Screening Stocks by Trading Range, Listing Age, and Beverage Trade

Summary

The document proposes an equity screen requiring a daily price range above a threshold, a listing history of more than three years, and a main business associated with beverage or alcohol imports and exports. Its rationale is to combine price activity with listing-age and business-description filters, excluding newer listings and focusing on a narrowly defined industry-related group. A Python example illustrates how the author intends to query stock listings, daily prices, listing dates, and company descriptions.

The post gives no backtest, return evidence, or benchmark for the screen. It acknowledges that macroeconomic and policy factors are omitted and that a company’s business may change. The business filter is based on text matching, which may capture firms inconsistently, and the supplied example contains data and filtering assumptions that should be verified. The selection rules identify candidates; they do not establish investment value or provide an entry, exit, or risk-management plan.

Key ideas

• The screen combines a daily range condition with a minimum listing age and a business-description filter.
• The proposed business focus is beverage and alcohol imports and exports.
• The Python example queries market and company data but reports no strategy performance.
• Text-based business matching and omitted macroeconomic or policy factors limit the screen’s reliability.
• The document does not specify trade timing, exits, or position risk controls.

Tags

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