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Screening Chinese Stocks by Turnover, Order Flow, and Institutional Activity

Article SuperMind

Summary

This stock selection example combines three filters: turnover between three and twelve percent, outside volume greater than 1.3 times inside volume, and a positive institutional direction measure. The article frames turnover as a liquidity or activity signal, the outside-to-inside volume ratio as a clue about trading participation, and institutional direction as an indication of large investor activity. It includes a database-style selection query and a Python example; the Python version also restricts codes to those beginning with 60.

The author notes that the institutional measure may be incomplete and that choosing indicators and thresholds is subjective. Requiring all conditions at once may also produce few candidates. Additional technical and fundamental measures are suggested, but the article presents no backtest, performance evidence, or validation of these proxies. The selection rules are therefore an illustrative screen rather than evidence that the selected shares will outperform.

Key ideas

  • The screen requires turnover between three and twelve percent and outside-to-inside volume above 1.3.
  • It also requires a positive institutional direction measure.
  • The Python example adds a stock-code prefix condition for codes beginning with 60.
  • Missing institutional data and subjective thresholds can limit or bias the selection.
  • The article gives no backtest evidence that the screen predicts returns.

Tags

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