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Machine Learning and Big Data with kdb+/q
Machine Learning and Big Data with Kdb+/q
by Novotny, Jan;Bilokon, Paul A.;Galiotos, Aris;Deleze, Frederic;

English | 2020 | ISBN: ‎ 1119404754 | 640 pages | True PDF | 6.58 MB
Upgrade your programming language to more effectively handle high-frequency data
Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading.
The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing “bible”-type reference, this book is designed with a focus on real-world practicality ­to help you quickly get up to speed and become productive with the language.


Machine Learning and Big Data with kdb+/q


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