- Adaptive RSI Periods: The indicator introduces the concept of adaptive RSI periods based on the ATR (Average True Range) of the market. When enabled, it dynamically adjusts the RSI calculation period, offering longer periods during high volatility and shorter periods during low volatility. This adaptability enhances the accuracy of RSI signals across varying market conditions.
- Volume-Based Smoothing: The indicator includes a smoothing feature that computes a time-decayed weighted moving average of RSI values over the last two bars, using volume-based weights. This approach offers a time-sensitive smoothing effect, reducing noise for a clearer view of trend strength compared to the standard RSI.
- Divergence Detection: Traders can enable divergence detection to identify potential reversal points in the market. The indicator highlights regular bullish and bearish divergences, providing valuable insights into market sentiment shifts.
- Customizable Parameters: Traders have the flexibility to customize various parameters, including RSI length, adaptive mode, ATR length, and divergence settings, to tailor the indicator to their trading strategy.
- Overbought and Oversold Levels: The indicator includes overbought (OB) and oversold (OS) boundary lines that can be adjusted to suit individual preferences. These levels help traders identify potential reversal zones.
The "ATR Adaptive RSI Oscillator" is a powerful tool for traders seeking to adapt their trading strategies to changing market dynamics. Whether you're a trend follower or a contrarian trader, this indicator provides valuable insights to support your decision-making process.
1. Some bug fixes
2. Added logic to enhance the calculation of dynamic/adaptive RSI length, now derived from a Normal Distribution based on a larger data sample.
Normal Distribution: The Normal Distribution is a statistical concept used to model the distribution of data. It is characterized by two key parameters: the mean (average) and the standard deviation (a measure of data dispersion).
- Identifying Data Points (ATR) : The primary objective of utilizing this dataset and Normal Distribution is to identify specific data points that meet predefined criteria.
- Criteria Exceeding One Standard Deviation (1st Z-Score Range): The selection criteria involve identifying ATRs that deviate from the mean by more than one standard deviation. In simpler terms, we focus on data points that fall outside the range of one standard deviation above and below the mean.
- Adaptive RSI Length: The adaptive RSI length is dynamically determined based on the characteristics of the dataset and the criteria mentioned above. Specifically, when data points exceed one standard deviation from the mean, indicating increased volatility or divergence from the norm, the RSI calculation period is adjusted. This adaptive approach ensures that the RSI indicator responds effectively to changing market conditions."
- Added z-score. The Z-scores multiplier acts as a filtering mechanism, offering insights into the degree to which each data point (ATR) deviates from the mean in terms of standard deviations.
- Made minor changes and added input constraints.
- Code Refactor
- Added dynamic color for "RSI plot".
- Added a switch to control the appearance of the RSI length boost histogram.
- Code refactor
- Incorporated an indicator description as comments within the code to provide better context and understanding
- Normalized ATR values to align with the boosted range of RSI lengths, refining the adaptive mechanism.
- Simplified RSI calculations for various periods and implemented a new method for adaptive length determination based on ATR conditions.
- Adopted camelCase naming convention throughout the script for improved readability and standardization.
- Added minimalistic and informative comments to aid in understanding the script's functionality.
Dans le véritable esprit de TradingView, l'auteur de ce script l'a publié en open-source, afin que les traders puissent le comprendre et le vérifier. Bravo à l'auteur! Vous pouvez l'utiliser gratuitement, mais la réutilisation de ce code dans une publication est régie par le règlement. Vous pouvez le mettre en favori pour l'utiliser sur un graphique.
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