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Screening Chinese Stocks by Turnover and IPO Year

Article SuperMind

Summary

The post describes a stock screen that selects shares with turnover between 3% and 12%, an IPO year of 2021, and a listing date later than a specified cutoff. Its accompanying Python example retrieves security data and filters by IPO year, listing date, minimum IPO price, and issuance amount. The article’s final description is not fully aligned with the example, which also applies price and issuance conditions.

The author frames the screen as a way to combine trading activity with listing-age criteria, but supplies no backtest, stock list, or return evidence. The stated caveats are that the filter ignores valuation and growth, relies on historical data, and may be too rigid. It suggests adding industry and market-activity information, though it does not define a tested improvement. The screen is a mechanical selection rule, not a complete portfolio or execution strategy.

Key ideas

  • The proposed screen uses a turnover band and an IPO-year condition.
  • The example also filters by a listing-date cutoff, IPO price, and issuance amount.
  • The article provides no performance evaluation or evidence that the screen predicts returns.
  • The author warns that the rule ignores valuation and growth and may be overly rigid.

Tags

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