Combining EMA Trend Alignment with RSI and Stochastic Filters
Summary
This rules-based strategy combines a stack of five exponential moving averages with RSI and Stochastic conditions. It enters long when the averages are ordered upward and both oscillators remain below specified overbought thresholds; it enters short when the averages are ordered downward and both oscillators remain above specified oversold thresholds. A position is closed when any corresponding exit condition is met, such as an EMA relationship reversing or an oscillator reaching an extreme.
The document includes a sample backtest configuration for BTC perpetual futures across a stated date range, but supplies no performance results. It emphasizes that adding indicators does not guarantee better decisions: similar indicators may duplicate information, and jointly tuning their parameters is difficult. The provided rules offer a testable framework, but the description does not establish that the filters improve returns or control risk across other markets and periods.
Key ideas
- The relative ordering of five EMAs defines the directional trend condition.
- RSI and Stochastic thresholds filter long and short entries.
- An exit condition from any of the trend or oscillator checks can close an open position.
- A historical BTC perpetual futures backtest configuration is supplied without reported outcomes.
- Redundant indicators and complex parameter tuning are identified as key limitations.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.