GitHub - OmNaphade/Algorithmic-Stock-Price-Prediction: A Python-based web app using Scikit-Learn & Streamlit for stock forecasting with a Random Forest model trained on BSE & NSE data. Supports real-time analysis (1 min, 2 min, 5 min), secure SQLite authentication, and data visualization with Matplotlib & Pandas.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
__pycache__		__pycache__
analysis		analysis
data		data
pages		pages
app.py		app.py
helper.py		helper.py
requirements.txt		requirements.txt
rf_model.joblib		rf_model.joblib
stock.ipynb		stock.ipynb
users.db		users.db

About

A Python-based web app using Scikit-Learn & Streamlit for stock forecasting with a Random Forest model trained on BSE & NSE data. Supports real-time analysis (1 min, 2 min, 5 min), secure SQLite authentication, and data visualization with Matplotlib & Pandas.

go-stock.streamlit.app/prediction

python numpy scikit-learn pandas matplotlib nse-stock-data bse-stock-data