Apply quantitative and thematic stock screens across AR and US markets.
npx skills add https://github.com/luiseiman/dotforge --skill screen-luiseiman
Please help me install this Agent Skill. Skill: screen Source: https://github.com/luiseiman/dotforge/tree/main/stacks/trading/skills/screen Command: npx skills add https://github.com/luiseiman/dotforge --skill screen-luiseiman
Surface investment ideas by applying quantitative screens and thematic sweeps to identify promising stocks across AR, CEDEARs, and US markets.
Provide screening criteria and ask the AI to return a ranked set of stock ideas.
High-intent search queries and answers about installing and using this skill.
Stock screening by quantitative metrics involves filtering equities using financial ratios like P/E, P/B, ROE, and dividend yield to identify promising investment ideas across AR, CEDEARs, and US markets.
Thematic sweeps capture investment ideas around specific sectors and market themes, allowing you to surface promising stocks across AR and US markets based on qualitative trends rather than strict quantitative filters.
Yes, quantitative stock screening supports AR markets including BYMA and CEDEARs, as well as US markets. You can apply value, growth, momentum, income, and quality screening styles across these cross-market equities.
Generating stock ideas with momentum indicators requires applying quantitative screens that filter equities based on price trends, enabling you to identify and rank promising investment opportunities across supported US and AR markets.
Yes, you need current market data access to run stock screens effectively. Real-time or recent pricing and fundamental data are required to accurately filter stocks by metrics like P/E, P/B, ROE, and dividend yield.
Thematic sweeps capture sector-based investment ideas but lack the strict mathematical filtering of quantitative stock screening, meaning thematic sweeps may surface broader trends without ensuring strict adherence to value, growth, or quality metrics.
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