Screening Stocks with Turnover, Recent Returns, and a Moving Average

Summary

This stock-selection approach combines a turnover filter of 3%–12% with a positive but capped 10-day price gain and a condition that the stock’s average price stands above its five-day moving average. The stated rationale is to focus on actively traded stocks showing short-term strength. The document also presents a technical-analysis formula and a Python example that retrieves stock data, applies turnover and moving-average conditions, then ranks candidates by their price relative to a short moving average.

No backtest, sample results, or evidence of excess returns is provided. The document notes that the method is driven mainly by technical conditions and does not assess company fundamentals. Its formula and code examples do not cleanly align with all the stated selection rules, so their implementation should be checked before use. The strategy is therefore a screening idea, not demonstrated investment evidence.

Key ideas

• The proposed screen uses a turnover range, a bounded 10-day gain, and a five-day moving-average condition.
• The rationale is to combine trading activity with a short-term trend signal.
• The document provides sample formulas and code but no performance study.
• Fundamental information is omitted, and the examples may not implement every stated condition consistently.

Tags

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