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A Guide to Creating A Successful Algorithmic Trading Strategy (Wiley Trading), by Perry J. Kaufman
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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.
- Sales Rank: #349110 in Books
- Published on: 2016-02-01
- Original language: English
- Number of items: 1
- Dimensions: 7.30" h x .80" w x 5.40" l, .0 pounds
- Binding: Hardcover
- 192 pages
Most helpful customer reviews
0 of 0 people found the following review helpful.
Well, in my opinion this is an honest book ...
By Andrey Solovyev
Well, in my opinion this is an honest book. The author clearly describes a process of system creation, and, obviously, the author has a lot of personal experience. But, don't expect to find here any breakthrough - if you did by your own hands at least one system, everything mentioned in this book should be familiar to you.
Indeed, some of his remarks - ie on trading details, what works and what doesn't, are worth of paying attention to, but it is the other story, a story of a trader, sharing his memories. And it is not you were lookinig for by purchasing this book.
It is a rare case I give three stars, as I expected to meet more deepness and focus from this book.
0 of 0 people found the following review helpful.
Four Stars
By TC
A lot of insights.
2 of 3 people found the following review helpful.
Common Sense Guide to Profitable Trading Strategy
By L. Masonson
In this 177-pge compact guide, Kaufman provides a viable approach and with tools that anyone can use to develop a successful trading strategy if they are serious, disciplined and can follow rules without letting emotions get in the way. This book covers a trend following system using moving averages that also encompasses discussions of volatility, risk and cost, including profit-taking an stops.
The author provides the exact guidelines for building a reliable trading system, as well as illustrating a strategy with back-tests on different moving averages lengths using Apple and Eurodollar interest rates. He discovered that long-term trend following is profitable using a wide range of medium- to-slow trends (e.g., 60 to 120 days).
Moving averages, breakouts and linear regression are the main ways to identify the trend. He prefers the breakout approach which buys new highs and sells new lows. Risk controls are critically important and must be used all the time.
It is imperative to find a trading idea that is compatible with your personality and trading style no matter what your trading timeframe is, according to the author. That is because there are many profitable trading strategies that can be employed, as long as the investor is observant and willing to take the risk.
Trading ideas should be easily understood and not complex. Kaufman states: “The perfect tools for getting it wrong are genetic algorithms, neural networks and optimization. They are useful tools but over abused.” He likes to use building blocks testing each rule separately and then together for a possible integrated solution.
Successful systematic traders use a robust system with a few rules and they have the discipline to follow it. Long-term trend following is robust and it is a popular methodology since many variations work. Kaufman measures robustness as the percentage of profitable trades. In the back-tests, approximately 70% should be successful. It is necessary to include all costs –commission, slippage and any borrowing costs-- in the back-tests to ensure accurate results.
According to Kaufman, “Being in the market less often can have important advantages.” The author found that short-term trading produces a smoother equity curve than longer-term trend trading. A smart strategy is to book a decent profit with less exposure to the daily market fluctuations. He discovered that only 30% of the trend trades are profitable, thus the winner’s need to be much larger than the losers. He believes that fiddling with the date to create new rules to get better results will most likely lead to worse results and bigger losses in real-time going forward.
The author prefers a breakout system to moving averages since they have fewer trades and more understandable entry points. He further suggests that long-term trend followers not use stops or profit-taking approaches, but short-term traders should take small profits and small losses. He urges investors to take positions of equal risk with proper position sizing to manage risk. Moreover, he suggests using up to four different trading strategies for diversification purposes.
Kaufman prefers fully automated trading which he began using in the early 1970s. He believes that a system needs only a few rules and should work in multiple markets if it is to be reliable going forward. He provides an eight-step process for developing a trading system using a trading platform to test out ideas. In the back of the book, Kaufman provides system platform websites, as well as websites for blogs and periodicals. Overall, the author provides a well-written guide to making money in the markets. Those individuals that can adhere to rule-based decision-making will be able to get the most out of this book.
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