Weighted stdev/BBThe basis/mean is the equivalent to the pine built in function wma(). It assigns greater weighting to recent data points and less weighting on past data points. The weighted moving average is calculated by multiplying each observation in the data set by a predetermined weighting factor.
Similarly the stdev is calculated using the same weighting factors where recent deviations are given greater weight than past deviations.
스탠다드 디비에이션 (볼래틸리티)
Stdev Breakout StrategyStdev Breakout Strategy
Description:
This script generates a long entry signal when the Standard Deviation crosses over the Simple Moving Average and the Close is greater than the Open, and/or generates a short entry signal when the Standard Deviation crosses under the Simple Moving Average and the Close is less than the Open.
CV_VWAP_GMECoefficient of variance GME ‰
Gray area: Regional price variance of GME in per milles
Light gray thick line: NYSE:GME deviation from global mean
1. Select a chart 24-hour ticker like FX_IDC:USDEUR
2. Select a timescale (5 min, 15 min, ...)
3. Monitor the regional price variance
Exchanges included: NYSE, XETR, BMV, FWB, SWB, BITTREX, FTX
Currency conversion: Forex
Adapted from Detecting the great short squeeze on Volkswagen, Godfrey, K. (2016, February 18).
ATR Without OutliersIt is an ATR indicator which filters out outliers.
Outliers are values which are higher than the standard deviation of the true range.
It may be better than normal ATR for stop loss, because it does not keep large values after pump or dump.
It is very useful for high volatile markets like crypto markets.
SuperTrendRange by DGTSuperTrendRange study attempts to determine the state of the market
• whether a well-established bull/bear trend is present
• whether the market is trading in a range
SuperTrendRange (STR) takes into account the volatility of the market - further details regarding volatility can be found in the description of “Volatility Bands by DGT” study
Due to its similarities to SupertTrend (ST) and Parabolic SAR (SAR), I will try to explain by stating differences between them
SuperTrendRange uses both the ATR (Average True Range) and STDEV (Standard Deviation) as part of its calculations - unlike ST and SAR where they use only ATR
Sensitivity of the indicator is adjusted using the multiplier setting of both ATR and STDEV
Additionally, unlike ST, the source of the basis of SuperTrendRange can be selected among the assets price value or its moving average
Source and Length are adjustable too
The SuperTrendRange, like Parabolic SAR indicator, appears on a chart as a series of dots, either above, below or unlike Parabolic SAR both above and below of the asset's price
A dot placed
- below the price when the market is trending upward
- above the price when it is trending downward
- both above and below when the price starts moving sideways – this is a feature that both SuperTrend and Parabolic SAR misses, where they are known to produce false signals and losing trades, whereas SuperTrendRange emphasis the zones of the ranges occurring and in most cases are considered no trade recommended zones. Please note that the range width may vary depending on how the market is volatile. It is up to the users to trade if it fits their trading strategies
Dots plotted above and below can be assumed as Support and Resistance levels
Example usages – with trading opportunities
Gold Monthly Chart
Bitcoin Daily Chart
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Z-Score 'Bollinger Bands'The following script is an application of the Z-Score (previous script).
Z-Scores can be used in place of standard deviation (sigma) in 'Bollinger Bands'.
The average of the sample (x-bar) over 21 days (N)
21 average trading days per month, fixed value
The average of the population (mu) over 63 days (n)
63 days per quarter, default is set to 63
Z-Score is calculated by formula in previous script, and the absolute value is taken of "Z".
Z-High = absolute value of Z + (x-bar).
Z-Low = absolute value of Z - (x-bar).
Will update with Z from mu and Z from avg (working on UX and visualization details).
Portfolio Metrics = α(Jensen's), β, CAPM(Ra), Sharpe, TreynorPortfolio Metrics...
Standard Deviation
Jensen's Alpha
Beta
Expected Return (CAPM, Ra)
Sharpe Ratio
Treynor Ratio
Exertion MeterHello traders, today I wanted to present you something special. I present you the Exertion Meter!
Created from scratch, this idea is based on a theory of mine called "Exertion".
Exertion occurs when price moves beyond the previous bar's range thus it has "exerted itself".
The idea is that when price moves a lot, it exerts a lot of energy which eventually leads to calmer motion, usually in the direction price has exerted itself.
Now, when price has exerted itself a lot in a particular direction, it's telling you that it will likely continue in that direction.
Once this happens, it will gradually calm down until price begins the cycle again, exerting itself in either the same or opposite direction.
This theory is similar to the theory of expansion & contraction phases.
This indicator attempts to show you where price has exerted itself by giving you a two lines cross signal.
The default settings are recommended, but experimentation is encouraged to fit your own personal system.
Both settings control the standard deviation line ( aka . Upper Bollinger Band ).
Enjoy, and hit the follow button to get easy access to all my indicators and to follow my latest publications!
Volatility based Standarde Deviation and Fib. Pivot PointsThis indicator plots Standard deviation levels and Fib. Pivot Points. I prefer to use only SD levels but Fib. levels also come handy in providing support and resistance.
How to use this indicator:
You have to manually enter instrument's Closing Price / Settlement Price and VIX closing price to draw each day's levels.
For NQ, I use VXN closign price and for ES or RTY, I use VIX closing price.
This indicator can be used on individual stocks and forex pairs.
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!
StDev Based Trendlines - JDAs a second alternatively based trendline script this is the Standard Deviation vesrion.
This script draws trendlines from the pivot points in the price chart.
The angle of the trendlines is determined by (a percentage of) the Standard Deviation.
The angle follows the change in price, compared to the StDev at the moment where the pivot point is detected
The StDev percentage determines if the trendline follows the rate of change of the StDev or a fraction ( value < 100) or a multiple ( value > 100) of that
JD.
#NotTradingAdvice #DYOR
Disclaimer.
I AM NOT A FINANCIAL ADVISOR.
THESE IDEAS ARE NOT ADVICE AND ARE FOR EDUCATION PURPOSES ONLY.
ALWAYS DO YOUR OWN RESEARCH!
Trend Analysis IndicatorThe Trend Analysis Indicator was created by Adam White (Stocks & Commodities V. 10:8 (358-360)) and this is not to be confused with the Trend Analysis Index which was also created by Adam White. The stock is trending when it is above the signal and loses steam when it falls below the signal. Generally you should buy when it is above it's signal and sell when it goes below the signal.
Let me know if you would like me to write more scripts!
Variable Length Moving AverageThe Variable Length Moving Average was created by George R. Arrington Ph.D. (Stocks & Commodities V. 9:6 (219-223)) and I'm really loving this indicator. It is a great moving average that hugs the price very closely and it is fully adjustable to your needs. It detects signals extremely well and I have color coded the moving average line to make it very easy to interpret.
This is not to be confused with the Variable Moving Average created by Tushar S. Chande and as of now I haven't seen any other script for this moving average out there yet.
Please let me know if you would like me to write any other scripts for indicators you would like to see!
Corrected Moving AverageThis moving average was originally developed by professor Andreas Uhl in 2005 (The paper in German: www.buero-uhl.de). Here is the guy himself: wavelab.at
The strength of the CMA is that the current value of the time series must exceed the current volatility-dependent threshold, so that the filter increases or falls, avoiding false signals in weak phases.
The straight line of CMA can be used for a ranging market identification
[e2] Bitcoin Halving Key & AvwapThis indicator shows a Key Level Support & Resistance level and VWAP that reset on your choice of the Bitcoin's halving date.
Optional Key Calculation Mode:
- Start with first (2012) or second (2016) halving date.
- Start with first and reset on the second (Halving to halving mode)
- Start with every next halving simultaneously (Halving + halving mode)
Labels show the Market Capitalization, total minted Bitcoins and Bitcoin's close price on the halving's date.
A maximum of 5 bands calculated using a factor of the anchored VWAP's standard deviation can be displayed.
Note
- The script is designed for Bitcoin markets only.
- Estimated 3rd halving, script will be updated when next halving occurs.
[e2] EDS Key & AvwapThis indicator shows a Key Level Support & Resistance level and VWAP that resets on your choice of the stock's Earnings , Dividends or Splits release date.
A maximum of 8 bands calculated using a factor of the anchored VWAP's standard deviation can be displayed.
Note
The script is designed for stock-trading only.
Credits
Inspired by timwest , LazyBear 's Earnings S/R Levels and MichelT 's Earnings, Splits, Dividends scripts.
SMU STDEV Candles This script creates a STDEV in a candle format so you can see the Change in a candle format and compare it with the actual price candle.
Is very similar to SMU RSI and SMU ROC. The interesting part is to see the full effect of traditional indicators in a candle format rather than a simple plot format. Very interesting view in SPX. There is a very big clue in the chart as STDEV changed since 2008. Can you figure it out?
Also, try this in lower time frame and you will be amazed how Algo kills volatility after each upside or downside. Fascinating
Functions Allowing Series As Length - PineCoders FAQ█ WARNING
Improvements to the following Pine built-ins have deprecated the vast majority of this publication's functions, as the built-ins now accept "series int" `length` arguments:
ta.wma()
ta.linreg()
ta.variance()
ta.stdev()
ta.correlation()
NOTE
For an EMA function that allows a "series int" argument for `length`, please see `ema2()` in the ta library by TradingView .
█ ORIGINAL DESCRIPTION
Pinescript requires many of its built-in functions to use a simple int as their period length, which entails the period length cannot vary during the script's execution. These functions allow using a series int or series float for their period length, which means it can vary on each bar.
The functions shared in this script include:
Rolling sum: Sum(src,p)
Simple moving average: Sma(src,p)
Rolling variance: Variance(src,p)
Rolling standard deviation: Stdev(src,p)
Rolling covariance: Covariance(x,y,p)
Rolling correlation: Correlation(x,y,p)
If p is a float then it is rounded to the nearest int .
How to Use the Script
Most of the functions in the script are dependent on the Sma function. The Correlation function uses the Covariance and Stdev functions. Be sure you include all the required functions in your script.
Make sure the series you use as the length argument is greater than 0, else the functions will return na . When using a series as length argument, the following error might appear:
Pine cannot determine the referencing length of a series. Try using max_bars_back in the study or strategy function.
This can be frequent if you use barssince(condition) where condition is a relatively rare event. You can fix it by including max_bars_back=5000 in your study declaration statement as follows:
study("Title",overlay=true,max_bars_back=5000)
Example
The chart shows the Sma , Stdev , Covariance and Correlation functions. The Sma uses the closing price as input and bars as period length where:
bars = barssince(change(security(syminfo.tickerid,"D",close ,lookahead=true)))
The Stdev uses the closing price as input and bars + 9 as period length. The Covariance and Correlation use the closing price as x and bar_index as y , with bars + 9 as period length.
Look first. Then leap.
Function : Bollinger Bands and BBW Squeeze DetectorThis script shows Bollinger Bands function and want to detect Bollinger Band Width Squeeze with a successful, different perspective .
Bollinger Bands : You can specify the Bollinger Bands periods as mutable variables .
Bollinger Band Width Squeeze : First the Bollinger bands width was calculated.The width was then divided into levels using the money flow index.
Thus, the bollinger takes into account the available volume averages when calculating the band width mfi (Money Flow Index).
After this modelling, we can limit and color the lower limit and upper limits just as Relative Strength Index.
We can even put warnings on oversold areas if desired. Let's not forget that we are working with width rather than price.
By design, squeeze areas are defined directly above the Bollinger Bands with coloration. I think it is very practical and looks stylish.
I tried and found it quite successful and wanted to share it with users.
I came up with many ideas when I wrote this system, and I will share them very soon . I hope it will be useful to users and give new ideas.
Best regards.
Standard Deviation - Sum Of The Squares Minus Square Of The SumsIntroduction
The standard deviation measure the dispersion of a data set, in short this metric will tell you if your data is on average closer or farther away from the mean. Its one of the most important tools in statistics and living without it is pretty much impossible, without it you can forget about Bollinger-bands, CCI, and even the LSMA (ouch this hurt) .
Now i don't want to extend myself about the standard deviation since that would require a huge post but i want to show you how to calculate the standard deviation from the stdev pinescript function.
Sum Of The Squares Minus Square Of The Sums
Any metric calculated from a moving average can be classified as "running", this mean that the metric constantly update itself and is not constant, this is why it is better to say "running standard deviation" but its okay. If we use the standard calculation for the standard deviation which would be sqrt(sma(pow(close - sma,2))) we might get something totally different from the stdev function :
In white the pine stdev function and in red the standard calculation of both period 4, its clear that both are not the same, one might try to use the Bessel's correction but that won't do either, this is because most technical analysis tools will calculate the square root of the "Sum Of The Squares Minus Square Of The Sums" method to estimate the standard deviation
Another way is to use :
a = sqrt(sma(pow(close,2),length) - pow(sma(close,length),2))
By returning the difference we might still see some errors :
Nothing relevant of course.
Conclusion
Some of you might already be aware of this but a reminder is always good since it can be confusing to make what can be considered the good standard deviation formula and then have something totally different from the pine function, i hope this post will be useful and that you learned something from it.
Thanks for reading :)
Dorsey InertiaThis indicator was originally developed by Donald Dorsey (Stocks & Commodities, V.13:9 (September, 1995): "Refining the Relative Volatility Index").
Inertia is based on Relative Volatility Index (RVI) smoothed using linear regression.
In physics, inertia is the tendency of an object to resist to acceleration. Dorsey chose this name because he believes that trend and inertia are related and that it takes more effort and energy to reverse the direction of a stock or market than to keep it in the same direction. He argues that the volatility is the simplest and most accurate measure of inertia.
When the indicator is below 50, it signals bearish market sentiment and when the indicator is above 50 it signals a bullish trend.
Good luck!
