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Chinese Stock Screen Using Turnover, K Value, and Daily Return

Article SuperMind

Summary

This stock-selection example filters Chinese equities by a turnover rate between 3% and 12%, a K indicator below 20, and a daily price change between -5% and 2.6%. The article presents the screen as a way to find stocks with potential, then suggests adding financial condition, business outlook, and industry trends to improve the selection process.

It includes references to a stock-screening formula and Python code intended to apply the conditions using market data. No backtest, return series, benchmark comparison, or evidence of predictive value is provided. The text also acknowledges that relying on a few screening indicators may omit important drivers of price movements. The stated long-term investment rationale therefore goes beyond what the listed quantitative filters alone establish; readers would need to validate the data definitions, implementation, and results before relying on the screen.

Key ideas

  • The screen combines turnover between 3% and 12%, a K value below 20, and daily returns from -5% to 2.6%.
  • The article recommends supplementing technical filters with financial and industry analysis.
  • It provides formula and Python implementation references for constructing the screen.
  • The document reports no backtest or performance evidence for the selection rules.
  • A small set of indicators may omit other factors that influence stock prices.

Tags

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