Screening Chinese Stocks with Moving-Average Convergence and Money Flow

Summary

The document outlines a stock screen combining three conditions: convergence among five moving averages, a high ranking on large-order net volume, and a positive but bounded 10-day return. The moving averages span short to longer lookbacks and are treated as a way to identify prices where multiple trend horizons cluster. The net-volume ranking is intended to represent buying pressure, while the return filter seeks stocks that have risen recently without exceeding the stated upper threshold. The final logic proposes ranking candidates and limiting the selection to a fixed number.

The post explains the intuition behind these filters and acknowledges that the screen may return too many names, respond slowly to market changes, and misjudge future upside. It suggests monitoring broad market conditions and refining the candidate count. Its sample code is incomplete and appears to compare moving averages in a way that may not implement the stated convergence condition correctly; its volume ranking also uses volume data rather than a clearly defined large-order net-flow measure. No backtest evidence or performance statistics are supplied, so the screen is a hypothesis rather than a validated strategy.

Key ideas

• The proposed screen combines moving-average convergence, net-volume ranking, and recent returns.
• The moving averages are intended to capture price alignment across several horizons.
• The return filter seeks recent gains while excluding stocks above its stated ceiling.
• The post notes selection breadth and weak market responsiveness as potential limitations.
• The sample implementation is incomplete and does not establish that the stated filters are correctly calculated.

Tags

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