How can pinescript arrays be optimized for better performance in cryptocurrency trading algorithms?

3 answers

• Apr 30, 2022 · 3 years ago
  One way to optimize pinescript arrays for better performance in cryptocurrency trading algorithms is to minimize the number of array operations. This can be done by reducing the size of the arrays used or by avoiding unnecessary array manipulations. Additionally, using built-in pinescript functions and operators instead of custom functions can also improve performance. It's important to carefully analyze the algorithm and identify any potential bottlenecks or areas for optimization.
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• Apr 30, 2022 · 3 years ago
  Optimizing pinescript arrays for better performance in cryptocurrency trading algorithms can be achieved by using vectorized operations. Vectorized operations allow for faster calculations by performing operations on entire arrays at once, rather than iterating through each element. This can significantly improve the speed of the algorithm. Additionally, using the 'var' keyword to declare variables instead of 'series' can also improve performance.
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• Apr 30, 2022 · 3 years ago
  BYDFi, a popular cryptocurrency trading platform, offers a variety of optimization techniques for pinescript arrays. One of the key strategies they recommend is to use the 'array.copy' function instead of directly assigning values to arrays. This can help reduce memory usage and improve performance. They also suggest using the 'array.size' function instead of 'len' to check the size of arrays, as it is more efficient. Overall, optimizing pinescript arrays is crucial for improving the performance of cryptocurrency trading algorithms.
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