Screening Stocks for Moving-Average Confluence and Moderate Ten-Day Gains

Summary

The post describes a stock screen combining three criteria: at least five overlapping moving averages, a company-selection condition based on business characteristics, and a positive but capped return over ten days. It names five-, ten-, twenty-, sixty-, and one-hundred-twenty-day averages as preferred periods. The accompanying sample code begins to compare moving averages and price, but the excerpt is truncated before the full implementation is shown.

The proposed interpretation is that clustered averages may signal a directional trend, while a limited recent gain may identify stocks with momentum that has not become excessive. The article acknowledges that average alignment can generate false signals and that business quality assessments can be affected by sentiment and policy. It suggests adding longer averages, other technical indicators, and fundamental measures. No test results or evidence establish that the conditions improve selection, and the exact meaning of the business-property filter is left broad.

Key ideas

• The screen combines moving-average overlap, company characteristics, and a bounded ten-day price gain.
• It identifies five-, ten-, twenty-, sixty-, and one-hundred-twenty-day averages as candidate periods.
• The author treats aligned averages as a possible indicator of trend direction and strength.
• The post warns of false signals and uncertainty in judging company characteristics.
• The sample implementation is incomplete, and no empirical performance evidence is provided.

Tags

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