Capybara Trading
Early access
Multi-agent trading intelligence

Not one model.
A whole desk.

A team of specialized LLM analysts debates every trade — and a risk manager can veto it. Today it’s your copilot; the roadmap is autopilot.

Agents per run
7
Pipeline modes
3
Time to decision
≈3m

An analyst desk, an argument, and a risk manager that says no.

01 / 06

Adversarial debate, not consensus

Bull and bear analysts argue the trade. A research manager weighs both sides. You see the disagreement, not a one-sided hot take.

02 / 06

A risk manager with a veto

A dedicated risk agent can overrule the trader. Position sizing, stop placement, hold-through-earnings — never left to the optimist.

03 / 06

Three modes, one pipeline

Swing for multi-day setups. Intraday for same-session levels. Earnings mode with historical-reaction context around the event.

04 / 06

Real-time triage

A WebSocket monitor flags moves >2% and volume spikes >3× average; a lightweight model decides if they deserve deep analysis. Frontier cost only when earned.

05 / 06

Built for the autopilot future

Bracket-only orders, entry-sanity checks, daily-loss kill-switch, one-click flatten. Full autonomy is the destination; hard rails are how we get there without blowing up.

06 / 06

Every run, on the record

Full agent transcripts, token cost, and outcome tracking persisted per ticker. Review why a decision was made three weeks later.