Skip to content
All library documents

Screening Main Board Stocks by Turnover and Recent Gains

Article SuperMind

Summary

This note describes a Chinese stock screen using current and prior-day trading activity. It selects main-board stocks with turnover between 3% and 12% today, a daily gain above 1%, and turnover above 8% on the previous day. The accompanying Python example checks the recent turnover and price-change fields, excludes codes marked as ST in its sample logic, and returns qualifying stock codes.

The post frames the conditions as a way to find actively traded shares for short-term trading, while acknowledging that technical filters alone omit company fundamentals and industry conditions. It suggests adding measures such as moving averages or relative strength. The displayed formula does not clearly correspond to all of the stated filters, and the Python sample’s code-based market check is not a complete demonstration of main-board classification. No backtest or performance results are provided, so the proposed rationale remains unverified.

Key ideas

  • The screen combines today’s turnover and price gain with the previous day’s turnover.
  • Its stated thresholds are 3%–12% turnover today, a gain above 1%, and prior-day turnover above 8%.
  • The Python example also excludes codes containing an ST marker.
  • The post notes that technical filters do not capture company fundamentals or industry prospects.
  • The formula and sample code do not fully demonstrate every stated condition, and no performance evidence is given.

Tags

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