Crypto Entries Using MFI Divergence, Stochastic Filters, and Trend Regimes

Summary

This crypto strategy combines two entry approaches: an MFI divergence setup filtered by a stochastic reading above 50, and a trend entry when stochastic is above 50 as MFI crosses above 50. Both are gated by an upward VWMA–SMA relationship. OBV and an ATR-based market-state measure help distinguish active trends from ranging conditions; the strategy favors divergence entries during ranges. It uses recent support for a stop and a percentage-based profit target.

The document provides adjustable indicator and exit parameters and BTC/USDT futures backtest settings for a one-month period, but reports no performance results. It acknowledges that divergence may not precede a reversal, filters can miss moves or admit false signals, and tight exits can cause repeated closing and re-entry. The written description and source excerpt do not fully establish that every described filter is applied identically to both entry routes. Parameter tuning, dynamic exits, and testing across assets are suggested, but require independent validation.

Key ideas

• The strategy combines an MFI divergence entry with a stochastic filter and a separate MFI–stochastic trend entry.
• An upward VWMA–SMA relationship gates entries, while OBV and ATR help classify market conditions.
• The method favors divergence setups in ranging markets and trend signals in upward conditions.
• Stops use recent support, while profit exits use a percentage target.
• Divergence and indicator filters can fail, and the supplied backtest configuration includes no reported results.

Tags

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