Percentile of Historical Volatility Correlation

  • Indicatori
  • Florian Nuebling
    Florian Nuebling
    indicators based on statistical methods, probabilities and volatility. As price follows a random walk and assumed to follow a log-normal distributed, the provided concepts are based on log returns for normalization. Returns are mean reverting and can be approximated as normal distributed. The
  • Versione: 1.0
  • Attivazioni: 5

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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Precision Spike Detector V3 – Institutional-Grade AI Trading System Attention: The price increases by US$50 for every 10 purchases.  Final price: US$599 Precision Spike Detector V3   is a   state-of-the-art, institutional-grade market analysis system   for   MetaTrader 5 , designed to detect   high-probability market movements   in synthetic indices such as   Boom, Crash, GainX, and PainX . After purchase, please contact me through the MQL5 messaging system to receive the order management tool
Meravith MT5
Ivan Stefanov
5 (1)
Strumento per market maker. Meravith: Analizzerà tutti i timeframe e mostrerà il trend attualmente in corso. Evidenzierà le zone di liquidità (equilibrio dei volumi) dove i volumi rialzisti e ribassisti sono uguali. Mostrerà tutti i livelli di liquidità dei diversi timeframe direttamente sul grafico. Genererà e presenterà un’analisi di mercato testuale a scopo di riferimento. Calcolerà obiettivi, livelli di supporto e punti di stop-loss in base al trend attuale. Calcolerà il rapporto rischio/ren
What Is It? This PVSRA Screener is for real-time market analysis. so instead of manually checking charts one by one, you get a live command center that tells you the market phase, volume intent, trend state, and nearest price structure all in one glance. Features at a Glance Multi-pair, multi-timeframe scanner dashboard... monitors everything at once PVA (Price Volume Analysis)... detects Climax and Rising volume candles in real time The Dragon EMA... configurable trend anchor (default 50 EMA of
Berma Bands
Muhammad Elbermawi
5 (9)
L'indicatore Berma Bands (BBs) è uno strumento prezioso per i trader che cercano di identificare e capitalizzare i trend di mercato. Analizzando la relazione tra il prezzo e le BBs, i trader possono discernere se un mercato è in una fase di trend o di range. Visita il [ Berma Home Blog ] per saperne di più. Le Berma Bands sono composte da tre linee distinte: la Upper Berma Band, la Middle Berma Band e la Lower Berma Band. Queste linee sono tracciate attorno al prezzo, creando una rappresentazion
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Probability Range Bands
Florian Nuebling
5 (1)
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
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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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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