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Returns Momentum Oscillator RMO

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 signal gets rid of this. To support this behaviour a high pass filter is applied to filter out higher periods, which should not be considered.

The mean of the indicator signal is the zero line, because it is zero meaned. This avoids skewness of the underlaying indicator distribution.

 

After the signal processing steps, the indicator value is smoothed with an advanced technic, which smooths the signal with minimal lag.

 

A standard deviation band is applied to show significance levels of the indicator, which often act as reversal point. It is like the overbought and oversold levels of RSI indicator, but with statistical significance.

 

As the indicator is nearly normal distributed, due to the signal processing, it can also be used as divergence indicator.

 

 

The Input Settings:

Sample Size: Default 7, length of periods back to calculated Volatility

Smoothing Sample Size: default 8, length of periods back to smooth signal with minimal lag

Multiplier: default 2.00 Standard Deviations, Multiplier in terms of standard deviation, to show outliers/possible reversals (line colour change)

Sample Size Bands: Default 30, length of periods back to calculated SD-Bands of RMO to find outliers

High-pass Filter Sample Size: default 50, sample size of high-pass filter to reduce low-frequency noise of the signal

 

 

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

 

 

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SMCpro MT5  Original Price  $440   ---  Currently Price  40% OFF  ( for unlimited use ) Hello World! Introducing.. SMCpro tool and Indicator for  MetaTrader 5 , a cutting-edge feature designed to revolutionize your trading experience. With innovative ICT Smart Money Concept, you gain unparalleled insight into market dynamics, empowering you to make informed trading decisions like never before. Built on the foundation of advanced algorithms and real-time data analysis, SMCpro tool and Indicat
Weis Wave with Alert MT5
Trade The Volume Waves Single Member P.C.
4.93 (15)
Rental/Lifetime Package Options and Privileges  * For optimum results the yearly or lifetime package is suggested due to live training ! Rent Monthly Six Months   Yearly/Lifetime Weis Wave with Speed with Alert+Speed Index x x x Manual  x x x Quick Set up Video x x x Blog x x x Lifetime Updates x x x Setup and Training Material x x Free Rectangle Break Alert Tool      x Discord Access Channel "The SI traders" x 2-hour live methodology training x How to trade with it:    http://
This indicator examines the price structure of fractals of different periods to determine possible reversal points in the market, providing timing to positional traders that already have a fundamental or technical valuation model. Unlike its younger brother, Reversal Fractals , this indicator won't miss reversals because of the period selected, and will find reversal fractals on a zig-zag fashion, ignoring those reversals which do not carry enough momentum to start a sustained price movement. [
Malaysian SNR Levels
Matthias Horst Pieroth
This indicator can be used to display Support and Resistance levels according to  the  Malaysian SNR concept , in which Support and Resistance are exact levels of a line chart. Malaysian SNR There are 3 different horizontal levels in Malaysian SNR: A-Level : This level is located at the peak of this line chart. (shape looks like the letter A) V-Level : Level at the valley of a line chart, (shape looks like the letter V) Gap-Leve l: This level is located at the Close/Open gap between two cand
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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
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
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
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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