A normal distribution curve overlay that visually maps the probability of price movements, helping traders identify outliers, potential support/resistance zones, and market inefficiencies across different assets and timeframes.
Explore complementary indicator rolesHow it works
The normal distribution curve uses percentile linear interpolation to calculate a probability distribution for a given dataset, considering the nearest data points and smoothly interpolating between them. It employs a 5000-period lookback to ensure comprehensive data analysis, automatically adjusting for smaller datasets.
The indicator generates a bell curve that visualizes how data clusters around the mean, with tails representing extreme percentiles. By mapping the distribution of values, it creates a dynamic representation of price movements that adapts to different assets and timeframes, providing a flexible statistical analysis tool.
Why it may be useful
This indicator offers traders a more nuanced approach to understanding price movements by replacing static threshold levels with dynamically calculated percentile ranges. It helps identify true outliers and potential reversal points that are specific to each asset's unique price behavior, moving beyond traditional fixed indicators like RSI's standard 70/30 levels.
By providing a visual representation of data distribution, traders can more effectively assess market conditions, recognize potential support and resistance zones, and make more informed trading decisions based on the actual statistical probability of price movements.
When to explore it
The normal distribution curve is most effective when analyzing assets with varying volatility levels, where traditional static indicators might provide misleading signals. It works particularly well for traders seeking to understand the underlying statistical characteristics of price movements across different timeframes and market conditions.
This tool is especially valuable when investigating price patterns, identifying potential trend acceleration or reversal points, and gaining insights into market inefficiencies. Traders can apply it to both price data and derived indicators, offering a versatile approach to market analysis that goes beyond conventional technical analysis methods.
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What we’ve verified
Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.
General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.
