Independent quantitative research / 2026
Markets observed.Systems explained.
Nimloth Capital is a two-year research program in market data, machine learning, and quantitative trading. This is the public record of the work: methods, results, and the systems beneath them.
Loading latest momentum snapshot
The public panel is requesting the latest ALL / ALL / mean slice from server-side code.
The mandate
Build the evidence. Test the thesis. Publish the record.
Data foundations
Reproducible pipelines and explicit data contracts before any model earns attention.
Empirical discipline
Results are judged against assumptions, failure modes, and what would falsify them.
Public record
Useful methods and conclusions are published without exposing private data or execution logic.
Field notes
Short entries from the research and engineering process.
Why I am building Nimloth Capital
After eight years managing an Asia Emerging Markets equity portfolio, I am returning to school to build my own quantitative strategy.
Launch notes for the public repository
Why the public site exists, what it will publish, and how it relates to the deeper data platform.
Research ledger
Long-form work connecting market questions, methodology, and infrastructure.
The public research program
A working outline for what belongs on the public side of a quantitative trading operation and what must remain private.
Designing the boundary between public web and private data infrastructure
The public site should be useful without becoming a tunnel into the private platform.