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. |
Dentro del libro
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Página 137
Maximizing Day Trading and Overnight Profits Mark Jurik. Evaluating Trading Performance DAVID STENDAHL Performance evaluation is critical to the design , development , and monitoring of a trading system . Traders and investors alike need ...
Maximizing Day Trading and Overnight Profits Mark Jurik. Evaluating Trading Performance DAVID STENDAHL Performance evaluation is critical to the design , development , and monitoring of a trading system . Traders and investors alike need ...
Página 140
Maximizing Day Trading and Overnight Profits Mark Jurik. And most important . . • Do you really know your trading system well enough to trade it with complete confidence ? The next few sections will help traders answer these tough ...
Maximizing Day Trading and Overnight Profits Mark Jurik. And most important . . • Do you really know your trading system well enough to trade it with complete confidence ? The next few sections will help traders answer these tough ...
Página 159
... System A $ 100,000 System B $ 100,000 60 % 100 % Table 9.12 shows a simple side - by - side comparison of two trading systems . We can evaluate them based on percent - in - the - market . With all things equal , and with time as the ...
... System A $ 100,000 System B $ 100,000 60 % 100 % Table 9.12 shows a simple side - by - side comparison of two trading systems . We can evaluate them based on percent - in - the - market . With all things equal , and with time as the ...
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