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It sounds too good to be true. A small group of savvy traders are tapping into the intuitive, number-crunching power of neural networks to pinpoint trending markets and make more profitable decisions. Now Ed Gately shows the rest of us how to use, construct, and apply neural nets--the brains of artificial intelligence--to automate trading systems for maximum profit.
|Ch. 1||Biological Brain and Artificial Neural Networks (ANN)||1|
|Ch. 2||Overview of Artificial Neural Networks||9|
|Ch. 3||Choosing What Is to Be Predicted and Selecting Appropriate Inputs||20|
|Ch. 4||Input Selection||32|
|Ch. 5||Preparing Data||48|
|Ch. 6||Other Ways to Manipulate Data||61|
|Ch. 7||Training and Network Architectures||70|
|Ch. 8||Lessons in Starting and Stopping Training||89|
|Ch. 9||Developing a Network to Forecast the S&P 500 Ten Days into the Future||96|
|Appendix A A Case Study||131|
|Appendix B Neural Shell - Market Indicators||135|
|Appendix C Suppliers of Neural Network Software||141|
Posted March 11, 2000
Disappointing. Little is said about the theory of neural networks, and the example of a network to forecast the S&P 500 violates one of the basic rules presented earlier in the book: that nets are better at forecasting changes than absolute levels. Basic computer procedures are included, which is superficial to anyone interested in this topic.Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.