https://github.com/devspace88/market_data_app
https://github.com/devspace88/market_data_app
Last synced: 10 months ago
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- Host: GitHub
- URL: https://github.com/devspace88/market_data_app
- Owner: DevSpace88
- Created: 2024-10-29T14:36:42.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-09-11T07:23:54.000Z (10 months ago)
- Last Synced: 2025-09-11T10:44:32.240Z (10 months ago)
- Language: Python
- Size: 464 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Market Analysis Platform
Real-time market analysis with technical indicators, patterns, signals, risk metrics and AI-powered insights. Backend runs on port 8000, frontend on 5173.
## Features
- Real-time market data via WebSocket
- Technical analysis with multiple indicators
- Pattern recognition and trading signals
- AI-powered market insights
- Interactive charts and dashboards
- Watchlist functionality
## Installation
### Backend
```bash
# Create virtual environment
python -m venv venv
source venv/bin/activate # or `venv\Scripts\activate` on Windows
# Install dependencies
cd backend
pip install -r requirements.txt
# Optional: Environment variables
# SECRET_KEY and DB are required; AI keys are configured in the app UI.
cp .env.example .env
vi .env
# Start the server
uvicorn app.main:app --reload
```
### Frontend
```bash
# Install dependencies
cd frontend
npm install
# Install shadcn/vue components
npx shadcn-vue init
npx shadcn-vue add button card input badge progress
# Start development server
npm run dev
# Optional: disable WebSockets during dev to avoid console noise
# create .env.local with:
# VITE_ENABLE_WS=false
```
## Environment Variables (Backend)
Create a `.env` in `backend/` (no OpenAI key required here):
```env
SECRET_KEY=your_secret_key
DATABASE_URL=sqlite:///./market_analysis.db
BACKEND_CORS_ORIGINS=http://localhost:5173,http://localhost:3000
```
AI Provider keys (OpenAI, DeepSeek, etc.) werden in der App unter „AI Settings“ gespeichert (plaintext) und serverseitig sicher verwendet. Kein Key in `.env` nötig.
## Usage
1. ```cd backend```
2. ```uvicorn app.main:app```
3. ```cd frontend```
4. ```npm run dev```
5. Open `http://localhost:5173` in your browser
6. Use the search bar to find stocks
7. View real-time data and analysis
8. Add symbols to your watchlist
9. Login (Default Admin)
- username: admin
- password: admin123
## API Documentation
Access the interactive API documentation at `http://localhost:8000/docs`
## Technology Stack
### Backend
- FastAPI
- SQLAlchemy
- LangChain
- yfinance
- pandas-ta
### Quant Features
- Indicators: RSI, MACD, SMA/EMA, Stochastic, Williams %R, CCI, ADX, Bollinger, ATR, OBV, VROC, AD-Line, Pivot Points
- Patterns: Candlestick, Chart, Trend, Volume, Support/Resistance
- Signals: short/medium/long-term with strength
- Risk: volatility, drawdown, momentum, liquidity, S/R, overall score
### Frontend
- Vue 3
- Vite
- Pinia
- Shadcn/Vue
- ECharts
- TailwindCSS
## Caching
- Frontend: market data (2 min), AI analysis (10 min), watchlist (1 min), hot stocks (5 min)
- Backend: AI analysis 24h, hot stocks 5–15 min
## Internationalization (i18n)
- Deutsch/Englisch umschaltbar in der Navbar
- Default wird aus `localStorage.language` gelesen
## WebSockets
- Endpoint: `ws://localhost:8000/api/v1/ws/market/{symbol}?token=JWT`
- Im Dev standardmäßig per Flag deaktivierbar: `VITE_ENABLE_WS=false`