When most investors choose companies, they focus on individual metrics: profit margin, revenue growth, return on equity, EPS, etc.. They compare multiples, calculate ratios, or look at historical trends.
I take a different path.
I don’t simply look at metrics — I build a system between them, applying scientific principles to understand how a company behaves as a living structure.
My model uses more than 30 financial and operational metrics across different time periods. But the real value lies not in the list itself, but in the way these metrics interact.
For example:
This is where analysis moves beyond accounting and into chemistry and physics. Metrics become atoms and molecules. Their interactions create reactions, amplifications, resistances, and equilibriums.
I examine every possible combination of interactions:
In total, the space of possible relationships exceeds 2.1 billion configurations — and that’s before including other external and internal factors. When those are added, the possibilities reach into the trillions.
This is not just financial analysis.
It is a scientific reconstruction of business reality.
The framework is grounded in:
A company is not an Excel file. It’s a dynamic organism with internal dynamics and structural resilience.
This method allows me to measure the reliability and resilience of a company’s structure, not just its financial output.
I don’t invest in isolated numbers or short-term ratios.
I invest in architectures of interaction — the systemic behavior that makes a company survive and grow over years, not quarters.
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