• Corpus ID: 245650168

LSTM Architecture for Oil Stocks Prices Prediction

@article{Firouzjaee2022LSTMAF,
  title={LSTM Architecture for Oil Stocks Prices Prediction},
  author={Javad Taghizadeh Firouzjaee and Pouriya Khaliliyan},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.00350}
}
Oil companies are among the largest companies in the world whose economic indicators in the global stock market have a great impact on the world economy and market due to their relation to gold, crude oil, and the dollar. To quantify these relations we use the correlation feature and the relationships between stocks with the dollar, crude oil, gold, and major oil company stock indices, we create datasets and compare the results of forecasts with real data. To predict the stocks of different… 

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