Day of Month - Volatility Report█ OVERVIEW
The indicator analyses the volatility and reports the statistics by the days of the month.
█ CONCEPTS
The markets move every day. But how does a market move during a month?
Here are some ideas to explore:
Does the volatility kick in with the start of a new month?
Do the markets slow down at the end of the month?
Which period of the month is the most volatile?
How does this relate to your best and worst trades?
When should you take a break?
DAX
EURGBP
Binance Coin
█ FEATURES
Comparison modes
Compare how each day moves relative to the monthly volatility or the average daily volatility.
Configurable outputs
Output the report statistics as mean or median.
Range filter
Select the period to report from.
█ HOW TO USE
Plot the indicator and visit the 1D, 24H, or 1440 minutes timeframe.
█ NOTES
Gaps
The indicator includes the volatility from gaps.
Trading session
The indicator analyses each day from the daily chart, defined by the exchange trading session (see Symbol Info).
Extended trading session
The indicator can include the extended hours when activated on the chart, using the 24H or 1440 minutes timeframe.
Overnight session
The indicator supports overnight sessions (open and close on different calendar days). For example, EURUSD will report Monday’s volatility from Sunday open at 17:00 to Monday close at 17:00.
This is a PREMIUM indicator. In complement, you might find useful my free Time of Day - Volatility Report .
Recherche dans les scripts pour "Volatility"
Alpha Trading - Alpha Volatility Zscore - Coder WolvesAlpha Trading Volatility Z-SCORE (AVZ)
Alpha Trading is a community built by traders, for traders. The development of our indicators follows this same premise. We make indicators that make trading more efficient. We are proud to bring you the Alpha Trading Volatility Z-Score (AVZ).
A Z-score is a numerical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean.
At Alpha Trading, we are always pushing ourselves. We have deployed Z -Score to the Mean of Returns (Rather than Price) in some of our other indicators.
On the AVZ we have applied a Z-Score to the Historic Volatility (HV), as a volatility model for HV we used the sample standard deviation of log returns. We have also added R (Correlation Coefficient) which allows the trader to turn this into a directional indicator. Can be used in a similar way to indicators such as the Alpha Volatility Radar, and the Coefficient of Variation on the Wolfsbane indicator.
Z-Score Plot - On the Z-Score plot we have added color gradient. Color grading is based on, how near/far the Z Score is from the Standard Deviation bands. Regular Z-Score plot is 2 colors, Blue shows the Z-Score, Pink shows when there is a Statistical Outlier on the Z-Score.
R - For the R (Displayed in Columns by default), this shows the the correlation between the asset you are trading and the Z-Score of Historic Volatility. This allows us to use the Alpha Trading Volatility and Correlation Scenarios.
We have added a customizable Deviation band and 3 confidence intervals, 90%, 95%, and 99% as well.
Basic Trade Signals
Volatility and Correlation Scenarios
• AVZ expansion + positive correlation = pump
• AVZ expansion + negative correlation = dump
• AVZ contraction + positive correlation = price moves down
• AVZ contraction + negative correlation = price moves up
• AVZ sideways + positive correlation = price moves down
• AVZ sideways + negative correlation = price moves up
Long - When Z-Score moves to the upside, which shows there is Volatility expansion, and the R is positively correlated.
Short – When Z-Score moves to the upside, which shows there is Volatility expansion, and the R is negatively correlated.
Refer to the above Volatility and Correlation Scenarios for other movements.
1st chart shows AVZ on regular mode without color grading and AVZ in line form. Chart also shows AVZ occurrences and the PA movement associated with it.
2nd chart shown AVZ on color grading mode and AVZ in stepline with diamonds form.
Historical Volatility Percentile: Price and VolumeThis is an expansion of the Historical Volatility scripts to include both price and volume volatility.
As Tradingview states :
Historical Volatility is a measure of how much price (and now volume ) deviates from its average in a specific time period that can be set. The more price (or/and volume ) fluctuates, the higher the indicator value. Please note it does not measure the direction of price (and volume ) changes, just how volatile price/ volume has become. There are several reasons to care about volatility but it's mainly a risk measure. As volatility increases, so does risk and uncertainty and vice versa. Traders can use the indicator to flag instruments with high volatility which could point to a trend change. It is often used in combination with other signals.
Example options
Example formats
Link back to some other great ideas:
@Cheatcountry with his prolific sharing , what a great inspiration.
@Picte and his inspired idea .
@Balipour and his great script
Comparing this to other significant HVP indicators
Implied Volatility Percentile (IV Percentile, HVP) [Improved]Indicator showing the Implied Volatility (IV) Percentile for any coin/security.
Areas of low volatility are clearly highlighted. As volatility increases, the IV line moves upwards and the script indicates if the move is Bullish or Bearish.
This script has been designed to be:
Simple - it removes noise and provides a clear visualization of volatility at a glance
Smart - you can define the 'low volatility' threshold and the time period to measure so it can adapt to highly volatile assets in all timeframes
Useful - increased volatility tells us nothing about direction. This script also provides a visual signal indicating if increased volatility corresponds with a bullish or bearish move
How it works:
The script compares the current volatility to the volatility of the last 365 periods. The IV is range-bound between 0% and 100% and so provides a clear view of current volatility relative to previous volatility.
Volatility is typically mean-reverting so the longer a period of low volatility, the more likely it is that an increase is upcoming. This knowledge can be used to place trades in advance of big moves.
Examples of how it can assist your trading:
Using the indicator before Bitcoin's 50% drop in November 2018:
Using the indicator before Cardano's (ADA) 60% rise in early 2019:
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.
Volatility Momentum Score | Lyro RSVolatility Momentum Score | Lyro RS
Overview
The Volatility Momentum Score (VMS) combines price movement and volatility into a single, easy-to-read signal. Using z-scores, standard deviation bands, and flexible display modes, it helps traders identify trends, overbought/oversold conditions, and potential reversals quickly and effectively.
Key Features
Price + Volatility Blend
Tracks price action and volatility with separate z-scores and merges them into a unified momentum score.
Standard Deviation Bands
Upper and lower bands highlight extreme readings.
Adjustable multipliers allow for fine-tuning sensitivity.
Two Signal Modes
Trend Mode: Plots “Long” and “Short” signals when momentum crosses bands.
Reversion Mode: Colors the chart background when the score indicates stretched conditions.
Overbought & Oversold Alerts
▲ markers indicate oversold conditions.
▼ markers indicate overbought conditions.
Custom Colors
Four preset color themes or fully customizable bullish/bearish colors.
Clear Visuals
Dynamic line coloring based on momentum.
Candles recolored at signal points.
Background shading for quick visual assessment.
How It Works
Calculates z-scores for both price and volatility.
Blends the z-scores into a single average score.
Compares the score against dynamic upper and lower bands.
Triggers signals, markers, or background shading depending on the chosen display mode.
Practical Use
Ride trends: Follow Trend Mode signals to align with momentum.
Spot reversals: Watch ▲ and ▼ markers when markets are overextended.
Stay aware: Background shading highlights potentially overheated conditions.
Customization
Set lookback lengths for price, volatility, and bands.
Adjust band multipliers for more or less sensitive signals.
Choose between Trend or Reversion mode based on trading style.
Select color themes or create custom palettes.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other methods and proper risk management. The creators are not responsible for any financial decisions based on its signals.
Volatility level'sThis indicator allows you to visualize and analyze critical levels based on the current market volatility. Using advanced measures such as standard deviations and daily variations, it plots dynamic probability levels (SD+1, SD+2, etc.), while adapting to your customized volatility settings.
Key Features:
Customized Volatility Adaptation :
- Adjust the volatility thresholds (Max Asset Volatility (5d) and Min Asset Volatility (5d)) for asset-specific analysis.
Advanced Visualization:
- Display up to 6 daily probability levels (from SD+3 to SD-3) with customizable lines and labels.
Real-Time Statistics :
- Detailed information table on the asset's positive and negative variations, including standard deviations.
Optimized Graphical Management :
- Option to add colored backgrounds to quickly visualize variations, and toggle vertical lines at day changes.
Precise Filters :
- Eliminate noise by filtering variations based on specific VIX (volatility index) conditions.
This tool is perfect for technical traders looking to integrate probabilistic analysis into their strategy. Add it to your charts and discover a new way to anticipate market movements!
30D Vs 90D Historical VolatilityVolatility equals risk for an underlying asset's price meaning bullish volatility is bearish for prices while bearish volatility is bullish. This compares 30-Day Historical Volatility to 90-Day Historical Volatility.
When the 30-Day crosses under the 90-day, this is typically when asset prices enter a bullish trend.
Conversely, When the 30-Day crosses above the 90-Day, this is when asset prices enter a bearish trend.
Peaks in volatility are bullish divergences while troughs are bearish divergences.
Volume Based Volatility Trail [UAlgo]"Volume Based Volatility Trail ", is designed to identify potential trading opportunities based on volatility and volume analysis. It calculates the Average True Range (ATR) to gauge market volatility and uses a volume-based multiplier to dynamically adjust a trailing stop level. The indicator also incorporates volume analysis to identify high volume periods that might signal potential breakouts.
🔶 Key Features
Volume-Based Volatility Trail: The indicator calculates a trailing stop level based on the ATR, which is then adjusted based on volume. Higher volume periods can lead to a wider trailing stop to account for increased volatility.
Price Source: Users can select the price source (e.g., close, open) for volume calculations.
Customizable Inputs: Users can adjust various parameters like the ATR period, multiplier, smoothing period, volume SMA period, ATR adjustment factor, and colors for buy/sell signals and the trailing stop area.
Buy/Sell Alerts: The indicator generates alerts for potential buy and sell opportunities based on the trailing stop crossing the price.
🔶 Usage
Look for buy signals (▲ marker) when the price crosses above the trailing stop level, potentially indicating a bullish trend.
Conversely, sell signals (▼ marker) appear when the price falls below the trailing stop, suggesting a bearish trend.
The shaded area around the trailing stop represents a buffer zone that might offer some protection against price fluctuations, but it can also indicate areas of potential pullbacks. During volatile periods or after strong price movements, the price might retrace back towards the trailing stop before continuing its trend. This shaded area can help visualize these potential retracement zones.
High volume periods (highlighted by the indicator) can be used in conjunction with other technical analysis to confirm potential breakouts. Analyze these high volume periods alongside price action and other indicators to assess the strength of the breakout and the likelihood of the price continuing its upward move.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Up Down VolatilityThis is just experimental. I wanted the flexibility in looking at volatility and this indicator gives you several ways to do so.
I haven't figured out the best way to use this yet but I suspect that as a form of entry confirmation indicator would be best.
If you find a way this works well for you please drop me a note. It would nice know someone found a way to use it successfully!
The options available are:
* Your source can be price or the ATR.
* It allows you to separate the volatility of the bearish and bullish candles and even allows you to produce differential.
* You can choose to run the result through any one of many smoothers.
With the above options you can look at:
* The normal volatility. That is not split into bearish and bullish components.
* The bearish and bullish volatility and the difference between them.
* The relative bearish and bullish volatility and the difference between them.
The "The relative bearish and bullish" is each one divided into the source before it was split into Up and Down or low/high divided by close which should make the max value roughly around 1.
The code is structured to easily drop into a bigger system so use it as a lone indicator or add the code to some bigger project you are creating. If you do integrate it into something else then send me a note as it would be nice to know it's being well used.
Enjoy and good luck!
volatility-weighted price change divergenceEMA of intrabar-volatility-weighted price change minus EMA of price change. It puts more weights on candles that have large volatility inside, and assumes that the direction of those high-volatility candles are more meaningful than low-volatility ones. Therefore, we take the difference between the volatility-weighted price change and the regular price change and plot the EMA. The indicator may be used as a tool to find divergence and potential reversal, or hints of continuation of a strong trend. Note that this indicator can change a lot with different time frames and settings, so take care to backtest before using. Recommended settings are 15m resolution for time frames longer than 4H and 1m resolution (with 200 EMA length) for time frames below 4H. The resolution is used to find the intrabar volatility.
Leonidas Volatility OscillatorThis indicator is showing the volatility based on ATR or Historical Volatility.
Volatility is one of the most powerful tools to catch explosive moves or identify when the market is in consolidation/distribution phase.
How to use this indicator:
Colors:
Blue Color is they most important color for this indicator .
This color is suggesting the volatility is reaching the lowest point the market is in consolidation/distribution phase. Depending of the time frame after this phase you will see an expansion.
Yellow/Red Color
Usually we will see this when the market is trending.
Trend.
This indicator is interesting because you will know if the volatility is trending powerful to keep your positions or ride the trend .
This indicator will not tell you when to sell or buy.
This indicator will help you to identify explosive moves, consolidation/distribution phases.
Historical Volatility Percentile FilterThis indicator provides a simple market regime filter for Historical Volatility. Depending on the strategy that you are using, it is useful to know how your strategy will perform at different
ranges of volatility, as this can greatly impact your performance. For instance, some of my long-only mean reversion strategies will only take trades where the volatility percentile is not extremely high, as this can often indicate fundamental changes in the security or the start of a big market correction. Some strategies may work better when volatility is higher
Feel free to use the following code along with your strategies to help improve performance and reduce the volatility of your gains in the long term.
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.
Realized VolatilityRealized / Historical Volatility
Calculates historical, i.e. realized volatility of any underlying. If frequency is not the daily, but for example 6h, 30min, weeks or months, it scales the initial setting to be suitable for the different time frame.
Examples with default settings (30 day volatility, 365 days per year):
A) Frequency = Daily:
Returns 30 day historical volatility, under the assumption that there are 365 trading days in a year.
B) Frequency = 6h:
Still returns 30 day historical volatility, under the assumption that there are 365 trading days in a year. However, since 6h granularity fits 4 times in 24 hours, it rescales the look back period to rather 30*4 = 120 units to still reflect 30 day historical volatility.
Scott’s volatility histogramATR shows volatility. SMA of ATR measures the average volatility over a chosen look-back period (default 200).
Divergence of ATR and sma is represented as a histogram.
Low periods of volatility are below the zero line. High periods of volatility are above the zero line.
Average volatility over a 200 period look-back is the zero value.
Closed Form Distance VolatilityIntroduction
Calculating distances in signal processing/statistics/time-series analysis imply measuring the distance between two probability distribution, i am not really familiar with distances but since some formulas are in closed form they can be easily used for volatility estimation. This volatility indicator will use three methods originally made to measure the distance of gaussian copulas, using those methods for volatility estimation is fairly easy and provide a different approach to statistical dispersion.
The indicator have a length parameter and a method parameter to select the method used for volatility estimation, i describe each methods below.
Hellinger Method
Each method will use the rolling sum of the low price and the rolling sum of the high price instead of probability distributions. The Hellinger method have many application from the measurement of distances to the use as a cost function for neural networks.
Its closed form is defined as the square root of 1 - a^0.25b^0.25/(0.5a + 0.5b)^0.5 where a and b are both positive series. In our indicator a is the rolling sum of the high price and b the rolling sum of the low price. This method give a classic estimation of volatility.
Bhattacharyya Method
The Bhattacharyya method is another method who use a natural logarithm, this method can visually filter small volatility variation. It is defined as 0.5 * log((0.5a+0.5b)/√(ab)) .
Wasserstein Method
This method was originally using a trimmed mean for its calculation. The original method is defined as the square of the trimmed mean of a + b - 2√(a^0.5ba^0.5) , a median has been used instead of a trimmed mean for efficiency sake, both central tendency estimators are robust to outliers.
Conclusion
I showed that closed form formulas for distance calculation could be derived into volatility estimators with different properties. They could be used with series in a range of (0,1) to provide a smoothing variable for exponential smoothing.
Rogers & Satchell Volatility EstimationFirst off, a huge thank you to the following people:
theheirophant: www.tradingview.com
alexgrover: www.tradingview.com
NGBaltic: www.tradingview.com
The Rogers & Satchell function is a volatility estimator that outperforms other estimators when the underlying follows a geometric Brownian motion 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, the 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.
This script allows you to transform the volatility reading. The intention of this is to be able to compare volatility across different assets and timeframes. Having a relative reading of volatility also allows you to better gauge volatility within the context of current market conditions.
For the signal lie I chose a repulsion moving average to remove choppy crossovers of the estimator and the signal. This may have been a mistake, so in the near-future I might update so that the MA can be selected. Let me know if you have any opinions either way.
Want to Learn?
If you'd like the opportunity to learn Pine but you have difficulty finding resources to guide you, take a look at this rudimentary list: docs.google.com
The list will be updated in the future as more people share the resources that have helped, or continue to help, them. Follow me on Twitter to keep up-to-date with the growing list of resources.
Suggestions or Questions?
Don't even kinda hesitate to forward them to me. My (metaphorical) door is always open.
Quantum Dynamic VolatilityHave you ever wondered why so many forex traders get trapped in weak positions on the wrong side of the market? One of the easiest ways the market makers do this, is by using volatility. A currency pair moves suddenly, often on a news release or economic data. Traders jump in, expecting some quick and easy profits, but the move suddenly moves in the opposite direction. The fear of missing out (FOMO) is one of the most powerful emotions, and one the market makers use constantly.
This happens in all timeframes, and in all currency pairs. The candle or bar closes, with a wide spread, but reverses sharply, leaving traders trapped. But how do you know what’s extreme price action for the currency pair?
The Quantum Dynamic Volatility indicator signals this volatility, using average true range. The indicator is constantly scanning the price action for extremes, and when they arrive, are signaled on the chart with a purple triangle, above and below the candle.
This is a warning signal to stay out. If the signal is validated on the next or subsequent bars with a close well above, it’s safe to consider a position. If you’re in a position, it may be time to close, take your profits and wait.
The Quantum Dynamic Volatility indicator is sending a clear warning. It’s a warning of high risk and telling you to take care. Volatility can seriously damage your wealth. Invest in the Quantum Dynamic Volatility indicator now, and add this to your toolkit of safety first indicators.
[ChasinAlts] Best Volatility Indicator I hope you all enjoy this one as it does a great job at finding runners I did try to search for an example script to reference for quite a while when i first dreamt up this idea bc needed assistance implementing it. This script in particular was one that I began long ago but got put on the back-burner because I couldn't figure out how to implement the flow of logic until I came across a library titled 'Conditional Averages' and published by the “Pinecoders" account. Thus, the logic in this code is partially derived from that () . To understand what the functions/logic do in the beginning of the 'Functions'' section, you must understand how TV presents it's data through the charts.
Wether on the 1sec TF or the 1day (or ANY other), the only time TV prints a bar/candle is when a trade occurs for that asset (i.e. a change in volume). Even if Open=Close on the same candle, the candle will print with the updated price. The % of candles printed out of the TOTAL possible amount that COULD HAVE been printed is the ultimate output that’s calculated in the script. So, if the lookback setting=10min on the 1min TF and only 7 out of the last 10 candles have printed then the value will appear as 70(%). There are MANY benefits to using this method to measure volatility but its vital to recall that the indicator does nothing to provide the direction of future price movement. One thing I’ve noticed is that when a coin is just beginning it’s ascent and its move is considerably larger/longer than all the other coins OR the plots angle is very steep, it is usually the end of a move and the direction is about to abruptly reverse, continuing with it’s volatility. As volatility increases more and more the plot gets brighter and brighter…and also vise versa.
The settings are as follows:
1) which set of Kucoin’s Margin Coins to use (8 possible sets with 32 coins in each set).
2) input how many minutes ago to start counting the total printed candles from (i.e. if setting is input as 1440, count begins from exactly 24hrs(1440min) ago to present candle.
3) there are 3 different lines to choose from to be able to plot:
i. ‘Includes Open==Close’ = adds to count when bar prints but price does NOT change (=t1)
ii. ‘Does NOT include Open==Close’ = count ONLY updates upon price movement (=t2)
iii. ‘Difference’ = (( t1 - t2 ) / t1 ) *100
*** I’ve got some more great ones I will be uploading soon. Just have to create a description for them
Peace out,
- ChasinAlts
Forex Market Live VolatilityHola,
here goes LIVE FX Volatility.
For INTRADAY scalping-> never trade in low volatility areas: the dotted-white line MUST always be higher than the pink lines below.
Pink thresholds above stand for High and Very High volatility moment.
When green peak levels go beyond the chart it means very violent price movements happening (spike behavior because of news releases or any other big fundamental facts and rumors)
Mit liebe gemacht,
Manu
Statistical Volatility - Extreme Value Method This indicator used to calculate the statistical volatility, sometime
called historical volatility, based on the Extreme Value Method.
Please use this link to get more information about Volatility.
Historical Volatility MA - LayeringProvides a historical volatility moving average to show trends in volatility. Meant to be used with Volume MA, and Vol of Vol MA, layered on top of eachother.
