Computerized Trading: Maximizing Day Trading and Overnight ProfitsNew York Institute of Finance, 1999 - 415 páginas Discover the answers to all your computerized trading questions, from basic to advanced, in this ground-breaking new guide to successful day trading. Twenty top experts reveal their techniques and strategies for successful computerized trading in this practical guide. |
Dentro del libro
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Página 10
... applying the methodology this book ( Trading with DiNapoli Lev- els ) teaches , it is easy . Essentially you apply the same general criteria to a five - minute chart that you would apply to a monthly . Where you best belong is the ...
... applying the methodology this book ( Trading with DiNapoli Lev- els ) teaches , it is easy . Essentially you apply the same general criteria to a five - minute chart that you would apply to a monthly . Where you best belong is the ...
Página 39
... apply an indicator that works well in trending situations to a nontrending security , you will trade often but will end up sell- ing at about the same level as the purchase price . It is best to apply nontrending type indicators to ...
... apply an indicator that works well in trending situations to a nontrending security , you will trade often but will end up sell- ing at about the same level as the purchase price . It is best to apply nontrending type indicators to ...
Página 317
... applying it in a manner consistent with its capabilities . This differs from traditional ap- plications of this ... apply it most appropriately . " We have learned from much experience that the neural 317 CHAPTER 18 Chapter 18 Case ...
... applying it in a manner consistent with its capabilities . This differs from traditional ap- plications of this ... apply it most appropriately . " We have learned from much experience that the neural 317 CHAPTER 18 Chapter 18 Case ...
Contenido
Chapter | 3 |
Quantifying a Markets Upside and Downside Potential | 12 |
Exiting a Market | 76 |
Derechos de autor | |
Otras 16 secciones no mostradas
Términos y frases comunes
apply approach backtesting bars Bollinger Bands breakout buy signal calculated chart coefficient Coefficient of variation congestion contract data mining data vendors datafeed develop DJIA drawdown equity curve evaluation example Exchange exit Exponential Moving Average Figure formula future fuzzy logic genetic algorithms Index input intraday investors linear losing trades loss Louisiana Pacific method momentum money management moving average neural networks nodes nonlinear pricing nontrending number of trades Omega Research optimization options outlier output pattern percent period portfolio position predict problem programs ratio Relative Strength Index risk run-up sell signals simple moving average Statistical Network Steve Fossett stochastic stop T-bond Table Technical Analysis technical indicators techniques tick tion TradeStation trading performance trading strategy trading system trend trendline uptrend variables volatility volume winning trades zone