The implementation of efficient Sentiment Analysis models used for Stock Prediction earned me the Second Position in the Natural Language Processing category at a Machine Learning Hackathon at McGill University.
Alfred is a web app designed with Streamlit. This web-interface serves as a personal virtual assistant to help you explore information related to Stock Market Investments. From the visualization of recent stock price variations for any of the current S&P 500 companies, to recent articles about these companies, you can explore various sources of information.
Note: This tool is for informational and educational purposes only. Do not rely on this model to make investment decisions. Always consult with a qualified financial advisor before making any investments.
Warning: yfinance may be subject to rate limits. Excessive requests in a short period may result in temporary blocks or degraded performance.
Firstly, ensure that you have uv installed.
Install the required packages.
uv sync
Create an account on newsapi to get an API key. Then add it to the file api_key.json.
uv run streamlit run app.py
-
4.0
- Use uv
-
3.0
- Streamlit POC - web-interface, visualizations of stock prices and articles about a company.
-
2.0
- Dash Proof of Concept: web-interface using Dash, visualizations of stock prices and articles about a company.
-
1.0
- Codejam Submission: web-interface using Flask, language Recognition to record stock trade requests, logistic regression Sentiment Analysis on headlines.
To build on this tool, please fork it and make pull requests. Or simply send me some suggestions !
- Paul Fournier - Initial work - Fournierp
This project is licensed under the Apache License - see the LICENSE.md file for details