Screening Robot-Themed Small-Cap Stocks by Turnover and Foreign Holdings

Summary

The document presents a Chinese equities screening idea combining a robot-industry concept, a circulating market value below 10 billion yuan, a turnover band of 3% to 12%, and exclusion of stocks associated with northbound capital. It suggests sorting qualifying names by turnover and discusses the trade-off: adding filters may remove stronger companies and leave fewer candidates, while loosening or weighting criteria may produce a broader screen.

The article includes example query syntax and a Python workflow using Tushare data for turnover, concept membership, float value, profitability, and Hong Kong Stock Connect holdings. However, the code does not cleanly match the stated screen: its final turnover bounds differ from the prose, and several data joins and exclusions merit verification. It provides no performance results or validation of the selection rule. Treat the screen as an illustrative hypothesis, and check data definitions, dates, and implementation before relying on its output.

Key ideas

• The proposed screen combines robot concept membership, small float value, a turnover range, and exclusion of northbound holdings.
• Additional filters can reduce the candidate pool and may exclude strong firms.
• The example Python implementation uses several market and company datasets to assemble candidates.
• The code's final turnover bounds differ from the stated range, so its output needs checking.
• The document provides no evidence that the screen generates superior returns.

Tags

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