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
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