madhurimarawat/Stock-Market-Prediction

This repository began as a 7th-semester minor project and evolved into our 8th-semester major project, "Advanced Stock Price Forecasting Using a Hybrid Model of Numerical and Textual Analysis." It utilizes Python, NLP (NLTK, spaCy), ML models, Grafana, InfluxDB, and Streamlit for data analysis and visualization.

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Emerging

This project helps individual investors, traders, or financial analysts forecast stock prices by combining historical numerical data with insights from financial news. It takes in historical stock prices and financial news articles, processes them using machine learning, and outputs predictions and visualizations of stock price movements. This tool is designed for anyone looking to make more informed decisions about buying or selling stocks.

Use this if you want to predict stock prices using a blend of historical financial data and sentiment from textual news.

Not ideal if you need real-time high-frequency trading signals or a tool for institutional-grade portfolio management.

stock-forecasting financial-analysis market-prediction investment-research algorithmic-trading
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

19

Forks

11

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 20, 2026

Commits (30d)

0

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