dArray VS EveryTrade

• Scalability
  dArray supports distributed computing, allowing it to handle large datasets across multiple machines efficiently.
• Ease of Use
  It provides a user-friendly interface and Pythonic API, making it accessible to users familiar with NumPy and similar libraries.
• Flexibility
  dArray can work with various backends and systems, providing users with adaptability in diverse computing environments.
• Performance
  The library is designed to maximize the performance of numerical computations by leveraging distributed resources.

Possible disadvantages

• Complex Setup
  While designed to be user-friendly, the initial setup, especially in distributed environments, can be complex for new users.
• Dependency on Infrastructure
  The performance and scalability depend heavily on the underlying infrastructure and configuration.
• Learning Curve
  Users unfamiliar with distributed systems might experience a steeper learning curve compared to single-machine libraries.
• Limited Community Support
  As a relatively newer library, dArray might not have as extensive community support and resources as more established libraries.

No features have been listed yet.

Tracking dArray since Mar 2021.

• In consideration of this cycle approaching its ATH, a few lessons i learned 2014/2017. Or, how not to burn your money.

  It looks like an ad but I am using everytrade.io ... There will be plenty similar websites I guess. It's a chore to write up every trade but I think it has handy export feature. Some tax offices can it handle for you. Source: about 5 years ago