A-Share Screening with Metaverse, Prior-Day Rankings, and Moving Averages
Summary
The document describes a Chinese A-share stock screen that selects companies classified in the metaverse sector, listed on the prior day’s trading leaderboard, and whose 20-day moving average is above the 120-day average. The moving-average condition is intended to identify a stronger price trend, while the leaderboard condition narrows the screen to stocks with recent market attention. It also gives example expressions for implementing the filters in a screening platform and Python-oriented workflow.
The article provides no historical test, performance figures, or evidence that these conditions predict returns. It cautions that relying on moving averages alone overlooks fundamentals and other signals, and that the indicator may fail as market conditions change. It suggests expanding the analysis with other technical and fundamental variables, tailoring thresholds to sector and market conditions, and exploring machine learning. The examples are illustrative; the Python snippet does not fully specify how leaderboard data or moving averages are retrieved and validated.
Key ideas
- The screen combines metaverse-sector membership with a prior-day leaderboard appearance and a rising moving-average relationship.
- A 20-day average above a 120-day average serves as the trend filter.
- The document does not report backtest results or establish that the selection rules are profitable.
- The strategy may be improved with additional technical and fundamental measures, but those additions require validation.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.