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 36
... give bad signals against the trend . Does this mean the indicator should be ignored ? Not so fast . By making adjustments to an indicator's interpreta- tion , we can effectively apply a nontrending indicator to a trending security . The ...
... give bad signals against the trend . Does this mean the indicator should be ignored ? Not so fast . By making adjustments to an indicator's interpreta- tion , we can effectively apply a nontrending indicator to a trending security . The ...
Página 54
... gives an advance warning of an up- coming test of support or resistance . Other variations are also possible as ... give a precise com- parison of congestion levels . Consequently , the analysis was reformatted using con- gestion as ...
... gives an advance warning of an up- coming test of support or resistance . Other variations are also possible as ... give a precise com- parison of congestion levels . Consequently , the analysis was reformatted using con- gestion as ...
Página 91
... give the trade 3 days to work out , perhaps 5 or 7 might be better . Conversely if a market has been very volatile , you may want to shorten the time stop . Figure 6.13 uses three days for the trade to work out . Why three days ? Only ...
... give the trade 3 days to work out , perhaps 5 or 7 might be better . Conversely if a market has been very volatile , you may want to shorten the time stop . Figure 6.13 uses three days for the trade to work out . Why three days ? Only ...
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