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As the price dataset is chaotic time-series data, I decided to use machine learning model to predict the next possible EUR/USD rate. As you know EUR/USD market is very potential occupies over 95% of the transactions in the Forex market. I tried to use LSTM-CNN model at first but finally I used ESN (Echo State Network). For the back-test, the historical data from Truefx.com was used. Truefx.com supports very good Python API so that we can get both historical data and livefeed according to our demands.
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תיקי עבודות נוספים מאת Eduard Shovkovyi
Computer Vision
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