building winning algorithmic trading systems website a trader s journey from data mining to monte carlo simulation

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Building Winning Algorithmic Trading Systems

Author : Kevin J. Davey
ISBN : 9781118778883
Genre : Business & Economics
File Size : 29. 37 MB
Format : PDF
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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.

Smart Computing Applications In Crowdfunding

Author : Bo Xing
ISBN : 9781351265072
Genre : Business & Economics
File Size : 69. 16 MB
Format : PDF, Docs
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The book focuses on smart computing for crowdfunding usage, looking at the crowdfunding landscape, e.g., reward-, donation-, equity-, P2P-based and the crowdfunding ecosystem, e.g., regulator, asker, backer, investor, and operator. The increased complexity of fund raising scenario, driven by the broad economic environment as well as the need for using alternative funding sources, has sparked research in smart computing techniques. Covering a wide range of detailed topics, the authors of this book offer an outstanding overview of the current state of the art; providing deep insights into smart computing methods, tools, and their applications in crowdfunding; exploring the importance of smart analysis, prediction, and decision-making within the fintech industry. This book is intended to be an authoritative and valuable resource for professional practitioners and researchers alike, as well as finance engineering, and computer science students who are interested in crowdfunding and other emerging fintech topics.

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