Screening Stocks with Weekly MACD and Prior-Day Trading Activity

Summary

The screen combines three conditions: daily price amplitude above 1%, weekly MACD above zero, and appearance on the prior day’s trading activity leaderboard. The article frames amplitude and MACD as measures of price movement and trend, while leaderboard inclusion is treated as a sign of attention and active trading. It gives indicator formulas and a sample data workflow, but does not provide a performance evaluation or define a complete entry, exit, or position-sizing plan.

The author cautions that leaderboard data can be affected by short-term noise or manipulation, and that technical and activity filters omit company fundamentals, industry conditions, and policy risks. The sample code and stated rules may not align cleanly: the Python example calculates average amplitude and uses price-gap conditions that are not a direct representation of the described prior-day leaderboard condition. The screen is therefore best understood as a proposed candidate-selection method; the article recommends adding fundamental, market, and policy filters and screening out potentially manipulated leaderboard cases.

Key ideas

• The proposed screen requires daily amplitude above 1%, weekly MACD above zero, and prior-day leaderboard inclusion.
• The article treats leaderboard appearance as a proxy for trading activity and market attention.
• Short-term leaderboard signals may be noisy or vulnerable to manipulation.
• The selection method omits company fundamentals, industry conditions, and policy risks.
• The sample code does not clearly implement the stated screen in every respect, and no performance evidence is supplied.

Tags

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