Computerized Trading: Maximizing Day Trading and Overnight ProfitsDiscover 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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Page 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 ...
Page 102
... 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 account to trade one position for that ...
... 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 account to trade one position for that ...
Page 210
... futures groups as diverse as energies , currencies , interest rate ... contracts , in which the expected cross correlations between them is close to zero , would also ... contract . OTHER FORMS OF DIVERSIFICATION Not all the benefits of ...
... futures groups as diverse as energies , currencies , interest rate ... contracts , in which the expected cross correlations between them is close to zero , would also ... contract . OTHER FORMS OF DIVERSIFICATION Not all the benefits of ...
Contents
Chapter | 3 |
Quantifying a Markets Upside and Downside Potential | 12 |
Exiting a Market | 76 |
Copyright | |
16 other sections not shown
Common terms and phrases
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