Modified On Balance VolumeModified On Balance Volume (mOBV) Indicator
The "Modified On Balance Volume" (mOBV) indicator is designed to provide insights into the cumulative buying and selling pressure in the market, with modifications for close, high, and low prices. It incorporates On Balance Volume (OBV) calculations for each of these price types and further refines the analysis by applying Simple Moving Averages (SMA).
Key Features:
Calculation of OBV for Close, High, and Low Prices:
Traditional OBV values are computed for close, high, and low prices, reflecting the cumulative volume based on the sign of price changes.
SMA Smoothing:
Simple Moving Averages (SMA) are applied to the calculated OBV values, introducing a smoothing effect to highlight trends in the buying and selling pressure.
Relative Values for High and Low OBV:
The script transforms the OBV values for high and low prices into relative values compared to the SMA of the OBV for close prices.
User-Defined SMA Length:
Users can customize the length of the SMA through a parameter, allowing flexibility in adapting the indicator to different market conditions.
Error Handling:
The script includes a mechanism to detect if no volume data is provided by the data vendor, alerting users to potential issues with the dataset.
Visual Representation:
The calculated OBV values for close, high, and low prices, as well as the SMA of the OBV for close prices, are visually represented on the chart with customizable colors and transparency settings.
Usage Tips:
Rising values indicate increasing buying pressure, while falling values suggest increasing selling pressure.
Crosses between the OBV lines and the SMA line may be used to identify potential trend changes.
Note:
This script is intended for informational purposes and should be used in conjunction with other technical analysis tools for comprehensive market analysis.
Wskaźnik Wolumenu
Volume Heatmap 2024 | NXT2017 Christmas EditionHi big players around the world,
I wish you a merry christmas time.
Today I have a nice present for you: a new volume heatmap indicator for free using!
HISTORY
My first volume heatmap project got a lot of feedback and a big demand. You can find it here:
In this time pinescript version 4 was the newest one and I worked the first time with arrays.
Today we have pinescript version 5 and some new features. This is why I tried again with matrix function and the results are better than I expected.
HOW IT WORKS
The indicator calculates similar like the volume profile. It looks back and every volume where the close price is on the same row area, the volume will cumulated. How much rows the new chart view is showing, you can choose manually.
The mind behind this is to find high volume levels, where high volume catch the price in a range or get function as support/resistance line.
PICTURES
I hope it helps for your trading. You are welcome to give some comments.
Merry christmas and best regards
NXT2017
Volume Points of Control and No Control [NariCapitalTrading]Overview:
The "Volume Points of Control and No Control" (VPOC/VPONC) is a trading indicator/concept I designed to identify key price levels based on volume activity. It shows (on the price label on the y-axis) where there was the most (red) and the least (blue) volume over a specified lookback period. Read below for interpretation.
Key Features:
Identifies key price levels based on volume
Customizable lookback period and trade timeframe
Plots Volume Point of Control (VPOC) and Volume Point of No Control (VPONC)
Inputs and Calculations:
Custom Trade Timeframe: Allows users to set the desired timeframe for analysis (e.g., Daily, Weekly).
Lookback Period: Users can specify the period over which to analyze volume data.
VPOC Calculation: Determines the price level with the highest volume within the lookback period.
VPONC Calculation: Finds the price level with the lowest volume within the lookback period.
Indicator Usage:
The VPOC is considered a significant level where traders have shown the most interest, often acting as a strong support or resistance level. The VPONC, conversely, is a concept I made up. It represents a price level where 1) in an trending market, this price was accepted quickly, thus suggesting continuation of an trend. 2) price retracements will typically revisit thinly-traded price areas, the VPONC can sometimes signal an area of support in a downtrend.
Chart Representation:
VPOC Label: Plotted on the y-axis in red, indicating the price level with the highest volume.
VPONC Label: Displayed on the y-axis in blue, showing the price level with the least volume.
These labels are dynamically updated based on the user-specified lookback period and trade timeframe.
Footprint Chart + Volume ProfileFootprint charts provide volume information to candlestick charts. This indicator specifically provides the quantity of Market Orders executed on each side of the Order Book, thereby showing you the number of contracts that had hit the bid or the offer - and it does so on each bar.
In addition, it visualises a Volume Profile for each bar, providing you an even better visualisation, contrasted to that which renders the numbers alone.
This Footprint Chart calculates executed orders by getting the change in volume for every price move and pooling them on their corresponding "tick bucket". Their specific "tick bucket" is calculated on the nearest "tick", the size of which you will provide by setting the "Tick Size/ Increment" to whichever tick size you need .
For instance, volume changes on a price of 10.4 on a 1 tick Footprint Chart will be recorded as part of the nearest whole number(10), while on a 3 tick Footprint Chart, it will be recorded as part of 9 as it is the nearest multiple of 3.
Calculating the "tick bucket" this way is most conservative, however, if you would like it calculated differently — Having the volume changes recorded on the succeeding tick, e.g. Recording 10.4 as 12 on a 3 tick Footprint Chart. Simply set the "Tick Basket Assignment" to "Next Tick", While setting the same to "Previous Tick" records volume changes on the preceding tick. Default is "Nearest Tick".
How to read the Footprint Chart?
This Footprint Chart depicts a portion of the Depth of Market, arranged in such a way that the left side represents the bid, while the right side represents the ask. It is therefore natural that orders hitting the bid (Market Sells) are to be placed on the Left Side of the chart while orders hitting the ask (Market Buys) are to be placed on the Right Side. This way, you can visualise how the current price came to be, as well as observe with the several order flow analysis concepts and ideas you can apply. In summary, numbers on the Left represents Sell Orders and numbers on the Right represents Buy Orders.
If, however, you wish to see only the total volume that transacted within the bar, you may do so by toggling the "Split Buy and Sell" option.
Footprint Chart showing only the total volume:
Furthermore, this chart has its own candles, the width of which can be adjusted accordingly.
Volume Profile
This Footprint Chart offers a Stacked Volume Profile and an Unstacked Volume Profile, the former renders a Volume Profile which compares the buys from the sells, the better to visualise levels of activity, the latter renders a standard Volume Profile which shows the total volume that transacted on a price tick.
The type of Volume Profile that this Footprint Chart renders is similar to that of a Periodic Volume Profile, which renders Volume Profiles for every bar on the chart. Furthermore, the width of each Volume Profile bar of this Footprint Chart is relative to the largest volume transacted on the current session, the session beginning from the point you have opened the Footprint Chart until the 500th bar, capped for optimisational purposes, and shall adjust the session start accordingly once this limit had been reached. The Volume Profile bars' width will therefore change agreeably to each significant volume update, and sized relatively with that of the others.
Optimisation
This Footprint Chart utilises several drawings and calculations for attaining its visuals, the arrangement of which makes it more pleasing and easier to understand. Several optimisations have been implemented within the code, e.g. utilising queues, however, if you wish for it to be even more optimised, you can use an "Unstacked" Volume Profile, using larger tick sizes, as well as using 0 decimal placements for the Footprint Chart.
Furthermore, deselecting "Use Stacked Bars" will allow more boxes to be drawn, and will double the amount of boxes the volume profile can use.
Limitations
No historical tick data have yet been made available for use and so this Footprint Chart only has realtime data at its disposal. Historical footprints are therefore not rendered, the boundary of which is delineated by a vertical broken line.
Tips
This Footprint Chart is best viewed on a chart of its own, and it is therefore ideal to clear the chart of other candles by hiding them or utilising a line chart alternatively . In addition, stretch the time scale to its utmost capacity, the better to see properly the Volume Profile, as well as stretch the price scale to a proper height, the better to read the footprint volumes inscribed on the indicator.
Warnings
Changing settings may cause the Footprint Chart to reset. If, in case you have been accumulating Footprint Charts and wish to change some settings for the benefit of your charting, it is best to take a snapshot of your chart prior, for recent changes may cause resets to occur.
True VolumeThis indicator is designed to provide in-depth analysis of volume data from multiple sources and distinguish highly liquid candles by measuring the density of the volume. By focusing on the density and concentration of volume, rather than just the volume itself, it offers a more nuanced view of the market. This can be particularly beneficial in markets like cryptocurrencies, where understanding the role of market makers versus retail traders is crucial for strategic trading.
This is how it works:
Multiple Asset Integration:
Unlike standard volume indicators, True Volume allows the inclusion of up to four different assets (or the same asset from various exchanges) into its volume calculations. This feature provides a broader and more accurate total volume representation, essential in markets like cryptocurrencies where volume is dispersed across multiple exchanges.
Adjustable Time Anchors:
It offers various time anchor options, allowing traders to analyze volume data over different time periods or a specific amount of lookback candles. This flexibility helps in understanding volume trends over both short and long-term time frames.
Volume Density Analysis:
The core of this indicator is the innovative concept of Volume Density. It's calculated using a sigmoid function that normalizes the volume-to-price movement ratio in a unique way without needing a max cap or having the density column spike off the chart. This method helps in distinguishing between normal volume fluctuations and those that are unusually dense for the given price movement. This distinction is key in identifying potential market maker activities.
The Visuals:
The Volume Density is displayed in a unique way without compromising the original volume bars or cap the density. Infinite density can essentially be represented without having an infinitely large bar or caping out the density data. There's also two different color themes, optional bar color, and an option to flip the density bars up-side down for a different representation. Each of the original volume sources can be displayed separately as well. All colors as customizable as well for your own preference.
Price Volume Trend (PVT):
Included in this indicator is also the Price Volume Trend, which cumulatively measures the density delta, offering insights into the longer-term momentum of the market.
How do I trade it?
This indicator aims to give you insight into 'the other side of the trade', the Market Makers. When you buy, they provide liquidity by selling to you. That drives the Volume Density up.
Consider whether the market maker is currently long or short and might need to cover their position by wicking price back, or "adjust inventory". Especially towards the end of a market session.
Consider dense candles during market gaps or weekends to be market manipulation moves.
The density also goes up when stop losses are hit. If price makes a higher high or lower low, high density could indicate a liquidation event.
Gross and Net LTF Volume + Trailing Percentile Sessions CVOL Hi Traders !
Gross volume, net lower time frame (LTF) volume and trailing session percentile Cumulative session volume:
The code calculates and plots the following volume indicators:
Volume (Gross Volume): The total volume for the current bar.
Net lower time frame volume: The difference between the buy and sell volumes of the lower time frame.
Cumulative daily session volume: The cumulative sum of the volume for the current day.
Percentile Cumulative daily session volume: The percentile of the cumulative daily session volume (calculated on a rolling basis).
The above indicators may be plotted exclusively or exclusively.
Why is Volume important:
Volume is the number of shares or contracts traded (of a financial asset) during a given time period (timeframe). It is a crucial indicator in technical analysis and quantitative trading, as volume helps in identifying
Price Confirmation: Volume confirms price movements by indicating the level of interest and participation in the market. When prices move significantly, accompanied by strong volume, it suggests that the movement is likely to be sustained. Conversely, if prices move without significant volume, it suggests that the movement may be temporary or lacking conviction.
Trend Strength: Volume can help identify the strength and direction of a trend. During an uptrend, increasing volume alongside price increases indicates that the upward momentum is gaining traction. Conversely, decreasing volume during an uptrend suggests that the upward momentum may be weakening.
Reversal Points: Sharp volume spikes in the opposite direction of the prevailing trend can signal a potential reversal point. This is because large volume indicates a significant shift in trader sentiment, suggesting that the trend may be changing direction.
Liquidity: High volume indicates that a security is liquid, meaning that it can be easily bought and sold without significant price impact. Liquidity is important for traders who want to execute large orders without significantly affecting the market price.
For example, suppose we want to identify positive price confirmation and positive trend strength, in this case we may use the CVOL (with trailing percentile).
The above image showcases price expansion conditional on high positive volume (increasing CVOL), The price expansion also exhibits Volume confluences (the colored bars).
Positive Confluence: Increase in positive total volume and an increase in positive lower time frame volume in relative and absolute terms.
Negative Confluence : Increase in negative total volume and an increase in negative lower time frame volume in relative and absolute terms.
Also note how the percentile color does not change, this means that the new volume bars are > than the highest percentile (80%) of volume values from the beginning of the session.
ka66: Normalised/Relative VolumeThis is an idea taken from a John Bollinger (of Bollinger Bands fame) talk. Instead of showing volume with a moving average overlay, we show volume relative to its moving average:
avgVolume = sma(volume, 10) // several configurable MAs allowed
relativeVolume = volume / avgVolume
Now if we get a value of 1, that means the current volume is the same as its historical average. Under 0, less than average, and above zero, greater than its average.
If we get a value like 2, then current volume is twice its average. I hope the implication of this being displayed visually is becoming clearer.
We plot this relative volume as columns.
We then plot horizontal levels, like 1, 2, 3 to see the magnitude of the current volume relative to its average.
Consecutive rising or falling relative volume is shown in the same colour.
I am still exploring volume as trading data point, but we see some ideas from this visual representation:
How do volume patterns change across timeframes? Do we get better signals or higher or lower time frames (e.g. big relative volume spikes)
Can consecutive rises or falls indicate a big potential move, even though price is just fluctuating.
What about a switch from rise to fall.
If we get pinbars/spikes with a big relative volume spike, can we then infer more clearly whether buyers or sellers are in control.
Liquidity composition / quantifytools- Overview
Liquidity composition divides each candle into sections that are used to display transaction activity at price. In simple terms, an X-ray through candle is formed, revealing the orderflow that built the candle in greater detail. Liquidity composition consists of two main components, lots and columns. Lots and columns can be used to visualize user specified volume types, currently supporting net volume and volume delta. Lots and columns can be used to visualize same or different volume types, allowing a combination of volume footprint, volume delta footprint and volume profile in one single view. Liquidity composition principally works on any chart, whether that is equities, currencies, cryptocurrencies or commodities, even charts with no volume data (in which case volatility is used to approximate transaction activity). The script also works on any timeframe, from minute charts to monthly charts. Orderflow can be observed in real-time as it develops and none of the indications are repainted.
Example: Displaying same volume types on lots and columns
Example: Displaying different volume types on lots and columns
Liquidity composition supports user specified derivative data, such as point of control(s) and net activity coloring. Derivative data can be calculated based on either net volume or volume delta, resulting in different highlights.
With net volume, volume delta and derivative data in one view, key orderflow events such as delta imbalances, high volume nodes, low volume nodes and point of controls can be used to quickly identify accumulation/distribution, imbalances, unfinished/finished auctions and trapped traders.
Accessing script 🔑
See "Author's instructions" section, found at bottom of the script page.
Key takeaways
- Liquidity composition breaks down transaction activity at price, measured in net volume or volume delta
- Developing activity can be observed real-time, none of the indications are repainted
- Transaction activity is calculated using volumes accrued in lower timeframe price movements
- Lots and columns can be used to display same or different volume types (e.g. volume delta lots and net volume columns) in single view
- Users can specify derivative data such as volume delta POCs, net volume POC and net activity coloring
- For practical guide with practical examples, see last section
Disclaimer
Orderflow data is estimated using lower timeframe price movement. While accurate and useful, it's important to note the calculations are estimations and are not based on orderbook data. Estimates are calculated by allotting volume developing on lower timeframe chart to its respective section based on closing price. Volume delta (difference between buyers/sellers) is calculated by subtracting down move volumes (sell volume) from up move volumes (buy volume). Accuracy of the orderflow estimations largely depends on quality of lower timeframe chart used for calculations, which is why this tool cannot be expected to work accurately on illiquid charts with broken data.
Liquidity composition does not provide a standalone trading strategy or financial advice. It also does not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Liquidity composition should be viewed as one tool providing one kind of evidence, to be used in conjunction with other means of analysis.
- Example charts
Chart #1: BTCUSDT
Chart #2: EURUSD
Chart #3: ES futures
- Calculations
By default, size of sections and lower timeframe accuracy are automatically determined for all charts and timeframes. Number of lower timeframe price moves used for calculating orderflow is kept at fixed value, by default set to 350. Accuracy value dictates how many lower timeframe candles are included in the calculation of volume at price. At 350, the script will always use 350 lower timeframe price movements in calculations (when possible). When calculated dynamic timeframe is less than 1 minute, the script switches to available seconds based timeframes. Minimum dynamic timeframe can be capped to 1 minute (as seconds based timeframes are not available for all plans) or dynamic timeframe can be overridden using an user specified timeframe.
Example: Calculating dynamic lower timeframe
Main chart: 4H / 240 minutes
Accuracy value: 100
Formula: 240 minutes / 100 = 2.4 minutes
Timeframe used for calculations = 2 minutes
Section size is automatically determined based on typical historical candle range, the bigger it is, the bigger the section size as well. Like dynamic timeframe, automatic section size can be manually overridden by user specified size expressed in ticks (minimum price unit). Users can also adjust sensitivity of automatic sizing by setting it higher (smaller sections, more detail and more noise) or lower (less sections, less detail and less noise). Section size and dynamic timeframe can be monitored via metric table.
Volume at price is calculated by allotting volume associated with a lower timeframe price movement to its respective section based on closing price (volume is stored to the section that covers closing price). When used on a chart with no volume data, volatility is used instead to determine likely magnitude of participation. Volume delta (difference between buyers/sellers) is calculated by subtracting down move volumes (sell volume) from up move volumes (buy volume). Volumes accrued in sections are monitored over a longer period of time to determine a "normal" amount of activity, which is then used to normalize accrued volumes by benchmarking them against historical values.
Volume values displayed on the left side represent how close or far volume traded at given section is to an extreme, represented by value of 10 . The more value exceeds 10, the more extreme transaction activity is historically. The lesser the value, the less extreme (and therefore more typical) transaction activity is. Users can adjust sensitivity of volume extreme threshold, either by increasing it (more transaction activity is needed to constitute an extreme) or decreasing it (less transaction activity is needed to constitute an extreme).
Example: Interpreting volume scale
0 = Very little to no transaction activity compared to historical values
5 = Transaction activity equal to average historical values
10 = Transaction activity equal to an extreme in historical values
10+ = The more transaction activity exceeds value of 10, the more extreme it is historically
Accuracy of orderflow data largely depends on quality of lower timeframe data used in calculations. Sometimes quality of underlying lower timeframe data is insufficient due to suboptimal accuracy or broken lower timeframe data, usually caused by illiquid charts with gaps and inconsistent values. Therefore, one should always ensure the usage of most liquid chart available with no gaps in lower timeframe data. To combat poor orderflow data, a simple data quality check is conducted by calculating percentage of sections with volume data out of all available sections. Idea behind the test is to capture instances where unusual amount of sections are completely empty, most likely due to data gaps in LTF chart. E.g. 90% of sections hold some volume data, 10% are completely empty = 90% data quality score.
Data quality score should be viewed as a metric alerting when detail of underlying data is insufficient to consider accurate. When data quality score is slightly below threshold, lower timeframe chart used for calculations is likely fine, but accuracy value is too low. In this case, one should increase accuracy value or manually override used timeframe with a smaller one. When data quality score is well below threshold, lower timeframe chart used for calculations is likely broken and cannot be fixed. In this case, one should look for alternative charts with more reliable data (e.g. ES1! -> SPY, BITSTAMP:BTCUSD -> BINANCE:BTCUSDT).
Example : When insufficient data quality scores can/cannot be fixed
- Derivative data
Point of control
Point of control, referring to point in price where transaction activity is highest, can be calculated based on the volume type of lots or columns (based on net volume or volume delta). Depending on the calculation basis, displayed point of controls will vary. POC calculated based on net volume is no different from traditional POC, it is simply the section with highest amount of transaction activity, marked with an X. When calculating POC based on volume delta, the script will highlight two point of controls, named leading and losing point of control . Leading POC refers to lot with highest amount of volume delta, marked with an X. If leading POC was net buy volume, losing POC is marked on section with highest net sell volume, marked with S respectfully. Same logic applies in vice versa, if leading POC is net sell volume, losing POC is marked on highest buy volume section, using the letter B.
Net activity
Similarly to point of control calculation, net activity can be calculated based on either volume types, lots or columns. When calculating net activity based on net volume, candles will be colorized according to magnitude of total volume traded. When calculating net activity based on volume delta, candles will be colorized according to side with most volume traded (buyers or sellers). Net activity color can be applied on borders or body of a candle.
- Visuals
Lots, columns, candles and POCs can be colorized using a fixed color or a volume based dynamic color, with separate color options for buy side volume, sell side volume and net volume.
Metric table can be offsetted horizontally or vertically from any four corners of the chart, allowing space for tables from other scripts.
Table sizes, label sizes and offsets for visuals are fully customizable using settings menu.
- Practical guide
OHLC data (candles) is a simple condensed visualization of an auction market process. Candles show where price was in the beginning of an auction period (timeframe), the highest/lowest point and where price was at the end of an auction. The core utility of Liquidity composition is being able to view the same auction market process in much greater detail, revealing likely intention, effort and magnitude driving the process. All basic orderflow concepts, such as ones presented by auction market theory can be applied to Liquidity composition as well.
The most obvious and easy to spot use case for orderflow tools is identifying trapped traders/absorption, seen in high transaction activity at the very highs/lows of a candle or even better, at wicks. High participation at wicks can be used to identify forced orders absorbed into limit orders, idea behind being that when high transaction activity is placed at a wick, price went one direction with a lot of participation (high effort) and came right back up (low impact) within the same time period.
Absorption can show itself in many ways:
- Extreme buy volume sections at wick highs or buy side POC at wick highs
- Multiple, clustered high buy volume sections (but not extreme) at wick highs
- Positive net volume delta into a reversal down
- Extreme sell volume sections at wick lows or sell side POC at wick lows
- Multiple, clustered high sell volume sections (but not extreme) at wick lows
- Negative net volume delta into a reversal up
- Extreme net volume sections at or net volume POC at wick highs/lows
- Extreme net volume into a reversal up/down
For accurate analysis, orderflow based events should be viewed in the context of price action. To identify absorption, it's best to look for opportunities where an opposing trend is clearly in place, e.g. absorption into highs on an uptrend, absorption into lows on a downtrend. When price is ranging without a clear trend or there's no opposing trend, extreme activity at an extreme end of a candle might be aggressive participants attempting to initiate a new trend, rather than getting absorbed in the same sense. With enough effort put into pushing price to the opposite direction at overextended price, a shift in trend direction might be near.
Price action based levels are a great way to get context around orderflow events. Simple range highs/lows as a single data point serve as a high probability regimes for reversals, making them a great point of confluence for identifying trapped traders.
Low to zero volume sections can be used to identify points in price with little to no trading, leaving a volume null/void behind. Typically sections like these represent gaps on a lower timeframe chart, which can be used as reference levels for targets and support/resistance.
Net volume can be used for same purposes as above, but for determining general intention of market participants it's a much more suitable tool than volume delta. According to auction market theory, low/no participation is considered to reject prices and high participation is considered to accept prices. With this concept in mind, unfinished auctions occur when participation is high at highs or high at lows, idea behind being that participants are showing willingness and interest to trade at higher or lower prices. Auction is considered finished when the opposite is true, i.e. when participants are not showing willingness to trade at higher/lower prices. In general, direction of unfinished auctions can be expected to continue shortly and direction of unfinished auctions can be expected to hold.
While shape of volume delta and net volume are usually similar, they're not the same thing and do not represent the same event under the hood. Volume delta at 0 does not necessarily mean participation is 0, but can also mean high participation with equal amount of buying and selling. With this distinction in mind, using volume delta and net volume in tandem has the benefit of being able to identify points in price with a lot of up and down price movement packed into a small area, i.e. consolidation. Points in price where price hangs around for an extended period of time can be used to identify levels of interest for re-tests and breakout opportunities.
Accumulation/Distribution Money Flow v1.0This indicator is intended to measure selling and buying pressure, calculates accumulation/distribution levels and suggests current trend intensity and direction.
Core calculations are based on open source script by cI8DH which was not updated ever since 2018. Also, it implements the technique to avoid price gaps issues as described in Twiggs® Money Flow .
The indicator can plot calculated A/D line, a smoothed A/D line and another smoother derivative from the smoothed line which serves as a signal line. By implementing crossovers detection between two lines and also measuring distance between them it plots the histogram of the difference and can also color chart bars accordingly.
You can also use settings to factor in price and/or volume into calculations.
Three options for visual color representation are available.
1) Simple color bars
In this case bars are colored in red and green by default, whereas green indicates positive distance between smoothed A/D line and signal line (upward movement), and red indicated negative distance (downward movement).
2) 4-color scheme
In this case pale green and pale red colors are added, whereas pale red used when the histogram is positive and A/D + signal lines are below zero lines (start of upward movement from lower levels), and pale green is where histogram is negative and both A/D and signal lines are above zero line (start of downward movement from top levels). Bright red and green colors indicate strong movement where the position of A/D + signal lines correspond to positive and.or negative histogram values. This option allows to visually track trend intensity more precisely.
3) Gradient bars color
In this scheme the candles are colored using gradient of either red or green color depending on the intensity and direction of the trend. For that color scheme you must specify the lookback parameter indicating number of bars back to determine highest/lowest values.
Volume Profile PlusThis indicator provides a high-resolution and high-precision implementation of Volume Profile with flexible range settings. Its key features include:
1. Support for a high resolution of up to 2,500 rows.
2. Capability to examine lower timeframe bars (default 5,000 intra-bars) for enhanced precision.
3. Three range modes — "Visible Range", "Anchored Range", and "All Range".
4. Highlighting of Point of Control and Value Area.
5. Extensive customization options allowing users to configure dimensions, on-chart placements, and color schemes.
🔵 Settings
The settings screen, along with the explanations for each setting, is provided below:
🔵 High Resolution using Polyline
Inspired by @fikira, this indicator utilizes the newly introduced `polyline` type in PineScript to plot the volume profile. It employs a single polyline instance to represent the entire histogram. With each polyline instance supporting up to 10,000 points and each histogram row requiring 4 points, this indicator can accommodate 2500 rows, resulting in a significantly higher resolution compared to conventional volume profile indicators that use `line`s or `box`es to draw the histogram.
🔵 High Precision Data-binning using Lower Timeframe Data
Conventional volume profile indicators often face one or both of the following limitations:
1. They only consider volume within the chart's current timeframe.
2. They assign each bar's total volume to a single price bucket based on the bar's average price, rather than distributing volume across multiple price buckets.
As a result, when the number of bars in the chart is low, those indicators may provide imprecise results, making it difficult to accurately identify significant volume nodes and the point of control.
To address these limitations and enhance accuracy, this indicator examines data from lower timeframes and distributes the volume to fine-grained price buckets. It intelligently selects an appropriate lower timeframe to ensure precise output while complying with a maximum specified number of bars to maintain good performance.
🔵 Three Range Modes
This indicator offers users the flexibility to choose from three range modes:
1. Visible Range (Default Mode): In this mode, the volume profile calculation begins at the time of the left-most bar displayed in the current viewport. As the user scrolls through the viewport, the volume profile updates automatically.
2. Anchored Range: This mode allows the user to set the start time either by using the datetime input boxes or by dragging the anchor line on the chart.
3. All Range: In this mode, the volume profile calculation is based on all the historical bars available in the chart.
Double Simple Moving AverageThe Double Simple moving average is an indicator developed to help traders identify dynamic levels of support and resistance as well as determine current trend direction.
This indicator shows both an SMA calculated on highs and one calculated on lows. In addition to that, it plots the deviation bands based on the space between the two main lines.
The gradient color between the two main lines can be used to determine the volumetric pressure and confirmation of the current trend.
Advanced Liquidations Heatmap v4 [HG]Description:
This indicator examines price movements, volume, support, and resistance levels to pinpoint potential trading opportunities. It identifies large, volatile moves with substantial activity in specific zones on the chart, which the market tends to revisit due to the high transaction volume in these areas. The primary purpose of this indicator is to highlight these high-probability areas where the market is likely to return.
Leverage Liquidations Feature:
This indicator incorporates a feature that displays arbitrary liquidation levels, corresponding to various leverage settings common among market participants. Users need to analyze the market and select appropriate leverage settings based on their insights.
Transparency Feature:
The indicator also includes a feature that modulates the transparency of the displayed areas according to their significance, enhancing the visual representation of market activity.
Color Modulation Feature:
This feature modifies the color of the displayed areas depending on their importance.
Using the indicator:
We recommend using this indicator to trade towards and away from significant areas, and to look for reversals when these zones are revisited. Although trading offers no certainties, only probabilities, the significant candles on the chart denote high-probability areas the market frequently revisits. Additionally, zones recovered between 50% - 100% indicate high-probability points where the market might reverse its direction. The probability of a market direction change escalates as more significant areas are recovered sequentially. While there's no strict rule for when these areas are recovered, observing candle colors (green, blue, red, purple) can assist in assessing the velocity of a move to or from a zone. For more effective use of this indicator, determine a trend using other preferred indicators or even a basic EMA. Dedicate time to understanding how these zones are revisited for each specific asset.
Strong Move Up:
Strong Move Down:
Area Recovered Partially:
Significant Areas Are Recovered Sequentially:
Here's how to use the "Leverage Liquidations Feature":
Analyze market leverage tendencies: It's essential for users to undertake their own research into the common leverage settings utilized by market participants for a specific asset. By doing this, they can input these settings into the indicator to gain a better comprehension of potential price movements. Some sensible defaults are included in the default settings.
Visualize the liquidation levels on the chart: After the user has identified the prevalent leverage settings, the indicator will project the corresponding liquidation levels on the chart. These levels signify the points at which numerous leveraged positions would face liquidation, considering the current market price. This data can be instrumental in setting stop losses, establishing profit targets, and predicting potential market movements due to mass liquidations.
Liquidations Levels On BTC 25x + 50x + 100x + 125x:
Here's how to use the Modulation Features:
Areas more likely to be revisited are rendered more opaque, thereby increasing their visibility on the chart. In contrast, areas less likely to be revisited are shown more transparently. This delivers a straightforward visualization of where the bulk of trading activity is occurring. There's also a Dynamic Theme mode that utilizes color, not just transparency, to emphasize important areas.
Main Features:
Significant candles are identified and marked with colors, indicating high-probability areas the market may revisit.
The indicator facilitates the display of arbitrary liquidation levels based on user-defined leverage settings.
Features modulation options that adjust the transparency and color of the areas shown, based on their importance, offering an intuitive grasp of the market. The Dynamic Theme mode greatly enhances market readability.
The indicator can exhibit what we term ghosts, or dead/recovered areas, enabling users to visually identify which areas were recovered.
Fair Value Gaps can be presented alongside significant candles as both denote imbalances in the chart. Nonetheless, we recommend deactivating the Fair Value Gaps feature when showing numerous liquidation levels, allowing for the representation of data across a broader price range. Moreover, it's crucial to recognize that enabling Fair Value Gaps can influence calculations.
Documentation:
The indicator is accompanied by comprehensive documentation detailing all its options for user reference. Additionally, we provide a comprehensive instructional video.
Limitations:
A. The indicator can only showcase a limited amount of areas, so if many liquidation levels are displayed, the price range that can be shown becomes more narrow.
B. Analogous to point (A), activating the Fair Value Gaps Feature also constricts the price range of identified areas.
Recommendation:
If you wish to display more data, employ the indicator multiple times with varying settings. Also, use the 'Hide Normal Vectors' option on all but one indicator so the 'Normal' areas don't overlap.
If you experience frequent timeouts, reduce the 'Maximum Vector Zones' setting (We've found that 350 works adequately).
Quantum VRSIThe VRSI indicator is another in the suite of volume indicators we have developed and one that complements our volume price analysis methodology perfectly. and was developed out of a desire to build further on our cornerstone of VPA by peeling back the layers of volume and considering the relative aspect of volume. Hence, the acronym of Volume Relative Strength Index indicator encapsulates what the indicator is all about.
By analyzing relative volume, we are able to see a visual representation of the pressure in a trend, or indeed the lack of pressure, and in doing so, present in a clear, intuitive, and colorful way whether the trend we are trading or considering joining is being driven with constant or rising pressure as it develops. If so, the indicator gives us that all-important ingredient: confidence—namely, the confidence to continue maintaining the position for as long as possible. However, equally important is when we see a trend that is tiring, with falling pressure, sending a strong signal it is time to close out. Alternatively, when there is little or no pressure in the trend, this is a signal to wait and be patient.
These signals are delivered in a variety of ways, primarily through a color change sequence of brighter or darker colors, but equally importantly, based on the height of each pressure bar and its relationship to its neighbor or groups of bars. And herein lies the close relationship to the volume price analysis methodology since the interpretation of both is about judging bars against one in terms of confirmation of trends, such as rising volume and rising pressure bars, or alternatively falling volume and falling pressure bars signaling that the trend is weakening.
The Volume Relative Strength Index indicator, or VRSI, embodies the core concept of volume-price analysis. It blends trading volume data with price to create an indicator for all the various markets and instruments, whether stocks, ETFs, futures, forex, or cryptocurrencies. The result is an intuitive visual representation of the market’s underlying bullish and bearish pressure in the form of an oscillating histogram with varying colors, with the central fulcrum at zero giving a clear indication when sentiment is shifting from bullish to bearish, or vice versa.
Now, for the first time, you can see the strength of the trend represented visually and clearly based on our two leading indicators of relative volume and price, giving you that essential ingredient we all seek: confidence. And just as with all our other indicators, we urge you to use it in multiple timeframes.
MADALGO`s Enhanced OBV DivergencesDescription:
MADALGO's Enhanced OBV Divergences indicator is a unique tool designed for traders to visualize the divergences between price action and On Balance Volume (OBV), a fundamental aspect often indicative of underlying strength or weakness in the market. By keenly identifying these divergences, traders are better positioned to anticipate potential trend reversals or trend continuations, making this script an invaluable addition to their technical analysis toolkit.
This script meticulously scans for both regular and hidden bullish/bearish divergences, providing a comprehensive view of market sentiment. The core of this indicator is built around the OBV, which cumulatively adds or subtracts volume based on the price movement per period, thus providing a running total of volume and portraying the force behind the price movements.
The regular divergences are classic indicators of a potential reversal in the current trend, while hidden divergences are often indicative of trend continuation. These divergences are pinpointed based on the relative positions of the OBV and price highs/lows, over customizable lookback periods and within specified lookback ranges.
Features:
Regular and Hidden Divergences: Clearly marked bullish and bearish divergences provide insights into potential market turning points.
On Balance Volume (OBV) Line: Visualize the continuous flow of buying and selling pressure, enabling the identification of accumulation or distribution phases essential for understanding the market's strength or weakness.
Moving Average of OBV: An optional feature to smooth the OBV line, aiding in the identification of the overarching trend.
Dynamic Statistics Label: A floating label provides real-time updates on essential statistics like the Rate of Percentage Change (RPC) of OBV, the last divergences, and bars since the last divergences.
Inputs:
Pivot Lookback Right and Pivot Lookback Left: Define the lookback periods for identifying pivot points in the OBV line.
Max of Lookback Range and Min of Lookback Range: Define the range for considering divergences.
RPC Period: Defines the period for calculating the Rate of Percentage Change of the OBV.
MA Period: Defines the period for the optional moving average of the OBV.
Plot Bullish, Plot Hidden Bullish, Plot Bearish, Plot Hidden Bearish: Toggle visibility of respective divergences.
Plot Moving Average: Toggle visibility of the OBV moving average.
Usage:
Add the script to your TradingView chart.
Tailor the input parameters in the settings panel to align with your analysis requirements.
The divergences, OBV line, and optional moving average will be plotted on your chart, with a dynamic label displaying real-time statistics.
Set up alerts to be notified of identified divergences, enabling timely decision-making.
Alerts:
Regular bullish/bearish divergence in OBV found: Triggered when a regular bullish or bearish divergence is identified.
Hidden bullish/bearish divergence in OBV found: Triggered when a hidden bullish or bearish divergence is identified.
Underlying Concepts:
The OBV Divergences indicator is rooted in the principle that volume precedes price movement. When prices are rising with increased volume, it suggests that buying pressure is prevailing and may lead to continued upward momentum. Conversely, rising prices with decreasing volume might indicate a lack of buying conviction and could signal a potential price reversal. The identification of divergences between price and OBV can therefore serve as a powerful signal for traders. These examples can be seen below in the image
The Moving Average of the OBV further aids in understanding the prevailing trend by smoothing out the OBV line, providing a clearer picture of the market's longer-term momentum. The Rate of Percentage Change (RPC) provides insight into the momentum of volume, offering an additional layer of analysis. Together, these additional features enhance the core OBV analysis, enabling a more nuanced understanding of volume dynamics fundamental for making more informed trading decisions.
License:
This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, you can obtain one at Mozilla Public License 2.0.
Predictive Volume + MTF [Pro]"Predictive Volume + MTF " is a predictor of near-future volume available on 13 of your favorite time frames. The script calculates the volume's % change (PredVol) between Current Volume vs. Previous Volume by predicting whether PredVol will be higher or lower at the end of the current bar using an "elapsed time" vs "volume so far" concept. This gives the benefit of the most up-to-date information without artificial low/high comparisons when a bar has just formed. For example, it would be common to see -100% in a lot of instances when a new bar is just forming which would be normal because volume at the start of a new candle will generally be lower than where it was when the last bar closed. Where this indicator shines is during this old to new bar formation relative to the volume that's carried over to the new bar. As a result, it will now be common to see PredVol values starting much higher because the calculation is dividing up the bar and analyzing fractions of it instead of the entire bar that would otherwise lead to these incorrect volume % change calculations.
Examples of Predictive Volume % Change:
In addition, this indicator uses many other advanced and robust features:
⚡ Matrices that create the table, allowing you to add and remove rows and columns to customize the table to show only the information that's important to you
⚡ View up to 13 time frames at once - it's generally a good idea to have at least 5 time frames up to get an overall feeling of the direction/sentiment of volume with the 1d being 1 of the 5
⏩ Includes the following popular time frames: 1m, 3m, 5m, 10m, 15m, 30m, 1h, 2h, 4h, 8h, 1d, week, month
⚡ 3 "bias mode" choices that use Relative Volume (RVOL) from calculations between Current, Previous & Average Volume that provide a heat map with varying degrees of color representing buying & selling momentum of your favorite asset. Traders generally have an innate bias when it comes to their trading methodology. The script's
author created separate modes to account for this. One way to utilize the indicator is to use 2 on your chart, 1 Bullish and 1 Bearish, to see if volume sentiment is skewed towards your particular bias
⏩ 🟢 Standard Mode 🔴 - displays green and red to depict volume momentum using same RVOL calculations as Bullish & Bearish modes
⏩ 🐂 Bullish Mode 🐂 - displays 5 colors to represent the levels of intensity of the Buy/Sell/RVOL data (light blue, green, yellow, light orange, dark orange)
⏩ 🐻 Bearish Mode 🐻 - displays 5 colors to represent the levels of intensity of the Buy/Sell/RVOL data (light red to dark red)
Ex. of all 3 bias modes showing very bullish volume sentiment:
Ex. of all 3 bias modes showing very bearish volume sentiment:
⚡ 2 types of alerts: PREDEFINED and CUSTOM
💡 PREDEFINED ALERTS consist of 4 Bullish & Bearish levels with Lvl 1 designed to be less sensitive than Lvl 2 etc
⏩ Configurable for every time frame, "On Close" or "Each Bar". On Close could be a better choice on lower time frames so that you're not getting a bunch of triggers over a short duration & Each Bar could be a better option for higher time frames so that you don't miss a move mid bar for instance
⏩ Creating a PREDEFINED BULLISH/BEARISH ALERT saves a snapshot of the alert's settings. You can then change the settings and create another alert
⏩ For example, you could create one alert for any alert type (bull and/or bear), for every time frame all at once, or you can create multiple & separate alerts, giving each one a unique name with the time frame that it's for: ex. BTC - Bullish Vol Lvl1 (1m) (keep in mind that TV provides you the ticker, time frame & alert
type automatically (the script's author hard-coded the label names within the script and as a result when they do fire you're provided the type of alert, such as "Bearish Vol (Lvl 1). Technically, you don't even need to name the alert again)
In this example, you're provided information on how to create PREDEFINED ALERTS, what conditions cause the alerts to trigger and how they'll look when they do fire
💡 CUSTOM ALERTS consists of 6 metrics giving you the ability to create your own custom compound alerts
⏩ Configurable for every time frame, "On Close" or "Each Bar". On Close could be a better choice on lower time frames so that you're not getting a bunch of triggers over a short duration & Each Bar could be a better option for higher time frames so that you don't miss a move mid bar for instance
⏩ Creating a CUSTOM ALERT works the same way as PREDEFINED ALERTS (see chart below)
⏩ Check your conditions in real-time for accuracy via a debug feature aka "SHOW HELP FOR TIME FRAME"
In this example, you're provided information on how to create CUSTOM ALERTS
⚡ Header function that provides the ticker, time frame and session that you're on (can use in lieu of TV's watermark feature, or use together)
⏩ There's 2 customizable header inputs - you could include your TradingView username in one of them for the times when promoting your charts across your favorite social media sites
⚡ Timer that shows you when a bar will begin/end plus other features that allow you to change the size and positioning of the table within your charts
⚡ An input that allows you to change the "significant figures" for rounding purposes - can be especially useful when volume is low or when you're trading OTC stocks
⚡ 4 volume moving average lengths - Intraday, Daily, Weekly, Monthly - for those times when 1 moving average to cover the entire gamut of just won't suffice
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There's quite a bit more information provided in the attached charts as well as the tooltips within the inputs section of the indicator. Should you have any questions, feedback etc, please do not hesitate to contact the script's author. My hope is that this indicator becomes an invaluable resource to you and you're able to integrate it in to your everyday trading tool bag to make more informed decisions.
YD_Volume_Alert"YD_Volume_Alert" is a simple alert based on the increasing volume.
Although it is a simple indicator, strategies to determine accumulation and distribution can be developed using this indicator, which will also be published as well.
📌 Usage, Details and Alert
Using this indicator is simple.
You can enter two scales, "Increased Percentage 1 (%)" and "Increased Percentage 2 (%)", with default values set to 200% and 500%.
Signals are displayed in green and red triangles at the bottom of the bar, also printed with the text "Increased Volume" and "Hugely increased Volume".
Alerts are provided as a combination of the chart's symbol and the set percentage. For example,
"BINANCE:BTCUSDT.P 's Volume : 200% increased."
===========================================================
"YD_Volume_Alert" 는 거래량 증가에 따른 얼러트를 제공하는 간단한 지표입니다.
간단한 지표이지만 위 지표를 이용하여 매집과 매도의 타이밍으로 이용하는 전략 또한 개발할 수 있으며, 이 역시도 퍼블리시 할 예정입니다.
📌 사용 예시와 알림 설정
지표를 사용하는 방법은 간단합니다.
"Increased Percentage 1 (%)" 과 "Increased Percentage 2 (%)" 두 가지의 배율을 입력할 수 있으며, 기본값은 200%와 500%로 설정되어 있습니다.
시그널은 바 하단에 초록색, 빨간색 삼각형으로 각각 표시되며, "Increased Volume"과 "Hugely increased Volume"이라는 텍스트가 함께 출력됩니다.
얼러트는 자신이 설정한 차트의 심볼과 설정한 퍼센티지의 조합으로 제공되며 예를 들면 다음과 같습니다.
"BINANCE:BTCUSDT.P 's Volume : 200% increased."
YinYang VolumeOverview:
YinYang Volume is an Advanced Volume Indicator. Regular Volume can be deceiving. It can be hard to tell how much of the Volume bar is Buy vs Sell volume, especially since the bar is green or red simply based on if it closes at a greater price than it opened. With YinYang Volume you'll be able to see how much Buy AND Sell Volume there is on each bar. Being able to see both is very useful, but the cherry on top is the Buy and Sell Moving Average Lines. These lines (White is Buy and Orange is Sell) can show who is currently winning the fight, Bulls or Bears. When the lines cross it's a shift in momentum and when combined with other technical analysis you can better understand the direction the market is moving and make an informed and educated trading decision. YinYang Volume also has Information tables, these tables display the Buy vs Sell volume on different Timeframes. This way even if you're trading on a Low Timeframe (like 15 minutes) you can see how the Buy vs Sell volume is fairing on other Timeframes.
Tutorial:
Unlike most volume indicators, including standard volume, we can see both Buy AND Sell volume for each bar. You may be wondering, well what’s the importance of this? The answer is EVERYTHING! Volume is one of the most important indicators when it comes to trading. Nothing moves without volume. However, with standard volume, the bar is either red or green simply based on if it closes greater than it opens. Now, that is pretty silly if you ask us. Let’s get into depth as to why seeing both Buy and Sell volume is important, and examples for how you can make trades with it:
In this example above, we have 2 green bars and they both have high levels of volume. This bar on the right however, has more volume than the one on the left. The issue here is, the bar on the right has MORE Sell volume than it even does have Buy volume; meanwhile the bar on the left has way more buy volume than the bar on the right with little sell volume. Without separating them and by simply looking at the price bar and regular volume bar, we would never be able to deduce this. It is crucial to understand and see how much of each volume there is as it plays a huge role in the price movements.
The white line represents the Buy Volume Moving Average and the orange line represents the Sell Volume Moving Average. These moving averages are very useful as when they cross they represent strong Buy and Sell Signals.
We’ve enabled signals which plot circles onto the MA’s to display when they’ve crossed. The white circle represents a Buy Signal and the Orange circle represents a Sell Signal. These signals are very strong, but there is a catch that comes with it. The bar right after the signal has the highest chance of a reversal so it isn’t always advised to make the trade until confirmed that the reversal didn’t happen on the following bar. If you have enough data based on other technical analysis to know the first signal is true, then use it as a way to solidify the fact that it is a good entry/exit location.
You can change the length of which the MA’s are smoothed out over. For instance, in the previous examples and by default the length is 14. However, if we are to change it to 50 for instance, it makes them a longer lasting MA that has much fewer crosses. This can be useful based on your trading style and if you prefer to stay in trades for quite awhile. As you can see, all signals with the 50 length are quite accurate and would have produced profitable trades, likely more so than at 14, but since it moves slower there's fewer signals to trade on.
Our Information Tables are there to show you the amount of Buy vs Sell %’s on 6 different Time Frames at the same time. It can be very useful to know how people are feeling on different Time Frames without you having to change your own. This way you can stay on say the 15 minute Time Frame locked in your trade and can see if the momentum of your long trade is cooling down based on higher Time Frames Buy vs Sell volume %’s.
For example, let's say you got an alert from YinYang Volume for Buy Signal on the 1 Day. You then entered a trade which you deemed a good location on the 15 minutes (after doing your own technical analysis on the 15 minute too). The Buy vs Sell Volume %’s on the 1 Day was 55% Buy and 45% Sell when you entered the trade. You are still waiting for exit confirmation on the 15 minute but you notice the Buy vs Sell Volume % on the 1 Day goes down to 52% Buy and 48% Sell. You can see the momentum changing. Even though you haven’t received confirmation for exit on the 15 minute, it may still be a good time to get out as momentum is clearly changing on the 1 Day.
We will conclude this Tutorial here. We hope you’ll get some good use out of our Volume Indicator and its ability to display unique Volume Data. If you have any Questions, Comments, Suggestions or Concerns, please don’t hesitate to contact us.
Settings:
1. Show Signals:
Toggling this setting shows when the Buy and Sell Volume MA’s cross each other. It produces a white circle when the Buy Volume Crosses over the Sell Volume (BULLISH) and an orange circle when the Sell Volume Crosses over the Buy Volume (BEARISH).
2. Length:
How far back should we average the Buy and Sell Volume Moving Averages? 14 is default has been tested and proven to work well, however you can change it if there is a different value that suits your trading style better.
3. Type:
How is the Moving Averages calculated? VWMA (Volume Weighted Moving Average) is the default as it has been tested and worked best; afterall, we are calculating volume and therefore should use a volume weighted MA calculation. However, you can change it as your options are:
VWMA, EMA and SMA
4. Information Tables:
4.1. Show Information Tables:
Our Information tables display 6 different resolutions so you can see how much Buy vs Sell volume there is as a % in multiple different Time Frames without having to change your Time Frame.
4.2. Strength:
The Buy / Sell Volume %’s displayed within your Information Tables are based on Moving Averages. The length this moving average uses is based on the Strength you select. The strengths aren’t as simple as just a length amount but are a calculation involving multiple different lengths and averages. However, the stronger the strength, generally the farther the lookback length is as an average. Your options for strength are:
Unbreakable
Very Strong
Strong
Average
Weak
Very Weak
Glass
We recommend ‘Average’ Strength, however if you find you want to see the %’s change more or less frequently you can adjust to your trading style
4.3. Res1 / Res2/ Res3 / Res4 / Res5 / Res6:
These represent the different resolutions (Time Frames) being used in your information tables and can be modified to display whatever resolution works best for your trading style. By default they are:
Res1: Current Timeframe
Res2: 15 Minute
Res3: 1 Hour
Res4: 4 Hour
Res5: 1 Day
Res6: 1 Week
Backup Res (not changeable): 5 Minute (this is only used if your Current Timeframe in Res1 is a duplicate of one of the other resolutions)
HAPPY TRADING!
Zaree - Bull & Bear Volume VoidThe "Zaree - Bull & Bear Volume Void" (BBVV) indicator is a versatile tool designed to help traders assess the dynamics of bull and bear power in the market, with a focus on volume-based analysis. This indicator offers a range of features that aid in identifying potential shifts in market sentiment and strength.
Details of the Indicator:
Volume Void Color Settings: This indicator allows you to customize the colors used for different conditions, such as strong bull areas, slowing bull areas, strong bear areas, and slowing bear areas. These colors play a crucial role in visualizing the indicator's output.
Volume Void Settings: The BBVV indicator provides options for selecting specific volume void functions, which include "Relative Volume Comparison," "Percentage of Average Volume," "Fixed Volume Threshold," "Volatility-Adjusted Volume," "Compare to Previous Volume Bars," "Volume Percentile Rank," and "Market Session Comparison." Each function has its own criteria for evaluating volume conditions.
Void Bull Sensitivity and Void Bear Sensitivity: These are key parameters in the settings. The values you choose for void bull sensitivity and void bear sensitivity will significantly impact the background color displayed by the indicator. Properly configuring these values is crucial for the indicator's effectiveness.
Moving Average Settings: You can specify the source and length of moving averages used in the indicator. This helps in smoothing out data and providing a clearer picture of bull and bear power.
Void Color Background Conditions: The indicator dynamically changes the background color of the chart based on the current market conditions. It takes into account bull and bear power, as well as the configured sensitivity levels to determine whether the market is in a strong or slowing bull/bear phase.
MACD and Signal Lines: The indicator also displays MACD and signal lines on the chart, helping traders identify potential bullish and bearish crossovers.
Histogram Bars: Histogram bars are used to represent the strength of bull and bear power. Above-zero bars indicate bullish strength, while below-zero bars indicate bearish strength.
How to Use the Indicator:
Begin by customizing the color settings for different market conditions to your preference.
Select a volume void function that aligns with your trading strategy and objectives.
Configure the void bull sensitivity and void bear sensitivity values carefully. These values should reflect your desired sensitivity to volume conditions.
Choose the source and length of moving averages based on your analysis requirements.
Pay attention to the background color of the chart. It will change dynamically based on the current market conditions, providing insights into the strength of bull and bear power.
Observe the MACD and signal lines for potential bullish or bearish crossovers, which can be used as additional confirmation signals.
Interpret the histogram bars to gauge the strength of bull and bear power.
Example of Usage:
As a swing trader with a focus on volume analysis, you can use the BBVV indicator to enhance your trading decisions. Here's an example of how you might use the indicator:
Select "Relative Volume Comparison" as the volume void function to assess volume relative to a simple moving average.
Configure void bull sensitivity and void bear sensitivity to match your risk tolerance and trading style.
Choose "SMA" as the moving average type with a suitable length.
Pay attention to the background color changes in the chart. Strong bull areas may indicate potential bullish opportunities, while strong bear areas may signal bearish conditions.
Monitor the MACD and signal lines for potential crossovers, aligning them with the background color to validate your trading decisions.
Use the histogram bars to assess the strength of bull and bear power, helping you gauge market sentiment.
Remember that the BBVV indicator is a valuable tool to complement your trading strategy. It provides insights into volume dynamics and market conditions, allowing you to make informed trading choices.
Be sure to adjust the indicator settings according to your trading preferences and always consider the broader market context in your analysis.
Volume Delta Trailing Stop [LuxAlgo]The ' Volume Delta Trailing Stop ' indicator uses Lower Time Frame (LTF) volume delta data which can provide potential entries together with a Volume-Delta based Trailing Stop-line .
🔶 USAGE
Our 'Volume Delta Trailing Stop' script can show potential entries/Stop Loss lines
A trigger line needs to be broken before a position is taken, after which a Volume Delta-controlled Trailing Stop-line is created:
🔶 DETAILS
🔹 Volume rises when bought or sold
🔹 When the opening price appears on the chart, a buy/sell order has been executed.
If that order is less than the available supply of that particular price, volume will rise, without moving the price.
🔹 When the opening price is the same as the closing price, the volume of that bar can be seen as "neutral volume" (nV); nor "up", nor "down" volume.
Example
A buy order doesn't fill the first available supply in the order book. This price will be the opening price with a certain volume.
When at closing time, price still hasn't moved (the first available supply in the order book isn't filled, or no movement downwards),
the closing price will be equal to the opening price, but with volume. This can be seen as "neutral volume (nV)".
🔹 Delta Volume (ΔV): this is "up volume" minus "down volume"
🔹 Standard volume is colored red when closing price is lower than opening price ( = "down volume").
🔹 Standard volume is colored green when closing price is higher OR equal (nV) than opening price ( = "up volume").
🔹 Neutral Volume
The "Neutral-Volume" is considered "Up-Volume" - setting will dictate whether nV is considered as green 'buy' volume or not.
🔶 EXAMPLE
29 July 10:00 -> 10:05, chart timeframe 5 minutes, open 29311.28, close 29313.89
close > open, so the volume (39.55) is colored green ("up volume").
(The Volume script used in the following examples is the open-source publication Volume Columns w. Alerts (V) from LucF )
Let's zoom to the 1-minute TF:
The same period is now divided into more bars, volume direction (color) is dependable on the difference between open and close.
Counting up and down volume gives a more detailed result, it remains in an upward direction though):
(ΔV = +15.51)
Let's further zoom in to the 1-second TF:
The same period is now divided into even more bars (more possibility for changing direction on each bar)
Here we see several bars that haven't moved in price, but they have volume ("neutral" volume).
(neutral volume is coloured light green here, while up volume is coloured darker green)
When we count all green and red volume bars, the result is quite different:
(ΔV = -0.35)
In total more volume is found when price went downwards, yet price went up in these 5 minutes.
-> This is the heart of our publication, when this divergence occurs, you can see a barcolor changement:
• orange: when price went up, but LTF Volume was mainly in a downward direction.
• blue: when price went down, but LTF Volume was mainly in an upwards direction.
When we split the green "up volume" into "up" and "neutral", the difference is even higher
(here "neutral volume" is colored grey):
(ΔV = -12.76; "up" - "down")
🔶 CONCEPTS
bullishBear = current bar is red but LTF volume is in upward direction -> blue bar
bearishBull = current bar is green but LTF volume is in downward direction -> orange bar
🔹 Potential positioning - forming of Trigger-line
When not in position, the script will wait for a divergence between price and volume direction. When found, a Trigger-line will appear:
• at high when a blue bar appears ( bullishBear ).
• at low when an orange bar appears ( bearishBull ).
Next step is when the Trigger-line is broken by close or high/low (settings: Trigger )
Here, the closing price went under the grey Trigger-line -> bearish position:
🔹 Trailing Stop-line
When the Trigger-line is broken, the Trailing Stop-line (TS-line) will start:
• low when bullish position
• high when bearish position
You can choose (settings -> Trigger -> Close or H/L ) whether close price or high/low should break the Trigger-line
When alerts are enabled ("Any alert() function call"), you'll get the following message:
• ' signal up ' when bullish position
• ' signal down' when bearish position
After that, the TS-line will be adjusted when:
• a blue bullishBear bar appears when in bullish position -> lowest of {low , previous blue bar's high or orange bar's low}
• an orange bearishBull bar appears when in bearish position -> highest of {high, previous blue bar's high or orange bar's low}
When alerts are enabled ("Any alert() function call"), and the TS-line is broken, you'll get the following message:
• ' TS-line broken down ' when out bullish position
• ' TS-line broken up ' when out bearish position
🔹 Reference Point
Default the direction of price will be evaluated by comparing closing price with opening price.
When open and close are the same, you'll get "neutral volume".
You can use "previous close" instead (as in built-in volume indicator) to include gaps.
If close equals open , but close is lower than previous close , it will be regarded as " down volume ",
similar, when close is higher than previous close , it will be regarded as " up volume "
Note, the setting applies for the current timeframe AND Lower timeframe:
Based on: " open " (close - open)
Based on: " previous close " (close - previous close)
🔹 Adjustment
When the TS-line changes, this can be adjusted with a percentage of price , or a multiple of " True Range "
Default (Δ line -> Adjustment - 0)
Δ line -> Adjustment 0.03% (of price)
Δ line -> Mult of TR (10)
🔶 SETTINGS
🔹 LTF: choose your Lower TimeFrame: 1S (seconds), 5S, 10S, 15S, 30S, 1 minute)
🔹 Trigger: Choose the trigger for breaking the Trigger-line ; close or H/L (high when bullish position, low when bearish position)
🔹 Δ line ( Trailing Stop-line ): add/subtract an adjustment when the TS-line changes ( default: Adjustment ):
• Adjustment ( default: 0 ): add/subtract an extra % of price
• Mult of TR : add/subtract a multiple of True Range
🔹 Based on: compare closing price against:
• open
• previous close
🔹 "Neutral-Volume" is considered "Up-Volume" : this setting will dictate whether nV is considered as green 'buy' volume or not.
🔶 CONSIDERATIONS
🔹 The lowest LTF (1S) will give you more detail and will get data close to tick data.
However, a maximum of 100,000 intrabars can be used in calculations .
This means on the daily chart you won't see anything since 1 day ~ 86400 seconds. (just over 1 bar)
-> choose a lower chart timeframe, or choose a higher LTF (5S, 10S, ... 1 minute)
🔹 Always choose a LTF lower than the current chart timeframe.
🔹 Pine Script™ code using this request.security_lower_tf() may calculate differently on historical and real-time bars, leading to repainting .
PhantomFlow AccumulationDetectorThe PhantomFlow AccumulationDetector indicator analyzes the volume profile and displays potential accumulation based on the selected timeframe in the settings. This indicator can be used both as zones for trend following and for identifying reversals, as shown in the examples on the chart. The logic behind the formation of the accumulation zone is based on the fact that the POC (Point of Control) of the current zone is within the Volume Area range of the previous period.
Optimal settings for the working timeframe should be chosen visually, and the size of the zones should not be too large or too small. Additionally, it's advisable not to consider overly wide zones during increased volatility.
Consecutive zones within the same range often indicate a potential reversal.
We borrowed the volume profile calculation code from @LonesomeTheBlue. Thank you for the work done!
buyer_seller_scalping_indicatorThis code is a custom script designed for analyzing trading volume within a specific time window on the TradingView platform. It offers a comprehensive analysis of buying and selling activity during a defined period and provides visual aids and data summaries for traders to make informed decisions. Here's a detailed breakdown of its functionality and how to use it:
1. Custom Time Period: The script starts by allowing you to specify a custom time period for analysis. In this example, it's set from 04:00 to 09:29. You can modify these time values to suit your specific trading needs.
2. Volume Calculation: The script calculates buying and selling volume based on price levels. It takes into account the open, high, low, and close prices to determine whether buying or selling pressure is dominant during the specified time frame.
3. Total Volume Calculation: It calculates the total volume within the custom time period. This can help you gauge the overall activity and liquidity during the chosen time window.
4. Visualizations: The script then plots visual elements on the chart:
- A volume histogram, which provides a graphical representation of the total volume during the time period.
- Buying and selling volume indicators, which are shown as circles on the chart, highlighting the relative strength of buyers and sellers.
- An average volume line, represented in gray, which helps you identify the average trading volume over a 50-period moving average.
5. Volume Type Determination: The script determines whether buyers or sellers dominate the market during the specified time period. It labels this as "Buyers Volume > Sellers Volume," "Sellers Volume > Buyers Volume," or "Buyers Volume = Sellers Volume." This information can be crucial for assessing market sentiment.
6. Percentage Breakdown: The script calculates the percentage of buying and selling volume in relation to the total volume, helping you understand the distribution of market participants. These percentages are displayed in a table.
7. Table Display: Finally, the script creates a table that displays the following information:
- The current volume type (buyers, sellers, or balanced), with corresponding text colors.
- The percentage of buyers and sellers in the market.
How to Use:
1. Copy the script and add it as a custom script on TradingView.
2. Apply the script to your desired financial chart.
3. Adjust the custom time period if needed.
4. Interpret the visual elements and table to gain insights into market sentiment and volume distribution during the specified time frame.
5. Use this information to inform your trading decisions and strategies, especially when trading within the chosen time window.
This script is a valuable tool for traders seeking to understand market dynamics and volume behavior during specific trading hours, ultimately aiding in more informed trading decisions.
Disclaimer:
The indicator provided herein is experimental and has not undergone comprehensive testing. Its usage is solely at your own risk.
The publisher assumes no responsibility for any trading decisions made based on the utilization of this indicator.
Bias of Volume Share inside Std Deviation ChannelThe "Bias of Volume Share inside STD Deviation Channel" indicator is a powerful tool for traders aiming to assess market sentiment within a standard deviation (STD) price channel. This indicator calculates the bullish or bearish bias by analysing the share of volume within the standard deviation channel and provides valuable insights for decision-making.
Usage:
This indicator is a valuable tool for traders seeking to gain in-depth insights into market sentiment within a specified price channel. By focusing on price movements that fall within the standard distribution range and filtering out noise and market manipulations, it provides a clear view of prevailing bullish or bearish biases. Traders can leverage this information to make well-informed trading decisions that align with current market conditions, enhancing their trading strategies and potential for success.
Please ensure you review and adhere to the terms of the Mozilla Public License 2.0, as outlined in the indicator's source code.
*Predictive Volume + HTF [Free]*"Predictive Volume + HTF " is a predictor of real-time to near-future volume % change on the current chart and the next highest time frame. The script calculates the volume's % change (Pred Vol) between Current Volume vs. Previous Volume by predicting whether Pred Vol will be higher or lower at the end of the current bar using an "elapsed time" vs "volume so far" concept. This gives the benefit of the most up-to-date information without artificial low/high comparisons when a bar has just formed. For example, it would be common to see -100% in a lot of instances when a new bar is just forming which would be normal because volume at the start of a new candle will generally be lower than where it was when the last bar closed. Where this indicator shines is during this old to new bar formation and the volume that's carried over to the new bar. As a result, it will now be common to see Pred Vol values starting much higher because the calculation is dividing up the bar and analyzing fractions of it instead of the entire bar that would otherwise lead to these incorrect volume % change calculations.
A few examples of Predictive Volume % Change:
In addition, this indicator uses many advanced and dynamic features:
⚡ Matrices that create the table, allowing you to add and remove columns to customize the table to show only the information that's important to you
⚡ View 2 time frames at once - meaning every time you switch time frames, the table will auto-adjust to show the next highest time frame, or "HTF"
⚡ Header function that keeps you aware of the ticker, time frame and session that you're on at all times (can use in lieu of TV's watermark feature, or use together)
⚡ Timer that shows you when a bar will begin/end
⚡ Includes the following popular time frames: 1m, 3m, 5m, 10m, 15m, 30m, 1h, 2h, 4h, 8h, 1d, week, month
⚡ 3 "bias mode" choices that use Relative Volume (RVOL) from calculations between Current, Previous & Average Volume that provide a visual with varying degrees of color representing buying & selling momentum of your favorite asset. Traders generally have an innate bias when it comes to their trading methodology. Of course it can change quickly depending on current market structure. The script's author created separate modes to account for these biases. One way to utilize the indicator is to use 2 on your chart with 1 Bullish bias \"middle right\" and another Bearish bias \"lower right\" to see if volume pressure is skewed towards your particular bias by showing how many colored boxes there are on each table.
⏩ Standard - 🟢🔴 - displays green and red to depict volume momentum using same RVOL calculations as Bullish & Bearish modes
⏩ Bullish - 🐂🐂 - displays 5 colors to represent the levels of intensity of the Buy/Sell/RVOL data (light blue, green, yellow, light orange, dark orange)
⏩ Bearish - 🐻🐻 - displays 5 colors to represent the levels of intensity of the Buy/Sell/RVOL data (light red to dark purple)
Ex. of all 3 bias modes during a burst of bullish volume momentum:
Ex. of all 3 bias modes during a burst of bearish volume momentum:
⚡ 2 alert types: 1 bullish & 1 bearish with 2 levels for each
⏩ The PREDEFINED ALERTS consist of 2 Bullish & Bearish levels with Lvl 1 designed to be less sensitive than Lvl 2
⏩ Configurable for every time frame, "On Close" or "Each Bar". On Close could be a better choice on lower time frames so that you're not getting a bunch of triggers over a short duration & Each Bar could be a better option for higher time frames so that you don't miss a move mid bar for instance
⏩ Creating a PREDEFINED BULLISH/BEARISH ALERT saves a snapshot of the alert's settings. You can then change the settings and create another alert. In this way, you can create multiple unique alerts
⏩ Create one alert for any alert type (bull and/or bear), for every time frame all at once, or you can create multiple & separate alerts, giving each one a unique name with the time frame that it's for: ex. BTC - Bullish Vol Lvl1 (1m)
In this example, you'll see what causes the alerts to trigger as well as how to create them and how they'll look when they do fire.
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It is with a sense of gratitude, appreciation and indebtedness to the coder of this script ©SimpleCryptoLife that I'm able to present this indicator to you after months of hard work. We hope that you find it invaluable during your own trading journey! Should you have any questions, feedback or critiques please do not hesitate to leave a comment.
