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 41
... congestion and moves to a region of lesser congestion , then there can be fewer potential traders to counteract the move and the move can continue . This is destabilizing . If the move begins in a re- gion of low congestion toward a ...
... congestion and moves to a region of lesser congestion , then there can be fewer potential traders to counteract the move and the move can continue . This is destabilizing . If the move begins in a re- gion of low congestion toward a ...
Página 42
... congestion ; and if the time spent is small , then there is a lack of congestion . An example of a PDF is shown in Figure 4.1 as a bar graph . High bars represent high congestion and low bars represent low congestion . The in- verse ...
... congestion ; and if the time spent is small , then there is a lack of congestion . An example of a PDF is shown in Figure 4.1 as a bar graph . High bars represent high congestion and low bars represent low congestion . The in- verse ...
Página 54
... congestion such as price layering . PDFs also complement other analysis references such as support and resistance and averages . A PDF can identify regions between sup- port and resistance levels as being either high congestion or low ...
... congestion such as price layering . PDFs also complement other analysis references such as support and resistance and averages . A PDF can identify regions between sup- port and resistance levels as being either high congestion or low ...
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