Metaverse Stock Screen Using Turnover and Positive Earnings

Summary

The document presents a Chinese equity screening rule for companies classified in the metaverse industry. It selects stocks whose previous-day actual turnover rate is between 3% and 28% and whose price-to-earnings ratio is positive. It identifies the concept classification, turnover measure, and PE field used by the screening logic, and includes reference implementations for a stock-data platform and a Python workflow that joins industry and daily valuation data.

The text frames turnover as a measure of market activity and positive PE as an indication that a company reports earnings, but it provides no historical portfolio test, return evidence, or selection frequency. It also acknowledges that the screen uses limited company information, that PE alone does not establish value, and that market or policy changes may make its selections unstable. The suggested refinements include considering additional valuation measures, examining company fundamentals, and reviewing selected firms periodically. The criteria define a screen rather than a complete portfolio construction or trading system.

Key ideas

• The screen focuses on stocks classified in the metaverse industry.
• It requires previous-day actual turnover between 3% and 28% and a positive PE ratio.
• The document maps the conditions to data fields and shows example implementation approaches.
• The screen omits broader company fundamentals and provides no backtest results.
• Periodic review and additional company analysis are suggested as possible refinements.

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