Chen-zexi/LangAlpha
Multi-Agent Financial Research workflow
This tool helps financial professionals, such as equity analysts or portfolio managers, quickly generate comprehensive reports on stocks, market trends, or economic events. You input natural language queries about financial topics, and it produces a structured report with synthesized news, market data, fundamental analysis, and potential investment insights. It acts like a virtual research assistant, automating the time-consuming process of gathering and analyzing diverse financial information.
177 stars. No commits in the last 6 months.
Use this if you need rapid, in-depth financial research and analysis reports on specific companies or market conditions without manually sifting through numerous data sources.
Not ideal if you require real-time trading signals, direct financial advice, or have very simple queries that don't need extensive multi-source analysis.
Stars
177
Forks
49
Language
Jupyter Notebook
License
—
Category
Last pushed
May 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Chen-zexi/LangAlpha"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
langchain-ai/langgraphjs
Framework to build resilient language agents as graphs.
von-development/awesome-LangGraph
An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and...
kyrolabs/awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
wassim249/fastapi-langgraph-agent-production-ready-template
A production-ready FastAPI template for building AI agent applications with LangGraph...
redis-developer/langgraph-redis
Redis checkpointer and store for memory management in LangGraph