Stock Screening with Daily Range, Ten-Day Return, and Price Filters

Summary

This article presents a stock screen based on three conditions: daily high-low range greater than 1% of the previous close, a positive return over ten sessions below 35%, and a price threshold. The prose specifies a price of 18.5, while the sample indicator formula uses a minimum close of 18.5 and the Python example treats price as an exact match, so the price rule is not fully consistent. The screen aims to capture stocks with some movement and recent gains without selecting those whose ten-day rise is especially large.

The document supplies formula and Python illustrations but no backtest results or evidence of profitability. It notes that price, range, and return filters alone do not establish company value or an investment opportunity. Its suggested refinements include adding company financials, valuation, market capitalization, industry, and other technical indicators, with thresholds adjusted as market conditions change.

Key ideas

• The screen combines a daily range threshold with a positive ten-session return capped below 35%.
• The stated price condition is inconsistent across the prose and examples.
• Range and recent return filters do not account for company fundamentals or guarantee an opportunity.
• The article recommends adding financial, valuation, industry, and other market indicators.

Tags

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