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New Trading Strategy Uses Hurst Exponent for Risk Reduction

9/25/2025

23 3 Full Breakdown

Summary

Story summary

The study presents a trading strategy using the Hurst Exponent (H) to filter trades by price divergence.
A sell condition requires the spread to stay within statistical boundaries and H < 0.5.
Trades close when the spread reverts to its mean or deviates, with a maximum of 7 days.
The approach targets mean-reversion to reduce risk and balance token volatilities.

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Story summary

The study presents a trading strategy using the Hurst Exponent (H) to filter trades by price divergence.
A sell condition requires the spread to stay within statistical boundaries and H < 0.5.
Trades close when the spread reverts to its mean or deviates, with a maximum of 7 days.
The approach targets mean-reversion to reduce risk and balance token volatilities.