A-Share Screening with Metaverse Membership, Dragon-Tiger Activity, and Auction Turnover
Summary
This A-share screening rule selects stocks in the metaverse sector that appeared on the previous day’s Dragon-Tiger list and had previous-day auction turnover above 0.26. The document explains auction turnover as activity during the opening call auction and presents it as a way to identify stocks with increased trading activity. It also gives example indicator logic and a Python-based screening outline, though the examples do not establish that the data fields or conditions are implemented correctly.
The article warns that the screen relies on technical and trading activity signals, so it may miss fundamentals and may flag turnover caused by events such as institutional rebalancing or price promotion. It suggests combining the screen with other technical indicators, financial data, and industry trends, and adjusting the turnover threshold. No backtest, performance evidence, or validation of the proposed rule is provided.
Key ideas
- The screen targets metaverse stocks with a previous-day Dragon-Tiger listing and auction turnover above 0.26.
- Auction turnover is used as a measure of activity during the opening call auction.
- High auction turnover can have several causes and does not by itself establish investment value.
- The article recommends combining the screen with technical, financial, and industry information.
- The document provides no backtest or evidence of screening performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.