Screening Chinese Metaverse Stocks with Volume, Momentum, and Valuation Filters

Summary

The document presents a Chinese equity screening idea focused on metaverse-related stocks. Its initial criteria combine a volume ratio between 1.5 and 6 with a stated prior-year return threshold. The post then proposes adding a market-cap floor, a forecast profit-growth ranking, and a price-to-earnings filter relative to the industry. It includes examples in platform query syntax and Python, but these implementations do not fully align: the code uses available data fields and current-day changes that may not match the stated historical return and forecast criteria.

The author frames the approach as selecting active stocks with recent strength, then acknowledges that price and trading activity alone omit company fundamentals and capital flows. The proposed valuation and growth filters are intended to broaden the screen, but no backtest, performance evidence, point-in-time data checks, or precise universe definition is supplied. The document also warns that chasing short-term gains can miss durable advances. Treat the screen as an illustrative idea requiring data and logic validation, not as a tested strategy.

Key ideas

• The initial screen targets metaverse-related stocks with volume ratios bounded between 1.5 and 6.
• The post also describes a prior-year return condition and later adds market-cap, forecast-growth, and valuation filters.
• The platform query and Python example do not clearly implement all stated criteria consistently.
• The author notes that price and volume screens omit fundamentals and capital-flow information.
• No backtest or evidence of profitability is provided, and short-term gain chasing is identified as a risk.

Tags

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