Metaverse Stock Screen Using Float Size and Moving Average Crossover

Summary

The document proposes screening Chinese A-share stocks in the metaverse sector using a float-size ceiling of 5.5 billion shares and a condition that the 20-day moving average exceed the 120-day moving average. The moving-average comparison is intended to identify stocks with stronger recent price trends. The article includes brief indicator definitions and a Python outline that iterates through stock data, retrieves moving averages, and returns securities passing the filters.

The article gives no historical test, benchmark, return statistics, or evidence that the sector and technical filters identify future winners. It cautions that the approach relies heavily on recent price behavior and does not adequately account for company fundamentals or ownership concentration. It recommends combining the screen with financial measures and industry analysis. The implementation notes also mention handling missing float-size data, while leaving data validity, update timing, and transaction costs unaddressed.

Key ideas

• The screen focuses on metaverse-sector A-shares with float size at or below 5.5 billion shares.
• It requires the 20-day moving average to be above the 120-day average.
• The longer-term average comparison acts as a trend filter.
• The article warns that price-based screening can overemphasize recent performance and omit fundamentals.
• No historical 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.