Screening Chinese Metaverse Stocks by Daily Return and Turnover

Summary

This stock screen selects companies classified in the metaverse industry when their latest daily return is positive and their daily trading volume exceeds 21% of total shares. The article describes the turnover ratio as a measure of liquidity and provides corresponding screening conditions alongside a Python example that applies the industry, return, and volume filters. The method is a one-day cross-sectional filter, not a complete portfolio or trading system: it does not specify entry timing, exit rules, position sizing, or how selected stocks should be ranked.

The article cautions that the volume-to-shares ratio can change with market conditions and that high turnover may coincide with difficult execution or prices differing from expectations. It suggests adding financial data, technical indicators, and fundamental analysis, but reports no backtest, performance results, or validation of the proposed thresholds. The example also relies on data sources and fields whose precise definitions and availability are not established in the text, so the screen’s practical reliability remains uncertain.

Key ideas

• The screen targets Chinese stocks classified in the metaverse industry.
• It requires a positive daily return and trading volume above 21% of total shares.
• The article treats volume relative to shares as a liquidity-related measure.
• It warns that changing turnover and constrained liquidity can impair execution.
• No backtest or evidence is supplied to validate the thresholds.

Tags

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