Screening Stocks for Moving-Average Clusters and Prior Limit-Ups

Summary

This stock-screening proposal selects A-share names whose closing prices lie within a cluster of five moving averages, using 5-, 10-, 20-, 30-, and 60-day periods. It adds a historical filter: the stock must have reached the daily price limit at least twice during 2021. Qualifying names are then ranked by closing price, with the top N selected. The article provides a high-level process and a partial Python example, but it does not specify how tightly averages must cluster to count as overlapping.

The proposed rationale is that clustered averages may identify a consolidation area, while prior limit-up sessions may indicate past upward strength. The post cautions that moving averages shift with price, historical limit-ups do not ensure future gains, and the rules ignore company finances, industry conditions, and overall market direction. It suggests adding fundamental, sector, technical, and sentiment measures. The code excerpt is incomplete and does not demonstrate a faithful implementation of all stated conditions; the document reports no backtest results or evidence of predictive performance.

Key ideas

• The screen looks for A-share stocks with price near a cluster of five moving averages.
• It also requires at least two limit-up sessions during 2021.
• Candidates are ranked by closing price, though the selection count is left as N.
• The source does not define a precise threshold for deciding when averages overlap.
• Fundamentals, industry context, and broader market conditions are omitted, and no performance evidence is given.

Tags

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