A Small-Cap Robotics Stock Screen Using Turnover and KDJ

Summary

The document outlines an equity screening idea for mainland Chinese main-board stocks. It combines a robotics-industry theme, a limit on circulating market capitalization, a specified turnover range, and a rising KDJ reading. It includes example screening logic and a Python outline for combining stock data with a stochastic oscillator calculation. The article also suggests expanding the screen with other indicators and company financial information.

The material presents a rule set, not a tested trading strategy: it gives no portfolio returns, benchmark comparison, transaction-cost analysis, or evidence that the filter improves selection. Its descriptions are internally inconsistent in places: the prose calls for a rising KDJ value above a threshold, while the quoted screening expression uses a descending sequence of KDJ values, and the turnover condition is not fully consistent across examples. The code also relies on data fields and APIs whose availability and definitions are not established in the article. These discrepancies should be resolved before reproducing or evaluating the screen.

Key ideas

• The proposed universe consists of main-board stocks associated with robotics and below a circulating market-capitalization ceiling.
• The screen combines turnover constraints with a KDJ-based condition.
• The article provides both a platform query example and a Python data-processing outline.
• The prose and sample query disagree about whether KDJ should be rising or falling, so the intended signal is ambiguous.
• The article offers no backtest results or evidence that the proposed filters improve performance.

Tags

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