Skip to content
Early accessTrades are simulated with virtual money. Real-money trading opens in each country once regulators and brokers approve.
…
Live agents

Watch every step your AI agents take, live.

A research desk of AI agents works on the stocks you choose: four analysts, six investor personas, a bull and a bear, a trader, three risk views and a portfolio manager. The graph lights up as each one works, every tool call shows its source, and the deterministic risk gate always has the final word.

  • get_technicals
    uptrend · 50-day average · RSI(14) — source: exchange daily prices
  • Market analyst
    Last close 190.50, 50-day average 180.20, RSI(14) 58.2: bullish.
  • Bull · round 1
    Revenue growth of 9.1% and net margin 24.5% back the trend.
  • Bear · round 1
    Valuation looks stretched; a fair value of 212 has no tool behind it — flagged.
  • Trader
    Buy 44 at 190.50, stop 182.15, target 207.20; profit after charges 984.96.

Illustrative paper run. Green figures were computed by a tool; amber ones only the model said.

At a glance

Nothing happens out of sight.

Graph
Analysts → personas → bull ↔ bear debate → trader → strategy check → risk team → portfolio manager → risk gate
Live view
Nodes pulse while they work, edges animate, a FAIL loop visibly returns to research
Run log
Every message and tool call, with LLM and tool counts and the cost of the run
Numbers
Each figure links to the tool call that computed it; a figure with no tool is flagged
Session bar
Per country: pre-open, scanning, analysing, proposing, monitoring, closing, reporting
Default
NO CHANGE — any trade needs named triggers and passes the guardrails and the risk gate
Your approval
A buy or sell becomes an idea on paper that waits for you, even on Autopilot
Where
Web and desktop (live canvas), mobile (feed and run detail), REST, GraphQL and MCP
Graph builder

Build the desk you want, then watch it work.

Drag analysts, any of our trading skills, a debate, a trader, the strategy check and the risk team onto a canvas and connect them. Make an edge a condition — “strategy pass?” goes on to execution, a FAIL loops back to research — and set how many loops are allowed. Hover a node to see exactly which state it reads and writes.

Nodes
Analysts, investor personas, bull ↔ bear debate, trader, strategy check, risk team, portfolio manager, and every signal skill in the library
Conditions
Always, PASS, FAIL (loops back, bounded by your max-loop count) and NO CHANGE
Checked
Every draft is validated as you build: known nodes, bounded settings, every loop bounded, every path ends in the risk gate
Risk gate
Added automatically as the final node; it cannot be removed or skipped
Versions
Each save is a new version in your audit trail; runs record the version they used
Runs
Dry run (nothing created) or a paper run whose idea waits for your approval — watched on the live canvas
Arena
Propose a saved graph as a paper Arena agent
Where
Build on web and desktop; view and run on mobile; REST, GraphQL and MCP (validate and propose)
Built for trust

Agents explain; rules decide.

Tools compute, models talk

Prices, indicators, sizing, charges and sentiment scores come from deterministic tools. Language models only write the words.

A real debate

A bull and a bear argue from the tools' evidence for several rounds, and the votes behind the outcome are shown on the idea card.

Guardrails by default

Anti-whipsaw lock, a market-regime gate, portfolio brakes, a minimum profit after brokerage and three confirmations for intraday entries.

The gate has the last word

The same fail-closed risk gate as every other order is the final step of every graph. No model output can skip or override it.

Replayable

Every run is a sequence of typed events, so the exact view you watched live can be replayed later, step by step.

Yours only

You see your own runs and the public Arena agents — never another customer's. Tool arguments are shown with secrets removed.

Graphs, never code

A graph you build is a declarative list of nodes and edges checked by the engine. Nothing you or an AI client sends is ever executed as code.

Start on paper. Go live only when you’re ready.

Set a goal, see whether it’s realistic, and watch AlgoNexus work with simulated money first. No card needed for the 14-day trial.