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Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets (Wiley Finance)From Wiley
PDF Ebook Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets (Wiley Finance)From Wiley
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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.
- Sales Rank: #1940120 in eBooks
- Published on: 2007-12-10
- Released on: 2007-12-10
- Format: Kindle eBook
From the Publisher
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.
From the Back Cover
Only a decade ago, spreadsheets were first invented for financial applications. At the time they were considered sophisticated modeling tools. Today machine intelligence is a core concept in describing advanced technologies that can develop more sophisticated models. Neural networks, genetic algorithms, and fuzzy systems provide new opportunities for automated trading, risk, and portfolio management. Machine learning techniques are quietly being used by investment managers for stock selection, bond pricing, foreign exchange trading, and market and bankruptcy predictions, as well as many other applications. They are the next step in the evolution of investment technology. Now, Trading on the Edge lets you in on this evolution. Assembled and edited by Guido J. Deboeck, a pioneer in the introduction of new technologies and financial applications of neural nets at the World Bank, this book is the product of more than a dozen authors around the globe who, over the past several years, have used these advanced technologies for investment management. The contributions from these experts demystify the application of these techniques and explore their impact on modern finance theory and practice. Most importantly, they show you how to apply those powerful techniques to automate trading, reduce risk, and improve portfolio management. Clearly, concisely, and in terms that traders and investment managers can relate to, this book shows how neural networks can learn complex patterns from vast quantities of data and generalize with amazing speed from learned experiences; how genetic algorithms can evolve solutions to problems in the way nature does; how fuzzy systems provide concrete solutions toproblems based on vague parameters; and how nonlinear dynamics, fractal analysis, and chaos theory define order in what once were considered random changes in financial markets. The real-life case studies provided by these experts delineate proven strategies for applying advanced technologies to trading, risk, and portfolio management. The empirical insights in this book demonstrate that it is possible to trade financial markets more intelligently and to account for a wider range of information, more patterns, and differences in time horizons and mental models of market participation, all of which affect the behavior of investors. More intelligent trading in financial markets could benefit the economy as a whole. Trading on the Edge offers you an incomparable opportunity to learn about these powerful advanced technologies, which will lead the financial world into the 21st century.
Most helpful customer reviews
42 of 44 people found the following review helpful.
Covers a lot.
By A Customer
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.
15 of 23 people found the following review helpful.
Hi-tech is always the best???????????
By Robert Goodman
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.
3 of 23 people found the following review helpful.
Waste if money
By zzz
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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