Selecting Metaverse Stocks by Moving Average and Turnover

Summary

This Chinese stock screening example selects companies classified in the metaverse theme when the five-day moving average is rising and turnover falls between 3% and 12%. It frames the moving-average condition as a sign of upward price movement and the turnover band as a way to focus on stocks with some trading activity and liquidity. The document also gives example screening logic and a Python outline for combining industry, price, and turnover data.

The author identifies several limitations: turnover may admit risky stocks, short-term indicators can miss opportunities, and the screen ignores other relevant information. Suggested refinements include adding fundamental measures, other technical indicators, market capitalization, or industry ranking. No backtest results or performance evidence are reported, and the examples include inconsistent descriptions of comparing price with the moving average, so the precise implementation should be checked before use.

Key ideas

• The screen targets stocks in the metaverse industry classification.
• It requires a rising five-day moving average and turnover between 3% and 12%.
• The stated rationale is to combine upward price direction with trading activity.
• The document recommends adding fundamental, technical, or size filters to address the screen’s narrow criteria.
• No empirical performance results are provided.

Tags

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