Screening Metaverse Stocks by Opening Price and Float Size

Summary

This stock screen selects companies classified in the metaverse industry whose opening price is near the 10-day moving average and whose circulating share count is no more than 5.5 billion. The article presents both a crossover-style indicator condition and a Python example that compares the latest opening price with the moving average, alongside industry, float, listing-age, and price-history filters.

The screen is a simple rule-based filter rather than a tested trading system. The article gives no performance results or evidence that the selected characteristics predict returns. It warns that relying on float size alone can miss other drivers and that small-float shares may carry higher risk. It suggests adding fundamental, market, and industry data and evaluating float relative to share price. The example also imposes a two-year listing-history filter and requires enough price observations, details that narrow the stated screen.

Key ideas

• The screen combines metaverse industry classification with an opening price near the 10-day moving average.
• It excludes stocks with circulating shares above 5.5 billion.
• The sample implementation adds listing-age and minimum price-history requirements.
• The article offers no backtest evidence and notes that small-float stocks can carry elevated risk.
• Fundamental and market context could supplement the simple screening rules.

Tags

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