Bigdata-com/bigdata-cookbook
End-to-end financial text-analysis using Bigdata API and the Bigdata-Research-Tools library. Ready-to-use notebooks with RAG & GenAI enabling thematic and risk screening, trend tracking, and automated report generation, extracting insights at scale.
This project helps financial analysts and investment professionals quickly extract and understand key insights from vast amounts of financial text. It takes unstructured data like company reports and news, and outputs structured Excel reports, HTML visualizations, and extracted data points for various analyses like thematic screening, risk assessment, and market trend tracking. Investment analysts, portfolio managers, and market researchers who need to make data-driven decisions will find this particularly useful.
Use this if you need to automate the extraction of financial insights, track market narratives, or generate comprehensive reports on specific investment themes like AI disruption, regulatory risks, or pricing power, saving significant time and effort compared to manual analysis.
Not ideal if you're looking for simple, one-off searches or don't regularly work with large volumes of financial text data for deep, structured analysis.
Stars
25
Forks
7
Language
HTML
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Bigdata-com/bigdata-cookbook"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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