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 195
... bars , each with exactly 25 minutes . The 30 - minute chart has nine bars , the last of which is a 15- minute bar . Certainly , if we treat the 15 - minute bar just like a 30 - minute bar , we would be effectively weighting it by a ...
... bars , each with exactly 25 minutes . The 30 - minute chart has nine bars , the last of which is a 15- minute bar . Certainly , if we treat the 15 - minute bar just like a 30 - minute bar , we would be effectively weighting it by a ...
Página 202
... bars . Tick volume bars simply increment each bar by the number of ticks as opposed to the number of minutes . With regard to a tick bar , the open is the price of the first transaction that occurred in that bar's set of ticks , the ...
... bars . Tick volume bars simply increment each bar by the number of ticks as opposed to the number of minutes . With regard to a tick bar , the open is the price of the first transaction that occurred in that bar's set of ticks , the ...
Página 204
... bars , certainly of a third of a day or less , tick bars provide a superior trading vehicle . When setting tick volume bars , we recommend using a Fibonacci number ( such as 8 ticks per bar , or 34 ticks per bar ) or the average of two ...
... bars , certainly of a third of a day or less , tick bars provide a superior trading vehicle . When setting tick volume bars , we recommend using a Fibonacci number ( such as 8 ticks per bar , or 34 ticks per bar ) or the average of two ...
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