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 14
... direction . The price patterns resulting from this consolidation phase frequently give the analyst highly profitable clues as to future price direction . Some patterns , such as wedges , pennants , and flags , are considered ...
... direction . The price patterns resulting from this consolidation phase frequently give the analyst highly profitable clues as to future price direction . Some patterns , such as wedges , pennants , and flags , are considered ...
Página 61
... direction of the price move usually follows in the same direction as the oscillator move , but not always . Sometimes there is a little reverse blip before the stronger move in the other direction . Be careful . 5. Consider other ...
... direction of the price move usually follows in the same direction as the oscillator move , but not always . Sometimes there is a little reverse blip before the stronger move in the other direction . Be careful . 5. Consider other ...
Página 185
... Direction is Determined By Whether it is Higher or Lower Than it Was Five Weeks Ago Mode Returns Regardless 200 of Big Mo's Direction 173 149 128 Big Mo % Gain Per % Time Annum 128 110 110 95 60-100 24.6 39.5 95 40-60 8.0 32.4 82 ⚫0-40 ...
... Direction is Determined By Whether it is Higher or Lower Than it Was Five Weeks Ago Mode Returns Regardless 200 of Big Mo's Direction 173 149 128 Big Mo % Gain Per % Time Annum 128 110 110 95 60-100 24.6 39.5 95 40-60 8.0 32.4 82 ⚫0-40 ...
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