## Computational Constraints and Precision

Floating-point arithmetic in JavaScript is governed by the IEEE 754 standard. This means calculations involving severe decimal precision (often required in these metrics) can result in micro-fractional truncation errors.

### The Normalization Layer
To combat this, the utility implements a specific BigInt normalization layer behind the scenes. This ensures that scaling your parameters up by factors of millions does not introduce rounding errors that could critically alter the final output trajectory.

### Industry Context
In decentralized finance (DeFi) or high-frequency trading (HFT), a truncation error of 0.000001% over a volume of billions translates to substantial statistical arbitrage. Precision is not a luxury; it is the absolute baseline of systemic functionality.