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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Çoğu ok göstergesi size yalnızca bir sinyal verir ve geri kalan her şeyi sizin çözmenizi bekler. KT Alpha Hunter Arrows ise size tam bir işlem planı sunar. Her sinyal oku, hazır çizilmiş tam bir planla birlikte görünür: giriş çizgisi, stop loss, dört take profit seviyesi ve bu sembol ile zaman diliminin o anda işlem yapmaya değer olup olmadığını gösteren canlı edge değerlendirmesi. Dahil edilen Trade Manager EA, siz işleme girdikten sonra yönetimi üstlenir. Böylece piyasa gürültülü ve stresli ha
ARICoins
Temirlan Kdyrkhan
ARICoin is a powerful trading companion designed to generate high-probability entry signals with dynamic TP/SL/DP levels based on volatility. Built-in performance tracking shows win/loss stats, PP1/PP2 hits, and success rates all updated live. Key Features: Buy/Sell signals with adaptive volatility bands Real-time TP/SL/DP levels based on ATR Built-in MA Filter with optional ATR/StdDev volatility Performance stats panel (Success, Profit/Loss, PP1/PP2) Alerts via popup, sound, push, or email Cust
Bu indikatörü temel alan EA'ya (Uzman Danışman) ücretsiz bir bonus olarak sahip olmak için satın aldıktan sonra benimle iletişime geçin. ChandraSAR Optimizer: Kendi Kendine Uyarlanan Kantitatif Trend Motoru Çoğu trend indikatörünün başarısız olmasının basit bir nedeni vardır: piyasalar değişir, ancak statik parametreler değişmez. ChandraSAR Optimizer , basit sinyal üretimi ile gelişmiş algoritmik testler arasındaki boşluğu doldurur. Son derece verimli, dizi (array) tabanlı bir İleri Yönlü (Walk
OmniSync Projection
Antonio-alin Teculescu
5 (1)
Chronos Fractal Engine is an innovative price projection indicator for MetaTrader 5, designed to transform your technical analysis by intelligently identifying and projecting historical price patterns. Built upon an advanced correlation algorithm and the fractal principles of the market, this powerful tool visualizes potential future price movements, giving you a unique edge in your trading decisions. What is Chronos Fractal Engine? At its core, the Chronos Fractal Engine employs a sophisticat
Presenting one-of-a-kind Gann Indicator for XAUUSD IQ Gold Gann Levels is a non-repainting, precision tool designed exclusively for XAUUSD/Gold intraday trading. It uses W.D. Gann’s square root method to plot real-time support and resistance levels, helping traders spot high-probability entries with confidence and clarity. William Delbert Gann (W.D. Gann) was an exceptional market analyst whose trading technique was based on a complex blend of mathematics, geometry, astrology, and ancient calcul
The principle of this indicator is very simple: detecting the trend with Moving Average, then monitoring the return point of graph by using the crossing of Stochastic Oscillator and finally predicting BUY and SELL signal with arrows, alerts and notifications. The parameters are fixed and automatically calculated on each time frame. Example: If you install indicator on EURUSD, timeframe M5: the indicator will detect the main trend with the Moving Average on this timeframe (for example the Moving
" Dynamic Scalper System MT5 " göstergesi, trend dalgaları içinde işlem yapmak için scalping yöntemi için tasarlanmıştır. Başlıca döviz çiftleri ve altın üzerinde test edilmiştir, diğer işlem araçlarıyla uyumluluğu mümkündür. Ek fiyat hareketi desteğiyle trend boyunca pozisyonların kısa vadeli açılması için sinyaller sağlar. Göstergenin prensibi. Büyük oklar trend yönünü belirler. Küçük oklar şeklinde scalping için sinyaller üreten bir algoritma trend dalgaları içinde çalışır. Kırmızı oklar yü
【SPECIAL INTRODUCTORY PRICE】 Release Celebration Sale! We are currently offering Quasar Edge at a special early-bird price to celebrate its official launch. This offer is limited to a specific number of copies or a limited timeframe, after which the price will increase to the standard retail value. Don't miss this opportunity to acquire a professional-grade trading environment at its lowest price. Quasar Edge & Dual Dashboard — Transform Market Chaos into Trading Confidence: The Ultimate M
Premium seviye, %80'den fazla doğru tahmin doğruluğuna sahip benzersiz bir göstergedir! Bu gösterge en iyi Ticaret Uzmanları tarafından iki aydan uzun süredir test edilmiştir! Yazarın göstergesini başka hiçbir yerde bulamazsınız! Ekran görüntülerinden bu aracın doğruluğunu kendiniz görebilirsiniz! 1, sona erme süresi 1 mum olan ikili opsiyon ticareti için harikadır. 2 tüm döviz çiftleri, hisse senetleri, emtialar, kripto para birimleri üzerinde çalışır Talimatlar: Kırmızı ok göründüğü an
Yazarın diğer ürünleri
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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