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Standard Deviation (Volatility)

[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.
Pine Script® indicator
by e2e4
12
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
Pine Script® indicator
by stockmarketupdate
2
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.
Pine Script® indicator
by PineCoders
29
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.
Pine Script® indicator
by Noldo
1
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 :)
Pine Script® indicator
by alexgrover
19
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!
Pine Script® indicator
by everget
5
Relative Volatility IndexCorrected Relative Volatility Index. This indicator was originally developed by Donald Dorsey (Stocks & Commodities V.11:6 (253-256): The Relative Volatility Index). The indicator was revised by Dorsey in 1995 (Stocks & Commodities V.13:09 (388-391): Refining the Relative Volatility Index). I suggest the refined RVI with optional settings. If you disabled Wilder's Smoothing and Refined RVI you will get the original version of RVI (1993, as built-in). Also, you can choose an algorithm for calculating Standard Deviation.
Pine Script® indicator
by everget
10
BBLathe2: Bollinger Band Lathe w/ Elder's Force Index [sclark39]Welcome to the second version of the BBLathe! This shows Bollinger Bands centered on a horizontal basis, to make it easier to see how volatility is changing and identify squeeze opportunities. By default Bollinger bands are calculated using an exponential moving average and an improved higher precision stdev implementation, but this can be disabled. Version 2 also shows Elder's Force Index as a white histogram, so you can see some volume information to help confirm the power of the bears/bulls. The green/red shadow shows how the Bollinger's basis is changing, and when it is going up there will be a green shadow underneath the basis line (this can be inverted in the settings). There is also price line (yellow) showing the location of the price within the Bollinger Bands. Use this indicator for trades at your own risk, I made this for fun and it is not a trade recommendation. That being said, if you like my work please tip me! ETH: 0xf8E0Ea503B5c833fD4546E7fa2c70EcE42A27C8A Please comment with feedback and requests!
Pine Script® indicator
by sclark39
12
Bollinger Bands + 2 MA (Exponential)Basic Bollinger Bands implementation, with the option to use an exponential moving average and a more accurate stdev function than the builtin. This also includes two extra MA lines which can be tuned as you like, to reduce the number of indicators needed (the bollinger basis is also a moving average, so in total you get 3MA out of this indicator). This draws an inner/outer envelope which can be tuned, by default it is set to 1-2STDEV. This uses the same same improvement to stdev as my other bollinger indicator: See more info about the bultin stdev here:
Pine Script® indicator
by sclark39
1
OHLC Volatility Estimators by @Xel_arjonaDISCLAIMER: 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 embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is by Creative-Commons as TradingView's regulations. Any use, copy or re-use of this code should mention it's origin as it's authorship. WARNING NOTICE! THE INCLUDED FUNCTION MUST BE CONSIDERED AS DEBUGING CODE The models included in the function have been taken from openly sources on the web so they could have some errors as in the calculation scheme and/or in it's programatic scheme. Debugging are welcome. WHAT'S THIS? Here's a full collection of candle based (compressed tick) Volatility Estimators given as a function, openly available for free, it can print IMPLIED VOLATILITY by an external symbol ticker like INDEX:VIX. Models included in the volatility calculation function: CLOSE TO CLOSE: This is the classic estimator by rule, sometimes referred as HISTORICAL VOLATILITY and is the must common, accepted and widely used out there. Is based on traditional Standard Deviation method derived from the logarithm return of current close from yesterday's. ELASTIC WEIGHTED MOVING AVERAGE: This estimator has been used by RiskMetriks®. It's calculation is based on an ElasticWeightedMovingAverage Standard Deviation method derived from the logarithm return of current close from yesterday's. It can be viewed or named as an EXPONENTIAL HISTORICAL VOLATILITY model. PARKINSON'S: The Parkinson number, or High Low Range Volatility, developed by the physicist, Michael Parkinson, in 1980 aims to estimate the Volatility of returns for a random walk using the high and low in any particular period. IVolatility.com calculates daily Parkinson values. Prices are observed on a fixed time interval. n=10, 20, 30, 60, 90, 120, 150, 180 days. ROGERS-SATCHELL: The Rogers-Satchell function is a volatility estimator that outperforms other estimators when the underlying follows a Geometric Brownian Motion (GBM) with a drift (historical data mean returns different from zero). As a result, it provides a better volatility estimation when the underlying is trending. However, this Rogers-Satchell estimator does not account for jumps in price (Gaps). It assumes no opening jump. The function uses the open, close, high, and low price series in its calculation and it has only one parameter, which is the period to use to estimate the volatility. YANG-ZHANG: Yang and Zhang were the first to derive an historical volatility estimator that has a minimum estimation error, is independent of the drift, and independent of opening gaps. This estimator is maximally 14 times more efficient than the close-to-close estimator. LOGARITHMIC GARMAN-KLASS: The former is a pinescript transcript of the model defined as in iVolatility . The metric used is a combination of the overnight, high/low and open/close range. Such a volatility metric is a more efficient measure of the degree of volatility during a given day. This metric is always positive.
Pine Script® indicator
by xel_arjona
14
Volume (D)EMAA simple yet configurable indicator that shows recent traffic volumes. The time period is specified as weeks/days/hours/minutes, not as bars. Set the volume period to non-zero if you want to use a generalized double EMA instead of plain. The "ratio" option will show the size of the current volume compared to the average volume as computed for the specified time period; say hello to fat tails and goodby to "standard" and "normal" and "average". With the "together" option, it compares the current volume to the both sides together (buy+sell), otherwise it compares it to just its respective side.
Pine Script® indicator
by timtom85
Volume (D)EMAA simple yet configurable indicator that shows recent traffic volumes. The time period is specified as weeks/days/hours/minutes, not as bars. Set the volume period to non-zero if you want to use a generalized double EMA instead of plain. The ratio option will show the size of the current volume compared to the volume in the specified time period (expect to see something very non-Gaussian, say goodby to trusting your ATR and stddev, and say hello to fat tails.) With the "together" option, it compares the current volume to the both sides together (buy+sell), otherwise it compares it to just its own.
Pine Script® indicator
by timtom85
1
Standard Error Bands by @XeL_arjonaStandard Error Bands - Code by @XeL_arjona Original implementation by: Traders issue: Stocks & Commodities V. 14:9 (375-379): Standard Error Bands by Jon Andersen Version 1 For a quick and publicly open explanation of this Statistical indicator, you can refer at Here! Extract from the former URL: Standard Error bands are quite different than Bollinger's. First, they are bands constructed around a linear regression curve. Second, the bands are based on two standard errors above and below this regression line. The error bands measure the standard error of the estimate around the linear regression line. Therefore, as a price series follows the course of the regression line the bands will narrow, showing little error in the estimate. As the market gets noisy and random, the error will be greater resulting in wider bands.
Pine Script® indicator
by xel_arjona
4