Screening Small Profitable Stocks for Moving-Average Clusters and Limit-Ups

Summary

This Chinese-language post proposes screening equities with three conditions: market capitalization below 10 billion yuan, no losses, at least two limit-up sessions in the past 500 days, and at least five moving averages clustered together. It presents clustering as a possible sign of stable price action, profitability as a business-quality filter, and repeated limit-ups as a sign of market activity and investor attention.

The post suggests adding valuation measures such as price-to-earnings and price-to-book ratios, varying the lookback period, and combining the filters into a score. It offers illustrative Python and platform-specific screening references, but no backtest results or evidence that the rules work. The code’s conditions do not clearly implement the stated limit-up and moving-average criteria, and the scoring scheme is only sketched. The author also cautions that the screen is simple, may miss other candidates, and relies heavily on past price behavior.

Key ideas

• The proposed screen combines small market capitalization, absence of losses, repeated limit-up sessions, and clustered moving averages.
• The post interprets clustered averages as possible stability and repeated limit-ups as a sign of market attention.
• It suggests supplementing the filters with valuation ratios, longer lookbacks, or a combined score.
• No performance evidence is given, and the sample code does not clearly match all stated criteria.

Tags

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