An edition of Trading agents (2011)

Trading agents

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February 25, 2022 | History
An edition of Trading agents (2011)

Trading agents

Automated trading in electronic markets is one of the most common and consequential applications of autonomous software agents. Design of effective trading strategies requires thorough understanding of how market mechanisms operate, and appreciation of strategic issues that commonly manifest in trading scenarios. Drawing on research in auction theory and artificial intelligence, this book presents core principles of strategic reasoning that apply to market situations. The author illustrates trading strategy choices through examples of concrete market environments, such as eBay, as well as abstract market models defined by configurations of auctions and traders. Techniques for addressing these choices constitute essential building blocks for the design of trading strategies for rich market applications. The lecture assumes no prior background in game theory or auction theory, or artificial intelligence.

Publish Date
Publisher
Morgan & Claypool
Language
English

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Edition Availability
Cover of: Trading agents
Trading agents
2011, Morgan & Claypool
electronic resource / in English

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Book Details


Table of Contents

Preface
1. Introduction
1.1 What is a trading agent?
1.2 Bargaining and trading
1.3 Arbitrage agents
1.4 This lecture
1.5 Bibliographic notes
2. Example: bidding on eBay
2.1 eBay auction rules
2.2 Timing
2.3 Pricing the offer
2.4 Shopping
2.5 Strategy lessons
3. Auction fundamentals
3.1 Auctions and markets
3.2 Basic auction types
3.2.1 First-price sealed bid
3.2.2 Second-price sealed bid
3.2.3 Sidebar: back to eBay
3.2.4 English open outcry auctions
3.2.5 Dutch auctions
3.3 Interdependent values
3.3.1 Modeling interdependence
3.3.2 Winner's curse
3.3.3 Bidding with interdependent values
3.4 Strategy lessons
3.5 Bibliographic notes
4. Continuous double auctions
4.1 CDA operation
4.2 One-shot double auctions
4.2.1 Single-unit traders
4.2.2 Multiunit traders
4.3 CDA strategies
4.3.1 Strategic issues for CDAs
4.3.2 Experimental CDA research
4.3.3 Adaptive CDA bidding strategies
4.3.4 Heuristic belief learning
4.3.5 Strategies from finance research
4.4 Empirical game-theoretic analysis
4.4.1 EGTA methodology
4.4.2 Empirical CDA game
4.5 Lessons for CDA strategy
5. Interdependent markets
5.1 Dealing with multiple markets
5.2 Simultaneous one-shot markets
5.2.1 Bidding with given prices
5.2.2 Bidding with price distributions
5.3 Price prediction
5.4 Simultaneous ascending auctions
5.4.1 SAA operation
5.4.2 SAA strategy
5.4.3 Empirical game-theoretic analysis
5.5 Strategy lessons
5.6 Bibliographic notes
6. Conclusion
6.1 Trading agent architecture
6.2 Basic bidding cycle
6.2.1 Update market state
6.2.2 Predict prices
6.2.3 Optimize target bundle
6.2.4 Compute bids
6.3 Trading agent research
Bibliography
Author's biography.

Edition Notes

Part of: Synthesis digital library of engineering and computer science.

Series from website.

Includes bibliographical references (p. 83-92).

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Published in
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Series
Synthesis lectures on artificial intelligence and machine learning -- # 12
Other Titles
Synthesis digital library of engineering and computer science.

Classifications

Dewey Decimal Class
006.3
Library of Congress
QA76.76.I58 W457 2011

The Physical Object

Format
[electronic resource] /

Edition Identifiers

Open Library
OL25542425M
Internet Archive
tradingagents00well
ISBN 13
9781598296068, 9781598296051

Work Identifiers

Work ID
OL16933940W

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February 25, 2022 Edited by ImportBot import existing book
July 28, 2014 Created by ImportBot import new book