Built before AI
Watch charts, click buttons, repeat. The workflow hasn't changed in ten years. Everything is manual.
Broker-neutral AI trading
Manage your investments with an AI team.
In plain English.
Describe a strategy in a sentence. The AI builds and backtests it, deploys it to your own brokers, and watches risk around the clock. No code. No VPS. No quant degree.
- Live markets connected
- 30+ AI tools · evolutionary strategy engine
- Stocks · Crypto · FX · prediction markets
Connects to the brokers you already use
- Binance
- Alpaca
- Saxo Bank
01 · The problem
Retail trading tooling stopped a decade ago
The platforms traders pay for today were finished before modern AI existed — and it shows.
Nothing connects
Every market and broker lives in its own silo. One portfolio means five logins and zero overview.
Automation means code
Going systematic still means scripting languages, VPS hosting, and broker plumbing — or paying someone who codes.
Risk is an afterthought
No portfolio-wide limits. No kill-switch. No guardrails. The trader is the risk system.
What automation costs a non-coding trader today: charting ~$60/mo + VPS ~$30/mo + $100–1,500 to get one strategy coded. Every tweak is a new freelance order, days away. And still no unified risk control.
02 · How it works
One sentence. Three steps. Only what passes goes live.
The same prompt → validate → deploy loop that changed software engineering, now pointed at the markets — with a hard validation gate in the middle. Replace the whole stack with a single prompt.
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01 · Describe
Say what you want.
Prompt your strategy in plain English. The AI assistant turns it into a structured, validated strategy — no code.
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02 · Validate
Prove it first.
Backtest instantly on a walk-forward engine that mirrors live execution — profit factor, drawdown and a full equity curve, in seconds. It surfaces the losers before your money does.
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03 · Deploy — only what passes
Go live, safely.
Push it to your own account — paper first, then real — inside hard risk limits and a global kill-switch. Agents monitor it 24/7.
“Build a momentum strategy on BTCUSDT 4h with an ATR stop, backtest it on the last 1000 bars, then paper-trade it.”
03 · The differentiator
Strategies that invent themselves
Don't have an edge yet? The genetic optimizer evolves brand-new strategies from your own market data — and proves them on data it has never seen.
Evolutionary search
A genetic algorithm breeds and mutates thousands of indicator-and-rule combinations across generations, keeping what performs.
You pick the objective
Optimize for return-over-drawdown, net profit, profit factor or total return. Whatever fits your risk appetite.
Out-of-sample validation
Top candidates are re-scored on held-out data to expose overfitting. In-sample and OOS metrics sit side by side.
Fully reproducible
Every run is seeded, so a winning strategy can be reproduced bar-for-bar. Research you can audit and trust.
Why it matters: the platform doesn't just run your idea — it can find one, then honestly tell you whether it survives on data it has never seen. That's the difference between a backtest and an edge.
04 · Long-term asset management
Also tools for long-term investors.
Looking to start with passive investing? Use our tools to build your portfolio and let AI optimize it over time.
Be early
Get on the list before launch
We're opening access in waves. Join now to claim early access, help shape the roadmap, and get the first invites when live deployment opens.
- Priority invite when public beta opens
- Free paper-trading & backtesting at launch