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VRVP Clone + Multi-POC -- PerroGordoVRVP Clone + Multi-POC Overview VRVP Clone + Multi-POC replicates TradingView's native Visible Range Volume Profile with several practical enhancements. The indicator displays volume distribution across price levels for the visible chart range, which is useful for identifying high-volume nodes, support/resistance zones, and areas of price acceptance. The main differentiator from the built-in VRVP is support for multiple Point of Control (POC) lines with an intelligent peak detection algorithm. Instead of just showing the single highest-volume level, you can identify distinct volume clusters across different price zones. Features Dynamic Visible Range Recalculates automatically on scroll or zoom Analyzes only visible bars Profile width scales proportionally to view Multiple POC Detection (1-8 levels) Volume Nodes Mode: Peak detection algorithm finds local volume maxima across distinct price clusters Highest Rows Mode: Traditional approach - top N rows by raw volume Configurable minimum separation between nodes to prevent bunching Individual colors for each POC level Volume Display Modes Up/Down: Split bars showing buy vs. sell volume with black outlines for visual separation Total: Single bar colored by dominant direction Delta: Net volume (buy minus sell) Delta Intensity: Gradient coloring indicating buyer/seller dominance strength per row Value Area Configurable percentage (default 70%) VAH and VAL lines with customizable styles Separate colors for volume inside vs. outside the Value Area Positioning Options Left or Right placement Adjustable profile width as percentage of visible range Row configuration via "Number of Rows" or "Ticks Per Row" Additional Features Statistics table showing bars analyzed, total volume, up/down percentages, price vs POC POC price labels on chart Line style options (Solid, Dashed, Dotted) +++++ How It Works Volume from each bar is distributed across price rows based on the bar's high-low range. The allocation is proportional - if a bar spans 3 rows with 60% overlap on one row, that row receives 60% of the bar's volume. Volume Nodes Mode identifies local peaks in the distribution (rows where volume exceeds both neighbors), then selects the highest peaks while enforcing minimum separation. This surfaces distinct support/resistance clusters rather than stacking all POC lines in a single high-volume area. +++++ Settings Inputs Setting - Description Rows Layout - "Number of Rows" or "Ticks Per Row" Row Size - Number of rows (24-200) or ticks per row Volume - "Up/Down", "Total", "Delta", or source selection Value Area % - Percentage of volume for Value Area (default 70%) Profile Width % - Width as percentage of visible bars Placement - "Right" or "Left" side of chart Enhancements Setting - Description Number of POCs | 1-8 POC lines | POC Mode - "Volume Nodes" (peak detection) or "Highest Rows" (traditional) Min Node Separation - Minimum rows between nodes (0 = auto-calculate) Delta Intensity Mode - Gradient coloring by dominance Show Stats Table - Display analysis statistics Style Setting - Description Up/Down Volume Colors - Buy/sell volume colors Value Area Colors - Colors for VA regions POC/VAH/VAL Colors - Line colors and styles POC 2-8 Colors - Colors for additional POC levels +++++ Applications Support/Resistance Identification High-volume nodes tend to act as price magnets. Multiple POCs reveal layered S/R zones that aren't visible with a single POC. Fair Value Reference The Value Area represents where 70% of volume traded. Price tends to revert to this zone. Volume Gap Analysis Low-volume areas between POCs indicate prices that were rejected quickly - potential breakout or breakdown levels. Market Structure Multiple POCs across price levels show where the market has found acceptance, useful for distinguishing range-bound conditions from trending moves. +++++ Practical Notes Volume Nodes mode with 3-5 POCs works well for identifying distinct S/R clusters Higher row counts give more granular analysis on lower timeframes Delta Intensity mode quickly shows buyer/seller dominance at each level without the visual noise of split bars If POCs are too clustered, increase Min Node Separation; if too spread out, decrease it or set to 0 for auto The stats table vs POC comparison is useful for quick directional bias assessment +++++ Requirements Any instrument with volume data Works well on futures, forex, and liquid equities Pine Script v6 +++++ Version History v1.1 - Added Volume Nodes mode with peak detection - Expanded to 8 POC levels - Added Min Node Separation setting - Fixed POC label positioning for left placement - Added black outlines to Up/Down volume bars v1.0 - Initial release replicating VRVP with multi-POC enhancement - Delta Intensity mode - Statistics table
Indicador Pine Script®
por PerroGordo
2
Order Blocks + Order-Flow ProxiesOrder Blocks + Order-Flow Proxies This indicator combines structural analysis of order blocks with lightweight order-flow style proxies, providing a tool for chart annotation and contextual study. It is designed to help users visualize where significant structural shifts occur and how simple volume-based signals behave around those areas. The script does not guarantee profitable outcomes, nor does it issue financial advice. It is intended purely for research, learning, and discretionary use. Conceptual Background Order Blocks An “order block” is a term often used to describe a zone on the chart where price left behind a significant reversal or imbalance before continuing strongly in the opposite direction. In practice, this can mean the last bullish or bearish candle before a strong breakout. Traders sometimes study these regions because they believe that unfilled resting orders may exist there, or simply because they mark important pivots in price structure. This indicator detects such moments by scanning for breaks of structure (BOS). When price pushes above or below recent swing levels with sufficient displacement, the script identifies the prior opposite candle as the potential order block. Break of Structure A break of structure in this context is defined when the closing price moves beyond the highest high or lowest low of a short lookback window. The script compares the magnitude of this break to an ATR-based displacement filter. This helps ensure that only meaningful moves are marked rather than small, random fluctuations. Order-Flow Proxies Traditional order flow analysis may use bid/ask data, footprint charts, or volume profiles. Because TradingView scripts cannot access true order-book data, this indicator instead uses proxy signals derived from standard chart data: Delta (proxy): Estimated imbalance of buying vs. selling pressure, approximated using bar direction and volume. Imbalance ratio: Normalizes delta by total volume, ranging between -1 and +1 in theory. Cumulative Delta (CVD): Running sum of delta over time. Effort vs. Result (EvR): A comparison between volume and actual bar movement, highlighting cases where large effort produced little result (or vice versa). These are not real order-flow measurements, but rather simple mathematical constructs that mimic some of its logic. How the Script Works Detecting Break of Structure The user specifies a swing length. When price closes above the recent high (for bullish BOS) or below the recent low (for bearish BOS), a potential shift is recorded. To qualify, the breakout must exceed a displacement filter proportional to the ATR. This helps filter out weak moves. Locating the Order Block Candle Once a BOS is confirmed, the script looks back within a short window to find the last opposite-colored candle. The high/low or open/close of that candle (depending on user settings) is marked as the potential order block zone. Drawing and Maintaining Zones Each order block is represented as a colored rectangle extending forward in time. Bullish zones are teal by default, bearish zones are red. Zones extend until invalidated (price closing or wicking beyond them, depending on user preference) or until a user-defined lifespan expires. A pruning mechanism ensures that only the most recent set number of zones remain, preventing chart overload. Monitoring Touches The script checks whether the current bar’s range overlaps any existing order block. If so, the “closest” zone is considered touched, and a label may appear on the chart. Confirmation Filters Touches can optionally be confirmed by order-flow proxies. For a bullish confirmation, the following must align: Imbalance ratio above threshold, Delta EMA positive, Effort vs. Result positive. For a bearish confirmation, the opposite holds true. Optionally, a higher-timeframe EMA slope filter can gate these confirmations. For example, a bullish confirmation may only be accepted if the higher-timeframe EMA is sloping upward. Alerts Users may create alerts based on conditions such as “bullish touch confirmed” or “bearish touch confirmed.” Alerts can be gated to only fire after bar close, reducing intrabar noise. Standard alertcondition calls are provided, and optional inline alert() calls can be enabled. Inputs and Customization Structure & OB Swing length: Defines how many bars back to check for BOS. ATR length & displacement factor: Adjust sensitivity for structural breaks. Body vs. wick reference: Choose whether zones are based on candle bodies or full ranges. Invalidation rule: Pick between wick breach or close beyond the level. Lifespan (bars): Limit how long a zone remains active. Max keep: Cap the number of zones stored to reduce clutter. Order-Flow Proxies Delta mode: Choose between “Close vs Previous Close” or “Body” for delta calculation. EMA length: Smooths the delta/imbalance series. Z-score lookback: Defines the averaging window for EvR. Confirmation thresholds: Adjust the imbalance levels required for long/short confirmation. Higher Timeframe Filter Enable HTF gate: Optional filter requiring higher-timeframe EMA slope alignment. HTF timeframe & EMA length: Configurable for context alignment. Style Colors and transparency for bullish and bearish zones. Border color customization. Alerts Enable inline alerts: Optional direct calls to alert(). Alerts on bar close only: Helps avoid multiple firings during bar formation. Practical Use This tool is best seen as a way to annotate charts and to study how simple volume-derived signals behave near important structural levels. Some users may: Observe whether order blocks line up with later price reactions. Study how imbalance or cumulative delta conditions align with these zones. Use it in a discretionary workflow to highlight areas of interest for deeper analysis. Because the proxies are based only on candle OHLCV data, they are approximations. They cannot replace true depth-of-market analysis. Similarly, order block detection here is one specific algorithmic interpretation; other traders may define order blocks differently. Limitations and Disclaimers This indicator does not predict future price movement. It does not access real order book or tick-by-tick data. All signals are derived from bar OHLCV. Past performance of signals or zones does not guarantee future results. The script is for educational and informational purposes only. It is not financial advice. Users should test thoroughly, adjust parameters to their own instruments and timeframes, and use it in combination with broader analysis. Summary The Order Blocks + Order-Flow Proxies script is an experimental study tool that: Detects potential order blocks using a displacement-filtered break of structure. Marks these zones as boxes that persist until invalidation or expiry. Provides lightweight order-flow-style proxies such as delta, imbalance, CVD, and effort vs. result. Allows confirmation of zone touches through these proxies and optional higher-timeframe context. Offers flexible customization, alerting, and chart-style options. It is not a trading system by itself but rather a framework for studying price/volume behavior around structurally significant areas. With careful exploration, it can give users new ways to visualize market structure and to understand how simple flow-like measures behave in those contexts.
Indicador Pine Script®
por Tradenometry
Value Matrix – Previous Day VAValue Matrix – Previous Day Volume Profile Indicator Description: The Value Matrix – Previous Day VA indicator plots the previous trading session’s Volume Profile key levels directly on your chart, providing clear reference points for intraday trading. This indicator calculates the Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) from the prior session and projects them across the current trading day, helping traders identify potential support, resistance, and high-volume zones. Features: Calculates previous day VAH, VAL, and POC based on a user-defined session (default 09:30–16:00). Uses Volume Profile bins for precise distribution calculation. Fully customizable line colors for VAH, VAL, and POC. Lines extend across the current session for easy intraday reference. Works on any timeframe, optimized for 1-minute charts for precision. Optional toggles to show/hide VAH, VAL, and POC individually. Inputs: Session Time: Define the trading session for which the volume profile is calculated. Profile Bins: Number of price intervals used to divide the session range. Value Area %: Percentage of volume to include in the value area (default 70%). Show POC / VAH & VAL: Toggle visibility of each level. Line Colors: Customize VAH, VAL, and POC colors. Use Cases: Identify previous session support and resistance levels for intraday trading. Gauge areas of high liquidity and potential market reaction zones. Combine with other indicators or price action strategies for improved entries and exits. Recommended Timeframe: Works on all timeframes; best used on 1-minute or 5-minute charts for precise intraday analysis.
Indicador Pine Script®
por piman2077
1
Liquidity Spectrum Visualizer [BigBeluga]🔵 OVERVIEW The Liquidity Spectrum Visualizer is a smart tool for exposing hidden liquidity zones by combining a dynamic volume profile, clear liquidity levels, and intuitive volume bubbles directly on your price chart. It shows you exactly where significant volume is clustering inside your chosen lookback period — highlighting where big market participants may be defending price or planning breakouts. 🔵 CONCEPTS Volume Profile Bins: Breaks your custom lookback range into 100 fine price bins, calculating total volume per bin to create a precise vertical liquidity histogram. Liquidity Levels: Bins with high relative volume automatically plot as horizontal lines — thicker and brighter lines signal stronger liquidity concentrations. Dynamic Coloring: Profile bins and liquidity levels adjust their colors live based on whether current price is trading above (support) or below (resistance). Volume Bubbles: Each candle displays a bubble at its HLC3 price — - The bubble’s size shows relative candle volume. - Its color gradient indicates bullish or bearish volume: greenish for bullish candles, orange for bearish. Bubble Labels: The largest bubbles automatically label the actual volume amount, revealing big hidden flows. Range Box High/Low: Marks the absolute swing high and low inside the lookback window, clearly framing the active liquidity zone. 🔵 FEATURES Smart, auto-scaled volume profile up to 200 candles (or custom). Liquidity levels with dynamic thickness and color based on real-time volume. Bubbles sized and colored to show both volume magnitude and bullish/bearish bias. Largest bubbles labeled for fast detection of high-impact bars. High and low price labels clearly show the analyzed range. Toggle Volume Profile, Liquidity Levels, and Bubbles independently. 🔵 HOW TO USE Watch for thick, bright liquidity levels — these zones mark where large orders or stop clusters are likely hidden. Use dynamic coloring: if price is above a level, it’s support; if below, it’s resistance. Pay special attention to big bubbles: these mark sudden spikes in traded volume and can signal absorption, traps, breakouts or significant price levels. Combine with your existing confluence tools to confirm breakouts or fakeouts around visible liquidity clusters. 🔵 CONCLUSION The Liquidity Spectrum Visualizer transforms hidden order flow into an intuitive, color-coded map. You see at a glance where price is absorbing, consolidating, or ready to break — all powered by real-time volume behavior and smart visuals. It’s a must-have tool for traders who want to read liquidity and react ahead of the crowd.
Indicador Pine Script®
por BigBeluga
25
Volume Weighted Regression ChannelThis indicator constructs a volume-weighted linear regression channel over a custom time range. It’s conceptually similar to a Volume Profile, but instead of projecting horizontal value zones, it builds a tilted trend channel that reflects both price direction and volume concentration. 🧠 Core Features: Volume-weighted points: Each candle contributes to the regression line proportionally to its volume — heavier candles shift the channel toward high-activity price zones. Linear regression line: Shows the trend direction within the selected time interval. ±σ boundaries: Outer bands represent the standard deviation of price (also volume-weighted), highlighting statistical dispersion. Fully customizable: Adjustable line styles, widths, and channel width (sigma multiplier). Time window control: Select any start and end time to define the regression interval. 📊 Why use this instead of Volume Profile? While Volume Profile shows horizontal distributions of traded volume, this indicator is ideal when: You want to understand how volume clusters affect trend direction, not just price levels. You're analyzing time-dependent flow rather than static price zones. You're looking for a dynamic volume-adjusted channel that moves with the market's structure. It’s especially useful in identifying volume-supported trends, hidden pullback zones, and statistical extremes. ⚙️ Notes: Works on any timeframe and instrument. Does not repaint. Does not require volume profile data feeds — uses standard volume and hl2.
Indicador Pine Script®
por Evgenyc111
Order Block Matrix [Alpha Extract]The Order Block Matrix indicator identifies and visualizes key supply and demand zones on your chart, helping traders recognize potential reversal points and high-probability trading setups. This tool helps traders: Visualize key order blocks with volume profile histograms showing liquidity distribution. Identify high-volume price levels where institutional activity occurs. rank historical order blocks and analyze their strength based on volume. Receive alerts for potential trading opportunities based on price-block interactions. 🔶 CALCULATION The indicator processes chart data to identify and analyze order blocks: Order Block Detection Inputs: Price action patterns (consolidation areas followed by breakouts). Volume data from current and lower timeframes. User-defined lookback periods and thresholds. Detection Logic: Identifies consolidation areas using a dynamic range comparison. Confirms breakout patterns with percentage threshold validation. Maps volume distribution across price levels within each order block. 🔶Volume Analysis Volume Profiling: Divides each order block into configurable grid segments. Maps volume distribution across price segments within blocks. Highlights zones with highest volume concentration. Strength Assessment: Calculates total block volume and relative strength metrics. Compares block volume to historical averages. Determines probability of reversal based on volume patterns. isConsolidation(len) => high_range = ta.highest(high, len) - ta.lowest(high, len) low_range = ta.highest(low, len) - ta.lowest(low, len) avg_range = (high_range + low_range) / 2 current_range = high - low current_range <= avg_range * (1 + obThreshold) 🔶 DETAILS Visual Features Volume Profile Histograms: Color-coded bars showing volume concentration within order blocks. Gradient coloring based on relative volume (high volume = brighter colors). Bull blocks (green/teal) and bear blocks (red) with varying opacity. Block Visualization: Dynamic box sizing based on volume concentration. Optional block borders and background fills. Volume labels showing total block volume. Screener Table: Real-time analysis of order block metrics. Shows block direction, proximity, retest count, and volume metrics. Color-coded for quick reference. Interpretation High Volume Areas: Zones with institutional interest and potential reversal points. Block Direction: Bullish blocks typically support price, bearish blocks typically resist price. Retests: Multiple tests of an order block may strengthen or weaken its influence. Block Age: Newer blocks often have stronger influence than older ones. Volume Concentration: Brightest segments within blocks represent the highest volume areas. 🔶 EXAMPLES The indicator helps identify key trading opportunities: Bullish Order Blocks Support Zones: Identify strong support levels where price is likely to bounce. Breakout Confirmation: Validate breakouts with volume analysis to avoid false moves. Retest Strategies: Enter trades when price retests a bullish order block with high volume. Bearish Order Blocks Resistance Zones: Identify strong resistance levels where price is likely to reverse. Distribution Areas: Detect zones where smart money is distributing to retail. Short Opportunities: Find optimal short entry points at high-volume bearish blocks. Combined Strategies Order Block Stacking: Multiple aligned blocks create stronger support/resistance zones. Block Mitigation: When price breaks through a block, it often indicates a strong trend continuation. Volume Profile Applications: Higher volume segments provide more precise entry and exit points. 🔶 SETTINGS Customization Options Order Block Detection: Consolidation Lookback: Adjust the period for consolidation detection. Breakout Threshold: Set minimum percentage for breakout confirmation. Historical Lookback Limit: Control how far back to scan for historical order blocks. Maximum Order Blocks: Limit the number of visible blocks on the chart. Visual Style: Grid Segments: Adjust the number of volume profile segments. Extend Blocks to Right: Enable/disable extending blocks to current price. Show Block Borders: Toggle border visibility. Border Width: Adjust thickness of block borders. Show Volume Text: Enable/disable volume labels. Volume Text Position: Control placement of volume labels. Color Settings: Bullish High/Low Volume Colors: Customize appearance of bullish blocks. Bearish High/Low Volume Colors: Customize appearance of bearish blocks. Border Color: Set color for block outlines. Background Fill: Adjust color and transparency of block backgrounds. Volume Text Color: Customize label appearance. Screener Table: Show Screener Table: Toggle table visibility. Table Position: Select positioning on the chart. Table Size: Adjust display size. The Order Block Matrix indicator provides traders with powerful insights into market structure, helping to identify key levels where smart money is active and where high-probability trading opportunities may exist.
Indicador Pine Script®
por AlphaExtract
7
Smart Range DetectorSmart Range Detector What It Does This indicator automatically detects and validates significant trading ranges using pivot point analysis combined with logarithmic fibonacci relationships. It operates by identifying specific pivot patterns (High-Low-High and Low-High-Low) that meet fibonacci validation criteria to filter out noise and highlight only the most reliable trading ranges. Each range is continuously monitored for potential mitigation (breakout) events. Key Features Identifies both High-Low-High and Low-High-Low range patterns Validates each range using logarithmic fibonacci relationships (more accurate than linear fibs) Detects range mitigations (breakouts) and visually differentiates them Shows fibonacci levels within ranges (25%, 50%, 75%) for potential reversal points Visualizes extension levels beyond ranges for breakout targets Analyzes volume profile with customizable price divisions (default: 60) Displays Point of Control (POC) and Value Area for traded volume analysis Implements performance optimization with configurable range limits Includes user-adjustable safety checks to prevent Pine Script limitations Offers fully customizable colors, line widths, and transparency settings How To Use It Identify Valid Ranges : The indicator automatically detects and highlights trading ranges that meet fibonacci validation criteria Monitor Fibonacci Levels : Watch for price reactions at internal fib levels (25%, 50%, 75%) for potential reversal opportunities Track Extension Targets : Use the extension lines as potential targets when price breaks out of a range Analyze Volume Structure : Enable the volume profile mode to see where most volume was traded within mitigated ranges Trade Range Boundaries : Look for reactions at range highs/lows combined with volume POC for higher probability entries Manage Performance : Adjust the maximum displayed ranges and history bars settings for optimal chart performance Settings Guide Left/Right Bars Look Back : Controls how far back the indicator looks to identify pivot points (higher values find more ranges but may reduce sensitivity) Max History Bars : Limits how far back in history the indicator will analyze (stays within Pine Script's 10,000 bar limitation) Max Ranges to Display : Restricts the total number of ranges kept in memory for improved performance (1-50) Volume Profile : When enabled, shows volume distribution analysis for mitigated ranges Volume Profile Divisions : Controls the granularity of the volume analysis (higher values show more detail) Display Options : Toggle visibility of range lines, fibonacci levels, extension lines, and volume analysis elements Transparency & Color Settings : Fully customize the visual appearance of all indicator elements Line Width Settings : Adjust the thickness of lines for better visibility on different timeframes Technical Details The indicator uses logarithmic fibonacci calculations for more accurate price relationships Volume profile analysis creates 60 price divisions by default (adjustable) for detailed volume distribution All timestamps are properly converted to work with Pine Script's bar limitations Safety checks prevent "array index out of bounds" errors that plague many complex indicators Time-based coordinates are used instead of bar indices to prevent "bar index too far" errors This indicator works well on all timeframes and instruments, but performs best on 5-minute to daily charts. Perfect for swing traders, range traders, and breakout strategists. What Makes It Different Most range indicators simply draw boxes based on recent highs and lows. Smart Range Detector validates each potential range using proven fibonacci relationships to filter out noise. It then adds sophisticated volume analysis to help traders identify the most significant price levels within each range. The performance optimization features ensure smooth operation even on lower timeframes and extended history analysis.
Indicador Pine Script®
por mindyourbuisness
2
Casa_VolumeProfileSessionLibrary "Casa_VolumeProfileSession" Analyzes price and volume during regular trading hours to provide a session volume profile, including Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL). Calculates and displays these levels historically and for the developing session. Offers customizable visualization options for the Value Area, POC, histogram, and labels. Uses lower timeframe data for increased accuracy and supports futures sessions. The number of rows used for the volume profile can be fixed or dynamically calculated based on the session's price range and the instrument's minimum tick increment, providing optimal resolution. calculateEffectiveRows(configuredRows, dayHigh, dayLow)   Determines the optimal number of rows for the volume profile, either using the configured value or calculating dynamically based on price range and tick size   Parameters:      configuredRows (int) : User-specified number of rows (0 means auto-calculate)      dayHigh (float) : Highest price of the session      dayLow (float) : Lowest price of the session   Returns: The number of rows to use for the volume profile debug(vp, position)   Helper function to write some information about the supplied SVP object to the screen in a table.   Parameters:      vp (Object) : The SVP object to debug      position (string) : The position.* to place the table. Defaults to position.bottom_center getLowerTimeframe()   Depending on the timeframe of the chart, determines a lower timeframe to grab volume data from for the analysis   Returns: The timeframe string to fetch volume for get(volumeProfile, lowerTimeframeHigh, lowerTimeframeLow, lowerTimeframeVolume, lowerTimeframeTime, lowerTimeframeSessionIsMarket)   Populated the provided SessionVolumeProfile object with vp data on the session.   Parameters:      volumeProfile (Object) : The SessionVolumeProfile object to populate      lowerTimeframeHigh (array) : The lower timeframe high values      lowerTimeframeLow (array) : The lower timeframe low values      lowerTimeframeVolume (array) : The lower timeframe volume values      lowerTimeframeTime (array) : The lower timeframe time values      lowerTimeframeSessionIsMarket (array) : The lower timeframe session.ismarket values (that are futures-friendly) drawPriorValueAreas(todaySessionVolumeProfile, extendYesterdayOverToday, showLabels, labelSize, pocColor, pocStyle, pocWidth, vahlColor, vahlStyle, vahlWidth, vaColor)   Given a SessionVolumeProfile Object, will render the historical value areas for that object.   Parameters:      todaySessionVolumeProfile (Object) : The SessionVolumeProfile Object to draw      extendYesterdayOverToday (bool) : Defaults to true      showLabels (bool) : Defaults to true      labelSize (string) : Defaults to size.small      pocColor (color) : Defaults to #e500a4      pocStyle (string) : Defaults to line.style_solid      pocWidth (int) : Defaults to 1      vahlColor (color) : The color of the value area high/low lines. Defaults to #1592e6      vahlStyle (string) : The style of the value area high/low lines. Defaults to line.style_solid      vahlWidth (int) : The width of the value area high/low lines. Defaults to 1      vaColor (color) : The color of the value area background. Defaults to #00bbf911) drawHistogram(volumeProfile, bgColor, showVolumeOnHistogram)   Given a SessionVolumeProfile object, will render the histogram for that object.   Parameters:      volumeProfile (Object) : The SessionVolumeProfile object to draw      bgColor (color) : The baseline color to use for the histogram. Defaults to #00bbf9      showVolumeOnHistogram (bool) : Show the volume amount on the histogram bars. Defaults to false. Object   Object Contains all settings and calculated values for a Volume Profile Session analysis   Fields:      numberOfRows (series int) : Number of price levels to divide the range into. If set to 0, auto-calculates based on price range and tick size      valueAreaCoverage (series int) : Percentage of total volume to include in the Value Area (default 70%)      trackDevelopingVa (series bool) : Whether to calculate and display the Value Area as it develops during the session      valueAreaHigh (series float) : Upper boundary of the Value Area - price level containing specified % of volume      pointOfControl (series float) : Price level with the highest volume concentration      valueAreaLow (series float) : Lower boundary of the Value Area      startTime (series int) : Session start time in Unix timestamp format      endTime (series int) : Session end time in Unix timestamp format      dayHigh (series float) : Highest price of the session      dayLow (series float) : Lowest price of the session      step (series float) : Size of each price row (calculated as price range divided by number of rows)      pointOfControlLevel (series int) : Index of the row containing the Point of Control      valueAreaHighLevel (series int) : Index of the row containing the Value Area High      valueAreaLowLevel (series int) : Index of the row containing the Value Area Low      lastTime (series int) : Tracks the most recent timestamp processed      volumeRows (map) : Stores volume data for each price level row (key=row number, value=volume)      ltfSessionHighs (array) : Stores high prices from lower timeframe data      ltfSessionLows (array) : Stores low prices from lower timeframe data      ltfSessionVols (array) : Stores volume data from lower timeframe data
Biblioteca Pine Script®
por Mupsje
5
Volume Zones Internal Visualizer [LuxAlgo]The Volume Zones Internal Visualizer is an alternate candle type intended to reveal lower timeframe volume activity while on a higher timeframe chart. It displays the candle's range, the highest and lowest zones of accumulated volume throughout the candle, and the Lower Timeframe (LTF) candle close, which contained the most volume in the session (Candle Session). 🔶 USAGE The indicator is intended to be used as its own independent candle type. It is not a replacement for traditional candlesticks; however, it is recommended that you hide the chart's display when using this indicator. Another option is to display this indicator in an additional pane alongside the normal chart, as displayed above. The display consists of candle ranges represented by outlined boxes, within the ranges you will notice a transparent-colored zone, a solid-colored zone, and a line. Each of these displays different points of volume-related information from an analysis of LTF data. In addition to this analysis, the indicator also locates the LTF candle with the highest volume, and displays its close represented by the line. This line is considered as the "Peak Activity Level" (PAL), since throughout the (HTF) candle session, this candle's close is the outcome of the most volume transacted at the time. We are further tracking these PALs by continuing to extend them into the future, looking towards them for potential further interaction. Once a PAL is crossed, we are removing it from display as it has been mitigated. 🔶 DETAILS The indicator aggregates the volume data from each LTF candle and creates a volume profile from it; the number of rows in the profile is determined by the "Row Size" setting. With this profile, it locates and displays the highest (solid area) and lowest (transparent area) volume zones from the profile created. 🔶 SETTINGS Row Size: Sets the number of rows used for the calculation of the volume profile based on LTF data. Intrabar Timeframe: Sets the Lower Timeframe to use for calculations. Show Last Unmitigated PALs: Choose how many Unmitigated PALs to extend. Style: Toggle on and off features, as well as adjust colors for each.
Indicador Pine Script®
por LuxAlgo
12
Volumetric Order Flow Structure [LuxAlgo]The Volumetric Order Flow Structure indicator is a comprehensive technical analysis tool designed to visualize market structure through the lens of volumetric distribution and institutional order flow. 🔶 USAGE Traders can use this tool to identify institutional supply and demand zones backed by high-volume nodes. The glowing structure bars provide immediate feedback on breakout conviction, while the manipulation bubbles highlight areas where institutional players may be trapping retail traders before a reversal. The indicator is particularly useful for identifying: High-conviction breakouts versus low-volume "fakeouts." Precise price levels within a zone where the most volume was transacted (POC). Liquidity raids that suggest a potential reversal or trend continuation. 🔹 Volumetric Market Structure The script automatically detects Change of Character (CHoCH) and Break of Structure (BOS). Breakout levels are represented by glowing "Volumetric Bars" that fill horizontally based on the breakout bar's volume delta, representing the internal buying or selling pressure of the move. 🔹 Stepped Volume Profiles Active Order Blocks feature a 15-row horizontal histogram. The script calculates the volume distribution within the pivot candle, highlighting the Point of Control (POC) in orange to identify the most significant price node within the supply or demand zone. 🔹 Manipulation Bubbles This feature identifies liquidity raids where price wicks beyond a zone but fails to close through it. These events are marked with circular "bubbles" sized dynamically by volume, featuring external volume data labels for precise analysis of institutional activity. 🔶 DETAILS The script employs a dynamic zone management system where zones extend across the screen until the price closes beyond them. An advanced 'Hide Overlapping' filter ensures that if multiple zones occur in the same price range, only the most relevant (highest volume) block is displayed to maintain chart clarity. Additionally, the indicator utilizes ATR-based scaling to ensure visual thickness and label sizes are perfectly proportional across all assets, ensuring a consistent experience whether trading Forex, Stocks, or high-priced Cryptocurrencies. 🔶 SETTINGS 🔹 Detection Pivot Length: Sets the lookback period for detecting high and low pivots used for structure. Volume Lookback: The window used to calculate relative volume for scaling and sensitivity. 🔹 Visuals Max Recent Blocks: The maximum number of active supply/demand zones to display on the chart. Base Transparency: Controls the overall opacity of the volumetric zones. Hide Overlapping Blocks: When enabled, the script removes smaller/lower volume blocks that reside within the price range of a more significant block. 🔹 Manipulation Show Manipulation Bubbles: Toggles the visibility of liquidity raid markers. Size Sensitivity: Adjusts how aggressively the bubble sizes react to volume spikes.
Indicador Pine Script®
por LuxAlgo
3
AMT Institutional Model v2What This Indicator Does This indicator implements Fabio Valentini's Auction Market Theory (AMT) model — the same framework used by a verified World Cup Trading Championship competitor who achieved 218% audited returns in a single competition year. The core principle is simple: The market is an auction. It moves between two states — Balance (choppy, no edge) and Imbalance (trending, tradeable). Most traders lose because they trade inside balance. This indicator tells you when to sit out and when conditions are aligned for entry. It is a MODEL, not a strategy. It does not give buy/sell signals. It gives you the 3 conditions Valentini requires before any trade, and visually shows you when all 3 align. The 3 Conditions (ALL Must Be True Before Entry) Valentini's rule: "If even one is missing, you stay flat." #ConditionWhat the indicator shows1Market State — Is the market OUT of balance?Background color: Yellow = Balance (DO NOT TRADE). Blue/Red = Imbalance (OK to look)2Location — Is price at a meaningful level?LVN lines (magenta), Support/Resistance (green/red dashes), HVN (yellow), POC (orange)3Aggression — Are large participants executing?Blue circles below bar = Buyer aggression. Red circles above bar = Seller aggression When all 3 align, a green diamond (bull) or red diamond (bear) appears. This is the confluence signal — the premium setup. How To Read The Chart — Step by Step STEP 1 — Check the Balance Box (yellow dashed rectangle) This is the Value Area where 70% of volume was traded. Think of it as a "no-fly zone." Price INSIDE the box → Info table says "Inside VA - Skip" → Do nothing Price OUTSIDE the box → Now you can start looking for setups Valentini: "Market is usually in balance. That is why traders take a streak of stop-losses." The Balance Box keeps you out of the chop. STEP 2 — Check the Background Color 🟡 Yellow tint = Balance. Market is compressed. Stay flat. 🔵 Blue tint = Imbalance Bullish. Trend is up. Look for longs only. 🔴 Red tint = Imbalance Bearish. Trend is down. Look for shorts only. You need BOTH: price outside the Balance Box AND background showing Imbalance. STEP 3 — Find Your Level Look for price approaching one of these levels: LVN (magenta dashed) — Low Volume Nodes. Price rejected here before and will likely react again. These are Valentini's primary entry zones. When price revisits an LVN, it either rips through (continuation) or bounces (reversal). Wait for aggression to confirm which one. HVN (yellow solid) — High Volume Nodes. Price accepted here = consolidation zones. Good for targets, not entries. POC (orange thick) — Point of Control. Highest volume price = "fair value." Strong magnet. Good for mean-reversion targets. 30m S/R (green/red dashed) — Auction pivot structure from the 30-minute timeframe. Weekly/Daily/4H levels — Institutional reference levels. Confluence of multiple levels = stronger zone. Fibonacci levels — Labeled with source timeframe (D = Daily, W = Weekly) so you always know where the level comes from. STEP 4 — Wait for Aggression Do NOT enter just because price is at a level. Wait for the circles (bubbles): 🔵 Blue circle below bar = Buyer aggression (volume spike + bullish close) 🔴 Red circle above bar = Seller aggression (volume spike + bearish close) Circle size = intensity (small → normal → large = 2x → 3.5x → 5x+ volume) Valentini: "When there is direction, location, and aggression — your ability to READ is 100%." Entry Checklist (Long Example) ✅ Background is blue (Imbalance Bullish) ✅ Price is outside the Balance Box (above VAH or pulled back below VAL) ✅ Price is at or near an LVN, Support level, or Fibonacci level ✅ A blue circle appears below the bar (buyer aggression confirmed) ✅ 30-min trend line is blue (uptrend structure) Enter long. Stop below the LVN / support level. For shorts, mirror everything: red background, near resistance/LVN, red circle above bar, red trend line. Exit Rules Exit TypeWhenPrimary targetThe POC (orange line). Valentini: "Target the previous balance POC — 70% of the time, price reverses from it."Secondary targetThe next HVN (yellow line). Price tends to slow down and consolidate at HVNs. Take partial profits here.Structural targetThe next major Weekly/Daily level or Fibonacci level in the direction of your trade.Failed auction exitIf you're long and an X cross appears above your bar — this means aggressive buyers failed. The sellers won. Close immediately.Re-entry of Balance BoxIf price re-enters the Value Area after breaking out, the breakout may have failed. Tighten stop or exit. This is Valentini's Mean Reversion Model — the snap-back.Opposite aggressionLarge red circles appearing in your long trade = institutional selling. Reduce size or exit. What Each Module Does Module A — 30-Min Trend (blue/red step-line) Auction-based trend structure from 30-minute Higher-Highs/Higher-Lows. Not a moving average — this is structural. Module B — 30-Min S/R (green/red dashed) Pivot-based support and resistance from 30-minute auction structure. Sensitivity setting controls how many levels appear. Module C — Aggression Bubbles (circles + X crosses) Volume spike detection with directional body filter. 3 size tiers. X crosses mark failed auctions — when aggression fails and price reverses. Module D — MTF Levels (colored horizontal lines) Weekly, Daily, 4H, Hourly OHLC levels + Daily/Weekly Fibonacci retracements (labeled with source TF) + 20/50 SMA + Psychological round numbers. All line colors and widths fully customizable. Module E — Balance/Imbalance (background color) ATR compression ratio detects whether market is ranging or trending. Yellow = stay out. Blue/Red = conditions forming. Module F — Volume Profile (HVN/LVN/POC/Balance Box) Bin-based volume distribution over configurable lookback. Same methodology as ATAS, Sierra Chart, and TradingView's own SVP. Draws the Value Area box (skip trades inside), POC, and all significant volume nodes. Settings Guide Sensitivity — The single most important setting. Low = Strict. Fewer levels, fewer bubbles, only the strongest signals. For experienced traders who want a clean chart. Medium = Balanced. Recommended default. High = Sensitive. More signals, catches weaker setups. Good for learning or scalping. Futures vs ETF — Futures (NQ/ES/YM) have concentrated RTH volume so lower multipliers work. ETFs (SPY/QQQ) need higher thresholds to filter dark-pool noise. Label Mode — "Detailed" for learning, "Short" for clean charts once you know the levels. Label Size — Auto/Tiny/Small/Normal/Large. All labels respect this setting. Important Limitations ⚠️ No true order flow. TradingView does not provide tick-by-tick data, DOM, or executed vs. limit order differentiation. Aggression bubbles are a volume-spike proxy, not true order flow. For real order flow, use platforms like Bookmap, ATAS, or Sierra Chart alongside this indicator. ⚠️ Volume profile is approximated. Each bar's volume is proportionally distributed across its price range. Real volume-at-price requires tick data. This is the standard approximation used by all Pine Script volume profile implementations. ⚠️ This is a model, not a strategy. It shows conditions. You make the decision. No indicator replaces screen time and discretion. Alerts Available (12 total, all configurable ON/OFF) Bull Confluence | Bear Confluence | Failed Buy Auction | Failed Sell Auction | Huge Buy Volume (5x+) | Huge Sell Volume (5x+) | Balance/Imbalance Shift | 30-Min Trend Change | Any Aggression | Price at Key Level | Price Exits Value Area | Price at POC Built for NQ/ES futures day trading. Works on any liquid instrument with volume data. Not financial advice.
Indicador Pine Script®
por Fu3k_8
Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands Overview Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity. Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction. This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions. Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators. Conceptual Framework Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns. Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume. Three core principles guide the design: Trend direction should correspond to volume-weighted flow dominance, not price movement alone. Band width must adapt dynamically to current flow strength and volatility conditions. Flow intensity context reveals whether regimes formed under conviction or uncertainty. This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries. Theoretical Foundation The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification. A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers. Four internal systems operate in tandem: Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing. Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization. Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling. Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion. This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone. How It Works Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes: Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high). Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1. Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments. Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference. Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction. Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend. Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise. Together, these elements form a continuously updating trend framework anchored in volume flow reality. Interpretation Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries: Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance. Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support. Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum. Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods. Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points. Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets. Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline. Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods. Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations. Signal Logic & Visual Cues Smart Money Flow Cloud presents three primary interaction signals: Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition. Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition. Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise. Alert generation covers regime switches and retest events for systematic monitoring. Strategy Integration Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches: Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts. Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks. Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow). Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction. Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction. Technical Implementation Details Core Engine : Configurable EMA or ALMA baseline with secondary smoothing Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization Strength Transformation : Configurable power function for nonlinear flow amplification Band Construction : ATR-scaled width with flow-strength-interpolated multipliers Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge Signal Logic : Band crossover detection with baseline retest identification and cooldown management Performance Profile : Optimized for real-time execution with minimal computational overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure regime detection for scalping and intraday reversals 15 - 60 min : Intraday trend identification with flow-validated swings 4H - Daily : Swing and position-level regime analysis with institutional flow context Suggested Baseline Configuration: Trend Length : 34 Trend Engine : EMA Trend Smoothing : 3 Flow Window : 24 Flow Smoothing : 5 Flow Boost : 1.2 ATR Length : 14 Band Tightness (Calm) : 0.9 Band Expansion (Strong Flow) : 2.2 Reset Cooldown : 12 These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity. Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering. Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation. Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection. Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries. Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity. Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with consistent volume participation and institutional flow Instruments where volume accurately reflects true liquidity and conviction Trending environments where flow confirms directional price movement Mean-reversion strategies using retest signals within established regimes Reduced Effectiveness: Extremely low volume environments where flow calculations become unreliable News-driven or gapped markets with discontinuous volume patterns Highly manipulated or thinly traded instruments with erratic volume distribution Ranging markets where price oscillates within bands without conviction Integration Guidelines Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion Context Awareness : Consider whether current market regime matches historical flow patterns Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation Disclaimer Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
Indicador Pine Script®
por BOSWaves
6
Institutional PointOverview Institutional Point is a sophisticated data-mining indicator designed to identify and track "institutional footprints" by isolating the single candle with the highest volume relative to a specific time anchor. Unlike traditional volume profiles that aggregate data into price bins, this script pinpoints the exact temporal origin of massive liquidity injections. Core Methodology The script operates on a multi-timeframe analysis engine (MTF). It scans sub-chart data (2-minute or 15-minute intervals) to find the absolute maximum volume peak within a defined period. Once the "Institutional Point" is identified: Source Identification: The origin candle is highlighted in white, signaling a high-conviction entry or exit by large-scale market participants. Zone Projection: A borderless "Institutional Zone" is projected forward from the spike’s high/low range. Dynamic Interaction: The zone remains active until the price revisits the area (mitigation) or until the time-based expiration is reached. Anchor Modes & Precision 8-Hour Cycle: Optimized for high-frequency scalping. Anchors reset at 00:00, 08:00, and 16:00. Utilizes ultra-precise 2-minute volume detection. Daily Session: Designed for intraday and swing traders. Anchors to the Daily Open. Utilizes 2-minute volume detection to isolate precise institutional orders. Weekly Cycle: Built for identifying major structural pivots. Anchors to the Weekly Open. Utilizes 15-minute volume detection for macro-liquidity analysis. Key Features Naked Level Tracking: Zones automatically stop extending the moment they are "hit" by price action, providing a clean visual of unmitigated liquidity. Anti-Noise Filter: Automatically excludes Saturday and Sunday data to maintain statistical integrity across global markets. Minimalist Interface: High-contrast visual design focused on scannability and professional chart aesthetics. Use Cases Data Science & Backtesting: Ideal for measuring the "Z-Score" or "Percentile Distance" from institutional peaks. Supply & Demand Trading: Automated identification of the "Origin of the Move." Magnet Analysis: Tracking "Naked" volume spikes as high-probability magnets for future price mean reversion.
Indicador Pine Script®
por AlchimistOfCrypto
Delta Reaction Zones [BOSWaves]Delta Reaction Zones - Cumulative Delta-Based Supply and Demand Identification with Flow-Weighted Zone Construction Overview Delta Reaction Zones is a volume flow-aware supply and demand detection system that identifies price levels where significant buying or selling pressure accumulated, constructing adaptive zones around cumulative delta extremes with intelligent flow composition analysis. Instead of relying on traditional price-based support and resistance or fixed pivot structures, zone placement, thickness, and directional characterization are determined through delta accumulation patterns, volatility-adaptive sizing, and the proportional composition of positive versus negative volume flow. This creates dynamic reaction boundaries that reflect actual order flow imbalances rather than arbitrary price levels - contracting during low volatility environments, expanding during elevated volatility periods, and incorporating flow composition statistics to reveal whether zones formed under buying or selling dominance. Price is therefore evaluated relative to zones anchored at delta extremes rather than conventional technical levels. Conceptual Framework Delta Reaction Zones is founded on the principle that meaningful support and resistance emerge where cumulative volume flow reaches local extremes rather than where price alone forms patterns. Traditional support and resistance methods identify turning points through price structure, which often ignores the underlying order flow dynamics that drive those reversals. This framework replaces price-centric logic with delta-driven zone construction informed by actual buying and selling pressure. Three core principles guide the design: Zone placement should correspond to cumulative delta extremes, not price pivots alone. Zone thickness must adapt to current market volatility conditions. Flow composition context reveals whether zones formed under accumulation or distribution. This shifts supply and demand analysis from static price levels into adaptive, flow-anchored reaction boundaries. Theoretical Foundation The indicator combines delta proxy methodology, cumulative volume tracking, adaptive volatility measurement, and flow decomposition analysis. A signed volume delta proxy estimates directional order flow on each bar, which accumulates into a running cumulative delta series. Pivot detection identifies local extremes in either cumulative delta or its rate of change, marking levels where flow momentum reached inflection points. Average True Range (ATR) provides volatility-responsive zone sizing, while impulse window analysis decomposes recent flow into positive and negative components with percentage weighting. Four internal systems operate in tandem: Delta Accumulation Engine : Computes smoothed signed volume and maintains cumulative delta tracking for directional flow measurement. Pivot Detection System : Identifies significant turning points in cumulative delta or delta rate of change to anchor zone placement. Adaptive Zone Construction : Scales zone thickness dynamically using ATR-based volatility measurement around pivot anchors. Flow Composition Analysis : Calculates positive and negative flow percentages over a configurable impulse window to characterize zone formation context. This design allows zones to reflect actual order flow behavior rather than reacting mechanically to price formations. How It Works Delta Reaction Zones evaluates price through a sequence of flow-aware processes: Signed Volume Delta Calculation : Each bar's volume is directionally signed based on close-open relationship, creating a proxy for buying versus selling pressure. Cumulative Delta Tracking : Signed volume accumulates into a running total, revealing sustained directional flow over time. Pivot Identification : Local highs and lows in cumulative delta (or its rate of change) mark significant flow inflection points where zones anchor. Volatility-Adaptive Sizing : ATR multiplier determines zone half-width, automatically adjusting thickness to current market conditions. Flow Decomposition : Positive and negative volume components are separated and percentage-weighted over the impulse window to reveal dominant flow direction. Intelligent Zone Merging : Overlapping zones of the same type automatically merge into broader reaction areas, with flow statistics blended proportionally. Dynamic Extension and Visualization : Zones extend forward with gradient-filled composition segments showing buy versus sell flow proportions. Breach Detection and Cleanup : Zones invalidate automatically when price closes beyond their boundaries, maintaining chart clarity. Together, these elements form a continuously updating supply and demand framework anchored in order flow reality. Interpretation Delta Reaction Zones should be interpreted as flow-anchored supply and demand boundaries: Support Zones (Green) : Form at cumulative delta lows, marking levels where selling exhaustion or buying accumulation occurred. Resistance Zones (Red) : Establish at cumulative delta highs, identifying areas where buying exhaustion or selling distribution dominated. Flow Composition Segments : Visual gradient within each zone reveals the buy/sell flow proportion during zone formation. The upper segment (red tint) represents negative (selling) flow percentage while the lower segment (green tint) represents positive (buying) flow percentage. BUY FLOW / SELL FLOW / MIXED Labels : Indicate dominant flow character when one direction exceeds 60% of total impulse window activity. Net Delta Statistics : Display cumulative flow totals (Δ) alongside percentage breakdowns for immediate context. Zone Thickness : Reflects current volatility environment - wider zones in volatile conditions, tighter zones in calm markets. Zone Merging : Multiple nearby pivots consolidate into broader reaction areas, weighted by their respective flow magnitudes. Flow composition, volatility context, and delta magnitude outweigh isolated price reactions. Signal Logic & Visual Cues Delta Reaction Zones presents two primary interaction signals: Support Reclaim (RC) : Green label appears when price crosses back above a support zone's midline after trading below it, suggesting renewed buying interest. Resistance Re-enter (RE) : Red label displays when price crosses back below a resistance zone's midline after trading above it, indicating resumed selling pressure. Alert generation covers zone creation and midline reclaim/re-entry events for systematic monitoring. Strategy Integration Delta Reaction Zones fits within order flow-informed and supply/demand trading approaches: Flow-Anchored Entry Zones : Use zones as high-probability reaction areas where historical order flow imbalances occurred. Composition-Based Bias : Favor trades aligning with dominant flow character - long setups near zones formed under buying dominance, short setups near selling-dominated zones. Volatility-Aware Targeting : Expect wider reaction ranges when ATR expands zones, tighter ranges when ATR contracts them. Merge-Informed Conviction : Broader merged zones represent multiple flow inflection points, potentially offering stronger support/resistance. Midline Reclaim Validation : Use RC/RE signals as confirmation of zone respect rather than standalone entry triggers. Multi-Timeframe Flow Context : Apply higher-timeframe delta zones to inform lower-timeframe entry precision. Technical Implementation Details Core Engine : Signed volume delta proxy with EMA smoothing Accumulation Model : Persistent cumulative delta tracking with optional rate-of-change pivot detection Zone Construction : ATR-scaled thickness around pivot anchors Flow Analysis : Positive/negative decomposition over configurable impulse window Visualization : Gradient-filled zones with embedded flow statistics and percentage segments Signal Logic : Midline crossover detection with breach-based invalidation Merge System : Proximity-based consolidation with weighted flow blending Performance Profile : Optimized for real-time execution with configurable zone limits Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure flow zones for scalping and short-term reversals 15 - 60 min : Intraday supply/demand identification with flow context 4H - Daily : Swing-level reaction zones with macro flow characterization Suggested Baseline Configuration: Delta Smoothing Length : 3 Pivot Length : 12 Pivot Source : Cumulative Delta Impulse Window : 100 ATR Length : 14 ATR Multiplier : 0.35 (reduce for lower timeframes) Maximum Zones : 8 Merge Overlapping Zones : Enabled Merge Gap : 20 ticks These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, tick structure, and preferred zone density, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Zones appearing oversized : Reduce ATR Multiplier to tighten zone thickness, especially on lower timeframes. Excessive zone clutter : Increase Pivot Length to demand stronger delta extremes before zone creation. Unstable delta readings : Increase Delta Smoothing Length to reduce bar-to-bar noise in flow calculation. Missing significant levels : Decrease Pivot Length or switch Pivot Source to "Cumulative Delta RoC" for flow acceleration sensitivity. Flow percentages feel stale : Reduce Impulse Window Length to emphasize more recent buying/selling composition. Too many merged zones : Decrease Merge Gap (ticks) or disable merging to preserve individual pivot zones. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with consistent volume and order flow characteristics Instruments where delta proxy correlates well with actual tape reading Mean-reversion strategies targeting flow exhaustion zones Trend continuation entries at zones aligned with dominant flow direction Reduced Effectiveness: Extremely low volume environments where delta proxy becomes unreliable News-driven or gapped markets with discontinuous flow Highly manipulated or illiquid instruments with erratic volume patterns Integration Guidelines Confluence : Combine with BOSWaves structure, market profile, or traditional supply/demand analysis Flow Respect : Trust zones formed with strong net delta magnitude and clear flow dominance Context Awareness : Consider whether current market regime matches zone formation conditions Merge Recognition : Treat merged zones as higher-conviction areas due to multiple flow inflections Breach Discipline : Exit zone-based setups cleanly when price invalidates boundaries Disclaimer Delta Reaction Zones is a professional-grade order flow and supply/demand analysis tool. It uses a volume-based delta proxy that estimates directional pressure but does not access true order book data. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volatility context, and comprehensive risk management.
Indicador Pine Script®
por BOSWaves
17
Harmonic Liquidity Waves [JOAT]Harmonic Liquidity Waves Overview Harmonic Liquidity Waves is an open-source oscillator indicator that combines multiple volume-based analysis techniques into a unified liquidity flow framework. It integrates VWAP calculations, Chaikin Money Flow (CMF), Money Flow Index (MFI), and Klinger Volume Oscillator (KVO) with custom harmonic wave calculations to provide a comprehensive view of volume dynamics and money flow. What This Indicator Does The indicator calculates and displays: Liquidity Flow - Volume-weighted price movement accumulated over a lookback period Harmonic Wave - Multi-depth smoothed oscillator derived from liquidity flow Chaikin Money Flow (CMF) - Classic accumulation/distribution indicator Money Flow Index (MFI) - Volume-weighted RSI showing buying/selling pressure Klinger Volume Oscillator (KVO) - Trend-volume relationship indicator Wave Interference - Combined constructive/destructive wave patterns Volume Profile POC - Point of Control from simplified volume distribution How It Works The core liquidity flow calculation tracks volume-weighted price changes: calculateLiquidityFlow(series float vol, series float price, simple int period) => float priceChange = ta.change(price) float volumeFlow = vol * math.sign(priceChange) // Accumulated over period using buffer array float avgFlow = flowSum / period avgFlow The harmonic oscillator applies multi-depth smoothing: harmonicOscillator(series float flow, simple int depth, simple int period) => float harmonic = 0.0 for i = 1 to depth float wave = ta.ema(flow, period * i) / i harmonic += wave harmonic / depth CMF measures accumulation/distribution using the Money Flow Multiplier: float mfm = ((close - low) - (high - close)) / (high - low) float mfv = mfm * vol float cmf = ta.sum(mfv, period) / ta.sum(vol, period) * 100 Signal Generation Liquidity shift signals occur when: Bullish Shift: Smoothed wave crosses above signal line Bearish Shift: Smoothed wave crosses below signal line Strong signals require volume indicator confirmation: Strong Bull: Bullish shift + CMF > 0 + MFI > 50 + KVO > 0 Strong Bear: Bearish shift + CMF < 0 + MFI < 50 + KVO < 0 Divergence detection compares price pivots with liquidity wave pivots to identify potential reversals. Dashboard Panel (Bottom-Right) Wave Strength - Normalized wave magnitude Volume Pressure - Current volume vs average percentage Flow Direction - BUYING or SELLING based on wave sign Histogram - Wave minus signal line value CMF - Chaikin Money Flow reading MFI - Money Flow Index value (0-100) KVO - Klinger oscillator value Vol Confluence - Combined volume indicator score Signal - Current actionable status Visual Elements Liquidity Wave - Main oscillator line Wave Signal - Smoothed signal line for crossover detection Wave Histogram - Difference between wave and signal Wave Interference - Area plot showing combined wave patterns CMF/KVO/MFI Lines - Individual volume indicator plots Divergence Labels - BULL DIV / BEAR DIV markers Shift Markers - Triangles for basic shifts, labels for strong shifts Input Parameters Wave Period (default: 21) - Base period for liquidity calculations Volume Weight (default: 1.5) - Multiplier for volume emphasis Harmonic Depth (default: 3) - Number of smoothing layers Smoothing (default: 3) - Final wave smoothing period Suggested Use Cases Identify accumulation/distribution phases using CMF and wave direction Confirm momentum with MFI overbought/oversold readings Watch for divergences between price and liquidity flow Use strong signals when multiple volume indicators align Timeframe Recommendations Best on 15m to Daily charts. Volume-based indicators require sufficient trading activity for meaningful readings. Limitations Volume data quality varies by exchange and instrument Divergence detection uses pivot-based lookback and may lag Volume Profile POC is simplified and not a full profile analysis Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart. There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs... Core Functionality The indicator calculates and displays several analytical layers simultaneously: Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances. Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected. Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure. Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap. Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin. Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa. Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD. Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field. --- Visual Components Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility. Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect. Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level. Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility. Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows. Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35). --- HUD Console Metrics The right-side HUD displays seven key metrics: Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced. Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral. Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive. Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise. Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned. PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55). FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected. Pearlscent Color with Volume Heatmap. Parameters and Settings Microstructure Engine: Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance Smart Money Layer: Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold Structural Mapping: Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection Structure Memory: 2-8 levels (default: 4) - Number of structure points to track Volume Heat Projection: Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display Iridescent Enhancements: Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes Peer Momentum Heatmap: Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD") Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D") PMH RSI Length: 5-50 periods (default: 14) PMH StochRSI Length: 5-50 periods (default: 14) PMH StochRSI Smooth: 1-10 periods (default: 3) Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection Clarity & Readability: Liquidity Void Opacity: 5-90% (default: 30%) Smart Money Footprint Opacity: 5-90% (default: 35%) HUD Background Opacity: 40-95% (default: 70%) Iridescent Field: Field Opacity: 20-100% (default: 86%) - Background color intensity Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient --- Alerts The indicator provides seven alert conditions: Liquidity Void Detected - Triggers when void conditions are met Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio Smart Money Activity - Triggers when accumulation or distribution detected Price/Volume Divergence - Triggers when divergence conditions occur Structure Shift - Triggers when structure polarity changes significantly PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled) PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled) Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled) --- Usage Considerations Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns. The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance. FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage. Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background. The indicator is designed for overlay display. All visual elements are positioned relative to price action. Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently. Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features. --- Technical Notes Built on Pine Script v6 with dynamic request capability for PMH functionality. Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness. Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation. Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions. Box management includes automatic cleanup of expired boxes to maintain performance. All visual elements use color gradients and transparency for smooth blending with price action. --- Customization Examples Intraday Scalping Setup: Analysis Depth: 30 bars Heat Map Lookback: 100 bars FVG Persistence: 150 bars PMH Window: 15 bars Fast color shift speed: 0.5+ Macro Structure Tracking: Analysis Depth: 100+ bars Heat Map Lookback: 300+ bars FVG Persistence: 500+ bars Structure Memory: 6-8 levels Slower color shift speed: 0.2 --- Limitations Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values. PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data. FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes. Structure lines connect points but do not predict future structure. They reflect historical pivot relationships. Color themes are aesthetic choices and do not affect calculation logic. The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions. Open Source This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs. For questions, suggestions, or anything please talk to me in private messages or comments below! Would love to help! - officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
1
Institutional VWAP Suite (Lite Compatible)The **Institutional VWAP Suite (Lite Compatible)** brings true institutional volume-weighted price analysis to every trader — even on TradingView Lite/Free accounts where standard VWAP tools are restricted. This script recreates the most important VWAP models used by banks, funds, and high-frequency desks, including: • **Daily VWAP** (exchange-accurate) • **Weekly VWAP** (manually accumulated) • **Monthly VWAP** (manually accumulated) • **Rolling Window VWAP** (array-based, fully Lite-compatible) All calculations avoid blocked functions like `ta.sum` or session-restricted VWAP calls. Everything is built manually from volume and price to ensure accuracy across all accounts and all markets. ### Features • Multi-timeframe VWAPs (Daily/Weekly/Monthly) • Manual Rolling VWAP with adjustable length • Optional VWAP bands (Lite-safe) • Clean visuals with color-coded levels • Optimized arrays for fast, stable performance • Free-tier compatible — no premium functions required This tool is designed for traders who want institutional structure, premium-level VWAP calculations, and consistent execution regardless of plan level. Perfect for scalpers, day traders, futures traders, and anyone who uses intraday volume profiles. ### Recommended Use • Map directional bias using Daily vs Weekly VWAP • Use Monthly VWAP for macro trend context • Track intraday mean reversion with Rolling VWAP • Use VWAP bands as dynamic support/resistance zones A simple, powerful, no-restrictions VWAP engine — built for everyone.
Indicador Pine Script®
por LawlessTrader
Bassi's Consolidation Breakout — ULTIMATE PRO + VPOverview Bassi’s Consolidation Breakout — ULTIMATE PRO + VP is a professional-grade breakout detection system that combines price structure, volume confirmation, volatility compression, and custom volume profile logic. The indicator automatically detects compressed consolidation zones, confirms breakouts with multi-layer filters, and plots full trade setups including: Entry level Stop-loss TP1, TP2, TP3 (R:R based) Trend filters + MTF EMA Retest validation Volume Profile confirmation (POC / VAH / VAL) This is one of the most complete breakout frameworks for TradingView. 🔍 Core Concept The script detects tight consolidation boxes based on: Price range (% compression) Lookback period Minimum required bars Breakout above/below the box Once the consolidation ends, breakout signals fire only if they pass all filters. This focuses your trading on high-probability breakouts only. 🔥 Key Features 1️⃣ Automated Consolidation Box Detection Draws consolidation boxes dynamically Identifies tight range compression Supports advanced range logic for high accuracy 2️⃣ Smart Breakout + Retest Engine Breakouts and breakdowns require: Structure break Minimum breakout expansion (0.15%) Volume confirmation Trend (200 EMA) confirmation Optional retest validation Optional Volume Profile filter Each valid breakout prints a signal + full trade setup. 3️⃣ Custom Volume Profile Engine Fast and lightweight custom-built VP that calculates: POC (Point of Control) VAH (Value Area High) VAL (Value Area Low) These levels can optionally be used to filter weak breakouts. 4️⃣ Multi-Timeframe Trend Filter Uses 200 EMA from any selected higher timeframe Helps avoid counter-trend fakeouts Fully optional 5️⃣ Automatic Trade Setup Projection Each breakout generates: Stop-loss (ATR × multiplier) TP1 (R:R) TP2 (R:R) TP3 (optional) Clean signal labels Only keeps the last 2 signals to maintain clarity 6️⃣ Alerts Included Alerts fire instantly when a valid breakout occurs: “Bassi LONG + VP” “Bassi SHORT + VP” Alerts include ticker + entry price. 📘 Usage Guide & Trading Rules ✔ Recommended Trading Steps 1. Wait for a confirmed consolidation box Box must be narrow Must meet minimum bar requirement 2. Wait for a confirmed breakout signal Signal requires: Breakout above/below box Volume confirmation Trend & MTF confirmation if enabled Optional retest Optional VP filter (close outside VAH/VAL) 3. Follow the projected setup The script prints: Entry SL TP1 / TP2 / TP3 Target lines extend automatically. 📖 How to Use the Script (Trading Rules) 1️⃣ Long Entry Rules Enter Long when: Price breaks above trend confirmation level Momentum signal turns bullish Candle closes above trigger line Volatility filter is satisfied Exit Long: TP1/TP2/TP3 levels Reversal signal Trailing stop hit 2️⃣ Short Entry Rules Enter Short when: Price breaks below trend confirmation level Momentum signal turns bearish Candle closes below trigger line Volatility filter is satisfied Exit Short: TP1/TP2/TP3 levels Trend reversal Trailing stop hit ✔ Recommended Markets Crypto Forex Indices Futures Stocks Works on all timeframes from 1-minute to daily. ✔ Best Practice Avoid taking signals against HTF trend Prefer signals that break away from VAH/VAL Use TP1 to secure partial profits Move SL to breakeven after TP1 if desired Always follow personal risk management 👤 Author Created by: Mahdi Bassi Professional trader & systems designer Focused on structural, volume-based and volatility-based strategies. ⚠️ Disclaimer This script is for educational purposes only. No indicator can guarantee profits. Always use proper risk management and trade responsibly.
Indicador Pine Script®
por Mahdibas
Exponential Action Map (EAM)### **Exponential Action Map (EAM) – Description and Differences from VPVR** The Exponential Action Map (EAM) indicator is a Pine Script-based volume profile indicator that offers **a weighted representation of buying and selling activity**. Unlike the standard **Volume Profile Visible Range (VPVR)**, which simply shows traded volume at various price levels, the EAM provides the following additional features: 1. **Exponential Weighting**: - Instead of treating the volume of all considered bars equally, the EAM uses a **decay factor** to gradually diminish the significance of older data. This allows **more recent price movements to have greater influence**, making it particularly useful for short-term analysis. 2. **Exponential Stealth Move (ESM)**: - In addition to buy and sell volume, the EAM calculates and displays the **Exponential Stealth Move (ESM)**. - This measures the relative price movement compared to volume and highlights areas where **significant price changes occur with low volume**, which may indicate institutional activity or strong momentum. - The ESM visualization is not present in VPVR, making it a distinct and valuable feature. 3. **Visualization Methodology**: - Instead of simple histograms like in VPVR, volume is represented by **dynamic boxes** that encompass Buy (EBA), Sell (ESA), and Stealth Move (ESM) activities. - The size and color of these boxes are **customizable**, allowing for clear differentiation between various volume types. 4. **Flexibility & Configuration**: - Users can adjust parameters such as **Number of Bars, Decay Factor, Bar Width, and Maximum History Data**. - The ability to **toggle historical data visibility** offers a **tailored view** that VPVR does not provide. **Conclusion:** The EAM extends the classic volume profile (VPVR) by introducing **time-weighted volume analysis and detection of Stealth Moves (ESM)**. This not only highlights price levels with high trading volume but also reveals **price movements with low liquidity**, which can potentially indicate institutional interest.
Indicador Pine Script®
por Tires7
8
Multiple AVWAP [OmegaTools]The Multiple AVWAP indicator is a sophisticated trading tool designed for professional traders who require precision in volume-weighted price tracking. This indicator allows for the deployment of multiple Anchored Volume Weighted Average Price (AVWAP) calculations simultaneously, offering deep insights into price movements, dynamic support and resistance levels, and trend structures across multiple timeframes. This indicator caters to both institutional and retail traders by integrating flexible anchoring methods, multi-timeframe adaptability, and enhanced visualization features. It also includes deviation bands for statistical analysis, making it a comprehensive volume-based trading solution. Key Features & Functionalities 1. Multiple AVWAP Configurations Users can configure up to four distinct AVWAP calculations to track different market conditions. Supports various anchoring methods: Fixed: A traditional AVWAP that starts from a defined historical point. Perpetual: A rolling VWAP that continuously adjusts over time. Extension: An extension-based AVWAP that projects from past calculations. High Volume: Anchors AVWAP to the highest volume bar within a specified period. None: Option to disable AVWAP calculation if not required. 2. Advanced Deviation Bands Implements standard deviation bands (1st and 2nd deviation) to provide a statistical measure of price dispersion from the AVWAP. Serves as a dynamic method for identifying overbought and oversold conditions relative to VWAP pricing. Deviation bands are customizable in terms of visibility, color, and transparency. 3. Multi-Timeframe Support Users can assign different timeframes to each AVWAP calculation for macro and micro analysis. Helps in identifying long-term institutional trading levels alongside short-term intraday trends. 4. Z-Score Normalization Mode Option to standardize oscillator values based on AVWAP deviations. Converts price movements into a statistical Z-score, allowing traders to measure price strength in a normalized range. Helps in detecting extreme price dislocations and mean-reversion opportunities. 5. Customizable Visual & Aesthetic Settings Fully customizable line colors, transparency, and thickness to enhance clarity. Users can modify AVWAP and deviation band colors to distinguish between different levels. Configurable display options to match personal trading preferences. 6. Oscillator Mode for Trend & Momentum Analysis The indicator converts price deviations into an oscillator format, displaying AVWAP strength and weakness dynamically. This provides traders with a momentum-based perspective on volume-weighted price movements. User Guide & Implementation 1. Configuring AVWAPs for Optimal Use Choose the mode for each AVWAP instance: Fixed (set historical point) Perpetual (rolling, continuously updated AVWAP) Extension (projection from past AVWAP levels) High Volume (anchored to highest volume bar) None (disables the AVWAP line) Adjust the length settings to fine-tune calculation sensitivity. 2. Utilizing Deviation Bands for Market Context Activate deviation bands to see statistical boundaries of price action. Monitor +1 / -1 and +2 / -2 standard deviation levels for extended price movements. Consider price action outside of deviation bands as potential mean-reversion signals. 3. Multi-Timeframe Analysis for Institutional-Level Insights Assign different timeframes to each AVWAP to compare: Daily VWAP (institutional trading levels) Weekly VWAP (swing trading trends) Intraday VWAPs (short-term momentum shifts) Helps identify where institutional liquidity is positioned relative to price. 4. Activating the Oscillator for Momentum & Bias Confirmation The oscillator converts AVWAP deviations into a normalized value. Use overbought/oversold levels to determine strength and potential reversals. Combine with other indicators (RSI, MACD) for confluence-based trading decisions. Trading Applications & Strategies 5. Trend Confirmation & Institutional VWAP Tracking If price consistently holds above the primary AVWAP, it signals a bullish trend. If price remains below AVWAP, it indicates selling pressure and a bearish trend. Monitor retests of AVWAP levels for potential trend continuation or reversal. 6. Dynamic Support & Resistance Levels AVWAP lines act as dynamic floating support and resistance zones. Price bouncing off AVWAP suggests continuation, whereas breakdowns indicate a shift in momentum. Look for confluence with high-volume zones for stronger trade signals. 7. Mean Reversion & Statistical Edge Trading Prices that deviate beyond +2 or -2 standard deviations often revert toward AVWAP. Mean reversion traders can fade extended moves and target AVWAP re-tests. Helps in identifying exhaustion points in trending markets. 8. Institutional Liquidity & Volume Footprints Institutions often execute large trades near VWAP zones, causing price reactions. Tracking multi-timeframe AVWAP levels allows traders to anticipate key liquidity areas. Use higher timeframe AVWAPs as macro support/resistance for swing trading setups. 9. Enhancing Momentum Trading with AVWAP Oscillator The oscillator provides a momentum-based measure of AVWAP deviations. Helps in confirming entry and exit timing for trend-following trades. Useful for pairing with stochastic oscillators, MACD, or RSI to validate trade decisions. Best Practices & Trading Tips Use in Conjunction with Volume Analysis: Combine with volume profiles, OBV, or CVD for increased accuracy. Adjust Timeframes Based on Trading Style: Scalpers can focus on short-term AVWAP, while swing traders benefit from weekly/daily AVWAP tracking. Backtest Different AVWAP Configurations: Experiment with different anchoring methods and lookback periods to optimize trade performance. Monitor Institutional Order Flow: Identify key VWAP zones where institutional traders may be active. Use with Other Technical Indicators: Enhance trading confidence by integrating with moving averages, Bollinger Bands, or Fibonacci retracements. Final Thoughts & Disclaimer The Multiple AVWAP indicator provides a comprehensive approach to volume-weighted price tracking, making it ideal for professional traders. While this tool enhances market clarity and trade decision-making, it should be used as part of a well-rounded trading strategy with risk management principles in place. This indicator is provided for informational and educational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and due diligence before executing trades. OmegaTools - Enhancing Market Clarity with Precision Indicators
Indicador Pine Script®
por OmegaTools
4
Simplified Market ProfileVolume Bins: This script divides the price range into num_bins equal price levels. Each bin holds the cumulative volume for that price range. Profile Length: The number of past bars that the profile considers for building the volume histogram. Bin Size: The price range between bins is determined by dividing the difference between the highest and lowest prices over the specified range. Volume Calculation: The script iterates over each bar within the specified range, determining which price bin the bar’s volume should be added to. Plotting: The script visualizes the volume profile as lines plotted horizontally at different price levels, with thickness proportional to the volume traded at that level.
Indicador Pine Script®
por naveen3153
CVD - Cumulative Volume Delta (Chart)█   OVERVIEW This indicator displays cumulative ​volume delta (​CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise ​volume delta information compared to methods that only use the chart's timeframe. The core concepts in this script come from our first ​ CVD indicator , which displays CVD​ values as plot candles in a separate indicator pane. In this script, CV​D values are scaled according to price ranges and represented on the main chart pane. █   CONCEPTS Bar polarity Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the ​LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed. Volume delta Volume delta is a measure that separates ​volume​ into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume​ and market sentiment. There are several methods for determining whether an asset's volume​ belongs in the "up" or "down" category. Some indicators, such as On Balance Volume​ and the Klinger Oscillator , use the change in price between bars to assign ​volume​ values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the ​volume​ value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating ​volume delta on historical bars. Our Volume Profile indicators use it as well. Other ​volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise ​volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis. This is the logic we use to assign intrabar ​volume to the "up" or "down" category:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume​ to produce the volume​ delta for the chart bar. █   FEATURES CVD resets The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume​ delta accumulation, we can analyze the progression of ​volume delta across manageable chunks, which is often more useful than looking at ​volume delta accumulated from the beginning of a chart's history. You can configure the reset period using the "CVD Resets" input, which offers the following selections:  • None : Calculations do not reset.  • On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.  • At a fixed time that you specify.  • At the beginning of the regular session .  • On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .  • On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules: Chart TF ​HTF < 1min 1H < 3H 1D <= 12H 1W < 1W 1M >= 1W 1Y Specifying intrabar precision Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed. The first five options allow users to specify the approximate amount of chart bars to be covered:  • Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.   This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.  • Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped ​LTF in relation to the current chart's timeframe.  • Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min ​LTF.  • Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min ​LTF. The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF​ which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF​, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible. As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Display This script displays raw or cumulative volume​ delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume​ activity on each bar or cumulatively over time. The indicator's background shows where CVD​ resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume​ delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume​ activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings. This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input. Divergences occur when the polarity of ​volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs. An information box in the lower-left corner of the indicator displays the HTF used for resets, the ​LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings. FOR Pine Script™ CODERS  • This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.   The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .   The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.  • The script utilizes display.data_window and display.status_line to restrict the display of certain plots.   These new built-ins allow coders to fine-tune where a script’s plot values are displayed.  • The newly added session.isfirstbar_regular built-in allows for resetting the ​CVD segments at the start of the regular session.  • The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.   These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.   This functionality also enables the scaling of the oscillator zones.   These variables are just a couple of the many new built-ins available in the chart.* namespace.   For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .  • Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting ​CVD segments within this script.   Revisit the library to see more of the newly added content! Look first. Then leap.
Indicador Pine Script®
por TradingView
60
Delta Volume Channels [LucF]█  OVERVIEW This indicator displays on-chart visuals aimed at making the most of delta ​volume information. It can color bars and display two channels: one for delta ​volume, another calculated from the price levels of bars where delta ​volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta ​volume in both conditions. █  CONCEPTS Delta Volume ​The ​volume delta concept divides a bar's ​volume in "up" and "down" ​volumes. The delta is calculated by subtracting down ​volume from up ​volume. Many calculation techniques exist to isolate up and down ​volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their ​volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the ​volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available. This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating ​volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. TradingView's Volume Profile built-in indicators use it, as do the CVD - Cumulative ​Volume Delta Candles and CVD - Cumulative Volume Delta (Chart) indicators published from the TradingView account . My Volume Delta Columns Pro indicator also uses intrabar analysis. Other ​volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise ​volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time. This is the logic I use to assign intrabar ​volume to up or down slots:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's ​volume determined, the up volumes are added and the down volumes subtracted. The resulting value is ​volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument. Delta ​Volume Percent (DV%) This value is the proportion that delta ​volume represents of the total intrabar ​volume in the chart bar. Note that on some symbols/timeframes, the total intrabar ​volume may differ from the chart's ​volume for a bar, but that will not affect our calculations since we use the total intrabar ​volume. Delta ​Volume Channel The ​​DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source. The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's ​volume in relation to previous bars. The effect of this is that DV% values on bars with higher total ​volume will carry greater weight than those with lesser ​volume. The ​DV channel can be in one of four states, each having its corresponding color:  • Bull (teal): The DV%-weighted line is above the reference line.  • Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.  • Bear (maroon): The DV%-weighted line is below the reference line.  • Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling. Divergences In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur. Divergence Channel The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel. Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:  • Bull (teal): Price has breached the channel to the upside.  • Strong bull (lime): The bull condition is fulfilled and the ​DV channel is in the strong bull state.  • Bear (maroon): Price has breached the channel to the downside.  • Strong bear (pink): The bear condition is fulfilled and the ​DV channel is in the strong bear state.  • Neutral (gray): The channel has not been breached. █  HOW TO USE THE INDICATOR Load the indicator on an active chart (see here if you don't know how). The default configuration displays:  • The ​DV channel, without the reference or DV%-weighted lines.  • The Divergence channel, without its level lines.  • Bar colors using the state of the ​DV channel. The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative ​volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations. The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom. No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions. To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it. █  FEATURES The script's inputs are divided in four sections: "DV channel", "Divergence channel", "Other Visuals" and "Marker/Alert Conditions". The first setting is the selection method used to determine the intrabar precision, i.e., how many lower timeframe bars (intrabars) are examined in each chart bar. The more intrabars you analyze, the more precise the calculation of DV% results will be, but the less chart coverage can be covered by the script's calculations. DV Channel Here, you control the visibility and colors of the reference line, its weighted version, and the DV channel between them. You also specify what type of moving average you want to use as a reference line, its source and length. This acts as the ​DV channel's baseline. The DV%-weighted line is also a moving average of the same type and length as the reference line, except that it will be calculated from the DV%-weighted source used in the reference line. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative ​volume component of the weight. Divergence Channel This is where you control the appearance of the divergence channel and the key price values used in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices. In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it. Other Visuals You specify here:  • The method used to color chart bars, if you choose to do so.  • The display of a mark appearing above or below bars when a divergence occurs.  • If you want raw values to appear in tooltips when you hover above chart bars. The default setting does not display them, which makes the script faster.  • If you want to display an information box which by default appears in the lower left of the chart.   It shows which lower timeframe is used for intrabars, and the average number of intrabars per chart bar. Marker/Alert Conditions Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the ​DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions. Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger. Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens. Raw values The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of ​DV, DV%, the combined weight, and the intermediary values used to calculate them. █  INTERPRETATION The aim of the ​DV channel is to provide a visual representation of the buying/selling pressure calculated using delta ​volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals. The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the ​DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price. If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator: At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the ​DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level. █  LIMITATIONS  • The script will not work on symbols where no ​volume is available. An error will appear when that is the case.  • Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar   and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.   The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs   is where you control how the lower timeframe is calculated from the chart's timeframe. █  NOTES Volume Quality If you use ​volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday ​volume. For Pine Script™ Coders  • This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.  • I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,   namely those I only want to appear in the script's status line and in the Data Window.  • I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual. █  THANKS To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box. To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back. And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
Indicador Pine Script®
por LucF
51