Chinese Stock Screening with Metaverse, Auction Flows, and Turnover

Summary

This Chinese-language post describes a stock screen combining three conditions: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and prior-day turnover above 60 million. It frames the theme as a way to focus on a market sector in favor, the auction flow as a short-term demand signal, and turnover as a liquidity and attention filter. The post includes references to implementing the screen in a Chinese stock platform and Python, but the code examples are illustrative rather than a validated research procedure.

The author flags data quality, weak risk controls, and changing themes or money flows as sources of error, and suggests refining the factors and adding risk analysis. No backtest, benchmark, return series, or evidence that the screen improves outcomes is supplied. The selection rationale is therefore a hypothesis, and it does not establish that the conditions predict future performance or account for trading costs and execution constraints.

Key ideas

• The screen selects stocks associated with the metaverse theme.
• It requires positive net buying attributed to major participants in the opening auction.
• It filters for prior-day turnover above 60 million as a liquidity and attention proxy.
• The post identifies unstable market themes and data quality as risks.
• No performance testing is reported, so the proposed investment potential remains unsubstantiated.

Tags

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