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# V20pyPro
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# V20pyPro
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An extension of the V20py project, Pro is a research orientated project that applies machine learning techniques to predict
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future values of a Forex pair's closing price.
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## Machine Learning Examples
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Exploring pricing data using a variety of machine learning libraries and algorithms. All examples use data from the AUD_JPY csv that contains OHLC and technical indicators' data.
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*Tensorflow NN*
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This is a a FOREX adaptation of Sebastian Heinz's neural network for stocks from his Medium.com article ["A simple deep learning model for stock prediction using TensoFlow"](https://github.com/sebastianheinz/stockprediction).
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Running on the daily AUD/JPY chart, the model reaches decent accuracy in less than 10 epochs.
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