Ned Gandevani

Winning Edge Trading (eBook, PDF)

Successful and Profitable Short- and Long-Term Systems and Strategies

• Format: PDF

Produktbeschreibung

An innovative and comprehensive approach to profitable tradingin these turbulent times Winning Edge Trading shows how to trade any market forgreat profits. Using the unique and innovative trading strategiesand systems outlined here, you can trade stocks, ETFs, and futuresto achieve market-beating returns. Written by system developer Dr.Ned Gandevani, this book provides an antidote to active investorsand traders who are frustrated by stagnant and declining markets.Dr. Gandevani shows you how to maximize your profit whileminimizing your risk with his innovative and comprehensiveapproach, and then reveals how to profit from market swings. Inaddition to providing a simple and easy-to-execute trading system,Dr. Gandevani also explains how you can determine your risktolerance and choose a compatible system for maximumperformance. * Details the tools used to trade short or long time frames * Explores how the Relative Strength Indicator and DetrendedPrice Oscillator can help you determine when to enter and exit atrade * Discusses psychological issues involved in active trading,including the inability to take a loss, overtrading, tradingpersonality, and system compatibility Winning Edge Trading contains the information you need tobecome a successful active investor and trader in today's dynamicmarkets.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 256
• Erscheinungstermin: 30. Oktober 2009
• Englisch
• ISBN-13: 9780470561812
• Artikelnr.: 37297274

Autorenporträt

Ned Gandevani, PhD, is a professional trader and developer of the renowned Wining Edge Systems, which is based on chaos theory. He has trained and coached many professional traders for more than a decade and written numerous articles, which have been published in magazines such as Technical Analysis of Stocks and Commodity, Futures, and Stocks, Futures, and Options (SFO). Dr. Gandevani is a member of the American Finance Association (AFA), the Society of Quantitative Analysts (SQA), and an affiliate member of the Market Technician Association (MTA). He teaches graduate-level and MBA courses at Keller Graduate School of Management in Long Island City and Manhattan.