Robot-Theme Stock Screening by Turnover and Float Market Capitalization

Summary

This Chinese stock-screening post proposes selecting robot-theme companies using turnover and circulating market capitalization. Its stated criteria combine a turnover band of 3% to 12% with a market-capitalization requirement, and it offers example implementations using a screening formula and a Python workflow. The examples also add positive daily price change and sort candidates by turnover, so their filters do not match the headline criteria exactly.

The post describes the aim as finding stable, larger companies, while warning that size-focused filters may miss high-growth firms and that strict thresholds can exclude attractive stocks. It suggests adding valuation and profitability measures, varying thresholds by industry, and adapting criteria to market conditions. The stated capitalization bounds conflict: the post pairs a value below 10 billion with one above 100 billion, which cannot both hold, and the code uses differently scaled values. No backtest, performance data, or evidence that the screen predicts returns is provided; the rules should therefore be treated as an inconsistent screening example rather than a validated strategy.

Key ideas

• The proposed screen combines a robot-related theme with turnover and circulating market capitalization filters.
• The described turnover range is 3% to 12%, but the examples use different turnover bounds.
• The capitalization criteria conflict because they require values both below 10 billion and above 100 billion.
• The post warns that size-focused screening can exclude growth companies and recommends adding financial measures.
• No performance evidence or backtest is supplied.

Tags

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