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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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40% RABATT ZU WEIHNACHTEN! PREISERHÖHUNG AUF $250 AM 1. JANUAR! Vorstellung von GoldenGate Entries: Eine hochmoderne Handelslösung! Entdecken Sie einen revolutionären Ansatz zum Handel mit GoldenGate Entries (GGE), einem fortschrittlichen Indikator, der entwickelt wurde, um Ihr Handelserlebnis zu verbessern. GGE bietet eine umfassende Palette von Funktionen, um Benutzer mit Präzision und Vertrauen in ihren Handelsentscheidungen auszustatten. Paare: Beliebig (FX - Rohstoffe - Aktien - Akti
Welcome to the world of SMC (Smart Money Concepts) Trading, where we empower traders with the tools and knowledge to make smarter trading decisions. Our latest addition to our suite of trading tools is the SMC Trading Pro indicator, version 1.0. Key Features: Major Market Structure Identification with BODY break. Order Block must be in Major Swing ( not Small Swing ). Order Block with Fair Value Gap Detection. Order Block in Discount | Premium zone. Filter for only Bullish, Bearish or All Order
Good day! I present to you a trading technical indicator for Deriv broker synthetic indices. This indicator ONLY works with the following indices: Boom 300 Index Boom 500 Index Boom 1000 Index Crash 300 Index Crash 500 Index Crash 1000 Index The indicator was created to give signals to open medium-term trades in the direction of Spikes. But you can open trades in the opposite direction to Spikes, at your own risk. Trade only on M1. Other TFs do not guarantee the correct operation of the indic
Automatisierte Angebots- und Nachfragezonen der nächsten Generation. Neuer und innovativer Algorithmus, der bei jedem Diagramm funktioniert. Alle Zonen werden dynamisch entsprechend der Preisbewegung des Marktes erstellt. ZWEI ARTEN VON WARNUNGEN --> 1) WENN DER PREIS EINE ZONE ERREICHT 2) WENN EINE NEUE ZONE BILDET WIRD Sie erhalten keinen weiteren nutzlosen Indikator. Sie erhalten eine vollständige Handelsstrategie mit nachgewiesenen Ergebnissen.     Neue Eigenschaften:    
FxaccurateLS
Shiv Raj Kumawat
WHY IS OUR FXACCCURATE LS MT5 THE PROFITABLE ? PROTECT YOUR CAPITAL WITH RISK MANAGEMENT Gives entry, stop and target levels from time to time. It finds Trading opportunities by analyzing what the price is doing during established trends. POWERFUL INDICATOR FOR A RELIABLE STRATEGIES We have made these indicators with a lot of years of hard work. It is made at a very advanced level. Established trends provide dozens of trading opportunities, but most trend indicators completely ignore them!
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“Percentile of Historical Volatility” und “Correlation Coefficient” zeigt an, ob der Kurs zur Zeit billig oder teuer bzgl. ihrer normalen Volatilität ist. Benutzt wird der Indikator, um einen guten Einstieg zu finden. “Percentile of Historical Volatility” ordnet die Historische Volatilität prozentual. Der zweite Indikator korreliert den nicht direktionalen PHV mit dem Anlagenkurs, um eine Indikation über die Richtung der bevorstehenden Bewegung zu bekommen.   Historische Volatilität (historical
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
Der Indikator „Probability Range Bands“ zeigt eine Vorhersage, um wieviel sich ein Kurs bzgl. seines bisherigen Wertes bewegen wird. Die Bänder grenzen einen Bereich mit einer bestimmten Wahrscheinlichkeit ein, dass die aktuelle Kerze nicht über/unter dem bestimmten Preislevel schließt.   Dieser Indikator basiert auf statistischen Methoden, Wahrscheinlichkeiten und Volatilität. Der Anlagenkurs wird als log-normal-verteilt angenommen. Deshalb werden zur Berechnung der Bereichsbänder die „log retu
Dieser Z-Score Indikator zeigt den korrekten Z-Score eines Assets, da es die normierten (normal-verteilten) Preisdaten benutzt. Das ist der einzige Weg den Z-Score richtig zu berechnen. Der Z-Score darf nur basierend auf normal-verteilten Daten berechnet werden, deshalb wird für die Berechnung die normierten Returns benutzt, als normalverteilt angenommen werden. Die Berechnung des Z-Scores basierend nur auf dem Preis selbst ist nicht zulässig, da der Preis einer eher log-normal Verteilung folgt.
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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