Extract financial data and snowflake scores for global equities via REST API.
npx skills add https://github.com/gauss314/skills --skill simplywallst
Please help me install this Agent Skill. Skill: simplywallst Source: https://github.com/gauss314/skills/tree/main/skills/simplywallst Command: npx skills add https://github.com/gauss314/skills --skill simplywallst
This skill solves the difficulty of accessing comprehensive, structured financial data for over 120,000 global stocks without requiring expensive API keys or dealing with complex web scraping.
Use the simplywallst skill to fetch the full financial analysis and snowflake scores for the ticker GGAL.
High-intent search queries and answers about installing and using this skill.
You can retrieve snowflake scores and financial data for global stocks by interfacing with internal REST API endpoints using Python requests. This approach processes JSON-formatted market data for 120,000 equities without requiring expensive external API keys.
Yes, you can screen for dividend stocks and retrieve historical financial statements across 90+ international markets. The tool extracts dividend projections and insider transaction data from internal REST API endpoints for comprehensive global equity analysis.
The best way to fetch valuation multiples for stocks on the NYSE or Nasdaq is to extract structured financial data from internal REST API endpoints. The tool processes JSON-formatted market data to provide deep financial analysis and snowflake performance scores.
Yes, this stock research approach works for emerging markets like the Argentine stock exchange. It supports large-scale screening and financial statement retrieval across 90+ international markets, allowing you to quickly screen for high-growth stocks globally.
Yes, you need the Python requests library to interface with the internal REST API and process JSON-formatted market data. This dependency is required to extract comprehensive financial data and snowflake performance scores for global equities.
The snowflake scores instantly visualize a company's financial health, valuation, and growth potential. The data extraction also supports historical financial statements, dividend projections, and insider transaction data for comprehensive equity analysis.
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