Metaverse Stock Screening with Turnover and Listing Filters

Summary

This post presents an A-share stock screen focused on companies described as connected to the metaverse. Its stated selection logic uses a turnover-rate range of 3% to 12% and excludes Beijing-listed A-shares. The discussion recommends examining companies' business models and product sustainability before selecting or holding candidates. It also identifies early-stage industry development, a limited number of potential leaders, and short-lived speculative attention as risks.

The post includes example screening formulas and a Python implementation that add further filters, including a price-to-earnings threshold, selected industry labels, and specific company-name patterns. Those details make the examples narrower than the headline rule, and the text does not provide backtest results, valuation analysis, or evidence that the screen predicts returns. The post therefore serves mainly as a basic screening example and a list of qualitative cautions; its metaverse classification and filters would need independent review before use.

Key ideas

• The headline screen selects A-shares with turnover between 3% and 12% and excludes Beijing listings.
• The examples add valuation, industry, and company-name conditions beyond the headline criteria.
• The post advises reviewing business models and product sustainability when assessing candidates.
• It warns that the sector is early-stage, with limited potential leaders and scope for short-term speculation.

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