Screening Stocks with Positive MACD and Investor Attention

Summary

This document outlines a proposed stock screen that selects shares with MACD above zero and ranks them by a measure of individual-stock attention. It limits the selection window to 2021 and says the screen would run after the market opens. The accompanying discussion frames MACD as a trend filter and attention as a ranking input, then suggests adding company fundamentals and market or industry context to address gaps in the method.

The article includes formula references and a Python sketch, but the implementation is incomplete: the attention measure is not defined, the displayed code relies on a heat field without showing how it is obtained, and some stated ranking and indicator details do not line up cleanly with the described logic. It provides no backtest results, portfolio construction rules, transaction cost treatment, or evidence that the screen predicts returns. The stated risks include reliance on historical data and omission of financial and market context, so the screen should be treated as an unvalidated screening idea rather than a demonstrated strategy.

Key ideas

• The proposed screen filters stocks for MACD above zero and ranks candidates by an attention measure.
• The selection period is restricted to 2021, with screening intended after the open.
• The attention measure is not specified, and the code sketch does not provide a complete reproducible method.
• The document reports no backtest evidence or performance results.
• It recommends incorporating fundamentals and broader market or industry information.

Tags

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