Today marks a defining moment in the evolution of the QIM Framework. I completed a full migration of a complex, multi‑branch Excel status formula into a clean, deterministic Python engine. What once existed as hundreds of nested conditions has now been transformed into a structured, rule‑driven system capable of evaluating market behaviour consistently across thousands of rows.
This upgrade is more than a technical rewrite — it is foundational.
By moving QIM’s core logic out of spreadsheets and into a scalable Python architecture, the platform is now ready for:
- Automated after-market processing
- Multi‑index expansion
- Unified behavioural classification
- Institutional‑grade publishing
- Long‑term product stability
This transition represents a shift from manual spreadsheet logic to a true analytics engine — one that is modular, auditable, and built for scale.
A small step in code, a big step for the platform.
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