Financial time series forecasting applying deep learning algorithms

This project presents a deep learning algorithm for intraday stock prices forecasting of Amazon, Inc. Deep learning methods can identify and analyze complex patterns and interactions within the data allowing to optimize the trading process. This study focuses on deep architectures such as convolutio...

• Váldodahkki: Solís Garcés, Erik David (author)
• Materiálatiipa: bachelorThesis
• Giella: eng
• Almmustuhtton: 2021
• Fáttát: Aprendizaje profundo; Redes neuronales convolucionales; Redes neuronales recurrentes; Redes neuronales profundas; Error absoluto medio; Deep learning (DL); Convolutional neural networks (CNN); Long shot-term memory (LSTM); Densely-connected neural networks (NN); Mean absolute error (MAE)
• Liŋkkat: http://repositorio.yachaytech.edu.ec/handle/123456789/397