Screening Metaverse Stocks by Float and Share Price

Summary

This document describes a rule-based screen for Chinese equities in the metaverse sector. It selects companies with a circulating share count no greater than 5.5 billion and a share price below 12. The proposed rationale is to narrow the search to a particular industry while using float and price as simple filters; it gives a short Python example intended to return matching stock codes and names.

The article notes that the screen does not assess company earnings or other fundamentals, and suggests adding measures such as valuation and dividend yield as well as deeper industry analysis. Its sample code and data fields are presented without a backtest, performance evidence, or discussion of data quality, and the example does not explain how industry membership is established. The rules therefore describe a basic candidate filter, not a complete investment process or evidence of expected returns.

Key ideas

• The screen targets metaverse-sector equities with circulating shares at or below 5.5 billion.
• It also requires a share price below 12.
• The filters rely on sector, float, and price rather than company fundamentals.
• The author suggests adding valuation and dividend measures and researching industry trends.
• No performance evidence is provided, and the code's data assumptions are not explained.

Tags

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