Screening Metaverse Stocks by Positive Returns and Large Float Value

Summary

This note describes a simple Chinese equity screen for companies classified in the metaverse industry. It selects stocks with a positive recent return and circulating market capitalization above 10 billion yuan, favoring larger companies by size. It sketches the criteria in both a platform-style formula and a Python example, with the latter also applying a turnover-ratio range while retrieving prices and company information.

The author says the basic screen is easy to implement but may admit companies with weak short-term performance or uncertain prospects because it does not rigorously assess fundamentals or technical conditions. Suggested refinements include adding valuation and profitability measures such as price-to-earnings, price-to-book, and return on equity, plus indicators such as moving averages or RSI. The document gives no backtest, portfolio construction rules, holding period, or performance evidence. Its code example’s practical reliability is also unclear, and some implementation details do not cleanly match the stated screen, so the rules should be treated as a sketch rather than a validated strategy.

Key ideas

• The screen targets metaverse companies with positive recent returns and circulating value above 10 billion yuan.
• The stated size filter tilts selection toward larger listed companies.
• The note proposes adding valuation, profitability, and technical criteria to refine candidates.
• No backtest or evidence of investment performance is provided.
• The example implementation includes a turnover filter beyond the main stated selection rules.

Tags

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