A-Share Screen for Turnover, Profitability, and Market Capitalization

Summary

This document proposes screening A-shares for turnover between 3% and 12%, total market value below 10 billion yuan, no reported losses, and free-float market value above 1 billion yuan. It frames the combination as a way to narrow the universe by trading activity, company profitability, and market size. The page includes a stock-selection formula and a Python example that queries listed companies, income statements, and daily valuation data.

The article provides no historical test or evidence that these filters lead to better returns. Its stated conditions and code are not fully consistent: the narrative describes free-float market value above 1 billion yuan, while the formula uses a larger threshold, and the code’s conditions do not cleanly implement the stated total and circulating market-value bounds. The author also notes that the screen may yield few stocks and omits other financial and operating characteristics. The criteria should therefore be checked carefully before implementation and treated as a universe filter, not a complete strategy.

Key ideas

• The proposed universe filter combines turnover, profitability, total market value, and free-float market value conditions.
• The page supplies both a screening formula and a Python data-query example.
• No backtest or return evidence is provided for the selection criteria.
• The narrative, formula, and code contain inconsistent market-cap thresholds, so implementation requires verification.
• The document notes that the screen may select few stocks and omits other company and market characteristics.

Tags

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