9781119404750 - machine learning and big data with kdb+/q (wiley finance) von novotny, jan; bilokon, paul a.; galiotos, aris; deleze, frederic (9 Ergebnisse)
Sprache: Englisch
Verlag: Wiley 2020
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
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Sprache: Englisch
Verlag: Wiley 2019
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
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Machine Learning and Big Data with KDB+/Q
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Sprache: Englisch
Verlag: John Wiley & Sons 2020
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
- Hardcover
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Machine Learning and Big Data with kdb+/q (Wiley Finance)
Novotny, Jan; Bilokon, Paul A.; Galiotos, Aris; Deleze, Frederic
Sprache: Englisch
Verlag: Wiley 2020
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
- Hardcover
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Sprache: Englisch
Verlag: John Wiley & Sons Inc 2020
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
- Hardcover
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Sprache: Englisch
Verlag: John Wiley & Sons Inc 2020
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
- Hardcover
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Hardcover. Zustand: Sehr gut. Gebraucht - Sehr gut SG - leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - Upgrade your programming language to more effectively handle high-frequency dataMachine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical ent…ry 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 networksThe 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.
Sprache: Englisch
Verlag: John Wiley & Sons Inc 2020
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
- Hardcover
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Hardcover. Zustand: Brand New. 613 pages. 10.00x7.00x1.25 inches. In Stock.
Sprache: Englisch
Verlag: John Wiley & Sons 2019
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
- Hardcover
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Zustand: New. JAN NOVOTNY is an eFX quant trader at Deutsche Bank. Previously, he worked at the Centre for Econometric Analysis on high-frequency econometric models. He holds a PhD from CERGE-EI, Charles University, Prague.PAUL A. BILOKON is CEO and founder of Thalesians.
Sprache: Englisch
Verlag: John Wiley & Sons Dez 2019 2019
Serie: The Wiley Finance, Buch 5 von 17. Buch 5 von 17 - The Wiley Finance
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Neuware - Upgrade your programming language to more effectively handle high-frequency dataMachine 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 networksThe 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.
