Floating-point numbers in programming, especially in MQL5, are critical to understand for precise computations. Although double and float are commonly used, they often carry hidden complexities due to their design based on the IEEE 754 standard. This standard aims to unify floating-point representation but introduces potential errors due to rounding. MQL5, like many programming languages, uses the IEEE 754 to standardize calculations but the way floating-point values are stored—either in single (32-bit) or double precision (64-bit)—can affect computation accuracy, especially in the high-stakes world of algorithmic trading. Understanding this can help avoid costly errors in calculation-critical environments.

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