A-Share Screen Combining Metaverse Membership, Long-Term Trend, and Opening Gap

Summary

This stock-selection example screens China A-share names for three conditions: membership in the metaverse theme, a prior close at or above the 250-day moving average, and an opening auction return between negative two and positive five percent. The article frames the moving average as a long-term price filter and the auction change as a check on the opening move. It includes formula references and a Python illustration of retrieving stocks and applying the conditions.

The source flags market volatility and the potential for misleading signals from volatile pre-open trading, and suggests adding indicators such as MACD or analyzing auction behavior further. It does not present backtest results, define how thematic membership is maintained over time, or establish that the filters predict returns. The sample code also contains data and implementation choices that would need review before use in research or live trading.

Key ideas

• The screen requires metaverse theme membership and price at or above the 250-day moving average.
• It filters for an opening auction return between negative two and positive five percent.
• The article identifies market volatility and noisy auction prices as risks.
• It proposes additional indicators or auction analysis but supplies no evidence of improved performance.
• The example code and data choices need validation before practical use.

Tags

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