Stock Screening for Rising Lows, Price Range, and Turnover

Summary

This proposed stock screen looks for price amplitude above one, progressively higher lows, and elevated trading activity. The discussion frames rising lows as evidence of a possible base, while the amplitude and turnover conditions aim to avoid quiet stocks and focus on recent activity. It provides example formula and Python approaches, then proposes extending the screen with valuation measures, moving averages, MACD, longer-period turnover statistics, and risk controls.

The document reports no backtest or outcome evidence, so the screen's investment value is unestablished. Its examples also do not cleanly match the prose: the Python sample uses the standard deviation of highs as its amplitude proxy and rolling volume as a turnover proxy, while the stated conditions refer to amplitude and turnover rate. Recent turnover may reflect temporary sentiment, and active trading does not guarantee low costs or reliable execution. The suggested additions are ideas for further design, not validated improvements.

Key ideas

• The proposed screen combines price amplitude, rising lows, and recent trading activity.
• The discussion suggests using longer-period turnover and adding valuation or technical filters.
• The sample implementation uses proxies that differ from the stated amplitude and turnover-rate conditions.
• No backtest evidence is provided, and recent activity can be driven by short-term sentiment.
• The document flags execution costs and recommends adding risk controls.

Tags

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