| Description |
1 online resource (262 pages) : illustrations |
| Contents |
Contents -- Preface -- Acknowledgements -- Introduction -- Chapter 1: Designing Stock Market Trading Systems -- 1.1 Introduction -- 1.2 Motivation -- 1.3 Scope and data -- 1.4 The efficient market hypothesis -- 1.5 The illusion of knowledge -- 1.6 Investing versus trading -- 1.6.1 Investing -- 1.6.2 Trading -- 1.7 Building a mechanical stock market trading system -- 1.8 The place of soft computing -- 1.9 How to use this book -- Chapter 2: Introduction to Trading -- 2.1 Introduction -- 2.2 Different approaches to trading -- 2.2.1 Direction of trading |
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2.2.2 Time frame of trading2.2.3 Type of behaviour exploited -- 2.2.3.1 Trend-based trading -- 2.2.3.2 Breakout trading -- 2.2.3.3 Momentum trading -- 2.2.3.4 Mean reversion trading -- 2.2.3.5 High frequency trading -- 2.3 Conclusion -- 2.4 The next step -- Chapter 3: Fundamental Variables -- 3.1 Introduction -- 3.1.1 Benjamin Graham and value investing -- 3.2 Informational advantage and market efficiency -- 3.3 A note on adjustments -- 3.4 Core strategies -- 3.4.1 Intrinsic value estimates -- 3.4.2 Fundamental filters -- 3.4.3 Ranking filters |
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3.5 The elements of a fundamentals-based filter3.5.1 Wealth of a firm and its shareholders -- 3.5.1.1 Book value -- 3.5.1.2 Current assets vs. current liabilities -- 3.5.1.3 Leverage metrics -- 3.5.2 Earnings capacity -- 3.5.3 Ability to generate cash -- 3.6 Fundamental ratios and industry comparisons -- 3.7 A final note on cross-country investing and research -- 3.8 The next step -- 3.9 Case Study: Analysing a variable -- 3.9.1 Introduction -- 3.9.2 Example � P/E Ratio -- 3.9.3 Wealth-Lab -- 3.9.4 SPSS -- 3.9.5 Outliers |
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Chapter 4: Technical Variables4.1 Introduction -- 4.1.1 Charting -- 4.1.2 Technical indicators -- 4.1.3 Other approaches -- 4.2 Charting and pattern analysis -- 4.3 Technical indicators -- 4.3.1 Intermarket analysis -- 4.3.2 Moving averages -- 4.3.3 Volume -- 4.3.4 Momentum indicators -- 4.3.4.1 Moving Average Convergence/Divergence (MACD) -- 4.3.4.2 Relative Strength Indicator (RSI) -- 4.4 Alternative approaches -- 4.5 On use and misuse of technical analysis -- Case Study: Does Technical Analysis Have Any Credibility? -- Chapter 5: Soft Computing |
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5.1 Introduction5.1.1 Types of soft computing -- 5.1.2 Expert systems -- 5.1.3 Case-based reasoning -- 5.1.4 Genetic algorithms -- 5.1.5 Swarm intelligence -- 5.1.6 Artificial neural networks -- 5.2 Review of research -- 5.2.1 Soft computing classifications -- 5.2.2 Research into time series prediction -- 5.2.3 Research into pattern recognition and classification -- 5.2.4 Research into optimisation -- 5.2.5 Research into ensemble approaches -- 5.3 Conclusion -- 5.4 The next step -- Chapter 6: Creating Artificial Neural Networks -- 6.1 Introduction |
| Summary |
Everybody knows there is potential to make big money in the stock market. But what most people don't know is how to go about it. This book guides you for building rule-based stockmarket trading systems. It shows you how to design, test and trade a rule-based system. It takes a scientific approach in developing trading systems. In Designing Stock Market Trading Systems Bruce Vanstone and Tobias Hahn guide you through their tried and tested methodology for building rule-based stock market trading systems using both fundamental and technical data. This book shows the steps required to design and test a trading system until a trading edge is found, how to use artificial neural networks and soft computing to discover an edge and exploit it fully. Learn how to build trading systems with greater insight and dependability than ever beforeMost trading systems today fail to incorporate data from existing research into their operation. This is where Vanstone and Hahn's methodology is unique. Designed to integrate the best of past research on the workings of financial markets into the building of new trading systems, this synthesis helps produce stock market trading systems with unrivalled depth and accuracy. This book therefore includes a detailed review of key academic research, showing how to test existing research, how to take advantage of it by developing it into a rule-based trading system, and how to improve it with artificial intelligence techniques. The ideas and methods described in this book have been tried and tested in the heat of the market. They have been used by hedge funds to build their trading systems. Now you can use them too |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
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Online resource; title from PDF title page (ebrary, viewed January 10, 2014) |
| Subject |
Stock exchanges.
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Stock price forecasting.
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Soft computing.
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Stocks.
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stock exchanges.
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Soft computing
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Stock exchanges
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Stock price forecasting
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Stocks
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| Form |
Electronic book
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| Author |
Hahn, Tobias
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| ISBN |
9780857191359 |
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0857191357 |
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