StockChat: DSPy-powered Stock Analysis Agent (OpenAI, DeepSeek, Gemini, GitHub)

An open-source alternative to Perplexity Finance.

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StockChat offers a real-time chat interface integrated with AI-powered stock analysis capabilities. Built for developers looking to implement financial NLP solutions.

📚 Table of Contents

• StockChat: DSPy-powered Stock Analysis Agent (OpenAI, DeepSeek, Gemini, GitHub)
  • 📚 Table of Contents
  • 🚀 Quick Start (Docker)
  • ✨ Key Components
  • 🛠️ Local Development Setup
    • Backend Service
    • Frontend Application
  • 🧩 System Architecture
  • 📦 Technical Stack
  • 🎯 Component Structure
  • 📄 License

🚀 Quick Start (Docker)

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys (OPENAI_API_KEY or DEEPSEEK_API_KEY or GEMINI_API_KEY or GITHUB_TOKEN required)

docker-compose up --build

And the app will be running on http://localhost:5173.

✨ Key Components

• 🧠 DSPy Integration - Built-in financial analysis pipelines
• 📈 Trading Signals - Real-time visualization of technical indicators
• 📊 Market Data Processing - Extensible data ingestion framework
• 🔍 Research Cache - SQLite-based analysis result storage
• 🌐 Data Saving - Users can save their analysis through a specific URL endpoint
• 🧠 TA-Lib Integration - Professional technical analysis calculations

🛠️ Local Development Setup

First, install TA-Lib to your computer according to TA-Lib Python Install Guide.

Backend Service

cd stockchat-backend
python -m venv venv
source venv/bin/activate  # Unix/MacOS
# .\venv\Scripts\activate  # Windows

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys (either one required):
# OPENAI_API_KEY=your_openai_api_key
# DEEPSEEK_API_KEY=your_deepseek_api_key
# GEMINI_API_KEY=your_gemini_api_key
# GITHUB_TOKEN=your_github_token

pip install -r requirements.txt
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

Frontend Application

cd stockchat-frontend
npm install
npm run dev

And the app will be running on http://localhost:5173.

🧩 System Architecture

📦 Technical Stack

Category	Technologies
Frontend	React, TypeScript, TailwindCSS, Vite
Backend	FastAPI, Python, DSPy, TA-Lib
Database	SQLite
Deployment	Docker, Docker Compose
AI Integration	Custom DSPy pipelines for financial analysis

🎯 Component Structure

src/
├── components/
│   ├── ui/          # Shadcn UI components
│   ├── Header.tsx   # App header with theme toggle
│   ├── LandingPage.tsx  # Welcome screen with examples
│   ├── LoadingPage.tsx  # Loading state display
│   ├── MessageInput.tsx # Chat input component
│   ├── MetricCard.tsx   # Financial metrics display
│   ├── ResultPage.tsx   # Analysis results view
│   ├── ShareButton.tsx  # Share functionality
│   ├── StockChart.tsx   # Interactive stock chart
│   ├── StockHeader.tsx  # Stock price header
│   └── TradingSignal.tsx # Trading indicators
├── util/
│   ├── api.ts      # API client
│   ├── theme.ts    # Theme management
│   └── utils.ts    # Utility functions
└── App.tsx         # Main application

📄 License

MIT Licensed - See LICENSE for details.