Volume Delta Footprint Map (Zeiierman)█ Overview
Volume Delta Footprint Map (Zeiierman) is a lower-timeframe volume delta mapping indicator that visualizes where buying and selling pressure develops across both price and time.
The indicator uses lower-timeframe data to estimate the buying and selling activity occurring inside each chart candle. This activity is then mapped across the price levels where it occurred, creating a detailed view of how volume delta develops around price.
The result is a dynamic footprint-style map built directly around price.
Positive Delta stripes highlight areas where estimated buying activity dominated, while Negative Delta stripes highlight areas where estimated selling activity dominated. Stronger concentrations appear with greater visual intensity, allowing important areas of directional participation to stand out immediately.
█ How It Works
⚪ Lower-Timeframe Delta
The indicator analyzes lower-timeframe candles inside each chart candle to estimate directional volume delta.
Bullish candles contribute positive volume, while bearish candles contribute negative volume.
delta = direction × volume
⚪ Price Stripe Mapping
The calculation range is divided into horizontal Price Stripes. Each lower-timeframe candle distributes its delta across the price levels it traded through, creating the footprint-style map around price.
⚪ Delta Persistence
Delta is carried forward using exponential decay, allowing strong buying or selling pressure to remain visible while older activity gradually fades.
⚪ Stripe Strength
Each stripe is ranked by its relative delta magnitude and directional dominance.
strength = relativeDelta × 0.70 + deltaDominance × 0.30
Stronger concentrations appear more prominently, while weaker activity can be filtered using Minimum Stripe Strength.
⚪ Price Interaction
When enabled, sections of a stripe disappear once price trades through that level, making untouched delta areas easier to identify.
█ How to Use
⚪ Identify Buying Pressure
Strong Positive Delta stripes highlight price areas where lower-timeframe buying activity became dominant.
When several strong positive stripes develop around the same area, it can indicate concentrated bullish participation.
Monitor these areas for continuation, support, absorption, or renewed buying interest if price returns.
⚪ Identify Selling Pressure
Strong Negative Delta stripes highlight areas where lower-timeframe selling activity became dominant.
Clusters of negative delta can reveal areas where sellers became particularly active and may help identify rejection, resistance, bearish continuation, or renewed selling pressure.
⚪ Find Delta Concentrations
The strongest stripes are often more important than isolated weak readings.
A dense area containing several high-intensity stripes shows that directional activity repeatedly concentrated around a similar price region.
These areas can help traders identify where meaningful participation entered the market.
⚪ Find Trapped Buyers and Sellers
• Strong Positive Delta near a high followed by rejection can indicate buyers being absorbed by sellers. If price moves lower, those buyers may be forced to close their positions.
• Strong Negative Delta near a low followed by rejection can indicate sellers being absorbed by buyers. If price moves higher, those sellers may be forced to close their positions.
These areas can become especially important when the Delta concentration forms near key highs, lows, support, resistance, or liquidity zones.
⚪ Find Buyers and Sellers in Control
• Strong Negative Delta near a local swing high followed by continued downside can indicate sellers taking control and pushing price lower.
• Strong Positive Delta near a local swing low followed by continued upside can indicate buyers taking control and pushing price higher.
When price continues to move away from these areas, the Delta concentration can help confirm which side is controlling the move.
█ Settings
Automatic Lower Timeframe: Automatically selects an appropriate lower timeframe based on the active chart timeframe.
Manual Lower Timeframe: Selects the lower timeframe used for delta calculations when automatic selection is disabled.
Lookback Bars: Controls how many historical chart candles are included in the Delta Map.
Price Stripes: Sets the number of horizontal price levels used to construct the map. More stripes provide greater price resolution.
Delta Persistence: Controls how long accumulated buying or selling pressure remains active before gradually decaying.
Minimum Stripe Strength: Filters weaker delta concentrations. Higher values display only stronger directional activity.
Intensity Steps: Controls how many visual strength levels are used between weak and strong Delta stripes.
Create Gap When Price Touches Stripe: Removes sections of a stripe where price has already traded through its corresponding price level.
█ Important
Volume Delta Footprint Map estimates directional volume from lower-timeframe candle behavior and available volume data.
It does not require TradingView’s Footprint data and does not represent exchange-level bid and ask transactions.
Instead, it provides a universal footprint-style visualization designed to reveal where directional volume pressure developed, how strong that pressure was, and how its influence evolved across price and time.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
インジケーター
Simplified Footprint
If you've tried using volume footprint charts and been daunted with information overload, then this 'Simplified Footprint' indicator could be just what you need instead.
The POC and value area are overlayed onto regular candles on the chart.
The delta is plotted as an oscillator, but the fun part, also in the oscillator pane, are the imbalances.
A buy imbalance is shown as a green bar. If it goes upwards part way, then it is partly displaced by the price. Up to the top, and the price has fully displaced the imbalance.
If the green buy imbalance bar goes downwards however, then it's absorbed by passive sell orders. Part way, partly absorbed, all the way down, then fully absorbed.
The colour of the bars are also more transparent with low volume, and more opaque, as the volume in that direction increases.
The sell imbalances are red and do the opposite. Downwards, and they are displaced by price, upwards and they are absorbed.
To clearly see what's going on, you want the buy imbalance columns narrower than the sell imbalance columns (or vice versa).
These colours are all transparent to some degree so you can still read them when they overlay, but having the columns different widths, like piano keys, really makes reading them easier.
The absorptions are also marked with an 'A' to avoid any doubt.
Using this 'Simplified Footprint' indicator allows you to visually read all this footprint data at a glance, on a regular chart.
To make it even simpler, you can just view it as; imbalance bars and delta going upwards are bullish, going downwards, bearish.
Obviously you might want to pay attention to the absorptions, as they indicate passive participants having an effect on the market that you wouldn't otherwise see, as they don't move the price.
To use this indicator, you just need to configure the number of ticks per row, at the top of the settings.
This can be set with a number of ticks per row, or with an Average True Range (ATR), and can be scalable across different timeframes as well.
Probably the easiest way to use it is to select the timeframe on the chart you want to use, then get an ATR reading for that timeframe.
Then use that ATR value in the 'Simplified Footprint' settings.
If you scale the ticks for different timeframes, just specify the timeframe for which the ATR (or ticks) are calibrated for.
You will also probably need to tweak the narrow imbalance column width, depending on how zoomed into the chart you are, to get a piano key look for clarity.
Although the 'ticks per row' can be scaled across different timeframes, the scaling is an approximation and may not always work well, especially if the chart is far removed from the reference timeframe.
Ideally try not to scale too far from the reference timeframe, and re-calibrate nearer to the chart timeframe if necessary.
If in any doubt, check the Pine logs for configuration details and information about the last confirmed bar.
The last couple of lines, where it says:
Last confirmed bar, rows per footprint: x
Use the above 'rows per footprint' as calibration, which should be between about 3 and 30 ideally, although more may still be OK.
The rows per footprint can be checked against the actual volume footprint, and should be the same if the ticks per row are the same.
However, the default value the actual volume footprint uses is 'auto', which cannot be replicated in this script due to the platform design.
So if you want the same number of rows per footprint, and see exactly the same imbalances, you need to configure the actual volume footprint with a manual row size and set the ticks per row to the same number as in this 'Simplified Footprint' indicator.
インジケーター
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. インジケーター
Real-Time HTF Volume Footprint [BigBeluga]Real-time HTF Volume Footprint Profile is designed to provide a comprehensive view of higher timeframe volume profiles on your current chart. It overlays critical volume information from larger timeframes (like daily, weekly, or monthly) onto lower timeframe charts, helping you spot significant levels where volume is concentrated, acting as potential support or resistance.
🔵 Key Features:
HTF High and Low Zones: The indicator highlights the high and low of the chosen higher timeframe with clear zones, marking them with boxes. These zones help you see the broader market structure at a glance.
Volume Profile within HTF Range: Each higher timeframe range displays a volume profile, showing the distribution of volume at each price level. The most-traded price is highlighted in blue, known as the Point of Control (POC), indicating the price level with the highest activity.
Dynamic POC Option: Activate Dynamic POC to observe how the Point of Control shifts over time, giving insight into changing market interests and potential price direction.
Timeframe Flexibility: Select from daily, weekly, and monthly ranges (and more) to overlay their footprint profiles on your lower timeframe chart. This helps you tailor the indicator to the trading horizon that suits your strategy.
Info Table: Table shows a traders which timeframe is selected with last high and low of the selected timeframe
Visual Clarity with Custom Colors: The indicator uses subtle fills and distinct colors to ensure volume profile data integrates seamlessly into your chart without overwhelming other indicators or price data.
🔵 When to Use:
The HTF Volume Footprint Profile is essential for traders who want to bridge the gap between high-timeframe and intraday analysis. By visualizing HTF volume distribution on lower timeframes, this tool helps you:
Spot potential liquidity zones where price might react.
Identify support and resistance levels within HTF ranges.
Monitor PoC shifts that indicate changes in market behavior.
Track how current price aligns with significant volume clusters, providing a clear edge for volume-based strategies.
This indicator empowers traders to analyze lower timeframes with the context of higher timeframe volume profiles, providing a solid basis for identifying critical support and resistance levels shaped by large volume clusters. Whether you’re looking to spot liquidity zones or align your trades with broader market trends, HTF Volume Footprint Profile equips you with a strategic view. インジケーター
