Selecting Metaverse Stocks with a Ten-Day Moving Average and Auction Turnover

Summary

The document describes a Chinese equity screening rule that combines a Metaverse industry classification with a price condition around the ten-day moving average and prior-day auction turnover above 0.26. Its stated rationale is to combine an industry theme with a short-term price signal and elevated auction activity, which the author interprets as possible investor interest. It also provides an indicator-style expression and a Python example intended to identify eligible stocks using market data.

The article warns that these inputs are short-term and omit longer-term industry prospects and company fundamentals. High auction turnover may reflect speculation or portfolio rebalancing rather than stable positive sentiment. It suggests adding fundamental and trend measures, but gives no backtest, performance statistics, or evidence that the screen predicts returns. The Python example does not exactly mirror every described condition: it uses prior-day price change and turnover ratio, averages recent open prices, and compares the latest open with that average. Data availability, timing, and implementation details therefore matter when reproducing the screen.

Key ideas

• The screen targets stocks classified in the Metaverse industry.
• It looks for an opening price near or above a ten-day moving average and prior-day auction turnover above 0.26.
• The author treats elevated auction turnover as a possible sign of interest, while acknowledging that it may also reflect speculation or rebalancing.
• The rule omits company fundamentals and longer-term industry conditions.
• The article provides no backtest or evidence of predictive performance.

Tags

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