Screening Beverage and Alcohol Stocks by Turnover and Ten-Day Gains

Summary

This screening example targets beverage and alcohol-related stocks with turnover between 3% and 12% and a positive ten-day price gain below 35%. It presents turnover as a measure of trading activity, the industry classification as a way to define the universe, and the recent price change as a short-term momentum filter. The document also suggests broadening the screen with company fundamentals, technical indicators, market capitalization, dividend yield, and a longer return window.

The article cautions that the method omits fundamentals and other technical or market context, and that its chosen gain range may be arbitrary and prone to misclassification in volatile conditions. It includes formula and Python examples, but the sample code’s data-selection steps do not cleanly implement every stated criterion, including the turnover filter. No backtest or evidence of predictive performance is reported. The described rules should be treated as a screening hypothesis rather than an established strategy.

Key ideas

• The proposed universe is beverage and alcohol stocks with turnover from 3% to 12% and positive ten-day gains below 35%.
• Turnover, industry classification, and recent price movement serve as activity, universe, and momentum filters.
• The article recommends adding fundamentals and other market or technical measures for a broader screen.
• The gain threshold may be arbitrary, and the code example does not clearly implement every stated condition.
• No backtest evidence or predictive results are provided.

Tags

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