RSI Levels, Multi-TimeframeThe relative strength index (RSI) is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. RSI is normally displayed as an oscillator separately from price and can have a reading from 0 to 100. This indicator takes the RSI and plots the 30 & 70 levels onto the price chart so you can see when price is going to meet the 30 or 70 levels. The reason the 30 & 70 levels are important is because many traders (and bots) use those as signals to buy (at 30 RSI) or sell (at 70 RSI). Additionally, this indicator allows you to display not just the RSI levels of your currently viewed timeframe on the chart, but also shows the RSI levels of up to 6 different timeframes on the same chart. This allows you to quickly see if multiple RSI levels are aligning across different timelines, which is an even stronger indication that price is going to change direction when it meets those levels on the chart. There are a lot of nice configuration options, like:
Style customization (color, thickness, size)
Labels on the chart so you can tell which plots are the RSI levels
Optionally display the plot as a horizontal line if all you care about is the RSI level right now
Toggle overbought (RSI 70) or oversold (RSI 30) on/off completely
Relative
Adaptive Relative Strength (ARS by Premal Parekh)Dear All,
This is my first public script modified to adapt the concept of Mr. Premal Parekh on Adaptive Relative Strength - ARS)
The original Script is developed by modhelius.
I have proved the version as per my requirement and included concept of ARS.
This script will remove the manual calculation task which is required on daily basis to calculate number of sessions from ARS Date.
Hope this script will be helpful.
If yes, do hit like button and share with your friends.
Ashish Kesarkar
India
Relative Strength Improved (Premal Parekh ASR Version)This script is improved over the existing script developed by Mr. modhelius
I have added ASR Concept of Mr. Premal Parekh.
This script will remove manual calculation of Trading Days from ASR Date.
Relative Strength ComparisonThis script plots the ratio between a ticker and the selected index. Currently, I have US equities indexes listed + BTC. It's a great way to check for relative strength, determine if absolute highs relative to the ratio are being made, etc.
Additionally, optional comparison of the RSI is included. I was just testing something out but figured I'd leave in here because why not. If you use this, enable the 1.0 line.
Script is a bit slow, will try to optimize eventually.
Relative Volume (rVol), Better Volume, Average Volume ComparisonThis is the best version of relative volume you can find a claim which is based on the logical soundness of its calculation.
I have amalgamated various volume analysis into one synergistic script. I wasn't going to opensource it. But, as one of the lucky few winners of TradingClue 2. I felt obligated to give something back to the community.
Relative volume traditionally compares current volume to prior bar volume or SMA of volume. This has drawbacks. The question of relative volume is "Volume relative to what?" In the traditional scripts you'll find it displays current volume relative to the last number of bars. But, is that the best way to compare volume. On a daily chart, possibly. On a daily chart this can work because your units of time are uniform. Each day represents a full cycle of volume. However, on an intraday chart? Not so much.
Example: If you have a lookback of 9 on an hourly chart in a 24 hour market, you are then comparing the average volume from Midnight - 9 AM to the 9 AM volume. What do you think you'll find? Well at 9:30 when NY exchanges open the volume should be consistently and predictably higher. But though rVol is high relative to the lookback period, its actually just average or maybe even below average compared to prior NY session opens. But prior NY session opens are not included in the lookback and thus ignored.
This problem is the most visibly noticed when looking at the volume on a CME futures chart or some equivalent. In a 24 hour market, such as crypto, there are website's like skew can show you the volume disparity from time of day. This led me to believe that the traditional rVol calculation was insufficient. A better way to calculate it would be to compare the 9:30 am 30m bar today to the last week's worth of 9:30 am 30m bars. Then I could know whether today's volume at 9:30 am today is high or low based on prior 9:30 am bars. This seems to be a superior method on an intraday basis and is clearly superior in markets with irregular volume
This led me to other problems, such as markets that are open for less than 24 hours and holiday hours on traditional market exchanges. How can I know that the script is accurately looking at the correct prior relevant bars. I've created and/or adapted solutions to all those problems and these calculations and code snippets thus have value that extend beyond this rVol script for other pinecoders.
The Script
This rVol script looks back at the bars of the same time period on the viewing timeframe. So, as we said, the last 9:30 bars. Averages those, then divides the: . The result is a percentage expressed as x.xxx. Thus 1.0 mean current volume is equal to average volume. Below 1.0 is below the average and above 1.0 is above the average.
This information can be viewed on its own. But there are more levels of analysis added to it.
Above the bars are signals that correlate to the "Better Volume Indicator" developed by, I believe, the folks at emini-watch and originally adapted to pinescript by LazyBear. The interpretation of these symbols are in a table on the right of the indicator.
The volume bars can also be colored. The color is defined by the relationship between the average of the rVol outputs and the current volume. The "Average rVol" so to speak. The color coding is also defined by a legend in the table on the right.
These can be researched by you to determine how to best interpret these signals. I originally got these ideas and solid details on how to use the analysis from a fellow out there, PlanTheTrade.
I hope you find some value in the code and in the information that the indicator presents. And I'd like to thank the TradingView team for producing the most innovative and user friendly charting package on the market.
(p.s. Better Volume is provides better information with a longer lookback value than the default imo)
Credit for certain code sections and ideas is due to:
LazyBear - Better Volume
Grimmolf (From GitHub) - Logic for Loop rVol
R4Rocket - The idea for my rVol 1 calculation
And I can't find the guy who had the idea for the multiples of volume to the average. Tag him if you know him
Final Note: I'd like to leave a couple of clues of my own for fellow seekers of trading infamy.
Indicators: indicators are like anemometers (The things that measure windspeed). People talk bad about them all the time because they're "lagging." Well, you can't tell what the windspeed is unless the wind is blowing. anemometers are lagging indicators of wind. But forecasters still rely on them. You would use an indicator, which I would define as a instrument of measure, to tell you the windspeed of the markets. Conversely, when people talk positively about indicators they say "This one is great and this one is terrible." This is like a farmer saying "Shovels are great, but rakes are horrible." There are certain tools that have certain functions and every good tool has a purpose for a specific job. So the next time someone shares their opinion with you about indicators. Just smile and nod, realizing one day they'll learn... hopefully before they go broke.
How to forecast: Prediction is accomplished by analyzing the behavior of instruments of measure to aggregate data (using your anemometer). The data is then assembled into a predictive model based on the measurements observed (a trading system). That predictive model is tested against reality for it's veracity (backtesting). If the model is predictive, you can optimize your decision making by creating parameter sets around the prediction that are synergistic with the implications of the prediction (risk, stop loss, target, scaling, pyramiding etc).
<3
Papercuts Dynamic EMA - Relative Parameter FunctionThe goal of this is to link two parameters of different known low and high values so one affects the other.
In this case, I want to link Relative Volume to the length of an EMA, so it responds faster in times of high volume.
As an animator I am used to linking values in this way with Maya using a set driven key, took some work to figure it out in pine.
Looking up this concept, it has a few names, Relative values, linear interpolation, or rescale values.
Thanks to pinecoders for writing the EMA funciton that can accept length variables!
Here's a quick look at the root function to link the two values.
f_relativeVal(_source, in_bot, in_top, out_bot, out_top) =>
// float _source: input signal
// float in_bot : minimum range of input signal.
// float in_top : maximum range of input signal.
// float out_bot : minimum range of output signal.
// float out_top : maximum range of output signal.
clampSrc = _source > in_top ? in_top : _source < in_bot ? in_bot : _source //claps source to create a controlled range
//relInput = (clampSrc - in_bot) / (in_top - in_bot) * 100
inDiffIncrement = (in_top - in_bot)
outDiffIncrement = (out_top - out_bot)
out_bot + (clampSrc - in_bot) * outDiffIncrement / inDiffIncrement // rescale input range to output range
Relative PerformanceThis indicator takes the Performance Table from @BeeHolder and converts it to a Relative Performance table so you can compare the current chart vs. an Index (or whatever other ticker you want) to see the relative performance of one vs. the other. I also added a cell for ADR, which is also the same value as "Monthly Volatility" in the stock screener. This can be useful when screening stocks based on performance and volatility.
Ehlers Relative Vigor Index [CC]The Relative Vigor Index was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pg 58) and this is a momentum indicator that is similar to the Accumulation Distribution Oscillator created by Jim Waters and Larry Williams. He uses digital signal processing to smooth the indicator to provide clear buy and sell signals. The idea behind this indicator is that during uptrends, prices tend to close near the high and during downtrends, prices tend to close near the low. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal ones are lighter in color. Buy when the line turns green and sell when it turns red. Usually the best signals I have found for this indicator is when the indicator is below the 0 line and turns green then it is usually a sign of a strong uptrend.
Let me know if there are any other scripts you would like to see me publish!
Volume Records + AlertContents
Overall Introduction
Settings menu parameters
Usage
How to use alerts
Limits
Overall Introduction
This indicator is a "volume analysis" tool for confirming the direction and strength of price trend and spotting trend reversals. This tool consists of two parts:
1- The colored graph is a custom volume oscillator which shows the relative changes in volume.
The darkening of the color of the bars is a sign of increasing volume.
2- Triangular labels that show trading volume records over different time periods based on the absolute values of the volume.
By creating an alert, you can be notified of new trading volume records. These records are:
Highest / lowest volume in one year,
Highest / lowest volume in six month
Highest / lowest volume in three month
Highest / lowest volume in one month
Highest / lowest volume in one week
Settings menu parameters
{Short Length} =>
The fast volume MA of the Volume Oscillator.
{Long Length} =>
The slow volume MA of the Volume Oscillator.
{Visual Parameters} =>
Parameters to personalize the appearance of the indicator.
{Alert Conditions Part 01: Highest Records ⏰ } =>
Parameters to customize the alert.
{Alert Conditions Part 02: Lowest Records ⏰ } =>
Parameters to customize the alert.
Usage
This indicator is a "volume analysis" tool for confirming the direction and strength of price trend and spotting trend reversals.
What Is Volume Analysis?
Volume analysis involves examining relative or absolute changes in an asset's trading volume in order to make inferences about future price movements.
A significant price increase along with a significant volume increase, for example, could be a credible sign of a continued bullish trend or a bullish reversal.
The gradual darkening of the bars is a sign of the strength of the trend.
Volume can be an indicator of market strength, as rising markets on increasing volume are typically viewed as strong and healthy.
How to use alerts
Note that by creating an alert, an instance of the indicator, with all your settings, will be activated on the site's server and alerts will be triggered by it.
After that, changing the indicator settings on the chart will no longer affect the alert.
Open the settings window and select the alert conditions as you wish
Click the Create Alert button (or press the A key while holding down the ALT key)
In the Condition section, select the name of the indicator.
Make the rest of the settings as you wish.
Finally, click on the Create button.
It's finished. After a few moments, your alert will be added to the Alerts menu.
Limits
The labels are displayed after the bars close.
Labels are displayed for the last 10,000 bars.
STDev % by Alejandro PThis is a simple indicator that expands the usability of Standard deviation into a universally usable indicator.
This indicator displays the volatility as standard deviation as a % of asset value, this allows using more standardized and comparable values across multiple instruments and asset classes.
Relative Strength 3D Indicator [CC]This is a custom indicator of mine loosely based on the work by James Garofallou (Stocks and Commodities Sep 2020 pg 14) and this is meant for medium to long term trend confirmations. The idea behind this indicator is to capture 3 different dimensions of trend strength. The first dimension captures the overall strength of the underlying stock vs the market (in this case the S&P 500). The second dimension captures the overall trend strength by assigning a scoring system so when all faster moving averages are stronger than slower moving averages then it gets the max points. The final dimension is the strength of the overall strength of everything so far. Buy when the indicator line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish!
Ultimate RSIsThis RSI script includes everything you could want on an RSI. There are multiple timeframes which will give context to market movement, as well as a highlight feature to make it easier to visualize overbought and oversold stocks.
Tip: Uncheck the 4 plots with no color in them to remove the extra headers on the indicator.
Relative Volume - ETHEREUMRelative Volume indicator that pulls data from 9 different Ethereum exchanges. Please note that this indicator only works with ETH and will not use data from your current chart.
Includes the following exchanges:
BYBIT:ETHUSD
BITFINEX:ETHUSD
BITSTAMP:ETHUSD
INDEX:ETHUSD
COINBASE:ETHUSD
FTX:ETHUSD
PHEMEX:ETHUSD
BITTREX:ETHUSD
POLONIEX:ETHUSDT
Relative Volume - BITCOINRelative Volume indicator that pulls data from 9 different Bitcoin exchanges. Please note that this indicator only works with BTC and will not use data from your current chart.
Includes the following exchanges:
BYBIT:BTCUSD
BITFINEX:BTCUSD
BITSTAMP:BTCUSD
INDEX:BTCUSD
COINBASE:BTCUSD
FTX:BTCUSD
PHEMEX:BTCUSD
BITTREX:BTCUSD
POLONIEX:BTCUSDT
Relative VolatilityRelative volatility highlights large changes in price. This was designed to be used with my relative volume indicator so that traders can see the effect of volume on price action. It is also a good tool to analyse breakout patterns to identify best entry points and waves.
Above shows relative volatility and relative volume working together.
Volatility OscillatorThis tool displays relative volatility and directional trend. Excellent way to pickup diversions and reversals. Length can be lowered to 11 or 13 in settings to show price range.
Can be used to identify patterns such as parallel channels and likely direction of price action as pictured below.
Relative VolumeVolume can be a very useful tool if used correctly. Relative volume is designed to filter out the noise and highlight anomalies assisting traders in tracking institutional movements. This tool can be used to identify stop loss hunters and organized dumps. It uses a variety of moving averages to hide usual activity and features an LSMA line to show trend. Trend columns are shown to highlight activity and can be seen at bottom of the volume columns, this is done using ZLSMA and LSMA.
The above chart shows an example of 2 indicators being used on the 15 min chart. The bottom indicator is set to the 1 min chart. Traders can see a large dump on the 1 min chart as institutions wipe out any tight stop losses. Next they buy back in scooping up all those long positions.
This is an example layout using a split screen setup and multiple timeframes ranging from 1 min to 30 mins. This gives a clear indication of trends and make it easy to pickup on institutional behaviour. Tip: Double clicking indicator background will maximize RVOL to the split screen window.
Combo Backtest 123 Reversal & Relative Volatility Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The RVI is a modified form of the relative strength index (RSI).
The original RSI calculation separates one-day net changes into
positive closes and negative closes, then smoothes the data and
normalizes the ratio on a scale of zero to 100 as the basis for the
formula. The RVI uses the same basic formula but substitutes the
10-day standard deviation of the closing prices for either the up
close or the down close. The goal is to create an indicator that
measures the general direction of volatility. The volatility is
being measured by the 10-days standard deviation of the closing prices.
WARNING:
- For purpose educate only
- This script to change bars colors.
Relative Difference Of Squares Oscillator [CC]The Relative Difference Of Squares Oscillator was created by Marco Alves (Stocks and Commodities Aug 2020 pg 10) and this is a heavily customized version of his indicator that works for single stocks instead of the entire market. I have included extra buy and sell signals to account for strong signals vs normal signals based on some user feedback I got. Buy when the line turns green and sell when it turns red. Keep in mind that this is a lagging indicator so good for trend confirmation.
Let me know if there are any other scripts you would like to see me publish!
Risk Position Sizing tool using Coefficient of VariationA way to manage portfolio risk using relative standard deviation, also known as coefficient of variation. This tool tells you how much of each stock in shares and in value to buy adjusted for their volatility risk for a given starting account capital. A problem many people have is how to diversify an account and adjusting it for the risk involved in each equity. Many would put in an equal amount of capital value into each share but is it really equal if some equities have more risk than others? A solution is to adjust the portfolio by giving less weight to those that are more volatile or risky. It's done by using a starting percent of the account, preferably a small percent of it, and buying up shares with that same amount for each equity. Each equity will also be divided by the COV to risk adjust the portfolio by giving less weight to the more volatile stocks. This is done until as much of the initial capital in the account as possible is spent.
COV is how far away the price is from the mean or average. The further the price is from the mean the more risk or volatility there is. It uses standard deviation in its calculation. The problem with SD and ATR is that they are not relative to the past or to other equities to compare to. An application where COV can be used is risk portfolio management formulas. This does not take into account correlation or other equation parts in some portfolio management formulas but only the risk or volatility, the default volatility length is mostly arbitrary, and the lower risk stocks may end up being the slowest in performance.
The text label will show how many shares will be bought and how much value each equity will have. At the end it will show the initial capital that was started off with, the total shares bought, the total value of all the shares, and the amount of capital left over. If the sources are not blank then they will be used, to blank them you will need to reset the settings to default otherwise they might still be read. If you want to add more than the given 10 equity spaces to the portfolio then you will need to add in the code manually and add it to the chart. The denominator is perhaps the important part in these types of risk position sizing tools, you can change to other things such as risk-reward ratio instead of volatility or change the volatility type, etc.
Coefficient of Variation - EMA and SMA StDevYet another way to try and measure volatility. An alternative to using ATR is Standard Deviation, it can be used to measure volatility or what is also known as risk. SD measures how dispersed or far away the data is from the mean. It's commonly seen in risk management formulas or portfolio diversification formulas. The problem however is that the numbers that ATR and SD give off from one equity might not be relative to others or its own past. For example, SPY can give a large number despite not being as volatile as other equities while others being compared to can have smaller volatility numbers and still be more volatile looking.
A solution I thought of is to use percentages that are relatable to different equities. I found out another name for this idea comes from statistics and is known as coefficient of variation, also known as relative standard deviation. This helps see the volatility as a percentage and not just a number that only relates to what is being seen at the moment. I put in a border line on the zero level to see where zero is at but also to edit in case there is such a thing as a percentage number that can be too high or too low for volatility to be looked at if needed. The average and standard deviation formulas can use either simple moving average or exponential moving average.
Super Momentum StrategyThis is a strategy utilizing multiple of Evergets RMI (thanks to him for permission to publish) and a Chance Momentum.
It buys when 4 of the RMIs are below their thresholds and sells when they are above. There is a 5th one I added last night that works in Reverse - buy when its above and sell when below, which should work better for pyramiding strats by using it at the right rate to set the overall trend.
Very basic sample below, I could have set it up better as my example but just want to publish.
RMI + Triple HMRSI + Double EVWRSI + TERSI + CMO StrategyThis is a strange experimental strategy WIP that I decided to upload an early version to share some of what I am working on. Just one script of a few.
It combines Chande Momentum with RMI and some weird ones I am experimenting with - Triple Hull MA RSI, Double Exponential + Volume Weighted RSI, Triple Exponential RSI. And to top it off, a final oscillator that combines the THMRSI with the RMI.
The main intention here, currently, is to test the usefulness of each on different timeframes and values. Currently it is considered to buy when all are below their threshold and sell when all are above, with the chande momentum crossing its line as the final confirmation.
For now there is no individual for each of the unique elements included. I am going to likely use this is a working house project to test other experimental indicators in the future.
It may be some of these are better suited for long term but I do think they have valid uses in checking short and long term momentum at the very least.
I copied the RMI from Everget.