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 359
... received by their data - vendors ) during which , if received by a subscriber , the exchange charges a fee because the data so received is " fee - liable " ; if received after the end of that interval , they don't charge a fee because ...
... received by their data - vendors ) during which , if received by a subscriber , the exchange charges a fee because the data so received is " fee - liable " ; if received after the end of that interval , they don't charge a fee because ...
Página 371
... received from the datafeed . This setting could occur each time the " market time ” is received , but more typically it is set either when the program is booted or on a daily basis . With the user's own computer clock thereby ...
... received from the datafeed . This setting could occur each time the " market time ” is received , but more typically it is set either when the program is booted or on a daily basis . With the user's own computer clock thereby ...
Página 377
... receiving application ( yours ) needs to support " hot link ” or “ advisory ” client DDE . Your receiving application can ... received , so the time of receipt is saved correctly even if the storage system gets behind . You can save data ...
... receiving application ( yours ) needs to support " hot link ” or “ advisory ” client DDE . Your receiving application can ... received , so the time of receipt is saved correctly even if the storage system gets behind . You can save data ...
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