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 286
... problem is to find a way to select a synergistic subset of candidate inputs that best solve the prob- lem . Several approaches to this problem of variable selection have been developed . Most work well on clean data where relationships ...
... problem is to find a way to select a synergistic subset of candidate inputs that best solve the prob- lem . Several approaches to this problem of variable selection have been developed . Most work well on clean data where relationships ...
Página 294
... problem is that any error made in any of the predictions will be magnified many times in this process . If the prediction point is significantly far away , the prediction may have little resemblance to reality . Another approach is ...
... problem is that any error made in any of the predictions will be magnified many times in this process . If the prediction point is significantly far away , the prediction may have little resemblance to reality . Another approach is ...
Página 295
... problem . Is predicting the markets a target recognition problem ? Yes . We are try- ing to recognize if the time is right to buy , sell , or hold . These three are our targets and this problem is posed as a discrete space with three ...
... problem . Is predicting the markets a target recognition problem ? Yes . We are try- ing to recognize if the time is right to buy , sell , or hold . These three are our targets and this problem is posed as a discrete space with three ...
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