WMA Crossovers with Inverse Fisher CCI Momentum and Trailing Exits
Summary
This multi-part strategy uses a fast and slow weighted moving average crossover to establish direction, then applies an inverse Fisher transform of the Commodity Channel Index as a momentum filter. The stated thresholds require stronger positive momentum for long trades and negative momentum for shorts. A “ready” state can defer entry until momentum confirms the crossover while the moving-average direction persists. The system also describes percentage-based trailing profit exits and a maximum-loss stop, with chart labels marking signals and trades.
The document discusses parameter sensitivity, crossover lag, excess trading in sideways markets, and the mismatch between simulated and live execution. It recommends testing across market conditions and suggests possible extensions such as volatility-adjusted exits and multiple timeframes. However, the supplied material is incomplete, and it gives no clear market, timeframe, backtest period, or performance results. Its claims of robustness and improved signal quality are therefore unverified; the described rules are a strategy outline rather than evidence of an established edge.
Key ideas
- Weighted moving average crossovers set the proposed long or short direction.
- An inverse Fisher transform of CCI filters crossover signals by momentum strength.
- A ready state can delay entry until momentum confirms the trend signal.
- Percentage-based trailing profit and maximum-loss rules manage exits.
- The document names lag, parameter sensitivity, and sideways-market trading as risks but 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.