Combining Moving-Average Clustering with Opening-Move and Valuation Filters

Summary

The document describes a stock selection screen based on clustering among several moving averages, a specified share price, and a limited price rise by the 9:25 a.m. observation. It argues that these conditions may identify stocks with comparatively stable trends and subdued early trading moves. Its suggested refinements add moderate valuation and higher dividend yield, although those terms are not given precise thresholds.

The text supplies an outline and illustrative code fragments, but no backtest, sample selection, or return evidence. The rationale that clustered averages or a restrained opening move imply lower risk is not demonstrated, and the fixed share-price condition may not indicate whether a stock is fairly valued. The code does not fully specify data retrieval or reliably connect the stated time and criteria to a tested trading process, so the method remains a rough screening proposal rather than a validated strategy.

Key ideas

• The screen combines moving-average convergence, a specified share price, and a cap on the early-session price increase.
• The author interprets these filters as signs of stable trends and relatively restrained opening behavior.
• Suggested additions include valuation and dividend-yield criteria, but no exact thresholds are supplied.
• The document provides no performance evidence, and the claim that the filters reduce risk remains untested.
• The example code is incomplete and does not establish an executable or validated strategy.

Tags

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