A simple stock price prediction tool using machine learning with TensorFlow, scikit-learn, pandas, Matplotlib, NumPy, and Keras. The project fetches data from Yahoo Finance.
The Stock Price Predictor leverages machine learning techniques to analyze historical stock data and make predictions about future stock prices. The primary focus is on implementing various algorithms, data preprocessing techniques, and model evaluation for accurate predictions.
This is machine learning model is quite good in making predictions about the closing price of the stock or crypto. You can customize it to know the all other factors of the stock like opening price and many more.
HERE ARE SOME SAMPLES OF THIS MODEL :
- Historical stock data analysis
- Machine learning models for stock price prediction
- Data fetched from Yahoo Finance
- Data visualization using Matplotlib
- Utilizes TensorFlow, scikit-learn, pandas, NumPy, and Keras
Main.py: Main script for fetching data and running the prediction model
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Install the required dependencies:
pip install tensorflow scikit-learn pandas matplotlib numpy keras
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Run the main script:
python Main.py
This will fetch data from Yahoo Finance and run the stock price prediction model.
We welcome contributions from the community! If you want to contribute to the project, feel free to fork the repository, make your changes, and submit a pull request.
Please review our Code of Conduct before contributing to the project. We aim to foster an inclusive and welcoming community.
This project is licensed under the MIT License.