Screening Metaverse Stocks by Prior Turnover and Auction Buying

Summary

This proposed Chinese equity screen looks for stocks in a metaverse concept group with prior-day actual turnover between 3% and 28%, alongside positive net buying attributed to major participants during the auction. The post frames the turnover range as a way to find stocks with meaningful trading activity and treats positive auction buying as a possible sign of demand. It includes platform formula references and a Python example that filters stock and turnover data before applying a buying-flow condition.

The post gives no backtest or return evidence for the criteria. It identifies market and sector risk, potentially unstable auction activity, and the possibility that repeated filters leave too few candidates. It recommends combining the screen with fundamental analysis and refining the conditions. The Python example uses dated data fields whose correspondence to the stated prior-day turnover and auction measure is not demonstrated, so implementation details require validation.

Key ideas

• The screen focuses on stocks classified in a metaverse concept group.
• It keeps stocks whose prior-day actual turnover is between 3% and 28%.
• It requires a positive measure of major-participant buying during the auction.
• The post flags unstable auction flows and small candidate sets as possible limitations.
• It provides no performance evidence, and the example code’s data alignment is unclear.

Tags

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