Stock Screening with Turnover, a 10-Day Average, and a 250-Day Trend Filter

Summary

This post presents a stock screen requiring turnover between 3% and 12%, an opening price within five percent of the 10-day simple moving average, and the previous close above the 250-day moving average. The short-term average condition is presented as a way to find prices near a recent reference level, while the long-term filter is intended to favor stocks above a longer trend benchmark. Formula-style and Python examples illustrate the conditions.

The post offers no backtest, performance figures, or evidence that the combined filters improve returns. It notes that the screen gives limited attention to fundamentals and that a long moving average can lag. It suggests adding company-quality measures, capital-flow information, or sector context. The examples also leave implementation details to the user, including precise handling of prior-day data and moving-average alignment, so the rules need to be checked against the chosen data and platform before research use.

Key ideas

• The screen constrains turnover to a range from 3% to 12%.
• The opening price must fall within five percent of the 10-day moving average.
• The prior close must be above the 250-day moving average.
• The post notes that the long-term average can lag and that fundamentals are not covered in depth.
• 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.