Combining Trend, Momentum, and Mean-Reversion Indicators for Entries
Summary
This strategy combines moving averages, RSI, Bollinger Bands, and price structure tools to form long and short signals. Long entries require the fast EMA to exceed the slow EMA, price to be above the short SMA and Bollinger midpoint, and RSI to remain below a threshold; short entries reverse those conditions. Opposite-side signals close existing positions. Pivot levels and ZigZag points are presented as aids for reading market structure, while moving averages and Bollinger Bands provide trend and mean references.
The document supplies no performance results. It warns that indicator settings can be sensitive, moving averages may lag during sharp changes, and signals may conflict around turning points. Its code uses opposing signals for exits and does not implement a stop loss, despite describing risk filters as built in. Suggested extensions include higher-timeframe confirmation, volatility-based stops, volume filters, adaptive parameters, and market-state classification; these are proposals rather than validated improvements.
Key ideas
- EMA and SMA relationships provide trend filters for entries.
- RSI thresholds and price relative to the Bollinger midpoint further constrain entry signals.
- Opposing entry conditions serve as exits, but the implemented strategy has no explicit stop loss.
- The document recommends testing parameter robustness across market conditions.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.