MyStockPredict is a Smart Stock Price Viewing and Prediction Platform based on Vue 3 and FastAPI. This project combines modern front-end technologies with a robust back-end to provide real-time stock data analysis and machine learning-based price forecasting.

• Frontend: Vite, Vue.js 3, Quasar Framework
• Backend: FastAPI
• Database: PostgreSQL

• Real-time stock data acquisition
• Machine learning price forecasting
• Data visualization presentation
• Historical data analysis

• Node.js 22.15.1 LTS or later
• Python 3.11 or later
• PostgreSQL 17.4 or later

cd myclient
npm install
npm run dev

- On windows:
cd myserver

python -m venv .venv

./.venv/Scripts/activate`

pip install -r requirements.txt

python scripts/init_db.py

4.1 collect data from yFinance API

python scripts/collect_data.py

4.2 clean collected data

python scripts/clean_data_2.py

4.3 split cleaned data

python scripts/split_data.py

4.4 normalized the splited train data

python scripts/normalized_train_data_2.py

4.5 normalized the splited validation and backtest data

python scripts/normalize_val_backtest_data_2.py

fastapi run –reload .\app\main.py

or

uvicorn app.main:app --reload

This project is open source and available under the Apache 2.0 License.

Author: Junliang Li
Email: [email protected]