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 35
... signals were registered but the majority of them turned out to be whipsaws . The actual signals registered in this example are listed in Table 3.4 . The majority of the signals were unprofitable . FIGURE 3.5 A TRADING STOCK WITH A ...
... signals were registered but the majority of them turned out to be whipsaws . The actual signals registered in this example are listed in Table 3.4 . The majority of the signals were unprofitable . FIGURE 3.5 A TRADING STOCK WITH A ...
Página 36
... signals against the trend of the secu- rity . These indicators give frequent sell signals during a strong advance . These signals should be ignored . This does not mean you should not have an exit system in place . It means that the ...
... signals against the trend of the secu- rity . These indicators give frequent sell signals during a strong advance . These signals should be ignored . This does not mean you should not have an exit system in place . It means that the ...
Página 188
... signals . That could not be said if the 10 - day gain was 0.4 percent following signals . A third question is how much risk has there been following a buy - signal system , or reward following a sell - signal system ? Using a buy - signal ...
... signals . That could not be said if the 10 - day gain was 0.4 percent following signals . A third question is how much risk has there been following a buy - signal system , or reward following a sell - signal system ? Using a buy - signal ...
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