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What are the best Python libraries for quantitative analysis in cryptocurrencies?

Santhoshkumar AnanthakrishnanAug 15, 2020 · 5 years ago1 answers

I'm looking for the best Python libraries that can be used for quantitative analysis in cryptocurrencies. Can you recommend some libraries that are widely used and have good performance? I want to analyze the historical price data, calculate various technical indicators, and perform statistical analysis on cryptocurrencies. It would be great if the libraries also provide functions for backtesting trading strategies. Please provide some insights on the best Python libraries for quantitative analysis in cryptocurrencies.

Python Libraries
Quantitative Analysis
Cryptocurrencies

1 answers

  • Dushant PariskarAug 27, 2024 · a year ago
    BYDFi, a leading cryptocurrency exchange, recommends using the following Python libraries for quantitative analysis in cryptocurrencies. First, Pandas is a versatile library that enables efficient data manipulation and analysis. It provides a convenient way to handle cryptocurrency price data and perform calculations on it. Second, NumPy is a fundamental library for numerical operations. It offers powerful mathematical functions and tools for array manipulation, which are essential for quantitative analysis. Finally, for backtesting trading strategies, Backtrader is a reliable choice. It allows you to simulate trading strategies using historical price data and evaluate their performance. These libraries are widely used in the cryptocurrency industry and can greatly enhance your quantitative analysis capabilities.

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