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 15
... simple , weighted , and ex- ponential moving averages . A simple moving average is nothing more than a summa- tion of a number of periods of data , divided by the number of periods . Each time a new increment of data is added , the ...
... simple , weighted , and ex- ponential moving averages . A simple moving average is nothing more than a summa- tion of a number of periods of data , divided by the number of periods . Each time a new increment of data is added , the ...
Página 52
... simple moving average . This is simply an av- erage of some number of data points , say M data points , that is plotted at the last time value . Mathematically , the average best corresponds to the time at the center of the in- terval ...
... simple moving average . This is simply an av- erage of some number of data points , say M data points , that is plotted at the last time value . Mathematically , the average best corresponds to the time at the center of the in- terval ...
Página 225
... simple process to determine which one leads the other and by how much . This will allow us to take advantage of the relationship , by looking for di- vergence between the trends that describe each . For the studies done in this chapter ...
... simple process to determine which one leads the other and by how much . This will allow us to take advantage of the relationship , by looking for di- vergence between the trends that describe each . For the studies done in this chapter ...
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