Cloud workspace
A managed research environment with notebooks, charts, and elastic compute when you need it.
Private review · Cloud-native quantitative research
The platform for creating
trading agents
qnt.actor unifies research, market data, AI-assisted strategy development, and human-in-the-loop deployment — from first backtest to approved trade on managed cloud infrastructure.
1
Research
Build and backtest a strategy in your workspace.
2
Compose
Package logic into a deployable trading agent.
3
Approve
Review proposals before anything reaches the market.
Assistant
Understands your research context and helps you iterate safely.
Everything you need in one place
Research
Validation
Trading agents
Human oversight
Product
One platform from research to trading agent deploy
You shouldn't need a dozen separate tools for data, backtests, notebooks, and execution. qnt.actor brings it together in one workspace — so you can build, test, and deploy trading agents with control at every step.
Strategy development
Build, test, and optimize strategies with tools that work together in one workspace.
Market data
Integrated access to the price, fundamental, and options data your models depend on.
AI research assistant
An in-workspace assistant that understands your research and helps author validated code.
Trading agent composition
Turn proven strategies into composable agents with regime routing and clear lifecycle stages.
Human-in-the-loop execution
Research never goes live automatically. Operators approve every trade with full context.
How it works
Discover → backtest → compose → approve
- Request access Apply for private review and get a cloud research environment sized for your workload.
- Research and validate Develop strategies, run backtests, and explore results in one place.
- Work with the assistant Get help grounded in your own research — not generic copy-paste answers.
- Deploy with oversight Compose trading agents and release them only after human approval.
One continuous path
Discover data → Build strategy → Backtest & optimize → Compose trading agents → Deploy with human-in-the-loop
3
Lifecycle phases
1
Workspace
0
Blind auto-trading
Platform
A workspace that just works
qnt.actor runs in your browser — market data, notebooks, and an AI assistant included. Try an idea, see how it performs, and when you're ready, deploy a trading agent with a human review before anything goes live. No servers or toolchain to set up on your side.
Managed cloud
Per-user isolated compute, secure access, and a browser-based workspace that opens in seconds.
End-to-end workflow
Data, research, agent composition, and controlled deployment — not a patchwork of vendors.
Safe by design
Clear separation between research and live execution, with audit-friendly approval flows.
Built for iteration
Elastic resources for heavy backtests and optimization, without local environment friction.
Status
Private review on qnt.actor
- Platform in private review — access by application
- Full research loop from data access through strategy validation
- In-workspace AI assistant with guardrails for your code
- Trading agent lifecycle from research to human-approved execution
From first backtest to trading agent deploy — one cloud-native platform, human-in-the-loop control at every critical step.
Private review
Apply for early access
qnt.actor is in private review. Tell us what you're building and we'll review your application for access.