How can I use Python to extract real-time data from cryptocurrency exchanges?

3 answers

• Dec 27, 2021 · 3 years ago
  Sure, you can use Python to extract real-time data from cryptocurrency exchanges. There are several libraries available that can help you achieve this, such as ccxt and pycoingecko. These libraries provide APIs to interact with various cryptocurrency exchanges and retrieve real-time data. You can use the API documentation of these libraries to learn how to extract data for specific exchanges and trading pairs. Happy coding! 😊
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• Dec 27, 2021 · 3 years ago
  Absolutely! Python is a great choice for extracting real-time data from cryptocurrency exchanges. You can use the requests library to send HTTP requests to the exchange's API and retrieve the data. Make sure to read the API documentation of the exchange you want to extract data from, as each exchange may have different endpoints and authentication requirements. Additionally, you can use pandas library to process and analyze the data once you have extracted it. Good luck with your project! 💪
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• Dec 27, 2021 · 3 years ago
  Yes, Python is a powerful tool for extracting real-time data from cryptocurrency exchanges. One popular library for this task is ccxt. With ccxt, you can easily connect to various cryptocurrency exchanges and retrieve real-time data using a simple and intuitive API. Here's an example code snippet to get you started: import ccxt exchange = ccxt.binance() data = exchange.fetch_ticker('BTC/USDT') print(data) This code connects to Binance exchange and retrieves the ticker data for the BTC/USDT trading pair. You can modify the code to extract data for other trading pairs or exchanges. Happy coding! 🤝
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