Metaverse Stock Screening with a Rising 30-Day Average and Fund-Flow Ranking
Summary
The document describes a Chinese stock screen for companies in the metaverse theme. It requires the 30-day moving average to rise relative to the prior session, then ranks qualifying stocks by a measure called fund strength. The provided formula and Python example show concept filtering, a moving-average condition, descending fund ranking, and an illustrative allocation of a fixed total position across selected names. The article does not define how fund strength is calculated or provide a precise portfolio rebalancing schedule.
Its stated rationale is to combine thematic exposure, an upward short-term trend, and capital-flow information. It offers no backtest or evidence that these conditions predict returns. The article warns that relying on flows and technical signals can neglect company fundamentals, become unreliable in unstable markets, and obscure differences in individual-stock risk. It proposes adding fundamental analysis and broader risk controls, while also mentioning machine learning as a possible refinement; none of these additions is tested in the document.
Key ideas
- The screen filters metaverse-related stocks and requires the 30-day moving average to be rising.
- Qualifying stocks are ordered by fund strength, with an example allocation spread across the selected names.
- The document does not define its fund-strength measure or provide performance evidence.
- It cautions that technical and flow-based selection can miss fundamentals and company-specific risk.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.