Cybernetic Trading Strategies: Developing a Profitable Trading System with State-Of-The-Art Technologies

by Murray A. Ruggiero

Book Overview

Ein Überblick über die aktuellsten Technologien zum Aufbau einer Handelsstrategie: neuronale Netzwerke, genetische Algorithmen, Expertensysteme, Fuzzy logic und statistische Mustererkennung. Gezeigt wird, wie diese neuen Methoden in klassische Analysenverfahren integriert werden können. Auch Erläuterungen zur Prüfung und Bewertung existierender Systeme kommen nicht zu kurz.

• Format: Hardcover
• Language: English
• ISBN: 0471149209
• ISBN13: 9780471149200
• Release Date: July 1997
• Publisher: Wiley
• Length: 336 Pages
• Weight: 1.50 lbs.
• Dimensions: 1.1" x 6.3" x 9.3"

Customer Reviews

Excellent

For the date this book was written it did an excellent job at analyzing the market. Some things were far fetched but worth the read for mechanicalized trading.

A book that opens many doors

I found Cybernetic Trading Strategies very informative and useful. As other reviews suggest it is not for the trader who is just coming out of the gate. However, for those with some trading experience, as well as some programming (Easy Language) experience, it can be the door that leads to the next level. I haven't found anything else out there like it. Also, the book generated many additional questions that went beyond the scope of the book. It was a pleasure to be able to pick up the phone and talk to Mr. Ruggiero directly. He is first and formost a systems developer, but he also trades his own stuff. Some books are mostly "fluf" but this book contains many solid ideas. I'd list it as one of the top 5 trading books I've read as well as the best one on intermarket analysis.

This book has set new standard

After reading endless books about "How to" develop and implement systems, I was unable to "develop" and "implement" any sytems with satisfactory level of outcome. However, with the help of this book which goes deep to the core of systems designs and trading strategies, i have now improved considerably my systems' performance. I recomend this books for those serious traders, but there is a pre-condition, you must have at least some programming background. I would like to congratulate Ruggiero and to suggest that he goes further into those topics covering Neural Network, Machine Learning M., and Genetic Algorithms.

An Eye Opener!

I have taken considerable time to compare what I have seen and read in this book with other writings in this area of recent. Even with the passage of almost two years since it's publishing, there is still little of substance to challenge this work by other writings, which serves to justify many of the claims (tested and proven) here. I find it odd that the reviewer from NY would reduce his subjective evaluation of the book simply because Ruggiero answered the phone. This is most certainly a subjective reflection. Many would consider it an opportunity to speak directly with an author, as opposed to an underling. (Mr. Ruggiero states in other work that his focus is on research, not on marketing. Do we want everyone to know this? I don't.) In my own experience with the office, I left a message on voice mail with some specific requests. Lo and behold, a mailer which addresses my specific area of interest was sent to me promplty, along with a catalog, just as I had asked. How many times have we left messages or spoken with receptionists and had NO followup? The lessons to be applied are equally subjective, depending on the perspectives gained from prior experiences. The glass is either half full or it's half empty. You decide.

Computerized traders should take note.

This book is for the computerized trader who is writing his own systems. While many techniques, such as neural nets, are confusing and complex, this book provides insights into what can actually be accomplished. It made me want to put it down to run back to my computer to experiment. If you don't want to copy what you see, your creativity will be enhanced by the explanations given for the examples.