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Screening Stocks by Turnover, Large-Order Flow, and Trading Balance

Article SuperMind

Summary

This article proposes selecting Chinese A-share stocks with turnover between 3% and 12%, a negative product of daily price change and large-order net flow, and an outside-to-inside trading volume ratio above 1.3. It supplies indicator-style and Python examples, with the Python version grouping price data by stock and applying the conditions to the latest observation. The article interprets the combination as a way to find shares with active trading and potential short-term interest.

No backtest, sample period, or performance evidence is given. The explanation also describes the outside/inside ratio as foreign investor activity, which the listed measure alone does not establish. The examples have apparent implementation mismatches: the indicator formula uses volume comparisons as a proxy, while the prose specifies an outside/inside ratio, and the Python expression for that ratio appears inconsistently indexed. The article acknowledges that the screen omits company fundamentals and recommends adding financial and industry analysis.

Key ideas

  • The proposed screen combines a turnover band, price change multiplied by large-order net flow, and an outside-to-inside volume ratio.
  • The Python example applies the conditions to the most recent observation for each stock.
  • The article presents the signals as indicators of short-term trading activity but supplies no performance evidence.
  • The indicator and Python examples do not fully match the stated outside-to-inside ratio condition.
  • The article notes that fundamentals are omitted and suggests adding financial and industry analysis.

Tags

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