The Evaluation And Optimization Of Trading Strategies
Download The Evaluation And Optimization Of Trading Strategies PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Evaluation And Optimization Of Trading Strategies book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
The Evaluation and Optimization of Trading Strategies
A newly expanded and updated edition of the trading classic, Design, Testing, and Optimization of Trading Systems Trading systems expert Robert Pardo is back, and in The Evaluation and Optimization of Trading Strategies, a thoroughly revised and updated edition of his classic text Design, Testing, and Optimization of Trading Systems, he reveals how he has perfected the programming and testing of trading systems using a successful battery of his own time-proven techniques. With this book, Pardo delivers important information to readers, from the design of workable trading strategies to measuring issues like profit and risk. Written in a straightforward and accessible style, this detailed guide presents traders with a way to develop and verify their trading strategy no matter what form they are currently using–stochastics, moving averages, chart patterns, RSI, or breakout methods. Whether a trader is seeking to enhance their profit or just getting started in testing, The Evaluation and Optimization of Trading Strategies offers practical instruction and expert advice on the development, evaluation, and application of winning mechanical trading systems.
Design, Testing, and Optimization of Trading Systems
The title says it all. Concise, straight to the point guidance on developing a winning computer trading system. Copyright © Libri GmbH. All rights reserved.
Applications of Data Mining in E-business and Finance
Contains extended versions of a selection of papers presented at the workshop Data mining for business, held in 2007 together with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Nanjing China--Preface.