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Agentic AI Stock Analysis
🚀 Overview
Agentic AI Stock Analysis is an AI-powered multi-agent system that analyzes stock market trends, provides analyst recommendations, and fetches the latest news using Groq AI models. It integrates financial and web search agents to deliver real-time insights.
🔥 Features
- Multi-Agent System: Uses multiple AI agents for finance and web search.
- Stock Analysis: Retrieves stock prices, analyst recommendations, and financial fundamentals.
- Web Search Integration: Fetches the latest news and updates.
- FastAPI-based Playground: Interactive UI for seamless exploration.
- Groq AI Model: Leverages
deepseek-r1-distill-llama-70b for processing.
🛠 Tech Stack
- Backend: FastAPI
- AI Model: Groq (
deepseek-r1-distill-llama-70b)
- Finance Data:
YFinanceTools
- Web Search:
DuckDuckGo
- Deployment: FastAPI Playground
⚙️ Installation
# Clone the repository
git clone https://github.com/alihassanml/agentic-ai-stock-analysis.git
cd agentic-ai-stock-analysis
# Create a virtual environment
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
# Install dependencies
pip install -r requirements.txt
🔑 Environment Variables
Create a .env file and add your API keys:
GROQ_API_KEY=your_groq_api_key
PHI_API_KEY=your_phi_api_key
🚀 Usage
python app.py
The application will run and provide stock insights based on AI-powered analysis.
🖥️ API Endpoints
/playground - Interactive AI playground
/analyze?query=<stock_query> - Fetch stock recommendations and news
📝 Example Output
Analyst Recommendations for AAPL:
Strong Buy: 8 | Buy: 24 | Hold: 12 | Sell: 1 | Strong Sell: 2
Latest News:
1. Apple Unveils Most Powerful Mac Ever - Yahoo Finance
2. Apple Updates MacBook Air with M4 Chip - TechCrunch
🤖 Contributing
Contributions are welcome! Feel free to submit a pull request.
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