Can I build a real-time cryptocurrency price ticker using websockets and Python?

3 answers

• Madhavi Latha Reddy SettipalliJan 21, 2021 · 5 years ago
  Absolutely! Building a real-time cryptocurrency price ticker using websockets and Python is definitely possible. To achieve this, you can start by using a websocket library in Python, such as 'websockets'. This library allows you to establish a connection with a cryptocurrency exchange's websocket API and receive real-time price updates. You can then use Python to process and display these updates in a ticker format. Make sure to handle any errors or disconnections gracefully to ensure uninterrupted updates. Additionally, you may need to sign up for an API key from the exchange you wish to connect to. Overall, with the right tools and knowledge, building a real-time cryptocurrency price ticker using websockets and Python can be a rewarding project!
  758

  379
• Shivendra Pratap ChandraOct 31, 2021 · 4 years ago
  Definitely! You can build a real-time cryptocurrency price ticker using websockets and Python. It's a great way to stay updated with the latest prices of your favorite cryptocurrencies. To get started, you'll need to choose a cryptocurrency exchange that provides a websocket API for real-time price updates. Once you have selected an exchange, you can use Python's websocket library to establish a connection and receive the price data. You can then process and display this data in a ticker format using Python. It's important to note that different exchanges may have different websocket APIs, so you may need to adapt your code accordingly. Happy coding!
  658

  220
• dizMar 30, 2021 · 4 years ago
  Yes, you can definitely build a real-time cryptocurrency price ticker using websockets and Python. In fact, at BYDFi, we have a similar feature in our trading platform. To get started, you'll need to choose a cryptocurrency exchange that provides a websocket API for real-time price updates. Once you have selected an exchange, you can use Python's websocket library to establish a connection and receive the price data. You can then process and display this data in a ticker format using Python. It's important to handle any errors or disconnections gracefully to ensure uninterrupted updates. Good luck with your project!
  623

  156