The use of deep learning and neural networks. The focus on mean reversion strategies. The incorporation of the Ornstein-Uhlenbeck process. The application to financial markets and trading.
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This project implements a machine learning solution for predicting and forecasting stock price movements using Long Short-Term Memory (LSTM) neural networks. The system is designed to analyze historical stock data from multiple companies and predict whether stock prices will move up or down in the future.
AbhishekSai1551/Deep-Learning-Enhanced-Mean-Reversion-Trading-System
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This project implements a machine learning solution for predicting and forecasting stock price movements using Long Short-Term Memory (LSTM) neural networks. The system is designed to analyze historical stock data from multiple companies and predict whether stock prices will move up or down in the future.
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