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. |
Dentro del libro
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Página 13
... trend in the market , recognize when changes in that trend are at hand , and at- tempt to profit from the new trend for as long as it remains in effect . Technical indicators are tools that have been developed over time to assist the ...
... trend in the market , recognize when changes in that trend are at hand , and at- tempt to profit from the new trend for as long as it remains in effect . Technical indicators are tools that have been developed over time to assist the ...
Página 226
... trend : Y1 = Y - Y1 = Y- ( a + bX ) where Y is the transformed ( detrended ) value of Y. The trend can be determined in a number of ways . A generally accepted ap- proach is to draw a two - dimensional linear regression line , using the ...
... trend : Y1 = Y - Y1 = Y- ( a + bX ) where Y is the transformed ( detrended ) value of Y. The trend can be determined in a number of ways . A generally accepted ap- proach is to draw a two - dimensional linear regression line , using the ...
Página 323
... trend " is a situation in which a trend in the movement of the market has clearly been established , but the market reverses for a short time before continuing in the direction of the trend . The key is to jump in at the extreme of the ...
... trend " is a situation in which a trend in the movement of the market has clearly been established , but the market reverses for a short time before continuing in the direction of the trend . The key is to jump in at the extreme of the ...
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