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Analyzer\n\n\n[![CrewAI](https://img.shields.io/badge/CrewAI-1.7.2-orange?logo=crewai&logoColor=white)](https://crewai.com)\n[![FastAPI](https://img.shields.io/badge/FastAPI-0.123.10-brightgreen?logo=fastapi&logoColor=white)](https://fastapi.tiangolo.com)\n[![HuggingFace](https://img.shields.io/badge/HuggingFace-Inference-blueviolet?logo=huggingface&logoColor=white)](https://huggingface.co)\n[![Llama](https://img.shields.io/badge/Llama-3.3_70B-yellow?logo=llama&logoColor=white)](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)\n[![YahooFinance](https://img.shields.io/badge/YahooFinance-Data-blue?logo=yahoo&logoColor=white)](https://finance.yahoo.com)\n\n**AI-powered stock research platform** that analyzes company news, financials, and delivers **Buy/Sell/Hold** recommendations using CrewAI multi-agent system and Llama 3.3 70B.\n\n\n## 🚀 Features\n\n| 📰 **News Research** | 📊 **Financial Analysis** | 🎯 **AI Recommendations** |\n|---------------------|---------------------------|---------------------------|\n| Real-time news via Serper | 50+ metrics (P/E, EBITDA, Debt/Equity) | Buy/Sell/Hold with rationale |\n| Press releases & updates | Quarterly financials | Target prices & timelines |\n| Semantic summaries | 1Y price history | Risk assessment |\n\n## 🛠 Tech Stack\n```\nFrontend: FastAPI + HTML/JS (Single Page App)\nAI: CrewAI + Llama 3.3 70B (Hugging Face)\nData: yfinance + yahooquery + SerperDev\nDeployment: pyngrok + uvicorn\n```\n\n## 📁 Project Structure\n```\nai-stock-analyzer/\n├── agents.py # 3 specialized AI agents\n├── tools.py # Serper search + stock data tools\n├── tasks.py # Sequential task pipeline\n├── app.py # FastAPI backend + CrewAI orchestration\n├── index.html # Modern SPA frontend\n└── requirements.txt # Dependencies\n```\n\n## ⚙️ Quick Start\n\n### 1. Clone & Setup\n```bash\ngit clone https://github.com/YOUR_USERNAME/ai-stock-analyzer.git\ncd ai-stock-analyzer\n```\n### 2. Environment\n```bash\ncp .env.example .env\n# Add your keys:\n# HF_TOKEN=your_huggingface_token\n# SERPER_API_KEY=your_serper_key\n```\n### 3. Install & Run\n```bash\npip install -r requirements.txt\npython app.py\n```\n### 4. Access\n```bash\nhttp://localhost:8000\n```\n\n## 🎯 How It Works\n```bash\n1. User searches \"Tesla\" → Autocomplete symbols\n2. Click Analyze → 3 agents collaborate:\n   📰 News Agent → SerperDevTool → Latest headlines\n   📈 Stock Agent → yfinance → 50+ metrics + charts  \n   🎯 Advisor → Synthesizes → Buy/Sell/Hold + Target Price\n3. Results display in clean dashboard\n```\n\n## 🧠 AI Agents\n| Agent | Role | Tools |\n|-------|------|-------|\n| **News Researcher** | Latest news & updates | SerperDev |\n| **Stock Analyst** | Financial metrics & trends | yfinance |\n| **Investment Advisor** | Final Buy/Sell/Hold | News + Financials |\n\n## 📊 Sample Output\n```bash\nCompany: Tesla (TSLA)\nFinancials: P/E 85.2 | Revenue Growth +12% | Market Cap $1.2T\nNews: Q4 deliveries beat estimates | Robotaxi event Feb 2026\n✅ RECOMMENDATION: **BUY** | Target $420 (12 months)\n```\n\n## 🔑 Environment Variables\n| Key | Sources | Purpose |\n|-------|------|-------|\n| **HF_TOKEN** | Hugging Face | Llama 3.3 70B inference |\n| **SERPER_API_KEY** | Serper.dev | \tReal-time news search |\n\n## 🤝 **Contributing**\n\n1. Fork the repo\n2. Create feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit changes (`git commit -m 'Add amazing feature'`)\n4. Push (`git push origin feature/amazing-feature`)\n5. 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