Combining Metaverse Sector, Turnover, Bollinger Bands, and Profit Growth

Summary

This stock-screening note focuses on companies in the metaverse sector with yesterday's turnover above 8% and a closing price between the Bollinger middle and upper bands. Its final proposed version adds a market-cap ranking in the top 30% of the market and year-over-year net profit growth above 30%. The article gives example formula and Python-style logic, including data-provider calls, but those implementations and indicator expressions would need validation before use.

The rationale combines high recent trading activity with a price location intended to indicate relative strength, then adds size and earnings-growth filters. The note does not report backtest results, selection counts, or a benchmark, so it offers no evidence that these criteria predict returns. It acknowledges that fundamental information is limited and suggests building a broader multi-factor screen. There is also an inconsistency in the example: the written Bollinger condition places price between the middle and upper bands, while the displayed formula does not clearly encode that same interval.

Key ideas

• The screen targets metaverse-sector stocks with yesterday's turnover above 8% and a close between Bollinger middle and upper bands.
• The final proposal adds a top-30% market-cap rank and net profit growth above 30% year over year.
• The article provides sample formulas but no backtest evidence or benchmark comparison.
• The code and indicator expressions should be checked against the written screening rules.
• The author notes that company fundamentals are limited and suggests broader factor inputs.

Tags

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