Screening Chinese Stocks by Metaverse Theme, Trend, and Turnover

Summary

This post outlines a stock selection screen based on three stated conditions: association with the metaverse theme, an upward-sloping 30-day moving average, and turnover between 2% and 9%. The accompanying indicator references and Python example illustrate how to check concept membership, compare the moving average with its prior value, and apply turnover bounds. The post suggests adding company fundamentals and liquidity measures for further screening.

It provides no backtest, performance figures, or evidence that the criteria predict returns. It also notes that historical selection rules may fail under changing market conditions and that supply, demand, and policy shifts can affect outcomes. The code’s moving-average comparison uses the previous rolling average, which differs from the prose’s potentially ambiguous description of an upward 30-day average. Treat the criteria as a basic screening recipe; the document does not specify position sizing, rebalancing, execution, or risk controls.

Key ideas

• The screen combines a metaverse theme filter with a rising 30-day moving average.
• It selects stocks with turnover between 2% and 9%.
• The example code demonstrates concept, price-trend, and turnover filters.
• The post offers no performance evidence or backtest for the selection rules.
• It suggests adding fundamental and liquidity measures, while warning that market conditions can change.

Tags

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