Screening Small Profitable Stocks by Moving-Average Confluence and Limit-Ups

Summary

The note proposes screening Chinese stocks for three traits: at least five overlapping moving averages, at least two limit-up days during the prior 500 days, and market capitalization below 10 billion yuan with no losses. It presents the moving-average cluster as a way to identify a notable price trend, past limit-ups as evidence of activity and market attention, and the size and profitability filters as a way to focus on smaller companies. A brief code example starts to calculate moving averages, but the implementation is incomplete and does not show a full selection or trading procedure.

The author acknowledges that the screen omits sentiment and policy influences and may miss longer-term investment opportunities because it emphasizes recent market performance. Suggested extensions include additional technical, sentiment, policy, and industry measures. No backtest, performance statistics, or comparative evidence is provided, so the stated rationales should be treated as hypotheses rather than demonstrated effects.

Key ideas

• The screen combines five overlapping moving averages with at least two limit-up sessions in 500 days.
• It adds filters for market capitalization below 10 billion yuan and a company with no losses.
• The note associates moving-average convergence with trend analysis and prior limit-ups with market attention.
• It gives no backtest evidence, and its moving-average code example is incomplete.
• The author identifies sentiment, policy, and long-term value as factors the screen may overlook.

Tags

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