Electronic and Algorithmic Trading Technology: The Complete Guide Paperback - 2007 - 1st Edition
by KIM, Kendall
- Used
- Fine
A$32.49
A$10.11
Delivery within USA
Standard delivery: 6 to 14 days
More delivery options
Standard delivery: 6 to 14 days
Details
- Title Electronic and Algorithmic Trading Technology: The Complete Guide
- Author KIM, Kendall
- Binding Paperback
- Edition number 1st
- Edition 1
- Condition Used - Fine
- Pages 224
- Volumes 1
- Language ENG
- Publisher Elsevier, Amsterdam
- Publication date 2007
- Illustrated Yes
- Features Bibliography, Glossary, Illustrated, Index, Table of Contents
- Bookseller's Inventory # 310953
- ISBN 9780123724915 / 0123724910
- Weight 0.8 lbs (0.36 kg)
- Dimensions 8.92 x 6.12 x 0.68 in (22.66 x 15.54 x 1.73 cm)
- Category Business / Economics / Finance
- Library of Congress subjects Stock exchanges, Program trading (Securities)
- Library of Congress Catalogue Number 2007013849
- Dewey Decimal Code 332.64
- Quantity available 1
About Argosy Book Store New York, United States
Specialising in: Americana, Antiquarian, Art, Autographs, History, Maps, Modern First Editions, Rare Books, Signed Books
Biblio member since 2004
We are a large retail store, with 6 floors of out-of-print and rare books, (including, Americana, modern first editions, history of medicine and science), antique maps and prints, autograph manuscripts, letters & signatures.
Reader reviews for Electronic and Algorithmic Trading Technology: The Complete Guide
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information