Multi-Timeframe EMA Trend Following with Fixed Risk-Reward Exits
Summary
This short-term strategy combines a 5-minute trend filter with 1-minute entry signals. It uses a 200-period EMA on the higher timeframe to set the permitted direction, then enters when price crosses the 1-minute 20-period EMA in that direction. Each trade uses a stop 0.5% from entry and a profit target twice that distance away, giving a stated 1:2 risk-reward ratio.
The document explains the rules and lists possible weaknesses, including lagging signals, false entries in choppy markets, tight stops in low volatility, trading costs, and losses during sharp reversals. It also suggests testing volatility-based stops, volume confirmation, and trend-strength filters. The published backtest settings identify DOGE/USDT on Binance over a one-month period, but no performance results are provided. The source requests the higher-timeframe EMA with lookahead enabled, a setting that can expose future information in historical calculations; the described logic therefore needs careful validation before its backtest behavior can be trusted.
Key ideas
- A 5-minute 200-period EMA filters the direction of trades.
- A 1-minute 20-period EMA crossover triggers entries aligned with that filter.
- Stops are set 0.5% from entry, with targets twice the stop distance away.
- Choppy markets, EMA lag, tight stops, trading costs, and sharp reversals are identified as risks.
- The published settings specify a DOGE/USDT backtest period, but provide no performance results.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.