Volume Pressure Histogram (Normalized)Overview
The Volume Pressure Histogram is designed to help traders analyze buying and selling pressure using real volume data.
Unlike traditional momentum indicators that rely solely on price movements, VPH measures the strength of bullish and bearish volume, providing insights into market participation.
How It Works
The histogram represents the difference between buying and selling volume over a selected period.
Green bars indicate strong buying pressure, while red bars signal strong selling pressure.
Lime and orange bars (if enabled) represent moderate buying and selling activity.
A white signal line smooths volume data to track momentum shifts over time.
How to Use It
Trend Confirmation: When price is rising and green bars increase, the trend is supported by real buying pressure.
Reversal Detection: If price makes a new high but green bars shrink, buyers may be losing strength.
Breakout Strength: A breakout with rising volume pressure confirms strong participation, while weak volume pressure suggests a potential fake move.
Divergence Signals: If price moves higher, but volume pressure declines, the move may lack conviction and could reverse.
Customization Options
Threshold Multiplier (default = 20) controls when green and red bars appear, filtering out weaker signals.
Log Scale Option helps normalize extreme volume spikes.
Adjustable Smoothing Length for both the histogram and signal line.
Why Use This Indicator
Provides a volume-based approach to analyzing market trends.
Can confirm or contradict price movements, helping identify strong or weak trends.
Works across multiple markets, including stocks, forex, crypto, and indices.
This indicator is designed for educational and informational purposes only and does not provide financial advice.
Search in scripts for "volume"
Dollar Volume DivergenceOverview
The Dollar Volume Profile and Divergence Indicator is a comprehensive tool designed to analyze both standard volume and dollar volume activity in the market. It visualizes dollar volume (calculated as close * volume) and highlights divergences between dollar volume and standard volume, providing insights into underlying market dynamics that aren't immediately visible with traditional volume analysis.
Key Features
Dollar Volume Profile:
Plots dollar volume as a histogram.
Highlights high-dollar volume bars in green (indicating significant trading activity).
Includes an optional average dollar volume line to show trends over time.
Volume-Divergence Analysis:
Calculates the difference (divergence) between dollar volume and standard volume.
Displays positive divergence (dollar volume > standard volume) in green and negative divergence (dollar volume < standard volume) in red.
Supports both histogram and boolean point visualization for divergence, offering flexibility in how the data is displayed.
Customizable Visualization:
Users can toggle between a Histogram or Boolean Points for divergence visualization.
Option to enable or disable the dollar volume profile and its average line.
Adjustable length parameter to fine-tune sensitivity for averages and divergences.
Use Cases
Volume Confirmation: Analyze whether dollar volume aligns with standard volume to confirm strong price movements.
Divergence Detection: Identify areas where dollar volume and standard volume deviate, which may signal potential reversals or exhaustion in a trend.
Market Strength Analysis: Assess the intensity of trading activity at specific price levels to determine key areas of interest.
How It Works
Dollar Volume Calculation:
Dollar volume is derived by multiplying the close price by the volume for each bar.
A moving average of dollar volume is used to determine relative activity levels.
Divergence Calculation:
The script calculates the difference between dollar volume and standard volume.
Positive values indicate that dollar volume exceeds standard volume, suggesting institutional or larger-scale trades.
Negative values highlight areas of lower dollar volume compared to standard volume.
Visualization:
The Dollar Volume Profile is displayed as a histogram, with high-dollar volume bars highlighted.
Divergences are overlaid as either a histogram or triangle markers, depending on user preference.
Average lines (optional) provide smoother trends for both dollar volume and divergence.
Customization Options
Length: Adjusts the period for moving average calculations.
Plot Style: Choose between Histogram or Boolean Points for divergence visualization.
Toggle Visibility: Enable or disable the Dollar Volume Profile and its average line for a cleaner chart.
Why Use This Indicator?
This indicator bridges the gap between traditional volume analysis and dollar volume analysis, offering deeper insights into market behavior. By combining these metrics, traders can detect nuanced patterns, validate trends, and identify divergences that may signal market turning points or continuation.
Best Practices
Use this indicator in conjunction with price action and other technical indicators for confirmation.
Look for divergences in high-dollar volume areas to detect potential trend reversals.
Analyze the interaction between the dollar volume profile and divergence histogram for a comprehensive view of market activity.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Volume Based Price Prediction [EdgeTerminal]This indicator combines price action, volume analysis, and trend prediction to forecast potential future price movements. The indicator creates a dynamic prediction zone with confidence bands, helping you visualize possible price trajectories based on current market conditions.
Key Features
Dynamic price prediction based on volume-weighted trend analysis
Confidence bands showing potential price ranges
Volume-based candle coloring for enhanced market insight
VWAP and Moving Average overlay
Customizable prediction parameters
Real-time updates with each new bar
Technical Components:
Volume-Price Correlation: The indicator analyzes the relationship between price movements and volume, Identifies stronger trends through volume confirmation and uses Volume-Weighted Average Price (VWAP) for price equilibrium
Trend Strength Analysis: Calculates trend direction using exponential moving averages, weights trend strength by relative volume and incorporates momentum for improved accuracy
Prediction Algorithm: combines current price, trend, and volume metrics, projects future price levels using weighted factors and generates confidence bands based on price volatility
Customizable Parameters:
Moving Average Length: Controls the smoothing period for calculations
Volume Weight Factor: Adjusts how much volume influences predictions
Prediction Periods: Number of bars to project into the future
Confidence Band Width: Controls the width of prediction bands
How to use it:
Look for strong volume confirmation with green candles, watch for prediction line slope changes, use confidence bands to gauge potential volatility and compare predictions with key support/resistance levels
Some useful tips:
Start with default settings and adjust gradually
Use wider confidence bands in volatile markets
Consider prediction lines as zones rather than exact levels
Best applications of this indicator:
Trend continuation probability assessment
Potential reversal point identification
Risk management through confidence bands
Volume-based trend confirmation
Volume StatsDescription:
Volume Stats displays volume data and statistics for every day of the year, and is designed to work on "1D" timeframe. The data is displayed in a table with columns being months of the year, and rows being days of each month. By default, latest data is displayed, but you have an option to switch to data of the previous year as well.
The statistics displayed for each day is:
- volume
- % of total yearly volume
- % of total monthly volume
The statistics displayed for each column (month) is:
- monthly volume
- % of total yearly volume
- sentiment (was there more bullish or bearish volume?)
- min volume (on which day of the month was the min volume)
- max volume (on which day of the month was the max volume)
The cells change their colors depending on whether the volume is bullish or bearish, and what % of total volume the current cell has (either yearly or monthly). The header cells also change their color (based either on sentiment or what % of yearly volume the current month has).
This is the first (and free) version of the indicator, and I'm planning to create a "PRO" version of this indicator in future.
Parameters:
- Timezone
- Cell data -> which data to display in the cells (no data, volume or percentage)
- Highlight min and max volume -> if checked, cells with min and max volume (either monthly or yearly) will be highlighted with a dot or letter (depending on the "Cell data" input)
- Cell stats mode -> which data to use for color and % calculation (All data = yearly, Column = monthly)
- Display data from previous year -> if checked, the data from previous year will be used
- Header color is calculated from -> either sentiment or % of the yearly volume
- Reverse theme -> the table colors are automatically changed based on the "Dark mode" of Tradingview, this checkbox reverses the logic (so that darker colors will be used when "Dark mode" is off, and lighter colors when it's on)
- Hide logo -> hides the cat logo (PLEASE DO NOT HIDE THE CAT)
Conclusion:
Let me know what you think of the indicator. As I said, I'm planning to make a PRO version with more features, for which I already have some ideas, but if you have any suggestions, please let me know.
Enhanced volumeHi all!
This indicator plots volume at the bottom of the chart and the volume Moving Average (with the choice of Simple Moving Average (SMA) (default), Exponential Moving Average (EMA) and Volume Weighted Moving Average (VWMA)) and desired length (defaults to 20). It then changes the transparency of the volume (and the bars body) based on the close and the volume. It also changes the bar transparency. All these visual changes can be configured in the "Style" tab in the indicators settings.
The opacity will be high when the close is considered to be a "Strong close (%)" and has a bigger volume than any of the red closing in the last 10 bars. This "Strong close (%)" is defaulted to 50 which means that the bar needs to close equal or higher than 50% of the bar.
You also have an option to include red bars, which are excluded by default.
This indicator can help you to spot bars with relevant volume and find reversals.
I hope this explanation makes sense, let me know otherwise. Also let me know if you have any suggestions on improvements.
Best of trading luck!
Volume-Supported Linear Regression Trend TableThe "Volume-Supported Linear Regression Trend Table" (VSLRT Table) script helps traders identify buy and sell opportunities by analyzing price trends and volume dynamics across multiple timeframes. It uses linear regression to calculate the trend direction and volume strength, visually representing this data with color-coded signals on the chart and in a table. Green signals indicate buying opportunities, while red signals suggest selling, with volume acting as confirmation of trend strength. Traders can use these signals for both short and long positions, with additional risk management and multi-timeframe validation to enhance the strategy.
------------------------------------------------------------------------------
To use the "Volume-Supported Linear Regression Trend Table" (VSLRT Table) script in a trading strategy, you would incorporate it into your decision-making process to identify potential buy and sell opportunities based on the trend and volume dynamics. Here’s how you could apply it for trading:
1. Understanding the Key Elements:
Trend Direction (Slope of Price): The script uses linear regression to assess the trend direction of the price. If the price slope is positive, the asset is likely in an uptrend; if it's negative, the asset is in a downtrend.
Volume-Backed Signals: The buy or sell signal is not only based on the price trend but also on volume. Volume is crucial in validating the strength of a trend; large volume often indicates strong interest in a direction.
2. Interpreting the Table and Signals:
The table displayed at the bottom-right of your TradingView chart gives you a clear overview of the trends across different timeframes:
Trend Colors:
Green hues (e.g., ccol11, ccol12, etc.): Indicate a buying trend supported by volume.
Red hues (e.g., ccol21, ccol22, etc.): Indicate a selling trend supported by volume.
Gray: Indicates weak or unclear trends where no decisive direction is present.
Buy/Sell Signals:
The script plots triangles on the chart:
Upward triangle below the bar signals a potential buy.
Downward triangle above the bar signals a potential sell.
3. Building a Trading Strategy:
Here’s how you can incorporate the script’s information into a trading strategy:
Buy Signal (Long Entry):
Look for green triangles (indicating a buy signal) below a bar.
Confirm that the trend color in the table for the relevant timeframe is green, which shows that the buy signal is supported by strong volume.
Ensure that the price is in an uptrend (positive slope) and that volume is increasing on upward moves, as this indicates buying interest.
Execute a long position when these conditions align.
Sell Signal (Short Entry):
Look for red triangles (indicating a sell signal) above a bar.
Confirm that the trend color in the table for the relevant timeframe is red, which shows that the sell signal is supported by strong volume.
Ensure that the price is in a downtrend (negative slope) and that volume is increasing on downward moves, indicating selling pressure.
Execute a short position when these conditions align.
Exiting the Trade:
Exit a long position when a sell signal (red triangle) appears, or when the trend color in the table shifts to red.
Exit a short position when a buy signal (green triangle) appears, or when the trend color in the table shifts to green.
4. Multi-Timeframe Confirmation:
The script provides trends across multiple timeframes (tf1, tf2, tf3), which can help in validating your trade:
Short-Term Trading: Use shorter timeframes (e.g., 3, 5 minutes) for intraday trades. If both short and medium timeframes align in trend direction (e.g., both showing green), it strengthens the signal.
Longer-Term Trading: If you are trading on a higher timeframe (e.g., daily or weekly), confirm that the lower timeframes align with your intended trade direction.
5. Adding Risk Management:
Stop-Loss: Place stop-losses below recent lows (for long trades) or above recent highs (for short trades) to minimize risk.
Take Profit: Consider taking profit at key support/resistance levels or based on a fixed risk-to-reward ratio (e.g., 2:1).
Example Strategy Flow:
For Long (Buy) Trade:
Signal: A green triangle appears below a candle (Buy signal).
Trend Confirmation: Check that the color in the table for your selected timeframe is green, confirming the trend is supported by volume.
Execute Long: Enter a long trade if the price is trending upward (positive price slope).
Exit Long: Exit when a red triangle appears above a candle (Sell signal) or if the trend color shifts to red in the table.
For Short (Sell) Trade:
Signal: A red triangle appears above a candle (Sell signal).
Trend Confirmation: Check that the color in the table for your selected timeframe is red, confirming the trend is supported by volume.
Execute Short: Enter a short trade if the price is trending downward (negative price slope).
Exit Short: Exit when a green triangle appears below a candle (Buy signal) or if the trend color shifts to green in the table.
6. Fine-Tuning:
Backtesting: Before trading live, use TradingView’s backtesting features to test the strategy on historical data and optimize the settings (e.g., length of linear regression, timeframe).
Combine with Other Indicators: Use this strategy alongside other technical indicators (e.g., RSI, MACD) for better confirmation.
In summary, the script helps identify trends with volume support, giving more confidence in buy/sell decisions. Combining these signals with risk management and multi-timeframe analysis can create a solid trading strategy.
Volume Flow Oscillator (VFO)I created the Volume Flow Oscillator (VFO) to explore the intricate interplay between volume and price movements over a specific lookback period. This tool contrasts volumes that move in sync with the price against those that move in opposition, signaling potential overbought or oversold territories. To determine the direction, I compare the current price to its value four periods back, shedding light on underlying bullish or bearish momentum. The VFO enriches my analysis and decision-making by offering a detailed perspective on how volume trends correlate with price changes. Its color-coded visuals are crucial for highlighting optimal trading points based on volume dynamics.
Volume-Trend Sentiment (VTS) [AlgoAlpha]Introducing the Volume-Trend Sentiment by AlgoAlpha, a unique tool designed for traders who seek a deeper understanding of market sentiment through volume analysis. This innovative indicator offers a comprehensive view of market dynamics, blending volume trends with price action to provide an insightful perspective on market sentiment. 🚀📊
Key Features:
1. 🌟 Dual Trend Analysis: This indicator combines the concepts of price movement and volume, offering a multi-dimensional view of market sentiment. By analyzing the relationship between the closing and opening prices relative to volume, it provides a nuanced understanding of market dynamics.
2. 🎨 Customizable Settings: Flexibility is at the core of this indicator. Users can adjust various parameters such as the length of the volume trend, standard deviation, and SMA length, ensuring a tailored experience to match individual trading strategies.
3. 🌈 Visual Appeal: With options to display noise, the main plot, and background colors, the indicator is not only informative but also visually engaging. Users can choose their preferred colors for up and down movements, making the analysis more intuitive.
4. ⚠️ Alerts for Key Movements: Stay ahead of market changes with built-in alert conditions. These alerts notify traders when the Volume-Trend Sentiment crosses above or below the midline, signaling potential shifts in market momentum.
How It Works:
The core of the indicator is the calculation of the Volume-Trend Sentiment (VTS). It is computed by subtracting a double-smoothed Exponential Moving Average (EMA) of the price-volume ratio from a single EMA of the same ratio. This method highlights the trend in volume relative to price changes.
volumeTrend = ta.ema((close - open) / volume, volumeTrendLength) - ta.ema(ta.ema((close - open) / volume, volumeTrendLength), volumeTrendLength)
To manage volatility and noise in the volume trend, the indicator employs a standard deviation calculation and a Simple Moving Average (SMA). This smoothing process helps in identifying the true underlying trend by filtering out extreme fluctuations.
standardDeviation = ta.stdev(volumeTrend, standardDeviationLength) * 1
smoothedVolumeTrend = ta.sma(volumeTrend / (standardDeviation + standardDeviation), smaLength)
A unique feature is the dynamic background color, which changes based on the sentiment level. This visual cue instantly communicates the market's bullish or bearish sentiment, enhancing the decision-making process.
getColor(volumeTrendValue) =>
sentimentLevel = math.abs(volumeTrendValue * 10)
baseTransparency = 60 // Base transparency level
colorTransparency = math.max(90 - sentimentLevel * 5, baseTransparency)
volumeTrendValue > 0 ? color.new(upColor, colorTransparency) : color.new(downColor, colorTransparency)
bgcolor(showBackgroundColor ? getColor(smoothedVolumeTrend) : na)
In summary, the Volume-Trend Sentiment by AlgoAlpha is a comprehensive tool that enhances market analysis through a unique blend of volume and price trends. Whether you're a seasoned trader or just starting out, this indicator offers valuable insights into market sentiment and helps in making informed trading decisions. 📈📉🔍🌐
Split VolumeThe Split Volume indicator displays 'Upwards' and 'Downwards' volume with an additional method for distributing 'split' candle volume.
A 'split' candle is a candle whose direction is...'Split'...since the open and close are equal. (Ex. Doji)
Upwards and Downwards Volume is tracked by comparing the Open and Closes of the Lower Timeframes.
If the Close is Greater-than the Open, we track the Volume as 'Upwards' Volume.
If the Close is Less-than the Open, we track the Volume as 'Downwards' Volume.
If the Close and Open are Equal, we assume that the Volume is an even split 50/50, and track it as such.
The indicator pulls data from lower timeframes to achieve more granular Open,Close,& Volume Data
Specifically:
<5m Timeframe: 1 Second LTF
<60m Timeframe: 5 Second LTF
<1D Timeframe: 1 Minute LTF
>1D Timeframe: 60m LTF
We have also included some nice-to-have features
50% Volume Line: This line splits each columns in half, this is used as quick reference to see exactly which side the volume is on.
High Volume Candle Identification: We are detecting bars with high relative volume and coloring them on the upper chart for use as important zones.
Status Line Readouts: The Status line for this indicator is formatted for simple reading. It Reads(Left-to-Right):Total Volume, Downwards Volume, 50% Value, Upwards Volume
Strategy - Relative Volume GainersStrategy - Relative Volume Gainers
Overview:
This trading strategy, called "Relative Volume Gainers," is designed for Long Entry opportunities in the stock market. The strategy aims to identify potential trading candidates based on specific technical conditions, including volume, price movements, and indicator alignments.
Strategy Rules:
The strategy is focused solely on Long Entry positions.
The volume for the current trading day must be greater than or equal to the volume of the previous day.
The percentage change in price must be greater than or equal to 2.5%.
The Last Traded Price (LTP) must be greater than or equal to the Exponential Moving Average (EMA) 200.
The Relative Volume for the current trading day (calculated over the last 30 days) must be greater than or equal to the Simple Moving Average (SMA) of Relative Volume over the same 30 days.
The current candle on the chart should be Green or Bullish, indicating positive price movement.
The price difference between bid and ask prices should be kept to a minimum.
It's recommended to also analyze market depth for better insights.
Strategy Requirements:
Add the Exponential Moving Average (EMA) 200 to your trading chart.
This strategy can be applied on charts of any timeframe.
For intraday trading, particularly for early entry, consider using a 1-minute timeframe.
It is advisable to create a screener to identify potential trades in real-time market conditions.
Risk Warning:
Stocks that meet the strategy criteria might exhibit high volatility and a high beta, making them inherently risky to trade. Exercise caution and adhere to predetermined risk management strategies.
Determine your trading quantity based on your entry price and stop loss in order to manage risk effectively.
Quantity Calculation Formula:
Quantity calculation is crucial to manage risk and position sizing. The following formulas can be used based on your trading scenario:
Quantity with Leverage:
Quantity = (((Using Capital / 100) * Risk Percent) / (Entry Price - Stop Loss)) * Leverage
Eg: Quantity = (((10000 / 100) * 0.2) / (405.5 - 398.5)) * 5
Quantity = 14
Risk = Rs.100 (Rs.100 is 1% of Rs.10000. So the risk is 1%, means we lose only Rs.100 when the SL is hit. If SL is increased the Quantity will get reduced to maintain a fixed risk of Rs.100)
Quantity without Leverage:
Quantity = (((Using Capital / 100) * Risk Percent) / (Entry Price - Stop Loss))
Note:
Always stay informed about market conditions and be prepared for potential rapid price movements when trading stocks that meet the strategy criteria. Strictly adhere to your predefined risk management strategy to safeguard your capital.
OSPL Volume [Community Edition]NSE:BANKNIFTY1!
This indicator is based on the concepts popularized by @OptionsScalper123 "Siva" of OiPulse. His ideology Is that large moves come after high volume candles. For Nifty, high volume is considered to be a candle above 125k volume and for BankNifty it’s 50k.
This indicator allows you to cut the noise and focus only on the high volume candle. It shows high volume candle in a brighter shade and lower volume candles in a less visible shade.
You can set the minimum volume threshold limit for Nifty and BankNifty. The indicator smartly recognizes which index you are using it in and uses the respective threshold volume limit.
All colors are customizable.
Thanks for Siva for all the ideas and wonderful products he has given to the community
Thanks to all the wonderful Pinescipters for developing awesome indicators and keeping the source open.
The source code of this indicator is just a few lines. Hope you can use it in your projects and learn something from this just how I learned from other scripts.
Any changes or updates needed in this indicator, please suggest. I was thinking some kind of alerts can be added when volume crosses the threshold. Let me know.
Boost/like this indicator and comment if you find this useful. Cheers and happy trading!!!
Normalized Volume Rate of ChangeThis indicator is designed to help traders gauge changes in volume dynamics and identify potential shifts in buying or selling pressure. By normalizing the volume rate of change and comparing it to moving averages of itself, it offers valuable insights into market trends and can assist in making informed trading decisions.
Calculation:
The indicator calculates the Volume Rate of Change (VROC) by measuring the percentage change in volume over a specified length. This calculation provides a relative measure of how quickly the volume is increasing or decreasing. It then normalizes the VROC to a range of -1 to +1 by scaling it based on the highest and lowest values observed within the specified length. This normalization allows for easy comparison of the current VROC value with historical levels, enabling traders to assess the intensity of volume fluctuations.
Interpretation:
The main plot of the indicator displays the normalized VROC values as columns. The color of each column provides valuable information about the relationship between the VROC and the moving averages. Lime-colored columns indicate that the VROC is above both moving averages, suggesting increased buying pressure and potential bullish sentiment. Conversely, fuchsia-colored columns indicate that the VROC is below both moving averages, suggesting increased selling pressure and potential bearish sentiment. Yellow-colored columns indicate that the VROC is between the two moving averages, reflecting a period of consolidation or indecision in the market.
To further enhance interpretation, the indicator includes two moving averages. The Aqua line represents the faster moving average (MA1), and the Orange line represents the slower moving average (MA2). These moving averages provide additional context by smoothing out the VROC values and highlighting the overall trend. Traders can observe the interaction between the moving averages and the VROC to identify potential crossovers and assess the strength of trend reversals or continuations.
Colors:
-- Lime : The lime color is used to represent high volume rate of change above both moving averages. This color indicates a potentially bullish market sentiment, suggesting that buyers are dominant.
-- Fuchsia : The fuchsia color is used to represent low volume rate of change below both moving averages. This color indicates a potentially bearish market sentiment, suggesting that sellers are dominant.
-- Yellow : The yellow color is used to represent the volume rate of change between the two moving averages. This color reflects a transitional phase where neither buyers nor sellers have a clear advantage, signaling a period of consolidation or indecision in the market.
To provide additional visual cues for potential trade signals, the indicator includes lime-colored arrows below the price chart when there is a crossover upwards (MA1 crossing above MA2). This lime arrow indicates a potential bullish signal, suggesting a favorable time to consider long positions. Similarly, fuchsia-colored arrows are displayed above the price chart when there is a crossover downwards (MA1 crossing below MA2), signaling a potential bearish signal and suggesting a favorable time to consider short positions.
Applications:
This indicator offers various applications in trading strategies, including:
-- Trend Identification : By observing the relationship between the normalized VROC and the moving averages, traders can identify potential shifts in market trends. Lime-colored columns above both moving averages indicate a strong bullish trend, suggesting an opportunity to capitalize on upward price movements. Conversely, fuchsia-colored columns below both moving averages indicate a strong bearish trend, suggesting an opportunity to profit from downward price movements. Yellow-colored columns between the moving averages indicate a period of consolidation or uncertainty, signaling a potential trend reversal or continuation.
-- Confirmation of Price Moves : The indicator's ability to reflect volume dynamics in relation to the moving averages can help traders validate price moves. When significant price movements are accompanied by lime-colored columns (indicating high volume rate of change above both moving averages), it adds confirmation to the bullish sentiment. Similarly, fuchsia-colored columns accompanying downward price movements validate the bearish sentiment. This confirmation can enhance traders' confidence in the reliability of price moves.
-- Trade Timing : The indicator's moving average crossovers and the presence of arrows provide timing signals for trade entries and exits. Lime arrows appearing below the price chart signal potential long entry opportunities, indicating a bullish market sentiment. Conversely, fuchsia arrows appearing above the price chart suggest potential short entry opportunities, indicating a bearish market sentiment. These signals can be used in conjunction with other technical analysis tools to improve trade timing and increase the probability of successful trades.
Parameter Adjustments:
Traders can adjust the length of the VROC and the moving averages according to their trading preferences and timeframes. Longer VROC lengths provide a broader view of volume dynamics over an extended period, making it suitable for assessing long-term trends. Shorter VROC lengths offer a more sensitive measure of recent volume changes, making it suitable for shorter-term analysis. Similarly, adjusting the lengths of the moving averages can help adapt the indicator to different market conditions and trading styles.
Limitations:
While the indicator provides valuable insights, it has some limitations that traders should be aware of:
-- False Signals : Like any technical indicator, false signals can occur. During periods of low liquidity or in choppy markets, the indicator may generate misleading signals. It is essential to consider other indicators, price action, and fundamental analysis to confirm the signals before taking any trading actions.
-- Lagging Nature : Moving averages inherently lag behind the price action and volume changes. As a result, there may be a delay in the generation of signals and capturing trend reversals. Traders should exercise patience and avoid solely relying on this indicator for immediate trade decisions. Combining it with other indicators and tools can provide a more comprehensive picture of market conditions.
In conclusion, this indicator offers valuable insights into volume dynamics and trend analysis. By comparing the normalized VROC with moving averages, traders can identify shifts in buying or selling pressure, validate price moves, and improve trade timing. However, it is important to consider its limitations and use it in conjunction with other technical analysis tools to form a well-rounded trading strategy. Additionally, thorough testing, experimentation, and customization of the indicator's parameters are recommended to align it with individual trading preferences and market conditions.
[potatoshop] Volume Profile lower timeframeThis script is a volume profile that displays the volume of transactions in price blocks over a recent period of time.
For a more detailed representation, OHCLV values on the time frame lower than the time zone on the chart were called and expressed.
Low time frames are adjustable.
You can adjust the number of blocks and the most recent time period that you want to view.
Although it cannot be compared to the volume indicators provided for paid users of Trading-View, it has functioned by displaying transactions that are difficult to find on open source.
Displays the amount traded in each block and the percentage of the total over a given period.
POC represents the middle value of the block with the highest transaction volume as a line.
TPOC represents the block that stayed the longest regardless of the volume of transaction.
The reversal line appears when you determine the trading advantage of the rising and falling closing on a block basis and then have a different value from the neighboring blocks.
(I didn't mean it much, but I just put it in for fun.)
It represents the total volume of transactions traded in each block, and there are also check boxes in the settings window that represent the volume of transactions that closed higher and closed lower.
You can specify the color of each block.
The highest and lowest values for the set period and the total sum of each block are displayed at the bottom of the box.
Because it was made using a lot of arrays, the total transaction volume was marked separately to check the value.
When expressing the price block according to the trading volume percentage, it was a pity that the minimum pixel was 1 bar, so it could not be expressed delicately.
Although set to bar_time in Box properties xloc, 1 bar was actually the minimum unit of the X-axis value.
The logic used to place the transaction volume for each block is as follows.
1. Divide the difference between the high and low values of 1 LTF bar by the transaction volume .
2. Find the percentage of this LTF bar within each block.
3. Multiply the ratio by the transaction volume again.
4. Store the value in each block cell.
Below are the codes of the people I referred to this time.
1. ‘Time & volume point of control (TPOC & VPOC)’ by quantifytools
2. ‘Volume Profile ’ by LuxAlgo
3. ‘Volume Profile and Volume Indicator by DGT’ by dgtrd
The script is for informational and educational purposes only.
이 스크립트는 최근 일정 기간동안의 거래량을 가격 블록단위로 표시해 주는 볼륨 프로화일입니다.
좀 더 자세한 표현을 위해 차트상의 시간대보다 낮은 시간 프레임상의 OHCLV 값들을 호출하여 표현하였습니다.
낮은 시간 프레임은 조절 가능합니다..
보고 싶은 최근 일정 기간과 블럭 갯수를 조절할 수 있습니다.
트뷰 유료 사용자들을 위해 제공하는 지표와는 비교할 수는 없지만, 오픈 소스상에서는 찾기 힘든 거래량을 표시해 기능을 넣었습니다.
각 블럭에서 거래되었던 양 과 주어진 기간 동안의 총량 대비 퍼센트를 표시해 줍니다.
POC는 거래량이 가장 많았던 블럭의 중간값을 라인으로 표현해 줍니다.
TPOC는 거래량에 상관없이 가장 오랜 시간 머물렸던 블럭을 표현해 줍니다.
반전선은 블럭 단위로 상승 마감과 하락 마감의 거래량 우세를 결정한 뒤, 이웃 블럭들하고 다른 값을 가질 때 나타납니다.
(어떤 뜻을 갖고 만든 건 아니고 그냥 재미로 넣어 보았습니다.)
각 블럭에서 거래되었던 총거래량을 표현해 주며, 또한 설정창에서 상승 마감한 거래량과 하락 마감한 거래량을 표현하는 체크 박스가 있습니다.
각 블럭의 색깔을 지정하실 수 있습니다.
설정된 기간 동안의 최고값과 최저값, 각 블럭을 합친 총량을 박스 하단에 표시해 두었습니다.
어레이를 많이 사용하여 만들었기 때문에 값의 확인을 위해 전체 거래량을 따로 표시하였습니다.
가격 블럭을 거래량 퍼센트에 따라 표현할 때, 최소 픽셀이 1bar 이어서 섬세하게 표현 할 수 없어 안타까웠습니다.
박스 속성을 xloc.bar_time 로 설정하였지만 실제로는 1 bar가 X축 값의 최소 단위였습니다.
각 블록 별로 거래량을 배치 할 때 쓰인 로직은 다음과 같습니다.
1. 1 LTF bar의 하이 와 로우 값의 차이를 거래량으로 나누어 줍니다.
2. 각 블록 안에서 이 LTF bar가 차지 하는 비율을 구합니다.
3. 그 비율에 다시 거래량을 곱해 줍니다.
4. 그 값을 각 블록 셀에 저장해 줍니다.
밑에 제가 이번에 참고한 분들의 코드들입니다.
1. ‘Time & volume point of control (TPOC & VPOC)’ by quantifytools
2. ‘Volume Profile ’ by LuxAlgo
3. ‘Volume Profile and Volume Indicator by DGT’ by dgtrd
Relative Volume (rVol), Better Volume, Average Volume ComparisonThis is the best version of relative volume you can find a claim which is based on the logical soundness of its calculation.
I have amalgamated various volume analysis into one synergistic script. I wasn't going to opensource it. But, as one of the lucky few winners of TradingClue 2. I felt obligated to give something back to the community.
Relative volume traditionally compares current volume to prior bar volume or SMA of volume. This has drawbacks. The question of relative volume is "Volume relative to what?" In the traditional scripts you'll find it displays current volume relative to the last number of bars. But, is that the best way to compare volume. On a daily chart, possibly. On a daily chart this can work because your units of time are uniform. Each day represents a full cycle of volume. However, on an intraday chart? Not so much.
Example: If you have a lookback of 9 on an hourly chart in a 24 hour market, you are then comparing the average volume from Midnight - 9 AM to the 9 AM volume. What do you think you'll find? Well at 9:30 when NY exchanges open the volume should be consistently and predictably higher. But though rVol is high relative to the lookback period, its actually just average or maybe even below average compared to prior NY session opens. But prior NY session opens are not included in the lookback and thus ignored.
This problem is the most visibly noticed when looking at the volume on a CME futures chart or some equivalent. In a 24 hour market, such as crypto, there are website's like skew can show you the volume disparity from time of day. This led me to believe that the traditional rVol calculation was insufficient. A better way to calculate it would be to compare the 9:30 am 30m bar today to the last week's worth of 9:30 am 30m bars. Then I could know whether today's volume at 9:30 am today is high or low based on prior 9:30 am bars. This seems to be a superior method on an intraday basis and is clearly superior in markets with irregular volume
This led me to other problems, such as markets that are open for less than 24 hours and holiday hours on traditional market exchanges. How can I know that the script is accurately looking at the correct prior relevant bars. I've created and/or adapted solutions to all those problems and these calculations and code snippets thus have value that extend beyond this rVol script for other pinecoders.
The Script
This rVol script looks back at the bars of the same time period on the viewing timeframe. So, as we said, the last 9:30 bars. Averages those, then divides the: . The result is a percentage expressed as x.xxx. Thus 1.0 mean current volume is equal to average volume. Below 1.0 is below the average and above 1.0 is above the average.
This information can be viewed on its own. But there are more levels of analysis added to it.
Above the bars are signals that correlate to the "Better Volume Indicator" developed by, I believe, the folks at emini-watch and originally adapted to pinescript by LazyBear. The interpretation of these symbols are in a table on the right of the indicator.
The volume bars can also be colored. The color is defined by the relationship between the average of the rVol outputs and the current volume. The "Average rVol" so to speak. The color coding is also defined by a legend in the table on the right.
These can be researched by you to determine how to best interpret these signals. I originally got these ideas and solid details on how to use the analysis from a fellow out there, PlanTheTrade.
I hope you find some value in the code and in the information that the indicator presents. And I'd like to thank the TradingView team for producing the most innovative and user friendly charting package on the market.
(p.s. Better Volume is provides better information with a longer lookback value than the default imo)
Credit for certain code sections and ideas is due to:
LazyBear - Better Volume
Grimmolf (From GitHub) - Logic for Loop rVol
R4Rocket - The idea for my rVol 1 calculation
And I can't find the guy who had the idea for the multiples of volume to the average. Tag him if you know him
Final Note: I'd like to leave a couple of clues of my own for fellow seekers of trading infamy.
Indicators: indicators are like anemometers (The things that measure windspeed). People talk bad about them all the time because they're "lagging." Well, you can't tell what the windspeed is unless the wind is blowing. anemometers are lagging indicators of wind. But forecasters still rely on them. You would use an indicator, which I would define as a instrument of measure, to tell you the windspeed of the markets. Conversely, when people talk positively about indicators they say "This one is great and this one is terrible." This is like a farmer saying "Shovels are great, but rakes are horrible." There are certain tools that have certain functions and every good tool has a purpose for a specific job. So the next time someone shares their opinion with you about indicators. Just smile and nod, realizing one day they'll learn... hopefully before they go broke.
How to forecast: Prediction is accomplished by analyzing the behavior of instruments of measure to aggregate data (using your anemometer). The data is then assembled into a predictive model based on the measurements observed (a trading system). That predictive model is tested against reality for it's veracity (backtesting). If the model is predictive, you can optimize your decision making by creating parameter sets around the prediction that are synergistic with the implications of the prediction (risk, stop loss, target, scaling, pyramiding etc).
<3
Welkin Advanced Volume Overlay (for VSA)This is a PineScript translation of Welkin's Advanced Volume Indicator Overlay, originally written for ThinkOrSwim. This tool is designed to facilitate Volume Spread Analysis (VSA) by highlighting areas of above average volume alongside price movement.
This indicator does two things:
1. Plots lines that extend from candles of above average, high, and very high volume.
2. Colors in candles with colors indicating volume levels (when "Paint Candles With Volume Colors" is enabled).
Blue lines mark candles with Average volume, based on a 20 SMA.
Orange lines mark 2-sigma (2 times standard deviations higher) volume.
Magenta lines mark 3-sigma (3 times standard deviations higher) volume.
When enabled, gray colored candles indicate below average volume.
Yellow candles indicate volume that is relatively higher than the previous candle, default is 1.25x.
Crypto Multi Exchange Volume (CMEV)Crypto Multi Exchange Volume (CMEV) aggregates and plots trading volumes for supported cryptoasset pairs over multiple different cryptoasset exchanges. For developers looking for more information and for those who want to compile their own version of CMEV, please check out my GitHub (jakobpredin/crypto-multi-exchange-volume).
Configuration
CMEV comes with two configurable settings - whether base volume or quote volume is plotted and the length of the volume's EMA. By default, the base volume is used for plotting and the length of the EMA is set to 12 periods.
Use cases
The indicator was primarily developed in order to be able to chart using the trading pair with the longest available trading history. Due to the fast-changing preferences of where cryptoassets are traded, volumes tend to be very inconsistent and can give a distorted picture of a pairs history. For illustration, check out the SC-BTC pair from Poloniex using their native volume and compare it to the CMEV volume.
The other use case is to be able to spot divergences in volume. A great example here is bitcoin's 2019 rally where volumes from derivatives exchanges are at all time highs but volumes from retail/spot exchanges are not.
Supported exchanges
CMEV currently supports asset pairs from the following exchanges:
Binance
Bitfinex
Bitstamp
Bittrex
Coinbase
Gemini
Kraken
Poloniex
Limitations
Because of the fact that CMEV is pulling data from from multiple different exchanges and is computationally intensive it can take a couple of seconds to load while charting certain cryptoasset pairs.
Additionally, due to Tradingview's various limitations only a certain number of pairs can be supported at a time. By default, only pairs with a BTC or USD quote are supported and many non-unique pairs with consistently low trading volumes have been removed. For a full explanation, please refer to the docs in my GitHub (jakobpredin/crypto-multi-exchange-volume).
Future of the project
I plan on supporting pairs from more exchanges in the future as I see fit and as they become available for charting on Tradingview. Further, I may develop a strategy script using CMEV as its core indicator.
I welcome everybody from the community to help me extend the functionality of CMEV in order to make investing in cryptoassets more transparent for everybody.
Order Volume Blocks | Impossible USAF 1970Order Volume for Buy Sell Direction. Escape Reptilians USAF/USSF.
Heikin-Ashi Cumulative Volume Delta (CVD)Heikin-Ashi Cumulative Volume Delta (CVD)
This indicator combines Heikin-Ashi calculations with a Cumulative Volume Delta (CVD) to highlight trends in volume.
🔹 Heikin-Ashi Calculation – Smooths out price action to filter noise and provide a clearer trend signal.
🔹 Adjusted Volume Delta – Uses a dynamic threshold based on 10 SMA to reduce sensitivity and eliminate minor fluctuations, showing only meaningful shifts in buying and selling pressure.
🔹 Cumulative Volume Delta (CVD) – Accumulates positive or negative volume depending on Heikin-Ashi candle direction, offering insight into underlying order flow.
🔹 EMA Trend Filters – Two user-adjustable EMAs (default: 20 & 50) applied to CVD, color-coded to indicate trend bias (green/red for short EMA, blue/orange for long EMA).
🔹 Visual Enhancements –
CVD plotted as coloured dots (green = bullish, red = bearish, grey = neutral).
EMA lines dynamically change colour with trend direction.
Price bars are recoloured to match the delta (green = buy pressure, red = sell pressure, grey = neutral).
Useful for spotting divergences between price and volume flow, identifying hidden accumulation/distribution, and confirming trend continuation or reversal signals.
Moving Average Volume (20, 50)Shows two moving averages of volume, the 20 and 50 periods.
white bars in the background show volume, look for breaks of the target lines to confirm a breakout with volume
green shaded regions show how much higher the current volume is compared to historical volume
the greener the shade, the higher the multiple is (cap is 10x higher)
indicator is to be used with other breakout identifiers, or to help confirm the strength of a move out of an SAR level.
Up/Down Volume Delta %this script is based on FractalTrade_'s rendition of the up/down volume bars.
the shortcomings of that chart were that large volume bars caused the auto-scaling to shrink smaller volume bar displays to the point where much of the data was too small to see.
in this chart, the bars are displaying the percent delta out of the total bar volume. this way, large overall volume bars do not cause visual compression to everything else in the chart.
I've used color modulation to indicate relation to a relative volume point, so users can still tell when overall volume is large or small. when volume is under a moving average, the bars will display at a basis transparency. when the volume is over the average, the brightness will increase up to a specific ratio of volume defined by the user.
for example, if basis transparency is at 20, and the full opacity ratio is at 3, and the volume average is at 1M, a volume of 750k will display the delta bar at the basis transparency. a volume of 3M will achieve full brightness. a volume of 2M will display with moderate brightness (about 60%), but still stand out against other bars with basis transparency.
areas of the chart that are either increasing bar sizes or increasing in brightness can indicate directional force. when volume delta direction contradicts the candle direction, this can indicate support / resistance.
Volumetric Expansion/Contraction### Indicator Title: Volumetric Expansion/Contraction
### Summary
The Volumetric Expansion/Contraction (PCC) indicator is a comprehensive momentum oscillator designed to identify high-conviction price moves. Unlike traditional oscillators that only look at price, the PCC integrates four critical dimensions of market activity: **Price Change**, **Relative Volume (RVOL)**, **Cumulative Volume Delta (CVD)**, and **Average True Range (ATR)**.
Its primary purpose is to help traders distinguish between meaningful, volume-backed market expansions and noisy, unsustainable price action. It gives more weight to moves that occur in a controlled, low-volatility environment, highlighting potential starts of new trends or significant shifts in market sentiment.
### Key Concepts & Purpose
The indicator's unique formula synthesizes the following concepts:
1. **Price Change:** Measures the magnitude and direction of the primary move.
2. **Relative Volume (RVOL):** Confirms that the move is backed by significant volume compared to its recent average, indicating institutional participation.
3. **Cumulative Volume Delta (CVD):** Measures the underlying buying and selling pressure, confirming that the price move is aligned with the net flow of market orders.
4. **Inverse Volatility (ATR):** This is the indicator's unique twist. It normalizes the signal by the inverse of the Average True Range. This means the indicator's value is **amplified** when volatility (ATR) is low (signifying a controlled, confident expansion) and **dampened** when volatility is high (filtering out chaotic, less predictable moves).
The goal is to provide a single, easy-to-read oscillator that signals when price, volume, and order flow are all in alignment, especially during a breakout from a period of contraction.
### Features
* **Main Oscillator Line:** A single line plotted in a separate pane that represents the calculated strength of the volumetric expansion or contraction.
* **Zero Line:** A dotted reference line to easily distinguish between bullish (above zero) and bearish (below zero) regimes.
* **Visual Threshold Zones:** The background automatically changes color to highlight periods of significant strength:
* **Bright Green:** Indicates a "Strong Up Move" when the oscillator crosses above the user-defined upper threshold.
* **Bright Fuchsia:** Indicates a "Strong Down Move" when the oscillator crosses below the user-defined lower threshold.
### Configurable Settings & Filters
The indicator is fully customizable to allow for extensive testing and adaptation to different assets and timeframes.
#### Main Calculation Inputs
* **Price Change Lookback:** Sets the period for calculating the primary price change.
* **CVD Normalization Length:** The lookback period for normalizing the Cumulative Volume Delta.
* **RVOL Avg Volume Length:** The lookback for the simple moving average of volume, used to calculate RVOL.
* **RVOL Normalization Length:** The lookback period for normalizing the RVOL score.
* **ATR Length & Normalization Length:** Sets the periods for calculating the ATR and its longer-term average for normalization.
#### Weights
* Fine-tune the impact of each core component on the final calculation, allowing you to emphasize what matters most to your strategy (e.g., give more weight to CVD or RVOL).
#### External Market Filter (Powerful Feature)
* **Enable SPY/QQQ Filter for Up Moves?:** A checkbox to activate a powerful regime filter.
* **Symbol:** A dropdown to choose whether to filter signals based on the trend of **SPY** or **QQQ**.
* **SMA Period:** Sets the lookback period for the Simple Moving Average (default is 50).
* **How it works:** When enabled, this filter will **only allow "Strong Up Move" signals to appear if the chosen symbol (SPY or QQQ) is currently trading above its specified SMA**. This is an excellent tool for aligning your signals with the broader market trend and avoiding bullish entries in a bearish market.
#### Visuals
* **Upper/Lower Threshold:** Allows you to define what level the oscillator must cross to trigger the colored background zones, letting you customize the indicator's sensitivity.
***
**Disclaimer:** This tool is designed for market analysis and confluence. It is not a standalone trading system. Always use this indicator in conjunction with your own trading strategy, risk management, and other forms of analysis.
Volumetric Pivot Echo🔮 Volumetric Pivot Echo (VPE)
Future Price Projection Zones with Confidence Scoring
📘 Overview
The Volumetric Pivot Echo (VPE) is a next-generation leading indicator that identifies high-volume reversal points and echoes their price + time behavior into the future — giving you a visual forecast box that includes a confidence score, price range, and duration estimate.
It’s designed for swing and options traders who want forward guidance based on real structure, not just reactive signals.
⚙️ How It Works
Pivot Detection – Finds pivot highs/lows based on configurable bar structure.
Volume Confirmation – Only confirms pivots backed by strong volume (e.g., 1.5× average).
Echo Logic – Measures the price move and time it took to reach the pivot.
ATR Scaling – Adjusts projections based on current market volatility.
Confidence Score – Rates each projection (0–100%) based on structure match, volatility, and direction alignment.
📦 What Appears on Chart
Projection Box:
A forward-drawn rectangle from the current bar to the estimated future zone. The box's size and duration mirror the last valid momentum leg.
Box Label Text:
🔹 Range (projected move size)
⏱️ Duration (bars expected)
✅ Confidence %
VPH/VPL Markers:
Pivot highs and lows confirmed by volume, marked with “VPH” or “VPL”.
🎯 How to Trade with It
Use the box as a target zone for directional trades.
If price enters a box with >85% confidence, consider it a high-quality path projection.
Use with support/resistance confluence or entry systems.
Works especially well for swing trading, breakout setups, or options targeting.
🛠️ Recommended Settings
Box Transparency: Set Projection Up/Down Color to 90 (10% visible).
Text Color: Set to white for readability.
Volume Multiplier: Default 1.5x, increase in choppy markets.
Projection Duration: Start with 1.0x echo multiplier and fine-tune.
⏳ Timeframes & Accuracy
Timeframe Confidence Zones Most Reliable
15m – 1h Use 70–85% confidence scores
1h – 4h Sweet spot for balanced signals
1D – 1W Strongest historical echo tracking (>85% ideal)
✅ Key Features
Forward-looking, non-repainting logic
Clear visual projections — no guesswork
Confidence scoring built-in
ATR-adjusted — adapts to volatility
Works on any asset (stocks, crypto, FX)
🧠 Why It’s Unique
This is not a lagging oscillator or classic trend-following tool.
It’s a leading structure projection model — combining pivot behavior, volume intensity, and market volatility to sketch forward “echo zones” based on the past.
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
-----------------
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.
