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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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MetaForecast, fiyat verilerindeki harmonileri kullanarak herhangi bir piyasanın geleceğini tahmin eder ve görselleştirir. Piyasa her zaman tahmin edilemezken, fiyatlarda bir desen varsa, MetaForecast geleceği mümkün olduğunca doğru bir şekilde tahmin edebilir. Benzer ürünlere göre, MetaForecast piyasa eğilimlerini analiz ederek daha kesin sonuçlar üretebilir. Giriş Parametreleri Past size (Geçmiş boyut) MetaForecast'ın gelecekteki tahminler oluşturmak için kullandığı çubuk sayısını belirtir. Mo
Fxaccurate Trend Trading is a method that focuses on identifying and capitalizing on market trends in the foreign exchange (Forex) market. This strategy is grounded in the principle that once a trend is established, it tends to persist, allowing traders to enter positions that align with the market's prevailing direction. Fxaccurate Trend Trading relies on various tools, indicators, and methodologies to spot, confirm, and trade in the direction of a trend, whether it’s upward (bullish) or downwa
Protect against whipsaws: revolutionize your swing trading approach Special Offer: Purchase now to receive free bonuses worth $135! (Read more for details) Swing Trading is the first indicator designed to detect swings in the direction of the trend and possible reversal swings. It uses the baseline swing trading approach, widely described in trading literature. The indicator studies several price and time vectors to track the aggregate trend direction and detects situations in which the market i
Gösterge, tek bir pencerede birden fazla zaman dilimindeki trend yönünü gösterir. Birkaç zaman diliminden gelen eğilim çakışırsa, oklar çizilir. Ayrıca, geçerli zaman dilimindeki eğilimi gösteren histograma da geçebilirsiniz. Gösterge, grafik üzerinde giriş noktaları ve yaklaşık çıkış noktaları çizer. Uyarı: Gösterge çoklu zaman dilimi olduğundan, strateji test cihazında kullanılırken, gerekli tüm zaman dilimleri için teklifler önceden indirilmelidir. Test cihazında kotasyonların uzun süre ind
AriBot
Arman Belassarov
AriMax   – AI-Powered Trading Robot AriMax is a cutting-edge AI-powered trading robot designed to help traders maximize profits while minimizing risk. Utilizing advanced machine learning algorithms and real-time market analysis, AriMax identifies high-probability trade opportunities with precision and speed. Key Features:     AI-Driven Market Analysis   – Analyzes market trends and patterns to make data-driven trading decisions.     Automated Execution   – Places trades seamlessly with optimiz
Wave Anatomy MT5
Trade The Volume Waves Single Member P.C.
Wave Anatomy Visit:  http://www.trafethevolumewaves.com  for more information Construct your own 5 Waves and analyze the price movements stages: Easy Movement Hard time to move Fast move This indicator is based on Wyckoff’s, David’s Weis and my Speed Index Theory. This indicator will you help analyze what is happening in 5 Price Waves that you can construct yourself. This tool is designed for scalpers and swing traders and will help them to analyze any wave on any timeframe at the same time. Fur
Volume by Price MT5
Brian Collard
3.25 (4)
The Volume by Price Indicator for MetaTrader 5 features Volume Profile, Footprint and Market Profile TPO (Time Price Opportunity). Volume and TPO histogram bar and line charts. Volume Footprint charts. TPO letter and block marker collapsed and split structure charts. Static, dynamic and flexible range segmentation and compositing methods with relative and absolute visualizations. Session hours filtering and segment concatenation with Market Watch and custom user specifications. Graphical layeri
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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
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
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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