Metaverse Stock Screening with Turnover Rate Filters

Summary

This stock-selection rule screens companies associated with China’s metaverse industry using two turnover conditions: the previous day’s actual turnover must fall between 3% and 28%, and the current turnover rate must be between 2% and 9%. The document gives equivalent indicator references and sample Python logic that combines an industry classification with daily turnover data to produce a list of qualifying stocks.

The accompanying rationale treats industry membership as a growth theme and turnover as a rough sign of market activity or attention. It does not present historical returns, a defined holding period, trade execution rules, or a backtest, so the proposed investment potential is unverified. The text itself flags market volatility, competition, technology and policy risks, and the limited ability of historical data to predict future prices. The code also uses a specific example trade date, so it is a screening illustration rather than a complete live strategy.

Key ideas

• The screen targets metaverse-related equities using industry membership and turnover filters.
• It requires previous-day actual turnover between 3% and 28% and turnover between 2% and 9%.
• The document supplies sample indicator references and Python logic for selecting stocks.
• It provides no backtest, holding period, or execution method to establish profitability.
• Industry competition, policy changes, volatility, and historical-data limits are identified as risks.

Tags

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