Metaverse Stock Screen Using Turnover and Recent Price Gains

Summary

The post describes a Chinese-equity screening rule for stocks associated with the metaverse theme. It selects names whose actual turnover rate on the prior day is between 3% and 28%, and whose ten-day gain is positive but below 35%. The stated rationale is to combine thematic exposure and recent trading activity with a positive, bounded price move. It gives equivalent screening expressions and a Python example intended to retrieve and filter stock data.

The post cautions that the metaverse sector is uncertain and that the screen omits financial and technical factors; it suggests adding measures such as market capitalization or return on equity. The example code appears inconsistent with the stated rule: it filters a daily percentage-change field rather than calculating the specified ten-day return, so it may not implement the described screen as written. No backtest, return evidence, or risk-adjusted results are reported, and the strategy’s performance is therefore unestablished.

Key ideas

• The screen focuses on stocks classified in the metaverse theme.
• It requires prior-day actual turnover between 3% and 28% and a positive ten-day gain below 35%.
• The stated rationale combines thematic exposure, trading activity, and a bounded recent price increase.
• The post identifies sector uncertainty and the omission of other financial and technical measures as limitations.
• The Python example filters daily percentage change, which does not match the stated ten-day return condition.

Tags

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