Crypto Strategy Combining Hurst Filters, Regime Detection, and Session Structure

Summary

This excerpt describes a crypto trading system that combines adaptive moving-average and Laguerre filters with a Hurst-style measure, volatility compression, and a hidden Markov model regime detector. It also maps Asian, London, and New York sessions to accumulation, manipulation, and distribution phases, and includes cross-market causality inputs using DXY. The strategy settings expose long-only mode, compounding, leverage, martingale sizing, profit targets, and stop losses.

The available text is only the opening portion of a Pine Script source listing. It does not show the full signal rules, position management logic, performance report, or empirical results, so the strategy’s claimed concepts cannot be evaluated from this excerpt. The inputs imply substantial leverage and loss escalation through martingale sizing, but the document gives no evidence that these risks are offset or that the regime and causality components improve results.

Key ideas

• The script combines adaptive filters and a Hurst-style calculation to characterize market structure.
• It includes a hidden Markov model regime detector and a volatility compression measure.
• Trading sessions are assigned accumulation, manipulation, and distribution roles.
• Risk settings include compounding, leverage, martingale steps, targets, and stop losses.
• The excerpt omits the full entry and exit rules and provides no performance evidence.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.