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Selecting Chinese Beverage Stocks by Turnover and Afternoon Flows

Article SuperMind

Summary

This post describes a Chinese stock screen combining a beverage and alcohol industry classification with turnover between 3% and 12% and positive afternoon large-order net flows. Its accompanying indicator and Python examples express the screen through sector membership, money-flow data, and an afternoon price condition; the latter code checks for a close above the open. The examples are references for implementing the stated selection logic, not a reported performance study.

The author cautions that the screen omits company fundamentals and financial data, so industry and flow signals alone do not establish investment quality or control risk. The suggested improvement is to add valuation or other fundamental measures. The post gives no backtest results, comparison, or evidence that the criteria predict returns, and its descriptions of the industry and flow fields may depend on the platform's data definitions.

Key ideas

  • The screen combines beverage and alcohol sector membership with turnover between 3% and 12%.
  • It requires positive afternoon large-order net inflow and uses an afternoon price condition in the examples.
  • The post provides indicator and Python examples but reports no performance evidence.
  • The author notes that the screen excludes fundamentals and suggests adding company financial measures.

Tags

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