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 98
... futures contract at a predetermined price in the future . The two sets of options are puts and calls . Puts represent the right to sell a futures contract at some predetermined price at the expiration date of the op- tion . For example ...
... futures contract at a predetermined price in the future . The two sets of options are puts and calls . Puts represent the right to sell a futures contract at some predetermined price at the expiration date of the op- tion . For example ...
Página 102
... trading is deter- mining the number of contracts to trade . While no one approach is the best , some guidelines to follow include looking at margin requirements . Each futures contract has a posted margin that you must have in your ...
... trading is deter- mining the number of contracts to trade . While no one approach is the best , some guidelines to follow include looking at margin requirements . Each futures contract has a posted margin that you must have in your ...
Página 210
... futures contracts , in which the expected cross correlations between them is close to zero , would also give an ex- pected return equal to an average of their respective returns . This is no different from the stock portfolio . Yet the ...
... futures contracts , in which the expected cross correlations between them is close to zero , would also give an ex- pected return equal to an average of their respective returns . This is no different from the stock portfolio . Yet the ...
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