Screening China A-Shares by Turnover, Recent Returns, and Profit Growth

Summary

This community post outlines a China A-share stock screen that excludes Beijing-listed companies and selects stocks with turnover between 3% and 12% and a positive but limited recent price gain. It then proposes refining the candidates using net profit growth and market capitalization. The post’s rationale is to combine recent market activity with basic company measures, while avoiding a geographic segment of the market.

The article provides illustrative Python-style selection logic and suggests adding further financial or industry criteria. It warns that the filters are subjective and narrow, omit a broader set of financial measures, and may behave inconsistently as market styles change. It gives no performance results or evidence that the screen predicts returns. The sample code’s data fields and date handling are implementation details that would need checking against the chosen data source before practical use; the stated rules should therefore be treated as a screening proposal rather than a validated trading strategy.

Key ideas

• The proposed screen uses turnover, recent price performance, and an exclusion for Beijing-listed A-shares.
• The post suggests adding net profit growth and market capitalization to refine candidates.
• It identifies subjectivity, limited filters, and changing market styles as risks.
• The document provides no backtest evidence that the screening rules generate returns.

Tags

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