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This project aimed to develop a model for predicting the price movements of the EUR/USD currency pair in the foreign exchange market using both fundamental and technical analysis. The model achieved an accuracy of over 50% in predicting the correct direction of price movements.

Python 42.45% PureBasic 42.53% Jupyter Notebook 15.02%
financial-analysis lstm-model machine-learning

forex's Introduction

Hi there 👋

I'm an undergrad at Rice interested in computer science, machine learning, and robotics.

My projects include a dual LSTM model for Forex prediction, a computer vision target detection and classification pipeline for the SUAS drone competition, and person re-identification.

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