RSI 2 based on normalized price

  • Indicatori
  • 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
  • Versione: 1.0
  • Attivazioni: 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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KURAMA GOLD SIGNAL PRO (MT5) — Filtro a 7 livelli · TP/SL automatico · Punteggio di qualità · Salvataggio dello storico dei segnali | Sistema di trading completo per XAUUSD Nessun ridisegno (repaint) in tempo reale. Nell'istante in cui appare un segnale, freccia, ingresso, TP e SL vengono bloccati sul posto e non si spostano mai più. Ciò che fai tradare è proprio questo segnale in tempo reale. E nella v7.20, ogni segnale realmente inviato viene salvato automaticamente e ripristinato con esattez
The Ultimate Ichimoku MTF Dashboard: Your All-In-One Trading Edge Transform Your Trading with One Powerful Indicator Imagine having a professional trading assistant that monitors multiple timeframes simultaneously, identifies high-probability entries, warns you of potential reversals, and provides clear risk management guidance-all in one clean, intuitive display. That's exactly what the Ichimoku MTF Dashboard delivers.     Why This Isn't Just Another In
Stargogs Spike Catcher
Lorenzo Edward Beukes
4.56 (9)
Stargogs Spike Catcher V4.0 This Indicator is Developed To milk the BOOM and CRASH indices . Now Also work on weltrade for PAIN and GAIN indices. Send me Message if you need any help with the indicator.  CHECK OUT THE STARGOGS SPIKE CATCHER EA/ROBOT V3: CLICK HERE ALSO CHECK OUT SECOND TO NONEFX SPIKE CATCHER:   CLICK HERE STARGOGS SPIKE CATCHER V4.0 WHATS NEW! Brand New Strategy. This is the Indicator you need for 2025. New Trend Filter to minimize losses and maximize profits. New Trendline th
Liquidity HeatMap Profile
Israr Hussain Shah
5 (1)
Here   our more valuable tools SMC Trend Trading   ,  Easy SMC Trading  ,  Institutional SMC Architect Volume Analysis Tools  ,  Volume flow Profile  ,  Market volume profile  , FVG with Volume  , Liquidity Heatmap Profile  ,  Volume Spread Analysis 2. Key Features Dynamic Filtering : The core feature. As soon as the current price crosses a historical liquidity level, that level disappears. This reduces chart clutter and prevents you from trading off "dead" support/resistance. Liquidity Heatma
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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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