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Screening Chinese Stocks by Turnover, Large-Order Flow, and Auction Buying

Article SuperMind

Summary

This post proposes a Chinese equity screen requiring turnover between 3% and 12%, a positive product of the day's percentage change and super-large-order net quantity, and positive net buying by major participants during the opening auction. Its indicator example adds a super-large-order ratio threshold, a volume-rate condition, and an A-share code filter. The Python reference implements related checks using price-change, order-flow, auction, turnover, and code fields. These implementation details do not map perfectly onto the prose, so the exact screen depends on how the data fields are defined.

The explanation interprets the conditions as seeking stocks with trading activity and buying pressure, but it provides no backtest, return data, or comparison with a benchmark. It warns that the screen omits company financials and may be affected by market fluctuations, industry competition, or misleading auction positioning. It suggests combining the signals with fundamental measures and additional technical filters. The material is a screening recipe rather than evidence that the selected shares have positive expected returns.

Key ideas

  • The proposed screen uses a 3% to 12% turnover range, a positive price-change and order-flow product, and positive auction net buying.
  • The indicator and Python examples add volume, order-flow ratio, and stock-code conditions.
  • The article offers no performance results and the examples do not fully align with the prose description.
  • The author highlights missing fundamentals and uncertainty in interpreting auction and flow signals.

Tags

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