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Why Floating-Point Math Is Dangerous for Pricing Systems (And What to Use Instead)

This story is from 2026-09-13. It is preserved in the archive; the latest stories are on the live feed.

Per Modern Treasury's own explanation of why floats fail for currency, IEEE-754 floating-point numbers represent values in binary — powers of two — while money is inherently decimal. That mismatch means most monetary values simply can't be represented exactly in a float. Their example: storing $2.7…

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  1. 2026-09-13 23:58 · DEV Community — AI
    Why Floating-Point Math Is Dangerous for Pricing Systems (And What to Use Instead)

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