A China Stock Screen Combining Metaverse, Ten-Day Average, and Industry Filters

Summary

The article proposes a Chinese equity screen requiring a metaverse industry label, an opening price near or above a ten-day moving average, and a beverage manufacturing industry classification. Its stated formula uses prior-day close and opening price relative to the ten-day average, while the accompanying Python example checks industry labels and compares the current open with an average of recent open prices. These descriptions are not fully aligned, so the precise screening rule is ambiguous.

The article notes that the screen relies on technical and industry classifications while omitting company fundamentals and broader market conditions. It suggests adding factors such as fundamentals and capital flows and validating the logic over time. No backtest, returns, or evidence that the screen is predictive is provided. The sample implementation also raises questions about data windows and error handling, which the article itself flags as issues to consider.

Key ideas

• The proposed screen combines a metaverse label, a ten-day moving-average condition, and a beverage manufacturing classification.
• The written formula and Python example describe different details of the price filter.
• The article identifies omitted fundamentals and overall market conditions as limitations.
• It provides no backtest or evidence of predictive performance.
• The author recommends adding factors and validating the screening logic.

Tags

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