Project information

  • Category: Financial Analysis & Machine Learning
  • Client: All
  • Project date: 19th January, 2024 to 20th Apr, 2024

Project detail

  • The project adopts LSTM, a type of Recurrent Neural Network (RNN) known for its ability to remember information for long periods, which is crucial for time series forecasting tasks like stock price prediction. LSTM networks are capable of learning order dependence in sequence prediction problems. This characteristic will benefit the project by effectively capturing the temporal dependencies in stock price movements, leading to more accurate predictions.
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