Metaverse Stocks Above Their Long-Term Average with a Rising 30-Day Average

Summary

This screen focuses on stocks classified in the metaverse theme. It pairs an upward-sloping 30-day moving average with a price above a long-term moving-average threshold. The prose refers to the previous day's price and a 250-day average, while the formula and Python example use close-price comparisons; the Python code also calculates a shifted rolling average for the 30-day condition. These descriptions are not fully consistent, so an implementation should clarify the intended timing and exact series.

The post frames the filters as a way to find stocks in an upward trend, but provides no backtest results or performance evidence. It cautions that simple filters may favor recently popular stocks at elevated prices and can miss other relevant factors. Suggested improvements include adding technical and fundamental checks and defining more careful trading and risk controls, but no tested additions are presented. The screen does not specify complete entry, exit, or portfolio rules.

Key ideas

• The screen limits its universe to stocks assigned to the metaverse theme.
• It seeks an upward-sloping 30-day average and a price above a long-term average.
• The prose and examples differ on the precise price timing and moving-average calculation.
• The post warns that simple trend filters may select popular stocks at elevated levels and omit other factors.
• No performance test or complete trade-management rules are provided.

Tags

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