Chinese Stock Screening with Turnover, Fund Holdings, and a Rising Average

Summary

This post describes a Chinese equity screen that combines a turnover-rate band, a beverage and alcohol industry filter, and positive fund-holding changes. Its proposed final logic also asks for a rising 30-day moving average. Formula and Python examples illustrate how to filter stocks by industry, compare fund portfolio holdings across reporting periods, and apply a turnover threshold. The examples show a screening workflow rather than a complete entry and exit strategy.

The post notes that the industry restriction may be too narrow and that fund buying does not predict future company performance. It also acknowledges that the screen omits company fundamentals and may identify poor entry timing. Suggested refinements include broader industry coverage, financial measures, and technical indicators such as RSI or MACD. No backtest, performance evidence, or risk-adjusted results are provided. The formula and Python snippets appear to use different data and logic in places, so the screening definitions would need to be checked before implementation.

Key ideas

• The proposed screen combines turnover, a beverage and alcohol industry filter, fund-holding changes, and a rising 30-day average.
• The post presents formula and Python examples for applying these filters to Chinese stocks.
• Positive fund-holding changes are treated as a selection input, not as proof of future performance.
• The author flags narrow industry coverage, missing fundamentals, and mistimed entries as risks.
• No measured strategy results are supplied, and the code examples may not implement identical logic.

Tags

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