Metaverse Stock Screening by Float Size and Region

Summary

This post outlines a simple A-share screen for companies associated with the metaverse theme. It selects stocks with circulating market capitalization at or below 5.5 billion yuan and excludes companies from Beijing. The examples show the conditions in a stock-screening expression and in Python using current market data. The post frames float size as a rough consideration of company scale and liquidity, while the regional exclusion is presented as a way to reduce exposure to location-related policy or concentration effects.

The article does not provide a backtest, portfolio results, benchmark, or evidence that the theme or filters predict returns. It acknowledges that size and region alone can omit important information about businesses, financial health, and technology, and suggests adding such analysis and diversifying across regions. The screen is therefore a basic universe filter rather than a complete investment strategy. The regional exclusion and thematic classification also depend on the accuracy and consistency of the underlying data.

Key ideas

• The screen selects metaverse-related A-share stocks using a circulating market-capitalization ceiling.
• It excludes stocks associated with Beijing.
• The examples illustrate screening with current stock data but provide no performance evaluation.
• The post notes that business, financial, and technical factors are missing from the basic filter.
• The thematic and regional classifications depend on the quality of the source data.

Tags

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