Screening Metaverse Stocks by Turnover and Moving Averages

Summary

This Chinese A-share screening example starts with stocks classified in the metaverse theme. Its stated final rules require yesterday’s turnover to exceed 8%, the 30-day moving average to be above the 50-day moving average, and market capitalization to exceed 1 billion yuan. The moving-average comparison is intended to identify stocks with a rising intermediate trend, while the turnover threshold selects for recent trading activity. The article also gives example formula and Python approaches for applying the filters.

The document offers no historical performance results or evidence that the screen predicts returns. It explicitly cautions that the rules use few indicators, omit other technical and fundamental information, and may be overfit; it suggests adding volume or fundamental data. The implementation examples do not align fully with the stated rules: the Python example checks a prior-day traded-value threshold rather than the stated turnover threshold, and its capitalization condition differs from the stated final rule. These discrepancies mean the code should not be assumed to reproduce the described screen without review.

Key ideas

• The screen focuses on stocks assigned to the metaverse theme.
• The stated rules require yesterday’s turnover to exceed 8% and the 30-day average to exceed the 50-day average.
• The final screen adds a market-capitalization floor of 1 billion yuan.
• The article warns that a small set of filters can omit relevant information and may be overfit.
• The sample code does not implement all stated screening conditions consistently.

Tags

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