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https://github.com/wtbates99/stock-indicators
A comprehensive self-hosted stock analysis platform combining FastAPI and React. Features interactive stock visualizations, real-time data aggregation, and customizable technical indicators with a modern, grid-based interface.
https://github.com/wtbates99/stock-indicators
backend data-analysis data-mining data-science fastapi financial-analysis frontend investment python reactjs sqlite3 statstistics stock-market stock-price-prediction time-series
Last synced: 17 days ago
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A comprehensive self-hosted stock analysis platform combining FastAPI and React. Features interactive stock visualizations, real-time data aggregation, and customizable technical indicators with a modern, grid-based interface.
- Host: GitHub
- URL: https://github.com/wtbates99/stock-indicators
- Owner: wtbates99
- Created: 2024-03-15T04:54:57.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-12-30T02:18:06.000Z (25 days ago)
- Last Synced: 2024-12-30T03:21:36.205Z (25 days ago)
- Topics: backend, data-analysis, data-mining, data-science, fastapi, financial-analysis, frontend, investment, python, reactjs, sqlite3, statstistics, stock-market, stock-price-prediction, time-series
- Language: Python
- Homepage: https://stock-indicators.com
- Size: 8.12 MB
- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# stock-indicators
A self-hosted application for stock data aggregation and visualization, featuring a FastAPI backend and React frontend.
## Features
- Multi-source data aggregation (yfinance)
- SQLite3 database storage
- Interactive stock charts with customizable indicators
- Dynamic stock grid layout
- Real-time data updates
- Comprehensive financial metrics
## Installation
**Prerequisites**: Python 3.7+, Node.js 14+, npm 6+
```bash
# Clone and setup
git clone https://github.com/your-username/Stock_TA_Charts.git
cd Stock_TA_Charts
# Backend setup
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python puller.py
# Frontend setup
cd frontend/src
npm install
npm run build
# Start server
python3 main.py
```
Access at `http://localhost:8000`
## API Endpoints
- `GET /stock/{ticker}`: Stock data
- `GET /indicators/{ticker}`: Technical indicators
- `GET /company/{ticker}`: Company information
Full API documentation: `http://localhost:8000/docs`
## Contributing
1. Fork repository
2. Create feature branch
3. Submit pull request
For issues: Check database connectivity, run `python puller.py` for fresh data, or clear browser cache.