Screening Metaverse Stocks by Turnover and Daily Gains

Summary

This Chinese-language post describes a short-term screen for main-board stocks classified in the metaverse sector. It selects stocks whose actual turnover rate two trading days earlier was between 3% and 28%, and whose current-day gain exceeds 1%. The post presents the conditions as a way to find liquid stocks with positive short-term price action, and gives equivalent examples in a stock-screening formula and Python using market data.

The rationale is descriptive rather than tested: the author suggests that sector exposure may offer growth potential, turnover may indicate liquidity and market interest, and a daily rise may indicate near-term strength. No backtest, benchmark, or performance evidence is provided. The Python example also does not implement every stated condition: it filters industry and open-to-close gains, but does not calculate the prior-day turnover range or explicitly restrict the results to main-board stocks. The post flags reliance on technical conditions and market shocks as risks, and suggests adding fundamental measures. The screen is therefore a rule sketch, not validated evidence of a profitable strategy.

Key ideas

• The screen targets metaverse-sector main-board stocks with prior actual turnover between 3% and 28% and a current-day gain above 1%.
• The stated rationale combines sector exposure, liquidity, and short-term price strength.
• The document provides screening-formula and Python examples, but the Python example omits key stated filters.
• No backtest or measured performance is supplied, and the post identifies market risk and technical-only analysis as limitations.

Tags

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