Details

A Guide to Creating A Successful Algorithmic Trading Strategy

Wiley Trading 1. Aufl.

von: Perry J. Kaufman
40,99 €
Verlag:	Wiley
Format:	EPUB
Veröffentl.:	14.01.2016
ISBN/EAN:	9781119224754
Sprache:	englisch
Anzahl Seiten:	192

In den Warenkorb

Als Gutschein

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

Titelbeschreibung

Turn insight into profit with guru guidance toward successful algorithmic trading A Guide to Creating a Successful Algorithmic Trading Strategy provides the latest strategies from an industry guru to show you how to build your own system from the ground up. If you're looking to develop a successful career in algorithmic trading, this book has you covered from idea to execution as you learn to develop a trader's insight and turn it into profitable strategy. You'll discover your trading personality and use it as a jumping-off point to create the ideal algo system that works the way you work, so you can achieve your goals faster. Coverage includes learning to recognize opportunities and identify a sound premise, and detailed discussion on seasonal patterns, interest rate-based trends, volatility, weekly and monthly patterns, the 3-day cycle, and much more—with an emphasis on trading as the best teacher. By actually making trades, you concentrate your attention on the market, absorb the effects on your money, and quickly resolve problems that impact profits. Algorithmic trading began as a "ridiculous" concept in the 1970s, then became an "unfair advantage" as it evolved into the lynchpin of a successful trading strategy. This book gives you the background you need to effectively reap the benefits of this important trading method. <ul> <li>Navigate confusing markets</li> <li>Find the right trades and make them</li> <li>Build a successful algo trading system</li> <li>Turn insights into profitable strategies</li> </ul> Algorithmic trading strategies are everywhere, but they're not all equally valuable. It's far too easy to fall for something that worked brilliantly in the past, but with little hope of working in the future. A Guide to Creating a Successful Algorithmic Trading Strategy shows you how to choose the best, leave the rest, and make more money from your trades.

Inhaltsverzeichnis

Acknowledgments xi Chapter 1 A Brief Introduction: The Ground Rules 1 My Objective 2 The Ground Rules 3 The Process 3 Basic Trading Systems 6 Chapter 2 The Idea 9 Begin at the Beginning 9 The Idea Must Match Your Trading Personality 11 I Need a Fast Payout 12 Withstanding the Test of Time 13 Chapter 3 Don’t Make It Complex 15 A Word about Noise 17 Integrated Solutions versus Building Blocks 18 More Rules, Fewer Opportunities, Less Success 19 Chapter 4 Why Should I Care about “Robust” If I’m Trading Only Apple? 21 Is It Robust? 22 Another Dimension 25 But Which Parameter Value Do I Trade? 27 Multiple Time Frames 28 Is One Trend Method Better Than Another? 29 Chapter 5 Less is More 33 Volatility Cuts Both Ways 34 Bull Markets Happen When Everyone is in Denial 36 Chapter 6 If You’re a Trend Follower, Don’t Use Profit-Taking or Stops 39 The Dynamics of a Trend Strategy 42 It’s Getting Harder to Find the Trend 42 The Eurodollar Trend 43 Where Do You Place Your Stop? 45 What about Profit-Taking? 46 Entering on a Pullback 47 Which is the Best Trend-Following Method? 48 Chapter 7 Take Your Profit If You’re a Short-Term Trader 51 What’s Bad for the Trend is Good for the Short-Term Trader 53 If You Can’t Use Stops for Trend Following, Can You Use Them for Short-Term Trading? 55 There Are Always Exceptions 56 Chapter 8 Searching for the Perfect System 59 Looking at the Results 61 How Much Data and How Many Trades Are Enough? 62 So, Which Parameter Value Do I Pick? 63 Chapter 9 Equal Opportunity Trading 65 Calculating Position Size 66 Avoid Low-Priced Stocks 66 True Volatility-Adjusting Doesn’t Work for a Portfolio of Stocks 67 Risk in Futures 67 Target Risk 68 Calculate the Rate of Return for the Portfolio 69 Assigning Risk to Your Portfolio 72 Multiple Strategies Are More Important 73 Not So Easy for the Institutions 75 Too Much of a Good Thing Can Be Bad 75 Chapter 10 Testing—The Fork in the Road 79 Let the Computer Solve It for You 81 How Do You Evaluate the Results? 83 What’s Feedback? 84 Hidden Danger 86 Forgotten History 86 Use True Costs 87 Use Dirty Data 89 Back-Adjusted and Split-Adjusted Data 91 The Different Performance Measures 92 Interpreting the Ratio 92 Not Everyone Uses the Information Ratio 93 Number of Trades 94 Expectations 94 Chapter 11 Beating It into Submission 97 Fixing Losing Periods 97 Use the Average Results 99 Squeezing the Life Out of a System 101 Generalizing the Rules 105 Chapter 12 More on Futures 107 Leverage 108 Conversion Factors for Calculating Returns 109 Don’t Forget FX 110 FX Quotes 111 Real Diversification 113 The Life Cycle of a Commodity Market 115 Chapter 13 I Don’t Want No Stinkin’ Risk 117 A Clear Plan 119 Avoid Low-Priced Stocks 120 Volatility Over 100%? 121 Don’t Trade When Volatility is Very High 122 Sidestepping Price Shocks 122 Portfolio Drawdown 123 Business Risk 124 Gearing Back Up 125 Chapter 14 Picking the Best Stocks (and Futures Markets) for Your Portfolio 127 Asking Too Much 127 The Practical Solution 128 Ranking Success 130 Rotation 132 Chapter 15 Matching the Strategy to the Market 133 Noise for Stocks 134 Noise for ETFs 136 Noise for Futures 136 Chapter 16 Constructing a Trend Strategy 139 The Trend 140 Buying and Selling Rules 141 First Tests 141 Costs 143 Expectations 143 Satisfying the First Milestone 144 Profit-Taking 146 Volatility Filter 148 Combining Rules 149 Multiple Entries and Exits 150 More Markets, More Robustness 151 Stabilizing the Risk 152 Do It Yourself 153 Chapter 17 Constructing an Intraday Trading Strategy 155 The Time Frame 156 Outline 157 Deciding on the Strategy 158 Choosing a Strategy 158 Directional or Mean Reverting 159 The Basic Rules 160 The Breakout Rule 161 Profit Taking and Extreme Volatility 162 What About the Trend? 163 Chapter 18 Summary 167 Resources 169 System Development Platforms 169 Blogs 170 Periodicals 171 Perry Kaufman Websites 172 Index 173

Autorenportrait

PERRY J. KAUFMAN is a leading investment consultant with more than forty years of experience in the equity and derivatives markets. He is the author of twelve trading books, including Trading Systems and Methods, Fifth Edition; A Short Course in Technical Trading; Smarter Trading; and Global Equity Investing. Perry continues to be a pioneer in the use of computer models for making financial decisions.

Back cover copy

THE NO-FRILLS APPROACH TO BUILDING SUCCESSFUL ALGORITHMIC TRADING SYSTEMSWhen Perry Kaufman started creating automated systems to trade in the early 1970s, the very idea was demeaned by professional traders as “ridiculous.” Now, high-frequency trading is attacked for its unfair advantage that “steals money from the ordinary investor.” In A Guide to Creating a Successful Algorithmic Trading Strategy, Perry puts the power in your hands by pulling back the curtain on algorithmic trading.Whether you’re a professional trader or money manager looking to perfect your own automated trading system or an individual investor who wants financial control with today’s technological advantages, this compact guide gives you a sophisticated approach to building successful algo trading systems in a user-friendly, how-to format. More than merely a step-by-step book to backtesting, this expert guide culls the author’s vast experience over forty years, through all types of markets, to illustrate why achieving success in trading is not about buying and selling at a profit, but fully hinges on developing the right trades and then managing their risk. The proven guidelines inside for building a reliable trading system from the ground up give you the necessary theory and historical perspective to develop your system with confidence and the technical know-how to fine-tune it to your specific parameters and risk. Keep the expertise sought after the world over at your fingertips to: <ul><li>Include the right depth of rules in your algorithms</li> <li>Avoid common traps at each step of development and testing</li> <li>Know exactly when your algo system is ready to stop paper trading and make real profits</li></ul> A cornerstone principle of this succinct guidebook is simplicity, and from the underlying trading best practices to designing the systems themselves, a straightforward approach is preferred and proven to win the day. Many algorithmic systems fail when they are finally launched into the market, but A Guide to Creating a Successful Algorithmic Trading Strategy will show you the pitfalls and process for greatly improving your ability to succeed. Once you’ve read this book you’ll want to reread it again and again until you’ve made it part of your own way of working.From developing insights as a trader and turning those insights into profitable strategies all the way to the critical realities of trading for a living—this masterpiece guide boils down more than four decades of high-level experience into a clear framework that lets you compete with the experts.