ds4finance

A collection of data science tools for finance.

Installation

Install the package from PyPI using pip:

pip install ds4finance

Usage

To use the package, import it using the alias dsf:

import ds4finance as dsf

Example: Computing Standard Deviation

import pandas as pd
import ds4finance as dsf

# Load or create a DataFrame containing financial data
data = pd.read_csv("your_data.csv")

# Compute the annualized standard deviation for the data
std_dev = dsf.compute_std_dev(data)

License

This project is licensed under the MIT License. See the LICENSE.txt file for more information.

Contributing

We welcome contributions to the project. If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Make your changes, and ensure that the code follows PEP 8 guidelines.
4. Submit a pull request to the main repository.

Support

If you encounter any issues or have questions, please open an issue on the GitHub repository.

Authors

• Luis Silva - [email protected]