Screening Metaverse Stocks by Volume Ratio, Price Change, and P/E

Summary

This stock-selection rule screens companies associated with the metaverse theme using a volume-ratio band, a short-term price-change range, and a positive price-to-earnings ratio below a stated ceiling. The post gives both an indicator-style selection expression and a Python sketch that checks industry classification, trading status, recent volume, current price change, and valuation. It also suggests adding fundamental measures and longer-term trend signals when assessing selected stocks.

The document offers a screening recipe, not a tested trading system: it provides no backtest, portfolio construction, entry and exit rules, or measured returns. It explicitly notes that the filters omit broader fundamentals and long-term trends and that the wide daily price-change range may lead to unstable selections. The code is reference material rather than a complete implementation, with omitted checks and data-provider calls whose definitions and reliability are not established in the post.

Key ideas

• The screen focuses on metaverse-related equities with volume ratios between the stated thresholds.
• It filters stocks by a bounded daily price change and a positive P/E below the stated ceiling.
• The post sketches equivalent selection logic in indicator syntax and Python.
• The author identifies missing fundamentals and longer-term trend context as limitations.
• No backtest results, portfolio rules, or trading performance are supplied.

Tags

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