Metaverse Stock Screening with Auction Net Buying and Company Filters

Summary

This post outlines a stock-selection rule for Chinese equities that combines membership in the metaverse theme, positive net buying by major participants during the opening auction, and a company-type condition. Its accompanying explanation presents thematic exposure as the universe filter, auction flows as a demand signal, and company classification as an additional screen. The post includes sample formulas and Python code, but the stated company-type condition is not clearly aligned with the financial-data fields used in that example, leaving the implementation ambiguous.

The author warns that the screen relies on a small set of criteria and on market data that may be delayed or inaccurate. The post recommends broader risk assessment, more indicator research, and combining multiple selection approaches. It provides no backtest or evidence that the rule achieves its stated investment aims; those aims should therefore be read as motivation, not demonstrated outcomes. The example is best understood as a basic screening proposal whose data definitions and execution would need careful validation.

Key ideas

• The proposed universe consists of stocks associated with the metaverse theme.
• The screen requires positive net buying by major participants during the opening auction.
• A company-type condition is included, but its example implementation is unclear.
• The author notes that the screen uses few factors and may depend on imperfect or stale data.
• No performance results or risk-adjusted evidence are supplied.

Tags

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