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A guide to creating a successful algorithmic trading strategy /
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 succes...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley and Sons, Inc.,
2016.
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| Colección: | Wiley trading series.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Kaufman, Perry J., |e author. | |
| 245 | 1 | 2 | |a A guide to creating a successful algorithmic trading strategy / |c Perry J. Kaufman. |
| 264 | 1 | |a Hoboken, New Jersey : |b John Wiley and Sons, Inc., |c 2016. | |
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| 520 | |a 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.-Navigate confusing markets -Find the right trades and make them -Build a successful algo trading system -Turn insights into profitable strategies 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 | ||
| 505 | 0 | |a Series; Title Page; Copyright; Acknowledgments; Chapter 1: A Brief Introduction: The Ground Rules; My Objective; The Ground Rules; The Process; Basic Trading Systems; Chapter 2: The Idea; Begin at the Beginning; The Idea Must Match Your Trading Personality; I Need a Fast Payout; Withstanding the Test of Time; Chapter 3: Don't Make It Complex; A Word About Noise; Integrated Solutions Versus Building Blocks; More Rules, Fewer Opportunities, Less Success; Chapter 4: Why Should I Care about "Robust" If I'm Trading Only Apple?; Is It Robust?; Another Dimension. | |
| 505 | 8 | |a But Which Parameter Value Do I Trade?Multiple Time Frames; Is One Trend Method Better Than Another?; Chapter 5: Less Is More; Volatility Cuts Both Ways; Bull Markets Happen When Everyone Is in Denial; Chapter 6: If You're a Trend Follower, Don't Use Profit-Taking or Stops; The Dynamics of a Trend Strategy; It's Getting Harder to Find the Trend; The Eurodollar Trend; Where Do You Place Your Stop?; What About Profit-Taking?; Entering on a Pullback; Which Is the Best Trend-Following Method?; Chapter 7: Take Your Profit If You're a Short-Term Trader. | |
| 505 | 8 | |a What's Bad for the Trend Is Good for the Short-Term TraderIf You Can't Use Stops for Trend Following, Can You Use Them for Short-Term Trading?; There Are Always Exceptions; Chapter 8: Searching for the Perfect System; Looking at the Results; How Much Data and How Many Trades Are Enough?; So, Which Parameter Value Do I Pick?; Chapter 9: Equal Opportunity Trading; Calculating Position Size; Avoid Low-Priced Stocks; True Volatility-Adjusting Doesn't Work for a Portfolio of Stocks; Risk in Futures; Target Risk; Calculate the Rate of Return for the Portfolio; Assigning Risk to Your Portfolio. | |
| 505 | 8 | |a Multiple Strategies Are More ImportantNot So Easy for the Institutions; Too Much of a Good Thing Can Be Bad; Chapter 10: Testing-The Fork in the Road; Let the Computer Solve It for You; How Do You Evaluate the Results?; What's Feedback?; Hidden Danger; Forgotten History; Use True Costs; Use Dirty Data; Back-Adjusted and Split-Adjusted Data; The Different Performance Measures; Interpreting the Ratio; Not Everyone Uses the Information Ratio; Number of Trades; Expectations; Chapter 11: Beating It into Submission; Fixing Losing Periods; Use the Average Results; Squeezing the Life Out of a System. | |
| 505 | 8 | |a Generalizing the RulesChapter 12: More on Futures; Leverage; Conversion Factors for Calculating Returns; Don't Forget FX; FX Quotes; Real Diversification; The Life Cycle of a Commodity Market; Chapter 13: I Don't Want No Stinkin' Risk; A Clear Plan; Avoid Low-Priced Stocks; Volatility Over 100%?; Don't Trade When Volatility Is Very High; Sidestepping Price Shocks; Portfolio Drawdown; Business Risk; Gearing Back Up; Chapter 14: Picking the Best Stocks (and Futures Markets) for Your Portfolio; Asking Too Much; The Practical Solution; Ranking Success; Rotation. | |
| 542 | |f Copyright © Wiley |g 2016 | ||
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