A Metaverse Stock Screen Using Volume, Price Shape, and Fundamentals

Summary

This post outlines a Chinese equity screen for companies categorized in the metaverse industry. Its initial filters seek a volume ratio between 1.5 and 6 and a rounded price pattern; the expanded version also requires positive price appreciation over roughly a year, forecast profit growth in the upper half of the comparison group, and a price-to-book ratio below the industry average. It includes examples of how to express the criteria in screening logic and Python.

The post argues that a rounded chart shape and elevated, bounded volume may help identify technically strong candidates, then recommends combining these signals with profitability, management, and industry analysis. It presents no backtest, return figures, or validation of the screening rules. The code examples also use data fields and comparisons whose definitions or implementation may not align fully with the written criteria. The author cautions that technical patterns and volume measures do not capture company quality, sentiment, or liquidity completely, and calls for additional risk assessment.

Key ideas

• The screen targets metaverse stocks with volume ratios above 1.5 and below 6.
• It uses a rounded price shape as a technical selection condition.
• The expanded screen adds relative forecast profit growth, industry-relative price-to-book, and positive year-over-year price change.
• The post gives screening examples but does not report backtest results.
• The author recommends assessing fundamentals, market risks, and liquidity beyond the stated filters.

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