Screening Chinese Metaverse Stocks by Auction Net Buying and Float Size

Summary

This stock-selection idea screens for companies in the Metaverse concept group, with positive net buying attributed to major participants during the auction and a circulating share count no greater than 5.5 billion. The document frames concept membership as a way to target a popular sector, auction net buying as a flow signal, and float size as a company-size filter. It includes example formula references and a Python sketch intended to retrieve and filter Chinese stock data.

No historical test, portfolio construction method, execution rules, or measured returns are provided. The document itself cautions that concept popularity may not persist, auction net-buying data may not capture the full market, and float size can change through corporate actions. It also notes potential data timing and accuracy issues, and suggests adding indicators and checking for anomalous data. The example code's data fields and market-flow query do not fully demonstrate that each stated screening condition is consistently measured, so the selection rule should be independently verified before use.

Key ideas

• The screen combines Metaverse concept membership, positive auction net buying, and a circulating-share ceiling.
• The stated float limit is 5.5 billion shares.
• The document offers formula references and a Python example, but no backtest or return evidence.
• Concept popularity, auction-flow measures, changing share counts, and data quality are identified as limitations.
• The proposed improvements include adding risk controls, monitoring market conditions, and checking data anomalies.

Tags

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