Artificial Intelligence Applications on Wall Street
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Andreas S. Weigend
Applications
Artificial Intelligence
Australian Stock Market
Category=KC
Category=KFF
Category=KFFH
Category=KFFM
Category=KJ
Category=UYQ
computational finance techniques
Computational Trade Offs
Computing Topologies
Conflict Resolution Scheme
constraint logic programming
Cost Effective Computation
Directional Filter
Embedding Technical Analysis
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Evan Tick
Exchange Rate
Exchange Rates
Faster Workstation
financial engineering
Financial Forecasting
Financial Swaps
Fine Grained Parallelism
Fixed Market Rate
Foreign Exchange Rates
Ganesh Mani
Gating Network
Genetic Algorithims
genetic algorithms finance
Hidden Units
IBM Stock
Inductive Machine Learning
Investing
Ito Process
LIBOR Rate
market surveillance systems
Mars Model
Network Based Trading Systems
neural network trading
New York Stock Exchange
Niching Method
Paolo Tenti
Peter Goldschmidt
Philip Brown
Recurrent Layer
Recurrent Neural Networks
Rinaldo Digiorgio
Roy S. Freedman
Sam Mahfoud
Sauchi Stephen Lee
Sell Recommendation
Smoothing Parameters
Spot Exchange Rate
Stephen Slade
Stock Market Surveillance
Swap Network
Tim Chenoweth
time series forecasting
Training Window
Wall Street
Zoran ObradoviC
Product details
- ISBN 9781138570832
- Weight: 470g
- Dimensions: 156 x 234mm
- Publication Date: 30 Nov 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Originally published in 1996 as a special issue journal, Artificial Intelligence Applications on Wall Street, presents a series of articles derived from papers at the Third International Conference on Artificial Intelligence Applications on Wall Street. The volume addresses how Artificial Intelligence can be used to address the variety of issues in that arise in the world of investments, such as synthetic instruments, forecasting and surveillance. It examines the potential problems surrounding economic assumption of rationality in a global market, and how artificial intelligence can push the bounds of rationality.
