Selecting Metaverse Stocks by Float Size and Auction Turnover

Summary

This Chinese A-share screening idea filters for stocks classified in the metaverse industry, limits circulating shares to at most 5.5 billion, and selects the five with the highest amount traded in the current day’s opening auction. The article provides a Python example that retrieves stock data, applies the industry and float filters, sorts by a turnover-related field, and returns the top five.

The stated rationale is to focus on smaller-float names with active trading and potentially easier entry and exit. The method prioritizes trading activity over valuation or company quality, and the article warns that it omits fundamentals such as valuation and debt. It also notes that unusually high trading volume can distort the ranking. No backtest or returns evidence is presented, and the sample code’s field names do not establish that it measures opening auction value exactly as described.

Key ideas

• The screen selects metaverse stocks with circulating shares at or below 5.5 billion.
• It ranks qualifying stocks by current-day opening auction turnover and keeps the top five.
• The Python example shows filtering and sorting, but the cited turnover field may not represent auction value precisely.
• The method omits fundamental measures and may be affected by abnormal trading activity.
• No backtest or realized performance evidence is provided.

Tags

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