A Proposed Moving Average and MACD Screen with Significant Implementation Gaps

Summary

This article proposes screening stocks for at least five overlapping moving averages and a shortening green MACD histogram on a 15-minute timeframe. Its stated rationale is that moving-average clustering and a changing MACD histogram could help identify stocks with potentially favorable price conditions. The article includes Python-like functions intended to detect these patterns, then suggests adding further technical indicators and market data to improve the screen.

The implementation does not reliably match the described method: the moving-average function compares exact price equality, the MACD calculations do not follow a standard histogram definition, and the selection function does not combine both conditions. As a result, the code does not demonstrate a working screen. The article provides no backtest or evidence that the signals predict returns, and notes that using only moving averages and MACD can miss broader market trends. Its main useful contribution is the proposed screening idea and a reminder to validate indicator logic; the method needs substantial clarification and testing before use.

Key ideas

• The proposed screen combines five overlapping moving averages with a shortening green MACD histogram on a 15-minute chart.
• The code tests exact equality of prices rather than a meaningful tolerance for moving-average overlap.
• The MACD calculations and selection logic do not correctly implement the stated combined conditions.
• The article provides no backtest or evidence of predictive performance.
• It recommends adding data and indicators, but first requires correct signal definitions and validation.

Tags

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