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A-Share Stock Screening with Turnover, Limit-Ups, and Auction Net Buying

Article SuperMind

Summary

This Chinese stock-screening strategy combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and positive net buying by major participants during the opening auction. The article presents a screening expression and a Python example that filters A-share listings, checks market data, and sorts selected stocks by price-to-earnings ratio. Its final description refers to a 14-day auction net-buying condition, while the initial rule describes opening-auction net buying without that lookback, so the exact timing is not fully consistent.

The author frames the rules as a way to combine trading activity, recent price strength, and buying pressure. The article gives no backtest, performance figures, or validation of the data proxies used in the Python example. It also notes that the screen omits company fundamentals and may be vulnerable to unusual market conditions; adding fundamental or technical checks and explicit exit controls is suggested. The listed conditions therefore describe a screening idea, not a demonstrated trading system.

Key ideas

  • The screen requires turnover between 3% and 12%.
  • It looks for at least one limit-up event during the preceding 25 days.
  • Positive opening-auction net buying is included, though the article's descriptions differ on the lookback period.
  • The example ranks selected stocks by price-to-earnings ratio but provides no performance evidence.
  • The author identifies missing fundamental analysis and market changes as risks.

Tags

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