What are the best AI languages for developing cryptocurrency trading algorithms?

3 answers

• Nov 24, 2021 · 3 years ago
  When it comes to developing cryptocurrency trading algorithms using AI, Python is widely regarded as one of the best programming languages. Its simplicity, extensive libraries, and strong community support make it a popular choice among developers. With Python, you can easily implement machine learning and deep learning algorithms to analyze market data and make informed trading decisions. Additionally, languages like R and MATLAB are also commonly used for their statistical analysis capabilities. However, Python remains the go-to language for most cryptocurrency traders and developers.
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• Nov 24, 2021 · 3 years ago
  If you're looking for a more high-performance language, consider using C++ or Java. These languages offer better speed and efficiency compared to Python, which can be crucial when dealing with large datasets and real-time trading. C++ is particularly known for its low-level control and ability to optimize code, while Java provides a balance between performance and ease of use. Both languages have robust libraries and frameworks for AI development, making them suitable choices for building cryptocurrency trading algorithms.
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• Nov 24, 2021 · 3 years ago
  At BYDFi, we recommend using Python for developing cryptocurrency trading algorithms. Python's versatility and extensive libraries, such as TensorFlow and PyTorch, make it an ideal choice for implementing AI models. With Python, you can easily access historical and real-time market data, perform data analysis, and train machine learning models. Whether you're a beginner or an experienced developer, Python provides a user-friendly environment for building effective trading algorithms.
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