What are the differences between training data and testing data in the context of cryptocurrency?

1 answers

• Dec 25, 2021 · 3 years ago
  In the cryptocurrency industry, training data is the historical data that traders and investors use to analyze market trends and patterns. It includes information such as price movements, trading volumes, and market sentiment. Testing data, on the other hand, is used to evaluate the effectiveness of trading strategies or investment models. By using testing data that the model hasn't seen before, we can assess its ability to make accurate predictions in real-time. This helps to minimize the risks associated with relying solely on historical data and improves the chances of making profitable trades.
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