Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization

• URL: http://arxiv.org/abs/2411.05829v1
• Date: Tue, 05 Nov 2024 22:44:52 GMT
• Title: Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization
• Authors: Shamima Nasrin Tumpa, Kehelwala Dewage Gayan Maduranga,
• Abstract summary: This study explores the use of Recurrent Neural Networks (RNN) for real-time cryptocurrency price prediction and optimized trading strategies. By leveraging RNNs' capability to capture long-term patterns in time-series data, this research aims to improve accuracy in price prediction and develop effective trading strategies.
• Score: 0.5524804393257919
• License:
• Abstract: This study explores the use of Recurrent Neural Networks (RNN) for real-time cryptocurrency price prediction and optimized trading strategies. Given the high volatility of the cryptocurrency market, traditional forecasting models often fall short. By leveraging RNNs' capability to capture long-term patterns in time-series data, this research aims to improve accuracy in price prediction and develop effective trading strategies. The project follows a structured approach involving data collection, preprocessing, and model refinement, followed by rigorous backtesting for profitability and risk assessment. This work contributes to both the academic and practical fields by providing a robust predictive model and optimized trading strategies that address the challenges of cryptocurrency trading.

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