Screening Stocks by Range, Ten-Day Return, and Recent High

Summary

This post presents a stock selection rule based on three conditions: a price range above 1%, a positive return over ten days that remains below 35%, and a recent high that is the highest across a short comparison window. The stated intent is to find stocks with noticeable movement and recent gains without selecting the most extended performers. It provides both an indicator-style formula and a Python example for applying the filters to price data.

The post offers rationale and cautions rather than performance evidence. It notes that high-range stocks carry greater risk and that recent-high signals may be affected by data quality or delays. It suggests adding indicators such as moving averages or MACD and considering sector and company fundamentals. No backtest results, holding rules, position sizing, or execution details are supplied, so the screen should be treated as a candidate-generation idea rather than a validated strategy.

Key ideas

• The screen combines a minimum price range with a positive but capped ten-day return.
• A recent-high condition is used to identify stocks showing short-term price strength.
• The post warns that higher-amplitude stocks also have greater risk.
• It supplies implementation examples but no evidence of historical strategy performance.
• Fundamental and additional technical analysis are suggested as possible filters.

Tags

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