A-Share Screen for Metaverse Stocks Using Free Float and Weekly Moving Averages

Summary

This post proposes screening A-share stocks in the metaverse industry with a circulating share count no greater than 5.5 billion, then identifying a weekly bullish crossover in which the five-week moving average rises above the ten-week moving average. It describes the industry filter, float constraint, and crossover as a combined sector, size, and technical approach. The post provides sample formula logic and Python code that checks the latest weekly averages against the prior week.

The document offers no historical test, return figures, or evidence that the screen identifies stocks with reliable rebound potential. It notes that the approach omits company fundamentals, trading volume, and broader market conditions, and recommends considering additional indicators and financial information. The code illustrates how to apply the stated crossover, but the result is a candidate list for further research rather than a validated investment signal.

Key ideas

• The screen focuses on metaverse-sector A-shares with a circulating share count at or below 5.5 billion.
• A signal occurs when the five-week moving average crosses above the ten-week moving average.
• The example code checks whether the crossover has occurred between the latest and preceding weekly observations.
• The screen omits fundamentals, volume, and broader market conditions.
• The post provides no backtest or evidence that the signal predicts returns.

Tags

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