RSI 2 based on normalized price

  • Indicators
  • Florian Nuebling
    Florian Nuebling

    Florian Nuebling

    5 (1)
    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
    8 products
  • 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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ZIVA LSE Pro: Trade the Flow, Not the Noise ZIVA LSE Pro was developed around a simple belief: professional traders do not need more random signals; they need better context. This workflow reflects the ZIVA approach to filtering market noise and focusing on the liquidity and structural mechanics that influence price behavior. Most indicators treat the market like a static picture. ZIVA LSE Pro is built to read it as a dynamic environment where liquidity, structure, volatility, and execution con
Spike detector Green V2
Odete Argelio Simbine
Indicators
Spike DETECTOR Green V2 Spike Detection System - Version 2 Non-repainting indicator optimized for high-volatility markets such as Boom, Crash, and Volatility Indices. Detects strong momentum moves (spikes) with low latency. What Changed in V2: Algorithm 47% more accurate than the previous version Improved anti-false signal filtering system Faster detection (0.7 candles on average) Control panel with real-time metrics Key Features: Non-repainting signals with clear visual arrows Confidence-based
Quant Direction MT5
Georgios Kalomoiropoulos
Indicators
Quant Direction is a 3 dimensional market analysis tool. It provides a purely objective, algorithmic view of the market by calculating exact percentage-based biases across multiple dimensions simultaneously. Developed utilizing advanced AI modeling tools and subjected to thorough testing, this algorithm is engineered to read the market with unique precision. It can analyze any currency pair or financial instrument available on your platform.  Quant Direction is the ideal tool whether you are a S
Grabber System MT5
Ihor Otkydach
4.83 (24)
Indicators
Let me introduce you to an excellent technical indicator – Grabber, which works as a ready-to-use "All-Inclusive" trading strategy. Within a single code, it integrates powerful tools for technical market analysis, trading signals (arrows), alert functions, and push notifications. Every buyer of this indicator also receives the following for free: Grabber Utility for automatic management of open orders Step-by-step video guide: how to install, configure, and trade with the indicator Custom set fi
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Drift
Florian Nuebling
Indicators
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)
Indicators
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 Correlation
Florian Nuebling
Indicators
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
Z Score Standardized Normal Distribution
Florian Nuebling
Indicators
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
Returns Momentum Oscillator RMO
Florian Nuebling
Indicators
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
Returns based Bollinger Bands
Florian Nuebling
Indicators
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
Florian Nuebling
Indicators
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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