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 111
... percentage of winning and losing trades . These percentages can be used in chart form to provide valuable in- sight . The percentage charts are running totals based on the sum of all trades . You will find that your system's percent of ...
... percentage of winning and losing trades . These percentages can be used in chart form to provide valuable in- sight . The percentage charts are running totals based on the sum of all trades . You will find that your system's percent of ...
Página 112
... percent to 60 percent range , whereas a short - term oscillator system may range higher : 60 percent to 75 percent . The higher the risk - to - return ratio , the less you have to be correct to make a profit . Traders should always make ...
... percent to 60 percent range , whereas a short - term oscillator system may range higher : 60 percent to 75 percent . The higher the risk - to - return ratio , the less you have to be correct to make a profit . Traders should always make ...
Página 245
... percent per year . Since our test was for 14.6 years , the 2,153.67 per- cent return on account averages about 148 percent per year , which is not bad . The average trade is calculated as the net profit divided by the number of trades ...
... percent per year . Since our test was for 14.6 years , the 2,153.67 per- cent return on account averages about 148 percent per year , which is not bad . The average trade is calculated as the net profit divided by the number of trades ...
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