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 232
... variables must be added to the equation . If we add a third variable , c , to the equation , we have a parabola , which is represented by the formula : Y = a + bx + cX2 If we add more terms , the curve can move up and down , closely ...
... variables must be added to the equation . If we add a third variable , c , to the equation , we have a parabola , which is represented by the formula : Y = a + bx + cX2 If we add more terms , the curve can move up and down , closely ...
Página 286
... Variable Selection . As part of developing a stock picking system for managing an equity portfolio , several techniques for selecting variables were tested . These included simplistic through esoteric approaches . None but genetic ...
... Variable Selection . As part of developing a stock picking system for managing an equity portfolio , several techniques for selecting variables were tested . These included simplistic through esoteric approaches . None but genetic ...
Página 287
... variables mask the more subtle and at times more powerful predictive nature of other variables when they are all together . Only the ge- netic variable selection approach was able to identify these subsets . When an application starts ...
... variables mask the more subtle and at times more powerful predictive nature of other variables when they are all together . Only the ge- netic variable selection approach was able to identify these subsets . When an application starts ...
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