Screening Metaverse Stocks After a Previous-Day Trading-Activity Listing

Summary

This note describes a short-term screen for main-board Chinese stocks in the metaverse industry. It selects stocks that appeared on the previous day’s trading-activity list and rose by more than 1% on the current day. It also gives a technical-indicator formula reference and a Python example that retrieves A-share data and applies industry, board, prior activity, and price-change filters.

The article explains that the screen focuses on recent price behavior and cautions that it omits company fundamentals and can be affected by speculative sentiment. It suggests adding fundamental and industry information or using historical data analysis to refine the selection. The material does not provide backtest results or evidence that the rules predict future returns. Its indicator formula appears to use MACD crossovers as a proxy for the prior-day activity condition, while the accompanying Python description refers to trading-list data; these implementations may not represent the same criterion. Data quality and missing observations also require attention.

Key ideas

• The screen targets metaverse-industry main-board stocks with prior-day trading-list activity and a current-day gain above 1%.
• The article includes both an indicator-formula reference and a Python-based data-filtering example.
• Its selection rules emphasize short-term price action and do not incorporate company fundamentals.
• The author identifies speculative sentiment and data-quality issues as limitations.
• No historical performance evidence is provided.

Tags

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