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Kissell - The Science of Algorithmic Trading, 2e, Kissell, Robert


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Автор: Kissell, Robert
Название:  Kissell - The Science of Algorithmic Trading, 2e
ISBN: 9780128156308
Издательство: Elsevier Science
Классификация:





ISBN-10: 0128156309
Обложка/Формат: Paperback
Страницы: 550
Вес: 1.40 кг.
Дата издания: 01.08.2019
Язык: English
Издание: 2 ed
Размер: 229 x 152 x 32
Основная тема: Psychology and Neuroscience
Подзаголовок: Applications using advanced statistics, optimization, and machine learning techniques
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание:

The Science of Algorithmic Trading and Portfolio Management, Second Edition includes new chapters and new subjects. Increasing its focus on trading strategies and methods, it includes new insights about the evolution of financial markets, pre-trade models and post-trade analysis, liquidation cost and risk analysis required for regulatory reporting, and compliance and regulatory reporting requirements. Highlighting new investment styles, it adds new material on best execution processes for investors and brokers, including model validation, quality and assurance, limit order model testing, and smart order model testing. Using basic programming tools such as Excel, MATLAB, and Python, it provides a process to create TCA low cost exchange traded funds.

  • Provides insights into all necessary components of algorithmic trading, including transaction costs analysis, market impact, risk and optimization, and a thorough and detailed discussion of trading algorithms
  • Includes increased coverage of mathematics, statistics and machine learning
  • Presents broad coverage of Alpha Model construction



      Старое издание
The Science of Algorithmic Trading and Portfolio Management,

Автор: Robert Kissell
Название: The Science of Algorithmic Trading and Portfolio Management,
ISBN: 0124016898 ISBN-13(EAN): 9780124016897
Издательство: Elsevier Science
Цена: 8588.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: Discusses algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. This title helps readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems.


The Science of Algorithmic Trading and Portfolio Management,

Автор: Robert Kissell
Название: The Science of Algorithmic Trading and Portfolio Management,
ISBN: 0124016898 ISBN-13(EAN): 9780124016897
Издательство: Elsevier Science
Рейтинг:
Цена: 8588.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Discusses algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. This title helps readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems.

Ultimate Algorithmic Trading System Toolbox

Автор: Pruitt George
Название: Ultimate Algorithmic Trading System Toolbox
ISBN: 111909657X ISBN-13(EAN): 9781119096573
Издательство: Wiley
Рейтинг:
Цена: 11563.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The accessible, beneficial guide to developing algorithmic trading solutions The Ultimate Algorithmic Trading System Toolbox is the complete package savvy investors have been looking for.

A Guide to Creating a Successful Algorithmic Trading Strategy

Автор: Kaufman Perry J.
Название: A Guide to Creating a Successful Algorithmic Trading Strategy
ISBN: 1119224748 ISBN-13(EAN): 9781119224747
Издательство: Wiley
Рейтинг:
Цена: 7920.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Turn insight into profit with guru guidance toward successful algorithmic trading A Guide to Creating a Successful Algorithmic Trading Strategy provides the latest strategies from an industry guru to show you how to build your own system from the ground up.

Building Algorithmic Trading Systems

Автор: Davey Kevin
Название: Building Algorithmic Trading Systems
ISBN: 1118778987 ISBN-13(EAN): 9781118778982
Издательство: Wiley
Рейтинг:
Цена: 10771.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader`s Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns.

Algorithmic and High-Frequency Trading

Автор: Cartea
Название: Algorithmic and High-Frequency Trading
ISBN: 1107091144 ISBN-13(EAN): 9781107091146
Издательство: Cambridge Academ
Рейтинг:
Цена: 9504.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This cutting-edge textbook shows how to build the advanced mathematical models that underpin modern trading algorithms. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this book is for you.

Algorithmic Trading

Автор: Chan Ernie
Название: Algorithmic Trading
ISBN: 1118460146 ISBN-13(EAN): 9781118460146
Издательство: Wiley
Рейтинг:
Цена: 9504.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Focuses on quantitative trading. This book offers readers an insight into how and why each trading strategy was developed, how it was implemented, and even how it was coded. It is suitable for anyone looking to create their own systematic trading strategies.

Algorithmic Trading & Quantitative

Автор: Velu
Название: Algorithmic Trading & Quantitative
ISBN: 1498737161 ISBN-13(EAN): 9781498737166
Издательство: Taylor&Francis
Рейтинг:
Цена: 19140.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies.


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