Название: Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading
Автор: Kevin J. Davey
Издательство: Wiley
Год: 2014
Страниц: 288
Формат: EPUB
Размер: 10 Mb
Язык: English

Develop your own trading system with practical guidance andexpert advice
In Building Algorithmic Trading Systems: A Trader's JourneyFrom Data Mining to Monte Carlo Simulation to Live Training,award-winning trader Kevin Davey shares his secrets for developingtrading systems that generate triple-digit returns. With bothexplanation and demonstration, Davey guides you step-by-stepthrough the entire process of generating and validating an idea,setting entry and exit points, testing systems, and implementingthem in live trading. You'll find concrete rules for increasing ordecreasing allocation to a system, and rules for when to abandonone. The companion website includes Davey's own Monte Carlosimulator and other tools that will enable you to automate and testyour own trading ideas.

A purely discretionary approach to trading generally breaks downover the long haul. With market data and statistics easilyavailable, traders are increasingly opting to employ an automatedor algorithmic trading system—enough that algorithmic tradesnow account for the bulk of stock trading volume. BuildingAlgorithmic Trading Systems teaches you how to develop your ownsystems with an eye toward market fluctuations and the impermanenceof even the most effective algorithm.

Learn the systems that generated triple-digit returns in theWorld Cup Trading Championship
Develop an algorithmic approach for any trading idea usingoff-the-shelf software or popular platforms
Test your new system using historical and current marketdata
Mine market data for statistical tendencies that may form thebasis of a new system
Market patterns change, and so do system results. Pastperformance isn't a guarantee of future success, so the key is tocontinually develop new systems and adjust established systems inresponse to evolving statistical tendencies. For individual traderslooking for the next leap forward, Building Algorithmic TradingSystems provides expert guidance and practical advice.