Adaptive Trend Trading with Moving Averages, Stoch RSI, and WaveTrend

Summary

This strategy classifies the broad market direction using the slope of a 300-period exponential moving average, then selects configurable indicator signals for bullish and bearish regimes. Moving-average relationships, Stoch RSI, and WaveTrend can contribute to a score; a user-set threshold determines when a trade signal is issued. The document also describes regime-specific profit and loss settings, optional position exits after a trend reversal, and trade expiration controls.

The described design offers flexibility, but the document gives no backtest settings or performance evidence. It warns that EMA breaks may fail, trend changes can be recognized late or incorrectly, and indicator behavior may vary by instrument and timeframe. Parameter tuning can also overfit historical data. Although the strategy is presented as adaptive, its proposed machine-learning parameter tuning and weighted signals are suggested improvements rather than demonstrated features or validated results.

Key ideas

• The slope of a long-period EMA defines the broad bullish or bearish regime.
• Moving-average signals, Stoch RSI, and WaveTrend can be enabled and combined through a configurable signal score.
• Profit targets, stop losses, reversal exits, and trade expiration can be configured for different market regimes.
• EMA breaks and indicator signals can fail, and trend systems may lag market reversals.
• The document provides no performance results, so its proposed adaptability and potential benefits remain unvalidated.

Tags

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