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Attributable VolumeA volume indicator which calculates "Attributable Volume”, the portion of volume which contributed to the direction in which the candle moved. Attributable Volume is calculated as: Total volume excluding the "counter wick" volume. Where for a green (up) candle, the "counter wick" volume is the top wick volume. In theory, Attributable Volume should better represent the effort of directional thrust of each candle. By default, this indicator displays “Attributable RVOL”, but can be set to: Attributable RVOL RVOL Attributable Volume Volume Note: RVOL = Relative Volume, the current volume divided by the Volume moving average. RVOL can be used to identify major moves, and potential starts/ends to trends.
Wskaźnik Pine Script®
od capriole_charles
11
Relative Volume RVOL AlertsRelative Volume or RVOL is an indicator used to help determine the amount of volume change over a given period of time. It is often used to help traders determine how in-play a ticker is. General rule of thumb is the higher the RVOL, the more in play a stock is. I myself like to use it as a substitute of the volume indicator itself. Basic Calculation: Relative Volume = Current Volume / Average Volume Crossover Signals: Any time there is a volume spike which causes a crossover of the user set 'Smoothed Moving Average' or 'Threshold' a green/red dot will appear at the top. The color of the dot is dependent on closing of the candle. Therefore it does not necessarily mean price will continue in that direction since volume spikes often happen in peaks or valleys. Threshold: The level at which custom alerts and signal can be set. The higher the value, the more volume required to trigger. Built in Alerts: You can set custom alerts for the crossovers of the adjustable threshold, or the average RVOL band.
Wskaźnik Pine Script®
od oh92
36
Ord Volume [LucF]Tim Ord came up with the Ord Volume concept. The idea is similar to Weis Wave , except that where Weis Wave keeps a cumulative tab of each wave’s successive volume columns, Ord Volume tracks the wave's average volume . Features You can choose to distinguish the area’s colors when the average is rising/falling (default). You can show an EMA of the wave averages, which is different than an EMA on raw volume. You can show (default) the last wave’s ending average over the current wave, to help in comparing relative levels. You can change the length of the trend that needs to be broken for a new wave to start, as well as the price used in trend detection. Use Cases As with Weis Wave, what I look at first are three characteristics of the waves: their length, height and slope. I then compare those to the corresponding price movements, looking for discrepancies. For example, consecutive bearish waves of equal strength associated with lesser and lesser price movements are often a good indication of an impeding reversal. Because Ord Volume uses average rather than cumulative volume, I find it is often easier to distinguish what is going on during waves, especially exhaustion at the end of waves. Tim Ord has a method for entries and exits where he uses Ord Volume in conjunction with tests of support and resistance levels. Here are two articles published in 2004 where Ord explains his technique: pr.b5z.net n.b5z.net Note Being dependent on volume information as it is currently available in Pine, which does not include a practical way to retrieve delta volume information, the indicator suffers the same lack of precision as most other Pine-built volume indicators. For those not aware of the issue, the problem is that there is no way to distinguish the buying and selling volume (delta volume) in a bar, other than by looping through inside intervals using the security() function, which for me makes performance unsustainable in day to day use, while only providing an approximation of delta volume.
Wskaźnik Pine Script®
od LucF
7
Accumulation/Distribution Volume (ADV) [cI8DH]This is the simplified and optimized version of my original ADV indicator. It shows both regular volume bars and the accumulated/distributed (A/D) portion of them. The equation is elegant and intuitive. It calculates candle body to candle height ratio and multiplies it by volume: volume*(close-open)/(high-low). This is the building block of my three other indicators, ADL, ADP and ADMF. - The volume bars has two shades of green and red. The dark shade shows amount of A/D and the light shade shows total volume (what you see on a regular volume indicator). When money volume is enabled, volume is multiplied by price. As you can see in the chart below, trade volume in terms of USD was growing over the past years. - Blue line is the moving average of A/D and the orange line is for total volume. When "Baseline Chart" option is enabled, this moving average is identical to ADMF indicator which can be a powerful indicator for assessing buy/sell pressure as well as money flow and volume divergences. You can turn off volume bars (from style menu) for better visibility or you can use the below indicators. Please note that ADMF is now available as a part of ADP indicator as well and I recommend using the latter since ADP can also replace CMF and MFI indicators. - If you change the aggregation to cumulative (while having money volume disabled), the gray line becomes identical to On Balance Volume (OBV) and the blue line identical to my ADL indicator. The latter I would argue is more accurate than Chaikin's ADL, William's A/D and OBV.
Wskaźnik Pine Script®
od cI8DH
25
Volume Based Sampling [BackQuant]Volume Based Sampling What this does This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition: Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold. Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold. The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison. Why event-based sampling matters Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular: Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds. The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds. Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks. How the indicator works (plain English) Choose your bucket type Volume : accumulate volume until it meets a threshold. Dollar Bars : accumulate close × volume until it meets a dollar threshold. Pick the threshold rule Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars). Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar). Build the synthetic bar While a bucket fills, the script tracks: o_s: first price of the bucket (synthetic open) h_s: running maximum price (synthetic high) l_s: running minimum price (synthetic low) c_s: last price seen (synthetic close) v_s: cumulative native volume inside the bucket d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled) Emit a new sample Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity. Maintain a rolling history efficiently A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable. Compute synthetic-space statistics The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time. Inputs and options you will actually use Data Settings Sampling Method : Volume or Dollar Bars. Rolling Lookback : window used to estimate the dynamic threshold from recent activity. Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes. Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target. Max Stored Samples : cap on synthetic history to keep performance snappy. Use Ring Buffer : turn on to recycle storage when at capacity. Indicator Settings SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes. Visuals Show Synthetic Bars : plot the synthetic OHLC candles. Candle Color Mode : Green/Red: directional close vs open Volume Intensity: opacity scales with synthetic size Neutral: single color Adaptive: graded by how large the bucket was relative to threshold Mark new samples : drop a small marker whenever a new synthetic bar prints. Comparison & Research Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ. How to read it, step by step Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars. Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information. Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility. Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument. Quant finance background and citations Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars. Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management. AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca ) Practical use cases 1) Regime-aware moving averages The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation. 2) Breakout logic on “equal-information” samples The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets. 3) Volatility-adaptive backtests If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream). 4) Regime diagnostics Avg Bars per Sample trending down: activity is dense; expect larger realized ranges. Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk. Interpreting the info panel Method : your sampling choice and current threshold. Total Samples : how many synthetic bars have been formed. Current Vol/Dollar : how much of the next bucket is already filled. Bars in Bucket : native bars consumed so far in the current bucket. Avg Bars/Sample : lower means higher trading intensity. Avg Return / Return StdDev : return stats computed over synthetic closes . Research directions you can build from here Imbalance and run bars Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets Volume-time indicators Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes. Liquidity and toxicity overlays Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated. Dollar-risk parity sampling for portfolios Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering. Microstructure feature set Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca ) Tips for clean usage Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale. Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time. Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
Wskaźnik Pine Script®
od BackQuant
Breakout Volume 指标名称：Breakout Volume (BrkVol) 功能：本指标用于识别成交量异常放大，同时结合价格新高，帮助交易者发现潜在突破机会。 主要特性： 可调成交量均线周期（MA Length） 可调放量倍数（Volume Multiplier） 可调价格新高周期（Lookback High Length） 成交量柱颜色区分：绿色=阳线放量，红色=阴线放量，灰色=无信号 蓝色均量阈值线，可直观比较放量情况 出现成交量突破 + 新高时，图表上显示绿色三角形标记 支持提醒功能，可在条件触发时收到通知 使用建议： 调整参数以适应不同品种和时间周期 可结合趋势、支撑阻力位使用，避免假信号 适合快速发现短线或中长线突破机会 English Description Name: Breakout Volume (BrkVol) Function: This indicator detects unusual volume spikes combined with new highs in price, helping traders identify potential breakout opportunities. Key Features: Adjustable moving average period (MA Length) for volume Adjustable volume multiplier (Volume Multiplier) Adjustable lookback period for price highs (Lookback High Length) Color-coded volume bars: Green = bullish candle with volume breakout, Red = bearish candle with volume breakout, Gray = normal volume Blue threshold line (volume MA × multiplier) for easy comparison Green triangle marker appears when both volume breakout and new high conditions are met Supports alerts for real-time notifications Usage Tips: Adjust parameters to suit different symbols and timeframes Combine with trend or support/resistance levels to reduce false signals Useful for spotting short-term or medium/long-term breakout opportunities
Wskaźnik Pine Script®
od jlysqs
Volume Footprint Anomaly Scanner [PhenLabs]📊 PhenLabs - Volume Footprint Anomaly Scanner (VFAS) Version: PineScript™ v6 📌 Description The PhenLabs Volume Footprint Anomaly Scanner (VFAS) is an advanced Pine Script indicator designed to detect and highlight significant imbalances in buying and selling pressure within individual price bars. By analyzing a calculated "Delta" – the net difference between estimated buy and sell volume – and employing statistical Z-score analysis, VFAS pinpoints moments when buying or selling activity becomes unusually dominant. This script was created not in hopes of creating a "Buy and Sell" indicator but rather providing the user with a more in-depth insight into the intrabar volume delta and how it can fluctuate in unusual ways, leading to anomalies that can be capitalized on. This indicator helps traders identify high-conviction points where strong market participants are active, signaling potential shifts in momentum or continuation of a trend. It aims to provide a clearer understanding of underlying market dynamics, allowing for more informed decision-making in various trading strategies, from identifying entry points to confirming trend strength. 🚀 Points of Innovation ●​ Z-Score for Delta Analysis : Utilizes statistical Z-scores to objectively identify statistically significant anomalies in buying/selling pressure, moving beyond simple, arbitrary thresholds. ●​ Dynamic Confidence Scoring : Assigns a multi-star confidence rating (1-4 stars) to each signal, factoring in high volume, trend alignment, and specific confirmation criteria, providing a nuanced view of signal strength. ●​ Integrated Trend Filtering : Offers an optional Exponential Moving Average (EMA)-based trend filter to ensure signals align with the broader market direction, reducing false positives in ranging markets. ●​ Strict Confirmation Logic : Implements specific confirmation criteria for higher-confidence signals, including price action and a time-based gap from previous signals, enhancing reliability. ●​ Intuitive Info Dashboard : Provides a real-time summary of market trend and the latest signal's direction and confidence directly on the chart, streamlining information access. 🔧 Core Components ●​ Core Delta Engine : Estimates the net buying/selling pressure (bar Delta) by analyzing price movement within each bar relative to volume. It also calculates average volume to identify bars with unusually high activity. ●​ Anomaly Detection (Z-Score) : Computes the Z-score for the current bar's Delta, indicating how many standard deviations it is from its recent average. This statistical measure is central to identifying significant anomalies. ●​ Trend Filter : Utilizes a dual Exponential Moving Average (EMA) cross-over system to define the prevailing market trend (uptrend, downtrend, or range), providing contextual awareness. ●​ Signal Processing & Confidence Algorithm : Evaluates anomaly conditions against trend filters and confirmation rules, then calculates a dynamic confidence score to produce actionable, contextualized signal information. 🔥 Key Features ●​ Advanced Delta Anomaly Detection : Pinpoints bars with exceptionally high buying or selling pressure, indicating potential institutional activity or strong market conviction. ●​ Multi-Factor Confidence Scoring : Each signal comes with a 1-4 star rating, clearly communicating its reliability based on high volume, trend alignment, and specific confirmation criteria. ●​ Optional Trend Alignment : Users can choose to filter signals, so only those aligned with the prevailing EMA-defined trend are displayed, enhancing signal quality. ●​ Interactive Signal Labels : Displays compact labels on the chart at anomaly points, offering detailed tooltips upon hover, including signal type, direction, confidence, and contextual information. ●​ Customizable Bar Colors : Visually highlights bars with Delta anomalies, providing an immediate visual cue for strong buying or selling activity. ●​ Real-time Info Dashboard : A clean, customizable dashboard shows the current market trend and details of the latest detected signal, keeping key information accessible at a glance. ●​ Configurable Alerts : Set up alerts for bullish or bearish Delta anomalies to receive real-time notifications when significant market pressure shifts occur. 🎨 Visualization Signal Labels : * Placed at the top/bottom of anomaly bars, showing a "📈" (bullish) or "📉" (bearish) icon. * Tooltip: Hovering over a label reveals detailed information: Signal Type (e.g., "Delta Anomaly"), Direction, Confidence (e.g., "★★★☆"), and a descriptive explanation of the anomaly. * Interpretation: Clearly marks actionable signals and provides deep insights without cluttering the chart, enabling quick assessment of signal strength and context. ●​ Info Dashboard : * Located at the top-right of the chart, providing a clean summary. * Displays: "PhenLabs - VFAS" header, "Market Trend" (Uptrend/Downtrend/Range with color-coded status), and "Direction | Conf." (showing the last signal's direction and star confidence). * Optional "💡 Hover over signals for details" reminder. * Interpretation: A concise, real-time summary of the market's pulse and the most recent high-conviction event, helping traders stay informed at a glance. 📖 Usage Guidelines Setting Categories ⚙️ Core Delta & Volume Engine ●​ Minimum Volume Lookback (Bars) ○​ Default: 9 ○​ Range: Integer (e.g., 5-50) ○​ Description: Defines the number of preceding bars used to calculate the average volume and delta. Bars with volume below this average won't be considered for high-volume signals. A shorter lookback is more reactive to recent changes, while a longer one provides a smoother average. 📈 Anomaly Detection Settings Delta Z-Score Anomaly Threshold ○​ Default: 2.5 ○​ Range: Float (e.g., 1.0-5.0+) ○​ Description: The number of standard deviations from the mean that a bar's delta must exceed to be considered a significant anomaly. A higher threshold means fewer, but potentially stronger, signals. A lower threshold will generate more signals, which might include less significant events. Experiment to find the optimal balance for your trading style. 🔬 Context Filters Enable Trend Filter ○​ Default: False ○​ Range: Boolean (True/False) ○​ Description: When enabled, signals will only be generated if they align with the current market trend as determined by the EMAs (e.g., only bullish signals in an uptrend, bearish in a downtrend). This helps to filter out counter-trend noise. ●​ Trend EMA Fast ○​ Default: 50 ○​ Range: Integer (e.g., 10-100) ○​ Description: The period for the faster Exponential Moving Average used in the trend filter. In combination with the slow EMA, it defines the trend direction. ●​ Trend EMA Slow ○​ Default: 200 ○​ Range: Integer (e.g., 100-400) ○​ Description: The period for the slower Exponential Moving Average used in the trend filter. The relationship between the fast and slow EMA determines if the market is in an uptrend (fast > slow) or downtrend (fast < slow). 🎨 Visual & UI Settings ●​ Show Info Dashboard ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Toggles the visibility of the dashboard on the chart, which provides a summary of market trend and the last detected signal. ●​ Show Dashboard Tooltip ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Toggles a reminder message in the dashboard to hover over signal labels for more detailed information. ●​ Show Delta Anomaly Bar Colors ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Enables or disables the coloring of bars based on their delta direction and whether they represent a significant anomaly. ●​ Show Signal Labels ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Controls the visibility of the “📈” or “📉” labels that appear on the chart when a delta anomaly signal is generated. 🔔 Alert Settings ​ Alert on Delta Anomaly ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: When enabled, this setting allows you to set up alerts in TradingView that will trigger whenever a new bullish or bearish delta anomaly is detected. ✅ Best Use Cases ​ Early Trend Reversal / Continuation Detection: Identify strong surges of buying/selling pressure at key support/resistance levels that could indicate a reversal or the continuation of a strong move. ●​ Confirmation of Breakouts: Use high-confidence delta anomalies to confirm the validity of price breakouts, indicating strong conviction behind the move. ●​ Entry and Exit Points: Pinpoint precise entry opportunities when anomalies align with your trading strategy, or identify potential exhaustion signals for exiting trades. ●​ Scalping and Day Trading: The indicator’s sensitivity to intraday buying/selling imbalances makes it highly effective for short-term trading strategies. ●​ Market Sentiment Analysis: Gain a real-time understanding of underlying market sentiment by observing the prevalence and strength of bullish vs. bearish anomalies. ⚠️ Limitations Estimated Delta: The script uses a simplified method to estimate delta based on bar close relative to its range, not actual order book or footprint data. While effective, it’s an approximation. ●​ Sensitivity to Z-Score Threshold: The effectiveness heavily relies on the `Delta Z-Score Anomaly Threshold`. Too low, and you’ll get many false positives; too high, and you might miss valid signals. ●​ Confirmation Criteria: The 4-star confidence level’s “confirmation” relies on specific subsequent bar conditions and previous confirmed signals, which might be too strict or specific for all contexts. ●​ Requires Context: While powerful, VFAS is best used in conjunction with other technical analysis tools and price action to form a comprehensive trading strategy. It is not a standalone “buy/sell” signal. 💡 What Makes This Unique Statistical Rigor: The application of Z-score analysis to bar delta provides an objective, statistically-driven way to identify true anomalies, moving beyond arbitrary thresholds. ●​ Multi-Factor Confidence Scoring: The unique 1-4 star confidence system integrates multiple market dynamics (volume, trend alignment, specific follow-through) into a single, easy-to-interpret rating. ●​ User-Friendly Design: From the intuitive dashboard to the detailed signal tooltips, the indicator prioritizes clear and accessible information for traders of all experience levels. 🔬 How It Works 1. Bar Delta Calculation: ●​ The script first estimates the “buy volume” and “sell volume” for each bar. This is done by assuming that volume proportional to the distance from the low to the close represents buying, and volume proportional to the distance from the high to the close represents selling. ●​ How this contributes: This provides a proxy for the net buying or selling pressure (delta) within that specific price bar, even without access to actual footprint data. 2. Volume & Delta Z-Score Analysis: ●​ The average volume over a user-defined lookback period is calculated. Bars with volume less than twice this average are generally considered of lower interest. ●​ The Z-score for the calculated bar delta is computed. The Z-score measures how many standard deviations the current bar’s delta is from its average delta over the `Minimum Volume Lookback` period. ●​ How this contributes: A high positive Z-score indicates a bullish delta anomaly (significantly more buying than usual), while a high negative Z-score indicates a bearish delta anomaly (significantly more selling than usual). This identifies statistically unusual levels of pressure. 3. Trend Filtering (Optional): ●​ Two Exponential Moving Averages (Fast and Slow EMA) are used to determine the prevailing market trend. An uptrend is identified when the Fast EMA is above the Slow EMA, and a downtrend when the Fast EMA is below the Slow EMA. ●​ How this contributes: If enabled, the indicator will only display bullish delta anomalies during an uptrend and bearish delta anomalies during a downtrend, helping to confirm signals within the broader market context and avoid counter-trend signals. 4. Signal Generation & Confidence Scoring: ●​ When a delta Z-score exceeds the user-defined anomaly threshold, a signal is generated. ●​ This signal is then passed through a multi-factor confidence algorithm (`f_calculateConfidence`). It awards stars based on: high volume presence, alignment with the overall trend (if enabled), and a fourth star for very strong Z-scores (above 3.0) combined with specific follow-through candle patterns after a cooling-off period from a previous confirmed signal. ●​ How this contributes: Provides a qualitative rating (1-4 stars) for each anomaly, allowing traders to quickly assess the potential significance and reliability of the signal. 💡 Note: The PhenLabs Volume Footprint Anomaly Scanner is a powerful analytical tool, but it’s crucial to understand that no indicator guarantees profit. Always backtest and forward-test the indicator settings on your chosen assets and timeframes. Consider integrating VFAS with your existing trading strategy, using its signals as confirmation for entries, exits, or trend bias. The Z-score threshold is highly customizable; lower values will yield more signals (including potential noise), while higher values will provide fewer but potentially higher-conviction signals. Adjust this parameter based on market volatility and your risk tolerance. Remember to combine statistical insights from VFAS with price action, support/resistance levels, and your overall market outlook for optimal results.
Wskaźnik Pine Script®
od PhenLabs
3
Volume-Weighted Price MovementThe Volume-Weighted Price Movement (VWPM) indicator is an easy to read technical analysis tool that analyses how volume and price movement work together to drive market momentum. How It Works The VWPM indicator tracks two primary components: Bullish Movement (green line): Measures the upward price movement weighted by volume. When price closes above the open, this component calculates how much buying pressure exists by multiplying the price change (close - open) by the volume of that period. Bearish Movement (red line): Measures the downward price movement weighted by volume. When price closes below the open, this component calculates how much selling pressure exists by multiplying the price change (open - close) by the volume of that period. Bull-Bear Difference (lime/orange line): Shows the net momentum by subtracting bearish movement from bullish movement, providing an at-a-glance view of which force is dominant. The VWPM integrates volume data to identify whether price movements are backed by significant participation. A large price move with low volume carries less weight than the same move with high volume, providing a more accurate reflection of market strength. A shorter lookback period makes the indicator more responsive to recent price action, while a longer period smooths out market noise for trend identification. Interpretation Bullish Signals When the green line (bull movement) rises and stays above the red line When the Bull-Bear Difference line crosses above zero and maintains positive momentum Divergence between price making lower lows but the bull line making higher lows (hidden strength) Bearish Signals When the red line (bear movement) rises and stays above the green line When the Bull-Bear Difference line crosses below zero and maintains negative momentum Divergence between price making higher highs but the bull line making lower highs (hidden weakness) open source, if anyone makes the script better please let me know :)
Wskaźnik Pine Script®
od ahwelre21
1
Volume Flow OscillatorVolume Flow Oscillator Overview The Volume Flow Oscillator is an advanced technical analysis tool that measures buying and selling pressure by combining price direction with volume. Unlike traditional volume indicators, this oscillator reveals the force behind price movements, helping traders identify strong trends, potential reversals, and divergences between price and volume. Reading the Indicator The oscillator displays seven colored bands that fluctuate around a zero line: Three bands above zero (yellow) indicate increasing levels of buying pressure Three bands below zero (red) indicate increasing levels of selling pressure The central band represents the baseline volume flow Color intensity changes based on whether values are positive or negative Trading Signals The Volume Flow Oscillator provides several valuable trading signals: Zero-line crossovers: When multiple bands cross from negative to positive, potential bullish shift; opposite for bearish Divergences: When price makes new highs/lows but oscillator bands fail to confirm, signals potential reversal Volume climax: Extreme readings where outer bands stretch far from zero often precede reversals Trend confirmation: Strong expansion of bands in direction of price movement confirms genuine momentum Support/resistance: During trends, bands may remain largely on one side of zero, showing continued directional pressure Customization Adjust these key parameters to optimize the oscillator for your trading style: Lookback Length: Controls overall sensitivity (shorter = more responsive, longer = smoother) Multipliers: Adjust sensitivity spread between bands for different market conditions ALMA Settings: Fine-tune how the indicator weights recent versus historical data VWMA Toggle: Enable for additional smoothing in volatile markets Best Practices For optimal results, use this oscillator in conjunction with price action and other confirmation indicators. The multi-band approach helps distinguish between minor fluctuations and significant volume events that might signal important market turns.
Wskaźnik Pine Script®
od TheKaoticS
Volume Cluster Support & ResistanceVolume Cluster Support & Resistance This indicator identifies potential Support and Resistance (S/R) levels on the chart using Volume-Based Point of Control (POC) Clustering. It offers extensive customization for calculation parameters, display styles, and visualization options, including S/R zones, color gradients, and historical reaction markers. How It Works Volume Based S/R: Scans the specified Clustering Lookback period for "High Volume Bars", defined as bars where volume exceeds the average volume (over Volume Lookback Period) multiplied by the High Volume Threshold Multiplier. Calculates the Point of Control (POC) for each high-volume bar using hl2. Clusters these high-volume bar POCs: POCs within a proximity defined by Cluster Proximity (ATR) (Average True Range multiplier) are grouped together. Filters these clusters, requiring a Min Bars in Cluster to form a valid S/R zone. (Image showing the indicator being used on the Bitcoin 5min chart) The center price of valid clusters determines the S/R level. Clusters above the current price become potential Resistance, and those below become potential Support. Calculates the offset based on the most recent bar included in the cluster. Level Selection & Display: The indicator identifies multiple potential S/R levels. It then selects and displays the top Number of S/R Levels to Display support levels below the current price and resistance levels above the current price. (Image showing the indicator on the GBP/USD 5min chart) ATR Usage: The Average True Range (ta.atr(14)) is used in two key areas: Determining the proximity threshold for grouping POCs in the 'Volume Based' clustering (clusterProximityAtr). Calculating the width of the S/R zones when 'Use Zone Visualization' is enabled (zoneAtrMultiplier). Key Features & Components Dual Calculation Methods: Choose between Pivot-based S/R or Volume-based POC clustering. Volume Confirmation: Pivots require volume confirmation; Volume method directly analyzes high-volume bars. POC Clustering: Groups high-volume areas to identify significant price zones. Configurable Lookbacks: Adjust periods for volume averaging, pivot detection, and clustering analysis. Dynamic S/R Display: Shows a configurable number of the most relevant S/R levels relative to the current price. Optional Zone Visualization: Display levels as filled zones with configurable width (ATR-based), fill transparency, and border transparency. Includes a dashed center line. Optional Historical Reactions: Mark past price interactions (lows bouncing off support zones, highs rejecting from resistance zones) directly on the chart (Warning: Can significantly impact performance). Customizable Styling: Control line style (Solid, Dashed, Dotted), width, color (separate for Support & Resistance), and horizontal extension (None, Left, Right, Both). Price Labels: Toggle visibility of price labels next to each S/R level/zone. Visual Elements Explained S/R Lines/Zones: Plotted lines or filled zones representing calculated support and resistance levels. Color-coded for Support (default green) and Resistance (default magenta). Line/Zone Borders: Appearance controlled by Style settings (Style, Width, Extension). Can have a gradient color effect based on age if enabled. Zone Fills: Semi-transparent fills for zones (if enabled), with configurable transparency. Fill color matches the border color (including gradient effect if enabled). Zone Center Line: A thin, dashed line indicating the exact calculated S/R price within a zone. Price Labels: Text labels showing the exact price of the S/R level. Historical Reactions: Small dot markers appearing on historical bars where price potentially reacted to a displayed zone (only if Show Historical Reactions is enabled). Configuration Options Users can adjust the following parameters in the indicator settings: Calculation Method: Select "Pivot Based" or "Volume Based". Volume Zone Settings (Volume Based): Threshold multiplier, clustering lookback, cluster proximity (ATR), minimum bars per cluster. Display Options: Toggle S/R visibility, price tags, set the number of levels to show. Volume Settings: Volume lookback period, volume multiplier (for Pivot confirmation). Style Settings: Line style, width, extension, support/resistance text and line colors, enable gradient coloring, set gradient start/end colors. Zone Visualization: Enable/disable zones, set zone width (ATR multiplier), fill and border transparency, enable/disable historical reaction markers (performance warning). Interpretation Notes This indicator identifies potential areas of support and resistance based on historical price action and volume analysis. These levels are not guaranteed reversal points. The 'Volume Based' method focuses on areas where significant trading activity occurred, while the 'Pivot Based' method focuses on price turning points confirmed by volume. Use the displayed levels in conjunction with other technical analysis tools, price action patterns, and risk management strategies. Be mindful of the performance impact when enabling Show Historical Reactions, especially on longer timeframes or with large lookback periods. The default setting is false for optimal performance. The max_bars_back setting is optimized for performance; increasing it significantly may slow down chart loading. Risk Disclaimer Trading involves significant risk. This indicator is provided for analytical and educational purposes only and does not constitute financial advice or a trading recommendation. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose.
Wskaźnik Pine Script®
od sizzlinsoft
1
Volume Weighted Median Price (VWMP)The volume is indeed crucial for confirming price moves and understanding market conviction. While many traders are familiar with VWAP (Volume Weighted Average Price), this indicator introduces a lesser-known but powerful cousin: the Volume Weighted Median Price (VWMP). What is VWMP? Unlike VWAP, which calculates the average price weighted by volume over a period, VWMP identifies the median price level weighted by volume. Think of it this way: If you line up all the trades within a specific lookback period, sorted by price, and then start accumulating the volume traded at each price level, the VWMP is the price level where 50% of the total volume occurred below it, and 50% occurred above it. It essentially finds the "middle ground" of trading activity based on where the bulk of the volume actually traded, not just the average price. Key Difference: VWMP vs. VWAP VWAP: Volume Weighted Average Price. Sensitive to outliers (single large trades at extreme prices can skew the average). VWMP: Volume Weighted Median Price. More robust to outliers. It represents the price that splits the period's volume distribution in half. Because it uses the median, VWMP can sometimes provide a more stable or representative level of the "typical" price where significant volume is changing hands, especially in volatile markets or when large, anomalous trades occur. How to Interpret and Use VWMP in trading The VWMP plots as a line on your chart, similar to a moving average or VWAP. Here are a few ways traders might use it: Dynamic Support and Resistance: Like VWAP, the VWMP line can act as a dynamic level of interest. Watch how price interacts with the VWMP. Consistent acceptance above VWMP might suggest bullish control and potential support. Consistent rejection or acceptance below VWMP might indicate bearish control and potential resistance. Trend Filter / Confirmation: Uptrend: Look for price consistently staying above the VWMP line. Pullbacks to the VWMP that hold could offer entry opportunities. Downtrend: Look for price consistently staying below the VWMP line. Rallies to the VWMP that fail could present shorting opportunities. Use it to filter trades: Only take long trades if price is above VWMP, and short trades if below. Mean Reversion Potential (Use with Caution): When price extends significantly far away from the VWMP, some traders might look for potential reversion back towards this volume-based median level. Important: This should not be used in isolation. Always look for confirmation from other indicators (like RSI, Stochastics, or candlestick patterns) before trading counter-trend reversions. Confluence with Other Indicators: VWMP works best when combined with other analysis tools. Look for confluence: Does the VWMP align with a key Fibonacci level, a standard moving average, or a prior support/resistance zone? This confluence strengthens the level's potential significance. Considerations Lookback Period: The length input is crucial. A shorter period makes VWMP more responsive to recent action; a longer period makes it smoother and reflects longer-term volume distribution. Experiment to find what suits your timeframe and trading style. Lagging Nature: Like all indicators based on past data, VWMP is inherently lagging. It reflects past volume distribution, not the future. Market Context: Its effectiveness can vary depending on the market conditions (trending vs. ranging) and the asset being traded.
Wskaźnik Pine Script®
od vsov
2
Market Session Boxes with Volume Delta [algo_aakash]This script highlights four key forex trading sessions — Tokyo, London, New York, and Sydney — by drawing color-coded boxes directly on the chart. For each session, it shows: High and low of the session Total volume traded Volume delta (bullish vs bearish pressure) Optional extension of session highs/lows into future candles Cleanly labeled time range and stats Users can: Select which sessions to display Customize session times (in UTC+0) Choose colors per session Toggle session labels and extension lines Use Case: Designed to help intraday and short-term traders visualize market rhythm, liquidity zones, and session-based volatility. The volume delta metric adds an extra layer of sentiment analysis. This tool works best on intraday timeframes like 15m, 30m, or 1H. Disclaimer: This indicator is for educational and visual analysis purposes. It does not constitute trading advice or guarantee results. Always conduct your own analysis before making trading decisions.
Wskaźnik Pine Script®
od algo_aakash
2
Volume 2x Average This script helps traders identify stocks or instruments experiencing unusually high trading volume compared to their average volume over a user-defined period. The key features include: 1. Volume 2x Average Filter: Highlights bars where the current volume is greater than twice the average volume for the selected period. 2. Dynamic Average Period: Allows users to specify the period for calculating the average volume (e.g., 1 day, 5 days, etc.). 3. Color-Coded Bars: • Green Bars: Indicate bullish candlesticks where the closing price is higher than the opening price. • Red Bars: Indicate bearish candlesticks where the closing price is lower than the opening price. 4. Optional Bar Visibility: Users can toggle the visibility of the highlighted volume bars, providing flexibility for clean chart analysis. 5. Average Volume Line: Plots the average volume as a blue line for reference. Use Case: This script is ideal for traders looking to identify potential breakouts, reversals, or key market movements driven by significant volume spikes. By dynamically adjusting the average period and toggling bar visibility, users can tailor the script to fit various trading strategies and timeframes. Inputs: 1. Show 2x Volume Bars: • Toggle to enable or disable the display of the highlighted volume bars. 2. Average Volume Period: • Specify the number of periods (e.g., 1 for 1 day, 5 for 5 days) to calculate the average volume. Disclaimer: This script is for educational purposes only and does not constitute financial advice. Use it alongside your analysis and trading strategy.
Wskaźnik Pine Script®
od ADXAE
Volume True Range (VTR) and Volume Average True Range (VATR)This indicator uses lower-timeframe cumulative volume delta (CVD) candles to calculate the Volume True Range (VTR) of your instrument. The VTR is calculated similarly to the traditional true range, but uses volume instead (no price is involved in the calculation other than in the lower timeframe bar delta assignments). I haven't seen this concept developed before on TradingView or frankly the Internet, but I thought it seemed fairly intuitive; we can calculate the lower timeframe volume delta candles, so it makes sense to calculate a volume true range, which could show divergences in volume and price. The VTR is calculated by the following code which uses the lower-timeframe CVD candles: volumeTR = math.max(cvd_high - cvd_low, math.abs(cvd_high - nz(cvd_close )), math.abs(cvd_low - nz(cvd_close ))) The Volume Average True Range (VATR) is calculated by taking the RMA of the VTR, similarly to the ATR. I would like to thank TradingView for the calculation of up/down intrabar volumes, which I referenced from their 'CVD - Cumulative Volume Delta Candles' indicator. How to Use The VTR and VATR can be used to identify price-volume trends and volatility divergences. A strong VTR (above the VATR of your specified length) can indicate the start or continuation of a trend, which you can identify via the VTR color (determined via price candle colors). Similarly, a rising VATR with most VTR bars of a specific color (green or red) will show that volume is moving in a specific price direction. Additionally, the VATR plotted next to the ATR of the same length will show you volume volatility divergences. A strong VATR next to a muted/flat ATR indicates strong volume movement, which price might follow in the upcoming bars. Or, for trend reversals, a decreasing ATR after a strong trend combined with a rising VATR of the opposite trend may show a possible reversal. Hope you all enjoy this. -wbburgin * Quick note: lower timeframe analysis returns only so much data. If you are on a high timeframe and the indicator is showing only a limited amount of bars, raise the lower timeframe (but still keep it below your current timeframe) so that the arrays can return more bars for you.
Wskaźnik Pine Script®
od wbburgin
[EVI]Enhanced Volume IndicatorEnglish Version Enhanced Volume Indicator (EVI) The Enhanced Volume Indicator (EVI) is an advanced yet user-friendly tool designed to measure and visualize the strength of market volume using the statistical power of standard deviation. By offering a clear and dynamic representation of volume fluctuations, the EVI enables traders to effortlessly identify significant market movements and potential trading opportunities. Key Features: Sophisticated Volume Strength Assessment: The EVI leverages the standard deviation of historical candle volumes to evaluate and categorize the current volume intensity. This sophisticated methodology allows for the precise detection of when current volume levels significantly deviate from their historical norms. Intuitive Visual Cues: Volume bars are color-coded to represent varying levels of volume intensity, ranging from very weak to very strong. This intuitive visual differentiation aids traders in quickly grasping the market's underlying volume dynamics at a glance. Proactive Threshold Alerts: Stay ahead of the market with the EVI’s built-in alert functionality. Receive real-time notifications of critical volume changes, ensuring that you remain informed of significant market developments even while away from your trading desk. How It Works: The EVI calculates the Simple Moving Average (SMA) and Standard Deviation (STDEV) of volume over a user-defined period (default set to 500 candles). Utilizing these statistical measures, the indicator establishes various volume thresholds by applying predefined multipliers for extreme, high, medium, and low volume levels. The volume bars are then color-coded based on these thresholds, providing traders with a clear visual representation of volume intensity. Additionally, horizontal lines indicating these thresholds are plotted on the chart for easy reference, further enhancing the indicator’s usability. This version of the EVI is particularly suited for traders who prefer simplicity and efficiency over complexity, making it an excellent alternative to the more intricate Volume Delta Divergence (VDD) indicator. The EVI delivers powerful volume insights in a straightforward and accessible manner, ensuring that even those who favor less complexity can benefit from robust volume analysis. Ideal for traders seeking to capture major market moves or pinpoint potential reversals, the Enhanced Volume Indicator (EVI) is a must-have tool. Elevate your trading strategy with the EVI and ensure you never miss out on significant volume breakouts again. Korean Version Enhanced Volume Indicator (EVI) Enhanced Volume Indicator (EVI)는 시장 볼륨의 강도를 표준편차의 통계적 힘을 사용하여 측정하고 시각화하는 고급적이면서도 사용하기 쉬운 도구입니다. EVI는 볼륨 변동의 명확하고 동적인 표현을 제공하여 트레이더가 중요한 시장 움직임과 잠재적인 거래 기회를 쉽게 식별할 수 있도록 합니다. 주요 기능: 정교한 볼륨 강도 평가: EVI는 이전 캔들의 볼륨 표준편차를 활용하여 현재 볼륨 강도를 평가하고 분류합니다. 이 정교한 방법론은 현재 볼륨 수준이 과거 평균에서 크게 벗어날 때를 정확하게 감지할 수 있도록 합니다. 직관적인 시각적 신호: 볼륨 바는 매우 약한 것부터 매우 강한 것까지 다양한 볼륨 강도를 나타내는 색상으로 코딩됩니다. 이 직관적인 시각적 차별화는 트레이더가 시장의 기본적인 볼륨 동향을 한눈에 쉽게 파악할 수 있도록 돕습니다. 선제적 임계값 알림: EVI의 내장 알림 기능으로 시장을 앞서가십시오. 중요한 볼륨 변화에 대한 실시간 알림을 받아 거래 데스크를 떠나 있는 동안에도 중요한 시장 발전에 대해 계속 정보를 얻을 수 있습니다. 작동 원리: EVI는 사용자가 정의한 기간(기본값은 500 캔들)의 볼륨에 대한 단순 이동평균(SMA)과 표준편차(STDEV)를 계산합니다. 이러한 통계적 측정을 활용하여, 인디케이터는 극단적, 높은, 중간 및 낮은 볼륨 수준에 대한 사전 정의된 배수를 적용하여 다양한 볼륨 임계값을 설정합니다. 그런 다음, 볼륨 바는 이러한 임계값을 기반으로 색상 코딩되어 트레이더에게 볼륨 강도의 명확한 시각적 표현을 제공합니다. 또한, 이러한 임계값을 나타내는 수평선이 차트에 참조용으로 표시되어 인디케이터의 사용성을 더욱 향상시킵니다. 이 버전의 EVI는 복잡함보다는 단순함과 효율성을 선호하는 트레이더에게 특히 적합하여, 더 복잡한 Volume Delta Divergence (VDD) 인디케이터에 대한 훌륭한 대안이 됩니다. EVI는 강력한 볼륨 정보를 간단하고 접근 가능한 방식으로 제공하여, 복잡함을 싫어하는 사용자도 강력한 볼륨 분석의 혜택을 누릴 수 있도록 합니다. 주요 시장 움직임을 포착하거나 잠재적인 반전을 식별하려는 트레이더에게 이상적인 Enhanced Volume Indicator (EVI)는 반드시 갖추어야 할 도구입니다. EVI로 트레이딩 전략을 강화하고 중요한 볼륨 돌파를 절대 놓치지 마세요.
Wskaźnik Pine Script®
od rotax380
2
VITAMIN: Volume Insight Trend Analyzer - Multilayered INdicator)Meet VITAMIN, an indicator created mainly to function as a confirmation volume indicator to integrate into strategies as a signal filter, but it can also be used as a general-purpose indicator to enhance market analysis through volume trend insights. The name was choses to help with recall, with VITAMIN short for "Volume Insight Trend Analyzer - Multilayered INdicator". The indicator is grounded in the net volume calculation, using TradingView's built-in Net Volume indicator as a starting point, and taking as a series of simple Moving Averages based on the Net Volume data. Core Features: Multilayered Analysis: VITAMIN layers multiple moving averages on top of net volume—volume adjusted for price movement direction—to filter market noise and reveal clearer volume trends. Foundation in Net Volume: The starting point is net volume, which combines volume magnitude with the direction of price changes, offering a baseline for momentum analysis. Visual Trend Indicators: The indicator uses green and red shading between its moving average layers and a reference zero line to visually denote bullish (green) and bearish (red) volume trends, simplifying the interpretation of market sentiment. Utility of VITAMIN: Volume plays a crucial role in market analysis, but interpreting volume directly can be complex due to inherent market noise. Net Volume in particular features a great deal of noise, as a sequence of spikes and dips from bar to bar. My purpose with this indicator was to separate the signal from the noise. VITAMIN's multilayered moving averages provide a smoother, more interpretable trend line that distinguishes significant market moves from short-term fluctuations. Applications: Confirming Trends: VITAMIN can help validate price trends. A price uptrend paired with a bullish volume trend indicated by VITAMIN may reinforce the strength of the movement. Identifying Divergences: Observing discrepancies between price trends and VITAMIN's volume trends can highlight potential reversals or continuations. Assessing Market Sentiment: The overall trend and colour shading within VITAMIN aims to provide insight into market sentiment. VITAMIN is designed for simplicity and effectiveness, aiming to provide deeper insights into volume trends, supporting more informed decisions. Like any indicator featuring moving averages, and averages of those averages, there is a built-in lag to this indicator, but this is the trade-off for removing noise from the signal. Adjust the user inputs to suit your time frame.
Wskaźnik Pine Script®
od ThousandX_Trader