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Probability Range Bands

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 distribution, assuming they follow a normal distribution. Other than traditional technical analysis (TA) like Support and resistance or triangles which have no statistical significance, this indicator uses levels of the underlaying distribution of log returns, which gives probability of not exceeding a certain price level.

 

The Input Settings:

Sample Size: Default 30, length of periods back to calculated the distribution of log returns

1st/2nd/3rd Multiplier: Multiplier of distribution levels. Per Default 1.00, 2.00, 3.00 represent the standard deviation levels, based on the distribution of returns. à “1st SD multipl.” == 1.00, means “1st band” represents the first standard-deviation to the up and downside.

 

How to use:

Per Default the bands for 1st, 2nd and 3rd standard deviations are plotted. That means there is a probability of 68.3% that the candle will close within the bands of upper and lower 1st standard deviation band, with the given input parameters. And a probability of 95.4% that the candle close will stay within the 2nd upper/lower band, and 99.7% that it will close within the 3rd upper/lower band. That means, there is only 0.3% chance, that the candle will close outside of the 3rd std-dev. Bands.

Summary of Default settings (1.00/2.00/3.00):

• probability of 68.3% that the candle close will stay inside of 1st SD bands

• probability of 95.4% that the candle close will stay inside of 2nd SD bands

• probability of 99.7% that the candle close will stay inside of 3rd SD bands

 

 

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


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L'indicatore mostra la direzione del trend da più timeframe in un'unica finestra. Se il trend di diversi timeframe coincide, vengono disegnate delle frecce. È anche possibile passare all'istogramma, che indica il trend sul timeframe corrente. L'indicatore disegna sul grafico i punti di entrata e i punti di uscita approssimativi. Attenzione: poiché l'indicatore è multi-timeframe, quando lo si utilizza nel tester della strategia è necessario scaricare in anticipo le quotazioni per tutti i timefr
AriBot
Arman Belassarov
AriMax   – AI-Powered Trading Robot AriMax is a cutting-edge AI-powered trading robot designed to help traders maximize profits while minimizing risk. Utilizing advanced machine learning algorithms and real-time market analysis, AriMax identifies high-probability trade opportunities with precision and speed. Key Features:     AI-Driven Market Analysis   – Analyzes market trends and patterns to make data-driven trading decisions.     Automated Execution   – Places trades seamlessly with optimiz
Wave Anatomy MT5
Trade The Volume Waves Single Member P.C.
Wave Anatomy Visit:  http://www.trafethevolumewaves.com  for more information Construct your own 5 Waves and analyze the price movements stages: Easy Movement Hard time to move Fast move This indicator is based on Wyckoff’s, David’s Weis and my Speed Index Theory. This indicator will you help analyze what is happening in 5 Price Waves that you can construct yourself. This tool is designed for scalpers and swing traders and will help them to analyze any wave on any timeframe at the same time. Fur
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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 retu
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
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 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
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