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IEEE-754

Assess

Techniques

A floating-point standard whose binary representation can introduce precision issues for money.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by framework updates, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 4Hacker News·6/27/2026framework_update
    Fintech Engineering Handbook

    This handbook outlines core software engineering patterns for systems where money is the primary concern. It emphasizes three principles: no invented data, no lost data, and no trust, and explains how they shape money representation, precision, and serialization.