Cybernetic Trading Strategies explains how advanced technologies can create winning trading strategies. The first book to provide specific instructions and applications on how to develop tradable market timing systems using neural networks, fuzzy logic, genetic algorithms, chaos theory, and machine induction methods. It incorporates the new technologies with classical technical analysis methodologies and guides readers through system testing and reliability.
Introduction:
In this groundbreaking new book, Murray Ruggiero, a leading authority on cybernetic trading systems, unlocks their incredible potential and provides an in-depth look at the growing impact of advanced technologies on intermarket analysis. A unique resource, Cybernetic Trading Strategies provides specific instructions and applications on how to develop tradable market timing systems using neural networks, fuzzy logic, genetic algorithms, chaos theory, and machine induction methods.
Currently utilized by some of the most powerful financial institutions in the world–including John Deere and Fidelity Investments–today’s advanced technologies go beyond subjective interpretations of market indicators to enhance traditional analysis. As a result, existing trading systems gain a competitive edge. Ruggiero reveals how “incorporating elements of statistical analysis, spectral analysis, neural networks, genetic algorithms, fuzzy logic, and other high-tech concepts into a traditional technical trading system can greatly improve the performance of standard trading systems.” For example: spectral analysis can be used to detect when a market is trending earlier than classical indicators such as ADX.
Drawing on his extensive research on market analysis, Ruggiero provides an incisive overview of cyber-systems–systems that, when applied correctly, can increase trading returns by as much as 200% to 300%. The author covers a wide range of important topics, examining classical technical analysis methodologies and seasonal trading, as well as statistically based market prediction and the mechanization of subjective methods such as candlestick charts and the Elliott Wave. Precise explanations and dozens of real-world examples show you how to:
- Incorporate advanced technologies into classical technical analysis methodologies.
- Identify which of these technologies have the most market applicability.
- Build trading systems to maximize reliability and profitability based on your own risk/reward criteria.
Most importantly, Cybernetic Trading Strategies takes you step by step through system testing and evaluation, a crucial step for controlling risk and managing money. With up-to-date information from one of the field’s leading authorities, Cybernetic Trading Strategies is the definitive guide to developing, implementing, and testing today’s cutting-edge computer trading technologies.
Contents:
- Classical Intermarket Analysis as a Predictive Tool
- Seasonal Trading
- Long-Term Patterns and Market Timing for Interest Rates and Stocks
- Trading Using Technical Analysis
- The Commitment of Traders Report
- A Trader’s Guide to Statistical Analysis
- Cycle-Based Trading
- Combining Statistics and Intermarket Analysis
- Using Statistical Analysis to Develop Intelligent Exits
- Using System Feedback to Improve Trading System Performance
- An Overview of Advanced Technologies
- How to Make Subjective Methods Mechanical
- Building the Wave
- Mechanically Identifying and Testing Candlestick Patterns
- Developing a Trading System
- Testing, Evaluating, and Trading a Mechanical Trading System
- Data Preprocessing and Postprocessing
- Developing a Neural Network Based on Standard Rule-Based Systems
- Machine Learning Methods for Developing Trading Strategies
- Using Genetic Algorithms for Trading Applications
Cybernetic Trading Strategies: Developing a Profitable Trading System with State-Of-The-Art Technologies By Murray A. Ruggiero pdf
Bodie Hodges (verified owner) –
Basically, this book itself is a good book, but neural networks are a bit of an overview and application, and I felt that there are few examples of specific systems.
In terms of content, I think there is something that can be obtained by anyone interested in describing the correlation between markets.
Camilla Singleton (verified owner) –
If you want a good overview of Technical Analysis, Artifiial Intelligence, and their combination, this is a good starting point. They do give you some pointers, but that doesn’t start until 3/4 the way through. There is no math in this book! You’ll need something much more in-depth to actually build a system. But if all you want is to see what techniques are out there, this book fares well.
Bentlee Hinton (verified owner) –
I like this book because it is easy to read, it is short and has a good overview of morden methods for stock and commodity trading. Unfortunately author does not give any essential details or any mathematical justification for advanced method like MEM or Chaos and others except for emotions “how wonderful it is” with additional references to other sources that of course, cost money. So I find it difficult to use this book “to develop a profitable system with a state of the art technologies” because it does not have crucial details and therefore I put 3 star for my failed expectations. I recommend this book as an overview only.
Emma Lam (verified owner) –
When I buy a book with the title “CYBERNETIC trading strategies” I expect information on cybernatic trading strategies. This book has very little to do with this subject, it’s more a basic book describing a lot of basic trading information that has already been covered elsewhere. All the information on seasonal patterns, stock market timing, technical analysis, … has been covered before (and often better then in this book).
If the author would have let out the word “cybernetic”, I would have judgded it at that, but now he is just giving it a title which has nothing to do with the book. If you’re really interested in this subject, I would advise the books of John F Ehlers, this guy actually has something to say on this subject.
Jaelynn Bond (verified owner) –
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.
Landyn Johnson (verified owner) –
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.
Mariah Case (verified owner) –
There are only few books available on the subject (which comes at no surprise, as people who know how to write such a book would get tons of money just applying these methods, rather than writing a book). Chapters on basic consepts are worth reading, looks like the author knows what he is talking about. It includes intermarket analysis, seasonal trading and trading using technical indicators. More advanced subjects, such as neural networks, genetic algorithms, machine learning, statistics and others are very weak. Look somewhere else if you want more info on this.
Eve Daniel (verified owner) –
Cybernetic Trading Strategies: Developing a Profitable Trading System with State-of-the-Art Technologies, is the best book I have read to date, this book is filled with any type of information a trader is looking for. I highly recommend this book. I have read other books from this author and am very impressed.
Roger Jacobs (verified owner) –
This book focuses on intramarket trading rountines, by which I mean using one market to estimate the behavior of another before it happens. This idea was first introduced by John Murphy. However, he did not, at that time, present trading paradigms.
In my opinion, Ruggerio does not intend this book to be a complete exposition on intermarket trading systems, much less on “cybernetic trading strategies.” He does present enough examples to show the way to develop your own, presumably more sophisticated intermarket systems. Ruggerio really doesn’t attempt to program and use technical analysis, nor does he claim to. His discussion of neural nets and genetic algorithms are very introductory. These are, however, topics that require at least a book each, absent a very good background by the reader.
In short, this is a pretty decent idea book, or rather approach book dealing with computer driven trading systems which use intermarket analysis. Personally, I think it’s a useful book, even though I don’t use the approach: I’m more technically oriented.
If you are looking for a definitive approach to using modern math to make a zillion dollars while you watch basketball, this isn’t the book. Of course, you won’t find that book, but that is a different discussion. Don’t go here for neural nets or genetic algorithms, either. See Goldman(?) for the latter. I’m no help for the former.
I should note that this book is aimed at commodity traders. Stock traders can make use of the techniques by translating “commodity name” to “sector name,” assuming one uses sector analysis.
Grady Duffy (verified owner) –
the “entropy” or the quantified amount of information in this book can not be measured!