Adaptive Zero-Lag EMA with Instantaneous Cycle Periods

Summary

This strategy pairs an error-corrected exponential moving average with a standard EMA. It estimates the market’s dominant cycle using cosine or in-phase/quadrature instantaneous frequency methods, then uses those estimates to adjust the fast line’s period. Crossovers between the fast and slow lines generate long and short signals; the described implementation also includes configurable stop, target, and risk inputs.

The document explains the indicator logic and suggests testing across market conditions, since adaptive periods can fail and fixed exits can be poorly chosen. It gives parameter defaults and a published backtest configuration for BTC/USDT futures, but reports no performance results or evidence that the strategy is profitable. Its trend-market suitability is a claim in the document, not a demonstrated finding. The source is provided for research context, and the proposed additions—such as filters, trailing exits, and position sizing—are ideas for further testing.

Key ideas

• The fast line applies an error correction to an EMA to reduce lag.
• Cosine and in-phase/quadrature frequency methods estimate a dominant price cycle for period adaptation.
• Crossovers between the adaptive fast line and a standard EMA define long and short signals.
• The document recommends testing parameter choices across market conditions and simulating live trading costs.
• The published configuration contains no performance results, so profitability is unestablished.

Tags

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