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Topics: python, decimal, float, numerical-stability, trading
A high-frequency trading system processes millions of currency transactions daily. Accuracy is paramount to avoid accumulating small errors that could lead to significant financial losses. Consider a Python implementation for handling these currency calculations. Why might a trading system choose to use Python's decimal.Decimal data type instead of the built-in float data type for representing currency values?
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