Screening Metaverse Stocks Near the 10-Day Average with Positive Returns

Summary

The document proposes a stock screen for companies in the metaverse industry. It selects stocks whose opening price is near the 10-day moving average and whose latest close is above the previous close. It gives two implementations: a formula using industry membership, moving-average crossings, and positive return, and a Python example that applies a 5% proximity threshold, excludes recently listed firms, and adds a circulating-asset filter. These conditions differ in detail, so the examples are not exact equivalents.

The author characterizes the approach as a simple technical and industry-based screen, and acknowledges that price signals and recent returns may not capture fundamentals, broader market conditions, or industry risks. No backtest, return series, or comparative evidence is supplied. The screen is presented as a starting point for further development; its criteria alone do not establish predictive value or investment suitability.

Key ideas

• The screen focuses on metaverse stocks with an opening price near the 10-day moving average.
• It requires a positive return, measured by comparing the latest close with the previous close.
• The Python example adds listing-age, asset-size, and price-proximity filters.
• The document warns that the simple technical screen omits fundamental, market, and industry-risk information.
• No backtest or performance evidence is provided.

Tags

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