A Metaverse Stock Screen Using Size and Valuation Filters

Summary

The post describes a China A-share stock screen for metaverse-related companies listed on the Shenzhen main board. Its stated filters combine a minimum circulating market capitalization with positive price-to-earnings and price-to-book ratios capped at specified levels. The accompanying sample formulas translate the screen into spreadsheet-style conditions and outline a Python workflow: obtain a stock snapshot, filter by market value and valuation ratios, then retain securities whose industry classification contains the metaverse label. The post recommends broadening the fundamental inputs with measures such as dividend yield or revenue growth and loosening valuation bounds to reduce concentration.

The stated selection criteria are not fully consistent across the text: it first specifies a market-cap threshold of 100 hundred-million yuan, while the formula uses 1 billion, and the final prose rounds the valuation limits. The Python snippet also contains a questionable argument in its data retrieval call, and no selected-stock results, backtest, or return evidence is supplied. The author warns that valuation ratios may not capture value fully and that narrow screens can concentrate capital in a small number of stocks, increasing single-name exposure.

Key ideas

• The screen selects metaverse-related Shenzhen main-board shares using market capitalization and valuation-ratio limits.
• The described workflow applies filters to a stock snapshot and then uses an industry classification to identify metaverse names.
• The post suggests adding other fundamentals and relaxing ratio bounds to reduce concentration.
• The threshold in the prose conflicts with the market-cap value in the formula, and the final rules are rounded.
• No portfolio performance or backtest evidence is presented.

Tags

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