ATLAS started from one frustration: every retail investing tool sells confidence it can't back up. We built the opposite — a probability engine you can audit, calibrated against a public ledger of 285,907 real predictions.
Santiago Avalos is 23, a recent graduate from IE Business School in Madrid. He built ATLAS while learning to invest himself — and realizing how much of what's marketed to retail investors is confidence dressed up as analysis.
Every app he tried gave him opinions: hot takes, ratings, signals, picks. None of them ever showed the one thing he actually wanted to know — the probability that a given decision would work, and how confident anyone could honestly be in that number.
ATLAS is his answer to that. A tool that treats individual investors with the same seriousness institutions treat themselves: real probabilities, calibrated against a public record, with the math made visible. Built so the next person who starts investing doesn't have to learn the hard way that most of the noise wasn't worth listening to.
Everything else is downstream of these.
If we don't know, we say so. A 70% probability is not a recommendation — it's a frequency we counted. The model is uncertain by design.
Every prediction is timestamped and logged. Anyone can audit the calibration. We can't edit history; you don't have to take our word for it.
We don't tell stories about why a stock will go up. We count outcomes across 10,000 simulated futures. The narrative is yours to make.
No real-time alerts. No push notifications. No leaderboards in the consumer product. The product is built to give you the information you need and then get out of the way.
ATLAS produces probabilities. Decisions are yours. We are not licensed advisors and never claim to be — and we are very honest about that.
Five things ATLAS delivers, end-to-end.
Every output is a frequency counted across 10,000 simulated futures, then validated against 285,907 timestamped predictions. 95.4% calibration accuracy.
Every prediction is timestamped before market open and made public. Calibration is auditable. We cannot edit history.
Monte Carlo engine, earnings overlay, macro regime classifier, news multiplier — every layer is documented in detail at /docs.
No institutional pricing, no minimum portfolio size, no advisor gatekeeping. Quantitative-grade infrastructure delivered directly to retail investors.
No real-time alerts, no push notifications, no engagement loops. Information density without behavioral pressure — you get what you need, when you need it.
7 days. No card.