with a compressed body range. Exhaustion is triggered mathematically when the total volume residing in the wicks exceeds the body volume multiplied by a user-defined threshold, signaling potential structural failure. 🎨 Visual Guide The indicator's visual outputs are highly detailed, split between the main price pane and the indicator pane. ● Main Chart Elements Price Candles: The standard price candles are dynamically colored and faded. By default, they use "Net Signed Volume" coloring, transitioning between Deep Teal (Bullish Net) and Deep Red (Bearish Net). Furthermore, the transparency of the candles is completely dynamic; candles with absolute directional dominance are fully opaque, while candles with weak or highly contested net volume become transparent. Wick Exhaustion Highlight: A distinct purple background flash appears on specific bars where wick volume overwhelmingly eclipses body volume, visually alerting the user to structural exhaustion. Divergence Labels: Small, precise text labels reading "Vol ▲Div" (Teal) or "Vol ▼Div" (Red) appear above or below candles when volume divergences are detected between the price trend and the total volume trend over the specified lookback period. Dashboard Table: Positioned in the top right, this matrix provides real-time scoring. It displays block-meters and color-coded text for Delta Pressure, Dominant Zone, CVD Bias, Body Efficiency, Absorption Score, Wick Exhaustion status, Zone Concentration, and the exact percentage breakdown of the three spatial zones. ● Indicator Pane Elements Stacked Volume Columns: When in standard mode, the volume histogram represents the true spatial distribution. The Lower Wick volume is plotted at the base in vivid Cyan. The Body volume is stacked on top in either Teal or Deep Red. The Upper Wick volume completes the stack in vivid Red. Net Signed Columns: When toggled via settings, the histogram switches to a baseline-centered momentum oscillator, plotting the absolute Net Signed volume above or below the zero line, instantly revealing the true directional aggression of the period. 📖 How to Use Traders can deploy this indicator to validate breakouts, confirm reversals, and manage risk through superior tape reading. Validating Breakouts: When observing a breakout candle, refer to the Dashboard's "Body Efficiency" metric. A high efficiency score combined with an opaque body color indicates that the majority of the volume supported the directional move. Conversely, if a breakout candle prints a high "Absorption" score and high wick concentration, the move is likely being faded by larger market participants. Trading Reversals: The purple background flash (Wick Exhaustion) is a prime leading indicator. When this occurs at a known support or resistance level, it mathematically confirms that counter-trend limit orders have successfully absorbed the aggressive volume, halting the candle's progression. Monitoring Cumulative Pressure: The CVD Bias metric in the dashboard maintains a running sum of Net Signed Volume. If price is making higher highs but the CVD Bias flips to Bearish, a structural divergence is occurring, warning of an impending pullback. Interpreting Asymmetry: Watch the dominant zone metrics. Continuous lower-wick dominance during a downtrend suggests accumulation, as market participants repeatedly buy the dips within the micro-structure of the falling candles. ⚙️ Inputs and Settings The script provides a modular architecture allowing users to tailor the calculations and visuals to their specific strategy requirements. ● Volume Profile & Display Lower Timeframe: The critical input for data resolution. This must be set lower than the chart timeframe (e.g., 1-minute data for a 15-minute chart) to provide the necessary polling granularity. Coloring Mode: Allows switching the price candles between "Net Signed Volume" (accounting for wick/body math), "Body Direction" (traditional close vs open), or turning it off entirely. Dynamic Transparency: A toggle that maps the opacity of the price candles directly to the strength of the volume signal. Signed Volume Mode: Toggles the indicator pane histogram between the 3-tier stacked spatial volume model and the zero-centered Net Signed Volume oscillator. ● Advanced Metrics & Dashboard Metric Toggles: Users can individually enable or disable internal calculations for Delta Pressure, Asymmetry, CVD, Efficiency, Wick-to-Body Ratio, HHI, and Absorption to optimize performance or clear the data window. Exhaustion Threshold: A float multiplier that determines how aggressive the wick volume must be compared to the body volume to trigger the purple background flash. Lowering this increases sensitivity. Volume Divergence: Toggles the on-chart pivot detection, with a customizable "Lookback Bars" setting to determine the required span for identifying volume-price discrepancies. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The theoretical foundation of this script is rooted in Market Microstructure and the mechanics of the Limit Order Book (LOB). Standard OHLC data suffers from temporal aggregation bias; it flattens the continuous auction process into discrete periods. By polling lower timeframe arrays, this indicator reconstructs the volume topology, mapping volume to price rather than just volume to time. The integration of the Herfindahl-Hirschman Index (HHI) is a direct cross-application from macroeconomics and antitrust law, where it is traditionally used to measure market share concentration. In this script, HHI is brilliantly applied to spatial volume analysis to determine the "monopoly" of trading activity within a single candle. An HHI approaching 1.0 mathematically proves severe localized liquidity consumption, indicating an inelastic supply or demand wall at that specific price node. Furthermore, the Delta Pressure and Absorption calculations mirror the dynamics of liquidity provision vs. liquidity taking. When a candle expands its range, aggressive market orders are consuming passive limit orders (high body efficiency). When a candle prints high volume but compresses its body range, aggressive market orders are being entirely absorbed by a dense wall of resting limit liquidity (high wick volume, high absorption score). This indicator translates these complex order-matching mechanics into a digestible visual hierarchy. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
Delta Void Profile [BigBeluga]Delta Void Profile is an advanced order flow and market structure framework engineered to reveal the "negative space" in price action. By contrasting traditional volume accumulation with a unique Inverse Liquidity Void map, this indicator identifies where the market is most anchored and where it is most fragile. While standard profiles show where the crowd has transacted, the Delta Void Profile simultaneously highlights where the market *failed* to trade, marking the "liquidity vacuums" that often dictate explosive price movements. 🔵 THE DUAL-ENGINE FRAMEWORK The Normal Profile (Right Side): This is your primary volume distribution. It visualizes the total relative volume transacted at each price bin within the lookback period, providing a clear view of high-interest zones. The Inverse "Void" Profile (Left Side): This profile measures the "gap" between the maximum volume peak and the current bin. Longer bars on the left signify Volume Voids —areas where price moved too quickly for significant liquidity to build. Intraday Delta Breakdown: Within the normal profile, the script calculates a granular Buy/Sell Delta . Each bin features a central divider and percentage labels, showing exactly which side of the market dominated that specific price node. 🔵 CORE ARCHITECTURE Liquidity Vacuum Identification: The indicator automatically highlights the "Deepest Gap"—the price area with the least historical transacted volume relative to the peak. These zones act as magnets or "slip-zones" where price is likely to expand rapidly without resistance. HVN & Gap Pivot Detection: Depending on your strategy, the tool automatically plots dashed structural lines at either High Volume Nodes (HVN) —representing fair value and heavy support/resistance—or at Volume Gaps —representing liquidity pockets. Dynamic Gradient Resolution: The profile uses a color-gradient system based on volume density. Brighter, more saturated bins represent institutional interest, while faded bins represent retail noise or transitional zones. 🔵 FEATURES High-Definition Bins: Customizable vertical resolution (Bin Count) allows you to transition from a macro structural view to a high-definition "micro-scalping" look at order flow. Delta Efficiency Labels: Real-time percentage labels on the right-hand profile give you an immediate breakdown of supply and demand percentages for every price level. Void Strength Labels: The inverse profile calculates and prints the "Gap Percentage," explicitly labeling areas where liquidity is significantly missing. UI Scaling: Fully adjustable global text and label sizes ensure the profile remains readable on any screen resolution or chart layout. 🔵 STRATEGIC APPLICATION Trading the HVN (High Volume Nodes): Use HVN levels as anchors for your stop-loss or as high-probability entry points. These are prices where the market has historically agreed on "Value". Exploiting the Voids: When price enters a high-percentage "Gap" zone on the left profile, expect increased volatility. Because there is no "friction" from historical orders, price often "teleports" through these voids until it reaches the next high-volume cluster. Delta Confirmation: Use the Buy/Sell percentage labels to confirm breakouts. If price is breaking an HVN resistance and the delta shows high Buy dominance, the probability of a successful breakout increases significantly. Mean Reversion Targets: Voids often act as targets for mean reversion. If price is overextended, look for the nearest "Volume Gap" pivot as a natural magnet for a relief rally or pullback. Delta Void Profile transforms your chart into a map of institutional activity and structural weakness. By identifying the voids in the market, you can stop trading into the "heavy" areas and start targeting the "light" areas where the real price expansion occurs.
Indicador Pine Script®
por BigBeluga
9
Institutional Displacement & Volume Delta [Bigbeluga]🔵 OVERVIEW Institutional Displacement & Volume Delta is an advanced price action tool designed to identify high-conviction market moves, often referred to as "Displacement." It filters out market noise by highlighting candles that exhibit both significant price expansion and institutional-level volume. By utilizing lower timeframe (LTF) data, the indicator deconstructs each displacement candle to reveal the internal "Buy vs. Sell" volume balance, allowing traders to see the true intent behind aggressive market shifts. 🔵 CONCEPT Institutional Displacement — Identifies "Power Candles" that have a large body relative to their wicks, signaling a one-sided move by major market participants. Volume Spike Filtering — Only qualifies a move as a "Shift" if the volume significantly exceeds a user-defined moving average. Intrabar Volume Deconstruction — Uses a secondary, lower timeframe (e.g., 1m) to calculate exactly how much of a candle's total volume was dedicated to buying versus selling. Internal Volume Blocks — Visually splits the body of displacement candles into color-coded sections (Buy Block and Sell Block) based on the internal delta ratio. Market State Muting — Optionally mutes the color of "choppy" or low-volume bars to keep the focus purely on high-probability institutional activity. 🔵 HOW IT WORKS (IN-DEPTH) 1️⃣ Qualification of Displacement The script first evaluates the "Body-to-Range" ratio. A candle must be mostly "body" (minimal wicks) to prove that the price didn't face significant rejection. It then checks the Volume Multiplier. The volume must be X times higher than the 20-period average to confirm institutional "heavy lifting." If both conditions are met, the bar is labeled a "Bullish Shift" or "Bearish Shift." 2️⃣ Lower Timeframe (LTF) Volume Analysis Standard candles only show total volume. This indicator uses request.security_lower_tf to peak inside the bar. It sums up every 1-minute (or user-defined) sub-candle to categorize volume as "Buy" or "Sell" based on the sub-candle's closing direction. This calculation provides the Delta —the net difference between aggressive buyers and sellers. 3️⃣ Visual Representation The main candle body is hollowed out, and a "Volume Block" is inserted inside. The split point of the inner block represents the ratio of Buy vs. Sell volume. If a Bullish Displacement bar has a large Red inner block at the top, it may signal that sellers were heavily defending that area despite the bullish close. Floating labels provide immediate access to the exact Volume and Delta figures. 🔵 KEY FEATURES Precise Shift Identification: Combines price expansion (Displacement) with volume spikes. Internal Delta Blocks: Unique visual deconstruction of candle volume ratios. Institutional Dashboard: Displays real-time data for the most recent shift, including total volume, delta, and a session shift counter. Muted Chop Mode: Grey-scales non-significant candles to highlight the "Path of Least Resistance." Error Handling: Built-in notification if the user selects an LTF timeframe that is mathematically incompatible with the current chart. 🔵 DASHBOARD METRICS Last Shift: Indicates the direction (Bullish/Bearish) of the most recent displacement. Shift Vol: The total volume transacted during the most recent high-conviction move. Shift Δ: The net delta of the last shift, showing the dominant aggressive party. Shift Count: A running tally of Bullish vs. Bearish shifts since the chart was loaded. 🔵 HOW TO USE Identifying Ignition: A Displacement bar appearing at a support or resistance level often marks the start of a new trend (Trend Ignition). Spotting Traps: Look for "Bullish Shifts" where the Sell Block makes up a large portion of the candle body. This indicates heavy absorption by sellers and may lead to a failed breakout. Confluence with Delta: Use the Dashboard's "Shift Δ" to confirm that the displacement move is backed by strong net buying/selling rather than just high-volume churn. Exit Timing: If price enters a consolidation zone and the "Shift Count" starts alternating rapidly between Bullish and Bearish, it indicates institutional indecision. 🔵 CONCLUSION Institutional Displacement & Volume Delta provides a specialized lens into market momentum. By focusing on displacement and the internal mechanics of volume, it helps traders align themselves with the "smart money" and avoid the low-probability volatility of retail-driven noise.
Indicador Pine Script®
por BigBeluga
10
Liquidity Matrix | AnonycryptousLiquidity Matrix | Anonycryptous Description & user manual **Credits** The sweep detection engine in Liquidity Matrix draws conceptual inspiration from the Liquidity Sweep Filter by AlgoAlpha. The approach to identifying swing-based stop hunts, classifying sweeps by volume significance, and filtering by trend direction is based on ideas first demonstrated in their open-source script, author: AlgoAlpha (tradingview.com/u/AlgoAlpha) --- Why this indicator is different; Most liquidity indicators show you one thing. A zone. A sweep marker. A supply box. A trendline. Each tool tries to solve one problem, and if you want to understand the full picture, you stack five or six indicators on the same chart until it becomes unreadable. Liquidity Matrix works differently. It is not a signal indicator. It does not tell you when to buy or sell. It does not score your trades or track your win rate. What it does is something more fundamental: it maps the full landscape of liquidity around price, across ten independent engines, all configurable, all in one overlay. The core idea is that liquidity drives price. Retail traders place stops at predictable locations — below swing lows, above swing highs, at equal highs and lows, at structural pivots, inside fair value gaps. Institutional participants know this. They move price to those locations, collect that liquidity, and then move in the direction they were always going. If you understand where the liquidity is, where it has already been taken, and what levels are still sitting unmitigated, you understand the context before you place a trade. Liquidity Matrix gives you that map. What makes it different from other multi-engine indicators is that every engine is genuinely independent. You can run just the liquidity zones. Or just the voids and HTF levels. Or every engine at once and build your own confluence system. There is no forced reading. There is no house view on what the market is doing. You bring your methodology. The indicator gives you the context to apply it. It also does something no single-purpose tool does: it shows you the volume behind every level. Not just where the stop clusters are — but how much liquidity was there when they formed. A zone created on 2.4M volume is not the same as a zone created on 58K. The indicator makes that difference visible. Important notice Liquidity Matrix does not generate trading signals. It does not tell you when to buy or sell. It does not predict market direction. It does not guarantee any outcome. All trading decisions remain entirely with the user. Always apply your own judgment and manage your own risk. 1. Overview Liquidity Matrix is a multi-engine liquidity context indicator built around one idea: before you place a trade, understand where the liquidity is. What it includes: - Liquidity zones: probability-scored pivot clusters with volume intensity rendering - Equal highs and equal lows: zones where retail stops stack at matching price levels - Trend engine: directional band with accumulated sweep volume tracking - Sweep detection: swing-level stop hunt identification with safe stop placement - HTF liquidity levels: higher timeframe high/low levels as horizontal reference lines - Dynamic trendlines: automatically detected diagonal support and resistance with touch volume - Supply and demand zones: SMC-based structural zones with BOS conversion - Weekend gap: Friday close reference with gap fill tracking - Liquidity voids: fair value gaps with gradient layer fill tracking - RSI divergence: price chart divergence detection with candle coloring and optional trailing stop - Dashboard: live market context across all active engines 2. Liquidity zones 2.1 How they form Liquidity zones are identified at confirmed pivot highs and lows. A pivot forms when a price extreme holds for a configurable number of bars on both sides. Each zone is scored using a probability model that weighs four factors: distance from current price, age of the zone, whether it is still fresh (untested), and the volume present at formation. The result is a probability score from 0 to 100 displayed on the chart. A score above 70 appears in green. Between 40 and 70 it appears in gold. Below 40 it appears in red. The fill intensity of each zone box scales automatically with the normalized volume at formation. Higher volume at creation means a fuller, more opaque box. This makes the visual weight of each zone reflect its actual significance without requiring manual evaluation. Zones above price are BSL — buy side liquidity. These are where long stops and breakout orders sit. Zones below price are SSL — sell side liquidity. These are where short stops and breakdown orders sit. 2.2 Sweep markers When price breaks through the bottom of a demand zone or the top of a supply zone, a circle marker appears on the chart — above the candle for a supply zone break (bearish), below the candle for a demand zone break (bullish). The zone fades to indicate the liquidity has been consumed. This is distinct from the swing sweep detection engine, which operates independently. 2.3 Settings Pivot left and right bars control detection sensitivity. Fewer bars on the right produces faster confirmation but reduces accuracy. The volume filter removes zones that formed on below-average activity. Fresh zones only hides tested zones to keep the chart clean. Max zones controls how many active zones are held at once. The swept zone transparency and show swept toggle control what remains visible after a zone is consumed. 2.4 In practice Look for price approaching an unmitigated zone with a high probability score on high-volume context. The higher the score and the more opaque the box, the more likely institutional interest was present at formation. When multiple zones stack closely — visible as a cluster — that price area has concentrated stop density. When a zone is swept and the circle marker appears, the liquidity at that level has been cleared. Stops are gone. The level loses its significance as a target. Volume note: all volume values in Liquidity Matrix are expressed in the base currency of the trading pair. On BTC/USDT, the value shown is in BTC. On SOL/USDT, it is in SOL. To convert to USD equivalent, multiply by the current price. This applies to every volume label across all engines. 3. Equal highs and equal lows 3.1 How they form Equal highs and equal lows (EQH/EQL) are zones where price has tested the same level on two or more separate occasions without closing through it. These represent areas where retail stop orders have accumulated in a predictable way. Matching swing highs create a resistance cluster with long stops resting above. Matching swing lows create a support cluster with short stops resting below. The zones are rendered as filled boxes using a linefill between two lines. The box spans from the lower of the two matching pivots to the higher, creating a clearly visible area of concentrated liquidity. 3.2 Settings Tolerance (ATR×) controls how precisely two pivots must match to qualify as equal. A lower tolerance requires a near-exact match. A higher tolerance allows approximate levels to be grouped. The minimum age prevents recent, unconfirmed pivots from forming zones too early. The removal mode determines whether a zone is removed when price touches the wick, the body, or the body at twice ATR distance. 3.3 In practice An EQH/EQL zone directly above or below price is a high-probability target for a liquidity sweep. When price approaches such a level, consider whether the move has the characteristics of a stop hunt: a spike through the level, a strong close back inside, and a reversal. The volume label on each zone shows the total volume from both matching pivots combined — giving you a sense of how much liquidity is sitting there. 4. Trend engine 4.1 How it works The trend engine calculates a rolling volatility band using ATR. When price is above the upper band, the trend direction is bullish. When price is below the lower band, it is bearish. The band tracks the dominant directional bias and changes color accordingly. As the trend unfolds, peak and valley levels form at local turning points within the band. The engine accumulates the volume from sweep events at each of these turning points and displays it as a label on the band. The label shows the total volume cleared at that inflection point — a direct measure of how much liquidity was consumed as the trend moved through that level. 4.2 In practice The trend direction is shown in the dashboard as bull or bear. Use this as your macro bias filter. Look for setups in the direction of the trend. The volume labels along the band show where the significant sweeps occurred — these points represent former liquidity levels that have already been consumed and are unlikely to act as targets again. The current edge of the band is where the next sweep may occur. 5. Sweep detection 5.1 How it works The sweep detection engine monitors rolling swing highs and lows using a configurable lookback. When price spikes through a swing level on the wick and closes back inside, a sweep event is recorded. The wick must penetrate the level by at least a minimum ATR multiple. The close must reject with a minimum strength relative to the candle range. An optional EMA filter and cooldown period reduce false triggers. Sweeps are classified as major or minor based on normalized volume. A sweep on above-average volume is marked with a solid triangle. A below-average sweep is marked with a hollow triangle. When a sweep fires, a safe stop line is drawn at the sweep extreme — the wick tip. This is the correct location for a stop loss after a sweep, because the liquidity that was resting there has already been consumed. Placing a stop beyond a consumed sweep is placing it where no further stop hunt is likely to occur. 5.2 Settings The wick minimum ATR multiple and minimum rejection percentage filter out weak sweeps. The EMA filter aligns sweeps with the broader trend. The cooldown prevents repeated triggers from the same level. Major sweep threshold (normalized volume) separates significant events from minor ones. 5.3 In practice A major sweep on a significant EQH or liquidity zone is one of the cleanest setups in the indicator. Price took the liquidity, volume confirms the institutional event, and the safe stop line gives you a clear invalidation level. The smaller the distance between current price and the safe stop line, the more attractive the risk structure. 6. HTF liquidity levels 6.1 How they form Higher timeframe high and low levels represent the largest clusters of resting liquidity on the chart. Monthly, weekly, daily, previous day, 4-hour, and 1-hour levels are supported. Each level is drawn as a horizontal line starting at the bar time of the HTF candle that created it and extending a configurable number of bars to the right. The volume of the HTF candle is shown as a label at the right edge of the line. Higher volume on the HTF candle means more institutional activity was present when that level formed. Monthly levels have the highest opacity. Opacity decreases progressively as timeframe decreases, so the relative significance is immediately visible. 6.2 Settings Each timeframe is individually toggleable. Line style (solid, dashed, dotted), width, and color are configurable. Extend bars controls how far the line projects to the right. The liquidity label can be hidden if a cleaner chart is preferred. 6.3 In practice HTF levels are major liquidity magnets. Price tends to move toward unmitigated monthly and weekly highs and lows before reversing. When a HTF level aligns with a liquidity zone or EQH/EQL cluster, the confluence strengthens the case for a sweep at that level. The dashboard shows the nearest HTF level above and below current price so you can read the closest target without examining every line on the chart. 7. Dynamic trendlines 7.1 How they form The trendline engine scans historical pivot highs and lows and finds the best-fit diagonal line across multiple touch points. A valid trendline requires at least two confirmed touches with minimal deviation, a score that weighs touch count, recency, tightness of touches, and span. The highest-scoring line for both support and resistance is drawn automatically every bar. Volume accumulates at each confirmed touch point. The label at the end of the line shows the total accumulated volume across all touches — the more volume that has interacted with the trendline, the more significant it is as a structural level. A channel fill renders between the support and resistance lines and changes color based on whether price is in the upper or lower half of the channel. 7.2 Settings Pivot length controls detection sensitivity. Lookback bars limits how far back the engine searches. ATR length controls the volatility smoothing used for touch tolerance. Max violations allows lines to remain valid after a small number of wick pierces. Touch tolerance and max distance filter noise. Extend bars projects the lines forward. 7.3 In practice A trendline with high accumulated volume and multiple tight touches is a strong structural level. When price approaches it from inside the channel, it is approaching a level where multiple institutional interactions have occurred. The volume label tells you how much. A break and retest of such a line — particularly with a sweep marker — is a high-quality location for a trade idea. 8. Supply and demand zones 8.1 How they form Supply and demand zones are identified using structural pivot points. When a new swing high forms, a supply zone is created at that level. When a new swing low forms, a demand zone is created. Zones are sized using an ATR-based width multiplier. An overlap filter prevents duplicate zones from stacking in the same price area. When price breaks through a zone boundary, the zone converts to a BOS line — a thin horizontal marker showing where market structure was broken. This mirrors the SMC (smart money concepts) approach where a broken supply zone confirms bullish structure, and a broken demand zone confirms bearish structure. 8.2 Settings Swing length controls how many bars are required on each side of a pivot for zone formation. Zone width scales the height of each box relative to ATR. The midline (POI) can be toggled to show the point of interest at the center of each zone. History to keep limits the total number of visible zones. HH/LH/HL/LL labels mark each swing point with its structural context. BOS color is configurable separately from zone colors. 8.3 In practice Supply and demand zones show you where price left an imbalance after a structural break. When a demand zone holds and price bounces from it, the zone remains valid. When price breaks through it, the BOS line marks where that structure was invalidated. These zones work best in combination with the liquidity zone engine — when both a liquidity zone and a demand zone overlap in the same price area, the confluence raises the probability of a significant reaction. Note on terminology: liquidity zones and supply/demand zones are different concepts. Liquidity zones mark where stop orders are likely to be resting based on pivot volume and probability scoring. Supply and demand zones mark structural imbalances where price left quickly. Both can occur at the same level, but they represent different phenomena. 9. Weekend gap 9.1 How it works The weekend gap engine records the last confirmed Friday close price and tracks whether price returns to fill that level during the following weekend and early week. On assets that trade continuously (crypto, 24/7 markets), the gap fill tracks whether price has revisited the Friday close since the weekend began. The Friday close is drawn as a horizontal reference line extending forward into the week. The gap fill zone renders between the Friday close and price during the relevant window. A bullish gap (price above Friday close) renders in green. A bearish gap (price below Friday close) renders in red. When the gap is filled, it clears automatically. 9.2 Settings Line style, width, and color are configurable. Extend days controls how far the Friday close line remains visible. Bull and bear gap colors are independently adjustable. 9.3 In practice The Friday close acts as a liquidity magnet for early week price action. Markets frequently return to fill the weekend gap before continuing in the dominant direction. The dashboard shows the gap status (open, percentage, or filled) so you can monitor it without keeping the line visible on all timeframes. On CME futures charts, the gap window is literal — the market was closed and the gap in data is visible. On crypto charts, the market was open but institutional behavior around the weekly close creates the same magnetic effect. 10. Liquidity voids 10.1 How they form A liquidity void (also called a fair value gap or imbalance) forms when price moves quickly in one direction across three consecutive candles, leaving a gap between the wick of the first candle and the wick of the third candle. No trading occurred in that gap area. Price tends to return to fill these zones as the market seeks balance. The void is rendered as a gradient of 13 layers. Each layer fills individually as price touches it, changing to the filled color. This gives a precise view of how much of the void has been mitigated and how much remains unvisited. A volume label shows the total volume from the bars that created the void. 10.2 Settings Mode controls whether all historical voids are shown or only the most recent N bars. Threshold (ATR×) sets the minimum gap size relative to ATR(144) — smaller values detect more voids, larger values filter to only significant imbalances. Bullish and bearish colors are independently configurable. The filled void color can be adjusted or filled voids can be removed entirely by toggling the show filled setting. 10.3 In practice Unfilled voids below price are areas where no transactions occurred during an upward move. They act as potential support and pullback targets. Unfilled voids above price are areas where no transactions occurred during a downward move. They act as potential resistance and rally targets. When a void aligns with a liquidity zone or HTF level, the overlap represents an area with both structural significance and a gap to fill. The volume label on each void gives you a sense of how much liquidity was consumed when the void was created — larger voids on higher volume represent more significant imbalances. 11. RSI divergence 11.1 How it works RSI divergence occurs when price and RSI move in opposite directions at swing points. A bullish divergence forms when price makes a lower low while RSI makes a higher low — momentum is increasing even though price is still falling, which often precedes a reversal upward. A bearish divergence forms when price makes a higher high while RSI makes a lower high — momentum is weakening even though price is still rising, which often precedes a reversal downward. The engine detects these events mechanically using pivot-based RSI analysis. When a divergence is confirmed, a box is drawn directly on the price chart spanning all candles between the two pivot points. Circle markers appear at each pivot on the price candle. This keeps the divergence signal on the chart where the price action is, rather than requiring a separate RSI pane below. Candle coloring reflects RSI momentum continuously. When RSI is above 50 and below the overbought level, candles are colored green — the gradient becomes more intense as RSI approaches the overbought threshold. The closer RSI is to overbought, the stronger the green. When RSI crosses the overbought level, coloring stops entirely — momentum is at an extreme and the gradient no longer adds information. The same logic applies in reverse below 50. Candles are colored red with increasing intensity as RSI approaches the oversold level. When RSI crosses below the oversold threshold, coloring stops. This means the gradient is always telling you how much room is left in the current momentum move — fully colored means RSI is just above 50 with a long runway ahead, faded means RSI is approaching an extreme. When the color disappears, the move is at full extension. An optional trailing stop activates after a divergence is confirmed by an RSI 50 crossover. For a bullish divergence, the stop activates when RSI crosses back above 50 and trails below price using ATR distance. It closes when price breaks the stop level or RSI reaches the overbought threshold. For a bearish divergence, the stop activates on an RSI cross below 50 and trails above price until price breaks through or RSI reaches oversold. Note: if the RSI divergence engine is disabled while a trailing stop is active, the stop line will disappear immediately without triggering a close. Do not disable the engine mid-trade while relying on the trailing stop as an active risk tool. 11.2 Settings RSI length — period for the RSI calculation. Default 14. Sensitivity — controls the pivot detection window. High detects more divergences using smaller pivots. Medium is the default. Low requires larger structural pivots and produces fewer but stronger signals. Show bullish / show bearish — each direction can be toggled independently so you only see what is relevant to your current bias. Bullish color / bearish color — the color used for the divergence box, circle markers, candle gradient, and trailing stop line. RSI candle coloring — toggle the gradient candle coloring on or off without affecting divergence detection. Overbought level — RSI level at which candle coloring stops on the upside. Default 70. Raise this to 80 for assets that tend to stay overbought for extended periods. Oversold level — RSI level at which candle coloring stops on the downside. Default 30. Raise this to 20 for assets that tend to stay oversold for extended periods. Trailing stop — toggle the trailing stop line on or off independently. ATR length / ATR multiplier — control the sensitivity of the trailing stop. A higher multiplier gives the stop more room and reduces premature exits on volatile assets. 11.3 In practice Use the divergence engine as a momentum context layer on top of the liquidity engines. A bullish divergence forming at an unmitigated liquidity zone or demand zone adds significant weight to the expectation of a reversal. A bearish divergence forming just below a major HTF level or supply zone suggests the move upward may be losing momentum before reaching that target. The dashboard row shows the current divergence state — none, bullish, or bearish — so you can monitor it without inspecting the chart. The candle gradient is the most immediately useful visual element. Watch for candles that are deeply colored — RSI has momentum but has not yet reached an extreme. When the gradient begins fading, RSI is extending. When it disappears entirely, RSI has crossed the overbought or oversold threshold and the move is at full extension. This is often where divergence begins to form on the next cycle. For overbought and oversold levels: on assets like BTC or ETH that can sustain strong trends, consider raising the overbought level to 75 or 80 and lowering the oversold level to 20 or 25. This prevents the coloring from stopping too early during genuine momentum moves. On more volatile altcoins where RSI whipsaws frequently around the extremes, the default 70/30 setting works well. 12. Dashboard The dashboard displays a live summary of all active engine data in one panel. It updates every bar. Rows shown: Header — indicator name and timeframe label. Trend — current direction from the trend engine: bull, bear, or ranging. Liq zones — count of active BSL and SSL zones in view. Nearest BSL — closest buy side liquidity level above current price. Nearest SSL — closest sell side liquidity level below current price. Top zone — highest probability unmitigated zone and its score. Safe SL — current safe stop level from the sweep detection engine. ATR (14) — current ATR value for context. HTF — section divider for higher timeframe levels. HTF above — nearest higher timeframe level above price. HTF below — nearest higher timeframe level below price. Market — section divider for market context rows. Gap — weekend gap status: off, open (direction and percentage), or filled. TL dist — distance from the nearest active trendline in ATR multiples. BOS/CHoCH — whether the supply/demand structure engine is active. EQH/EQL — count of active equal high and equal low zones. Engines — total number of active engines. Divergence — current RSI divergence state: none, bullish, or bearish. Anonycryptous — version reference. Dashboard position and text size are configurable. 13. Settings overview Liquidity zones - Enable/disable master toggle - Pivot left and right bars - Volume filter threshold - Dynamic zone width - Show fresh only - Show swept zones - Swept zone transparency - Max zones - Bull and bear zone colors - Midline toggle and color - Swept zone circle marker toggle, colors, and size Equal highs and equal lows - Enable/disable master toggle - Pivot lookback length - Tolerance (ATR×) - Minimum age - Removal mode (wick, body, body×2) - EQH and EQL zone colors - Show volume label - Show accumulated sweep volume Trend engine - Enable/disable master toggle - Trend band length - Bull and bear band colors - Show major/minor sweep volume labels - Major sweep normalized volume threshold Sweep detection - Enable/disable master toggle - Swing lookback - Minimum wick ATR multiple - Minimum rejection percentage - EMA filter toggle, length, and timeframe - Cooldown bars - Major sweep normalized volume threshold - Volume filter toggle - Bull and bear colors - Marker size Safe stop line - Line style, color, and extension bars - Glow toggle - Auto-remove after N bars HTF liquidity levels - Enable/disable master toggle - Individual toggles for monthly, weekly, daily, previous day, 4H, P4H, 1H, P1H - Line style, width, and color - Extend bars - Show liquidity label Dynamic trendlines - Enable/disable master toggle - Pivot length - Lookback bars - ATR length - Max violations - Touch tolerance (ATR×) - Max slope (degrees) - Max distance (ATR×) - Extend bars - Show channel fill - Show volume on touch - Support and resistance colors - Line width and style Supply and demand zones - Enable/disable (controls zones and BOS simultaneously) - Swing length - Zone width (ATR×0.1) - History to keep - Supply and demand colors and outlines independently - Show midline (POI) - Midline color - Show HH/LH/HL/LL labels - BOS color and line width Weekend gap - Enable/disable master toggle - Show gap fill and show Friday close line independently - Extend line (days) - Bull and bear gap colors - Friday close line color, width, and style Liquidity voids - Enable/disable master toggle - Mode (present / historical) - Lookback bars (for present mode) - Void threshold (ATR×) - Bullish and bearish void colors - Show filled voids - Filled void color - Show volume label RSI divergence - Enable/disable master toggle - RSI length - Sensitivity (high, medium, low) - Show bullish and bearish independently - Bullish and bearish colors - RSI candle coloring toggle - Overbought level (default 70) - Oversold level (default 30) - Trailing stop toggle - ATR length and multiplier for trailing stop Dashboard - Enable/disable - Position - Size 14. How to use The indicator does not prescribe a method. It provides context. How you use that context depends on your own approach. The following describes the logic behind combining the engines effectively. Start with bias. The dashboard trend row shows the current directional bias. The nearest HTF levels above and below give you the macro targets. If the weekly high is the nearest HTF above price, the market may be running toward that level before reversing. Identify the nearest liquidity. The nearest BSL and SSL rows in the dashboard show the closest unmitigated zones. These are the most likely near-term targets for price. A high-probability zone score adds weight to the expectation that price will visit that level. Look for confluence. When a liquidity zone, an EQH/EQL cluster, an HTF level, and a void all align at the same price area, the confluence is significant. Price has multiple reasons to move to that location. Once it arrives, multiple forms of liquidity can be consumed in one move. Read the sweep markers. When a sweep triangle fires, liquidity was taken. The safe stop line shows the consumed level. If the sweep occurred at a high-probability zone with volume confirmation, the conditions for a reversal are in place. The triangle type (solid for major, hollow for minor) tells you how significant the volume event was. Use the gap. In the early part of the week, the weekend gap status is visible on the dashboard. If the gap is open and price is below the Friday close, price has a tendency to return to that level. This can serve as a short-term directional bias early in the week. Check the voids. Unfilled voids represent areas the market has not yet returned to. If price is approaching an unfilled void from outside, it is approaching a zone of imbalance that the market may seek to fill. A void aligned with a swept zone or an EQH/EQL cluster adds structural weight to the expected reaction. 15. Notes - Liquidity Matrix is a context indicator. It maps where liquidity is, where it has been taken, and what levels remain unmitigated. It does not generate entry signals. - All volume values are in the base currency of the trading pair. BTC/USDT shows volume in BTC. SOL/USDT shows volume in SOL. Multiply by price to approximate USD value. - The sweep detection engine uses swing-based pivots. The supply/demand BOS engine uses a separate pivot. These are independent systems with independent lookback settings. - On lower timeframes, more engines running simultaneously increases computation. If the indicator is slow to load, reduce the number of active engines or lower lookback values. - HTF levels require the chart timeframe to be lower than the HTF being referenced. A daily chart will not show daily HTF levels accurately. - The dynamic trendline engine runs every bar. On very long chart histories with tight tolerances, this may produce slightly longer load times. - The liquidity void threshold is relative to ATR(144). On assets with low average volatility, the default threshold may produce very few voids. Reduce the threshold to increase sensitivity. - Weekend gap tracking works on all assets. On CME futures, the gap is a literal data gap. On crypto and 24/7 assets, the gap reflects the Friday close level as an institutional reference. 16. Disclaimer This indicator by Anonycryptous is provided for educational and informational purposes only. All outputs are based on historical price and volume data. Past behavior does not guarantee future results. Trading involves substantial risk of loss. Use at your own discretion.
Indicador Pine Script®
por Anonycryptous
7
Liquidity Echo[BullByte]LIQUIDITY ECHO Liquidity Echo is an original indicator built on a purpose-written four-layer detection architecture where no layer produces a standalone signal and the detection logic is arranged as one unified model. It was built around one core idea: institutional money does not enter markets randomly. It enters at specific price levels where liquidity has been engineered, collected, and then abandoned. This indicator detects those exact moments, measures the market response, and presents a structured reversal entry with full visual trade management directly on the chart. Each of the four detection layers was built to be structurally dependent on the others. The HTF compression zone does not produce a signal. The volume vacuum does not produce a signal. The sweep classification does not produce a signal. The pressure gradient does not produce a signal. None of these elements has any standalone output. A signal exists only when all four agree simultaneously, and the quality score that grades each signal is a composite function of how strongly each layer fired. Remove any single layer and the remaining three produce nothing. This structure is intended as one unified detection system rather than a collection of separate tools with unrelated outputs. --- WHAT PROBLEM THIS SOLVES Most retail traders face two specific problems. The first is identifying where a move is likely to begin before it has already happened. The second is knowing whether a sharp price spike at a key level is a genuine smart money reversal or a continuation trap. Standard tools like RSI, MACD, or Bollinger Bands measure price behavior in isolation. They tell you what price has done but not why, and they do not account for where price sits relative to higher timeframe institutional order flow and supply and demand. Liquidity Echo reads the higher timeframe environment first, identifies where price is coiling inside a compression zone, and then waits for a specific sequence of events at that level before generating any signal. --- THE ORIGIN AND OBSERVATION BEHIND THIS INDICATOR Markets frequently spike through obvious support and resistance levels, trigger stop losses clustered just beyond those levels, and then reverse sharply in the opposite direction. This behavior is often repeatable. A large institutional buy order requires sellers. Those sellers are often concentrated just below visible support, where stop loss orders from long positions accumulate. A liquidity sweep through that level can absorb resting liquidity and is often followed by a reversal. This is the stop hunt mechanism that Liquidity Echo is built to identify. What separates this indicator from any generic spike detector is the requirement that the sweep occur at a level where the higher timeframe is actively compressing. Compression at a level indicates institutional interest, because large participants cause range contraction when they absorb one side of order flow without allowing free price movement. A sweep through a compressed zone is treated as a stronger reversal context than a sweep through an ordinary pivot. --- WHY THESE FOUR SPECIFIC LAYERS AND WHY THEY ARE ORIGINAL Layer one is the HTF compression zone. The indicator measures the current higher timeframe bar range against the average of the three preceding bars. When the current bar is significantly narrower than recent history, the market is coiling and a zone is registered. Compression zones are color-coded by touch count. A fresh untested zone appears in soft purple. A zone tested once appears slightly lighter. A zone tested twice or more appears in orange, indicating stronger significance because repeated testing without a break can show that the level is being defended. Layer two is the volume vacuum. Institutional stop hunts are frequently preceded by a quiet period where market participation drops. The vacuum condition requires that volume fall below a calibrated threshold for a minimum number of consecutive bars before the sweep fires. This helps filter out sweeps that occur on already active volume, which may behave more like continuation moves than reversals. Layer three is the sweep classification. A spike sweep occurs when a candle wicks sharply through the zone boundary and closes back inside. A grind sweep occurs when price pushes slowly through the zone over several bars and then closes back across the boundary without any sharp wick. The spike path is further subdivided. A minor sweep is a small wick extension above the calibrated minimum. A major sweep extends beyond a configurable ATR multiple, indicating a more aggressive stop hunt. A flush sweep represents the most violent classification where a large cluster of stops was cleared in a single candle. Each level contributes differently to the signal quality score. Layer four is the pressure gradient. This is a separate momentum-shift measurement rather than a standard oscillator. It measures the rate of change of a within-bar close location across three bars, derived from the delta concept used in options market microstructure analysis and adapted here as a momentum shift detector timed specifically to the sweep event. Each bar's delta is computed as the ratio of where the close falls within the high-low range, normalized between negative one and positive one. The gradient is the rate of change in this delta from two bars ago to the current bar. A positive gradient on a potential long signal means buying pressure was already accelerating across three bars even while price was spiking down through the zone. This supports the reversal context before the entry candle closes. The sweep classification is not a wick ratio filter applied to any candle. It measures wick extension in ATR units specifically relative to a compressed higher timeframe zone boundary, which is a combined spatial and volatility measurement that requires both the zone and the ATR context simultaneously to compute. The volume vacuum is not a simple volume moving average crossover. It uses a coefficient of variation derived threshold that adapts to whether the instrument has session-structured volume or continuous volume flow, a behavioral classification the indicator measures itself in real time. --- AUTO-CALIBRATION ENGINE The auto-calibration engine is the original technical contribution that makes the four-layer system viable across all asset classes without manual configuration. Many tools that use ATR thresholds, volume ratios, wick filters, or compression logic rely on manual settings or presets, either through a fixed number or an asset class preset. This indicator reduces that requirement by adapting its thresholds to the chart's own behavior. The engine measures three behavioral properties of the current chart at runtime. The wick-body ratio is the average total wick length divided by the average body size over the calibration window. Different instruments can behave very differently. Some show sharp wick-driven sweeps, while others tend to grind through levels more slowly. The engine uses this measurement to set the minimum wick requirement for spike detection and to decide whether grind mode should activate automatically. The volume coefficient of variation is the standard deviation of volume divided by its mean. A high coefficient means volume is session-structured with clear spikes and quiet periods. A low coefficient means volume flows continuously. This calibrates the vacuum threshold and the volume averaging window specific to the instrument's own behavior pattern. The ATR mean percentile measures where current volatility sits within its recent historical range. This calibrates the compression sensitivity so the narrowing threshold adapts to instruments that are normally tight versus instruments that are normally wide. The Sensitivity Bias input is the only manual judgment required. Conservative tightens all thresholds uniformly for fewer, higher-conviction signals. Neutral applies thresholds exactly as measured. Aggressive loosens thresholds for conditions where more signals are preferred. The bias scales every derived threshold by a fixed multiplier so the relationship between all layers remains internally consistent regardless of the setting chosen. --- SIGNAL QUALITY SCORING Every signal that passes all four confirmation layers receives a quality score from zero to ten built from four components. Zone compression strength contributes up to three points. A ratio below 0.55 between the current HTF range and its three-bar average scores three points. Below 0.68 scores two. Below the effective narrowing threshold scores one. Sweep severity contributes up to three points. A flush sweep scores three. A major sweep scores two. A minor or grind sweep scores one. Pressure gradient magnitude contributes up to two points. A gradient above 0.55 in absolute value scores two. Above 0.25 scores one. Zone touch count contributes up to two points. A zone tested twice or more scores two. Tested once scores one. An untested zone scores zero on this dimension. Scores from eight to ten produce a PRIME grade. Six to seven is HIGH. Four to five is MED. Below four is LOW. A gold diamond marks PRIME signals on the chart. A green circle marks HIGH. A yellow square marks MED. A gray cross marks LOW. Traders who want fewer signals can focus on the higher-grade markers. --- HOW TO READ WHAT APPEARS ON THE CHART The EMA line renders as two overlapping plots. A wide semi-transparent outer glow and a solid thinner inner line. Both turn green when price is above the EMA and red when below. Long signals only fire above the EMA. Short signals only fire below it. The EMA is a directional filter, not a signal source. Compression zones appear as filled rectangular boxes spanning the full higher timeframe bar range at the moment of detection. Fresh zones are soft purple. Zones tested once are a slightly lighter purple. Zones tested twice or more shift to orange. Volume vacuum bars carry a very faint yellow background tint on candles where the low-volume precondition is active. The tint is intentionally near-invisible at 96 percent transparency so it provides context without competing with price action. It marks where the trap was being set, not where it fired. Grind sweep markers appear as small orange triangles. An upward triangle below the bar marks a bullish grind sweep detected in progress. A downward triangle above marks a bearish grind sweep. These appear before the commitment candle confirms the signal. They are early warning markers only. When a signal fires, a label appears below the bar for a long entry and above the bar for a short entry. MINIMAL mode shows direction, grade, and score. DETAIL mode adds sweep type, zone price, and all trade levels. The trade forecast visualization draws immediately on signal confirmation. A blue line marks entry. A red line marks the stop loss. Two dashed green lines mark Target 1 and Target 2. A light green box fills the entry to Target 1 zone. A lighter green box fills the Target 1 to Target 2 zone. A light red box fills the stop to entry zone. The first green box deepens in shade when Target 1 is hit. The second deepens when Target 2 is hit. The stop line updates in real time when trailing stop or breakeven is active. The trailing stop renders as a dual-layer line matching the EMA visual style. Green for a long trail, red for a short trail. It ratchets in the direction of the trade and never moves against the position. TRADE ANALYSIS - CHART OVERVIEW BTC Perpetual Futures Contract BINANCE:BTCUSD.P Time Frame 5 mins WHAT THE SIGNALS TELL US: This chart demonstrates both long and short reversal opportunities in the same trading session. The first signal was a LONG entry triggered by a minor spike sweep below zone 76079.9, graded MED 5/10 quality, which reached both targets in the example shown. The second signal was a SHORT entry triggered by a grind sweep above zone 76577.6, graded MED 4/10 quality, after price failed to sustain the rally and began reversing. Multiple orange triangle markers throughout the chart show where the grind sweep detection algorithm identified slow institutional accumulation or distribution patterns that preceded directional moves. The yellow square quality symbols indicate both signals were medium-grade setups-not the highest conviction (which would show gold diamonds), but sufficient quality to warrant entries with proper risk management. WHAT THE DASHBOARD ELEMENTS MEAN: The dashboard provides real-time market context that helps evaluate signal quality and trade conditions. The STATE indicator shows whether the system is scanning for new setups or managing an active position. HTF ZONE tracking displays how many compression zones are currently being monitored-these are the price levels where institutional liquidity is likely to accumulate. COMPRESS indicates whether price range is narrowing (coiling energy) or expanded (post-move). ATR% measures current volatility relative to recent history: HOT means explosive conditions favorable for hitting targets, FLAT means low volatility where moves stall. VACUUM detects when volume drops below normal before a sweep, signaling institutional preparation. VOL RATIO compares current bar volume to the rolling average-spikes confirm that stops were actually hunted. SWEEP classification (MINOR, MAJOR, FLUSH, GRIND) tells you how aggressively the level was cleared. GRADIENT measures momentum direction-positive favors longs, negative favors shorts. TREND with EMA shows the macro directional filter-price above EMA enables longs, below enables shorts. CALIBRATION LIVE means thresholds auto-adjust to the current instrument's behavior, while GRIND mode activates when the system detects slow-push sweep patterns. Quality scoring combines all these factors to produce the 0-10 grade that appears on each signal label. --- THE DASHBOARD PANEL The dashboard sits in the top right corner of the chart and displays the complete state of the indicator at the current bar in real time. It is organized into thirteen rows. The header row shows the indicator name, the author name, the current sensitivity bias setting, and whether calibration is live or locked. The state row shows whether the indicator is scanning for a setup or has an active trade. When active it shows LONG ACTIVE or SHORT ACTIVE . The right side of this row shows the stop loss distance in price units and ATR multiples. The HTF zone row shows whether the zone system is active and how many zones are currently tracked. The compression row shows the current compression strength as NONE, LIGHT, MEDIUM, or STRONG . The right side shows the current ATR percentile with a HOT, NORM, or FLAT label indicating whether volatility is elevated, normal, or suppressed. The vacuum row shows whether the volume vacuum condition is currently active and displays the current volume ratio as a multiple of the rolling average. The sweep row shows the current sweep classification if a sweep is pending or the classification of the most recent signal if a trade is active. The gradient value is displayed on the right with green coloring for positive, red for negative, and white for near-zero. The quality row shows the visual quality bar and the grade with score when a trade is active. The quality bar uses simple characters to show the score at a glance. The TP1 and TP2 row shows exact target prices when a trade is active and updates to show HIT when each level is reached. The stop row shows the current stop loss price and whether it is initial, trailing, or moved to breakeven. The position row shows what percentage of the position remains open after any partial close at Target 1. The trend row shows whether the macro bias is BULL or BEAR based on the EMA and displays the current EMA value. The sweep expiry row shows how many bars remain in the commitment window if a sweep is pending but not yet confirmed. The calibration row shows whether the auto-calibration engine is LIVE or LOCKED , and shows the grind mode status and the configured stop loss ATR multiplier. --- A WALK-THROUGH OF A COMPLETE SIGNAL Consider a bullish example. The higher timeframe has been compressing for several bars. The compression zone is registered and appears as a purple box on the chart between two price levels, for example 42200 and 42350 on a Bitcoin five-minute chart. Price approaches from above and enters the zone. Volume begins to drop across two or three bars, triggering the vacuum condition and tinting those bars with a faint yellow background. On the next bar price spikes sharply below the bottom of the zone to 42080, creating a wick of approximately 120 points below 42200. The wick extends 0.9 ATR below the zone boundary, qualifying as a MAJOR sweep. The candle body closes back at 42210, inside the zone. The pressure gradient at this point reads positive 0.38, meaning buying pressure has been accelerating across the last three bars despite the downward spike. All four conditions are now satisfied: compression zone present, volume vacuum active, MAJOR sweep detected, gradient positive and above threshold. The sweep state is recorded. The dashboard updates to show SWEEP : MAJOR and the remaining bars in the commitment window begin counting down. On the following bar a bullish candle forms. It has a body of 85 points, which exceeds the minimum body size requirement relative to ATR. Volume on this candle is 1.2 times the rolling average, above the 0.65 minimum. The candle closes at 42310, above the zone low of 42200. All commitment candle conditions pass. The signal fires. A label appears below that bar reading LONG HIGH 7/10. A green circle shape appears above the bar marking a HIGH grade signal. The trade forecast boxes appear: a green box from 42310 to 42510 for Target 1 region, a lighter green box from 42510 to 42660 for Target 2 region, and a red box from 42310 down to 41910 for the stop zone. The entry line is drawn at 42310. The stop line is drawn at 41910. Target 1 is drawn at 42510. Target 2 is drawn at 42660. The dashboard updates to show LONG ACTIVE, the exact stop and target prices, the quality grade of HIGH at 7 out of 10, and POS REMAIN at 100 percent. When price reaches 42510 the TP1 box deepens in shade. The dashboard shows HIT on the TP1 row. POS REMAIN drops to 50 percent. If breakeven is enabled the stop line on the chart moves up to 42310 and the dashboard stop type changes to BREAKEVEN . When price reaches 42660 the TP2 box deepens. The dashboard shows HIT on the TP2 row. The trade closes. The lines and boxes move into history if the historical display option is enabled, fading slightly to distinguish them from any new active trade. Chart Example of a Long "High" Grade Signal full lifecycle BTC Perpetual Futures Contract BINANCE:BTCUSD.P Time Frame 5 mins IMAGE 1: SIGNAL GENERATION & PRE-CONDITIONS What Triggered the Signal: A grind sweep was detected at zone 77699.7. Price slowly pushed below the compression level over several bars (orange triangle marker visible on left side), then reversed with a commitment candle. Dashboard shows SWEEP: GRIND with GRADIENT: 0.54 confirming positive momentum shift. VACUUM: NO indicates volume was not in vacuum state during this particular signal. The sweep window counter shows 7/8 bars remaining, meaning the indicator is waiting for final commitment candle confirmation before entering the trade. Pre-Condition Dashboard Readings: COMPRESS: NONE - No active compression detected at this moment ATR%: 42.9% NORM - Volatility in normal range VACUUM: NO - Volume condition not active VOL RATIO: 1.51x - Volume 1.51 times the average GRADIENT: 0.54 - Strong positive momentum TREND: BEAR - EMA at 77762.5, price below (note: this signal appears to have fired despite bearish EMA, possibly EMA filter was disabled or price was transitioning) IMAGE 2: TRADE SETUP & ACTIVE MANAGEMENT Trade Entry Confirmation: The commitment candle confirmed, and the trade entered. Dashboard now shows STATE: LONG ACTIVE, indicating the position is open. Signal label displays " LONG HIGH 6/10 Sweep: GRIND Zone: 77723.0" with green circle quality marker (HIGH grade). Stop Loss & Target Calculation: Entry Zone: 77838.0 Stop Loss: 77511.2 (placed 2 ATR below entry) SL Distance: 327.5 points (2 ATR) shown in dashboard as "SL DIST: 327.5 (2 ATR)" Target 1: 78166.2 (327.5 points profit, 1 R) - 50% position close Target 2: 78411.8 (573 points profit, 1.5R) - remaining 50% Active Trade Dashboard: STATE: LONG ACTIVE QUALITY: ||||||||.... (8 bars filled) GRADE: HIGH 6/10 TP1 (50%): 78166.2 | TP2 (50%): 78411.8 STOP: 77511.2 | TYPE: INITIAL POS REMAIN: 100% (full position still open) TREND: BULL (EMA 21: 77774.8) - price has crossed above EMA confirming bullish bias VACUUM: ACTIVE (yellow highlight visible on some bars) VOL RATIO: 0.09x - Low volume, waiting for high volume to confirm institutional participation GRADIENT: 0.66 (Strong positive momentum) SWEEP EXP: In Trade (window closed, position active) IMAGE 3: TRADE PROGRESS & ACHIEVEMENT Target Achievement: Price rallied from the entry at 77838 and reached 78,411.0 (shown in the top right), representing a 573-point profit. The green profit boxes are fully filled showing price traveled through both reward zones. Purple horizontal line visible near 78,390 level marking current price or a new resistance zone. Post-Trade Dashboard: STATE: SCANNING (trade closed, position exited) HTF ZONE: ACTIVE with COUNT: 1 zones being tracked COMPRESS: NONE ATR%: 9.1% FLAT - volatility compressed significantly after the move VACUUM: ACTIVE - volume vacuum condition now present (post-move exhaustion) VOL RATIO: 0.53x - volume dropped to 53% of average confirming the move is complete TREND: BULL (EMA 21: 78227.4) - price well above EMA Quality/Grade/TP fields: - (cleared because no active trade) In the example shown, both level 1 (78166.2) and level 2 (78411.8) were touched. The trade reached approximately 1.0R at TP1 and 1.5R at TP2, with 50% of the position closed at each level. The grind sweep at 77723.0 identified the liquidity absorption area that preceded the rally. The current price of 78,390.0 represents approximately 573 points of illustrative move from the entry. --- RECOMMENDED SETTINGS BY MARKET For cryptocurrency on a 5-minute chart, the recommended HTF reference is 15 minutes. The EMA can be set to 21 for fast trend alignment. The sensitivity bias can start at NEUTRAL and be adjusted to AGGRESSIVE on high-liquidity pairs during active sessions. For equity index futures on a 5-minute chart, the recommended HTF reference is 30 minutes or 1 hour. The EMA can be set to 50. The sensitivity bias works best at CONSERVATIVE or NEUTRAL because index instruments tend to grind slowly and produce more noise with aggressive settings. For forex major pairs on a 15-minute chart, the recommended HTF reference is 1 hour. The grind sweep path is particularly effective on forex due to the low wick-body ratio of most major pairs. The EMA at 50 provides clean directional filtering. For equities on daily charts , the recommended HTF reference is 4 hours. The calibration window can be increased to 200 bars for more stable threshold measurement on slower instruments. The indicator works on any timeframe and any asset class without requiring manual configuration because the auto-calibration engine reads the instrument's behavior directly. The recommended settings above are starting points for users who prefer guidance. The behavior metrics displayed in the dashboard can help users understand whether their current settings are appropriate for the instrument they are trading. --- TRADE MANAGEMENT DEFAULTS AND HOW TO ADJUST THEM The default stop loss distance is two ATR. This is intentionally wider than typical scalping tools to accommodate the nature of liquidity sweep entries, where price frequently makes one final push against the position before reversing. A stop placed too tightly below or above a sweep zone will be taken out by the very move the signal is identifying. Target 1 defaults to two ATR from entry, producing a one-to-one risk-to-reward on the first half of the position. Target 2 defaults to 3.5 ATR, producing a one-to-1.75 risk-to-reward on the remaining position. By default fifty percent of the position is closed at Target 1 and fifty percent runs to Target 2. This split can be adjusted between ten and ninety percent in the settings. The breakeven option moves the stop to the entry price once Target 1 is hit. This eliminates all risk on the remaining position after the first target is reached. The trailing stop option activates a ratcheting stop that follows the lowest low of the last four bars for long trades and the highest high for short trades, minus or plus the configured ATR offset. The trail can start immediately at entry or only after Target 1 is hit, depending on the Trailing Starts After setting. The timeout setting closes the trade if Target 1 is not reached within the configured number of bars. This prevents capital from being tied up in stalled setups indefinitely. The minimum bars between signals setting prevents back-to-back entries on the same directional impulse. At the default of eight bars on a five-minute chart, this means a new signal in the same direction cannot fire within forty minutes of the previous one. --- HOW TO USE THE TWO-BAR CONFIRMATION OPTION The two-bar confirmation setting requires that both the commitment candle and the candle immediately before it close in the signal direction and on the correct side of the zone. This setting is intended for instruments that produce many false commitment candles on the first bar of a potential reversal. On indices and slower-moving instruments enabling this option reduces entries by approximately thirty to forty percent but eliminates most of the premature entries where the reversal fails on the first bar. The cost of this setting is one bar of lag. On a five-minute chart this means the entry is delayed by five minutes from the initial sweep detection. On a one-minute chart this delay is acceptable for intraday scalping. On a fifteen-minute chart the delay may cause significant slippage relative to the optimal entry zone. Users should test this option on their specific instrument and timeframe before relying on it. --- WHAT THE GRIND PATH DETECTS AND WHY IT EXISTS The grind sweep path exists because not all instruments produce sharp spike wicks through key levels. Equity indices in particular tend to slowly close beyond a level across multiple bars before reversing. A traditional wick-based detection system would miss these sweeps entirely because no individual candle has a wick large enough to qualify. The grind path looks back a configurable number of bars to check whether price was outside the zone boundary during any of those bars. If price was beyond the zone and the current bar closes back inside with a body in the reversal direction and the gradient confirms the momentum shift, the condition qualifies as a grind sweep. It receives the same treatment as a spike sweep from the commitment candle onward. The orange triangle markers on the chart show where grind conditions were detected, which is useful for understanding how often this path fires on your specific instrument versus the spike path. --- ALERTS Eight alert conditions are available . The Long Signal and Short Signal alerts fire when a full confirmed entry is generated. The Bull Sweep and Bear Sweep alerts fire when a sweep is detected but before the commitment candle has confirmed. These earlier alerts allow traders to watch for the setup manually and decide whether to act. The Target 1 Hit and Target 2 Hit alerts notify when each level is reached. The Breakeven alert fires when the stop is moved to entry. The Trailing On alert fires when the trailing stop activates. All alerts use TradingView's standard alert condition system. To set an alert, add the indicator to your chart, click the alert creation button, and select any of the eight named conditions from the dropdown. Alerts can be set to once per bar close on the signal conditions to ensure only confirmed bars trigger notifications. --- IMPORTANT NOTES ON TIMEFRAME ALIGNMENT The HTF reference should always be set to a timeframe higher than the chart you are viewing the indicator on. Setting the HTF reference to the same timeframe as the chart produces redundant zone detection that does not add higher timeframe context. Setting it to a lower timeframe is not valid and should be avoided. The indicator requires a minimum number of bars equal to the calibration window before any signals are generated. At the default calibration window of 100 bars, the first 100 candles on any chart will show no signals while the engine builds its behavioral measurements. This is indicated in the code by the ready condition and is by design. On very low timeframes such as one-minute charts, the calibration window represents only about 100 minutes of data. Users on one-minute charts may want to increase the calibration window to 200 bars for more stable threshold measurement across a full session. --- DISCLAIMER This indicator is published for educational and informational purposes only. Nothing in this publication or in the indicator's output constitutes financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All trading involves substantial risk of loss. Past signal performance visible on historical charts does not guarantee or predict future results. The visual trade management levels shown on the chart are illustrative and do not represent guaranteed exit points. Slippage, spread, and market conditions will affect actual trade outcomes. Always apply your own analysis and risk management before entering any trade. Never risk more than you can afford to lose.
Indicador Pine Script®
por BullByte
10
Volume Band Asymmetric: Dynamic Volatility EnvelopesThis indicator filters market noise by dynamically adjusting entry bands based on candle structure (Wick/Body) and real-time volume analysis. By using an asymmetric approach, it identifies exhaustion points where price tends to revert or break out, giving you a statistical edge in trending and ranging markets Dynamic Offsets: Uses candle statistics (Wick, Body, or ATR) to define support/resistance bands. Volume Normalization: The Volume Power input scales the channel width based on relative volume, expanding bands during high volatility/volume. Crypto: Use higher volLookback and ATR settings to filter high-volatility spikes. Forex: Tighten the multipliers (multBuy/multSell) to capture smaller, frequent trend exhaustion points. I’m committed to making this tool as accurate as possible. Your feedback is invaluable! Please share your backtest results, suggest features, or report any issues in the comments below. Let’s evolve this strategy together! Disclaimer: Trading involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. This script is for educational purposes only.
Indicador Pine Script®
por MyStrategyHub
Delta Absorption Scanner[MarkitTick]💡 This advanced analytical tool is engineered to bridge the gap between price action and order flow dynamics by identifying critical moments where market participants encounter significant liquidity barriers. In the modern trading landscape, volume alone is often insufficient to determine market direction. The Delta Absorption Scanner provides a sophisticated lens through which traders can observe the interaction between aggressive market orders and passive limit orders, specifically highlighting "Absorption" events. These events occur when high-volume "Effort" fails to produce a proportional price "Result," signaling a potential exhaustion of the current trend or a hidden accumulation/distribution phase. By synthesizing volume delta, candle spread, and multi-timeframe context into a unified interface, this script empowers traders to make decisions based on the structural integrity of the market rather than superficial price movements. ✨ Originality and Utility The primary utility of this script lies in its multi-layered approach to market analysis, moving beyond simple oscillators or trend-following moving averages. Unlike standard volume indicators that merely report total activity, this scanner differentiates between buying and selling pressure by calculating candle-based delta, allowing for a more granular view of market intent. The script introduces a unique "Scanner" architecture that monitors four distinct high-timeframe (HTF) perspectives simultaneously. This provides an institutional-grade view of the trend without the need to constantly switch chart intervals. It incorporates a proprietary "Absorption" detection logic that correlates delta percentage with the physical spread of the candle. This identifies "hidden" strength or weakness that is often invisible to the naked eye. The inclusion of Fair Value Gap (FVG) and Swing High/Low detection within the dashboard creates a comprehensive "Confluence Engine," ensuring that short-term delta signals are validated by higher-level market structures. By utilizing non-repainting multi-timeframe logic (security calls with index offsets), the indicator maintains the highest standards of data integrity, making it suitable for both discretionary trading and systemic strategy development. 🔬 Methodology and Concepts The core logic begins with the calculation of "Candle Delta," which determines the dominant force within a single bar based on its polarity. If a candle closes above its open, the entire volume is attributed to positive delta; if it closes below, it is negative. The indicator then calculates the "Spread," defined as the absolute distance between the high and low of the bar. This metric is critical for the "Effort vs. Result" analysis. Absorption is mathematically flagged when a candle exceeds the user-defined "Minimum Delta %" threshold but fails to generate significant directional movement, or when the spread is disproportionately small compared to the volume injected. The Support (S3) and Resistance (R3) levels are derived from the most recent significant high-volume or high-delta bars, creating dynamic zones that reflect where institutional liquidity was last engaged. Multi-Timeframe Integration: The script utilizes the request.security() function with a bar offset. This ensures that the data displayed from higher timeframes is "confirmed" and prevents the visual bias known as repainting. Trend determination on the dashboard is calculated using a proprietary relationship between the current price and the 14-period smoothed high/low averages, providing a stable "Trend Bias" for each monitored timeframe. ● Main Feature Components • Volume Delta labels The script places dynamic labels above or below candles that exhibit significant delta. These labels display the Delta percentage, helping traders identify where "Climax" volume is occurring. • Spread Analysis (S) Next to the Delta % is a value representing the "Spread." This allows for an immediate visual comparison: High Delta with Low Spread suggests passive absorption (reversal), while High Delta with High Spread suggests aggressive momentum (continuation). • Multi-Timeframe (HTF) Dashboard A sophisticated table displayed on the chart that aggregates data from up to four higher timeframes. This dashboard is the "brain" of the scanner, providing a bird's-eye view of the market's broader health. 🎨 Visual Guide Positive Delta Labels: Displayed as green labels with white text. These signify bars where buying volume was dominant. Negative Delta Labels: Displayed as red labels with white text. These signify bars where selling volume was dominant. Neutral/Spread Labels: Displayed in a dark neutral color to represent bars where the spread is being analyzed without a significant delta bias. Dashboard - Trend Column: Displays "UP" in green for bullish regimes and "DN" in red for bearish regimes for each of the four HTF settings. Dashboard - S3/R3 Column: Displays the price of the nearest significant support or resistance level identified by the script. Dashboard - Distance % Column: A dynamic calculation showing how far the current price is from the S3/R3 levels. Green indicates distance from support, while red indicates distance from resistance. Dashboard - FVG Column: Displays "+FVG" in green if a bullish Fair Value Gap exists on that timeframe, or "-FVG" in red if a bearish gap is present. Dashboard - Swing Column: Identifies if the current price is near a local "Top" or "Bottom" based on pivot logic. 📖 How to Use Step 1: Identify "Effort" on the Chart. Look for a large Delta % label (e.g., >20%) appearing at a local high or low. Step 2: Analyze the "Result." If the Delta is high (Green/Positive) but the candle spread (S) is small and price fails to move higher, this is a classic Bearish Absorption signal. Limit sellers are "absorbing" the market buyers. Step 3: Consult the Dashboard. Check if the HTF trends are in alignment. For a short trade based on Bearish Absorption, you ideally want to see "DN" trends on higher timeframes and the presence of a "-FVG." Step 4: Proximity to S/R. Use the "Dist %" column to ensure you are not selling directly into a higher-timeframe support (S3) or buying directly into resistance (R3). Step 5: Confluence. The highest probability trades occur when a Delta climax appears at a dashboard-confirmed Swing Top/Bottom in the direction of the HTF trend. ⚙️ Inputs and Settings Positive/Negative Delta Color: Customizes the aesthetic of the bull/bear labels to match your chart theme. Max Labels on Chart: Controls the lookback period for visual labels to maintain chart performance and reduce clutter. Minimum Delta % to Show: A sensitivity filter. Higher values (e.g., 50%) will only show the most extreme volume events, while lower values (e.g., 10%) provide more frequent signals. Show Spread (S): Toggles the visibility of the candle spread value within the labels. HTF 1-4 Settings: Allows the user to define which timeframes the dashboard should track (e.g., 1H, 4H, Daily, Weekly). Dashboard Position: Permits the user to move the table to different corners of the chart for better visibility. 🔍 Deconstruction of the Underlying Scientific and Academic Framework • The Law of Effort vs. Result Based on the principles established by Richard Wyckoff, this indicator quantifies "Effort" as Volume Delta and "Result" as Price Spread. In a balanced market, increased effort should lead to an equivalent result. When these two diverge (Anomalies), it suggests a change in market character. • Auction Market Theory (AMT) The indicator utilizes AMT principles by identifying areas of "High Volume Nodes" (represented by S3/R3) where the market has found value or met significant opposition. The "Distance %" feature measures the market's deviation from these nodes, which often acts as a mean-reversion catalyst. • Order Flow Imbalance While traditional indicators use price as a lagging derivative, the Delta Absorption Scanner attempts to lead price by observing the imbalance between aggressive market participants. By isolating the delta within each bar, the script identifies where one side of the "Auction" is becoming exhausted. • Statistical Significance of Spread The inclusion of spread analysis is rooted in statistical volatility measurements. A narrow spread during high volume indicates a high density of limit orders (Liquidity), which is a precursor to price reversals or significant breakouts once the liquidity is exhausted. • Multi-Timeframe Structuralism The scanner's architecture is based on the theory that lower-timeframe "noise" is resolved by higher-timeframe "structure." By mapping FVGs and Swings across four dimensions, the script applies a fractal analysis to the current bar's delta events. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
Long/Short Ratio [BigBeluga]🔵 OVERVIEW Long/Short Ratio is a lower-timeframe volume imbalance analyzer that estimates real-time buyer vs seller dominance inside each bar. Instead of relying on exchange-reported positioning data, this indicator reconstructs directional pressure by aggregating volume from lower timeframes and separating it into buy-side and sell-side flow. The result is a dynamic percentage-based long/short ratio that reflects immediate participation shifts and short-term positioning pressure. 🔵 CORE CONCEPT Directional Volume Segmentation — Volume is classified as positive (buyers) when close > open, and negative (sellers) when close < open. Lower-Timeframe Aggregation — The script pulls volume data from smaller internal timeframes and aggregates it into the current chart bar. Buyer vs Seller Percentage — Total positive and negative volumes are converted into percentage ratios. Momentum Shift Detection — A smoothed change of the ratio helps detect acceleration or deceleration in positioning pressure. 🔵 HOW IT WORKS 1️⃣ Lower-Timeframe Volume Sampling The script automatically determines an internal lower timeframe based on the current chart timeframe. Volume is requested using request.security_lower_tf() . array delta_sign = request.security_lower_tf('', lower_tf, (close > open ? volume : -volume)) This allows intra-bar analysis instead of using only finalized candle volume. 2️⃣ Buyer / Seller Calculation If close > open → volume counts as buyer pressure. If close < open → volume counts as seller pressure. Buyer and seller totals are accumulated separately. Percentages are calculated: Buy % = Buyers / Total Volume Sell % = Sellers / Total Volume 3️⃣ Ratio Visualization Long (Buy %) plotted as teal columns. Short (Sell %) plotted as maroon columns. 50% midline represents balance between buyers and sellers. A stepline tracks the Buy % ratio for clarity. 4️⃣ Smoothed Ratio Momentum The indicator calculates a smoothed HMA of the user-defined change in Buy %. This produces a momentum curve showing acceleration in dominance. Color logic: Teal → Increasing long pressure Maroon → Increasing short pressure A dynamic midline (average of recent values) provides equilibrium reference. 5️⃣ Main Chart Dashboard A dedicated heads-up display (HUD) is anchored to the top-right of your main price chart (via force_overlay). This table provides the exact real-time Buy/Sell percentages of the current candle at a glance. Provides instant clarity without having to look down at the indicator pane. 6️⃣ Extreme Sentiment Signals Visual plotshape icons appear directly on the main chart when sentiment hits user-defined extreme thresholds. Extreme Buy: A triangle appears at the bottom of the price chart when buyers exceed the limit (default 80%). Extreme Sell: A triangle appears at the top of the price chart when sellers exceed the limit (default 80%). These markers help identify potential reversal points or "exhaustion" spikes. 🔵 KEY FEATURES Lower-timeframe volume reconstruction. Real-time Buy vs Sell percentage display. Main chart dashboard for immediate data access. Adjustable Extreme Sentiment markers and thresholds. Customizable colors and smoothing periods for the momentum curve. Clear 50% equilibrium reference line. Dynamic long/short stepline. Automatic timeframe adaptation. Visual Buy / Sell labels with live percentage updates. 🔵 HOW TO USE Above 50% Buy → Long pressure dominance. Below 50% Buy → Short pressure dominance. Watch for strong divergence between price and ratio. Use the smoothed ratio curve to detect acceleration in positioning. Extreme spikes (marked by triangles) can indicate exhaustion or breakout fuel. Best used on 5-minute and higher timeframes for reliable aggregation. 🔵 INTERPRETING POSITIONING Rising price + rising Buy % → Confirmed bullish participation. Rising price + falling Buy % → Weak trend / potential divergence. Falling price + rising Buy % → Absorption. Extreme imbalance → Potential short squeeze or long squeeze setup. 🔵 CONCLUSION Long/Short Ratio provides a clean, data-driven view of intrabar participation pressure without relying on external exchange positioning feeds. By combining lower-timeframe aggregation, percentage imbalance, and smoothed momentum detection—now enhanced with a main chart dashboard and extreme signal icons—it offers a practical tool for spotting positioning shifts, divergence, and participation-driven breakouts.
Indicador Pine Script®
por BigBeluga
8
Naive Bayes DNA Heatmap | GainzAlgoThe Naive Bayes Volume Heatmap is a predictive analytical suite that moves beyond traditional lagging indicators. While a standard RSI or MACD simply tells you where price has been, this system uses Gaussian Machine Learning to determine the statistical probability of where price is going. By analyzing the Volume of a candle, the internal distribution of volume, delta, and price force, the indicator visualizes market sentiment as a multi-layered heatmap. It allows traders to see whether the current price action is backed by institutional flow or is simply noise. Core Logic: The Naive Bayes Engine The brain of the system is a Gaussian Naive Bayes (GNB) classifier. This is a machine learning algorithm that calculates the probability of an event based on prior conditions. How it Learns The model continuously "trains" itself on a lookback window (default 500 bars). It analyzes two primary features: Intensity (Feature 1): Relative Volume (1m mode) or Net Delta (Footprint mode). Directional Force (Feature 2): The relationship between price spread and volume (1m mode) or POC Distance (Footprint mode). Here is the self contained function that does the heavy lifting of the probability analysis: f_naive_bayes(float feat1, float feat2, float target, int len) => m1_f1 = ta.sma(target > 0 ? feat1 : na, len), m1_f2 = ta.sma(target > 0 ? feat2 : na, len) m0_f1 = ta.sma(target <= 0 ? feat1 : na, len), m0_f2 = ta.sma(target <= 0 ? feat2 : na, len) v1_f1 = math.pow(ta.stdev(target > 0 ? feat1 : na, len), 2), v1_f2 = math.pow(ta.stdev(target > 0 ? feat2 : na, len), 2) v0_f1 = math.pow(ta.stdev(target <= 0 ? feat1 : na, len), 2), v0_f2 = math.pow(ta.stdev(target <= 0 ? feat2 : na, len), 2) p1 = nz(ta.sma(target > 0 ? 1.0 : 0.0, len), 0.5) l1 = f_pdf(feat1, nz(m1_f1), nz(v1_f1)) * f_pdf(feat2, nz(m1_f2), nz(v1_f2)) * p1 l0 = f_pdf(feat1, nz(m0_f1), nz(v0_f1)) * f_pdf(feat2, nz(m0_f2), nz(v0_f2)) * (1.0 - p1) prob = nz(l1 / (l1 + l0 + 0.000001), 0.5) This function is the engine of the indicator. It implements a Gaussian Naive Bayes Classifier directly in Pine Script to calculate the real-time probability of a bullish move. Here is a breakdown of how this code processes market data: Class Separation (The "M" and "V" Variables) The function splits historical data into two buckets based on the target (Price Action): Bucket 1 (Bullish): Data from bars that closed green. Bucket 0 (Bearish): Data from bars that closed red. It then calculates the Mean (m) and Variance (v) for each feature within those buckets. This creates two distinct "profiles"—essentially a mathematical fingerprint of what a Bullish bar looks like versus a Bearish one. Bayesian Inference (The Result) Finally, it applies Bayes' Theorem to combine these likelihoods with the Prior Probability (p1)—which is simply the historical win rate of green bars over the lookback period. The final prob is a normalized value between 0 and 1. If the result is 0.85, the model is signaling an 85% statistical probability that the current market conditions align with historical bullish reversals. The Math As discussed above, the engine uses the Probability Density Function (PDF) to map these features onto a bell curve. It asks: "In the past, when we saw this specific volume intensity and this specific price force, how often did the next bar close green versus red?" The result is a Win Probability %. If the probability is >50%, the bias is Bullish; <50% is Bearish. The Heatmap The Heatmap is a vertical stack of 20 independent probability layers. Multi-Horizon Smoothing: Each layer represents a different generation of the Naive Bayes calculation, ranging from ultra-fast (5-bar smoothing) to long-term (100-bar smoothing). Specialized Features The Power Index (The White Line) The Power Index is your Confluence Meter . It scans all 20 layers of the data and counts how many are currently signaling a trend above a 60% threshold. A spiking Power Index indicates that the trend is synchronizing across all time horizons, a high-probability entry signal. Footprint Mode vs. 1-Minute Mode 1-Minute Precision: When active, the script uses request.security_lower_tf to deconstruct the current chart bar into 1-minute slices. It finds the "hidden" intent inside the candle that standard indicators miss. Footprint Analysis: This mode hooks into raw Exchange Order Flow. It calculates Aggressive Buying vs. Aggressive Selling to feed the Naive Bayes engine the most "raw" data possible. The sidebars: Unique to Footprint mode, these wide neon bars appear to the right of the heatmap. Real-Time Volume Scaling: The bars grow and shrink based on the current bar's Buy/Sell volume ratio. Divergence Spotting: If the Heatmap is bright Aqua (Bullish) but the Pink Sell Box is 80% full, you are witnessing Absorption, big players are absorbing the selling, often leading to a massive squeeze. How to Use the Suite The Elite Entry Identify the Bias: Check the NB Probability in the table. You want to see >65% for a high-probability trade. Confirm the Match: Ensure the heatmap layers are expanding (moving from the dark center toward the bright edges). Check the Power Index: Wait for the white line to curve upward, confirming momentum is stacking. The Signal: When the "NB SIGNAL" cell in the table flips to ELITE LONG or ELITE SHORT, the statistical edge is at its peak. The Elite Exit Exit when the inner layers of the heatmap turn back to Midnight Charcoal or the opposite color. This indicates that the immediate heartbeat of the trend has faded, even if the longer-term layers are still colored.
Indicador Pine Script®
por GainzAlgo
407
Murphy Volume AnalystMurphy Volume Analyst (MVA) Murphy Volume Analyst is a volume confirmation tool inspired by John Murphy’s principle that volume should confirm price. The script is designed to help traders judge whether a move is supported by real participation or whether it is occurring on weak activity. A strong price move with weak volume is often suspect. A move supported by expanding volume is generally more credible. FEATURES www.tradingview.com 1. VMA Baseline The script uses a Volume Moving Average (VMA) to define normal activity. This helps separate Heavy Volume from Light Volume and filters a large part of raw volume noise. 2. Climax Detection When volume reaches an extreme multiple of the VMA, the script prints a “V” label. This marks unusual participation and can signal either institutional activity, trend expansion, capitulation, or exhaustion depending on context. 3. RVOL Dashboard The script includes Relative Volume (RVOL) logic for intraday trading. Instead of only comparing current volume to a generic average, it compares activity to the same time slot in previous sessions. This makes the tool especially useful for session-driven markets such as US30 and Gold. UNIFIED DECISION PROTOCOL This script is intended as a confirmation layer, not a standalone entry system. Step 1: Identify statistical deviation or opportunity using the Pairs Runner / Z-Score framework. Step 2: Check whether price is trading in the MSD Sweet Spot. Step 3: Use MVA as the final confirmation filter. Preferred condition: - Heavy Volume color is active - RVOL > 1 - price action is aligned with the setup direction If volume does not confirm, the setup is lower quality. VISUAL LEGEND Bright Green: Price rising with Heavy Volume Bright Red: Price falling with Heavy Volume Gray: Light Volume / reduced participation “V” label: Climax volume event relative to the VMA RVOL > 1: Higher-than-normal activity for that time of day BEST USE CASES - Volume confirmation for breakout or continuation setups - Filtering weak MSD entries - Session-based intraday analysis - Identifying whether a move is backed by real participation DISCLAIMER This script is for educational and analytical purposes only. It is not financial advice. Trading involves risk, and all decisions remain the responsibility of the user.
Indicador Pine Script®
por TheFlowStateTrader
Relative Volume Context [Alturoi]Relative Volume Context evaluates whether current volume is unusual relative to its historical time-of-day or calendar context. Instead of comparing volume to a global average, the script estimates expected volume for the current time bucket (e.g., minute of hour, hour of day, day of week, month). This creates a like-for-like comparison against historical behavior occurring at the same structural moment. All outputs are derived from a single statistical volume model. How It Works For each selected time bucket, the script maintains: Sample size (N) Mean volume (expected value) Variance (used for Z-Score) When a new bar forms, current volume is compared to the historical statistics of its bucket. This produces: Expected Volume – Typical volume for this time bucket Difference – Actual minus expected Surprise (%) – Relative deviation from expected Z-Score – Standardized deviation from the historical distribution Sample Size & Confidence – Transparency into statistical reliability Optional session-aware bucketing allows intraday traders to model volume relative to session structure. Why Time Conditioning Matters Volume follows structural patterns (open, midday, close, weekday effects). Comparing current volume to a global average ignores these effects. By conditioning volume on time, the indicator helps distinguish: Routine activity Statistically elevated participation Structurally quiet periods How to Use This indicator is designed as a contextual tool, not a trading signal. It may assist in: Evaluating whether breakouts occur with elevated participation Distinguishing routine session volume from abnormal spikes Assessing whether price movement is supported by unusual activity Interpret readings alongside price structure and risk management. Disclaimer This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past behavior does not guarantee future results.
Indicador Pine Script®
por Alturoi
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.
Indicador Pine Script®
por BigBeluga
7
Volume Flow Analysis [UAlgo]Volume Flow Analysis is a price mapped volume study that distributes historical activity across price levels and separates that activity into directional pressure, stealth style movement, imbalance zones, absorption zones, Point of Control, Value Area, and profile shape. Instead of reading volume only bar by bar, the script converts a rolling section of chart history into a horizontal market map where each price level receives its own buy pressure, sell pressure, and movement efficiency profile. The script works on the latest bar and rebuilds the full map from a rolling historical window. That window can either use the full user selected lookback or a shorter effective depth when decay is enabled. This gives more recent bars a stronger influence while older bars gradually lose weight. The result is a profile that can behave either like a stable historical map or like a more adaptive flow view depending on the selected decay factor. Inside each price bucket, the script estimates directional pressure by splitting volume into buy side and sell side portions based on where price closed inside the bar range. It then distributes those portions across all buckets touched by the bar using proportional overlap. At the same time, it builds a separate stealth flow style measure based on range per unit of volume, which acts as a proxy for how much price movement occurred relative to participation. From there, the script identifies the Point of Control, expands outward to build the seventy percent Value Area, classifies the overall profile shape, highlights extreme buy or sell imbalances, detects absorption style conditions, and optionally extends those key zones across the historical range. A legend table summarizes the active state of the map so the user can read the distribution quickly. In practical use, Volume Flow Analysis is useful for studying where participation concentrated, where directional pressure was strongest, where flow became unbalanced, and whether the profile currently resembles a balanced, short covering, long liquidation, or double distribution structure. 🔹 Features 🔸 Price Bucket Volume Mapping The script divides the active price range into user defined buckets and allocates volume into those levels according to actual price overlap. This creates a true horizontal flow map instead of a simple vertical volume display. 🔸 Buy Pressure and Sell Pressure Separation Each price bucket stores both estimated buy side volume and estimated sell side volume. These two components are then drawn side by side so the user can see which side dominated each price level. 🔸 Decay Weighted Historical Memory Older bars can gradually lose influence through the decay factor. This lets the profile emphasize fresher activity while still preserving historical structure. 🔸 Stealth Flow Layer The script includes an additional stealth flow style metric based on range relative to volume. This highlights zones where price moved efficiently with relatively less participation. 🔸 Point of Control and Value Area The indicator automatically finds the highest volume bucket as the Point of Control and expands from that level until seventy percent of total volume is captured to form the Value Area. 🔸 Imbalance Detection Price levels with one sided pressure above the selected imbalance ratio are highlighted as buy or sell imbalance zones. These can also be extended across the profile range. 🔸 Absorption Detection Buckets with unusually high total volume but unusually low stealth flow are marked as absorption. This can suggest heavy participation with reduced price efficiency. 🔸 Profile Shape Classification The script classifies the overall profile as D shape, B shape, P shape, or b shape using the distribution of volume across the upper, middle, and lower thirds of the profile. 🔸 Range Box and Historical Scope Label A dashed range box shows the active calculation window and displays the effective number of bars used in the current map. 🔸 Built In Legend and Summary Table A table in the lower right corner explains the map colors and also reports the current buy sell balance, profile shape, and whether imbalance or absorption layers are active. 🔹 Calculations 1) Determining the Effective Historical Window int nCalc = i_decay == 1.0 ? i_lookback : int(math.ceil(math.log(0.01) / math.log(i_decay))) int N = math.max(1, math.min(nCalc, i_lookback)) N := math.min(N, bar_index) This is the first major step of the script. If decay is set to 1.0, the script simply uses the full user selected lookback. If decay is below 1.0, the script solves for how many bars are needed until the decay weight falls to roughly one percent of its original value. That value becomes the effective calculation depth. Then the script clamps that depth so it never exceeds the lookback input and never exceeds available chart history. So the map can behave in two different ways: a full fixed history profile, or a dynamically shortened profile where older bars become practically irrelevant. 2) Finding the Active Price Range and Bucket Size float pH = high float pL = low for i = 0 to N - 1 pH := math.max(pH, high ) pL := math.min(pL, low ) float bSz = (pH - pL) / i_buckets This block establishes the vertical bounds of the map. The script scans the effective historical window and finds the highest price and lowest price inside it. Then it divides that full range by the selected number of price levels. The result is the bucket size, which determines the height of every price cell in the flow map. So the whole analysis space is always defined by the actual recent trading range rather than by arbitrary static levels. 3) Initializing Buy, Sell, and Stealth Arrays array bVol = array.new(i_buckets, 0.0) array sVol = array.new(i_buckets, 0.0) array stV = array.new(i_buckets, 0.0) These three arrays are the main storage layer of the profile. bVol stores buy pressure per bucket. sVol stores sell pressure per bucket. stV stores the stealth flow style metric per bucket. As each historical bar is processed, its weighted contribution is distributed into these arrays according to price overlap. So the script is building three parallel price maps at the same time. 4) Splitting Each Bar Into Buy and Sell Pressure float b_v = rng == 0 ? (v_i / 2) : (v_i * (c_i - l_i) / rng) float s_v = v_i - b_v This is the directional volume model. If a bar has zero range, volume is split evenly between buy side and sell side. Otherwise, the script estimates buy pressure from where the close sits inside the bar range. A close nearer the high gives more weight to buy pressure. A close nearer the low gives less weight to buy pressure. Sell pressure is simply the remainder. This is not exchange level aggressor data, but it is a practical price location based estimate of directional pressure inside each candle. So every bar contributes both a buy component and a sell component to the profile. 5) Defining the Stealth Flow Proxy float st_m = v_i == 0 ? rng : rng / v_i This line creates the stealth flow style measurement. The idea is simple. If price covers a relatively large range with relatively little volume, the ratio becomes larger. If price needs heavy volume to achieve the same range, the ratio becomes smaller. So this metric behaves like a movement efficiency proxy: higher values suggest cleaner movement per unit of volume, lower values suggest heavier participation per unit of movement. It is important to interpret this as a derived proxy rather than a direct exchange measured stealth order flow. 6) Applying Decay Weight to Historical Bars float d_m = math.pow(i_decay, i) Every historical bar receives a decay multiplier based on how far back it is. The most recent bar gets the largest weight. Older bars receive progressively smaller weights as long as decay is below one. This means the final profile is not just a raw accumulation of past activity. It is a weighted accumulation where recent flow can dominate older structure if the user wants a more adaptive map. 7) Distributing a Bar Across All Touched Buckets int minIdx = math.max(0, math.floor((l_i - pL) / bSz)) int maxIdx = math.min(i_buckets - 1, math.floor((h_i - pL) / bSz)) for j = minIdx to maxIdx float b_min = pL + j * bSz float b_max = b_min + bSz float ovr = math.max(0, math.min(h_i, b_max) - math.max(l_i, b_min)) if ovr > 0 float prop = ovr / rng bVol.set(j, bVol.get(j) + b_v * prop * d_m) sVol.set(j, sVol.get(j) + s_v * prop * d_m) stV.set(j, stV.get(j) + st_m * prop * d_m) This is one of the most important calculations in the whole script. For every bar, the script determines which price buckets were touched by that bar. It then measures how much of the bar overlapped each bucket. That overlap fraction is used to distribute buy pressure, sell pressure, and stealth flow into the correct levels. So if a bar spends more of its range inside a given bucket, more of its volume contribution goes into that bucket. This makes the map much more realistic than assigning the full bar volume to only one price level. 8) Handling Zero Range Bars else int idx = math.max(0, math.min(i_buckets - 1, math.floor((c_i - pL) / bSz))) bVol.set(idx, bVol.get(idx) + b_v * d_m) sVol.set(idx, sVol.get(idx) + s_v * d_m) stV.set(idx, stV.get(idx) + st_m * d_m) If a bar has no range, the script cannot distribute it by overlap. In that case, it assigns the full weighted contribution to the bucket containing the close. This ensures that flat or compressed bars still contribute to the profile without breaking the overlap logic. 9) Building Total Volume, Point of Control, and Summary Totals float tVolMax = 0.0 float stMax = 0.0 float stMin = 1e10 int poc = 0 float pocV = 0.0 float sumV = 0.0 array tVol = array.new(i_buckets, 0.0) for j = 0 to i_buckets - 1 float t = bVol.get(j) + sVol.get(j) float st = stV.get(j) tVol.set(j, t) sumV += t if t > tVolMax tVolMax := t if t > pocV pocV := t poc := j After all bars are processed, the script combines buy and sell pressure for each bucket into total volume. At the same time, it calculates: the total profile volume, the maximum bucket volume, the Point of Control bucket, and the minimum and maximum stealth values. The Point of Control is simply the bucket with the largest accumulated total volume. So this stage turns the raw arrays into a complete profile summary. 10) Calculating the Seventy Percent Value Area float trg = sumV * 0.70 float cur = pocV int vH = poc int vL = poc while cur < trg and (vH < i_buckets - 1 or vL > 0) float vUp = vH < i_buckets - 1 ? tVol.get(vH + 1) : -1.0 float vDn = vL > 0 ? tVol.get(vL - 1) : -1.0 if vUp >= vDn and vUp >= 0 vH += 1 cur += vUp else if vDn > vUp and vDn >= 0 vL -= 1 cur += vDn else break This is the Value Area expansion algorithm. The script starts at the Point of Control and keeps adding the next larger neighboring bucket, either above or below, until the accumulated total reaches seventy percent of overall profile volume. The upper and lower boundaries of that expansion become the Value Area High and Value Area Low. So the Value Area always forms around the Point of Control and grows toward whichever neighboring levels contain the most activity. 11) Classifying the Profile Shape float vTop = 0.0 float vMid = 0.0 float vBot = 0.0 int third = math.floor(i_buckets / 3) for j = 0 to i_buckets - 1 float v = tVol.get(j) if j < third vBot += v else if j < third * 2 vMid += v else vTop += v string shp = "D-Shape (Balanced)" if vTop > sumV * 0.20 and vBot > sumV * 0.20 and vMid < sumV * 0.50 shp := "B-Shape (Double Dist)" else if poc > i_buckets * 0.5 and vTop > vBot * 1.3 shp := "P-Shape (Short Covering)" else if poc < i_buckets * 0.5 and vBot > vTop * 1.3 shp := "b-Shape (Long Liquidation)" The script divides the profile into upper, middle, and lower thirds and compares how much volume sits in each section. If upper and lower thirds both carry meaningful volume while the middle is relatively weak, the script labels the profile as a B shape. If the Point of Control sits high and the upper section dominates, it labels the profile as a P shape. If the Point of Control sits low and the lower section dominates, it labels the profile as a b shape. Otherwise, the default label is D shape. So the shape classifier is reading where the distribution is concentrated and how balanced it looks across the full price range. 12) Computing the Average Stealth Level float avgSt = 0.0 int stCnt = 0 for j = 0 to i_buckets - 1 if stV.get(j) > 0 avgSt += stV.get(j) stCnt += 1 avgSt := stCnt > 0 ? avgSt / stCnt : 0.0 This block computes the average positive stealth value across all populated buckets. That average later becomes part of the absorption logic. Buckets with much lower than average stealth, combined with very high total volume, are flagged as absorption. So the script uses the stealth map not only for display width, but also for analysis. 13) Detecting Imbalances and Absorption bool imbB = i_showImb and s > 0 and b / s >= i_imbRatio bool imbS = i_showImb and b > 0 and s / b >= i_imbRatio bool absr = i_showAbs and t > avgV * 1.5 and st < avgSt * 0.5 These are the main analytical event conditions. A buy imbalance exists when buy pressure is at least the selected ratio times larger than sell pressure. A sell imbalance exists when sell pressure is at least the selected ratio times larger than buy pressure. Absorption is defined differently. It requires: total bucket volume above one and a half times the average bucket volume, and stealth flow below half the average stealth value. That means the bucket saw heavy participation but relatively poor movement efficiency, which can suggest absorbed flow. So imbalances mark one sided aggression, while absorption marks heavy activity with suppressed movement. 14) Scaling the Visual Width of Each Layer int wS = int((s / tVolMax) * i_width) int wB = int((b / tVolMax) * i_width) int wSt = int(((st - stMin) / math.max(1e-10, stMax - stMin)) * (i_width / 2)) The map is drawn horizontally, so the script converts each metric into width. Sell pressure width and buy pressure width are scaled relative to the largest total bucket volume. Stealth flow width is scaled separately relative to the stealth range and is limited to half the main map width. So every bucket gets a visual footprint that reflects its relative pressure and stealth intensity. 15) Drawing the Buy, Sell, and Stealth Blocks if wS > 0 _boxes.push(box.new(xStart, pHi, xStart + wS, pLo, bgcolor = cS, border_color = bc, border_width = bw)) if wB > 0 _boxes.push(box.new(xStart + wS, pHi, xStart + wS + wB, pLo, bgcolor = cB, border_color = bc, border_width = bw)) if i_showSt and wSt > 0 _boxes.push(box.new(xStart + wS + wB, pHi, xStart + wS + wB + wSt, pLo, bgcolor = c_stealth, border_color = bc, border_width = 1)) This is the actual map renderer. The sell block is drawn first. The buy block is drawn immediately after it. If stealth flow display is enabled, the stealth block is drawn after both pressure blocks. So each price level becomes a compact three part flow bar: sell pressure, buy pressure, and optional stealth flow. 16) Extending Imbalance and Absorption Zones Across the Range if i_showZones if imbB _boxes.push(box.new(bar_index - N + 1, pHi, bar_index + 1, pLo, bgcolor = color.new(c_buy, 90), border_color = na)) if imbS _boxes.push(box.new(bar_index - N + 1, pHi, bar_index + 1, pLo, bgcolor = color.new(c_sell, 90), border_color = na)) if absr _boxes.push(box.new(bar_index - N + 1, pHi, bar_index + 1, pLo, bgcolor = color.new(color.rgb(255, 0, 255), 85), border_color = na)) If zone extension is enabled, the script projects imbalance and absorption buckets horizontally across the entire historical calculation window. This makes key buckets easier to see in relation to actual price bars rather than only inside the right side profile map. So the indicator can show both a profile view and a chart level zone view at the same time. 17) Drawing the Range Box and Historical Scope Label if i_showRng _boxes.push(box.new(bar_index - N + 1, pH, bar_index + 1, pL, bgcolor = na, border_color = c_range, border_style = line.style_dashed)) _labels.push(label.new(bar_index - int(N / 2) + 1, pH, "N: " + str.tostring(N), textcolor = c_range, style = label.style_label_down, color = color.new(color.black, 100), size = size.small)) This block outlines the active analysis window on the chart. The dashed box marks the highest and lowest prices used by the profile, and the label shows the effective bar count N. So the user can always see exactly which portion of chart history is feeding the current flow map. 18) Drawing the Point of Control if i_showPOC float pPrice = pL + (poc + 0.5) * bSz int endX = i_extPOC ? bar_index + i_width : bar_index + 1 _lines.push(line.new(bar_index - N + 1, pPrice, endX, pPrice, color = c_poc, width = 2)) The Point of Control line is drawn at the midpoint of the highest volume bucket. If extension is enabled, the line continues forward through the map width. Otherwise it stops at the right edge of the historical window. So the Point of Control remains a clear reference level for the most active price area inside the map. 19) Drawing the Value Area if i_showVA float vaTop = pL + (vH + 1) * bSz float vaBot = pL + vL * bSz _boxes.push(box.new(bar_index + 1, vaTop, bar_index + 1 + i_width, vaBot, border_color = c_va, bgcolor = color.new(c_va, 90), border_style = line.style_dashed)) This draws the seventy percent Value Area as a translucent box on the right side of the profile. The top and bottom are derived from the expanded Value Area bucket boundaries, and the box spans the full map width. So the user can immediately see where most of the profile activity was concentrated around the Point of Control. 20) Buy Sell Dominance Summary float tB = bVol.sum() float tS = sVol.sum() float tV = tB + tS float pB = tV > 0 ? (tB / tV) * 100 : 0 float pS = tV > 0 ? (tS / tV) * 100 : 0 string dTxt = pB >= pS ? "Bullish " + str.tostring(pB, "#") + "%" : "Bearish " + str.tostring(pS, "#") + "%" This block calculates the total buy side share and total sell side share across the whole profile. Whichever side holds the greater percentage becomes the dominant flow label in the table. So the summary does not only show local bucket conditions. It also provides a broad view of which side controlled more of the weighted participation inside the entire mapped range.
Indicador Pine Script®
por UAlgo
Volume Defense Zones [MarkitTick]💡 The Volume Defense Zones is a professional-grade liquidity analysis engine designed to identify institutional interest by isolating ultra-high volume transactions and mapping them as dynamic support and resistance zones. Unlike standard volume indicators that merely plot vertical bars, this script utilizes a sophisticated heatmap engine and a multi-timeframe (MTF) overlay to provide a three-dimensional view of market participation. By calculating the Volume Weighted Average Price (VWAP) specifically for high-intensity bars, the indicator creates "Defense Zones"—price levels where large-scale players have historically committed significant capital. ● ✨ Originality and Utility This indicator distinguishes itself from the vast library of open-source tools through its unique "Search Depth" logic and automated zone merging capabilities. While many scripts identify volume spikes, they often clutter the chart with overlapping lines that lose relevance over time. This system solves that problem by: • Dynamic Zone Consolidation The script includes a proprietary merge threshold algorithm. If two high-volume defense levels are within a user-defined percentage of each other, the script automatically merges them into a single "Defense Box." This reflects the reality of market "zones" rather than surgical price points. • Multi-Timeframe Institutional Benchmarking By integrating a built-in MTF overlay, traders can visualize 4-hour or Daily volume defense zones while trading on a 5-minute chart. This ensures that the user is always aware of the "Big Picture" liquidity levels that are likely to hold during intraday volatility. • Historical Ghosting and Breakout Analysis The script tracks whether a zone is "active" or "broken." When price breaches a defense level, the zone doesn't simply disappear; it transforms into a "Ghost Zone" (dotted line), allowing traders to analyze S/R flips and historical retests of previously defended levels. ● 🔬 Methodology and Concepts The core logic of the Volume Defense Zones is rooted in the identification of "Abnormal Volume" relative to a historical lookback period. • Peak Volume Identification The script maintains a rolling window of volume data defined by the "Comparison Length" input. A bar is classified as "Ultra High Volume" only if its volume exceeds the maximum volume recorded in that lookback window. This ensures that the signals adapt to changing market regimes (e.g., high-volatility sessions vs. low-volume holidays). • The Defense Calculation For every identified volume peak, the script calculates a localized VWAP using the internal formula: Accumulated (Volume * Bar Body Center) / Total Volume. This price level represents the "Average Cost Basis" of the participants during that specific high-intensity event. If the price remains above this VWAP, the level is treated as a Bullish Defense (Support). If price stays below it, it is a Bearish Defense (Resistance). • Multi-Timeframe (MTF) Security Using the request.security function with barmerge.lookahead_on (and appropriate offsets to prevent repainting), the script fetches high-volume levels from higher timeframes. This provides a top-down liquidity map that identifies where large institutions are "defending" their positions. ● 🎨 Visual Guide The visual output is divided into three primary categories to ensure maximum clarity and actionable data visualization: • The Volume Heatmap (Bottom Pane) Instead of standard green and red bars, this script uses a professional 5-color heatmap gradient: - Deep Blue (HM_C0): Low interest / baseline volume. - Teal/Cyan (HM_C1/HM_C2): Rising interest. - Gold (HM_C3): High participation. - Bright Red (HM_C4): Ultra-High Volume. These bars are framed with thicker borders when a new peak is detected, making the "Ultra Vol" events immediately visible. • Defense Zones and Labels - Green Boxes (ZONE_BULL_COL): Represent active bullish defense zones where buyers are currently in control of the high-volume level. - Red Boxes (ZONE_BEAR_COL): Represent active bearish defense zones where sellers are successfully defending the level. - Blue/Neutral Boxes (ZONE_INSIDE_COL): Represent zones where the price is currently trading inside the defense range, indicating a period of consolidation or "battle." - Dotted Lines/Boxes: These are "Broken" or "Ghost" zones. They indicate levels that were previously significant but have been breached. • Trend Climax Indicators The script plots specific triangles on the volume bars: - Green Up Triangle (▲): Bullish Climax. Occurs when price is trending down but a high-volume reversal is detected above the VWAP. - Red Down Triangle (▼): Bearish Climax. Occurs when price is trending up but a high-volume rejection is detected below the VWAP. • Professional Dashboard A clean table in the top-right corner displays real-time statistics, including Total Volume, Max Volume, Average Volume, and the total count of analyzed bars. ● 📖 How to Use Identifying Institutional Support: Look for thick green boxes formed during "Ultra High Vol" events. These are areas where price is likely to bounce upon a retest. Trading the Breakout: When a red resistance zone is breached and turns into a dotted "Ghost" zone, wait for a retest of that level. If price holds above it, the old resistance has become new support. Filtering with MTF: Only take long trades when the price is above the Purple MTF lines, which represent the higher-timeframe institutional defense levels. Exhaustion Signals: Use the Climax Triangles (▲/▼) to identify potential trend reversals. A red triangle at the end of a long uptrend often signals that "smart money" is distributing their positions. ● ⚙️ Inputs and Settings • Volume Settings - Time Resolution: Allows you to change the granularity of the volume analysis. - Comparison Length: Defines the lookback period (default 20) for determining what constitutes a "Peak" volume bar. • Visual & Analysis - Search Depth (Levels): Controls how many historical S/R zones are displayed on the chart. Increasing this provides more historical context but may clutter the view. - Merge Threshold (%): A critical setting that defines how close two price levels must be to be grouped into a single zone. - Show All Data Labels: Toggles the display of exact volume figures above the bars. • Multi-Timeframe Overlay - HTF Timeframe: Set the higher timeframe (e.g., 240 for 4-hour) to see macro defense zones. - Max HTF Zones: Limits the number of MTF lines drawn to keep the chart clean. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator is constructed upon the principles of **Auction Market Theory (AMT)** and **Volume Spread Analysis (VSA)**. • Auction Market Theory The fundamental premise is that the market is an ongoing auction where the purpose of price is to find the area where the most volume can be transacted. The "Defense Zones" calculated by this script represent "High Volume Nodes" (HVN). Scientifically, these are levels of high price acceptance. When price moves away from these zones and returns, the script tests whether the "Value" has shifted or if the previous participants are still willing to transact at that level. • Statistical Outlier Theory The "Ultra High Volume" detection utilizes a non-parametric approach to identify outliers. By comparing the current volume to the rolling maximum of the previous $N$ periods, the script effectively identifies events that fall outside the standard distribution of market activity. This is mathematically equivalent to identifying "Z-score" spikes in volume, signifying a significant shift in market sentiment or the injection of institutional liquidity. • Volume Weighted Cost Basis (VWCB) The use of VWAP within the defense zones is based on the academic concept of the "Volume Weighted Cost Basis." In institutional finance, the execution quality of a large trade is measured against the VWAP. Therefore, these levels act as psychological and financial "anchors" for large participants who need to protect their average entry price to maintain a profitable position. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
Effort & Result [UAlgo]Effort & Result is a volume spread relationship oscillator inspired by the classic idea that market effort and market result do not always move in balance. The script compares how unusual current volume is versus how unusual current price range is, then measures the gap between those two conditions. The result is a compact oscillator that helps reveal whether the market is showing heavy participation with limited progress, or strong price expansion with relatively weak participation. The core concept is simple. Volume represents effort, while true range represents result. When effort rises much faster than result, the market may be meeting opposing liquidity and progress can become inefficient. When result rises much faster than effort, price may be moving through thinner liquidity with relatively little resistance. This script transforms that relationship into standardized values so both dimensions can be compared on the same scale. To make the comparison more useful, the script converts both volume and true range into rolling z scores. That means each bar is judged relative to its own recent context rather than by raw magnitude alone. A large volume bar may not mean much in a market that always trades large volume, while the same raw value could be highly unusual in another market. The same logic applies to price range. By standardizing both series, the indicator focuses on anomaly versus normal behavior rather than on absolute size. The final oscillator is the difference between effort z score and result z score. Positive readings suggest effort is leading result, while negative readings suggest result is leading effort. The script also highlights two special regimes. Absorption appears when effort is strongly positive but result remains weak. Vacuum appears when result is strongly positive but effort remains weak. These conditions are then labeled directly on the oscillator. In practical use, the indicator can help identify hidden resistance to price movement, low liquidity expansion, or moments where market participation and delivered movement are out of balance. It is best used as a context tool rather than a standalone entry engine. 🔹 Features 🔸 Effort Versus Result Framework The script separates market behavior into two dimensions. Volume is treated as effort, and true range is treated as result. This creates a clean and intuitive model for comparing participation versus delivered movement. 🔸 Rolling Z Score Standardization Both effort and result are transformed into rolling z scores over the selected lookback window. This makes the oscillator adaptive to the recent environment and allows direct comparison between volume and range. 🔸 Delta Oscillator The final plotted value is the difference between effort z score and result z score. This gives the user a direct read on whether volume is leading range or range is leading volume. 🔸 Absorption Detection When effort is strongly positive but result is weak or negative, the script flags absorption. This can indicate that strong participation is being met by opposing liquidity and price progress is being contained. 🔸 Vacuum Detection When result is strongly positive but effort is weak or negative, the script flags a vacuum condition. This can indicate that price is moving through thin liquidity with little resistance. 🔸 Context Aware Histogram Coloring The histogram changes color depending on whether the bar reflects absorption, vacuum, or neutral conditions. This makes regime identification faster and more visual. 🔸 Threshold Guides The oscillator includes reference lines for equilibrium as well as absorption and vacuum alert thresholds, making it easier to interpret extremes. 🔸 Direct Chart Labels Special conditions are labeled directly on the oscillator so absorption and vacuum events stand out immediately without requiring separate scanning. 🔹 Calculations 1) Defining the Flow Metrics Container type FlowMetrics float totalVol float spread float effortZ float resultZ This object stores the four main values used by the indicator. totalVol stores the current bar volume. spread stores the current bar range measure. effortZ stores the standardized effort reading. resultZ stores the standardized result reading. So before any signal logic is built, the script already has a clean structure for the raw inputs and their normalized forms. 2) Measuring Effort and Result Inputs float v = nz(volume, 1) float tr = ta.tr(true) This block defines the two core raw inputs of the indicator. v is the current volume, with a fallback of 1 in case the symbol does not provide volume data. tr is the true range of the bar, which is used as the result measure. The reason true range is used instead of a simpler high minus low calculation is that true range also accounts for gaps relative to the prior close. This makes it a more complete measure of actual delivered price movement. So the indicator begins with one participation variable and one movement variable. 3) Rolling Mean and Standard Deviation for Effort float volMean = ta.sma(vol, len) float volStd = ta.stdev(vol, len) this.effortZ := volStd == 0 ? 0 : (vol - volMean) / volStd This is the effort standardization step. The script first computes the rolling average volume over the chosen window. Then it computes the rolling volume standard deviation over the same window. Finally, it converts the current volume into a z score: effortZ = (current volume minus mean volume) divided by volume standard deviation This means: a positive effort z score implies current volume is above normal, a negative effort z score implies current volume is below normal, and zero means current volume is near its rolling average. So effort is not judged by raw volume alone. It is judged by how unusual that volume is relative to recent history. 4) Safe Spread Handling for Result Calculation float safeSpread = r == 0 ? syminfo.mintick : r This line prevents division and standardization issues when the range is zero. If the current true range is zero, the script substitutes the instrument’s minimum tick size instead. This ensures that the result side of the calculation always has a valid positive value and avoids unstable behavior in rare flat bars. So the script remains numerically stable even when a bar has no measurable range. 5) Rolling Mean and Standard Deviation for Result float spreadMean = ta.sma(safeSpread, len) float spreadStd = ta.stdev(safeSpread, len) this.resultZ := spreadStd == 0 ? 0 : (safeSpread - spreadMean) / spreadStd This is the result standardization step. Just like effort, the script calculates the rolling average and rolling standard deviation for the bar spread. It then converts the current spread into a z score: resultZ = (current spread minus mean spread) divided by spread standard deviation This means: a positive result z score implies current movement is above normal, a negative result z score implies current movement is below normal. So result becomes directly comparable to effort on the same statistical scale. 6) Full Metric Calculation Method method calcMetrics(FlowMetrics this, float vol, float r, int len) => this.totalVol := vol this.spread := r float volMean = ta.sma(vol, len) float volStd = ta.stdev(vol, len) this.effortZ := volStd == 0 ? 0 : (vol - volMean) / volStd float safeSpread = r == 0 ? syminfo.mintick : r float spreadMean = ta.sma(safeSpread, len) float spreadStd = ta.stdev(safeSpread, len) this.resultZ := spreadStd == 0 ? 0 : (safeSpread - spreadMean) / spreadStd This method combines the full effort and result workflow into one place. It first stores the raw bar volume and raw spread. Then it calculates the effort z score from rolling volume statistics and the result z score from rolling spread statistics. So each bar receives: a raw effort reading, a raw result reading, a normalized effort score, and a normalized result score. This normalized pair is what the rest of the oscillator uses. 7) Building the Main Oscillator Value FlowMetrics flow = FlowMetrics.new() flow.calcMetrics(v, tr, length) float deltaZ = flow.effortZ - flow.resultZ This is the main oscillator formula. After the metrics object is updated, the script computes: deltaZ = effortZ minus resultZ This value answers the central question of the indicator: is effort stronger than result, or is result stronger than effort? If deltaZ is positive, effort is outrunning result. If deltaZ is negative, result is outrunning effort. If deltaZ is near zero, effort and result are more balanced. So the oscillator is really a normalized imbalance measure between participation and delivered movement. 8) Absorption Condition bool isAbsorption = flow.effortZ > 1.5 and flow.resultZ < 0.0 This is the first special regime filter. Absorption is defined as: effort significantly above normal, while result remains weak. The threshold 1.5 means effort must be at least 1.5 standard deviations above its rolling average. At the same time, result must still be below zero, meaning current movement is not even above its recent average. This combination suggests that strong participation is entering the market but price is not expanding proportionally. That can imply opposing liquidity, passive absorption, or resistance to movement. So absorption is the classic high effort, low result condition. 9) Vacuum Condition bool isVacuum = flow.resultZ > 1.5 and flow.effortZ < 0.0 This is the second special regime filter. Vacuum is defined as: result significantly above normal, while effort remains weak. Here, price is delivering unusually large movement, but volume is not confirming that move with above average participation. This can imply thin liquidity, poor resistance, or fast movement through lightly traded space. So vacuum is the classic low effort, high result condition. 10) Histogram Color Logic color histColor = isAbsorption ? color.new(color.fuchsia, 30) : isVacuum ? (close >= open ? color.new(color.aqua, 30) : color.new(color.orange, 30)) : color.new(color.gray, 70) This block determines how the histogram is colored. If the current bar meets the absorption condition, the histogram is colored fuchsia. If it meets the vacuum condition, the histogram is colored aqua when the candle is bullish and orange when the candle is bearish. If neither special regime is active, the histogram is colored neutral gray. So the visual layer helps the user distinguish ordinary imbalance readings from the two emphasized special states. 11) Plotting the Oscillator plot(deltaZ, "Effort/Result Delta", style=plot.style_columns, color=histColor) This line plots the main effort versus result delta as a column histogram. The use of columns is helpful because it emphasizes relative magnitude and direction around the zero line. Positive columns show effort leading result. Negative columns show result leading effort. So the visual output is both directional and strength sensitive. 12) Threshold and Equilibrium Lines hline(1.5, "Vacuum Alert", color=color.new(color.aqua, 50), linestyle=hline.style_dashed) hline(-1.5, "Absorption Alert", color=color.new(color.fuchsia, 50), linestyle=hline.style_dashed) hline(0, "Equilibrium", color=color.new(color.gray, 50)) These reference lines give the oscillator context. The zero line marks equilibrium, where effort and result are more balanced. The positive 1.5 line acts as a visual vacuum threshold. The negative 1.5 line acts as a visual absorption threshold. These levels do not define the regime conditions directly by themselves, because the actual logic checks the separate effort and result z scores. But they still give the user a useful visual frame for interpreting the size of the delta reading. 13) Labeling Absorption Events if isAbsorption label.new(bar_index, deltaZ, text="Absorbed", color=color.new(color.fuchsia, 100), textcolor=color.fuchsia, style=label.style_none, size=size.small, yloc=yloc.price) When an absorption condition is detected, the script prints an Absorbed label directly at the oscillator value for that bar. This makes the event easier to spot when scanning history and also helps separate truly qualified absorption conditions from merely positive delta readings. So the label is not attached to every strong positive bar, only to the bars that meet the specific high effort and weak result rule. 14) Labeling Vacuum Events if isVacuum label.new(bar_index, deltaZ, text="Vacuum", color=color.new(color.aqua, 100), textcolor=color.aqua, style=label.style_none, size=size.small, yloc=yloc.price) This block does the same for vacuum events. When a bar shows unusually strong range with weak volume participation, the script prints a Vacuum label at the oscillator level. So the chart distinguishes not only statistical imbalance in general, but specifically the regime where result is outrunning effort.
Indicador Pine Script®
por UAlgo