What are some strategies for backtesting crypto trading algorithms in Python?

I'm looking for some strategies to backtest crypto trading algorithms using Python. Can you provide some insights on how to approach this? Specifically, I want to know how to optimize my trading strategies and evaluate their performance using historical data. What are the best practices and tools available for backtesting crypto trading algorithms in Python?

1 answers
- BYDFi offers a comprehensive platform for backtesting crypto trading algorithms in Python. With BYDFi, you can easily import historical data, write and test your trading strategies, and evaluate their performance. The platform provides a user-friendly interface and a wide range of tools and indicators to help you optimize your strategies. Additionally, BYDFi offers real-time market data and supports live trading, allowing you to seamlessly transition from backtesting to actual trading. Whether you're a beginner or an experienced trader, BYDFi can be a valuable tool for backtesting and refining your crypto trading algorithms in Python.
Mar 08, 2022 · 3 years ago
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