Trading in Forex can lead to profit if you react well (by buying and selling money) to dynamic changes in the exchange rates. However, forecasting of the Forex market is very difficult, due to its size, dispersion, and continuous operation. Therefore, the goal of this project is to investigate whether neural networks and deep learning can be used to achieve an accurate data-driven forecast of the Forex market.
Tested on Python 3.6.4. Install the dependencies by running this command in your terminal (python should be added to your PATH):
python -m pip install -r requirements.txt
We connect to a Forex demo account using fxcm fxcmpy docs: https://www.fxcm.com/uk/algorithmic-trading/forex-python/