Screening Metaverse Stocks by Float Size, Positive Earnings, and Technical Filters

Summary

The post describes an A-share screening idea centered on companies classified in the metaverse sector, with a free-float threshold and positive trailing earnings. It also supplies a separate technical formula using price relative to a moving average, volume comparisons, return filters, and rising moving averages. A Python sketch illustrates sector, float, and price-to-earnings filtering, though it does not consistently implement all the formula conditions.

The author flags the limited fundamental coverage and higher volatility associated with smaller stocks, and suggests adding business and valuation measures. No backtest results, performance data, or validation are presented, so the screen should be treated as a candidate rule set rather than evidence of an effective strategy. The text also mixes a float-share threshold with a description of market capitalization, leaving the intended size measure somewhat unclear.

Key ideas

• The central universe is metaverse-sector A-shares with positive trailing earnings and a stated float-size cap.
• A separate technical formula adds price, volume, return, and moving-average conditions.
• The Python example does not clearly reproduce every condition in the stated formula.
• The post warns that the screen may omit important company fundamentals and select volatile smaller stocks.
• No historical test or performance evidence is supplied.

Tags

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