Screening Chinese Robot Stocks with Bollinger Band and Market Cap Filters

Summary

This stock screen targets Chinese-listed companies associated with the robotics concept. It requires daily amplitude above one percent, circulating market capitalization below 10 billion yuan, and a closing price between the middle and upper Bollinger Bands. The post also supplies example implementations for screening and describes sorting selected stocks by heat ranking.

The strategy combines a concept classification and size filter with a short-term price condition. The document offers no historical test, return figures, or evidence that these filters improve investment results. It acknowledges that the screen omits fuller checks of financial health and profitability, and suggests adding fundamental and industry information. The examples are implementation references, not a reproducible evaluation: data conventions and exact screening timing are not fully specified, and the accompanying Python logic uses cross-sectional time-series operations whose alignment would need careful review before use.

Key ideas

• The screen focuses on robotics-concept stocks with circulating capitalization below 10 billion yuan.
• It requires amplitude above one percent and a close between the Bollinger middle and upper bands.
• The post describes sorting selected stocks by a heat ranking.
• It provides no performance evidence and notes that company fundamentals are insufficiently assessed.

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