A-Share Stock Screening with Amplitude, Robotics, Size, and Dividends

Summary

The document describes an A-share stock screen combining daily price amplitude above 1%, robotics-concept membership, floating market capitalization below 10 billion yuan, and a 2019 dividend payout ratio above 25%. It sketches how to express those conditions in a screening formula or a Python workflow, then combine the Boolean filters to form a candidate list for portfolio adjustment.

The accompanying discussion argues that the screen mixes a price-movement condition with concept exposure, company size, and dividend history. It cautions that a high payout ratio alone does not establish business quality and can distract from longer-term value, recommending examination of financial results, industry conditions, and growth prospects. The post provides no backtest, return data, benchmark, or detailed rules for rebalancing and transaction costs; the proposed filters therefore remain an illustrative screening recipe rather than evidence of an effective strategy.

Key ideas

• The screen requires amplitude above 1%, robotics-concept status, market capitalization below 10 billion yuan, and a 2019 payout ratio above 25%.
• The criteria combine a price-based filter with concept, size, and dividend characteristics.
• The post gives formula and Python examples for combining the filters into a candidate list.
• A high dividend payout ratio should be checked against company financials and earnings quality.
• No backtest or evidence of investment performance is presented.

Tags

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