Percentile of Historical Volatility Correlation

Percentile of Historical Volatility and Correlation Coefficient shows if the asset is cheap or expensive based on the volatility. It is used to determine a good entry point. It has two indicators built in: Historical Volatility is ranked percentile wise and its correlation to price action which gives an indication of the direction of a possible future move. Together the both indicators can give good entries and direction.

 

Historical Volatility is a statistical measure of the dispersion of returns for an asset over a given period (Sample Size Historical Volatility). In this indicator the volatility model is calculated as the standard deviation of returns. Weighted with percentile with the given period (Sample Size Percentile). It shows the percentage of candles over the last selected period (Sample Size Percentile) where Historic Volatility was traded below the current level.

That means if PHV (Percentile of Historical Volatility) is at 5%, it was traded only 5% of the time (within percentile period) below that level. If PHV is above 80% it indicates, that historical volatility is higher than usual. So, a strategy could be, enter at a very low PHV, as it will likely expand and a bigger move will happen.

The indicator values are displayed as Columns and range from 0 to 100 [%]. It is NOT a directional indicator, only together with Correlation it is possible to determine direction.

 

Correlation Coefficient is shown in the panel below the PHV to correlate the non-directional indicator to price, to make it directional. Traditional Pearson Correlation is used. It is shown as line and scaled. Usually, it goes from -1 to 1, for representation it is scaled to -100 to 0 (so -50 is zero line). The correlation line is coloured from the calculated p-value, based on significance confidence level of 0.05 (5%). If the correlation line turns “green” is shows significant positive correlation of PHV to price. If it turns “red” significant negative correlation is determined.

 

Example Strategies:

• PHV rising (percentile of historical volatility increasing) AND significant positive correlation = possible larger movement in price action to the upside expected (LONG)

• PHV rising (percentile of historical volatility increasing) AND significant negative correlation = possible larger movement in price action to the downside expected (SHORT)

• PHV falling (percentile of historical volatility decreasing) AND negative correlation = price will likely move slowly up (LONG)

• PHV falling (percentile of historical volatility decreasing) AND positive correlation = price will likely move slowly down (SHORT)

 

The Input Settings:

Sample Size Historical Volatility: Default 10, length of periods back to calculated historical volatility.

Sample Size Percentile: Default 100 (Recommendation use power of Sample Size Historical Volatility), length of periods back to calculated percentile of historical volatility.

Sample Size Correlation: Default 10, length of periods back to calculated correlation of PHV and Price

 

 

Remark: Indicator is provided for statistical analysis and showing probabilities only and should not be construed as financial advice.


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BigPlayerRange – Il miglior indicatore per MT5 BigPlayerRange è considerato il miglior indicatore per Mini Indice e Mini Dollaro su MetaTrader 5. Questo strumento essenziale evidenzia le zone strategiche di azione dei grandi player, offrendo un’analisi tecnica istituzionale di altissima precisione. Come usare BigPlayerRange: Questo indicatore mostra zone di acquisto (linea verde) e di vendita (linea rossa). Quando il prezzo chiude fuori da queste aree, è probabile un movimento di tendenz
AriX
Temirlan Kdyrkhan
1 (4)
AriX Indicator for MT5 A powerful trend-following and signal-evaluation tool AriX is a custom MT5 indicator that combines Moving Averages and ATR-based risk/reward logic to generate clear buy/sell signals. It visualizes dynamic SL/TP levels, evaluates past trade outcomes, and displays win/loss statistics in a clean on-chart panel. Key features include: Buy/Sell signals based on MA crossovers ATR-based SL/TP1/TP2/TP3 levels with visual lines and labels Signal outcome tracking with real-time stat
Rtc ML Ai Predictor
Muhammad Faisal Sagala
Rtc ML Ai | Predictor CORE MACHINE LEARNING ENGINE Adaptive ML Market Predictor – Multi-Bar Trend & Candle Forecast What This Indicator Does This indicator is a  real-time market prediction engine  designed to analyze price behavior and estimate  future market tendencies . Unlike conventional indicators, this system  does not rely on static parameters or historical curve-fitting , but adapts its internal state dynamically during live market operation. Instead of using static rules, the indic
Ultimate Boom and Crash Indicator The Ultimate Boom and Crash Indicator is a cutting-edge tool developed by  Coetsee Digital , designed to identify potential spike opportunities in the market. Crafted for traders focusing on Deriv and Weltrade synthetic markets, this indicator is optimized to operate exclusively on the 3-minute (M3), 5-minute (M5), 15-minute (M15), 30-minute (M30), and 1-hour (H1) timeframes and supports only the following pairs: PainX 1200, PainX 999, PainX 800, PainX 600, Pai
Altri dall’autore
Drift
Florian Nuebling
This Oscillator describes the drift of an asset, as part of the geometric Brownian Motion (GBM). As a data basis the mean reverting log returns of the asset price is considered. It gives the percentile of drift directional. For instance, a value of 0.05 means a drift of 5%, based on the selected sample size. If the value is positive, drift to higher asset values is determined.  This indicator should be used in confluence with other indicators based on volatility, probability and statistics. Li
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The indicator ‘Probability Range Bands’ gives a prediction of the amount, how much the asset is moving from its current price. The range bands give probabilities, that the candle close will not exceed this certain price level. It is also called the expected move for the current candle close.   This Indicator is based on statistical methods, probabilities and volatility. Asset price is assumed to follow a log-normal distribution. Therefore, log returns are used in this indicator to determine the
This z-score indicator shows the correct z-score of an asset, as it uses the normalized price data for calculation, which is the only correct way. Z-score is only applicable for normal distributed data, therefore not the actual price is considered, but the normalised returns, which were assumed to follow a normal distribution. Returns are mean reverting and assumed to follow a normal distribution, therefore z-score calculation of returns is more reliable than z-score on price, as price is NOT m
The RSI2.0 indicator uses normalized price data and signal processing steps to get a normal distributed oscillator with no skew (mean is zero). Therefore, it can give much better reads than the traditional RSI.   Areas/Levels of reversal: Overbought or oversold levels from traditional RSI have no statistical significance, therefore the standard deviation bands are implemented here, which can be used in similar way as possible reversal points.   Divergence: As the indicator is nearly normal dist
The Returns Momentum Oscillator (RMO) shows the difference of exponentially weighted volatility. It is used to find market tops and bottoms. Volatility comes in waves, and as the Returns often front run price action it gives directional prediction of market movement.   The Oscillator signal is RMSed (root mean squared) to make the distribution closer to Gaussian distribution. While the traditional RSI indicators are often stuck in overbought or oversold areas for a long time, RMSing of the sign
Bollinger Bands based on Returns   This indicator characterizes the price and volatility by providing a channel/band of standard deviations like the Bollinger Bands. In contrary to standard Bollinger Bands which uses price directly, this indicator uses returns due to normalization.   The standard Bollinger Bands based on price directly, were one of the first quant or statistical methods for retail traders available. The issue with these bands, standard deviations can only be calculated, if the u
Cosine-Self-Similarity: Identify Trends & Reversals What is Cosine Similarity? Cosine similarity measures how alike two sequences are by looking at the angle between them. A value of +1 means they move perfectly together, -1 means they move perfectly opposite, and 0 means there's no directional relationship. This indicator applies this concept to price returns. Is the market trending strongly, or is it choppy and reversing? Gain insight with the Cosine-Self-Similarity indicator! This powerfu
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