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 52
Maximizing Day Trading and Overnight Profits Mark Jurik. 1050 NASDAQ 1095 03/22/96 1140 1185 04/04/96 1275 FIGURE 4.7 A PLOT OF THE NASDAQ COMPOSITE INDEX SHOWING SUPPORT AND RESISTANCE LEVELS . SUPPORT AND RESISTANCE LEVELS FALL OUTSIDE ...
Maximizing Day Trading and Overnight Profits Mark Jurik. 1050 NASDAQ 1095 03/22/96 1140 1185 04/04/96 1275 FIGURE 4.7 A PLOT OF THE NASDAQ COMPOSITE INDEX SHOWING SUPPORT AND RESISTANCE LEVELS . SUPPORT AND RESISTANCE LEVELS FALL OUTSIDE ...
Página 58
... NASDAQ Composite data shows a slide during the early summer and a partial recovery in late summer . The MO is in negative territory for essentially the entire slide until the double bottom occurs . The MO shows con- gestion building ...
... NASDAQ Composite data shows a slide during the early summer and a partial recovery in late summer . The MO is in negative territory for essentially the entire slide until the double bottom occurs . The MO shows con- gestion building ...
Página 59
... NASDAQ COMPOSITE IN SUMMER AND FALL 1995 . 09/25/95 سروس روده 10/09/95 10/20/95 N 14 BARS NS 10 BARS M 40 BINS 59 BAR PDF 03/01/96 14_7_40_1 700 600 500 400 300 200 100 0 -100 MO & MOS NASDAQ 1260 1206 1152 1098 1044 990 Mobility ...
... NASDAQ COMPOSITE IN SUMMER AND FALL 1995 . 09/25/95 سروس روده 10/09/95 10/20/95 N 14 BARS NS 10 BARS M 40 BINS 59 BAR PDF 03/01/96 14_7_40_1 700 600 500 400 300 200 100 0 -100 MO & MOS NASDAQ 1260 1206 1152 1098 1044 990 Mobility ...
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