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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L'indicatore Berma Bands (BBs) è uno strumento prezioso per i trader che cercano di identificare e capitalizzare i trend di mercato. Analizzando la relazione tra il prezzo e le BBs, i trader possono discernere se un mercato è in una fase di trend o di range. Visita il [ Berma Home Blog ] per saperne di più. Le Berma Bands sono composte da tre linee distinte: la Upper Berma Band, la Middle Berma Band e la Lower Berma Band. Queste linee sono tracciate attorno al prezzo, creando una rappresentazion
Trend Forecaster
Alexey Minkov
5 (7)
The Trend Forecaster indicator utilizes a unique proprietary algorithm to determine entry points for a breakout trading strategy. The indicator identifies price clusters, analyzes price movement near levels, and provides a signal when the price breaks through a level. The Trend Forecaster indicator is suitable for all financial assets, including currencies (Forex), metals, stocks, indices, and cryptocurrencies. You can also adjust the indicator to work on any time frames, although it is recommen
ARICoins
Temirlan Kdyrkhan
ARICoin is a powerful trading companion designed to generate high-probability entry signals with dynamic TP/SL/DP levels based on volatility. Built-in performance tracking shows win/loss stats, PP1/PP2 hits, and success rates all updated live. Key Features: Buy/Sell signals with adaptive volatility bands Real-time TP/SL/DP levels based on ATR Built-in MA Filter with optional ATR/StdDev volatility Performance stats panel (Success, Profit/Loss, PP1/PP2) Alerts via popup, sound, push, or email Cust
Shock Pullback
Suleiman Alhawamdah
5 (1)
Semplicemente, puoi iniziare a fare trading quando il movimento dei numeri bianchi — noti come "pips" — inizia ad apparire accanto alla candela corrente. I "pips" bianchi indicano che un'operazione di acquisto o vendita è attualmente attiva e si sta muovendo nella direzione corretta, come indicato dal colore bianco. Quando il movimento dei pips bianchi si interrompe e diventa di colore verde statico, questo segnala la fine della spinta attuale. Il colore verde dei numeri rappresenta il profitto
AriX
Temirlan Kdyrkhan
AriX Indicator for MT5 A powerful trend-following and signal-evaluation tool AriX is a custom MT5 indicator that combines Moving Averages and ATR-based risk/reward logic to generate clear buy/sell signals. It visualizes dynamic SL/TP levels, evaluates past trade outcomes, and displays win/loss statistics in a clean on-chart panel. Key features include: Buy/Sell signals based on MA crossovers ATR-based SL/TP1/TP2/TP3 levels with visual lines and labels Signal outcome tracking with real-time stat
Weis Wave with Alert MT5
Trade The Volume Waves Single Member P.C.
4.94 (17)
Rental/Lifetime Package Options and Privileges  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 Discord Access Channel "The SI traders"          x Rectangle Break Alert Tool      x How to trade with it:    http://www.tradethevolumewaves.com   ** If you purchase please contact me to setup your  : Training Room and  complete manual access.  Wei
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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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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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