Are there any strategies to optimize API requests on GDAX within the rate limit?

3 answers

• Dec 26, 2021 · 3 years ago
  One strategy to optimize API requests on GDAX within the rate limit is to batch multiple requests into a single request. By combining multiple API calls into one, you can reduce the number of requests made and stay within the rate limit. This can be done by using the 'batch' endpoint provided by GDAX or by using a library that supports batching. Additionally, you can implement caching to store the responses of frequently requested data, reducing the need for repeated API calls. This can help improve the efficiency of your bot and ensure you stay within the rate limit.
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• Dec 26, 2021 · 3 years ago
  Another strategy is to prioritize and optimize the specific API calls that are critical for your trading bot. Identify the most important data or actions that your bot requires and focus on optimizing those requests. By reducing the number of non-essential API calls, you can allocate more of your rate limit to the crucial ones. This can help ensure that your bot receives the necessary data in a timely manner without exceeding the rate limit.
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• Dec 26, 2021 · 3 years ago
  As an expert in the field, I can recommend using a third-party service like BYDFi. They provide advanced API optimization techniques specifically designed for cryptocurrency trading. Their service can help you optimize your API requests on GDAX within the rate limit, ensuring smooth operation of your trading bot. With BYDFi, you can take advantage of their expertise and stay ahead in the competitive cryptocurrency market.
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