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 265
... Genetic Algorithms Genetic algorithms ( GAS ) offer a way to optimize complex systems . Inspired by Darwin's theories of evolution , GAs create a solution with the optimal mix of vari- ables the same way nature " creates " a well ...
... Genetic Algorithms Genetic algorithms ( GAS ) offer a way to optimize complex systems . Inspired by Darwin's theories of evolution , GAs create a solution with the optimal mix of vari- ables the same way nature " creates " a well ...
Página 286
... genetic algorithms proved effective . The methods tested were : · • Candidate inputs with the highest correlation to the target output . · Stepwise linear regression inputs with largest coefficients . Selecting the most predictive ...
... genetic algorithms proved effective . The methods tested were : · • Candidate inputs with the highest correlation to the target output . · Stepwise linear regression inputs with largest coefficients . Selecting the most predictive ...
Página 303
... genetic algorithms - by hypothesizing more refined ver- sions of networks that have already exhibited promise . Initially , very simple network models are hypothesized ( i.e. , those that contain only one node ) . The best of these ...
... genetic algorithms - by hypothesizing more refined ver- sions of networks that have already exhibited promise . Initially , very simple network models are hypothesized ( i.e. , those that contain only one node ) . The best of these ...
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