Metaverse Stock Screening with Opening Auction Turnover

Summary

This Chinese-language post gives a rule-based screen for stocks in the metaverse theme. It selects names whose price change by 9:25 is below 6% and whose previous-day opening-auction turnover rate exceeds 0.26. The author frames auction turnover as a way to identify more active stocks, but the document does not provide a backtest or measured evidence that the filter improves returns.

The post includes formula and Python examples for screening the conditions, along with a warning that the rule may over-rely on recent technical behavior and market sentiment while overlooking company fundamentals. It also notes that auction turnover readings may be distorted by events such as trading suspensions or price limits. The suggested refinements are to add financial and other market variables and check the quality of the underlying data. The supplied examples leave room for interpretation about how the 9:25 price change and auction turnover are calculated, so implementation and data definitions need careful verification.

Key ideas

• The screen focuses on stocks classified in the metaverse theme.
• It requires a 9:25 price change below 6% and previous-day auction turnover above 0.26.
• The post provides indicator and Python examples, but no performance evaluation.
• The author cautions that the rule may neglect fundamentals and depend heavily on recent market behavior.
• Auction data can be affected by suspensions, price limits, and data quality; added factors are suggested.

Tags

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