Trend-Following Signals Filtered by PSAR, ADX, RSI, and Chaikin Money Flow

Summary

This trend-following method combines four indicators to qualify entries. Its long setup requires the PSAR-defined trend state, RSI above a midpoint threshold, ADX above its own exponential moving average, and positive Chaikin Money Flow. The reverse conditions define a close signal. In this way, the rules combine direction, trend strength, momentum, and a volume-derived measure of buying or selling pressure.

The document describes the strategy as a way to identify emerging trends while filtering possible false breakouts, but it provides no measured results establishing that benefit. The published backtest uses BTC/USDT futures on daily bars over roughly one month, which is too limited to support broad conclusions. The text also flags position concentration, short-term volatility, and losses when filter conditions change. It suggests improving position sizing and stops, and testing parameters more rigorously; machine learning is proposed as a future optimization rather than a demonstrated component.

Key ideas

• Long entries require aligned PSAR, RSI, ADX-versus-EMA, and CMF conditions.
• The exit signal uses the opposite indicator states.
• The rules combine trend direction, trend strength, momentum, and money-flow information.
• The brief BTC/USDT futures test does not establish robust performance across conditions.
• Position sizing, changing filters, and short-term price fluctuations are identified as risks.

Tags

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