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Trading On The Edge: Neural, Genetic, And Fuzzy Systems For Chaotic Financial Markets

Experts from the world's major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic and nonlinear data analysis techniques to enhance profitability. The latest analytical breakthroughs, the impact on modern finance theory and practice, including the best ways for profitably applying them to any trading and portfolio management system, are all covered.

Hardcover: 377 pages

Publisher: Wiley; 1st edition (March 1994)

Language: English

ISBN-10: 0471311006

ISBN-13: 978-0471311003

Product Dimensions: 6.3 x 1.3 x 9.3 inches

Shipping Weight: 1.6 pounds (View shipping rates and policies)

Average Customer Review: 2.7 out of 5 stars  See all reviews (3 customer reviews)

Best Sellers Rank: #1,354,196 in Books (See Top 100 in Books) #17 in Books > Computers & Technology > Programming > Algorithms > Genetic #1082 in Books > Textbooks > Business & Finance > Investments & Securities #9157 in Books > Business & Money > Investing

Discusses financial applications of neural networks, genetic algorithms and fuzzy logic. Is aimed at the beginner to intermediate level. Focuses more on data processing and application than on the actual building of neural nets. Several useful examples are given. Sections are written by experts in that particular field. This is usually advantageous except ocassionally where terminology may not always be consistent between sections. Overall a good book if you know how to write your own NN/GA/FUZZY program or have access to one.

My interest in NN/GA started 3 years ago and I found this book. It covers some advanced methods for trading. But I am not sure whether they are really better than the traditional technical analysis. The results in this book could not prove it. And some authors didn't disclose their methods clearly. It seems to be very common among people who are using NN/GA/fuzzy logic in trading. So it is hard to know the reliability and accuracy of their results. And we cannot repeat their experiments. Personally, I won't use them in trading. I also gradually lose the interest in this area. I would like to know anyone really made profit by using them.

What good is this book withut tradestation code. Eventually you will not use it and will set on your book shelf collecting dust. I suspect the author knows how to program and all other author like him. Topics studied in MS computer science software courses leave it to programers to write, since they are qualified than those who don't know how, But can do research ans sell a book to excited hope to be traders.

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