Screening Stocks with Positive MACD, Company Quality, and Popularity

Summary

The post proposes selecting stocks whose MACD is above zero, whose company characteristics are considered favorable, and whose market popularity ranks highly. This blends a technical momentum signal with a basic company-quality filter and investor attention. Its sample indicator expression adds positive price-to-earnings criteria, while the accompanying Python example filters for positive MACD and valuation ratios before sorting its results.

The article offers a conceptual screen and code illustrations, but no backtest, performance figures, or clear operational definition of company quality or stock popularity. The implementation does not reproduce the full stated ranking rule: the Python example sorts by stock name rather than measured popularity, and its MACD calculation across a list of securities may not represent a separate time series for each stock. The author notes risks of crowded hot stocks, concentration, subjective filters, and omitted market, policy, and industry conditions. The screen therefore needs precise definitions and validation before use.

Key ideas

• The proposed screen combines MACD above zero, favorable company characteristics, and a popularity ranking.
• Positive valuation ratios appear as an additional filter in the sample indicator and Python examples.
• The post suggests adding other technical, financial, and industry information to broaden the analysis.
• The Python example sorts by stock name rather than a popularity measure, so it does not fully implement the stated rule.
• The post reports no measured strategy performance and flags concentration and crowded-trade risks.

Tags

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