Moving Average Trend Filters with a Simulated Prediction Signal

Summary

This proposed trend-following system combines price position relative to 200-period EMA and SMA filters with a directional prediction signal. It describes taking long positions when price is above both averages and the prediction is positive, and short positions when price is below both and the prediction is negative. The intended chart interval is daily, with a fixed four-bar holding period presented as a way to limit trade duration.

The prediction component in the supplied implementation is random, rather than a trained or validated forecasting model, and the document offers no performance results. Its suggestion that the approach could later use machine learning is a design possibility, not evidence of predictive value. The listed limitations include reversal losses, sensitivity to moving-average and holding-period choices, slippage, and weak behavior in ranging markets. The stated backtest configuration concerns BTC, but does not establish that the simulated predictions or trade logic produced useful results.

Key ideas

• The system combines price location relative to long EMA and SMA filters with a directional prediction.
• Long and short signals require agreement between the trend filters and the prediction sign.
• The design specifies a fixed four-bar holding period on daily data.
• The supplied prediction is random, so the document provides no evidence of forecasting skill or strategy performance.
• Potential weaknesses include reversal losses, parameter sensitivity, slippage, and ranging markets.

Tags

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