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عنوان
Applications of computational intelligence in data-driven trading /

پدید آورنده
Cris Doloc.

موضوع
Computational intelligence, Case studies.,Financial engineering, Case studies.,Machine learning, Case studies.,Computational intelligence.,Financial engineering.,Machine learning.

رده
HG176
.
7
.
D65
2020

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1119550521
(Number (ISBN
9781119550525
Erroneous ISBN
1119550513
Erroneous ISBN
9781119550501
Erroneous ISBN
9781119550518

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Applications of computational intelligence in data-driven trading /
General Material Designation
[Book]
First Statement of Responsibility
Cris Doloc.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Hoboken, New Jersey
Name of Publisher, Distributor, etc.
Wiley,
Date of Publication, Distribution, etc.
[2020]

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (xv, 272 pages)

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
The evolution of trading paradigms -- The role of data in trading and investing -- Artificial intelligence : between myth and reality -- Computational intelligence : a principled approach for the era of data exploration -- How to apply the principles of CI in quantitative finance -- Case study 1 : optimizing trade execution -- Case study 2 : the dynamics of the limit order book -- Case study 3 : applying ML to portfolio management -- Case study 4 : applying ML to market making -- Case study 5 : applications of ml to derivatives valuation -- Case study 6 : using ML for risk management and compliance -- Conclusions and future directions.
0

SUMMARY OR ABSTRACT

Text of Note
"The objective of this book is to introduce the reader to the field of Computational Finance using the framework of Machine Learning as a tool of scientific inquiry. It is an attempt to integrate these two topics: how to use Machine Learning as the tool of choice in solving topical problems in Computational Finance. Readers will learn modern methods used by financial engineers and quantitative analysts to access, process, and interpret data. Throughout, there are case studies that are representative of relevant problems in modern finance. Topics covered include Time Series analysis, forecasting, Dynamic Programming, and Neural Networks"--

OTHER EDITION IN ANOTHER MEDIUM

Title
Applications of computational intelligence in data-driven trading
International Standard Book Number
9781119550501

TOPICAL NAME USED AS SUBJECT

Computational intelligence, Case studies.
Financial engineering, Case studies.
Machine learning, Case studies.
Computational intelligence.
Financial engineering.
Machine learning.

DEWEY DECIMAL CLASSIFICATION

Number
332
.
640285/63
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
HG176
.
7
Book number
.
D65
2020

PERSONAL NAME - PRIMARY RESPONSIBILITY

Doloc, Cris,1963-

ORIGINATING SOURCE

Date of Transaction
20200822154723.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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