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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LINHAS DE TENDÊNCIA PRO   -   Ajuda a entender onde o mercado está realmente mudando de direção. O indicador mostra inversões de tendência reais e pontos onde os principais participantes retornam ao mercado. Você vê     Linhas BOS   Análise de tendências e níveis-chave em prazos maiores — sem configurações complexas ou ruídos desnecessários. Os sinais não são repintados e permanecem no gráfico após o fechamento da barra. VERSÃO MT4   -   Revela seu potencial máximo quando combinado com o   indic
Easy SMC Trading
Israr Hussain Shah
4 (1)
Análise de Tendência Estrutural com Auto RR e Scanner de BOS Versão: 1.0 Visão Geral A Análise de Tendência Estrutural com Auto RR é um sistema de negociação abrangente, concebido para traders que dependem da Ação do Preço e da Estrutura de Mercado. Combina um filtro de tendência suavizado com a deteção de Pontos de Oscilação e sinais de Ruptura de Estrutura (BOS) para gerar configurações de negociação de alta probabilidade. O principal diferencial desta ferramenta é a sua Gestão de Risco Aut
Antes de tudo, vale ressaltar que esta Ferramenta de Negociação é um Indicador Não Repintante, Não Redesenhante e Não Atrasado, o que a torna ideal para negociação profissional. Curso online, manual do utilizador e demonstração. O Indicador de Conceitos de Ação de Preço Inteligente é uma ferramenta muito poderosa tanto para traders novos quanto experientes. Ele combina mais de 20 indicadores úteis em um único, combinando ideias avançadas de negociação como Análise do Trader do Círculo Interno
Order Block Pro (MQL5) – Versão 1.0 Autor: KOUAME N'DA LEMISSA Plataforma: MetaTrader 5 Descrição: Order Block Pro é um indicador avançado projetado para detectar automaticamente Blocos de Ordem de alta e baixa no seu gráfico. Ao analisar velas de consolidação seguidas de velas de impulso fortes, o indicador identifica áreas-chave onde o preço provavelmente se acelerará. Ideal para traders que desejam: Identificar pontos de entrada e saída precisos. Detectar zonas dinâmicas de suporte e resistê
PZ Swing Trading MT5
PZ TRADING SLU
5 (5)
Swing Trading é o primeiro indicador projetado para detectar oscilações na direção da tendência e possíveis oscilações de reversão. Ele usa a abordagem de negociação de linha de base, amplamente descrita na literatura de negociação. O indicador estuda vários vetores de preço e tempo para rastrear a direção da tendência agregada e detecta situações nas quais o mercado está sobrevendido ou sobrecomprado em excesso e pronto para corrigir. [ Guia de instalação | Guia de atualização | Solução de prob
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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
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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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