Open Interest Profile [Fixed Range] - By LeviathanThis script generates an aggregated Open Interest profile for any user-selected range and provides several other features and tools, such as OI Delta Profile, Positive Delta Levels, OI Heatmap, Range Levels, OIWAP, POC and much more.
The indicator will help you find levels of interest based on where other market participants are opening and closing their positions. This provides a deeper insight into market activity and serves as a foundation for various different trading strategies (trapped traders, supply and demand, support and resistance, liquidity gaps, imbalances,liquidation levels, etc). Additionally, this indicator can be used in conjunction with other tools such as Volume Profile.
Open Interest (OI) is a key metric in derivatives markets that refers to the total number of unsettled or open contracts. A contract is a mutual agreement between two parties to buy or sell an underlying asset at a predetermined price. Each contract consists of a long side and a short side, with one party consenting to buy (long) and the other agreeing to sell (short). The party holding the long position will profit from an increase in the asset's price, while the one holding the short position will profit from the price decline. Every long position opened requires a corresponding short position by another market participant, and vice versa. Although there might be an imbalance in the number of accounts or traders holding long and short contracts, the net value of positions held on each side remains balanced at a 1:1 ratio. For instance, an Open Interest of 100 BTC implies that there are currently 100 BTC worth of longs and 100 BTC worth of shorts open in the market. There might be more traders on one side holding smaller positions, and fewer on the other side with larger positions, but the net value of positions on both sides is equivalent - 100 BTC in longs and 100 BTC in shorts (1:1). Consider a scenario where a trader decides to open a long position for 1 BTC at a price of $30k. For this long order to be executed, a counterparty must take the opposite side of the contract by placing a short order for 1 BTC at the same price of $30k. When both long and short orders are matched and executed, the Open Interest increases by 1 BTC, indicating the introduction of this new contract to the market.
The meaning of fluctuations in Open Interest:
- OI Increase - signifies new positions entering the market (both longs and shorts).
- OI Decrease - indicates positions exiting the market (both longs and shorts).
- OI Flat - represents no change in open positions due to low activity or a large number of contract transfers (contracts changing hands instead of being closed).
Typically, we monitor Open Interest in the form of its running value, either on a chart or through OI Delta histograms that depict the net change in OI for each price bar. This indicator enhances Open Interest analysis by illustrating the distribution of changes in OI on the price axis rather than the time axis (akin to Volume Profiles). While Volume Profile displays the volume that occurred at a given price level, the Open Interest Profile offers insight into where traders were opening and closing their positions.
How to use the indicator?
1. Add the script to your chart
2. A prompt will appear, asking you to select the “Start Time” (start of the range) and the “End Time” (end of the range) by clicking anywhere on your chart.
3. Within a few seconds, a profile will be generated. If you wish to alter the selected range, you can drag the "Start Time" and "End Time" markers accordingly.
4. Enjoy the script and feel free to explore all the settings.
To learn more about each input in indicator settings, please read the provided tooltips. These can be accessed by hovering over or clicking on the ( i ) symbol next to the input.
볼륨
Purple CloudThe above lines calculate several intermediate values used in the indicator's calculations. Here's a breakdown of each variable:
a1: Represents a modified Exponential Moving Average (EMA) of the high price series, subtracted by a Simple Moving Average (SMA) of the low price series.
a2: Takes the square root of the lowest value between the highest close price over the last 200 bars and the current close price, multiplied by a1.
b1: Represents a modified EMA of the low price series, subtracted by an SMA of the high price series.
b2: Takes the square root of the highest value between the lowest close price over the last 200 bars and the current close price, multiplied by b1.
c1: Represents the square root of a2 multiplied by b2.
These lines create multiple plots using the plot function. Each plot represents a displaced version of c1 by a certain multiple of the Average True Range (ATR) multiplied by a constant factor (0.1, 0.2, 0.3, etc.). The transparency (transp) is set to 100 for all plots.
All-In-One Auto Anchored VWAPsA chart isn't trendy without a VWAP (which stands for volume weighted average price).
This indicator allows you to choose 3 different anchored VWAPs, and customize the anchor period from one of many different options, including:
- Daily
- Weekly
- Monthly
- Quarterly
- Yearly
- All Time
- Specific Pivots
- Specific Sessions
You can then choose whether you want to anchor to the open, highest or lowest value within that period.
The indicator will automatically update every time a new anchor point is triggered. Every VWAP has colors and standard deviation bands as an optional setting.
As interest in the script grows I will continue to add new features.
Volume Profile Regression Channel [LuxAlgo]The Volume Profile Regression Channel calculates a volume profile from an anchored linear regression channel. Users can choose the starting and ending points for the indicator calculation interval.
Like a regular volume profile, a "line" of control (LOC), value area, and a developing LOC are displayed.
🔶 SETTINGS
Sections: The number of sections the linear regression channel is divided into for the calculation of the volume profile.
Width %: Determines the length of the profile within the channel relative to the channel length.
Value Area %: Highlights the sections starting from the POC whose accumulated volume is equal to the user-defined percentage of the total profile sections volume.
🔶 USAGES
Regular volume profiles are often constructed from a horizontal price area, this can allow highlighting price areas where most trading activity takes place.
However, when price is strongly trending a classical volume profile can sometimes be more uniform. This is where using an angled volume profile can be useful.
The line of control allows highlighting the section of the channel with the most accumulated volume, this line can be used as a potential future support/resistance. This is where an angled volume profile might be the most useful.
The developing LOC highlights the LOC location at a specific time within the profile (from left to right) and can sometimes provide an estimate of the underlying trend in the price.
🔶 DETAILS
To be computed the script requires a left and right chart time coordinates. When adding the script to their charts users can determine the left and right time coordinates by clicking on the chart.
The linear regression channel width is determined so that the channel precisely encompasses the whole price.
🔶 LIMITATIONS
Using a very large calculation interval can return timeouts. Users can reduce the calculation interval to fix that issue from occurring.
The amount of drawing objects that can be used is limited, as such using a high calculation interval can display an incomplete profile.
🔶 ACKNOWLEDGEMENTS
If you are interested in these types of scripts, @HeWhoMustNotBeNamed published a similar script where users can use a custom line angle. See his 'Angled Volume Profile' script from March 2023.
Volume Indicator (MA)Displays candles which have volume larger than the volume moving average (14-bars). Red is for down candles and Green is for up candles, works best on a light background.
5EMA BollingerBand Nifty Stock Scanner
What ?
We all heard about (well: over-heard) 5-EMA strategy. Which falls into the broader category of mean reversal type of trading setup.
What is mean reversal?
Price (or any time series, in fact) tries to follow a mean . Whenever price diverges from the mean it tries to meet it back.
It is empirically observed by some traders (I honestly don't know who first time observed it) that in Indian context specially, 5 Exponential Moving Average (5-EMA) works pretty good as that mean.
So whenever price moves away from that 5-EMA, it ultimately comes back and attain total nirvana :) Means: if price moved way higher than the 5EMA without touching it, then price will correct to meet it's 5-EMA and if price moved way lower, it will be uplifted to meet it's 5-EMA. Funny - but it works !
Now there are already enough social media coverage on this 5-EMA strategy/setup. Even TradingView has some excellent work done on these setups. Kudos to all those great souls.
So when we came to know about this, we were thinking what we should do for the community. Because it is well cover topic (specially in Indian context). Also, there are public indicators.
Then we thought why not come up with a scanner which will scan all the Nifty-50 constituent stocks and find out on the fly, real-time which all stocks are matching this 5-EMA setup and causing a Buy/Sell trade recommendation.
Hence here we are with the first version of our first scanner on the 5EMA setup (well it has some more masala than merely a 5-EMA setup).
Why?
Parts of why is already covered up.
Now instead of blindly following 5-EMA setup, we added the Bollinger band as well. Again: it's also not new. There are enough coverage in social media about the 5-EMA+BB strategy/setup. We mercilessly borrowed from all of these.
Suppose you have an indicator.
Now you apply the indicator in your chart. And then you need to (rock) and roll through your watchlist of Nifty-50 stocks (note: TradingView has no default watchlist of Nifty-50 stock by default - you have to create one custom watchlist to list all manually) to find out which all are matching the setup, need to take a note about the trade recomendations (entry, SL, target) and other stuffs like VWAP, Volume, volatility (Bollinger Band Width).
Not any more.
This scanner will track all the Nifty-50 stocks (technically: 40 stocks other than Banking stocks) and provide which one to Buy or Sell (if any), what's the entry, SL, target, where is the VWAP of the day, what's the picture in volume (high, low, rising, falling) and the implied volatility (using Bolling band width). Also it has a naive alerting mechanism as well.
In fact the code is there to monitor the (Future) OI also and all the OI drama (OI vs price and all the 4 stuffs like long build up, long unwinding, short covering, short buildup). But unfortunately, due to some limitations of the TradingView (that one can not monitor more than 40 `ta.security` call) we have to comment out the code. If you wish you can monitor only 20 stocks and enable the OI monitoring also (20 for stocks + 20 for their OI monitoring .. total 40 `ta.security` call).
How?
To know the divergence from 5-EMA we just check if the high of the candle (on closing) is below the 5-EMA. Then we check if the closing is inside the Bollinger Band (BB). That's a Buy signal. SL: low of the candle, T: middle and higher BB.
Just opposite for selling. 5-EMA low should be above 5-EMA and closing should be inside BB (lesser than BB higher level). That's a Sell signal. SL: high of the candle, T: middle and lower BB.
Along with we compare the current bar's volume with the last-20 bar VWMA (volume weighted moving average) to determine if the volume is high or low.
Present bar's volume is compared with the previous bar's volume to know if it's rising or falling.
VWAP is also determined using `ta.vwap` built-in support of TradingView.
The Bolling Band width is also notified, along with whether it is rising or falling (comparing with previous candle).
Simple, but effective.
Customization
As usual the EMA setup (5 default), the BB setup (20 SMA with 1.5 standard deviation), we provided option wherther to include or exclude BB role in the 5-EMA setup (as we found out there are two schools of thought .. some people use BB some don't. Lets make all happy :))
We also provide options to choose other symbols using Settings if they wish so. We have the default 40 non banking Nifty stocks (why non-banking? - Bank Nifty is in ATH :) .. enough :)). But if user wishes can monitor others too (provided the symbol is there in TradingView).
Although we strongly recommend the timeframe as 30 minutes , you can choose what's fit you most.
The output of the scanner is a table. By default the table is placed in the right-bottom (as we are most comfortable with that). However you can change per your wish. We have the option to choose that.
What is unique in it ?
This is more of an indicator. This is a scanner (of Nifty-50 stocks). So you can apply (our recommendation is in 30m timeframe) it to any chart (does not matter which chart it is) and it will show every 30 mins (which is also configurable) which all stocks (along with trade levels) to Buy and Sell according to the setup.
It will ease your trading activity.
You can concentrate only on the execution, the filtering you can leave it to this one.
Limitations
There is a build in limitation of the TradingView platform is that one can call only upto 40 securities API. Not beyond that. So naturally we are constraint by that. Otherwise we could monitor 190 Nifty F&O stocks itself.
30m is the recommended timeframe. In very lower (say 5m) this script tends to go out of heap (out of memory). Please note that also.
How to trade using this?
Put any chart in 30m (recommended) timeframe.
Apply this screener from Indicators (shortcut to launch indicators is just type / in your keyboard).
This will provide the Buy (shown in green color) or Sell (shown in red color) recommendations in a table, at every 30m candle closing.
Note the volume and BB width as well.
Wait for at least 2 5-minutes candles to close above/below the recommended level .
Take the trade with the SL and target mentioned.
Mentions
@QuantNomad. The whole implementation concept we mercilessly borrowed from him, even some of his code snippet we took it (after asking him through one of his videos comment section and seeking explicit permission which he readily granted within an hour). Thank You sir @QuantNomad. Indebted to you.
Monika (Rawat) ji: for reviewing, correcting, providing real time examples during live market hours, often compromising her own trading activities, about the effectiveness and usefulness of this setup. Thank You madam ji. Indebted to you.
There are innumerable contents in social media about this. Don't even know whom all we checked. Thanks to all of them.
Happy Trading (in stocks - isn't enough of Indices already?)
Disclaimer
This piece of software does not come up with any warrantee or any rights of not changing it over the future course of time.
We are not responsible for any trading/investment decision you are taking out of the outcome of this indicator.
High Volume Candles Detector - Open Source CodeGreetings, fellow traders!
Throughout my trading career, I've been intrigued by the dynamic interplay between candlestick patterns and trading volume. This fascination led me to develop an open-source indicator to help illuminate these patterns for the broader trading community.
Upon researching the Public Library, I found that many indicators relating to candlestick/volume analysis are proprietary and not open-source. This discovery further fueled my commitment to contribute a free, accessible tool that traders of all levels can utilize in their technical analysis.
Thus, I am excited to present to you our High Volume Bars Indicator. A unique tool that I believe fills a gap in the Public Library. I truly hope you find it beneficial in your trading journey and that it empowers you to make more informed decisions.
Description:
The High Volume Bars Detector is designed to help traders identify bars with significantly higher volume than the average. Users can filter in the settings menu:
1) The length of the Simple Moving Average (SMA) for volume, allowing you to define the average volume over a specific number of bars.
2) The Volume Multiplier, a factor that determines how much greater the volume of a bar should be compared to the SMA to qualify as a high-volume bar.
3) The Lookback Period, a specified number of candles used as a comparative benchmark for identifying the highest volume.
4) If the Volume bar is green or red, so if the candle price is --> close > open or open > close
Examples to better understand the logic of the indicator:
1) Length of the Simple Moving Average (SMA) for Volume: This setting allows you to define the average volume over a specific number of bars. For instance, if you set the SMA length to 20, the indicator will calculate the average volume of the past 20 bars and use it as a baseline to identify high volume bars.
2) Volume Multiplier: This is a critical factor that determines the threshold for what constitutes a high-volume bar. If you set the volume multiplier to 2.0, for example, the indicator will flag any bar where the volume is twice the value of the SMA volume as a high-volume bar.
3) Lookback Period: This setting lets you specify the number of candles that the indicator should consider when determining the highest volume. For instance, if the lookback period is set to 14, the indicator will compare the volume of the current bar with the volumes of the previous 14 bars. If the current bar's volume is the highest, it will be flagged.
4) Volume Bar Color: This filter helps you identify whether a high-volume bar is bullish or bearish. If the bar is green (close > open), it suggests buyers were dominant during that period. If the bar is red (open > close), it suggests sellers had the upper hand. By setting this filter, you can choose to focus on high volume bars that are either bullish (green) or bearish (red) or both, depending on your trading strategy.
Remember, these filters offer a level of customization that allows you to tailor the High Volume Bars Detector to your unique trading style and requirements. Always remember to adapt these settings to align with your overall trading plan and risk tolerance.
Keep attention!
It is important to note that no trading indicator or strategy is foolproof, and there is always a risk of losses in trading. While this indicator may provide useful information for making conclusions, it should not be used as the sole basis for making trading decisions. Traders should always use proper risk management techniques and consider multiple factors when making trading decisions.
Support me:)
If you find this new indicator helpful in your trading analysis, I would greatly appreciate your support! Please consider giving it a like, leaving feedback, or sharing it with your trading network. Your engagement will not only help me improve this tool but will also help other traders discover it and benefit from its features. Thank you for your support!
Volume Breakout by Chosen VolumeDescription:
The Volume Breakout indicator (VB) is a technical analysis tool that highlights candles with significant trading volume. It helps traders identify potential breakout periods characterized by high volume activity.
How it Works:
The Volume Breakout indicator compares the volume of each candle with a user-defined minimum volume threshold. If the volume of a candle exceeds or is equal to the specified minimum volume requirement, the indicator identifies it as a volume breakout and marks it accordingly.
Usage:
To effectively utilize the Volume Breakout indicator, follow these steps:
1. Apply the VB indicator to your chart by adding it from the available indicators.
2. Customize the minimum required volume parameter according to your trading preferences. This parameter determines the threshold volume level that a candle must meet or exceed to be considered a breakout candidate.
3. Observe the candles on the chart:
- Candles that meet or exceed the minimum required volume are highlighted with a specific color (yellow by default), indicating potential breakout periods.
4. Pay attention to the volume breakout indications within the candles, as they suggest periods of increased trading activity.
5. Analyze the price action accompanying the volume breakout candles. Breakouts often indicate a surge in buying or selling pressure, potentially leading to significant price moves or trend reversals.
6. Combine the analysis of volume breakout candles with other technical analysis tools, such as trend lines, support and resistance levels, or indicators, to confirm potential trade setups.
7. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
High Volume Candles by Time PeriodDescription:
The High Volume Candles indicator (HVC) is a technical analysis tool designed to identify candles with high trading volume. It allows traders to quickly spot periods of significant market activity based on volume.
How it Works:
The HVC indicator analyzes the volume of each candle in relation to the highest volume observed over a specified lookback period. The indicator compares the current volume with the highest volume within the defined lookback period and identifies candles that have volume equal to or greater than this threshold. It then distinguishes between bullish and bearish candles and assigns custom colors to highlight these high volume occurrences.
Usage:
To effectively utilize the High Volume Candles indicator, follow these steps:
1. Apply the HVC indicator to your chart by adding it from the available indicators.
2. Customize the lookback period according to your trading preferences. This parameter determines the number of previous candles to consider when calculating the highest volume.
3. Observe the candles on the chart:
- Bullish candles (blue by default) indicate periods of high volume when the closing price is higher than the opening price.
- Bearish candles (yellow by default) indicate periods of high volume when the closing price is lower than the opening price.
4. Pay attention to the color-coded volume indications within the candles, which highlight periods of high trading activity.
5. Analyze the volume patterns in conjunction with price action to identify potential trading opportunities. High volume candles often indicate increased market participation and can suggest significant price moves or reversals.
6. Combine the analysis of high volume candles with other technical analysis tools, such as trend lines, support and resistance levels, or indicators, to confirm potential trade setups.
7. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
Volume Tick ExperimentThis ticks-based indicator provides real-time volume information for a trading asset. Volume is analyzed and updated continuously, not just at candle close. It is based on DGT's Bull vs Bear Power indicator but adds a gas signal that activates when buying or selling volume percentage reaches a predetermined threshold.
This indicator can also help traders determine the direction and aggressiveness of pushes in buying or selling volume. By monitoring the volume percentages and gas signals, traders can get an idea of whether the market is pushing in a particular direction and how strong the push is. This information can be helpful in making trading decisions and identifying potential entry or exit points.
The indicator uses open, high, low, and close prices of the asset to calculate volume information. It determines the average volume over a selected period and calculates volume for both buying and selling. This information is used to calculate the percentage of buying and selling volume. A gas signal is triggered when either the buying or selling percentage reaches a predetermined threshold.
Enjoy!
Volume Channel - [With Volume Filter]The indicator calculates two volume-weighted moving averages (VWMA) using different lengths, and filters them based on a moving average of volume. The filtered VWMA values are then plotted on the chart as lines, representing the fast and slow moving averages. In addition, upper and lower bands are calculated based on the slow VWMA and plotted as lines on the chart.
The fast and slow VWMA lines can be used to identify trends in the market. When the fast VWMA is above the slow VWMA, it is an indication of an uptrend, and when the fast VWMA is below the slow VWMA, it is an indication of a downtrend. The position of the VWMA lines relative to the upper and lower bands can also be used to identify potential trade signals.
When the price is near the upper band, it indicates that the market is overbought, and when the price is near the lower band, it indicates that the market is oversold. Traders can use these signals to enter or exit trades.
The indicator also includes a volume filter, which means that the VWMA values are only calculated when the volume is above a certain moving average of volume. This helps to filter out noise in the market and provide more accurate signals.
Explanation for each parameter
vwmaLength1: This is the length of the fast volume-weighted moving average (VWMA) used in the calculation. The default value is 10, and it can be adjusted by the user.
vwmaLength2: This is the length of the slow volume-weighted moving average (VWMA) used in the calculation. The default value is 25, and it can be adjusted by the user.
bandLength: This is the length of the moving average used to calculate the upper and lower bands. The default value is 34, and it is not adjustable by the user.
volumeFilterLength: This is the length of the moving average of volume used as a filter for the VWMA calculation. The default value is 5, and it can be adjusted by the user.
src: This is the input source for the VWMA calculation. The default value is close, which means the indicator is using the closing price of each bar. However, the user can select a different input source by changing this parameter.
filteredVwma1: This is the filtered VWMA calculated based on the volume filter and the fast VWMA length. It is plotted as a line on the chart and can be used to identify short-term trends.
filteredVwma2: This is the filtered VWMA calculated based on the volume filter and the slow VWMA length. It is plotted as a line on the chart and can be used to identify long-term trends.
ma: This is the moving average of the filtered slow VWMA values, which is used to calculate the upper and lower bands. It is plotted as a line on the chart.
offs: This is the offset used to calculate the upper and lower bands. It is based on the standard deviation of the filtered slow VWMA values and is multiplied by 1.6185 * 3. It is plotted as a line on the chart.
up: This is the upper band calculated as the moving average plus the offset. It is plotted as a line on the chart and can be used to identify overbought conditions.
dn: This is the lower band calculated as the moving average minus the offset. It is plotted as a line on the chart and can be used to identify oversold conditions.
Z-Score(Slope(OBV(LBC)))Summary : Market price is simply a dance of liquidity to the specific market.
tl;dr: "Cash come-in, market moon; Cash go-out, market doom"
In Simple Language : Large changes in the money flow to an asset often mark local price extremia.
Academic paper:
Title: Z-Score(Slope(OBV)): An Efficient Indicator for Identifying Local Extremes in Asset Prices
Abstract: This paper presents a novel trading indicator, Z-Score(Slope(OBV)), that aims to predict local extremes in asset prices by analyzing the patterns of money flow. The indicator is constructed using the Z-score of the slope of the On Balance Volume (OBV).
Hypothesis: The price levels at which the money flows into and out of an asset often mark local extremes. This notion underpins our exploration of the Z-Score(Slope(OBV)) indicator's potential in identifying these critical points.
1. On Balance Volume (OBV): The OBV is a momentum indicator that leverages the volume flow to forecast potential changes in asset prices. It operates on the premise that changes in volume often presage shifts in price. The OBV algorithm adds a period's volume to the cumulative total when the closing price is up and subtracts it when the closing price is down. Therefore, an ascending OBV suggests positive volume pressure, potentially heralding higher prices, while a declining OBV signifies negative volume pressure, possibly indicating lower prices.
2. Slope: In this context, the slope represents the rate of change of the OBV. It is a measure of the rise-over-run for a linear regression line through the OBV data points. By evaluating the slope of the OBV, we can extract valuable insights into the momentum of the volume. A positive slope indicates increasing volume momentum, suggesting growing interest in the asset, while a negative slope implies declining volume momentum, potentially reflecting dwindling interest.
3. Z-Score: The Z-score is a statistical measure that delineates a data point's relationship to the mean of a group of values, expressed in terms of standard deviations from the mean. For instance, a Z-score of 0 reveals that the data point's score aligns with the mean score. Positive Z-scores indicate values higher than the mean, and negative Z-scores represent values lower than the mean. Applying the Z-score to the slope of the OBV allows us to comprehend the degree of deviation of the current OBV slope from its historical mean.
A Z-score of 1 suggests that the OBV's slope is one standard deviation from the mean, which implies that the slope is within the range of values where approximately 68% (not 67%) of all values lie.
A Z-score of 2 implies that the slope is two standard deviations from the mean, thus within the range where roughly 95% of all values lie.
A Z-score of 3 indicates that the slope is three standard deviations from the mean, putting it within the range where about 99.7% of all values lie.
Z-scores of 4 and 5 and beyond are increasingly rare and represent extreme values.
4. The Z-Score(Slope(OBV)) Indicator and Line Break Chart Synergy: The Z-Score(Slope(OBV)) indicator's efficiency is further amplified when visualized using a Line Break chart. This chart type disregards time, concentrating solely on price changes, thus providing a clear visualization of market trends. When combined with the Line Break chart, the Z-Score(Slope(OBV(LBC))) indicator can help traders identify trend shifts more accurately and promptly, reinforcing the hypothesis that price levels where money flows into and out of an asset often mark local extremes.
In summary, the Z-Score(Slope(OBV)) indicator, combining volume, momentum, and statistical analysis, provides a robust tool for traders to predict local extremes in asset prices.
Regarding Implementation:
- This is implemented using Pinescript V5
- Uses inbuilt ta module
- Very effective and simple and efficient computation in 30 lines of code
EquiVolume [LuxAlgo]EquiVolume is a charting method that aims to incorporate volume information to a candlestick chart. Volume is highlighted through the candle body width, with wider candles suggesting more significant volume.
Our script shows an EquiVolume chart for the visible chart range. Additionally regular volume can be plotted as a column plot with the column's width controlled by volume.
🔶 SETTINGS
🔹 Options
Chart: Shows candles with volume adjusted width.
Volume: Shows volume with volume adjusted width.
🔹 Intrabar Analysis
Enable/disable: When LTF is enabled, the script will calculate the % volume/candles in the same direction than current timeframe.
You can choose a LTF between 1 and 240 minutes.
Type %:
- Volume: sum of volume of all LTF candles, which are in the same direction.
- #bars: sum of all LTF candles, which are in the same direction.
🔹 Width Boxes (bars)
Minimum width: sets the minimum width of a box (candle/volume)
Maximum width: sets the maximum width of a box (candle/volume)
🔶 USAGE
This charting method makes it easier to spot large volume candles, against comparing candles to volume.
Another example:
Additionally, users can make the script perform an intrabar analysis on the chart candles, allowing to highlight bullish/bearish activity within a candle. The script can estimate bullish/bearish trading activity within a candle or simply use intrabar candle signs.
Example
- 15-minute candle is green
- 10 1-minute candles (LTF) IN that 15-minute candle are green -> 10/15 = 66,667%
-> The current 15-minute candle will be 66,667% filled with green color.
Note that the script will draw everything from last visible bar at the right to left, as such you can scroll backwards, and the script will show you the data of the visible chart.
Scrolling back will return the following result:
🔶 REMARKS
When the LTF is too far apart from current timeframe, you should get an error. To prevent this, the LTF will automatically rise, giving no error.
When this happens, the adjusted LTF will be displayed. Do note, due to a maximum available LTF data, sometimes boxes won't always be visible (since there is no LTF data anymore)
To solve this, just elevate your LTF:
When the set LTF is higher than current TF, you would normally get an error as well.
This script will automatically adjust the LTF to current TF, together with a visible warning (no error though).
Due to the inability to draw a line in the space between bars, sometimes a wick won't be placed exactly in the middle.
Bar composition in 1minute | True candlestick colorThe indicator shows the true color of a bar based on the internal composition on 1 minute timeframe and the final outcome. It uses following parameters of 1minute and current timeframe inputs
relative bar close, average volume vs current volume and finally the volume of internal candles.
It follows following steps:
First, it defines the arrays of high, low, close, volume in one minute timeframe
Second, it identifies the negative and positive volume based on the bar closing at one minute timeframe
Third , it adds all the volume and find whether the overall volume is positive or negative for overall bar in higher timeframe (current timeframe)
Fourth, it compare the volume in current timeframe to average of volume in in current timeframe
Fifth, if relative closing, relative volume (current timeframe) and the combined volume (in 1 minute timeframe) gives same outcome then color of the bar is decided whether the bar is bullish, bearish or inconclusive/contnuation.
Through this you get to check price action in 1minute timeframe and the ultimate outcome in current timeframe. this helps in understanding whether the bar is truly bullish or bearish or continuation of the trend
Feel free to connect for any query.
PM RTH AH VWAPs [vnhilton]FOR STOCKS ONLY.
Simply 3 different VWAPs for the pre-market, regular trading session, and the after hours, using session.is_ variables (not sure if they were recently added. Regardless, it would be nice to have a session.isfirstbar_postmarket variable to avoid having to write the code for calculating VWAP instead of simply using a ta.vwap function). Treats all 3 sections of the day as separate sessions with their own characteristics i.e. differing levels of liquidity and market dynamics. I would argue this is better than just using a VWAP calculated from the pre-market open until after hours close, as it would make using the VWAPs as a benchmark more accurate when taking trades at these different periods of the day.
Open Interest All ExchangesThe indicator collects data from available exchanges based on open interest. The indicators are calculated in the amount of Bitcoin.
Below are the tickers of the exchanges that provide the data:
- BITFINEX:BTCUSD
- BITFINEX:BTCUST
- KRAKEN:BTCUSDPERP
- BITMEX:XBTUSD
- BITMEX:XBTUSDT
- BINANCE:BTCUSDTPERP
- BINANCE:BTCUSDPERP (due to low volumes and limitations of 40 requests of the request.security function, the code contains data without using the calculation)
For me, Open Interest indicators play an important role in the trading system, for this reason I share with you. I am not a financial advisor.
**Open for cooperation**
Absolute Momentum IntensityNo lag, no boundaries, real momentum indicator.
Momentum = mass × velocity
In trading, this would be: volume × candle size. But due to the huge differences in volumes and volatility in the market, strong momentum crushes (flattens) average momentum, making it unpractical in an indicator. AMI provides a usable and adjustable workaround to this problem.
HOW DOES AMI WORK?
AMI measures and plots the momentum of each candle individually, with a formula I invented (or so I believe).
Formula: (Actual volume / Moving average of the volumes) × (Actual size of the candle / Moving average of the size of the candles)
Put simply, it multiplies the ratio between actual and past volumes, by the ratio between actual and past candles' sizes.
The length of the moving averages used in AMI's calculation is called "Contrast" in the settings.
A contrast of 20 shows every single impulse.
100 flattens small moves, thus revealing when the momentum is at its strongest.
Feel free to adjust the contrast of AMI to fit your needs.
The result is plotted starting from the last point. So the angle of each segment expresses the momentum of the corresponding candle.
Note: AMI will not run without enough candles or volume datas, on higher timeframes for example (W,M...).
HOW TO READ AMI?
AMI's line color, angle, and backgrounds help identify the current momentum as bullish, bearish, weak, or strong.
When AMI crosses the closest ribbon's line (which is in gray by default), its color changes, signaling a shift in momentum.
When the 3 ribbons are fully deployed, separated by large backgrounds, the momentum can be considered strong. This is what we are looking for.
When the momentum decreases, the background color changes (gray by default). It can be nothing, or it can be an early sign of consolitation or even reversal, especially if more do follow.
AMI adjusts to the size of its pane. Therefore, it is a good idea to keep a period of strong momentum in the screen, as a scale.
Comparing the actual momentum with the past ones sheds some light on the intensity of the price action.
DIVERGENCES
Divergences are relevant as long as there's amplitude in the chart. But it is still hard to estimate how far the expected move will go.
AMI comes with a divergence detection system. It won't show all the divergences though. Just the ones it can pick. So you might look for more, and adjust the settings to your needs.
This part of the script is independant from AMI, and easy to identify, so you can delete it if you don't need it.
DO NOT BASE YOUR TRADING DECISIONS ON 1 SINGLE INDICATOR'S SIGNALS.
Always confirm your ideas by other means, like price action and indicators of a different nature.
Volume Shaded CandlesDescription:
The Volume Shaded Candles indicator (VSC) is a technical analysis tool designed to represent price candles on a chart with transparency based on the volume traded during each candle. This overlay indicator enhances visual analysis by providing a visual representation of volume intensity.
How it Works:
The VSC indicator calculates the volume-to-transparency ratio by dividing the current volume by the highest volume within the last 10 periods. The ratio is then used to determine the shading intensity of the price candles. Higher volume relative to the recent highest volume results in lower transparency, while lower volume results in higher transparency.
Usage:
To effectively utilize the Volume Shaded Candles indicator, follow these steps:
1. Apply the Volume Shaded Candles indicator to your chart by adding it from the available indicators.
2. Configure the indicator's inputs:
- Specify the color for bullish candles using the "Bullish Color" input.
- Specify the color for bearish candles using the "Bearish Color" input.
3. Observe the shaded candles on the chart:
- Bullish candles are colored with the specified bullish color and shaded according to the volume intensity.
- Bearish candles are colored with the specified bearish color and shaded according to the volume intensity.
4. Interpret the shaded candles:
- Darker shading indicates higher volume during the corresponding candle.
- Lighter shading indicates lower volume during the corresponding candle.
5. Combine the analysis of shaded candles with other technical analysis tools, such as trend lines, support and resistance levels, or candlestick patterns, to identify potential trade setups.
6. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
Awesome Cumulative Volume OscillatorThe indicator is called the "Awesome Cumulative Volume Oscillator" (ACVO), which analyzes the cumulative trading volume of the underlying asset.
The indicator also plots the deviation of the cumulative trading volume from the first SMA value, which is referred to as the "Cumulative Volume Deviation". The zero-line is plotted as a reference point.
If the "Cumulative Volume Deviation" is greater than 0, it indicates an uptrend, as the cumulative trading volume is above the first SMA value. If the "Cumulative Volume Deviation" is less than 0, it indicates a downtrend, as the cumulative trading volume is below the first SMA value.
However, it is important to note that using a single indicator is not sufficient to conduct a comprehensive market analysis. It is necessary to combine multiple indicators and analysis methods to make informed trading decisions.
Slight Swing Momentum Strategy.Introduction:
The Swing Momentum Strategy is a quantitative trading strategy designed to capture mid-term opportunities in the financial markets by combining swing trading principles with momentum indicators. It utilizes a combination of technical indicators, including moving averages, crossover signals, and volume analysis, to generate buy and sell signals. The strategy aims to identify market trends and capitalize on price momentum for profit generation.
Highlights:
The strategy offers several key highlights that make it unique and potentially attractive to traders:
Swing Trading with Momentum: The strategy combines the principles of swing trading, which aim to capture short-to-medium-term price swings, with momentum indicators that help identify strong price trends and potential breakout opportunities.
Technical Indicator Optimization: The strategy utilizes a selection of optimized technical indicators, including moving averages and crossover signals, to filter out the noise and focus on high-probability trading setups. This optimization enhances the strategy's ability to identify favourable entry and exit points.
Risk Management: The strategy incorporates risk management techniques, such as position sizing based on equity and dynamic stop loss levels, to manage risk exposure and protect capital. This helps to minimize drawdowns and preserve profits.
Buy Condition:
The buy condition in the strategy is determined by a combination of factors, including A1, A2, A3, XG, and weeklySlope. Let's break it down:
A1 Condition: The A1 condition checks for specific price relationships. It verifies that the ratio of the highest price to the closing price is less than 1.03, the ratio of the opening price to the lowest price is less than 1.03, and the ratio of the highest price to the previous day's closing price is greater than 1.06. This condition looks for a specific pattern indicating potential bullish momentum.
A2 Condition: The A2 condition checks for price relationships related to the closing price. It verifies that the ratio of the closing price to the opening price is greater than 1.05 or that the ratio of the closing price to the previous day's closing price is greater than 1.05. This condition looks for signs of upward price movement and momentum.
A3 Condition: The A3 condition focuses on volume. It checks if the current volume crosses above the highest volume over the last 60 periods. This condition aims to identify increased buying interest and potentially confirms the strength of the potential upward price movement.
XG Condition: The XG condition combines the A1 and A2 conditions and checks if they are true for both the current and previous bars. It also verifies that the ratio of the closing price to the 5-period EMA crosses above the 9-period SMA of the same ratio. This condition helps identify potential buy signals when multiple factors align, indicating a strong bullish momentum and potential entry point.
Weekly Trend Factor: The weekly slope condition calculates the slope of the 50-period SMA over a weekly timeframe. It checks if the slope is positive, indicating an overall upward trend on a weekly basis. This condition provides additional confirmation that the stock is in an upward trend.
When all of these conditions align, the buy condition is triggered, indicating a favourable time to enter a long position.
Sell Condition:
The sell condition is relatively straightforward in the strategy:
Sell Signal: The sell condition simply checks if the closing price crosses below the 10-period EMA. When this condition is met, it indicates a potential reversal or weakening of the upward price momentum, and a sell signal is generated.
Backtest Outcome:
The strategy was backtested over the period from January 22nd, 1999 to May 3rd, 2023, using daily candlestick charts for the NASDAQ: NVDA. The strategy used an initial capital of 1,000,000 USD, The order quantity is defined as 10% of the equity. The strategy allows for pyramiding with 1 order, and the transaction fee is set at 0.03% per trade. Here are the key outcomes of the backtest:
Net Profit: 539,595.84 USD, representing a return of 53.96%.
Percent Profitable: 48.82%
Total Closed Trades: 127
Profit Factor: 2.331
Max Drawdown: 68,422.70 USD
Average Trade: 4,248.79 USD
Average Number of Bars in Trades: 11, indicating the average duration of the trades.
Conclusion:
In conclusion, the Swing Momentum Strategy is a quantitative trading approach that combines swing trading principles with momentum indicators to identify and capture mid term trading opportunities. The strategy has demonstrated promising results during backtesting, including a significant net profit and a favourable profit factor.
Volume DashboardReleasing Volume Dashboard indicator.
What it does:
The volume dashboard indicator pulls volume from the current session. The current session is defaulted to NYSE trading hours (9:30 - 1600).
It cumulates buying and selling volume.
Buying volume is defined as volume associated with a green candle.
Selling volume is defined as volume associated with a red candle.
It also pulls Put to Call Ratio data from the Ticker PCC (Total equity put to call ratios).
With this data, the indicator displays the current Buy Volume and the Current Sell Volume.
It then uses this to calculate a "Buyer to Seller Ratio". The Buy to Sell ratio is calculated by Buy Volume divided by Sell Volume.
This gives a ratio value and this value will be discussed below.
The Indicator also displays the current Put to Call Ratio from PCC, as well as displays the SMA.
Buy to Sell Ratio:
The hallmark of this indicator is its calculation of the buy to sell ratio.
A buy to sell ratio of 1 or greater means that buyers are generally surpassing sellers.
However, a buy to sell ratio below 1 generally means that sellers are outpacing buyers (0 buyers to 0.xyx sellers).
The SMA is also displayed for buy to sell ratio. Generally speaking, a buy to sell SMA of greater than or equal to 1 means that there are consistent buyers showing up. Below this, means there is inconsistent buying.
Change Analysis:
The indicator also displays the current change of Volume and Put to Call.
Put to Call Change:
A negative change in Put to Call is considered positive, as puts are declining (i.e. sentiment is bullish).
A positive change in Put to Call is considered negative, as puts are increasing (i.e. sentiment is bearish).
The Put to Call change is also displayed in an SMA to see if the negative or positive change is consistent.
Volume Change :
A negative volume change is negative, as buyers are leaving (i.e. sentiment is bearish).
A positive volume change is positive, as buyers are coming in (i.e. sentiment is bullish).
The volume change is also displayed as an SMA to see if the negative or positive change is consistent.
Indicator breakdown:
The indicator displays the total cumulative Buy vs Sell volume at the top.
From there, it displays the Ratio and various other variables it tracks.
The colour scheme will change to signal bearish vs bullish variables. If a box is red, the indicator is assessing it as a bearish indicator.
If it is green, it is considered a bullish indicator.
The indicator will also plot a green up arrow when buying volume surpasses selling volume and a red down arrow when selling volume surpasses buying volume:
Customization:
The indicator is defaulted to regular market hours of the NYSE. If you are using this for trading Futures, or trading pre-market, you will need to manually adjust the session time to include these time periods.
The indicator is defaulted to read volume data on the 1 minute timeframe. My suggestion is to leave it as such, even if you are viewing this on the 5 minute timeframe.
The volume data is best accumulated over the 1 minute timeframe. This permits more reliable reading of volume data.
However, you do have the ability to manually modify this if you wish.
As well, the user can toggle on or off the SMA assessments. If you do not wish to view the SMAs, simply toggle off "Show SMAs" in the settings menu.
The user can also choose what time period the SMA is using. It is defaulted to a 14 candle lookback, but you can modify this to your liking, simply input the desired lookback time in the SMA lookback input box on the settings menu. Please note, the SMA Length setting will apply to ALL of the SMAs.
That is the bulk of the indicator!
As always, let me know your questions or feedback on the indicator below.
Thank you for taking the time to check it out and safe trades!
Volume Profile Matrix [LuxAlgo]The Volume Profile Matrix indicator extends from regular volume profiles by also considering calculation intervals within the calculation window rather than only dividing the calculation window in rows.
Note that this indicator is subject to repainting & back-painting, however, treating the indicator as a tool for identifying frequent points of interest can still be very useful.
🔶 SETTINGS
Lookback: Number of most recent bars used to calculate the indicator.
Columns: Number of columns (intervals) used to calculate the volume profile matrix.
Rows: Number of rows (intervals) used to calculate the volume profile matrix.
🔶 USAGE
The Volume Profile Matrix indicator can be used to obtain more information regarding liquidity on specific time intervals. Instead of simply dividing the calculation window into equidistant rows, the calculation is done through a grid.
Grid cells with trading activity occurring inside them are colored. More activity is highlighted through a gradient and by default, cells with a color that are closer to red indicate that more trading activity took place within that cell. The cell with the highest amount of trading activity is always highlighted in yellow.
Each interval (column) includes a point of control which highlights an estimate of the price level with the highest traded volume on that interval. The level with the highest traded volume of the overall grid is extended to the most recent bar.
Relative VolumeHello traders,
"There's nothing new on Wall Street" is an age-old saying that still shows its relevance in modern day financial markets; volume still serves as a valuable tool for any trader just as it did for those that came and succeeded before us; in order to succeed in modern day markets one has to take it up a notch and dabble in complicated topics, like math. Now I dunno about you reader but I’m not keen on sitting around all day just to watch numbers on a screen; it’s pretty important to add some color into your life before it becomes dull but how can someone add colors into their trading toolkit as an aid rather than bother? With a bit of help from 3 other amazing open-source indicators you too can become a statistics enjoyer by combining math and colors to make pattern recognition much more intuitive and offering more peace of mind when trading. “Sir but how?”, glad you didn’t ask, it helps with simplifying statistics, in this case a Gaussian bellcurve
“HUH?”, you say? Alright class, Gaussian bellcurves for math dislikers 101 is in session
- Imagine that we have a bunch of numbers that we want to graph. We could just draw a line and plot the numbers on it, but that might not be very interesting.
- Instead, we can use the shape of a bell to show how many of each number we have.
- Let's say we have a lot of people and we want to graph how tall they are. We would start by making a line from the shortest person to the tallest person, and then we would draw the bell shape around the line.
- The bell shape is called a "Gaussian Bell Curve," and it shows us how many people are a certain height.
- In the middle of the bell, where it's the widest, we have the most people who are about average height. As we move to the sides of the bell, the curve gets lower because there are fewer people who are really tall or really short.
The bell curve discussed is the main idea for the candle coloring component of this indicator as being able to analyze the distribution of an entire dataset, in this case volume, can alert us when volume/participation in the market is away from its average using color, and therefore an opportunity could be present. Fair warning, it’s important to not strictly focus on volume as volume is meant to be confluence to the current structure of the market rather than causing tunnel vision.
Why 3 indicators to combine?
It starts with the RVOL by Mik3Christ3ns3n indicator as the backbone by calculating the average volume over a specified period of time, and then compares each new volume value to this average to determine whether it is above or below the average. The indicator then normalizes the volume data and calculates the z-score/standard deviation to determine whether the volume is within normal range or is an anomaly beyond a specified threshold which can also be set into an alert to aid in eyeing possible opportunities.
The code also includes Candle Coloring by Morty as it calculates a function to get the z-score for the size of the candle's body, and then compares it to the z-score for volume to determine whether the body size is a factor in the price action.
Finally, the code plots the anomalies and the normalized volume data on the chart using the first RVOL indicator mentioned, and colors the bars of the chart based on whether they are within normal range or are anomalies which comes from using code from veryfid's relative volume indicator.
Overall, this custom technical indicator is best used to identify unusual changes in trading volume, which may indicate potential price movements in the underlying.
How about some examples?
This first example is for my scalpers wanting to get in and out but not having much of an idea where or let alone how; using a tool like VWAP can be great for determining the area value to execute mean reversion trades once a speculator spots a colored candle anomaly at standard deviation band. Works best when VWAP is flat as it signals lack of conviction from both bulls and bears
This second example is for my fire and forget intraweek swing traders who want to execute a higher timeframe trend-following bias. A speculator starting 2023 off notices that the negative sentiment around Binance from late last year has quieted down and has conviction in upside after BTC began an uptrend as monthly VWAP (right chart) has began sloping up as well as a rally with momentum shown with the blue colored candle so the trader waits wait for a pullback for entry. On the chart to the left of the 4H the speculator notices a pullback into the area of interest to do business so a limit bid is left to enter for continued upside in Bitcoin through January 2023 just by keeping things simple
That’s really the main purpose of this indicator: simplicity of statistics for confluence using volume
Volume precedes price and price moves only for narrative to follow- why wait for your subjective Twitter timeline to give you a biased narrative to trade when you can use objective analysis by combining statistics and colors to allow for a cleaner execution process
“But what about risk management?” Glad you didn’t ask reader!
One last example then, we meet our trend following trader again feeling euphoric so they know profit taking season is coming soon but wants to leave emotion out of it. How to go about it? Same idea as our last trend following example: we see on the 4h chart to the right side shows Bitcoin lose and trade back within the 2nd standard deviation of quarterly VWAP which is telling our speculator that the uptrend has broken on top of which notices on the 30 minute chart on the left that aggressive market buyers have been steadily absorbed by limit sellers on multiple occasions of retesting 30,500 shown with the green colored candles and volume bars below, time to sell.
Turns out that selling was proactive risk management because price dumped thereafter
Hope this explanation gave you some useful insights on using statistics as colors from cherrypicked examples, remember that just because my examples are cherrypicked doesn’t invalidate these concepts at all as the market only does two things, initiate aggressive auctions and respond passively to auctions. This tool makes for seeing where that initiative aggressive activity is happening much simpler to deduce if others will respond to an anomaly of initiative aggressive activity or if the aggression will continue.
If there’s just one thing you take from this- simplicity above all, cheers and good luck
