A Volume-Ratio and Moving-Average Screen for Metaverse Stocks

Summary

The document describes a China equity screening idea focused on stocks classified in the metaverse industry. It combines a relative volume filter, a bounded prior-day turnover rate, and a moving-average condition intended to select shares showing recent activity and a bullish longer-term price structure. The post also includes reference logic and a Python sketch for applying parts of the screen to stock data.

The selection rule is presented as a screening template, not as a tested trading system. The post warns that it omits fundamental measures such as valuation and profitability, and that turnover can reflect shifts in liquidity and market sentiment. It suggests adding fundamental and technical inputs and adapting the criteria to market conditions. The code sketch has implementation gaps and its described filters do not map perfectly to every stated rule, so the material does not establish reproducible performance or demonstrate that the screen predicts returns.

Key ideas

• The screen starts with stocks assigned to the metaverse industry.
• It filters for relative volume within a specified range and prior-day turnover within stated bounds.
• A moving-average relationship is used as an additional price-trend condition.
• The post identifies missing fundamental analysis and sensitivity to liquidity and sentiment as limitations.
• The code is presented as a reference sketch rather than evidence of validated performance.

Tags

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