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 32
... sell signals even as the security moved higher . The stochastic will almost always have you exit from strong performing securities too early . FIGURE 3.2 A NONTRENDING STOCK WITH A NONTRENDING TYPE INDICATOR 32 CHAPTER 3.
... sell signals even as the security moved higher . The stochastic will almost always have you exit from strong performing securities too early . FIGURE 3.2 A NONTRENDING STOCK WITH A NONTRENDING TYPE INDICATOR 32 CHAPTER 3.
Página 36
Maximizing Day Trading and Overnight Profits Mark Jurik. TABLE 3.4 DMI SIGNALS FOR LOUISIANA PACIFIC Buy Date Buy Price Sell Date Sell Price Percent Change 10/16/95 24.625 10/23/95 23.500 -4.569 10/24/95 24.375 11/15/95 23.375 -4.103 11 ...
Maximizing Day Trading and Overnight Profits Mark Jurik. TABLE 3.4 DMI SIGNALS FOR LOUISIANA PACIFIC Buy Date Buy Price Sell Date Sell Price Percent Change 10/16/95 24.625 10/23/95 23.500 -4.569 10/24/95 24.375 11/15/95 23.375 -4.103 11 ...
Página 181
... sell signals , as shown in Figure 11.2 . When the indicator meets the condition that it deems to be bullish for the market in question , it flashes a buy signal , and that signal remains in effect until the indicator meets the condition ...
... sell signals , as shown in Figure 11.2 . When the indicator meets the condition that it deems to be bullish for the market in question , it flashes a buy signal , and that signal remains in effect until the indicator meets the condition ...
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