gsaini/financial-research-analyst-agent
An AI-powered autonomous agent that automates financial data analysis and generates investment insights using LangChain, Python, and multi-agent orchestration.
What's novel
An AI-powered autonomous agent that automates financial data analysis and generates investment insights using LangChain, Python, and multi-agent orchestration.
Code Analysis
8 files read · 2 roundsAn AI-powered multi-agent financial analysis system that orchestrates specialized LLM agents (fundamental, technical, sentiment, risk, earnings, dividend, disruption) to analyze stocks, with real quantitative tools (DCF, Monte Carlo, backtesting, portfolio optimization) and a FastAPI + Streamlit fro
Strengths
Genuine quantitative depth in the tools layer (proper GBM Monte Carlo with Cholesky decomposition, multi-scenario DCF with WACC via CAPM and sensitivity matrices, backtesting engine), combined with a well-structured multi-agent architecture using LangChain with ReAct-style reasoning protocols and cross-agent conflict detection.
Weaknesses
The API's /analyze endpoint bypasses the full agent pipeline in favor of a simplistic RSI+MACD heuristic, the FallbackProvider is an empty stub, cross-agent conflict detection relies on fragile keyword matching of LLM output text, and the system is tightly coupled to yfinance as the sole data source despite the provider abstraction.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
35
Contributors
1
Files
122
Active weeks
8
Repository
Language
Python
Stars
3
Forks
0
License
NOASSERTION