Screening for Rising 30-Day Averages, Moving-Average Convergence, and Stock Popularity

Summary

The document outlines a Chinese stock screen combining at least five converging moving averages, an upward-sloping 30-day average, and a ranking by stock popularity. It frames average convergence as a technical signal of aligned price trends and uses popularity ranking to prioritize candidates. The supplied sample code refers to several averages and sorts the resulting stocks, but it does not clearly implement the stated conditions: it compares only four averages, uses exact equality for convergence, and appears to sort by price change as a proxy rather than a defined popularity measure.

The article presents no backtest results or measured evidence for profitability. It cautions that historical price patterns may fail to predict future performance, the choice of periods and convergence criteria is subjective, and popularity can reflect sentiment or noise. It suggests testing alternative periods and adding other indicators, but these are general recommendations rather than demonstrated improvements.

Key ideas

• The screen combines an upward 30-day average, moving-average convergence, and popularity ranking.
• The sample code does not fully match the stated screen and uses exact equality to represent convergence.
• The article gives no backtest or performance evidence for the proposed selection rule.
• Moving-average settings are subjective, and popularity may reflect sentiment or noise.

Tags

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