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 56
... tion is contracting and the market is pausing , waiting , and building something . Congestion building often occurs before a large move , and the MO is a useful indica- tor under these circumstances . This behavior appears to be ...
... tion is contracting and the market is pausing , waiting , and building something . Congestion building often occurs before a large move , and the MO is a useful indica- tor under these circumstances . This behavior appears to be ...
Página 113
... tion size or halt trading . This again can provide an early warning sign that the markets are changing or that a losing streak is occurring ( see Figure 7.11 ) . This chart can also be calculated for average losses as well . As you get ...
... tion size or halt trading . This again can provide an early warning sign that the markets are changing or that a losing streak is occurring ( see Figure 7.11 ) . This chart can also be calculated for average losses as well . As you get ...
Página 121
... tion is that price will move higher . However , if a breakout is followed by lethargic volume , it is considered suspect . • Price congestion may be viewed as a memory of the market that can influence future price movement . If price is ...
... tion is that price will move higher . However , if a breakout is followed by lethargic volume , it is considered suspect . • Price congestion may be viewed as a memory of the market that can influence future price movement . If price is ...
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