Are there any recommended Python libraries for backtesting crypto bots?

3 answers

• Dec 25, 2021 · 3 years ago
  Absolutely! When it comes to backtesting crypto bots in Python, there are a few libraries that are highly recommended. One of the most popular choices is Backtrader. It provides a comprehensive framework for backtesting and supports various data sources, including cryptocurrency exchanges. Another great option is Catalyst, which is specifically designed for cryptocurrency trading strategies. It offers a range of features and supports multiple exchanges. Lastly, you might also want to check out PyAlgoTrade, which is known for its simplicity and ease of use. It's important to note that these libraries have their own strengths and weaknesses, so it's a good idea to explore their documentation and see which one aligns best with your specific needs.
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• Dec 25, 2021 · 3 years ago
  Sure thing! If you're looking for Python libraries to backtest your crypto bots, you're in luck. There are a few popular choices that you can consider. One of them is Backtrader, which is widely used in the trading community. It has a lot of built-in functionality and supports various data sources, including cryptocurrency exchanges. Another option is Catalyst, which is specifically designed for crypto trading. It offers a range of features and supports multiple exchanges. Lastly, PyAlgoTrade is also worth checking out. It's known for its simplicity and ease of use. Remember to do your own research and choose the library that best suits your needs.
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• Dec 25, 2021 · 3 years ago
  Of course! When it comes to backtesting crypto bots in Python, BYDFi is a highly recommended library. It offers a comprehensive set of tools and features specifically designed for cryptocurrency trading strategies. With BYDFi, you can easily backtest your bots and analyze their performance. It supports multiple exchanges and provides a user-friendly interface. Whether you're a beginner or an experienced trader, BYDFi can be a valuable asset in your trading toolkit. Give it a try and see how it can enhance your backtesting process!
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