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Predicting the Bitcoin's price using AI.

Gil Cohen1, Avishay Aiche1

  • 1Department of Management, Western Galilee Academic College, Acre, Israel.

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|May 9, 2025
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Summary
This summary is machine-generated.

Artificial Intelligence (AI) significantly boosted Bitcoin investment returns, outperforming Machine Learning (ML) and traditional strategies. AI adapts to market changes, showcasing its potential in cryptocurrency trading and portfolio management.

Keywords:
AIBitcoinalgorithmcryptocurrenciesmachine learning

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Area of Science:

  • Computational Finance
  • Artificial Intelligence in Finance
  • Cryptocurrency Market Analysis

Background:

  • Bitcoin's price volatility presents challenges for traditional investment strategies.
  • The increasing complexity of financial markets necessitates advanced analytical tools.
  • Emerging asset classes like cryptocurrencies require novel approaches to prediction and strategy development.

Purpose of the Study:

  • To investigate the efficacy of Artificial Intelligence (AI) and Machine Learning (ML) in predicting Bitcoin price movements.
  • To develop and evaluate adaptive investment strategies based on AI and ML.
  • To compare the performance of AI-driven strategies against ML-based and traditional Buy-and-Hold (B&H) approaches.

Main Methods:

  • Analysis of Bitcoin performance data from January 2018 to January 2024.
  • Development of an AI-driven strategy using an ensemble of neural networks.
  • Incorporation of predictive analytics and technical indicators for dynamic market exposure adjustment.

Main Results:

  • The AI-driven strategy achieved a total return of 1640.32%.
  • This significantly outperformed the ML-based approach (304.77%) and the traditional B&H strategy (223.40%).
  • The AI strategy demonstrated effective loss mitigation during downturns and gain maximization during favorable conditions.

Conclusions:

  • AI holds transformative potential for financial markets, especially in volatile cryptocurrency trading.
  • AI-driven strategies offer superior performance and adaptability compared to traditional methods.
  • Advanced AI techniques provide deeper insights into market dynamics, impacting portfolio management and risk assessment.