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 131
... data set , the rest assigned as in - sam- ple , and partial system development continues some more . The process ... MINING CORRECTION FORMULA The Markowitz / Xu data mining correction formula is a little known but extremely powerful ...
... data set , the rest assigned as in - sam- ple , and partial system development continues some more . The process ... MINING CORRECTION FORMULA The Markowitz / Xu data mining correction formula is a little known but extremely powerful ...
Página 136
... data mining correction will , in the end , prevent false optimism and lead to higher profits . REFERENCES Kaufmann , Perry and Schwager , Jack D. , Smarter Trading : Improving Performance in Changing Markets , McGraw - Hill , 1995 ...
... data mining correction will , in the end , prevent false optimism and lead to higher profits . REFERENCES Kaufmann , Perry and Schwager , Jack D. , Smarter Trading : Improving Performance in Changing Markets , McGraw - Hill , 1995 ...
Página 305
... data collection , problem analysis , ap- proach design , model evaluation , and trading system development . Compared with traditional neural network technology , Statistical Networks excel at estimating con- tinuous ... Data Mining 305.
... data collection , problem analysis , ap- proach design , model evaluation , and trading system development . Compared with traditional neural network technology , Statistical Networks excel at estimating con- tinuous ... Data Mining 305.
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