LSTM Architecture for Oil Stocks Prices Prediction

Machine Learning, which is one of the subfields of Artificial Intelligence, has its applications in various fields including Economics, Medicine [1], Cosmology [2], Particle physics [3], Robotics [4], etc. The machine learns and models based on non-explicit programming based on the datasets that we have collected in the preprocessed datasets, and we compare the modeled data with the real data. Thus, we can see the data extent accurately which is modeled by the machine. Artificial Neural Networks are derived from Natural Neural Networks in living things, which are a subset of Machine Learning, designed to predict responses from complex systems. One of the most famous neural networks is Recurrent Neural Networks or RNNs that function close to the human brain. We know that the largest market in the field of Energy belongs to the oil companies. In the field of oil, there are large companies around the world that have a very high impact. In the world economy, oil can be considered the most vital factor of the economy, because, for example, if the export or import of oil from many countries is sanctioned, the economy of that country will be practically paralyzed, especially for countries with Oil-dependent economies, eg.