Combining Weekly MACD Signals, Volatility, and Volume-Ratio Ranking

Summary

This stock-selection idea combines a daily amplitude threshold above 1% with a weekly positive MACD-style signal, then ranks qualifying stocks by a volume-based heat measure. The article describes the weekly red bar as a short-term upward signal and treats stronger recent trading volume relative to its 20-day average as a proxy for popularity. It includes formula and Python examples for screening and ranking stocks.

The post notes that popularity rankings may expose a strategy to sentiment swings and that industry or fundamental conditions are not captured. It suggests weighting inputs and adding valuation measures, while acknowledging the need to revise the rules over time. No backtest, return figures, or evidence of predictive performance is supplied. The implementation details are also not fully aligned: the prose calls for a weekly signal, while the Python snippet checks daily MACD data, and it collects a fundamentals query without using the result as a screen. These gaps make the example a starting specification rather than a validated strategy.

Key ideas

• The screen requires daily amplitude above 1% and a positive weekly MACD-style signal.
• Qualifying stocks are ranked by recent volume relative to its 20-day average as a proxy for trading interest.
• The article identifies sentiment swings and missing industry or fundamental factors as risks.
• The Python example checks daily MACD despite the prose specifying a weekly signal.
• No performance testing is reported, and the code is presented as an adaptable reference.

Tags

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