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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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Stefano Frisetti
note: this indicator is for METATRADER4, if you want the version for METATRADER5 this is the link:  https://www.mql5.com/it/market/product/108106 TRENDMAESTRO recognizes a new TREND in the bud, he never makes mistakes. The certainty of identifying a new TREND is priceless. DESCRIPTION TRENDMAESTRO identifies a new TREND in the bud, this indicator examines the volatility, volumes and momentum to identify the moment in which there is an explosion of one or more of these data and therefore the mome
TPA True Price Action indicator reveals the true price action of the market makers through 100% non-repainting signals strictly at the close of a candle! TPA shows entries and re-entries, every time the bulls are definitely stronger than the bears and vice versa. Not to confuse with red/green candles. The shift of power gets confirmed at the earliest stage and is ONE exit strategy of several. There are available now two free parts of the TPA User Guide for our customers. The first "The Basics"
Eng Gold
Ely Alkrar Xshkaky
ENG-GOLD Scalper It is an auxiliary indicator that identifies potential targets and determines the place of entry with a stop loss that works on Heiken Ashi candles  The green lines are usually the targets, the red lines are the stop loss, and the yellow lines are the entry location.  This file is recognized on small and medium frames, usually less than the watch frame I highly recommend using XAUUSD US100 US30 USOIL 
Golden Spikes Detector
Batsirayi L Marango
5 (1)
Golden Spikes Detector Este indicador é baseado em uma estratégia avançada principalmente para picos de negociação nos índices Boom e Crash. Algoritmos complexos foram implementados para detectar apenas entradas de alta probabilidade. Ele alerta sobre possíveis entradas de compra e venda. Para negociar picos na corretora Deriv ou Binária, receba apenas os alertas Buy Boom e Sell Cash. Ele foi otimizado para ser carregado em um período de 5 minutos, embora a análise de vários períodos de tempo se
O Indicador de Quadrados de Gann é uma poderosa ferramenta de análise de mercado baseada no artigo "Fórmula Matemática para Previsões de Mercado" escrito por W.D. Gann, que se baseia em conceitos matemáticos para análise. Ele incorpora elementos das técnicas de Gann relacionadas com os quadrados de 144, 90 e 52, bem como o quadrado de 9. Além disso, inclui o método do  sobre como combinar o quadrado de 9 com canais e padrões de estrela. Manual do Usuário e Modo de Uso: Antes de usar este indicad
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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
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
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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
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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