Fintech meets AI intelligence

The AI trade is complex.
We make it digestible.

MangosTracker.ai runs a live, fully transparent experiment — an AI given $50,000 in simulated capital and a maintained watchlist spanning the full AI stack — semiconductors to hyperscalers to security to SaaS — plus a broad base of non-tech names, making its own trades every weekday morning — alongside jargon-free lessons on how the AI economy actually works.

Meta, Amazon, Nvidia, Google, OpenAI, SpaceX — the new FAANG, and where the name Mangos comes from. SpaceX went public in 2026 (NASDAQ: SPCX); OpenAI hasn't yet — and neither has Anthropic, which just missed the acronym but belongs in the conversation.

Live · Updated Every Trading Morning

The experiment, right now

No real money, no real brokerage — just real market data and a paper trading account the AI manages entirely on its own.

Portfolio Value
$50,881.34
Since Inception
+1.8%
Cash on Hand
$17,134.10
Open Positions
16

Figures update automatically every weekday morning before the market opens. · View full holdings & trade log →

The Orchard

Learn the AI economy, one lesson at a time

Short, jargon-free modules on the technology and companies behind the AI boom — built for people who want the substance without the Wall Street noise.

Module 01 · Beginner

AI Infrastructure 101

What's actually the difference between a GPU and custom silicon (an ASIC)? How hardware choices decide which AI companies win.

Start the lesson →
Module 02 · Intermediate

Valuing Tech Moats

Standard P/E ratios break down for hyper-growth AI companies. The alternative metrics analysts actually use.

Start the lesson →
Reference · Everyone

The AI Glossary

"Parameter size," "inference speed," "retrieval-augmented generation" — defined in plain English.

Browse the glossary →

Why This Exists

Transparency over hype

Most "AI trading bot" content on the internet is either a sales pitch or a black box. MangosTracker.ai is neither. Every trade our AI makes is logged with its actual reasoning, every price it acts on is real market data, and the whole trade log is public — including the days it decides to do nothing at all, because a forced trade isn't a better trade.

The goal isn't to sell you a signal. It's to show, in the open, what a disciplined and fully-explained AI trading process actually looks like day to day — and to teach the fundamentals behind the AI companies everyone's suddenly investing in.

Want to know who's behind this project? Meet the team →