A Chinese Stock Screen Combining Volatility, Momentum, and Moving Averages

Summary

This Chinese-language post proposes a stock-selection screen built around price movement and moving-average behavior. Its initial description calls for amplitude above one, at least one daily gain of ten percent or more within the last twenty-five trading days, and overlap among at least five moving averages. The later refined version adds a market-value floor and describes short moving averages crossing longer averages, alongside longer-period averages. The accompanying indicator and Python examples attempt to encode these conditions.

The post argues that the screen may find volatile stocks with recent upward momentum and trend support, but it offers no backtest, performance statistics, or evidence that the criteria predict returns. It flags risks from relying on historical averages, emphasizing short-term gains, and using many filters that may shrink the candidate set. It suggests adding financial and industry information, adjusting average requirements, and tailoring conditions by sector. The supplied logic is not fully consistent across sections: the final screen differs from the initial wording, and the example code does not clearly implement every stated condition. Treat it as a screening hypothesis that needs precise definitions and out-of-sample testing.

Key ideas

• The proposed screen combines large price swings, recent sharp gains, and moving-average conditions.
• A later version adds a market-capitalization threshold and specifies moving-average crossovers.
• The post identifies risks from short-term focus, stale averages, and overly restrictive filters.
• It recommends adding fundamental context and tailoring criteria to different sectors.
• No performance evidence is supplied, and the written rules and sample implementations do not fully align.

Tags

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