Combining Price Reversal Signals with Volatility and Valuation Filters

Summary

The document describes an equity screen that combines a daily price range threshold, a recent reversal pattern, and a lower current low than the previous day. It then proposes adding a valuation filter: require the stock’s price-to-earnings ratio to be no higher than its industry average. The post includes example implementations in charting syntax and Python, and frames the setup as a way to identify short-term candidates with a fundamental constraint.

The rationale is that a larger range may indicate active trading and that a reversal pattern could signal a change in direction. However, the document provides no backtest results or evidence that these signals predict returns. It acknowledges that the approach omits broader business and valuation analysis, and that technical patterns can be subjective or misleading. The Python example also relies on specific data fields and a fixed fundamentals date, so implementation details and timing would need review before use.

Key ideas

• The screen combines a daily range threshold, a recent reversal pattern, and a lower low than the prior session.
• The proposed refinement excludes stocks whose price-to-earnings ratio exceeds the industry average.
• The post gives sample charting and Python implementations but does not report performance tests.
• Short-term technical signals may be subjective, and the screen omits wider company and market factors.
• The sample’s data timing and field definitions should be checked before practical use.

Tags

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