Built for parents who need growth without giving up liquidity
Nguon Loivinh started as a response to a narrow problem: most portfolio tools are built for either aggressive growth or rigid savings plans, with little room for the in-between decisions families actually face.
From a spreadsheet problem to a dedicated tool
Nguon Loivinh began as an internal process for modeling household portfolios — balancing near-term liquidity needs against longer-term growth targets. What started as a set of manual comparisons grew into a structured analysis approach once it became clear how often the same trade-offs repeated across different family situations.
Over time, that approach was refined into a product: a way to apply consistent, data-driven analysis to portfolio decisions without requiring every parent to become a spreadsheet expert first.
Clarity before action
We believe portfolio decisions should be made with a clear view of trade-offs — not guesswork, not generic templates, and not advice disconnected from your actual liquidity needs.
Why this focus matters
Families planning around education costs, major purchases, or shifting income rarely fit neatly into "aggressive" or "conservative" categories. Nguon Loivinh exists to analyze the middle ground — where liquidity and growth have to coexist — and to make that analysis repeatable rather than one-off.
Data first
Every output is grounded in the figures you provide, not assumptions about a "typical" household.
No one-size-fits-all
Structures are modeled around your stated liquidity needs, not a fixed allocation template.
What guides how we build this
Transparency in method
We explain how an analysis reaches its conclusions rather than presenting results as a black box.
Liquidity-aware by default
Growth recommendations are never modeled in isolation from the cash access a family may actually need.
Continuous refinement
Our models are adjusted as we learn more about how portfolio needs evolve across different stages of family life.
A small, focused group
Nguon Loivinh is run by a compact team that works directly on the analysis engine, the data inputs, and the way results are communicated to users. We stay deliberately small so that decisions about methodology remain consistent as the product grows.
See how Nguon Loivinh approaches your portfolio
Request an analysis built around your own liquidity and growth requirements — not a generic template.