A binary entropy function using price and volume to measure information content and generate trading signals based on statistical measurement of market movements and potential trend shifts.
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The Bernoulli Process indicator calculates entropy using binary variables of price and volume data. It transforms market information into a statistical measurement by analyzing the probability distribution of price and volume changes.
The indicator computes entropy across different time lengths, typically between 9 and 22 periods, to capture meaningful market information. By subtracting volume from price, it creates a signal similar to MACD that highlights potential market divergences. The calculation considers both price and volume movements to generate a comprehensive information signal
Why it may be useful
This indicator provides traders with a unique perspective on market dynamics by quantifying information content through entropy measurement. It helps identify potential trend shifts and market inefficiencies by analyzing price and volume data statistically.
The signal can reveal hidden market information that traditional indicators might miss. By combining price and volume entropy, traders gain insights into market structure and potential trend reversals. The indicator offers a sophisticated approach to understanding market movements beyond conventional technical analysis methods
When to explore it
The Bernoulli Process indicator works best in markets with clear price and volume patterns. It is most effective during periods of moderate market volatility where information content can be meaningfully measured. Traders should use this indicator on timeframes between daily and weekly charts to capture sufficient market information.
It is particularly useful for identifying potential trend divergences and measuring market efficiency. The indicator performs well in markets with consistent trading volume and clear price trends, such as cryptocurrency, stocks, and forex markets
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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.
