A Metaverse Stock Screen Using Turnover and Auction Activity

Summary

This post outlines a Chinese equity screen that selects stocks associated with the metaverse theme when prior session actual turnover falls between 3% and 28%, and previous day auction turnover exceeds 0.26. It interprets the turnover filters as rough proxies for liquidity, capital activity, and investor attention, then suggests adding price and volume analysis, fundamental measures, industry outlook, and dynamic stop losses.

The document provides example screening expressions and a Python implementation sketch, but it does not report a backtest, portfolio returns, benchmark comparison, or evidence that the proposed interpretation predicts performance. Its sample code uses different data sources and proxy calculations from the named screening logic, so the implementation should not be assumed to reproduce the intended auction and turnover measures. The post also warns that turnover changes can undermine selection and that the screen omits company fundamentals and sector prospects.

Key ideas

• The screen targets metaverse themed Chinese stocks using prior session turnover and auction turnover thresholds.
• The post treats trading activity as a proxy for liquidity and market attention.
• It proposes combining activity filters with technical and fundamental analysis and risk controls.
• The document gives no performance evidence or backtest results.
• The sample implementation may not calculate the stated measures consistently.

Tags

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