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 208
... diversification . In fact , the closest thing to a free lunch in the world of investing is the performance - enhancing benefit from a well - designed diversification strat- egy . Nowhere is this more evident than in futures trading ...
... diversification . In fact , the closest thing to a free lunch in the world of investing is the performance - enhancing benefit from a well - designed diversification strat- egy . Nowhere is this more evident than in futures trading ...
Página 210
... DIVERSIFICATION Not all the benefits of diversification come into play with respect to the diversity of markets available for trading . Trading the same markets using different frames of ref- erence can also provide some of the benefits ...
... DIVERSIFICATION Not all the benefits of diversification come into play with respect to the diversity of markets available for trading . Trading the same markets using different frames of ref- erence can also provide some of the benefits ...
Página 414
... diversification and , 216-217 robust systems , 238-239 , 242-243 , 339 simple , based on premise , 234–236 stops , 244-245 System portfolio optimization efficient portfolios , 211–212 forms of , generally , 210-211 input diversification ...
... diversification and , 216-217 robust systems , 238-239 , 242-243 , 339 simple , based on premise , 234–236 stops , 244-245 System portfolio optimization efficient portfolios , 211–212 forms of , generally , 210-211 input diversification ...
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