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000921348 0247_ $$a10.1007/978-981-13-9945-9$$2doi
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000921348 08204 $$a332.0415$$223
000921348 1001_ $$aChan, Jacinta.$$eauthor.
000921348 24510 $$aAutomation of Trading Machine for Traders :$$bHow to Develop Trading Models /$$cJacinta Chan.
000921348 264_1 $$aSingapore :$$bPalgrave Macmillan,$$c2019.
000921348 300__ $$a1 online resource (xx, 130 pages) :$$billustrations 
000921348 336__ $$atext$$btxt$$2rdacontent
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000921348 338__ $$aonline resource$$bcr$$2rdacarrier
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000921348 5050_ $$a1. Introduction to Model Trading -- Chapter -- 2. Technical Indicators: Market Technicians Trading Tools -- 3. Market Data Analysis -- 4. Development of Technical Algorithm Trading Systems -- 5. Development of Artificial Intelligent Algorithm Trading Systems -- 6. Test Results of the Profitability of New Trading Model -- 7. Evaluation and Stops. 8. Conclusion: End of Course and Beginning of Trading.
000921348 506__ $$aAccess limited to authorized users.
000921348 520__ $$aThis Palgrave Pivot innovatively combines new methods and approaches to building dynamic trading systems to forecast future price direction in today's increasingly difficult and volatile financial markets. The primary purpose of this book is to provide a structured course for building robust algorithmic trading models that forecast future price direction. Chan provides insider information and insights on trading strategies; her knowledge and experience has been gained over two decades as a trader in foreign exchange, stock and derivatives markets. She guides the reader to build, evaluate, and test the predictive ability and the profitability of abnormal returns of new hybrid forecasting models.
000921348 650_0 $$aCapital market.
000921348 650_0 $$aInvestment banking.
000921348 650_0 $$aSecurities.
000921348 77608 $$iPrint version: $$z9789811399442
000921348 852__ $$bebk
000921348 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-9945-9$$zOnline Access$$91397441.1
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000921348 983__ $$aOnline
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