An Agentic, multi-agent system that combines real-time stock analysis, financial metrics, and web search using Phidata, Groq LLaMA3, and yFinance. Built for investors and analysts to research about financial analysis of any stock in the market.
This is powered by Groq’s LLaMA3 · Built with Phidata · Streamlined with FastAPI ·
- Web Search Agent – Retrieves live financial news using DuckDuckGo.
- Finance Agent – Provides stock fundamentals, analyst ratings, ratios, and trends.
- Multi-Agent Collaboration – Agents work in tandem to deliver structured insights.
- Playground Mode – Visual interface powered by Phidata's playground on
localhost:7777.
| Tool | Purpose |
|---|---|
| Phidata | Agent framework for building, deploying, and monitoring AI agents |
| Groq (LLaMA3) | Transformer-based LLM |
| YFinance | Stock data: prices, ratios, indicators |
| DuckDuckGo | Fetches latest news and articles |
| FastAPI | Playground deployment support |
| dotenv | Secure key management |
Stock_Analyst/
├── financial_agent.py # AI agents
├── phidata_playground.py # Launches Phidata UI (http://localhost:7777)
├── .env # API keys
├── requirements.txt # Dependencies
├── LICENSE # Project license
└── README.md # You are here!
git clone https://github.com/itsabhishekm/Stock_Analyst.git
cd Stock_Analyst
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
Create a .env file in the root directory and past your API KEYS:
PHI_API_KEY="your-phidata-api-key"
GROQ_API_KEY="your-groq-api-key"
OPENAI_API_KEY="your-openai-api-key"
python financial_agent.py
This will trigger both the web search and financial agents to respond to a sample query like: "Summarize analyst recommendations and share the latest news for NVDA"
python phidata_playground.py
Then login to your Phidata account, and select localhost:7777 from the endpoint list.