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Artificial neural networks were trained to recognize patterns in stock price action across four major categories of US companies. Results showed a strong correlation between market metrics and price movement. A network producing profitable expected behavior predictions for GE in 2006 was created.
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Howard, Maxwell, "Pattern Seeking Behavior: Multilayer Perceptron and Back Propagation with Momentum Applied to Stock Price Movements in 2006" (2012). Senior Projects Spring 2012. 282.
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