A China A-Share Screen Using Turnover, IPO Year, and Company Size

Summary

The post describes a rule-based stock screen that selects shares with turnover between 3% and 12%, an IPO year of 2021, and a size threshold above 200 million. Its accompanying Python example filters a retrieved stock list using IPO year, issuance-related fields, valuation-related bounds, and the turnover range. The core idea is a simple screen for newer, relatively large companies with moderate trading activity.

The post offers no performance data or backtest results, so it does not show whether the criteria produce attractive returns. It acknowledges that the screen relies on few inputs and omits company finances, industry context, management, and growth prospects. It suggests adding measures such as PEG and ROE and considering market capitalization and qualitative company information. The example also depends on a particular data source and field interpretation, so implementation would require checking data definitions and point-in-time availability before evaluating the strategy.

Key ideas

• The screen filters for a stated turnover band, a 2021 IPO year, and size above a threshold.
• The example applies additional IPO and valuation-related field bounds when forming the stock list.
• The post provides no returns, risk statistics, or backtest evidence for the selection rule.
• Its own discussion notes that financial condition, industry, management, and growth are omitted.
• Additional quantitative and qualitative inputs could broaden the evaluation of selected firms.

Tags

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