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 49
... FIGURE 4.3 SINCE THE INTERVALS ARE 2 TIMES SMALLER AND THE PDF IS NOT NORMALIZED BY THE INTERVAL SIZE . THE IMPORTANT THING IS THAT THE SHAPE IS ESSENTIALLY THE SAME AS THAT IN FIGURE 4.3 . 0.1200 PDF CHART 06/14/96 ( N = 14 M = 20 ) ...
... FIGURE 4.3 SINCE THE INTERVALS ARE 2 TIMES SMALLER AND THE PDF IS NOT NORMALIZED BY THE INTERVAL SIZE . THE IMPORTANT THING IS THAT THE SHAPE IS ESSENTIALLY THE SAME AS THAT IN FIGURE 4.3 . 0.1200 PDF CHART 06/14/96 ( N = 14 M = 20 ) ...
Página 67
... Figure 5.3 , Spyglass breaks below a crucial support level , which happens to be its new yearly low , and prices break down . The Reversal Roles of Support and Resistance Once price breaks below a support , that support line becomes its ...
... Figure 5.3 , Spyglass breaks below a crucial support level , which happens to be its new yearly low , and prices break down . The Reversal Roles of Support and Resistance Once price breaks below a support , that support line becomes its ...
Página 134
... Figure 8.4 shows a spreadsheet with all the numbers calculated from daily returns of three hypothetical trading system strategies . Figures 8.5 and 8.6 show , in full detail , the formulas in the spreadsheet in Figure 8.4 . Note that in ...
... Figure 8.4 shows a spreadsheet with all the numbers calculated from daily returns of three hypothetical trading system strategies . Figures 8.5 and 8.6 show , in full detail , the formulas in the spreadsheet in Figure 8.4 . Note that in ...
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