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# ARIMA model for Stock Prediction
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## Intro
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I have a passion for solving puzzles, and there is no greater puzzle than trying to find excess returns in the equity markets. To begin my journey into algorithmic trading I have made multiple models in varying complexity ranging from naive predictions to a fully convolutional neural network. The purpose of building all these models is to create a framework to build future models off of and eventually a whole training system. In addition, this was an experiment designed to see if complex models such as deep neural networks outperform simple models.
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To begin my journey into algorithmic trading I have made multiple models in varying complexity ranging from naive predictions to a fully convolutional neural network. The purpose of building all these models is to create a framework to build future models off of and eventually a whole training system. In addition, this was an experiment designed to see if complex models such as deep neural networks outperform simple models.
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<span style="display:block;text-align:center">![Spy Chart](/Images/spy_plot.png)</span>

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