A-Share Stock Screen Using Metaverse Theme, Recent Rankings, and Price

Summary

The document describes a simple screen for Chinese A-share stocks in the metaverse theme. It selects stocks that appeared on the prior day’s trading leaderboard and whose current close is above the previous day’s low. It also gives formula and Python examples intended to retrieve market and leaderboard data and apply the conditions. The accompanying explanation treats thematic interest and leaderboard appearance as signals of potential opportunity.

The document explicitly recognizes that the rules are basic, use only recent data, and may omit important investment factors. It suggests adding technical measures such as RSI or MACD and fundamental information, but does not demonstrate that these additions improve results. There is also an apparent inconsistency: the prose refers to a prior-day leaderboard appearance, while the sample code checks whether today appears in the retrieved data and compares the current close with a leaderboard field labeled as a low price. No backtest, return figures, transaction costs, or precise data timing conventions are provided, so the screen is an idea rather than a validated strategy.

Key ideas

• The screen focuses on metaverse-related A-share stocks that recently appeared on a trading leaderboard.
• It requires the current close to exceed the prior day’s low.
• The document provides examples for implementing the filters with market and leaderboard data.
• The method relies on a small set of recent observations and may miss relevant fundamental or technical factors.
• The prose and sample code differ on the date and price fields used, and no performance test is reported.

Tags

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