Screening Robot-Concept Stocks by Amplitude, Market Cap, and Trading Activity

Summary

This Chinese stock selection strategy combines four filters: daily high-to-low amplitude above 1%, a robot-related industry concept, circulating market capitalization below 10 billion yuan, and appearance on the previous day’s trading activity list. It also proposes sorting qualifying stocks by a heat ranking. The document includes example filter logic and a Python-style implementation, though it does not provide a complete, validated trading system.

The article frames the prior-day activity list as a way to identify stocks attracting market attention. It warns that this screen may favor speculative names and omit company financial and operating fundamentals, allowing prices to diverge from underlying value. It recommends reviewing business conditions and historical performance, but presents no backtest, return data, or evidence that the screen predicts future performance. The conditions identify candidates; entry timing, portfolio sizing, exits, and transaction costs remain unspecified.

Key ideas

• The screen selects robot-concept stocks with daily amplitude above 1%, circulating market capitalization below 10 billion yuan, and a prior-day trading-list appearance.
• Qualifying names may be ranked by a heat measure.
• The article cautions that attention-driven stocks can carry speculation risk and may lack fundamental support.
• It provides sample selection logic but no performance validation or full trade management rules.

Tags

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