By some estimates, quantitative (or algorithmic) trading now accounts for over one-third of trading volume in the United States. While institutional traders continue to implement this highly effective approach, many independent traders—with limited resources and less computing power—have wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, author Dr. Ernest Chan, a respected independent trader and consultant, will show you how.
Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.
Organized around the steps you should take to start trading quantitatively, this book skillfully addresses how to:
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Find a viable trading strategy that you're both comfortable with and confident in
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Backtest your strategy—with MATLAB®, Excel, and other platforms—to ensure good historical performance
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Build and implement an automated trading system to execute your strategy
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Scale up or wind down your strategies depending on their real-world profitability
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Manage the money and risks involved in holding positions generated by your strategy
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Incorporate advanced concepts that most professionals use into your everyday trading activities
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And much more
While Dr. Chan takes the time to outline the essential aspects of turning quantitative trading strategies into profits, he doesn't get into overly theoretical or sophisticated theories. Instead, he highlights the simple tools and techniques you can use to gain a much-needed edge over today's institutional traders.
And for those who want to keep up with the latest news, ideas, and trends in quantitative trading, you're welcome to visit Dr. Chan's blog, epchan.blogspot.com, as well as his premium content Web site, epchan.com/subscriptions, which you'll have free access to with purchase of this book.
As an independent trader, you're free from the con-straints found in today's institutional environment—and as long as you adhere to the discipline of quantitative trading, you can achieve significant returns. With this reliable resource as your guide, you'll quickly discover what it takes to make it in such a dynamic and demanding field.
这是一本由www.epchan.com的创始人Ernest P. Chan撰写的量化投资理论的matlab技术实现的巨著,之中的很多观点非常新颖,他的量化投资策略在近些年的金融及债务危机中获得了十分优良的收益。值得技术开发者作为知识扩充储备来阅读
假期里拜读了这本14年出的量化专著,感觉很有必要做一下总结,故胡言乱语如下: 1.首先本书不太值得购买,为什么?因为不到200页,电子版不仅很清晰,而且可以照着书中的Matlab敲代码。这也是本书最大的亮点,可以从一个专业从业者的角度窥探对代码如何处理,特别是在向量化回...
评分paper testing, paper testing.
评分a few formulas.
评分2009年1月读 薄薄一本书,卖得还挺贵,谁让时下automated trading这么热呢?作为入门,给本科生的教材,大体讲得还不错。不过已经是trader了就觉得太浅了。
评分不错的入门书。
评分a few formulas.
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