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Machine Learning and Big Data with kdb+/q: Q, High Frequency Financial Data and

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ISBN-13
9781119404750
Book Title
Machine Learning and Big Data with kdb+/q
ISBN
9781119404750
Publication Year
2019
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Machine Learning and Big Data with Kdb+/Q
Item Height
252mm
Author
Paul A. Bilokon, Frederic Deleze, Jan Novotny, Aris Galiotos
Publisher
John Wiley & Sons Inc
Item Width
173mm
Subject
Accounting
Item Weight
1218g
Number of Pages
640 Pages

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Product Information

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. Understand why kdb+/q is the ideal solution for high-frequency data Delve into meat of q programming to solve practical economic problems Perform everyday operations including basic regressions, cointegration, volatility estimation, modelling and more Learn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data - more variables, more metrics, more responsiveness and altogether more moving parts. Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools.

Product Identifiers

Publisher
John Wiley & Sons Inc
ISBN-13
9781119404750
eBay Product ID (ePID)
2317418509

Product Key Features

Author
Paul A. Bilokon, Frederic Deleze, Jan Novotny, Aris Galiotos
Publication Name
Machine Learning and Big Data with Kdb+/Q
Format
Hardcover
Language
English
Subject
Accounting
Publication Year
2019
Type
Textbook
Number of Pages
640 Pages

Dimensions

Item Height
252mm
Item Width
173mm
Item Weight
1218g

Additional Product Features

Title_Author
Aris Galiotos, Paul A. Bilokon, Jan Novotny, Frederic Deleze
Series Title
Wiley Finance
Country/Region of Manufacture
United States

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增值稅識別編號:
  • AU 82107909133
  • GB 293967539
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