Financial Neural Network Modeling Training Seminar

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CATEGORY: COURSES AND SEMINARS

General Information | Background Information | Details

General Information TOP

Course/Seminar name: Financial Neural Network Modeling Training Seminar

Cost (flat fee or per hour rate): $975 Flat Fee

This course/seminar would be best suited for:

General audience

Course/Seminar taught via:

Direct contact

Brief explanation of Course/Seminar

This seminar is designed for those wishing to take the mystique out of modeling financial markets with neural networks. Our emphasis, primarily devoted to the S&P 500 futures market, is on training the student to model non-linear indicators and trading systems as seen on our website. We reveal all our secrets.

Background Information TOP

Course/Seminar instructor(s): Brian K. Lee

Brief explanation of instructor(s) experience:

All financial models depicted on our website were developed by Brian K. Lee after two years of extensive trial-and-error research and development with neural network technology. No other person or entity holds the rights to these technologies. Brian holds degrees in Industrial Engineering and a MBA. He has been involved in various forms of mathematical modeling / finance for over twenty (20) years. With prior experience in teaching finance at the collegiate level, he is well prepared to serve as the seminar's instructor.

Time required to complete the course/seminar: 1 day

Course/Seminar location(s) (if travel required):

Birmingham, AL or client's site if there are five or more students. Clients pay all travel expenses associated with Instructor's on-site visit in addition to the per student fee.

Details TOP

Markets followed:

Futures

Is a computer required for the course/seminar? No

Is software required for the course/seminar? No

Is software supplied with the course/seminar? No

Resources provided:

Manual(s)

Course/Seminar topics:

Technical analysis
Futures and Options trading
Using charts and indicators
Setting up trading systems
Trading software instruction

Other topics:

Modeling financial markets with Neural Networks

Support:

Online help

Additional comments:

N/A

General Information | Background Information | Details

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