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Z Score Standardized Normal Distribution

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.


Der z-score zeigt die Standardabweichungen zum Mittelwert an. Der z-score von 0 entspricht also genau dem Mittelwert. Während ein z-score von 1.0 einen Abstand von einer Standardabweichung zum Mittelwert angibt. Deshalb ist es wichtig, dass die zugrundeliegende Datenpunkte normalverteilt sind.


Der Indikator ist in den Standardeinstellungen als dickere blaue Linie dargestellt. Ein Farbwechsel zeigt Ausreißer (außerhalb der 2. Standardabweichung) an. Der Wechsel nach „pink“ gilt als Vorwarnung einer Trendumkehr zu niedrigeren Kurswerten (short Signal). Der Wechsel zu „türkis“ gibt eine Vorwarnung zu einem möglichen Trendwechsel zu höheren Kurswerten an.

Der Nebenindikator gibt den z-score des Kerzenschlusskurses an, standardmäßig als dünne, graue Linie. Rote und grüne Farbwechsel geben hier die Ausreißer-Vorwarnung eines bevorstehenden Trendwechsels an.


Praktische Anwendung: Da die normierten Returns zum Mittelwert zurückkehren (mean reverting), ist es wahrscheinlicher, dass sehr hohe oder sehr niedrige z-score Werte ebenso zum Mittelwert zurückkehren. Der Indikator funktioniert also als Oszillator im klassischen Sinn. Die Konfidenzintervalle von 90%, 95% und 99% dienen als Orientierungshilfe, der die Wahrscheinlichkeit des Nicht-Überschreitens des z-scores angibt. D.h. ein Annähern an diese Werte kann eine Trendwende anzeigen, da es z.B. für das 99% Level nur eine Wahrscheinlichkeit von 1% gibt, dass der z score dieses Level überschreiten wird. Eine Trendumkehr ist also viel Wahrscheinlicher. Gleiches gilt für den Farbwechsel.



„Sample Size“: Standardwert 30, gibt die Länge der Stichproben (historische Daten) an um den z-score zu berechnen

„Multiplier“: Standardwert 2.0, Definiert die Schwelle, wann ein Farbwechsel stattfindet um Ausreißer und mögliche Trendumkehr anzuzeigen.



Hinweis: Die Indikatoren dienen lediglich der statistischen Analyse und der Veranschaulichung von Wahrscheinlichkeiten und stellen keine Anlageberatung dar.

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Batsirayi L Marango
5 (1)
Golden Spikes Detector This indicator is based on an advanced strategy primarily for trading spikes on Boom and Crash Indices. Complex algorithms were implanted to detect high probability entries only. It alerts on potential Buy and Sell entries. To trade spikes on the Deriv or Binary broker, only take Buy Boom and Sell Cash alerts. It was optimised for 5-minute timeframe. Features ·          Sends push notifications to mobile phone ·          Pop up and sound alerts on computer or laptop ·     
150 USD
Die beste Lösung für jeden Newbie oder Expert Trader! Dieser Indikator ist ein einzigartiges, qualitativ hochwertiges und erschwingliches Trading-Tool, da wir eine Reihe von proprietären Funktionen und eine neue Formel integriert haben. Mit nur EINEM Chart können Sie die Währungsstärke für 28 Forex-Paare ablesen! Stellen Sie sich vor, wie sich Ihr Handel verbessern wird, weil Sie in der Lage sind, den genauen Auslösungspunkt eines neuen Trends oder einer Scalping-Gelegenheit zu erkennen. Be
128 USD
Big promotion! , prices are now on discount , get your copy now  The   Rubdfx Price Tracker   that is used to show price price bound , the price almost never goes out of the channel and most of the time price will react when it touches the channel limits .It determines the best highest and lowest prices at which you can sell and buy respectively Suitable for scalping & swing trading It Draws arrows that appear after a candle close , The arrows indicate bullish or bearish pressure For bearish an
259 USD
Weis Wave with Alert MT5
Panagiotis Diamantopoulos
4.92 (13)
20% Off from 499$ to 399$, offer end 31/3/2023    https://youtu.be/RjSSW0byp-I ** NEW PLUTUS SIGNALS and ALL IN ONE ** Wychoff's UpThrust + Spring, Fake Breaks and Plutus  trading signals added (for more info visit    http://www.tradethevolumewaves.com  ) (for more info visit    http://www.tradethevolumewaves.com )   Different Wave Types,  choose what your cumulative Histogram diplays: Volume, Pips, Progressive Volume Rate, Time or Emphasized Volume Waves  ** IF YOU PURCHASE DO NOT FORGET TO CO
399 USD
MetaBands M5
Vahidreza Heidar Gholami
5 (1)
MetaBands uses powerful and unique algorithms to draw channels and detect trends so that it can provide traders with potential points for entering and exiting trades. It’s a channel indicator plus a powerful trend indicator. It includes different types of channels which can be merged by the user to create new channels simply by using the input parameters. MetaBands uses all types of alerts to notify the user about market events. Features Supports most of the channel algorithms Powerful trend det
129 USD
The concept of Harmonic Patterns was established by H.M. Gartley in 1932. Gartley wrote about a 5-point (XABCD) pattern (known as Gartley) in his book Profits in the Stock Market. This indicator scan and alert when 4th point (C) is complete and predict where D should be.  In traditional, Gartley pattern include BAT pattern, Gartley pattern, butterfly pattern, crab pattern, deep crab pattern, shark pattern. Each pattern has its own set of fibonacci. In this indicator, we add more extended patter
149 USD
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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
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
99 USD
“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
99 USD
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
99 USD
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 sign
99 USD
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
35 USD
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