Combining CCI, RSI, Stochastic, and MFI with Inverse Fisher Signals

Summary

This strategy combines CCI, RSI, Stochastic, and MFI readings. Each indicator is scaled, smoothed with a weighted moving average, and passed through an Inverse Fisher Transform so the readings share a bounded range. Their average forms a composite signal: crossing upward through -0.5 triggers a long, while crossing downward through 0.5 triggers a short. The rules also specify percentage-based stop and profit levels for both directions, plus signal-based position closes.

The document publishes a BTC/USDT Binance futures backtest window of about a month, but reports no returns, drawdown, trade count, or comparison, so it offers no empirical basis for judging effectiveness. It identifies lag from smoothing, fixed risk levels, and market-specific parameter choice as limitations, and suggests adaptive risk levels and market filters. The provided rules include overlapping signal thresholds and do not explain how conflicting entry and close conditions are resolved, so implementation behavior may depend on platform order handling.

Key ideas

• Four technical indicators are smoothed, transformed, and averaged into one composite signal.
• The composite crossing -0.5 upward signals a long, while crossing 0.5 downward signals a short.
• The rules pair signal-based closes with fixed percentage stops and profit targets.
• Published backtest settings specify BTC/USDT Binance futures but include no reported performance measures.
• Smoothing lag, fixed risk levels, and overlapping signal thresholds limit interpretability.

Tags

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