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Chinese Stock Screening with Turnover, Beverage Industry, and Price Filters

Article SuperMind

Summary

This note describes a Chinese equity screen combining turnover, industry classification, and a price comparison. It selects beverage and alcohol import or export stocks with turnover between 3% and 12%, and a closing price above the previous session’s low. The article also presents a revised version that adds a profitability condition, and gives example implementations using a charting formula and Python data from Tushare.

The examples illustrate how to translate selection rules into data filters, but the specifications are not fully consistent: the Python sample uses industry and valuation filters, while the written final rule refers to profitability. No backtest results or performance evidence are provided. The article itself notes that the screen gives limited attention to company fundamentals and broader risks, and suggests adding financial, competitive, industry, and technical factors. The approach is therefore a basic candidate-selection recipe rather than a tested trading strategy; it does not explain portfolio weighting, trade timing, or risk management.

Key ideas

  • The screen combines a turnover band with a beverage and alcohol industry condition and a closing-price comparison against the prior low.
  • A revised version adds a profitability requirement, although the code examples use different fundamental filters.
  • The article provides sample implementations in a charting formula and Python using market data.
  • It reports no backtest or performance results and cautions that simple technical filters omit important company and market factors.

Tags

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