This React web app allows users to forecast stock prices and evaluate the accuracy of a predictive model (e.g., LSTM). It provides:
- Historical vs. Predicted Closing Price Graph
- RMSE (Root Mean Square Error) Evaluation
- 7 Day Forecast Visualization with Confidence Interval Bands
- Investment Suggestions (Buy / Sell / Hold)
- Sidebar with Live Stock Details
- React.js
- HTML/CSS
- Recharts
- Vercel (Deployment)
- Python
- Scikit-Learn
- Tensorflow (Keras)
- NumPy
- Pandas
- Yfinance (Yahoo Finance)
- FastApi
- Docker
- Render (Deployment)
- Allow model selection for more diverse outputs (LSTM, Linear Regression, ARIMA)
- Export forecast as a CSV for further analysis
- Include Technical Indicators for increased accuracy and decreased RMSE
Made by Dylan Giletto Portfolio | LinkedIn | Github
Link to the Web App: https://stock-prediction-olive.vercel.app/
