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EMA Crossover Strategy Filtered by RSI and ADX

Article Strategy library · Author: ChaoZhang

Summary

This strategy uses fast and slow exponential moving averages to identify crossovers, then filters signals with RSI and ADX. A bullish crossover can open a long position when RSI is below its overbought threshold and ADX exceeds its trend-strength threshold. A bearish crossover with RSI above its oversold threshold and sufficient ADX closes the long position. The document describes risk-reward-based exits and includes alert conditions.

The material supplies indicator settings and a BTC/USDT futures backtest window, but it reports no performance statistics or trade outcomes. Its stated limitations include missed entries from requiring several conditions, false signals in ranging markets, and the possibility of overfitting through parameter tuning. The source logic also places an exit order on long entry using levels calculated from the current price and average entry price, so the claimed dynamic risk control is not substantiated by reported testing. The strategy is presented as a framework for further evaluation rather than validated evidence of profitability.

Key ideas

  • Fast and slow EMA crossovers provide the primary directional signals.
  • RSI thresholds and an ADX minimum act as filters before entries or exits.
  • The document includes a configurable risk-reward exit and alert conditions.
  • No performance results are reported, and the source's exit calculations warrant careful verification.

Tags

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