A Metaverse Stock Screen Using Positive Auction Net Buying and Market Capitalization
Summary
This Chinese equity screen combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the auction, and market capitalization above 200 million yuan. The post gives corresponding platform formulas and sample Python code intended to identify qualifying shares. It frames thematic membership as a way to focus on a popular sector and auction flow as a near-term buying signal.
No historical returns, benchmark comparison, or backtest methodology are provided, so the stated aim of finding attractive investments is not supported by performance evidence. The post acknowledges that the data may be delayed or imprecise and that three basic filters cannot capture all relevant risks. Its sample code and formulas are illustrative and may require verification against the data platform’s definitions and units. The suggested improvements are broader indicator analysis, fuller risk assessment, and combining multiple selection approaches.
Key ideas
- The screen selects metaverse-related stocks with positive auction net buying and capitalization above 200 million yuan.
- The post includes platform formulas and an illustrative Python implementation.
- It presents no backtest or performance evidence for the screening rules.
- The author flags data quality and the limited coverage of a three-filter screen as risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.