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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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Golden Spikes Detector This indicator is based on an advanced strategy primarily for trading spikes on Boom and Crash Indices. Complex algorithms were implemented to detect high probability entries only. It alerts on potential Buy and Sell entries. To trade spikes on the Deriv or Binary broker, only take Buy Boom and Sell Cash alerts. It was optimised to be loaded on 5-minute timeframe although multiple timeframe analysis is done in the background. Features ·             Desktop pop up and sound
The Price Action Finder Multi indicator is an indicator of entry points that searches for and displays Price Action system patterns on dozens of trading instruments and on all standard time frames: (m1, m5, m15, m30, H1, H4, D1, Wk, Mn). The indicator places the found patterns in a table at the bottom of the screen. By clicking on the pattern names in the table, you can move to the chart where this pattern is located. Manual (Be sure to read before purchasing) | Version for MT4 Advantages 1. Pa
"Piranha" - an autonomous trading system that determines overbought and oversold levels on the chart. Red and blue zones represent overbought and oversold levels respectively. Entry points are marked with arrows: a downward arrow in the red zone for "sell" and an upward arrow in the blue zone for "buy". The Take profit level is indicated by the green moving average. Key features: Adjusting the Take profit level as the green moving average changes position. Averaging ability when a new market e
MetaForecast M5
Vahidreza Heidar Gholami
5 (2)
MetaForecast predice e visualizza il futuro di qualsiasi mercato basandosi sull'armonia dei dati dei prezzi. Sebbene il mercato non sia sempre prevedibile, se esiste un modello nei prezzi, MetaForecast può prevedere il futuro con la massima precisione possibile. Rispetto ad altri prodotti simili, MetaForecast può generare risultati più accurati analizzando le tendenze di mercato. Parametri di input Past size (Dimensione passata) Specifica il numero di barre che MetaForecast utilizza per creare
Altri dall’autore
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
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. L
FREE
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
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