Briefly describe the purpose and scope of the project. Highlight its significance, whether it's a personal learning project, academic exercise, or an industry-related endeavor.
Describe the project in more detail. Explain what the project does, its goals, and the problem it aims to solve or the purpose it serves. Mention any key functionalities or features.
Provide steps on how to get started with the project. Include instructions on how to clone the repository, install necessary dependencies, and set up the environment.
git clone <repository_url>
pip install -r requirements.txt
List the main libraries, frameworks, or tools required to run the project. Include versions if necessary.
- Pandas
- NumPy
- Matplotlib
- Pandas Datareader
- yfinance
Explain how to use the project. Provide code snippets or examples to demonstrate its functionality. Include explanations on how to use different functions or modules.
# Example usage
from your_module import your_function
result = your_function(inputs)
print(result)
Showcase some example use cases, outputs, or visualizations generated by the project. Use images, graphs, or snippets to illustrate the project's capabilities.
Explain how others can contribute to the project. Include guidelines for submitting bug reports, feature requests, or code contributions. Mention any code formatting standards or conventions.
Specify the project's license. Choose an appropriate license and mention any terms or conditions for using or distributing the project.