Screening Small, Profitable Stocks with Converging Moving Averages

Summary

The document proposes a stock screen combining daily price amplitude above a threshold, a market capitalization ceiling, positive net profit, and at least five converging moving averages. It argues that clustered averages may point to a relatively stable price pattern and reduce short-term noise. It also warns that a technical and current-fundamentals screen can miss company value, future business prospects, and economic or policy risks.

Suggested refinements include adding valuation, cash flow, growth, and industry-risk checks, and considering complementary investment styles. The page provides sample formula and Python implementations, but the code does not clearly implement every stated condition: for example, the shown rolling average logic does not explicitly count five distinct moving averages. It offers no backtest or evidence that the screen predicts returns, so the proposed criteria require careful validation before use.

Key ideas

• The proposed screen combines price amplitude, a market-cap limit, positive profits, and converging moving averages.
• The document treats moving-average convergence as a way to identify relatively steady price behavior and reduce short-term noise.
• Fundamental, industry, and macroeconomic risks may be missed by the basic screening conditions.
• The suggested enhancements include valuation, cash flow, growth, and industry-risk measures.
• The sample implementations and lack of backtest evidence leave the screen’s effectiveness unestablished.

Tags

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