Stock Screening with Converging Moving Averages and Recent Gains

Summary

This Chinese-language post outlines a stock screen using five moving averages: 5, 10, 20, 30, and 60 days. It selects stocks whose averages converge, constrains the ten-day price change to be positive and below 35, and proposes ranking candidates by individual stock popularity. The post interprets clustered averages as a possible turning point after substantial short-term price movement, while the positive but limited recent gain is presented as a way to focus on stocks that have risen without an especially large advance.

The article warns that convergence can precede larger price swings and that a modest recent gain does not rule out a decline. It suggests testing additional longer averages and incorporating volume to better assess trend changes and activity. A moving-average calculation example is included, but no backtest results, precise convergence threshold, or evidence that popularity ranking improves returns is provided. The screen is therefore a hypothesis for further evaluation, not a validated strategy.

Key ideas

• The screen looks for stocks with at least five converging moving averages spanning 5 to 60 days.
• It filters for a positive ten-day gain below 35 and ranks candidates by stock popularity.
• The post treats moving-average convergence as a possible turning point, while acknowledging increased volatility risk.
• It suggests adding longer moving averages and volume as possible screening inputs.
• No backtest evidence or precise definition of moving-average convergence is supplied.

Tags

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