A Metaverse Stock Screen Using Turnover, Listing Age, and Market Capitalization

Summary

This Chinese-language post outlines a Chinese A-share screening rule for stocks associated with the metaverse theme. It initially selects shares with prior-day turnover above 8% and more than a year since listing, then adds a market-cap filter targeting the lowest quarter of companies by capitalization. The post gives example expressions and a Python-style workflow for retrieving sector, daily market, and listing data.

The rationale is that turnover may signal trading activity and that the listing-age condition excludes newer issues. The author cautions that the screen can be affected by news-driven volume spikes, elevated prices, and its dependence on a single theme. It also omits company financials and other measures of business value. Suggested refinements include adding market-cap and financial criteria and filtering unusually volatile stocks. The document provides no historical returns, benchmark comparison, or evidence that the final screen is profitable; its code references should be checked for data definitions and implementation accuracy before use.

Key ideas

• The screen combines metaverse-sector membership with prior-day turnover above 8% and a listing history longer than one year.
• The proposed final rule adds a filter for stocks in the lowest quarter by market capitalization.
• Turnover can reflect activity but may also surge in response to important news.
• The method does not incorporate company fundamentals or provide backtest evidence.

Tags

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