Returns Momentum Oscillator RMO

  • Indicateurs
  • Florian Nuebling
    Florian Nuebling
    indicators based on statistical methods, probabilities and volatility. As price follows a random walk and assumed to follow a log-normal distributed, the provided concepts are based on log returns for normalization. Returns are mean reverting and can be approximated as normal distributed. The
  • Version: 1.0
  • Activations: 5

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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KURAMA GOLD SIGNAL PRO (MT5) — Filtre à 7 couches · TP/SL automatique · Score de qualité · Sauvegarde de l'historique des signaux | Système de trading complet pour le XAUUSD Pas de repeint en temps réel. À l'instant où un signal apparaît, la flèche, l'entrée, le TP et le SL sont verrouillés sur place et ne bougent plus jamais ensuite. Ce que vous tradez, c'est ce signal en temps réel. Et dans la v7.20, chaque signal réellement envoyé est sauvegardé automatiquement et restauré à l'identique aprè
The Ultimate Ichimoku MTF Dashboard: Your All-In-One Trading Edge Transform Your Trading with One Powerful Indicator Imagine having a professional trading assistant that monitors multiple timeframes simultaneously, identifies high-probability entries, warns you of potential reversals, and provides clear risk management guidance-all in one clean, intuitive display. That's exactly what the Ichimoku MTF Dashboard delivers.     Why This Isn't Just Another In
Stargogs Spike Catcher
Lorenzo Edward Beukes
4.56 (9)
Stargogs Spike Catcher V4.0 This Indicator is Developed To milk the BOOM and CRASH indices . Now Also work on weltrade for PAIN and GAIN indices. Send me Message if you need any help with the indicator.  CHECK OUT THE STARGOGS SPIKE CATCHER EA/ROBOT V3: CLICK HERE ALSO CHECK OUT SECOND TO NONEFX SPIKE CATCHER:   CLICK HERE STARGOGS SPIKE CATCHER V4.0 WHATS NEW! Brand New Strategy. This is the Indicator you need for 2025. New Trend Filter to minimize losses and maximize profits. New Trendline th
Liquidity HeatMap Profile
Israr Hussain Shah
5 (1)
Here   our more valuable tools SMC Trend Trading   ,  Easy SMC Trading  ,  Institutional SMC Architect Volume Analysis Tools  ,  Volume flow Profile  ,  Market volume profile  , FVG with Volume  , Liquidity Heatmap Profile  ,  Volume Spread Analysis 2. Key Features Dynamic Filtering : The core feature. As soon as the current price crosses a historical liquidity level, that level disappears. This reduces chart clutter and prevents you from trading off "dead" support/resistance. Liquidity Heatma
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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. Li
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Probability Range Bands
Florian Nuebling
5 (1)
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
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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