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. |
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Página 267
... fuzzy logic for representing human concepts on a " gray scale , " and neural nets for function approximation . The growing number of investors that incorporate chaos , ge- netic algorithms , neural nets , and fuzzy logic is an ...
... fuzzy logic for representing human concepts on a " gray scale , " and neural nets for function approximation . The growing number of investors that incorporate chaos , ge- netic algorithms , neural nets , and fuzzy logic is an ...
Página 268
... fuzzy logic , see Cox , E. , Fuzzy Logic for Business and Industry , Rock- land , MA : Charles River Media , 1995 . 11. A WWW site for exploring neural networks with Mathematica TM and for exploring with MAT- LAB TM is Error ! Bookmark ...
... fuzzy logic , see Cox , E. , Fuzzy Logic for Business and Industry , Rock- land , MA : Charles River Media , 1995 . 11. A WWW site for exploring neural networks with Mathematica TM and for exploring with MAT- LAB TM is Error ! Bookmark ...
Página 277
... fuzzy logic to do the computations . Other techniques like the Generalized Regression Neural Network ( GRNN ) or kernel density regression can be used as well . - li By way of explanation of the formula , the degree of membership of DOM ...
... fuzzy logic to do the computations . Other techniques like the Generalized Regression Neural Network ( GRNN ) or kernel density regression can be used as well . - li By way of explanation of the formula , the degree of membership of DOM ...
Contenido
Chapter | 3 |
Quantifying a Markets Upside and Downside Potential | 12 |
Exiting a Market | 76 |
Derechos de autor | |
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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