Atlas

Confidential AI trading agents for tokenized equities.

[Atlas @AtlasGPU]

Introducing AtlasGPU.

Write a trading strategy in plain words. An AI agent runs it inside a hardware enclave nobody can read, not even us. Every decision gets a signed receipt.

Tokenized equities. Paper first; real trades need your yes.

https://t.co/3qC2wYCBhI

[Atlas @AtlasGPU]

Coinbase opened its accounts to AI agents last week. Connect ChatGPT, Claude or Grok, choose a portfolio, and the agent can trade crypto and stocks from a chat window.

It is a real step. It also means every instruction you give, every position you hold and every reason behind a trade now passes through an AI company's servers in full.

The trading part is getting solved fast. The privacy part is the one we chose to work on.

[Coinbase 🛡️ @coinbase]

Your agent <> your Coinbase account.

Trade crypto, stocks, and derivatives on the Everything Exchange - all from a single conversation.

Works with Claude, ChatGPT, Grok, Muse, and more.

Connect your agent ↓
https://t.co/cMEPMK7owJ

[Atlas @AtlasGPU]

It is 17:00 and a company you follow just reported earnings. Its tokenized stock is already moving, and you are at dinner with your phone face down.

That is the moment an agent is for. It acts on the rules you wrote in advance, stays inside the limits you set, and records every decision so you can review exactly what happened when you get back.

The playbook behind each move stays sealed in a hardware enclave the entire time.

[Atlas @AtlasGPU]

You’ve got the strategy. Atlas does the trading.

https://t.co/3qC2wYC3sa

[Atlas @AtlasGPU]

Last year, six leading AI models were each given $10,000 to trade live. The results ranged from up 48% to down 75% in about a month, using the same markets and the same rules.

Models are powerful and inconsistent, and the same one can look brilliant one week and reckless the next. That is why we start every agent on paper, cap what it can do, and keep a record of every call it makes, good and bad.

[Atlas @AtlasGPU]

When you switch it to live trading, every order still waits for your approval, and daily and per-trade limits cap what it can do. Deposits are held to $25 until our contracts are audited.

Throughout all of this, the strategy and the agent's reasoning stay inside a hardware enclave that we cannot access. You can check that yourself from your browser before you type a word. Each decision is signed and recorded, so the track record it builds cannot be edited later.

That is the whole process. We would rather it be slow and verifiable than fast and opaque.

[Atlas @AtlasGPU]

What happens to a strategy on its first week with AtlasGPU.

You write it the way you would explain it to a friend, something like "buy after a 5% daily drop, $200 at most, and sell half once it is up 8%." The agent turns that into explicit rules and shows them back to you before anything runs. If it misread you, you fix it there.

For the next seven days, the agent trades on paper. You see every decision it would have made and why, so you can judge how it behaves before any money is involved.

[Atlas @AtlasGPU]

Traders guard their strategies more closely than almost anything they own. Then they paste them into AI tools running on servers they have never seen.

Nobody would hand a playbook to a stranger. We have been doing it with AI because there was no alternative.

AtlasGPU runs your agent inside a hardware enclave, so the strategy stays yours.

[Atlas @AtlasGPU]

We looked at how traders run AI agents today, using each product's own docs and announcements.

Credit where it's due:

➔ Brokerages made agent trading mainstream this year. One major broker alone reports more than 150,000 accounts run by AI agents.

➔ Venice showed how much demand there is for private AI, with a reported $100M revenue run rate.

➔ Onchain agent vaults are letting AI agents manage pooled funds in the open.

What none of them combine yet: A strategy no one can read, payment that can't be traced back to you, and a public record of every decision the agent makes.

That combination is what AtlasGPU is built around.

[Atlas @AtlasGPU]

Good traders keep their notebook closed, so we built AtlasGPU to let your agent read your playbook without anyone else being able to, including the people who run it.

[Atlas @AtlasGPU]

What happens to a strategy inside an enclave:

It is decrypted only within protected memory.
The machine's operator cannot inspect it.
The agent acts on it and nothing else leaves.

This is the layer we spent the most time on.

[Atlas @AtlasGPU]

Tokenized equities trade all weekend.

Your AtlasGPU agent can too, within the limits you set, with your strategy kept private the whole time.

[Atlas @AtlasGPU]

Privacy has been one of the strongest themes in crypto this year, and it is starting to reach AI as well.

Traders are asking a reasonable question: If an AI model is helping run my strategy, who else can see it? Our answer at AtlasGPU is that no one should.