A Metaverse Stock Screen Using Volume, Strength, and Concentration

Summary

This post outlines a China A-share screening approach focused on companies classified in the metaverse industry. Its final version combines a volume ratio between 1.5 and 6, market capitalization above one billion yuan, a top-100 relative-strength ranking, and a limit on the concentration of major shareholders’ holdings. The post also includes example implementations for stock-screening platforms and Python, though the rule descriptions and code are not fully consistent in every detail.

The author frames the industry filter as a thematic preference and the concentration condition as a way to seek greater dispersion. Suggested refinements include adding valuation and financial measures and using technical conditions to constrain market risk. The post provides no backtest, return series, or evidence that the screen is profitable. Its own caveats include the risk of following a theme without sufficient analysis, overlooking valuation, and ending up with an overly dispersed selection; implementation details should also be checked against the intended data definitions.

Key ideas

• The screen targets metaverse-sector stocks and applies a bounded volume-ratio filter.
• The final rules also require a minimum market capitalization, a high relative-strength rank, and low shareholder concentration.
• The post suggests adding valuation, financial, and technical criteria to make the screen more complete.
• It supplies example platform and Python implementations, but does not report backtest evidence.
• The author cautions that thematic selection can overlook valuation and that concentration filters can over-diversify the picks.

Tags

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