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.
Deviation
VWAP Alerts V3VWAP Alerts signal over bought/over sold conditions, relative to volume weighted average price, while deviation bands plot an extremely accurate point of mean reversion.
VWAP Alerts V3 includes multiple timeframe selection, along with multiplier input for deviation band setting
Alerts can be set for each individual band, for extreme oversold/overbought conditions, use "Vwap Low Deviation 4" and "Vwap High Deviation 4".
Alerts can also be set for VWAP bounces, by simply setting "VWAP Alert"
VWAP Oscillator CandlesThe VWAP oscillator plots VWAP as the zero line with price, relative to VWAP. This can be use the same way you would traditionally use VWAP, with a much clearer picture of deviation from VWAP. Also, after creating the script, I noticed divergence was extremely noticeable here!
Enhanced Sigma by Cryptorhythms [CR]Enhanced Sigma by Cryptorhythms
Sigma is basically the deviation of returns compared to past returns. The higher / lower the value, shows you how deviated from the average this current bars returns are.
While perhaps not usable as a complete strategy for entering and exiting, its still quite useful and informative. It can give interesting signals as to potential turning points in price action. This behavior extends to all timeframes both long term and short term.
There are 2 overbought and oversold zones here inthe indicator. One is adaptive and will change to suit the shorter term giving your extra potential signals. The fixed line shows a general level for highly deviated values.
Expect a number of further totally unique and exclusive sigma based indicators from CR in the near future. We are nowhere near done extracting the alpha from this concept!
How to get access
This indicator is available for standalone purchase or as part of our subscription options. Please see my signature or profile for more information or contact me directly.
B3 HL2MA Painter ~ Extremely Smooth Average & Bar PaintMy HL2MA is a 'proprietary' formula based on the idea that I never again want to see a jagged average line. I released a version of this a long time ago, but I wanted to update it to how I have it on my charts in other platforms. Here are some notes about this moving average script:
The default input value is 5, and I suggest the range of use 4-6 with the rare occasion of using 3 or 7.
For me 5 is what I use UNLESS I AM IN A TRADE, then I might switch to 4 if I have some profits to lock, or 6 if I want to stay in for a lengthier trade.
This average when kept within the above parameters is the smoothest MA in my arsenal, HL2 refers to the middle of the candles which further de-noises the line.
The colors are green/red for good movement with the confirmed trend.
The colors are gray for movement against the current trend (signaling a possible mean reversion)
The colors blue & yellow appear when signaling possible chop or trend exhaustion.
Carried forward from the last time I posted this, the bias for longs and shorts is depicted as the color of the average line green or maroon, and ALERTS are based on that overall bias created the line by itself.
Also carried from the last post, the green and maroon clouds depict the price deviance from the line; when the cloud stretches wide it may be time to take profits and enter back in closer to the line.
Thanks again for liking and following!!!!
This share is in response to my 10,000th like on TradingView!
Favorite this one, and enjoy :-)
Exponential Deviation Bands Width [ChuckBanger]This indicator is a compliment to Exponential Deviation Bands . It is the difference between the upper and the lower bands divided by the middle band. It is an easy way to visualize consolidation before price movements or periods of higher volatility.
How it works
During a period of high volatility, the distance between the two bands will widen and Exponential Deviation Bands width will increase. And the opposite occurs during a period of low volatility, the distance between the two bands will contract and Exponential Deviation Bands width will decrease. Meaning there is a tendency for bands to alternate between expansion and contraction.
When the bands are relatively far apart, that is often is a sign that the current trend is ending. When the distance between the two bands is relatively narrow that often is a sign that the market is about to initiate a bigger move in either direction.
MAD v1 [Intromoto]Hey traders,
This script shows a plotshape on candles, respective of deviation % from the chosen moving average. The further price is from the MA, theoretically, the faster and more reliably price should return to that moving average or close to it.
Users have the following inputs:
- Type of MA to measure the deviations from, i.e EMA, SMA, WMA, VWMA.
- Accompanying moving averages for reference. Fast, med, slowest
- Offset
- AVP resolution
- AVP length
- Use without AVP or other filter
- Use with AVP filter
- Hide/Show High Deviations
- Hide/Show Medium-High Deviations
- Hide/how Smallest High Deviations
- Hide/Show Smallest Low Deviations
- Hide/Show Medium-Low Deviations
- Hide/Show Low Deviations
- Optional size adjustment for low % deviations, used for lower time frames
There are individual plotshapes from deviation percentages in brackets between percentages in both directions of the moving average. i.e 1%-2%, 2%-3%, etc, up to 20% whereby there is a plotshape for all deviations about 20% above the MA and one plotshape for all deviations below -20% below the MA
The plotshapes are color coded from pink and blue . The style menu is setup to show the deviations as they would appear at their respective height above or below the MA. The current filter is a calculation of the average difference between all bars over the length input.
Depending on what time frame you trade within, it may be suggested that these signals are more likely to assist with long exits than short entries, but I have used it for both successfully under certain time frames. Checking off the "Trading Below 3m" box changes the size of the smaller deviations from auto to tiny, which are more visible.
I'll be adding and testing different filters applied to reduce deviation signals that are heavily against the trend or discounting larger time frame momentum. This script, especially the filters I have and will continue to add are experimental. Please use at your own risk.
Thanks for your time!
Please PM me for access.
SSHSH_DevVolatility is a market pulse, like breathing. And it's deviations is being considered as a signal attenuation.
When You want to know how far is the current price of it's mean value, You can use this indicator to determine 3-sigma rule.
The mean line (like moving average) shows if the market is in it's UpTrend state or the DownTrend state.
When it hits it's upper level - so we can say that the Uptrend has ended. The vice versa for the DownTrend.
Use it with the faster tuning when You trade the higher timeframes, and with the slower tuning on a lower timeframes.
{PM me in TradingView to arrange subscription access}
Linear Regression Band BasicLinear Regression Band implements a BB like structure but with the middle line using solely a linear regression as input. In addition unlike bollinger bands , the market price never wicks out of the linear regression band. This is because it gives the absolute possible range taken from the middle line.
Volume Weighted DeviationsVolume !weighted!
deviations.
Important: I don't really know how people generally compute deviations from VWAP/VWMA, but smth tells me generally it's just a Av Dev/St Dev based on mean, not on appropriate basis, like volume weighted mean in our case. This version is mathematically correct, it first calculates weighted mean, than utilizes this weighted in mean in AvDev & StDef functions modified to take into account weights.
Spread by//Every spread & central tendency measure in 1 script with comfortable visualization, including scrips's status line.
Spread measures:
- Standard deviation (for most cases);
- Average deviation (if there are extreme values);
- GstDev - Geometric Standard Deviation (exclusively for Geometric Mean);
- HstDev - Harmonic Deviation (exclusively for Harmonic Mean).
These modified functions will calculate everything right, they will take source, length, AND basis of your choice, unlike the ones from TW.
Central tendency measures:
- Mean (if everything's cool & equal);
- Median (values clustering towards low/high part of the rolling window);
- Trimean (3/more distinguishable clusters of data);
- Midhinhe (2 distinguishable clusters of data);
- Geometric Mean ( |low.. ... ... .. .... ... . . . . . . . . . . . .high| this kinda data); <- Exp law
- Harmonic Mean { |low. . . . . . . . . . . . . . .. . . .high| kinda data). <- Reciprocal law
Listen:
1) Don't hesitate using Standard Deviation with non-mean, like "Midhinge Standard Devition", despite what ol' stats gurus gonna say, it works when it's appropriate;
2) Don't check log space while using Geometric Mean & Geometric Standard Deviation, these 2 implement log stuff by design, I mean unless u wanna make it double xd
3) You can use this script, modify it how you want, ask me questions whatever, just make money using it;
4) Use Midrange & Midpoints in tandem when data follows ~addition law (like this . . . . . . . . . . . . . . . . . . . . .). <- just addition law
Look at the data, choose spread measure first, then choose central tendency measure, not vice versa.
!!!
Ain't gonna place ® sign on standard deviations like one B guy did in 1980s lmao, but if your wanna use Harmonic Deviations in science/write about/cite it/whatever, pls give me a lil credit at least, I've never seen it anywhere and unfortunately had to develop it by myself. it's useful when your data develops by reciprocals law (opposite to exponential).
Peace TW
VAMA Volume Adjusted Moving Average BandsThis indicator is standard deviation bands using a live analysis adaptation of Richard Arms' Volume Adjusted Moving Average as their basis. VAMA utilizes a period length that is based on volume increments rather than time.
• SampleN - N volume bars used as sample to calculate average volume , 0 equals all bars.
• VAMA Source - Price used for volume weighted calculations.
• VAMA Length - Specified number of volume ratio buckets to be reached.
• VAMA VI Fct - Size of volume ratio buckets.
• VAMA Strict - Must meet desired volume requirements, even if number of bars has to exceed VAMA Length to do it.
• STDV Factor - Standard Deviation multiplier.
• STDV Length - Standard Deviation period.
• Brightness - Color opaqueness for the band fills.
Please see previous published example here for more details on VAMA's usage and inability to redraw the past on time based charts.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
BTCUSDT Volume Weighted Average Price & KairiThis indicator calculates VWAP (Volume Weighted Average Price) for major crypto exchanges with BTCUSDT pairs and shows what percentage each exchange deviates from VWAP.
I made a "BTCUSD" version of this in the past, but many people also want to see “BTCUSDT”, so I made this indicator.
When the parameter "Display" is "Basis", this deviation is expressed in%. Therefore, VWAP is always drawn as "0.00%".
VWAP is calculated using the BTCUSDT prices and volumes of the following exchanges.
These exchanges are the ones Binance refers to when indexing.
- Bitfinex
- Binance
- Huobi
- OKEx
- Bittrex
- HitBTC
VWAP of this indicator calculates the volume for each candlestick , so it will be closer to the actual value.
When there is a big movement in the short term, it is easy to be swayed.
If you set the parameter "Display" to "Basis_SMA", it will calculate the simple moving average of the deviation rate, so it will be hard to be swayed.
Set the desired "Length".
If you want to know the actual value of VWAP , set the parameter "Display" to "Price" and the actual BTCUSDT prices will be displayed.
Warning: This indicator also shows BTCUSDTPERP, but these pairs are not included in the VWAP calculation. be careful.
Harmonic MADsNo, it's not a new saturation plugin for your fruity loops.
...
These are Mean Average Deviations calculated from Harmonic Mean.
...
In my previous research I tried to develop "Harmonic Average Deviations", since applying stdevs on Harmonic Mean calculated from reciprocals ain't make sense. Din't work out, prolly cuz by definition stdevs doesn't like negatives. So in the end I ended up using Mean Average Deviations, and turned out it works great. Generally market data doesn't distribute normally, so t's a great tool, now weird kurtosis won't be a problem.
Bollinger Bands T3/SMA/EMAThis is Bollinger Bands script with an option to choose three different moving averages. The simple moving average is the original settings used by Mr Bollinger. Exponential is a popular choice as it adds more value to the recent price movements. T3 is a lot faster at adapting to the recent price. Compared to exponential, it gives even more value to the recent prices and furthermore, it is smoother. I use it to polish my True Range scripts.
Another upgrade is the ability to have a different colour of the channel when the baseline moves up or down.
Back to calculation? Is it better to use T3 with Bollinger? My opinion is that it depends on the trader. Both of them give you slightly different information and it is essential to look at the historical behaviour and answer for yourself. Will I use T3 calculation? Well, I built this script to find out if I want to.
Have a great trade!
Realized Volatility IIR Filters with BandsDISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The following indicator was made for NON LUCRATIVE ACTIVITIES and must remain as is following TradingView's regulations. Use of indicator and their code are published by Invitation Only for work and knowledge sharing. All access granted over it, their use, copy or re-use should mention authorship(s) and origin(s).
WARNING NOTICE!
THE INCLUDED FUNCTION MUST BE CONSIDERED AS TESTING. The models included in the indicator have been taken from open sources on the web and some of them has been modified by the author, problems could occur at diverse data sceneries.
WHAT'S THIS...?
Work derived by previous own research for study:
This is mainly an INFINITE IMPULSE RESPONSE FILTERING INDICATOR , it's purpose is to catch trend given by the nature of lag given by a VOLATILITY ESTIMATION ALGORITHM as it's coefficient. It provides as well an INFINITE IMPULSE RESPONSE DEVIATION FILTER that uses the same coefficients of the main filter to plot deviation bands as an auxiliary tool.
The given Filter based indicator provides my own Multi Volatility-Estimators Function with only 3 models:
ELASTIC VOLUME WEIGHTED VOLATILITY : This is a Modified Daigler & Padungsaksawasdi "Volume Weighted Volatility" as on DOI: 10.1504/IJBAAF.2018.089423 but with Elastic Volume Weighted Moving Average instead of VWAP (intraday) for faster (but inaccurate) calculation. A future version is planned on the way using intra-bar inspection for intraday timeframe as described in original paper.
GARMAN & KLASS / YANG-ZANG EXTENSION : As one of the best range based (OHLC) with open gaps inclusion in a single bar.
PETER MARTIN'S ULCER INDEX : This is a better approach to measure realized volatility than standard deviation of log returns given it's proven convex risk metric for DrawDowns as shown in Chekhlov et al. (2005) . Regarding this particular model, I take a different approach to use it as coefficient feed: Given that the UI only takes in consideration DrawDawns, I code myself the inverse of this to compute Draw-Ups as well and use both of them to filter minimums volatility levels in order to create a SLOW version of the IIR filter, and maximums of both to calculate as FAST variation. This approach can be used as a better proxy instead of any other common moving average given that with NO COMPOUND IN TIME AT ALL (N=1) or only using as long as N=3 bars of compund, the filter can catch a trend easily, making the indicator nearly a NON PARAMETRIC FILTER.
NOTES:
This version DO NOT INCLUDE ALERTS.
This version DO NOT INCLUDE STRATEGY: ALL Feedback welcome.
DERIVED WORK:
Incremental calculation of weighted mean and variance by Tony Finch (fanf2@cam. ac .uk) (dot@dotat.at), 2009.
Volume weighted volatility: empirical evidence for a new realised volatility measure by Chaiyuth Padungsaksawasdi & Robert T. Daigler, 2018.
Basic DSP Tips & Trics by TradingView user @alexgrover
CHEERS!
@XeL_Arjona 2020.
VWAP Pack v1.00This script shows Volume Weighted Average Price (VWAP) from any TF in any TF chart. For example you can set 2 months VWAP in 30 minutes chart and see strong developing levels from higher TF. You can also switch on historical values. Together you can see 5 developing levels (POC, 2 first and 2 second standard deviation levels) and 5 historical levels from previous profile. Next levels you can use are Session open levels, which can be customized in any time you like (London open, NY open, ...) and you will see these periodicly on your chart. You can also fill the area between Point Of Control and Value Areas to see it more clearly. Last setting is High-Low of one session with changing Mean value in the middle.
send PM or visit website to get access
Historical Volatility Percentile + SMAHistorical Volatility Percentile tells you the percentage of the days from the past year (252 trading days) that have lower volatility than the current volatility.
I included a simple moving average as a signal line to show you how volatile the stock is at the moment.
I have included simple colors to let you know when to enter or exit a position.
Buy when price higher than EMA & historical volatility higher than SMA
Sell when price lower than EMA & historical volatility higher than SMA
Please let me know if you would like me to publish any other indicators! I always love to hear from you guys.
BTCUSD Volume Weighted Average Price & KairiThis indicator calculates VWAP(Volume Weighted Average Price) for major crypto exchanges with BTCUSD pairs and shows what percentage each exchange deviates from VWAP.
When the parameter "Display" is the default value "Deviation", this deviation is expressed in%. Therefore, VWAP is always drawn as "0.00".
VWAP is calculated using the BTCUSD prices and volumes of the following exchanges.
These exchanges are the ones BitMEX refers to when indexing (excluding ITBIT).
・ Coinbase
・ Bitstamp
・ Kraken
・ Gemini
・ Bittrex
Therefore, VWAP shows a price close to ".BXBT" of BitMEX.
However, while BitMEX has a fixed weight, VWAP of this indicator calculates the volume for each candlestick, so it will be closer to the actual value.
When there is a big movement in the short term, it is easy to be swayed.
If you set the parameter "Display" to "Deviation_SMA", it will calculate the simple moving average of the deviation rate, so it will be hard to be swayed.
Set the desired "Length".
If you want to know the actual value of VWAP, set the parameter "Display" to "Price" and the actual BTCUSD prices will be displayed.
* Warning: This indicator also shows BitMEX and Bitfinex, but these two exchanges are not included in the VWAP calculation. be careful.
Mean Absolute Deviation BandsThe other way to build bands around price that uses Mean Absolute Deviation instead of Standard Deviation.
MAD is also a measure of variability, but less frequently used. MAD is better for use with distributions other than the Gaussian.
MAD is always less than or equal to Standard Deviation and the resulting bands are more tighter for the same parameters if we compare it to Bollinger Bands.
If you use band stops this can be useful.
KLemurs DeviationMarket: Stocks and ETF's
This overlay shows the deviation of the exponential moving average of the mid candle price of the currently loaded chart, away from the exponential moving average of the S&P and DOW combined and averaged mid candle price. The top and bottom lines also give a visual perspective of what a certain percentage (default 1%) looks like on the current charts window. This may help with making quick decisions for things like setting trailing stop trades with a percentage. This can be used for stocks, ETF's, and index's and It may be useful in finding potential stocks or ETF's if you are interested in these kinds of deviations. Defaults are set for a dark screen but can be edited to your taste. It's optimized to be an overlay on the current chart window as opposed to being a separate window.
Percentage Lines (editable)
This is three lines. The upper line (default green) plots the set percentage (default 1%) above the current chart’s ema. The middle line (default white) plots the current chart’s ema. The lower line (default red) plots the set percentage (default 1%) below the current chart’s ema.
Deviation Band (editable)
This is the colored band on the overlay between the upper and lower percentage lines. The band’s fill color indicates the deviation of the current charts ema from the ema of the combined S&P and DOW’s ema as follows:
- Red (default) = Current Chart’s ema is descending and the S&P/DOW ema is descending OR the Current Chart’s ema is below (underperforming) the S&P/DOW ema.
- Orange (default) = The Current Chart and S&P/DOW ema’s are both either ascending or descending together.
- Green (default) = The Current Chart’s ema is ascending but the S&P/DOW ema is descending.
To Set Line Colors
BY default, the upper line color uses the same colors as the ascending band color and the lower line uses the same color as the descending band color. To set the line colors, see "plotColor", "plotColorUp", or" plotColorDown" in variable settings within the script or use the “Central Plot Line”, “Upper Plot Line, or “Lower Plot Line” in the input dialogue to change this.
To Set Band Colors
To set the band colors, see "plotColor", "plotColorUp", or "plotColorDown" in variable settings within the script or use the “Color0”, “Color1", or “Color2” in the input dialogue to change this.
To Set EMA Lookback Period
The ema lookback period defaults to 5. This is the number of candles back that the script will use to determine the ema. See “CCemaN” in variable settings within the script or use the “EMA Period” in the input dialogue to change this.
To Set Percentage
To set the percentage that plots the upper and lower lines, see "CCP" in variable settings within the script or use “Upper/Lower Bands Percentage” in the input dialogue to change this. The default is .01 (or 1%).
