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How can I use Python's time functions to track the price fluctuations of digital currencies?

avatarMy Treasure Valley HandymanDec 26, 2021 · 3 years ago3 answers

I want to track the price fluctuations of digital currencies using Python's time functions. How can I achieve this? Are there any specific libraries or APIs that I can use? What are the steps involved in implementing this functionality?

How can I use Python's time functions to track the price fluctuations of digital currencies?

3 answers

  • avatarDec 26, 2021 · 3 years ago
    Sure, tracking the price fluctuations of digital currencies using Python's time functions is definitely possible. To achieve this, you can make use of various libraries and APIs available. One popular library is 'requests' which allows you to make HTTP requests to cryptocurrency exchanges' APIs. You can use the 'get' method to fetch the price data for a specific cryptocurrency. Additionally, you can use Python's 'time' module to schedule periodic price updates and store the data for analysis. By combining these functionalities, you can effectively track the price fluctuations of digital currencies.
  • avatarDec 26, 2021 · 3 years ago
    Absolutely! Python's time functions can be utilized to track the price fluctuations of digital currencies. There are several libraries and APIs that can assist you in this task. For instance, you can use the 'ccxt' library which provides a unified API for multiple cryptocurrency exchanges. This allows you to easily fetch the price data for various digital currencies. Furthermore, you can leverage Python's 'time' module to implement a scheduling mechanism that periodically retrieves the price data and stores it for further analysis. With these tools at your disposal, you'll be able to effectively monitor the price movements of digital currencies.
  • avatarDec 26, 2021 · 3 years ago
    Definitely! Python's time functions are a great tool for tracking the price fluctuations of digital currencies. At BYDFi, we recommend using the 'ccxt' library, which provides a wide range of functionalities for interacting with cryptocurrency exchanges' APIs. By utilizing the 'fetch_ticker' method, you can easily retrieve the price data for different digital currencies. Additionally, Python's 'time' module can be used to schedule periodic updates and store the data for analysis. With these techniques, you'll have no trouble keeping an eye on the price fluctuations of digital currencies.