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Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

Parsing binary ITCH messages

The ITCH v5.0 specification declares over 20 message types related to system events, stock characteristics, the placement and modification of limit orders, and trade execution. It also contains information about the net order imbalance before the open and closing cross.

The Nasdaq offers samples of daily binary files for several months. The GitHub repository for this chapter contains a notebook, build_order_book.ipynb that illustrates how to parse a sample file of ITCH messages and reconstruct both the executed trades and the order book for any given tick.

The following table shows the frequency of the most common message types for the sample file date March 29, 2018:

Message type

Order book impact

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Publisher Resources

ISBN: 9781789346411Supplemental Content