Screening Metaverse Stocks with Leaderboard Activity and Rising Averages

Summary

This stock screen targets companies classified in the metaverse theme that appeared on the prior day’s trading leaderboard and whose short-term moving averages are ordered upward. The stated formula compares the 5-, 10-, and 20-day simple moving averages, requiring the shortest average to exceed the middle average and the middle to exceed the longest. A Python example also checks that the latest close is above the 5- and 10-day averages.

The article presents this as a short-term momentum-oriented filter and supplies example screening logic, but it does not report backtest results or define how positions are entered, sized, or exited. It cautions that focusing on recent activity can neglect longer-term trends and fundamental information, and that data cleaning and outlier handling matter. The examples are illustrative; the Python snippet’s data and indicator calls are not fully explained, so implementation details would need validation before use.

Key ideas

• The screen combines metaverse industry classification with a prior-day leaderboard appearance.
• It requires the 5-day average to exceed the 10-day average and the 10-day average to exceed the 20-day average.
• The Python example also requires the latest close to exceed the 5-day and 10-day averages.
• The article gives no performance evaluation and warns that a short-term screen omits broader market and fundamental factors.

Tags

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