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Timeseries Compute Documentation
====================================

Welcome to the **Timeseries Compute** project documentation!  
This project is a pet project for recreating a thesis in Python, focusing on time series modeling using ARIMA and GARCH models for financial data analysis, volatility forecasting, and market spillover effects.

Project Overview
----------------

Timeseries Compute provides tools for:

* Synthetic time series data generation with controlled properties
* Data preprocessing and transformation for time series analysis
* ARIMA modeling for conditional mean forecasting
* GARCH modeling for volatility forecasting
* Multivariate GARCH for correlation analysis
* Market spillover effects analysis

Project Links
-------------
- **PyPI package**: `<https://pypi.org/project/timeseries-compute/>`_
- **GitHub source code:** `<https://github.com/garthmortensen/timeseries-compute>`_
- **ReadTheDocs**: `<https://timeseries-compute.readthedocs.io/en/latest/>`_

Contents
--------

.. toctree::
   :maxdepth: 2
   
   installation
   examples
   api
   modules

Indices and Tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`