Chinese Stock Screening by Amplitude, Shareholding Change, and Fundamentals

Summary

The article proposes a Chinese stock screen combining daily price amplitude, a change in controlling shareholders’ holdings, and a fundamental-data condition meant to reflect an investor’s preferences. It offers a formula-style sketch and Python-like pseudocode, then suggests sorting qualifying stocks by a heat or popularity measure. The stated thresholds are part of the proposed screen, while the fundamental preference field is left as a placeholder rather than defined precisely.

The article identifies risks from changing company conditions and inaccurate financial data, and suggests using multiple data sources and monitoring updates. However, it provides no backtest, performance statistics, evidence that the three filters predict returns, or clear operational definitions for several inputs. The examples are therefore a rough screening template, not a validated strategy; investors would need to define the data fields, timing, universe, and evaluation process before relying on it.

Key ideas

• The proposed screen combines price amplitude, controlling-shareholder holding changes, and a fundamental-data preference.
• The article sketches implementations in formula syntax and Python-like pseudocode.
• It suggests ranking qualifying stocks by a heat measure, though the meaning of that measure is unspecified.
• The author flags data quality and changing company conditions as risks.
• No empirical testing is reported, and key data fields remain undefined.

Tags

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