Screening Stocks for Large Daily Ranges, Reversal Patterns, and Listing Age

Summary

This stock screening approach combines three filters: a daily high-to-low range above a threshold, a reversal or engulfing-style pattern, and a minimum time since listing. The document offers both formula-style and Python-oriented examples, and suggests sorting selected stocks by a measure involving closing price, volume, and capitalization. It also recommends adding valuation measures and setting listing-age requirements with industry differences in mind.

The material is a high-level screening recipe rather than a fully specified or validated strategy. Its description of the reversal condition is not entirely consistent: the formula checks whether consecutive close-to-close direction signs differ, while the Python example refers to a candlestick pattern and combines conditions whose types are unclear. The listing-age calculation and thresholds also need careful definition before implementation. No backtest, returns, benchmark comparison, or evidence of predictive value is provided, and the document acknowledges that price-based filters can overlook company fundamentals and event-driven distortions.

Key ideas

• The screen selects stocks with a daily range above a threshold, a reversal signal, and sufficient listing history.
• The document suggests adding valuation measures and tailoring listing-age thresholds by industry.
• The formula and Python examples describe the reversal condition differently, so the signal needs clarification before use.
• No performance testing is presented, and the screen may miss fundamental risks or react to isolated events.

Tags

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