Screening Stocks for Large Ranges, Three Limit-Up Sessions, and Revenue Growth

Summary

This post proposes an equity screen based on a large daily price range, three consecutive limit-up sessions as of the prior day, and higher revenue in 2021 than in 2018 by a stated threshold. It frames the combination as a way to find active, recently strong stocks whose reported revenue has grown. The document includes example formulas and Python-style code intended to express the price action and revenue conditions, but it gives no selected securities, backtest, or other evidence that the screen predicts returns.

The author cautions that the approach can miss demand, competition, and other long-term business factors, while technical signals can be unreliable and a narrow set of criteria can leave risks unaddressed. The post suggests adding broader fundamental and technical analysis. The sample implementation also appears to use futures-oriented data interfaces and contract references despite presenting an equity-selection idea, so the code's applicability and the exact meaning of the price-range condition require verification before use.

Key ideas

• The proposed screen combines a daily range threshold with three consecutive limit-up sessions and revenue growth over a historical comparison.
• The article supplies example formulas and code but no performance evidence.
• The author identifies false technical signals and omitted business factors as risks.
• The sample code's futures-oriented data references may not fit the stated equity screen.

Tags

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