Screening Stocks for High Amplitude, Turnover, and Converging Moving Averages

Summary

This Chinese stock-screening note proposes selecting shares with daily amplitude above 1%, prior-day turnover above 60 million, and five moving averages that coincide. It presents the screen as a way to find active stocks with relatively flat trends, then suggests adding fundamental data and other technical indicators such as stochastic measures. The article also supplies indicator-formula and Python examples, though the examples have implementation ambiguities: the stated prior-day turnover condition is not consistently represented, exact equality among moving averages may be brittle, and the Python rolling calculations are applied to fields presented as single-day market data rather than full price histories.

The note gives no backtest, performance statistics, or evidence that the combination identifies reliable or low-risk investments. It acknowledges that short-term technical filters do not capture company fundamentals, that market volatility can still cause losses, and that selected shares may have limited return potential. Treat the screen as a proposed filter requiring careful data alignment, realistic tests, and independent risk controls.

Key ideas

• The screen combines amplitude above 1%, prior-day turnover above 60 million, and convergence among five moving averages.
• The article interprets moving-average convergence as a sign of a relatively flat price trend.
• It recommends adding fundamental and other technical measures to broaden the selection process.
• The note provides no performance validation and warns that technical filters do not remove market risk.

Tags

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