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MeatPy

The Market Empirical Analysis Toolbox for Python

Project Description

The goal of this project is to provide a standard framework for processing and analysing high-frequency financial data.

MeatPy currently supports Nasdaq ITCH 5.0. It can easily be adapted to process event-time data from multiple financial exchanges and formats.

Documentation

The latest documentation can be found at https://meatpy.readthedocs.io/en/latest/.

Team

MeatPy was created by Vincent Grégoire (HEC Montréal) and Charles Martineau (University of Toronto). Javad YaAli (Polytechnique Montréal) provided valuable research assistance on the project.

Funding

MeatPy development benefited from the financial support of IVADO

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Market Empirical Analysis Toolbox for Python

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