Exponential Action Map (EAM)### **Exponential Action Map (EAM) – Description and Differences from VPVR**
The Exponential Action Map (EAM) indicator is a Pine Script-based volume profile indicator that offers **a weighted representation of buying and selling activity**. Unlike the standard **Volume Profile Visible Range (VPVR)**, which simply shows traded volume at various price levels, the EAM provides the following additional features:
1. **Exponential Weighting**:
- Instead of treating the volume of all considered bars equally, the EAM uses a **decay factor** to gradually diminish the significance of older data. This allows **more recent price movements to have greater influence**, making it particularly useful for short-term analysis.
2. **Exponential Stealth Move (ESM)**:
- In addition to buy and sell volume, the EAM calculates and displays the **Exponential Stealth Move (ESM)**.
- This measures the relative price movement compared to volume and highlights areas where **significant price changes occur with low volume**, which may indicate institutional activity or strong momentum.
- The ESM visualization is not present in VPVR, making it a distinct and valuable feature.
3. **Visualization Methodology**:
- Instead of simple histograms like in VPVR, volume is represented by **dynamic boxes** that encompass Buy (EBA), Sell (ESA), and Stealth Move (ESM) activities.
- The size and color of these boxes are **customizable**, allowing for clear differentiation between various volume types.
4. **Flexibility & Configuration**:
- Users can adjust parameters such as **Number of Bars, Decay Factor, Bar Width, and Maximum History Data**.
- The ability to **toggle historical data visibility** offers a **tailored view** that VPVR does not provide.
**Conclusion:** The EAM extends the classic volume profile (VPVR) by introducing **time-weighted volume analysis and detection of Stealth Moves (ESM)**. This not only highlights price levels with high trading volume but also reveals **price movements with low liquidity**, which can potentially indicate institutional interest.
Wyszukaj w skryptach "volume profile"
Simplified Market ProfileVolume Bins: This script divides the price range into num_bins equal price levels. Each bin holds the cumulative volume for that price range.
Profile Length: The number of past bars that the profile considers for building the volume histogram.
Bin Size: The price range between bins is determined by dividing the difference between the highest and lowest prices over the specified range.
Volume Calculation: The script iterates over each bar within the specified range, determining which price bin the bar’s volume should be added to.
Plotting: The script visualizes the volume profile as lines plotted horizontally at different price levels, with thickness proportional to the volume traded at that level.
CVD - Cumulative Volume Delta (Chart)█ OVERVIEW
This indicator displays cumulative volume delta (CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise volume delta information compared to methods that only use the chart's timeframe.
The core concepts in this script come from our first CVD indicator , which displays CVD values as plot candles in a separate indicator pane. In this script, CVD values are scaled according to price ranges and represented on the main chart pane.
█ CONCEPTS
Bar polarity
Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change.
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed.
Volume delta
Volume delta is a measure that separates volume into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume and market sentiment. There are several methods for determining whether an asset's volume belongs in the "up" or "down" category. Some indicators, such as On Balance Volume and the Klinger Oscillator , use the change in price between bars to assign volume values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the volume value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available.
In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating volume delta on historical bars. Our Volume Profile indicators use it as well. Other volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis.
This is the logic we use to assign intrabar volume to the "up" or "down" category:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume to produce the volume delta for the chart bar.
█ FEATURES
CVD resets
The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume delta accumulation, we can analyze the progression of volume delta across manageable chunks, which is often more useful than looking at volume delta accumulated from the beginning of a chart's history.
You can configure the reset period using the "CVD Resets" input, which offers the following selections:
• None : Calculations do not reset.
• On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.
• At a fixed time that you specify.
• At the beginning of the regular session .
• On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .
• On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules:
Chart TF HTF
< 1min 1H
< 3H 1D
<= 12H 1W
< 1W 1M
>= 1W 1Y
Specifying intrabar precision
Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed.
The first five options allow users to specify the approximate amount of chart bars to be covered:
• Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.
This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.
• Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped LTF in relation to the current chart's timeframe.
• Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min LTF.
• Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min LTF.
The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows:
Chart Timeframe Lower Timeframe
Less Precise More Precise
< 1hr 1min 1min
< 1D 15min 1min
< 1W 2hr 30min
> 1W 1D 60min
The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible.
As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Display
This script displays raw or cumulative volume delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume activity on each bar or cumulatively over time. The indicator's background shows where CVD resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings.
This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input.
Divergences occur when the polarity of volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs.
An information box in the lower-left corner of the indicator displays the HTF used for resets, the LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings.
FOR Pine Script™ CODERS
• This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.
The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .
The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.
• The script utilizes display.data_window and display.status_line to restrict the display of certain plots.
These new built-ins allow coders to fine-tune where a script’s plot values are displayed.
• The newly added session.isfirstbar_regular built-in allows for resetting the CVD segments at the start of the regular session.
• The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.
These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.
This functionality also enables the scaling of the oscillator zones.
These variables are just a couple of the many new built-ins available in the chart.* namespace.
For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .
• Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting CVD segments within this script.
Revisit the library to see more of the newly added content!
Look first. Then leap.
Bitcoin Stalemate IndicatorThe Bitcoin Stalemate Indicator examines periods in the market defined by a combination of high volume and low price volatility. These periods are a bit like a tug-of-war with both sides applying a lot of force but the rope moving very little. Periods of high volume and low volatility suggest both sides of the trade are stuck in a stalemate. This indicator may be useful in identifying psychologically important price levels.
The mechanics of the indicator are fairly simple: the indicator takes the volume and divides it by the candle’s size over it’s close for that same period.
volume / ((high - low) / close)
Candles that move very little but with high volume will produce higher reads and vice versa. Finally a smoothing average is applied to clean up the noise.
Volume profiles from the top 6 exchanges are averaged in order to avoid a single exchange’s popularity acting as an overriding factor. Single exchanges can be isolated but are of lesser use. Heat map functionality is only active when all exchanges are selected.
Market Profile Fixed ViewSome instruments does not provide any volume information, therefore, as a fixed volume profile user, I needed a fixed market profile indicator to use the same principles, regardless of whether the volumes are available or not.
This script draws a market profile histogram corresponding to price variations within a specific duration, you only need to specify Start and End date/time values to see the histogram on your chart.
Details
Two lines corresponding to highest/lowest prices are displayed around the histogram
The redline corresponds to the POC (point of control)
Options
Start calculation
End calculation
Bars number (histogram resolution, currently locked to a max value of 50 bars)
Display side/Width (allows to modify size of bars, to the left or to the right)
Bars/Borders/POC Color customization
Notes
This script will probably be updated (to add VAH/VAL zones, and maybe other options). However, some common market profile attributes have not been implemented yet since I don't really use them)
TIL Volume by Price SRTrading Indicator Lab's Volume by Price SR is a volume-based indicator for TradingView that reveals the strongest (and weakest) support and resistance levels in the chart among 12 price zones within a given period.
How It Works
The Volume by Price indicator uses a spectrum of blue to red colors to differentiate the strength of the volume within a price range for each bar. Think of it as a running volume profile with 12 price zones.
For each bar, the indicator calculates the rank of each price zone from the one that has the least number of volume to the highest within a given length of bars. Price zones that have less volume count are assigned colors that are closer to blue while price zones that have higher volume appear red. The indicator also marks the highest and lowest price levels in the rank with a red and blue dot which correspond to the same color code. The indicator repeats this in the next bar up to the last until it creates a stream of 12 lines that visually represent the gradual shift of volume strength in the price axis.
How to Use
The Volume by Price SR indicator is simple and can be used primarily to gauge support and resistance. Red lines represent price levels where there is a history of higher volume within the period, which also act as good support/resistance levels where price is more likely to be tested or bounce off.
As it can also be seen as a running volume profile indicator, the red and blue dots in each bar can be considered as high volume nodes (HVN) and low volume nodes (LVN) respectively. Though the calculation of the volume profile is continuous, the HVN and LVN dots can often appear consecutively or in a series within a single price level. The price tends to linger around or test lines that has the red dot (HVN). Meanwhile price rarely cross lines with the blue dot (LVN) or not spend as much time in these areas compared to other levels.
The height of the 12 price zones is determined by the difference between the highest high and lowest low of the period which can be useful in visualizing the chart's dynamic price range.
Inputs
- Length - sets the length of the period the indicator calculates for each bar
- Line Thickness - sets the thickness of the 12 lines all at once
- Dot Size - sets the size of the HVN and LVN dots
Multi Time Frame Trend, Volume and Momentum ProfileWHAT DOES THIS INDICATOR DO?
I created this indicator to address some of the significant inconveniences when analyzing a security, such as continually switching between different time frames to determine the trend and potential pullbacks, adding volume or volume-derived indicators, and finally, something that would help me determine the strength of the trend (maybe two additional indicators here). So I decided to code this all-in-one indicator that you can add multiple times to your chart depending on the settings you want to use, or just optimize the parameters for the particular asset and then switch between the options.
As the name suggests, it consists of three main sections - Trend , Volume , and Momentum . You have complete control over the parameters, including the Time Frames you want to use for each one (they can be different). So, let me explain each section in more detail.
HOW DOES THE INDICATOR WORK?
1. Trend Settings
In order to determine the trend, you need to set up two Moving Averages. You have a wide choice here - SMA, EMA, WMA, RMA, HMA, DEMA, TEMA, VWMA, and ALMA. Since the indicator does not plot the moving averages on the chart, I strongly suggest using this indicator along with the free "Trend Indicator for Directional Trading(main)" , which you can find in the Public Library. Once you set up the Trend Resolution, the Types of MAs, and their lengths, the indicator will generate a histogram of their convergences and divergences.
The change in colors should help you more easily determine the trend:
a) Bright Green - bull trend and price trending up (a good place to open long)
b) Dark Green - bull trend and price trending down (stay flat or open a long position with great caution)
c) Bright Red - bear trend and price trending down (a good place to open short)
d) Dark Red - bear trend and price trending up (stay flat or open a short position with great caution)
e) In addition, you can change the color palette to reflect the bull/bear trend momentum by scrolling to the bottom and selecting "Color Based on Bull/Bear Momentum", but I will discuss this in more detail below.
This part of the indicator is useful for opening a trade in the direction of the trend or for spotting a potential divergence. Both cases are illustrated below.
2. Volume Settings
The calculations for this part of the indicator are partially taken from "Multi Time Frame Effective Volume Profile" . I will quickly outline the specifics here, but if you want a more thorough understanding of how it works, please check the description of the MTF Effective Volume Profile indicator .
You have three elements with the following default settings - Resolution (5-min), Lookback (100), and Average (1). This means that the indicator will analyze the last one hundred 5-min bars and will plot a sum of only those that are at least 1 times bigger than the average. Those that are smaller than the average will be left out from the calculation. What you get is a trend line showing you accumulation/distribution based on modified volume parameters.
This part of the indicator is useful for spotting exhaustions and increased buying/selling volume that is opposite to the price trend. As you will see in the picture below, in frame 1 the selling pressure is decreasing, while buying volume is increasing. At one point supply dries out and the bulls take control, thus reverting the price. In frame 2, however, you can see that the higher high is not met with nearly as much buying volume as in the previous peak, showing that the bulls are exhausted and maybe a trend change will follow or at the very least that the bull trend will take a break.
3. Momentum Settings
The final part is an RSI smoothed through a Moving Average with the addition of some minor optimizations. Thus, the parameters you have to configure here aside from the resolution are the RSI length, the moving average that will be used, and its length. Out of the three, this is the most lagging component, but it's also the most accurate one. I must mention that due to the modified nature of this RSI, overbought and oversold levels carry less weight to the trading signals. Rather, pay attention to the change of colors, as they do so when the RSI changes direction based on preset parameters. The picture below shows such instances.
4. Additional Settings
This section consists of 4 elements:
a) Length of Trend - filters out the noise and gives a signal only when the trend becomes more established
b) ADX Threshold - filters out trading ranges and indecision zones when it's not recommended to open a trade
c) Select Analysis - choose what part of the indicator you want to see from a drop-down menu
d) Color Based on Bull/Bear Momentum - a global setting that will override the preset coloring of each indicator and will replace it with colors based on bull/bear strength and momentum - green for bulls, red for bears, and gray for non-trading zones.
The last part of this indicator is a combination of all of the above and is called a Points-Based System . It generates 3 rows of dots that go light green when bull criteria are met, orange when bear criteria are met, or gray when it's neither of the two. When you get a column of 3 green dots you get a buy signal. Similarly, a column of 3 orange dots gives you a sell signal. Grey zones are non-tradeable. It goes without saying that the frequency and quality of the signals you get will almost entirely depend on your settings, so feel free to experiment and adjust the indicator to catch the best moves for the given security.
In terms of indicator adjustments, I have left almost every part open to configuration. That is 15 parameters and 35 adjustable colors.
HOW MUCH DOES THE INDICATOR COST ?
As much as I would like to offer it for free (as some of my other ones), a great deal of work, trading logic, and testing have gone into creating this indicator. More than a few hundred iterations and a few dozen branches were required to reach the end result which is a precise combination of usefulness, simplicity, and practicality. Furthermore, this indicator will continue to be updated and user-requested features that improve its performance will be added.
Disclaimer: The purpose of all indicators is to indicate potential setups, which may lead to profitable results. No indicator is perfect and certainly, no indicator has a 100% success rate. They are subject to flaws, wrongful interpretation, bugs, etc. This indicator makes no exception. It must be used with a sound money management plan that puts the main emphasis on protecting your capital. Please, do not rely solely on any single indicator to make trading decisions instead of you. Indicators are storytellers, not fortune tellers. They help you see the bigger picture, not the future.
To find out more about how to gain access to this indicator, please use the provided information below or just message me. Thank you for your time.
Bar Balance [LucF]Bar Balance extracts the number of up, down and neutral intrabars contained in each chart bar, revealing information on the strength of price movement. It can display stacked columns representing raw up/down/neutral intrabar counts, or an up/down balance line which can be calculated and visualized in many different ways.
WARNING: This is an analysis tool that works on historical bars only. It does not show any realtime information, and thus cannot be used to issue alerts or for automated trading. When realtime bars elapse, the indicator will require a browser refresh, a change to its Inputs or to the chart's timeframe/symbol to recalculate and display information on those elapsed bars. Once a trader understands this, the indicator can be used advantageously to make discretionary trading decisions.
Traders used to work with my Delta Volume Columns Pro will feel right at home in this indicator's Inputs . It has lots of options, allowing it to be used in many different ways. If you value the bar balance information this indicator mines, I hope you will find the time required to master the use of Bar Balance well worth the investment.
█ OVERVIEW
The indicator has two modes: Columns and Line .
Columns
• In Columns mode you can display stacked Up/Down/Neutral columns.
• The "Up" section represents the count of intrabars where `close > open`, "Down" where `close < open` and "Neutral" where `close = open`.
• The Up section always appears above the centerline, the Down section below. The Neutral section overlaps the centerline, split halfway above and below it.
The Up and Down sections start where the Neutral section ends, when there is one.
• The Up and Down sections can be colored independently using 7 different methods.
• The signal line plotted in Line mode can also be displayed in Columns mode.
Line
• Displays a single balance line using a zero centerline.
• A variable number of independent methods can be used to calculate the line (6), determine its color (5), and color the fill (5).
You can thus evaluate the state of 3 different components with this single line.
• A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events.
Features available in both modes
• The color of all components can be selected from 15 base colors, with 16 gradient levels used for each base color in the indicator's gradients.
• A zero line can show a 6-state aggregate value of the three main volume balance modes.
• The background can be colored using any of 5 different methods.
• Chart bars can be colored using 5 different methods.
• Divergence and large neutral count ratio events can be shown in either Columns or Line mode, calculated in one of 4 different methods.
• Markers on 6 different conditions can be displayed.
█ CONCEPTS
Intrabar inspection
Intrabar inspection means the indicator looks at lower timeframe bars ( intrabars ) making up a given chart bar to gather its information. If your chart is on a 1-hour timeframe and the intrabar resolution determined by the indicator is 5 minutes, then 12 intrabars will be analyzed for each chart bar and the count of up/down/neutral intrabars among those will be tallied.
Bar Balances and calculation methods
The indicator uses a variety of methods to evaluate bar balance and to derive other calculations from them:
1. Balance on Bar : Uses the relative importance of instant Up and Down counts on the bar.
2. Balance Averages : Uses the difference between the EMAs of Up and Down counts.
3. Balance Momentum : Starts by calculating, separately for both Up and Down counts, the difference between the same EMAs used in Balance Averages and an SMA of double the period used for the EMAs. These differences are then aggregated and finally, a bounded momentum of that aggregate is calculated using RSI.
4. Markers Bias : It sums the bull/bear occurrences of the four previous markers over a user-defined period (the default is 14).
5. Combined Balances : This is the aggregate of the instant bull/bear bias of the three main bar balances.
6. Dual Up/Down Averages : This is a display mode showing the EMA calculated for each of the Up and Down counts.
Interpretation of neutral intrabars
What do neutral intrabars mean? When price does not change during a bar, it can be because there is simply no interest in the market, or because of a perfect balance between buyers and sellers. The latter being more improbable, Bar Balance assumes that neutral bars reveal a lack of interest, which entails uncertainty. That is the reason why the option is provided to interpret ratios of neutral intrabars greater than 50% as divergences. It is also the rationale behind the option to dampen signal lines on the inverse ratio of neutral intrabars, so that zero intrabars do not affect the signal, and progressively larger proportions of neutral intrabars will reduce the signal's amplitude, as the balance calcs using the up/down counts lose significance. The impact of the dampening will vary with markets. Weaker markets such as cryptos will often contain greater numbers of neutral intrabars, so dampening the Line in that sector will have a greater impact than in more liquid markets.
█ FEATURES
1 — Columns
• While the size of the Up/Down columns always represents their respective importance on the bar, their coloring mode is independent. The default setup uses a standard coloring mode where the Up/Down columns over/under the zero line are always in the bull/bear color with a higher intensity for the winning side. Six other coloring modes allow you to pack more information in the columns. When choosing to color the top columns using a bull/bear gradient on Balance Averages, for example, you will end up with bull/bear colored tops. In order for the color of the bottom columns to continue to show the instant bar balance, you can then choose the "Up/Down Ratio on Bar — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar.
• Line mode shows only the line, but Columns mode allows displaying the line along with it. If the scale of the line is different than that of the scale of the columns, the line will often appear flat. Traders may find even a flat line useful as its bull/bear colors will be easily distinguishable.
2 — Line
• The default setup for Line mode uses a calculation on "Balance Momentum", with a fill on the longer-term "Balance Averages" and a line color based on the "Markers Bias". With the background set on "Line vs Divergence Levels" and the zero line on the hard-coded "Combined Bar Balances", you have access to five distinct sources of information at a glance, to which you can add divergences, divergences levels and chart bar coloring. This provides powerful potential in displaying bar balance information.
• When no columns are displayed, Line mode can show the full scale of whichever line you choose to calculate because the columns' scale no longer interferes with the line's scale.
• Note that when "Balance on Bar" is selected, the Neutral count is also displayed as a ratio of the balance line. This is the only instance where the Neutral count is displayed in Line mode.
• The "Dual Up/Down Averages" is an exception as it displays two lines: one average for the Up counts and another for the Down counts. This mode will be most useful when Columns are also displayed, as it provides a reference for the top and bottom columns.
3 — Zero Line
The zero line can be colored using two methods, both based on the Combined Balances, i.e., the aggregate of the instant bull/bear bias of the three main bar balances.
• In "Six-state Dual Color Gradient" mode, a dot appears on every bar. Its color reflects the bull/bear state of the Combined Balances, and the dot's brightness reflects the tally of balance biases.
• In "Dual Solid Colors (All Bull/All Bear Only)" a dot only appears when all three balances are either bullish or bearish. The resulting pattern is identical to that of Marker 1.
4 — Divergences
• Divergences are displayed as a small circle at the top of the scale. Four different types of divergence events can be detected. Divergences occur whenever the bull/bear bias of the method used diverges with the bar's price direction.
• An option allows you to include in divergence events instances where the count of neutral intrabars exceeds 50% of the total intrabar count.
• The divergence levels are dynamic levels that automatically build from the line's values on divergence events. On consecutive divergences, the levels will expand, creating a channel. This implementation of the divergence levels corresponds to my view that divergences indicate anomalies, hesitations, points of uncertainty if you will. It excludes any association of a pre-determined bullish/bearish bias to divergences. Accordingly, the levels merely take note of divergence events and mark those points in time with levels. Traders then have a reference point from which they can evaluate further movement. The bull/bear/neutral colors used to plot the levels are also congruent with this view in that they are determined by price's position relative to the levels, which is how I think divergences can be put to the most effective use.
5 — Background
• The background can show a bull/bear gradient on four different calculations. You can adjust its brightness to make its visual importance proportional to how you use it in your analysis.
6 — Chart bars
• Chart bars can be colored using five different methods.
• You have the option of emptying the body of bars where volume does not increase, as does my TLD indicator, the idea behind this being that movement on bars where volume does not increase is less relevant.
7 — Intrabar Resolution
You can choose between three modes. Two of them are automatic and one is manual:
a) Fast, Longer history, Auto-Steps (~12 intrabars) : Optimized for speed and deeper history. Uses an average minimum of 12 intrabars.
b) More Precise, Shorter History Auto-Steps (~24 intrabars) : Uses finer intrabar resolution. It is slower and provides less history. Uses an average minimum of 24 intrabars.
c) Fixed : Uses the fixed resolution of your choice.
Auto-Steps calculations vary for 24/7 and conventional markets in order to achieve the proper target of minimum intrabars.
You can choose to view the intrabar resolution currently used to calculate delta volume. It is the default.
The proper selection of the intrabar resolution is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors.
8 — Markers
Six markers are available:
1. Combined Balances Agreement : All three Bar Balances are either bullish or bearish.
2. Up or Down % Agrees With Bar : An up marker will appear when the percentage of up intrabars in an up chart bar is greater than the specified percentage. Conditions mirror to down bars.
3. Divergence confirmations By Price : One of the four types of balance calculations can be used to detect divergences with price. Confirmations occur when the bar following the divergence confirms the balance bias. Note that the divergence events used here do not include neutral intrabar events.
4. Balance Transitions : Bull/bear transitions of the selected balance.
5. Markers Bias Transitions : Bull/bear transitions of the Markers Bias.
6. Divergence Confirmations By Line : Marks points where the line first breaches a divergence level.
Markers appear when the condition is detected, without delay. Since nothing is plotted in realtime, markers do not appear on the realtime bar.
9 — Settings
• Two modes can be selected to dampen the line on the ratio of neutral intrabars.
• A distinct weight can be attributed to the count of the latter half of intrabars, on the assumption that later intrabars may be more important in determining the outcome of chart bars.
• Allows control over the periods of the different moving averages used in calculations.
• The default periods used for the various calculations define the following hierarchy from slow to fast:
Balance Averages: 50,
Balance Momentum: 20,
Dual Up/Down Averages: 20,
Marker Bias: 10.
█ LIMITATIONS
• This script uses a special characteristic of the `security()` function allowing the inspection of intrabars—which is not officially supported by TradingView.
• The method used does not work on the realtime bar—only on historical bars.
• The indicator only works on some chart resolutions: 3, 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars and the stepping mechanism could require adaptation.
• When using the "Line vs Divergence Levels — Dual Color Gradient" color mode to fill the line, background or chart bars, keep in mind that a line calculation mode must be defined for it to work, as it determines gradients on the movement of the line relative to divergence levels. If the line is hidden, it will not work.
• When the difference between the chart’s resolution and the intrabar resolution is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this.
• Alerts do not work reliably when `security()` is used at intrabar resolutions. Accordingly, no alerts are configured in the indicator.
• The color model used in the indicator provides for fancy visuals that come at a price; when you change values in Inputs , it can take 20 seconds for the changes to materialize. Luckily, once your color setup is complete, the color model does not have a large performance impact, as in normal operation the `security()` calls will become the most important factor in determining response time. Also, once in a while a runtime error will occur when you change inputs. Just making another change will usually bring the indicator back up.
█ RAMBLINGS
Is this thing useful?
I'll let you decide. Bar Balance acts somewhat like an X-Ray on bars. The intrabars it analyzes are no secret; one can simply change the chart's resolution to see the same intrabars the indicator uses. What the indicator brings to traders is the precise count of up/down/neutral intrabars and, more importantly, the calculations it derives from them to present the information in a way that can make it easier to use in trading decisions.
How reliable is Bar Balance information?
By the same token that an up bar does not guarantee that more up bars will follow, future price movements cannot be inferred from the mere count of up/down/neutral intrabars. Price movement during any chart bar for which, let's say, 12 intrabars are analyzed, could be due to only one of those intrabars. One can thus easily see how only relying on bar balance information could be very misleading. The rationale behind Bar Balance is that when the information mined for multiple chart bars is aggregated, it can provide insight into the history behind chart bars, and thus some bias as to the strength of movements. An up chart bar where 11/12 intrabars are also up is assumed to be stronger than the same up bar where only 2/12 intrabars are up. This logic is not bulletproof, and sometimes Bar Balance will stray. Also, keep in mind that balance lines do not represent price momentum as RSI would. Bar Balance calculations have no idea where price is. Their perspective, like that of any historian, is very limited, constrained that it is to the narrow universe of up/down/neutral intrabar counts. You will thus see instances where price is moving up while Balance Momentum, for example, is moving down. When Bar Balance performs as intended, this indicates that the rally is weakening, which does necessarily imply that price will reverse. Occasionally, price will merrily continue to advance on weakening strength.
Divergences
Most of the divergence detection methods used here rely on a difference between the bias of a calculation involving a multi-bar average and a given bar's price direction. When using "Bar Balance on Bar" however, only the bar's balance and price movement are used. This is the default mode.
As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for the purported ability of bullish/bearish divergences to indicate imminent reversals.
Superfluity
In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . Bar Balance can display lots of information. While learning to use a new indicator inevitably requires an adaptation period where we put it through its paces and try out all its options, once you have become used to Bar Balance and decide to adopt it, rigorously eliminate the components you don't use and configure the remaining ones so their visual prominence reflects their relative importance in your analysis. I tried to provide flexible options for traders to control this indicator's visuals for that exact reason—not for window dressing.
█ NOTES
For traders
• To avoid misleading traders who don't read script descriptions, the indicator shows nothing in the realtime bar.
• The Data Window shows key values for the indicator.
• All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a fixed scale.
• Note that because of the way gradients are optimized internally, changing their brightness will sometimes require bringing down the value a few steps before you see an impact.
• Because this indicator does not use volume, it will work on all markets.
For coders
• For those interested in gradients, this script uses an advanced version of the Advance/Decline gradient function from the PineCoders Color Gradient (16 colors) Framework . It allows more precise control over the range, steps and min/max values of the gradients.
• I use the PineCoders Coding Conventions for Pine to write my scripts.
• I used functions modified from the PineCoders MTF Selection Framework for the selection of timeframes.
█ THANKS TO:
— alexgrover who helped me think through the dampening method used to attenuate signal lines on high ratios of neutral intrabars.
— A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator . The technique I use to inspect intrabars is derived from Kuan's code.
— theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar resolutions.
— midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics. He is also the co-author of the PineCoders Color Gradient Frameworks .
Volume Voids [theUltimator5]Volume Voids highlights price regions with no or unusually thin participation over a chosen lookback. It bins the lookback’s full price range into equal steps, assigns each bar’s close to a bin, and accumulates volume per bin. Contiguous runs of zero-volume bins are shown as “voids,” while low-volume runs (below a dynamic threshold) mark thin-liquidity “corridors” where price often traverses quickly when revisited.
An optional PoC (Point of Control) line marks the mid-price of the highest-volume bin—commonly treated as a recent “value” area that price may revisit.
What it draws on your chart
Histogram (optional): Right-anchored horizontal volume-by-price bars built from your lookback and bin count. Bars tint green→red via a simple delta proxy (up-bar volume minus down-bar volume) to hint at directional participation inside each price band.
Point of Control (optional): A horizontal line at the highest-volume bin’s mid-price (the PoC).
Zero-Volume Voids: Translucent boxes where no bin volume printed within the window (detected between the first and last non-empty bins ).
Low-Volume Zones: Translucent boxes where bin volume is below a dynamic threshold (see formula below), often acting like low-friction corridors.
How it works
Slice the lookback’s high→low into N equal price bins.
Assign each bar’s closing price to a bin and add that bar’s volume to the bin total. A simple up/down-bar delta proxy drives the histogram’s tinting.
PoC = bin with the maximum accumulated volume.
Zero-Volume Voids = contiguous runs of bins with exactly zero volume (bounded by the first/last occupied bins).
Low-Volume Zones = contiguous runs of bins with volume below:
threshold = total_window_volume ÷ (divisor × number_of_bins)
Lower divisor → more LV boxes; higher divisor → stricter/fewer boxes.
Note: This is a lightweight, chart-native approximation of a volume profile. Volume is binned by bar close (not by tick-level prints or intrabar distribution), so “voids”/“thin” areas reflect this approximation.
Key inputs
Lookback Period: Window for calculations.
Number of Volume Boxes (bins): Histogram resolution.
PoC / Show Histogram / Anchor to Right Side: Visibility and layout controls.
Low-Volume Threshold Divisor: Sensitivity for LV detection.
Colors & Labels: Customize zero-volume / low-volume box colors and optional labels with offsets.
How to use (educational, not signals)
Context: High-volume = acceptance; thin/zero-volume = inefficiency. Price often rotates near acceptance and moves faster through thin areas.
Revisits: On returns to prior voids/LV zones, watch for accelerated moves or fills; PoC can serve as a balance reference.
Confluence: Pair with trend tools (e.g., ADX), VWAP/session markers, or structure levels for timing and risk.
Limitations & performance
Bins use closing price only; intrabar distribution is not modeled.
Detections refresh on the live bar; visuals can be heavy on large lookbacks/high bin counts—reduce bins/lookback or hide labels if needed.
TRADE ORBIT:KALMEN & WAVE TREND WITH VP TRADE ORBIT: KALMAN + WAVE TREND WITH VOLUME PROFILE
//
// 🔹 Kalman Filter Trend Levels
// • Adaptive short & long Kalman lines
// • Candle coloring to show trend direction
// • Automatic boxes at trend flips (support/resistance zones)
// • Optional retest signals (+ for support, x for resistance)
//
// 🔹 Custom Volume Profile with Pivots
// • Builds volume distribution histogram over last N bars
// • Highlights Point of Control (PoC) with color-coded bias
// • Detects pivot highs/lows that overlap high-volume zones
// • Extends pivot levels until retested by price
//
// 🔹 WaveTrend Oscillator (LazyBear)
// • Plots WT1, WT2 and their difference
// • Configurable OB/OS levels
// • Buy signals: WT1 crosses above WT2 below OS zone
// • Sell signals: WT1 crosses below WT2 above OB zone
//
// 🎯 Use Cases
// • Trend following with Kalman filter
// • Confirm support/resistance with Volume Profile
// • Time entries/exits with WaveTrend signals
//
// ➝ An all-in-one tool combining trend, volume, and oscillator confirmation
// ──────────────────────────────────────────────────────────────────────────
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility
The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics.
Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved.
The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment.
The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score.
For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged.
Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk.
Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods.
To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample.
Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value.
Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them.
Quantum Trading Matrix — multi-factor intraday dashboard (educational use only).
Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence.
Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments.
Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital.
Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses.
________________________________________
Risk & Misuse Disclaimer
This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool.
________________________________________
Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Anchored Grids ft. VolumeINTRO
The 'Volume Profile' is a great tool, isn’t it? It shows us where volume has accumulated on the chart and helps guide trading decisions. The only catch is that we can’t really choose the levels—it’s all based on where volume happens to cluster. But what if we reversed the logic and measured the volume at the levels we define? That’s exactly what this script does, giving you a fresh way to spot support and resistance :)
OVERVIEW
'Anchored Grids ft. Volume' is a sophisticated technical analysis tool that combines price grid analysis with volume accumulation metrics. This indicator dynamically calculates and displays custom support and resistance levels based on a user-defined timeframe, while simultaneously tracking and visualizing volume accumulation at each specific price level. Unlike traditional volume profile indicators that use complex statistical clustering, this tool provides straightforward volume measurement at predetermined technical levels. It answers a critical question: "How much trading activity occurred near the key price levels I care about?".
HOW DOES THIS INDICATOR WORK?
This indicator builds a customizable grid system anchored to the opening price of any user-selected timeframe (hourly, daily, weekly, etc.). From that anchor point, it continuously tracks the highest high and lowest low, then calculates equidistant grid levels within that range. Two calculation modes are available—Arithmetic and Geometric—allowing flexibility in how the levels are distributed.
Once the grid is established, a volume accumulation engine comes into play. For each price bar, the script checks whether the bar’s range intersects with any level’s tolerance zone (default 0.01%). If a touch is detected, that bar’s volume is added to the corresponding level. Over time, this process builds a clear picture of where significant trading activity has clustered.
The visualization system highlights these dynamics by applying a color gradient based on volume intensity and adjusting line thickness proportional to accumulated volume. Each level is also labeled with four key data points:
The grid number (in square brackets)
The price of the level
The percentage distance between the level and the opening price of the selected timeframe
The total volume accumulated within the level’s tolerance range
PARAMETERS
Timeframe: Defines the anchor period for grid calculation. Then, the indicator automatically determines the open, high, and low prices.
Mode: This option determines how the distance between levels is calculated: Arithmetic (linear) means equal price spacing between levels, while Geometric (logarithmic) means equal percentage spacing between levels.
Grids: It's the number of levels between high and low.
Color: Base color for grid lines and labels. When volume data is displayed, lower values are darkened by 50%.
Show Volume Accumulation: When this parameter is activated, the volume calculation is enabled.
Tolerance : The Tolerance parameter (default range: 0.01%) defines the price range around each grid level where volume accumulation is registered. It acts as a sensitivity control that determines how close price must be to a level to count trading volume toward that level's accumulation.
ORIGINALITY
It’s possible to find comprehensive grid-drawing tools among community indicators, but I haven’t come across an example that combines this concept with volume data. More importantly, I wanted to demonstrate how volume accumulation can be generated for any data modeled as an array on the chart by developers.
SUMMARY
In conclusion, the selected timeframe and the number of grids are only used as a reference to determine where the levels are drawn. The true value of this indicator lies in its ability to calculate volume accumulation directly from the chart’s own candles, showing how much trading activity occurred around each level. The result is a hybrid framework that merges structural price analysis with volume distribution, offering traders deeper insights into where markets are likely to react.
NOTE
While powerful, this tool should be used as part of a comprehensive trading strategy rather than as a standalone system. Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Fair Value Gap Suite Adrian V1.0.0Brief description
The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules.
What makes the script unique (originality/added value)
Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score).
MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering).
Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range.
Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session).
Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap.
Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event.
Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters.
How it works (conceptually)
FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points.
Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100.
MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity).
Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas.
Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation.
Important inputs
Min. FVG size: × ATRor ticks/points
Min. displacement score: (0–100)
MTF list:
BOS/CHOCH filter: On/Off (Lookback candles)
Session filter: NY/LDN/Asia (local time, weekend toggle)
Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off
Fill definitions: Partial fill ≥ % of the gap; Full fill = 100%
Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off
Alerts (names & triggers)
FVG Suite – First Touch: Price touches an active FVG zone for the first time.
FVG Suite – Partial Fill: Partial fill ≥ configured threshold.
FVG Suite – Full Fill: Gap completely filled.
FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.)
Use (best practices)
Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools.
Use session filters to avoid news spikes/illiquid periods.
Calibrate parameters for each market/TF (ATR/volume profiles differ).
Limitations
Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds).
Spreads/news can generate “pseudo fills.”
Backtests/statistics are sample-dependent; no guarantee of results.
Changelog
v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts).
Credits
FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development.
Note/disclaimer
No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
Fair Value Gap Suite Adrian V1.0.0Brief description
The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules.
What makes the script unique (originality/added value)
Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score).
MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering).
Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range.
Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session).
Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap.
Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event.
Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters.
How it works (conceptually)
FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points.
Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100.
MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity).
Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas.
Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation.
Important inputs
Min. FVG size: × ATRor ticks/points
Min. displacement score: (0–100)
MTF list:
BOS/CHOCH filter: On/Off (Lookback candles)
Session filter: NY/LDN/Asia (local time, weekend toggle)
Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off
Fill definitions: Partial fill ≥ % of the gap; Full fill = 100%
Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off
Alerts (names & triggers)
FVG Suite – First Touch: Price touches an active FVG zone for the first time.
FVG Suite – Partial Fill: Partial fill ≥ configured threshold.
FVG Suite – Full Fill: Gap completely filled.
FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.)
Use (best practices)
Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools.
Use session filters to avoid news spikes/illiquid periods.
Calibrate parameters for each market/TF (ATR/volume profiles differ).
Limitations
Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds).
Spreads/news can generate “pseudo fills.”
Backtests/statistics are sample-dependent; no guarantee of results.
Changelog
v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts).
Credits
FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development.
Note/disclaimer
No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
Institutional Analyst LLM📊 Institutional Analyst Board LLM – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto 🔍 Overview The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI...
PTS Ultimate Analysis Board (Flexible Position + Ticker)
GoldenTradeClub
GoldenTradeClub
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Trading Engine AI Light
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Elliott Wave Complete
GoldenTradeClub
GoldenTradeClub
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💀⚡ PTS WIZARD 666™ ULTIMATE SUPREME V5.0 - COMPLETE FIXED ⚡💀
GoldenTradeClub
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🔥 PTS TRADE 666™ ULTIMATE BOOKMAP + QUANTUM ENGINE
GoldenTradeClub
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Institutional Analyst Board
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Jul 19
📊 Institutional Analyst Board – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto
🔍 Overview
The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI bias, VWAP positioning, and Break of Structure (BoS)—into a single powerful visual dashboard.
This indicator is especially optimized for Gold (XAUUSD) but is also compatible with Crypto and Forex assets.
🧠 Key Features
✅ Multi-Timeframe Dashboard (5M / 15M / 1H)
✅ Order Block Detection with dynamic zones that extend until broken
✅ Fair Value Gap Detection with clear zone shading and border distinction
✅ MACD + RSI Confluence for momentum and bias alignment
✅ VWAP Positioning to identify premium/discount zones
✅ Liquidity Sweeps (internal/external range breaks)
✅ Killzone Highlighting (Asia / London / New York)
✅ Break of Structure (BoS) with advanced confluence filters
✅ Gold Bias Flags across timeframes (BUY / SELL / NEUTRAL)
✅ Dynamic Price Watermark with real-time data
✅ Fully customizable colors, transparencies, and text labels
🧠 How It Works
The Board uses institutional logic to analyze the chart in real time:
Metric Purpose
OB Zones Highlight potential smart money footprints where price is likely to react.
FVG Zones Identify imbalance areas between buyers and sellers—ideal for mean reversion entries.
MACD/RSI Confirm momentum direction and relative strength confluence.
VWAP Determine whether price is trading at a premium or discount.
Liquidity Sweeps Detect manipulative moves before major reversals.
BoS Mark potential trend reversals, filtered by institutional confluence.
Each signal is computed across 3 timeframes and visualized in a clean board that updates live. You’ll also see labels, alerts, and session overlays for maximum clarity.
📌 Ideal Use Case
This tool is perfect for:
Funded Challenge Traders (FTMO, MyForexFunds, etc.)
Gold scalpers and intraday traders
Crypto price action traders using BTC, ETH, SOL, etc.
Smart Money Concept (SMC) and ICT followers
⚙️ Customization Options
Toggle each module (OB, FVG, VWAP, MACD/RSI, etc.)
Set transparency and color for each zone type
Adjust Killzone timing (Asia, London, NY)
Control board position (Top/Bottom) and metric visibility
📈 Compatible Assets
✅ XAUUSD (optimized)
✅ Forex majors/minors
✅ Crypto pairs (BTC, ETH, SOL, etc.)
✅ Indices (GER40, NASDAQ, SPX with minor adaptation)
🛠️ Requirements
Use on TradingView v5
Set chart time to UTC+0 or UTC+3 for optimal Killzone accuracy
For crypto, redefine Killzone hours if needed (24/7 market)
🧠 Pro Tip
Pair this indicator with volume profile tools, CVD/Delta Flow, or Footprint overlays to build high-confidence trade setups with clear institutional confluence.
Quantum Dip Hunter | AlphaNattQuantum Dip Hunter | AlphaNatt
🎯 Overview
The Quantum Dip Hunter is an advanced technical indicator designed to identify high-probability buying opportunities when price temporarily dips below dynamic support levels. Unlike simple oversold indicators, this system uses a sophisticated quality scoring algorithm to filter out low-quality dips and highlight only the best entry points.
"Buy the dip" - but only the right dips. Not all dips are created equal.
⚡ Key Features
5 Detection Methods: Choose from Dynamic, Fibonacci, Volatility, Volume Profile, or Hybrid modes
Quality Scoring System: Each dip is scored from 0-100% based on multiple factors
Smart Filtering: Only signals above your quality threshold are displayed
Visual Effects: Glow, Pulse, and Wave animations for the support line
Risk Management: Automatic stop-loss and take-profit calculations
Real-time Statistics: Live dashboard showing current market conditions
📊 How It Works
The indicator calculates a dynamic support line using your selected method
When price dips below this line, it evaluates the dip quality
Quality score is calculated based on: trend alignment (30%), volume (20%), RSI (20%), momentum (15%), and dip depth (15%)
If the score exceeds your minimum threshold, a buy signal arrow appears
Stop-loss and take-profit levels are automatically calculated and displayed
🚀 Detection Methods Explained
Dynamic Support
Adapts to recent price action
Best for: Trending markets
Uses ATR-adjusted lowest points
Fibonacci Support
Based on 61.8% and 78.6% retracement levels
Best for: Pullbacks in strong trends
Automatically switches between fib levels
Volatility Support
Uses Bollinger Band methodology
Best for: Range-bound markets
Adapts to changing volatility
Volume Profile Support
Finds high-volume price levels
Best for: Identifying institutional support
Updates dynamically as volume accumulates
Hybrid Mode
Combines all methods for maximum accuracy
Best for: All market conditions
Takes the most conservative support level
⚙️ Key Settings
Dip Detection Engine
Detection Method: Choose your preferred support calculation
Sensitivity: Higher = more sensitive to price movements (0.5-3.0)
Lookback Period: How far back to analyze (20-200 bars)
Dip Depth %: Minimum dip size to consider (0.5-10%)
Quality Filters
Trend Filter: Only buy dips in uptrends when enabled
Minimum Dip Score: Quality threshold for signals (0-100%)
Trend Strength: Required trend score when filter is on
📈 Trading Strategies
Conservative Approach
Use Dynamic method with Trend Filter ON
Set minimum score to 80%
Risk:Reward ratio of 2:1 or higher
Best for: Swing trading
Aggressive Approach
Use Hybrid method with Trend Filter OFF
Set minimum score to 60%
Risk:Reward ratio of 1:1
Best for: Day trading
Scalping Setup
Use Volatility method
Set sensitivity to 2.0+
Focus on Target 1 only
Best for: Quick trades
🎨 Visual Customization
Color Themes:
Neon: Bright cyan/magenta for dark backgrounds
Ocean: Cool blues and teals
Solar: Warm yellows and oranges
Matrix: Classic green terminal look
Gradient: Smooth color transitions
Line Styles:
Solid: Clean, simple line
Glow: Adds depth with glow effect
Pulse: Animated breathing effect
Wave: Oscillating wave pattern
💡 Pro Tips
Start with the Trend Filter ON to avoid catching falling knives
Higher quality scores (80%+) have better win rates but fewer signals
Use Volume Profile method near major support/resistance levels
Combine with your favorite momentum indicator for confirmation
The pulse animation can help draw attention to key levels
⚠️ Important Notes
This indicator identifies potential entries, not guaranteed profits
Always use proper risk management
Works best on liquid instruments with good volume
Backtest your settings before live trading
Not financial advice - use at your own risk
📊 Statistics Panel
The live statistics panel shows:
Current detection method
Support level value
Trend direction
Distance from support
Current signal status
🤝 Support
Created by AlphaNatt
For questions or suggestions, please comment below!
Happy dip hunting! 🎯
Not financial advice, always do your own research
OI BTC Profile# 🚀 Bitcoin Open Interest Profile
## 📊 **What is this indicator?**
The **Bitcoin Open Interest Profile** is an advanced indicator developed in Pine Script v6 that visualizes the distribution of Bitcoin's Open Interest (OI) across different price levels, similar to a Volume Profile but using Open Interest data.
## 🎯 **Key Features**
### **Open Interest Analysis**
- **Dual Mode**: Visualizes both absolute OI value and net changes
- **Data Source**: Uses Open Interest data from BINANCE:BTCUSDT.P-OI
- **Configurable Lookback**: Up to 1000 historical bars for analysis
### **Professional Visualization**
- **Horizontal Profile**: Horizontal bars showing OI concentration by price level
- **Point of Control (POC)**: Automatically identifies the level with highest OI concentration
- **Rolling POC**: Option to display dynamic POC in real-time
### **Advanced Customization**
- **3 Color Schemes**:
- **OI Gradient**: Colors by Open Interest intensity
- **Bull/Bear**: Green for increases, red for decreases
- **Custom**: Customizable color
- **Adjustable Histogram**: Width, position, and orientation configurable
- **Up to 500 levels**: Ultra-high resolution for detailed analysis
## 🔧 **Configurable Parameters**
### **Basic Settings**
- `Lookback`: Number of bars to analyze (1-1000)
- `Row Size`: Profile resolution (1-500 levels)
- `Rolling POC`: Show dynamic POC
- `OI Calculation`: Absolute value or net change
### **Style Settings**
- `Width`: Histogram width (% of range)
- `Bar Width`: Bar thickness
- `Flip Histogram`: Invert orientation
- `Color Schemes`: Multiple coloring options
## 📈 **Trading Applications**
### **Support and Resistance Analysis**
- Identifies levels with highest concentration of open positions
- POC acts as a magnetic price attractor
### **Liquidity Zone Detection**
- High OI levels may indicate potential liquidation zones
- Useful for identifying stop-loss clusters
### **Sentiment Analysis**
- OI changes reveal accumulation or distribution patterns
- Difference between absolute value and net changes provides context
### **Entry Timing**
- Rolling POC can act as dynamic support/resistance
- Confluence with traditional technical analysis
## 💡 **Competitive Advantages**
### **Optimized Performance**
- Maximum 500 simultaneous lines for smooth operation
- Efficient calculations with native arrays
- Compatible with multiple timeframes
### **Total Flexibility**
- Adaptable to different trading strategies
- Granular configuration for each trader
- Overlay that doesn't interfere with price analysis
### **Institutional Data**
- Access to market-moving metrics
- Information not available in traditional indicators
- Informational advantage over retail traders
## 🚨 **Recommended Use Cases**
### **Scalping and Day Trading**
- Use high resolution (300-500 rows) with short lookback (50-100 bars)
- Rolling POC as intraday reference
### **Swing Trading**
- Medium resolution (100-200 rows) with extended lookback (200-500 bars)
- Focus on high OI levels for targets
### **Positional Analysis**
- Maximum lookback (500-1000 bars) for historical context
- Identification of accumulation/distribution zones
## 🎨 **Visual Examples**
The indicator generates a horizontal profile showing:
- **Longer bars**: Higher Open Interest concentration
- **POC (dotted line)**: Level of maximum interest
- **Color gradient**: OI intensity or bull/bear sentiment
## 🔥 **Why is it unique?**
1. **First of its kind**: Combines volume analysis with derivatives metrics
2. **Institutional precision**: Real-time Open Interest data
3. **Extreme versatility**: Adaptable to any trading style
4. **Optimized performance**: Efficient code for professional use
## 📞 **Feedback and Improvements**
Would you like to see any additional functionality? Any specific parameters for your strategy?
---
*Developed by an experienced trader for experienced traders. Compatible with Pine Script v6 and optimized for Bitcoin, but adaptable to other instruments with available OI data.*
Support & Resistance ZonesAdvanced Support & Resistance Detection Algorithm
This indicator identifies meaningful price levels by analyzing market structure using a proprietary statistical approach. Unlike traditional methods that rely on simple swing highs/lows or moving averages, this system dynamically detects zones where price has shown consistent interaction, revealing true areas of supply and demand.
Core Methodology
Price Data Aggregation
Collects highs and lows over a configurable lookback period.
Normalizes price data to account for volatility, ensuring levels remain relevant across different market conditions.
Statistical Significance Filtering
Rejection of random noise: Eliminates insignificant price fluctuations using adaptive thresholds.
Volume-weighted analysis (implied): Stronger reactions at certain price levels are given higher priority, even if volume data is unavailable.
Dynamic Level Extraction
Density-based S/R Zones: Instead of fixed swing points, the algorithm identifies zones where price has repeatedly consolidated.
Time decay adjustment: Recent price action has more influence, ensuring levels adapt to evolving market structure.
Strength Quantification
Each level is assigned a confidence score based on:
Touch frequency: How often price revisited the zone.
Reaction intensity: The magnitude of bounces/rejections.
Time relevance: Whether the level remains active or has been broken decisively.
Adaptive Level Merging & Pruning
Proximity-based merging: If two levels are too close (within a volatility-adjusted threshold), they combine into one stronger zone.
Decay mechanism: Old, untested levels fade away if price no longer respects them.
Why This Approach Works Better Than Traditional Methods
✅ No subjective drawing required – Levels are generated mathematically, removing human bias.
✅ Self-adjusting sensitivity – Works equally well on slow and fast-moving markets.
✅ Focuses on statistically meaningful zones – Avoids false signals from random noise.
✅ Non-repainting & real-time – Levels only update when new data confirms their validity.
How Traders Can Use These Levels
Support/Resistance Trading: Fade bounces off strong levels or trade breakouts with confirmation.
Confluence with Other Indicators: Combine with RSI, MACD, or volume profiles for higher-probability entries.
Stop Placement: Place stops just beyond key levels to avoid premature exits.
Technical Notes (For Advanced Users)
The algorithm avoids overfitting by dynamically adjusting zones sensitivity based on market conditions.
Unlike fixed pivot points, these levels adapt to trends, making them useful in both ranging and trending markets.
The strength percentage helps filter out weak levels—only trade those with a high score for better accuracy.
Note: Script takes some time to load.
Advanced ORB IndicatorAdvanced ORB (Opening Range Breakout) Indicator
Overview
The Advanced ORB Indicator is a sophisticated trading tool designed to capture high-probability breakout opportunities across multiple markets. By identifying the opening range of a trading session and detecting meaningful breakouts, this indicator helps traders enter trending moves with strong momentum while filtering out false signals.
Core Concept
The Opening Range Breakout strategy is based on the principle that the initial trading range of a session often defines key support and resistance levels. When price breaks convincingly beyond this range with proper confirmation, it frequently indicates the beginning of a directional move that can persist throughout the session.
Key Features
### Intelligent Market Detection
- Automatically identifies market type (US Stocks, Forex, Crypto, EU/Asia Stocks)
- Applies optimal default timings based on market characteristics
- Configurable time zones (Exchange, UTC, Local) for precise session timing
Customizable Session Settings
- Adjustable opening range duration (15-240 minutes)
- Flexible reset periods (Daily, Weekly, Monthly, or Never)
- Custom session start times to match specific market opens or pre-market periods
Advanced Signal Filtering
- Multi-factor confirmation system requiring strong candle bodies, proper wick ratios, and minimum breakout percentages
- Smart cooldown periods preventing clustered signals
- Retracement detection that resets signals after meaningful pullbacks
Quality Control Mechanisms
- Volume threshold filter for stronger conviction entries
- RSI-based filters to avoid overbought/oversold conditions
- Trend alignment validation using EMA and directional analysis
- Consecutive candle confirmation for higher reliability
Visual Clarity
- Clear high/low boundary visualization
- Comprehensive status panel showing current levels, trend status, and filter conditions
- Clean, non-repainting signal triangles at breakout points
Trading Applications
Stocks & ETFs
Perfect for capturing morning momentum after market open, especially effective on US equities where the first 30-60 minutes often set the tone for the day. Excellent for gap fills, trend continuations, and reversal confirmations.
Forex & Futures
Ideal for session-based strategies around London/New York opens, capturing institutional order flow as major players enter the market. Can be configured for H4/H1 longer-term breakouts in 24-hour markets.
Cryptocurrency
Powerful for identifying key breakout levels in volatile crypto markets, with adjustable parameters to filter out noise while catching significant moves. Especially effective during high-volume periods following consolidation.
Strategic Implementation
The indicator excels when used as part of a complete trading system. Consider these approaches:
1. Pure Momentum Strategy: Enter on signal, exit at fixed R:R or end of session
2. Trend Continuation: Only take signals in the direction of the higher timeframe trend
3. Support/Resistance Validation: Combine with key S/R levels for higher probability entries
4. Volume Profile Confirmation: Use in conjunction with volume profile to verify breakout significance
Optimization Tips
- Adjust Opening Range Duration based on market volatility (shorter for choppy markets, longer for trending)
- Increase filter requirements during uncertain market conditions
- Loosen filters during strong trending environments
- Use longer durations (120+ minutes) for swing trading setups
- Consider Weekly/Monthly reset periods for positional trading approaches
Performance Notes
The Advanced ORB Indicator is designed to produce fewer, higher-quality signals rather than frequent low-conviction entries. The multiple confirmation requirements mean you'll catch fewer false breakouts at the expense of occasionally later entries.
For best results, combine with proper risk management, position sizing, and an understanding of the broader market context.
*This indicator works on all timeframes but performs optimally on 1-minute to 15-minute charts for intraday trading and 1-hour to 4-hour charts for swing trading opportunities.*
// @version=5
indicator("Advanced ORB Indicator", overlay=true)
// ===================================================================
// SIGNAL REQUIREMENTS DOCUMENTATION
// ===================================================================
//
// BULL SIGNAL REQUIREMENTS:
// - ORB period must be completed (not in the opening range duration anymore)
// - Price must close above the ORB high (if waitForClose is enabled)
// - Candle must have a strong body (body to range ratio >= minBodyToRangeRatio)
// - Valid upper wick (upper wick to body ratio <= wickThreshold)
// - Bullish candle (close > open)
// - Consecutive candle confirmation (if enabled, requires multiple candles meeting criteria)
// - Volume filter (if enabled, volume > average volume * threshold)
// - RSI filter (if enabled, RSI must not be overbought)
// - EMA filter (if enabled, price must be above short EMA)
// - Trend filter (if enabled, must be in an uptrend)
// - Cooldown period satisfied (minimum bars between signals)
// - Not already signaled a bull breakout for this ORB (unless reset by retracement)
//
// BEAR SIGNAL REQUIREMENTS:
// - ORB period must be completed (not in the opening range duration anymore)
// - Price must close below the ORB low (if waitForClose is enabled)
// - Candle must have a strong body (body to range ratio >= minBodyToRangeRatio)
// - Valid lower wick (lower wick to body ratio <= wickThreshold)
// - Bearish candle (close < open)
// - Consecutive candle confirmation (if enabled, requires multiple candles meeting criteria)
// - Volume filter (if enabled, volume > average volume * threshold)
// - RSI filter (if enabled, RSI must not be oversold)
// - EMA filter (if enabled, price must be below short EMA)
// - Trend filter (if enabled, must be in a downtrend)
// - Cooldown period satisfied (minimum bars between signals)
// - Not already signaled a bear breakout for this ORB (unless reset by retracement)
//
// SIGNAL RESET CONDITIONS (for both bull and bear):
// - A significant price retracement happens (determined by retracePercent)
// - Cooldown period expires (minimum bars between signals)
// ===================================================================
// ===================================================================
// SETTINGS GUIDE - DETAILED EXPLANATION
// ===================================================================
//
// MARKET SETTINGS
// ---------------------------------------------------------------------
// Market Type: Select your market or use auto-detection
// - US Stocks: NYSE, NASDAQ, etc. (9:30 AM default open)
// - Forex: Currency pairs (uses midnight or London open)
// - Crypto: Digital currencies (uses midnight UTC)
// - EU Stocks: European exchanges (9:00 AM default)
// - Asia Stocks: Asian exchanges (9:00 AM default)
// - Custom: Manually set your preferred session time
//
// Auto-Detect Market Type: Automatically identifies the market from symbol
// - Enable for convenience when switching between different markets
// - Disable to manually set your preferred market type
//
// Use Market Default Timing: Applies optimal session start times for selected market
// - Enable to use proven default timings for the market
// - Disable to set custom session start times
//
// Time Zone: Sets the reference time zone for session calculations
// - Exchange: Uses the exchange's native time zone (recommended)
// - UTC: Uses Coordinated Universal Time
// - Local: Uses your local computer's time zone
//
// TIME SETTINGS
// ---------------------------------------------------------------------
// Session Start Hour/Minute: Sets when the opening range begins
// - Only active when "Use Market Default Timing" is disabled
// - US Stocks typically use 9:30 AM
// - For pre-market analysis, try 4:00 AM (US) or 8:00 AM (EU)
//
// Opening Range Duration: How long to measure the initial range (minutes)
// - 30-60 mins: Standard for daily ORB strategies
// - 15 mins: More responsive, good for volatile markets
// - 120 mins: More stable, fewer false signals
//
// Reset Period: When to calculate a new opening range
// - Daily: Most common, resets each trading day
// - Weekly: Weekly opening range breakout strategy
// - Monthly: Long-term support/resistance levels
// - Never: Continuous tracking without resetting
//
// SIGNAL QUALITY SETTINGS
// ---------------------------------------------------------------------
// Minimum Bars Between Signals: Prevents clustering of multiple signals
// - Higher values (8-10): Fewer signals, better quality
// - Lower values (3-5): More signals, requires more filtering
//
// Required Retracement % Before New Signal: How far price must pull back
// - Higher values (50-60%): Only signals after significant pullbacks
// - Lower values (20-30%): More signals, may include false breakouts
//
// Minimum Breakout % Required: Strength needed for valid breakout
// - Higher values (0.5-1.0%): Stronger confirmation, fewer false breakouts
// - Lower values (0.1-0.3%): More sensitive, good for low-volatility
//
// Minimum Body to Range Ratio %: Requires strong candles for signals
// - Higher values (70-80%): Only strong momentum candles trigger signals
// - Lower values (40-50%): More signals, includes weaker breakouts
//
// BREAKOUT SETTINGS
// ---------------------------------------------------------------------
// Max Wick to Body Ratio: Controls acceptable candle shape
// - Lower values (0.2-0.3): Only clean breakout candles
// - Higher values (0.5-0.6): More signals, includes wicks
//
// Use Close Price: Uses close instead of High/Low for breakouts
// - Enable for more reliable but delayed confirmation
// - Disable for earlier signals using High/Low prices
//
// Wait for Candle Close: Only signals after candle completes
// - Enable to avoid false breakouts (recommended)
// - Disable for earlier entry but higher risk
//
// FILTER SETTINGS
// ---------------------------------------------------------------------
// Filter Signals Based on Trend: Aligns signals with the overall trend
// - Enable to filter out counter-trend signals (recommended)
// - Disable for range-bound markets or counter-trend strategies
//
// Trend Detection Period: Lookback period for trend calculation
// - Longer periods (50-100): Identifies major trends
// - Shorter periods (20-30): More responsive to recent price action
//
// Trend Strength Threshold: How strong trend must be
// - Higher values (0.7-0.8): Only strong trends generate signals
// - Lower values (0.5-0.6): More signals in choppy markets
//
// Use Volume Filter: Requires above-average volume for signals
// - Enable for stocks and futures (recommended)
// - May disable for some forex pairs with unreliable volume data
//
// Volume Threshold: How much above average volume is required
// - Higher values (2.0-3.0x): Only significant volume spikes
// - Lower values (1.2-1.5x): More signals, less volume confirmation
//
// Use RSI Filter: Prevents signals in overbought/oversold conditions
// - Enable to avoid exhausted moves
// - Disable for strong trend following
//
// Use EMA Alignment Filter: Ensures price is in the right direction
// - Enable for trend confirmation (recommended)
// - Disable for early reversal signals
//
// Require Consecutive Candle Confirmation: Needs multiple confirming candles
// - Enable for higher quality signals
// - Disable for faster but riskier entries
//
// DISPLAY SETTINGS
// ---------------------------------------------------------------------
// Show Label with Values: Displays current ORB levels and status
// Show Range Boundaries: Displays high/low lines on chart
// High/Low Boundary Color: Customize appearance
//
// ===================================================================
// RECOMMENDED SETTINGS BY MARKET TYPE
// ===================================================================
//
// US STOCKS - STANDARD
// ---------------------------------------------------------------------
// - Market Type: US Stocks
// - Opening Range Duration: 30 minutes
// - Reset Period: Daily
// - Wait for Candle Close: Enabled
// - Use Volume Filter: Enabled (Volume Threshold: 1.5-2.0x)
// - Use Trend Filter: Enabled
// - Minimum Breakout %: 0.3-0.5%
//
// US STOCKS - EARNINGS/HIGH VOLATILITY
// ---------------------------------------------------------------------
// - Opening Range Duration: 60 minutes (more stable)
// - Minimum Breakout %: 0.7-1.0% (stronger moves required)
// - Minimum Bars Between Signals: 8-10 (avoid whipsaws)
// - Required Retracement %: 40-50% (deeper pullbacks)
// - Volume Threshold: 2.5-3.0x (higher volume confirmation)
//
// CRYPTO
// ---------------------------------------------------------------------
// - Market Type: Crypto
// - Opening Range Duration: 120 minutes (crypto needs longer)
// - Reset Period: Daily
// - Minimum Breakout %: 1.0-1.5% (higher volatility needs stronger breakouts)
// - Volume Threshold: 2.0-2.5x
// - Consider disabling RSI Filter (trending crypto often stays overbought/oversold)
//
// FOREX - MAJOR PAIRS
// ---------------------------------------------------------------------
// - Market Type: Forex
// - Session Start: Consider 8:00 AM (London open) or 5:00 PM (Asian open)
// - Opening Range Duration: 60-120 minutes
// - Min Body to Range Ratio: 50-60% (forex can have smaller bodies)
// - Consider disabling Volume Filter (unreliable on some platforms)
// - Trend Strength Threshold: 0.6-0.7 (forex tends to trend well)
//
// EU STOCKS
// ---------------------------------------------------------------------
// - Market Type: EU Stocks
// - Opening Range Duration: 60 minutes
// - Reset Period: Daily
// - Use EMA Alignment: Enabled
// - Use Volume Filter: Enabled
//
// SMALL CAP/VOLATILE STOCKS
// ---------------------------------------------------------------------
// - Opening Range Duration: 15-30 minutes (captures early moves)
// - Minimum Breakout %: 1.0-2.0% (needs stronger breakouts)
// - Volume Threshold: 3.0x (needs significant volume)
// - Max Wick to Body Ratio: 0.3 (cleaner breakouts)
// - Use Consecutive Candle Confirmation: Enabled (2-3 candles)
//
// LOW VOLATILITY ENVIRONMENT
// ---------------------------------------------------------------------
// - Opening Range Duration: 30-60 minutes
// - Minimum Breakout %: 0.2-0.3% (lower threshold for tight ranges)
// - Required Retracement %: 20-30% (smaller pullbacks)
// - Consider disabling Consecutive Candle Confirmation
//
// HIGH VOLATILITY ENVIRONMENT
// ---------------------------------------------------------------------
// - Opening Range Duration: 60-120 minutes (more stable)
// - Minimum Breakout %: 0.8-1.5% (stronger confirmation)
// - Required Retracement %: 50-60% (deeper pullbacks)
// - Minimum Bars Between Signals: 8-10 (avoid choppy signals)
// - Use Consecutive Candle Confirmation: Enabled (2-3 candles)
// ===================================================================
Whispr IQ - Trading SystemWhispr IQ - Trading System
This advanced multi-component indicator combines several powerful analysis tools to provide a comprehensive view of market conditions and potential trading opportunities.
Key Components:
Kernel Regression Ribbon
Institutional Order Flow
Volume Profile
Order Blocks
Swing Points and Liquidity
Naked POC (Point of Control)
Fibonacci Levels
Zig Zag Patterns
Divergence Scanner
Squeeze Bands
How It Works:
Kernel Regression Ribbon
Uses kernel regression to create a smoothed ribbon of price action
Multiple timeframes analyzed to show short, medium and long-term trends
Color coding indicates bullish/bearish bias
Institutional Order Flow
Identifies areas of high volume and potential institutional activity
Highlights order blocks, liquidity levels, and fair value gaps
Helps visualize potential support/resistance zones
Volume Profile
Displays volume distribution at different price levels
Identifies high volume nodes and value areas
Useful for determining potential reversal points
Order Blocks
Highlights significant swing highs/lows with high volume
Indicates potential areas where large players may have placed orders
Useful for identifying key support/resistance levels
Swing Points and Liquidity
Marks major swing highs and lows
Highlights areas of potential liquidity buildup
Helps identify trend changes and potential reversal zones
Naked POC
Shows uncovered Points of Control from volume profile analysis
Indicates areas of high trading activity that price has moved away from
Potential magnet for price to return to
Fibonacci Levels
Plots key Fibonacci retracement and extension levels
Useful for identifying potential support, resistance and targets
Multiple Fibonacci sequences used for confirmation
Zig Zag Patterns
Identifies key swing highs and lows
Filters out minor price movements
Helps visualize overall trend structure
Divergence Scanner
Scans for regular and hidden divergences on multiple indicators
Signals potential trend reversals or continuations
Configurable to scan RSI, MACD, CCI and other oscillators
Squeeze Bands
Identifies periods of low volatility (squeezes)
Signals potential for explosive moves when volatility expands
Based on Bollinger Bands and Keltner Channel relationships
The Whispr IQ system combines all these elements to provide a holistic view of market conditions. Traders can use the various signals and overlays to identify high-probability trade setups, key support/resistance levels, trend direction on multiple timeframes, and potential reversals.
This indicator is designed for experienced traders who can interpret the multiple data points and use them in conjunction with their own analysis and risk management. It's a powerful tool that can enhance trading decisions when used properly as part of a complete trading plan.
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.
.srb suiteThe essential suite Indicator.
that are well integrated to ensure visibility of essential items for trading.
it is very cumbersome to put symbol in the Tradingview chart and combine essential individual indicators one by one.
Moreover even with such a combination, the chart is messy and visibility is not good.
This is because each indicator is not designed with the others in mind.
This suite was developed as a composite-solution to that situation, and will make you happy.
designed to work in the same pane with open-source indicator by default.
Recommended visual order ; Back = .srb suite, Front = .srb suite vol & info
individually turn on/off only what you need on the screen.
BTC-agg. Volume
4 BTC-spot & 4 BTC-PERP volume aggregated.
It might helps you don't miss out on important volume flows.
Weighted to spot trading volume when using PERP+spot volume .
If enabled, BTC-agg.Vol automatically applied when selecting BTC-pair.
--> This is used in calculations involving volumes, such as VWAP.
Moving Average
1 x JMA trend ribbon ; Accurately follow short-term trend changes.
3 x EMA ribbon ; zone , not the line.
MA extension line ; It provide high visibility to recognize the direction of the MA.
SPECIAL TOOLS
VWAP with Standard Deviation Bands
VWAP ruler
BB regular (Dev. 2.0, 2.5)
BB Extented (Dev. 2.5, 3.0, 3.5)
Fixed Range Volume Profile ; steamlined one, performace tuned & update.
SPECIAL TOOLS - Auto Fibonacci Retracement - New GUI
'built-in auto FBR ' has been re-born
It shows - retracement Max top/ min bottom ; for higher visibility
It shows - current retracement position ; for higher visibility
The display of the Fib position that exceeds the regular range is auto-determined according to the price.
tradingview | chart setting > Appearance > Top margin 0%, Bottom margin 0% for optimized screen usage
tradingview | chart setting > Appearance > Right margin 57
.srb suite vol & info --> Visual Order > Bring to Front
.srb suite vol & info --> Pin to scale > No scale (Full-screen)
Visual order ; Back = .srb suite, Front = .srb suite vol & info
1. Fib.Retracement core is from tradingview built-in FBR ---> upgrade new-type GUI, and performance tuned.
2. Fixed-range volume-profile core is from the open-source one ---> some update & perf.tuned.
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if you have any questions freely contact to me by message on tradingview.
but please understand that responses may be quite late.
Special thanks to all of contributors of community.
The script may be freely distributed under the MIT license.
VPLineVPLine is a brand-new line indicator which automatically draws historical POC line with volume profile histograms based on user input session and configurations.
A colossal amount of function is deployed on the indicator: historical POC line, historical VA, historical VA high/low, volume profile histograms, volume profile value text (bid/ask/total), threshold function that limits the extension of the POC line based on user input etc.
