GitHub - Agent-Field/af-deep-research: Autonomous AI backend for deep research AI applications.
Autonomous AI backend for deep research AI applications. - Agent-Field/af-deep-research
Open‑Source Financial Research Agent
Summary
Dexter is an open‑source Python autonomous agent designed for deep financial research. It breaks down complex investment queries into structured plans, pulls live market data, and iteratively verifies its own analysis while allowing configurable safety limits.
Highlights
- Decomposes complex financial questions into step‑by‑step research plans
- Executes tasks using real‑time market data with iterative self‑verification
- Provides live access to financial statements and automated analysis
- Configurable step limits ensure safe operation and prevent runaway processing
- Open‑source, Python based, and easy to integrate with existing financial APIs
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Context
Audience
Developers, quantitative analysts, and fintech researchers who need an autonomous tool to automate complex financial investigations while retaining control over data sources and execution limits
DomainFinancial Data Analysis
Formatopen‑source software repository / interactive agent
Accessfree open source on GitHub
Source Overview
Dexter is an autonomous financial research agent that decomposes complex financial questions into structured research plans, then executes them using real-time market data and iterative self-verification.
It offers live access to financial statements, automated analysis, and configurable step limits to ensure safe operation. Dexter is open source, built in Python, and supports easy integration with financial datasets and APIs.
Topics
Related
QuantLibLangChain financial agentsyfinance Python libraryAlpha Vantage APIOpenAI function calling for finance
