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 295
... network topology must be selected with traditional neural networks . The topology consists of the number of nodes per layer , the number of layers , and the transfer functions ( squashing functions ) to be used . Kolmogorov and Cybenko ...
... network topology must be selected with traditional neural networks . The topology consists of the number of nodes per layer , the number of layers , and the transfer functions ( squashing functions ) to be used . Kolmogorov and Cybenko ...
Página 317
... neural network . A series of neural networks will be developed , each of which shall be responsible for identifying a specific pattern in the market's behavior . A set of rules will then be coded to provide the system with the criteria ...
... neural network . A series of neural networks will be developed , each of which shall be responsible for identifying a specific pattern in the market's behavior . A set of rules will then be coded to provide the system with the criteria ...
Página 319
... neural networks recognize patterns that exist in data within their view . While experience has shown that neural networks cannot identify useful patterns if they are just given relatively raw data and told to find anything that is ...
... neural networks recognize patterns that exist in data within their view . While experience has shown that neural networks cannot identify useful patterns if they are just given relatively raw data and told to find anything that is ...
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