RSI 2 based on normalized price

  • 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 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 distributed, due to the signal processing, it can also be used as divergence indicator. This works much better than with traditional RSI, which can stay “overbought” or “oversold” for a long time, as mean is not zero (axis).

 

Use in confluence with other indicators made based on volatility, probability and statistics.

 

The Input Settings:

Sample Size RSI 2.0: Default 14, length of periods back to calculated RSI 2.0

Multiplier: default 1.96, 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 RSI 2.0

 

 

Remark: Indicator is provided for statistical analysis and showing probabilities only and should not be construed as financial advice.


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Chimera Volume pour MetaTrader 5 Analyse avancée du volume et visualisation de l'activité du marché Chimera Volume est un indicateur personnalisé pour MetaTrader 5, conçu pour analyser l'activité des volumes normalisés et afficher les changements dans la participation au marché via un cadre visuel dynamique. L'indicateur traite les données de volume de ticks en utilisant des algorithmes de normalisation adaptative et génère une représentation structurée de l'intensité du volume, des phases d'acc
PrimeScalping
Temirlan Kdyrkhan
PrimeScalping 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 e
Grabber System MT5
Ihor Otkydach
4.83 (24)
Je vous présente un excellent indicateur technique : Grabber, qui fonctionne comme une stratégie de trading "tout-en-un", prête à l'emploi. En un seul code sont intégrés des outils puissants d'analyse technique du marché, des signaux de trading (flèches), des fonctions d'alerte et des notifications push. Chaque acheteur de cet indicateur reçoit également gratuitement : L'utilitaire Grabber : pour la gestion automatique des ordres ouverts Un guide vidéo étape par étape : pour apprendre à installe
AI Forecast MT5
Leonardo Antonio Camacaro Armas
The "AI Forecast" indicator is the result of a unique experiment in which I asked an AI how to create the best indicator to anticipate the market. The AI suggested measuring the past history of the price and its reactions to different levels, and then calculating the probabilities of the price reaction in the future. With this idea, I designed with the help of another AI the "AI Forecast" indicator, which adapts to any MetaTrader chart and shows you three lines: one for entry and two for possi
CGE Trading Suite
Carl Gustav Johan Ekstrom
5 (2)
Institutional-Grade Analytics for MT5 The full analytical edge of a professional trading desk, built into your MT5 chart. CGE Trading Suite is an indicator system of 17 integrated modules covering market structure, timing, momentum, and capital flow — combined into a single chart-based workspace. Why CGE Trading Suite? The suite empowers traders with structure, confidence, and consistent performance across all markets and time frames. Hover over any signal or tool on the chart to instantly see
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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 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
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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