Stock Screening with Turnover, Recent Trading-List Appearance, and MACD

Summary

The post describes a stock-selection screen based on turnover between three and twelve percent, appearance on a market trading list the previous day, and a negative MACD reading from two days earlier. The accompanying formula adds further filters involving price, long-term moving-average position, price limits, RSI, and other market fields. The Python example uses turnover bounds and a lagged MACD field, but its trading-list conditions are represented by fields labeled for price-limit events instead, so it does not faithfully express the stated selection logic.

The author frames the negative MACD condition as a way to select technically weak stocks, while noting that indicator-only screening may miss opportunities and overlook fundamentals or market style. Suggested refinements include examining financial and industry data and combining technical measures. No backtest, selected-stock examples, or performance evidence is provided, and the differences between the narrative, formula, and sample code should be resolved before relying on the screen.

Key ideas

• The stated screen combines a turnover band, prior-day trading-list appearance, and a lagged negative MACD condition.
• The formula includes additional price, moving-average, RSI, and market-field filters.
• The Python example's price-limit fields do not clearly represent the stated trading-list condition.
• The post gives no performance evidence and recommends broader technical and fundamental analysis.

Tags

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