Metaverse Stock Screen Using Volume Ratio and Trading Amount

Summary

This stock-screening proposal first selects Chinese stocks classified in the metaverse industry, keeps those with a volume ratio between 1.5 and 6, and ranks them by trading amount to select five candidates. The article’s opening description refers to auction amount, while its final rule and Python example use the day’s trading amount. The example implements the industry filter, volume-ratio range, descending amount sort, and top-five selection.

The document offers no backtest or evidence that the screen earns returns. It notes that selecting stocks by industry and trading activity omits fundamentals such as profitability and valuation, and that auction-based selection may be unstable and difficult to reproduce. It suggests adding valuation measures and technical indicators for additional context. Those additions are suggestions rather than evaluated improvements, and the source’s ambiguity about which amount measure to rank should be resolved before implementation. The method is a candidate-selection rule, not a complete trading strategy: it does not specify entries, exits, or position sizing.

Key ideas

• The screen selects metaverse-industry stocks with volume ratios within a stated range.
• It ranks qualifying stocks by trading amount and keeps the top five.
• The description differs on whether ranking uses auction amount or daily trading amount.
• The article provides no backtest evidence and cautions that activity-based selection may be unstable.
• The screen does not define trade timing, exits, or position sizing.

Tags

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