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Screening Stocks by Recent Gains, Trading Range, and Listing Age

Article SuperMind

Summary

This post describes a stock screen based on a trading-range threshold, three consecutive days of gains, and at least a year since listing. It presents the range condition as a way to find active stocks, the recent gains as a short-term strength signal, and listing age as a filter for newer listings with limited history. The post also suggests combining these conditions with fundamental, valuation, and earnings-expectation analysis.

The author flags that the screen ignores company fundamentals and longer-term business conditions, and may miss stocks whose recent strength follows an inconsistent past. It suggests using other indicators, such as RSI, to broaden the selection. No backtest or performance evidence is provided. The accompanying Python example appears inconsistent with the stated stock-screen rules, so the text does not establish that the code implements or validates the described strategy.

Key ideas

  • The screen combines a trading-range threshold, three consecutive daily gains, and a minimum listing age.
  • The post frames recent price behavior as a short-term strength filter and listing age as a way to exclude newer stocks.
  • The author recommends considering fundamentals, valuation, and earnings expectations alongside price conditions.
  • The post gives no performance test, and its code example does not clearly match the written rules.

Tags

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