Multi-Signal Bottom Reversal Strategy with RSI and SMA Filters

Summary

This strategy scores potential bottoms by combining candlestick patterns with several indicator signals: Noro’s Bottom Sensitivity, a volatility-based measure, CVI, UCS, and RSI. Users can enable or disable components and set a minimum signal count. A buy signal also requires an oversold RSI reading; an optional SMA filter and candle-color condition further restrict entries. The example is configured for BTC/USDT futures on a daily chart, with a one-hour base period, over about a year.

The document describes a trend-following stop approach, but the supplied code shows a long entry and an RSI-based close condition rather than an explicit trailing stop. It gives no performance results, and the multi-timeframe label is not clearly reflected in the listed signal logic. Several indicators are implemented with fixed thresholds, so parameter choices and signal interactions may matter across markets. The authors also caution that bottom patterns can fail, combined filters can miss reversals, and volume support should be considered.

Key ideas

• A configurable score combines multiple bottom patterns and indicator readings to identify possible reversals.
• Long entries require both a sufficient pattern score and an oversold RSI condition.
• An optional SMA filter restricts signals based on price relative to the moving average.
• The published code closes positions using an RSI condition but does not show an explicit trailing stop.
• The example provides market and timeframe settings but no results demonstrating performance.

Tags

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