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 127
Maximizing Day Trading and Overnight Profits Mark Jurik. Backtesting MICHAEL DE LA MAZA " Will my trading strategy be profitable ? " After having gone through the arduous pro- cess of crafting a trading strategy , that is the question ...
Maximizing Day Trading and Overnight Profits Mark Jurik. Backtesting MICHAEL DE LA MAZA " Will my trading strategy be profitable ? " After having gone through the arduous pro- cess of crafting a trading strategy , that is the question ...
Página 128
Maximizing Day Trading and Overnight Profits Mark Jurik. simple : A trading strategy should be tested by going back in time and running the trading strategy as if your historical data were real - time data . An example helps to ...
Maximizing Day Trading and Overnight Profits Mark Jurik. simple : A trading strategy should be tested by going back in time and running the trading strategy as if your historical data were real - time data . An example helps to ...
Página 129
... trading strategy . Out - of - sample data is the data used to test the trading strategy . A cardinal rule of backtesting is : In - sample data should be completely separate from the out - of - sample data . The out - of - sample data ...
... trading strategy . Out - of - sample data is the data used to test the trading strategy . A cardinal rule of backtesting is : In - sample data should be completely separate from the out - of - sample data . The out - of - sample data ...
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