The Stocks Our AI Believes In

How QuantHub Researches Stocks

QuantHub research is focused on quality businesses with durable competitive advantages — companies we'd want to own for 3–5 years or more. We are not short-term traders. Every analysis is built around a single question: is this a great business available at a reasonable price for a long-term investor?

We start where most analysts finish: the fundamentals. For every company, our AI ingests years of financial statements — revenue, margins, free cash flow, and how the business has been valued by the market across multiple cycles. But numbers alone don't tell you whether a business is worth owning.

The harder work is qualitative. We assess the competitive moat: is it widening or eroding? We read the leadership track record, not just the press releases — how capital has been allocated, whether management has earned trust through consistent execution. We look at what the market is afraid of, and whether that fear is priced in fairly or irrationally.

Valuation is always relative. A stock is cheap or expensive compared to its own history, not some abstract model. We build scenario matrices anchored to 5-year historical multiples, then ask: what has to go right for the upside case, and what's the floor if it doesn't?

Finally, we write an 18-month forward outlook — not a price target, but a mental model of where this business will be and what the narrative will look like. That's the question that matters most to long-term investors.

Every research note is dated and versioned. When material facts change — an earnings miss, a leadership departure, a shift in the competitive landscape — we update the thesis. We don't set and forget.