Screening Metaverse Stocks by Range and Five-Day Moving Average

Summary

This stock screen combines a price-range filter, a five-day moving-average condition, and a metaverse-related classification. It selects shares whose high-to-low range, measured against the previous close, exceeds a threshold; whose closing price is above its five-day average; and whose company description or industry classification matches areas such as virtual reality, gaming, or NFTs. The post gives example implementations using a platform formula and Python, but does not provide a backtest, a defined universe, or performance evidence.

The threshold is ambiguous across the examples: the prose and platform formula use a value above one, while the Python example uses 0.01, equivalent to one percent under the stated ratio. The post also warns that metaverse classifications can be vague and that enthusiasm around the theme may bring speculation and high volatility. It suggests narrowing the theme into more specific industries and considering sector heat. These conditions describe a candidate-selection rule, not a complete trading strategy: there are no entry timing, exit, sizing, or risk-control rules, and the sample code may need adaptation to data and platform conventions.

Key ideas

• The screen requires a large daily high-low range relative to the prior close and a close above the five-day moving average.
• A company must also match a metaverse-related category such as virtual reality, gaming, or NFTs.
• The threshold differs between the platform formula and Python example, so the intended range cutoff needs clarification before use.
• The post offers no performance test and does not specify trade exits, position sizing, or portfolio risk controls.
• Metaverse labels may be imprecise, and popular thematic stocks can be exposed to speculative swings.

Tags

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