yorkeccak/finance

What it solves

Finance provides a unified, natural-language interface for institutional-grade financial research. It eliminates the need to navigate fragmented, expensive platforms by aggregating real-time market data, SEC filings, patent databases, and academic research into a single chat-based system.

How it works

The system uses a chat interface powered by the Valyu search API to retrieve comprehensive financial data. It integrates with OpenAI or local LLMs (via Ollama or LM Studio) to process this information. For complex calculations, ML models, or backtesting, it executes Python code within secure Daytona sandboxes and renders the results as interactive charts using Recharts.

Who it’s for

Financial analysts, researchers, and investors who need quick access to professional-grade data and the ability to perform advanced quantitative analysis without manually switching between multiple data sources.

Highlights

• Institutional Data Access: Integrated access to SEC filings (10-Ks, 10-Qs, 8-Ks), real-time global market data, and insider trading reports.
• Secure Code Execution: Ability to run Python for financial modeling and ML algorithms via Daytona sandboxes.
• Local LLM Support: Compatible with Ollama and LM Studio for private, offline, and unlimited queries.
• Multi-Source Research: Automatically aggregates data from news, academic papers (arXiv), and social sentiment.
• Interactive Visualizations: Generates publication-ready charts and dashboards from natural language prompts.