Filtering Chinese Robot Stocks with Auction Net Buying

Summary

This document describes a Chinese equity screen combining four conditions: daily amplitude above 1%, membership in a robotics concept group, circulating market capitalization below 10 billion yuan, and positive net buying attributed to major participants during the opening auction. It presents the auction flow measure as a way to gauge short-term sentiment and adds it to an existing screen. It also suggests confirming candidates with a longer-term trend measure.

The post provides example formula and Python-style implementations, but no backtest, performance data, or evidence that the screen predicts returns. It warns that auction flow can be noisy, parameter choices affect results, and short-term strategies remain exposed to sudden shocks. The implementation details are platform-specific, and the displayed capitalization threshold may depend on data units; readers would need to verify definitions and units before using the screen. The suggested additional indicators and machine-learning automation are proposals rather than evaluated improvements.

Key ideas

• The screen combines amplitude, robotics concept membership, circulating market value, and opening-auction net buying.
• Positive auction buying is presented as a short-term sentiment filter, but may be noisy.
• The document suggests adding a longer-term trend measure to assess direction.
• It provides implementation examples but no backtest or evidence of profitability.
• Threshold units and indicator definitions should be checked in the chosen data platform.

Tags

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