Screening Metaverse Stocks with Volume and Auction Activity

Summary

This Chinese-language post presents an equity screen focused on stocks classified in the metaverse industry. It combines a volume-ratio range with a condition based on the prior day’s turnover rate multiplied by the ratio of current auction volume to prior-day volume. The stated thresholds are a volume ratio above 1.5 and below 6, with the turnover-based product constrained between 0.5 and 2. The post also gives example implementations for stock-selection tools and Python, though the code’s data handling is not explained in depth.

The author frames volume and turnover as proxies for market attention, while warning that these measures do not fully represent a stock’s prospects and can encourage following market enthusiasm. The turnover calculation may be inaccurate or vulnerable to manipulation. Suggested extensions include technical indicators, fundamental and industry analysis, or more direct sentiment measures. No backtest, return evidence, or out-of-sample validation is provided, so the screen should be treated as a proposed selection rule rather than a demonstrated strategy.

Key ideas

• The screen targets metaverse-sector equities using volume ratio and auction-volume activity.
• It requires a volume ratio between the stated lower and upper thresholds.
• A second condition combines prior turnover with the ratio of current auction volume to prior volume.
• The post warns that volume and turnover are imperfect attention measures and may be manipulated.
• It provides no performance testing or evidence that the screen is profitable.

Tags

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