From strategy idea to trading decision.
Build, validate, and execute systematic strategies without breaking the chain of evidence.
One connected process.
Research. Execute. Review. Repeat.
QuantStation keeps the strategy, the market, and the evidence in the same workflow—so every decision begins with context and ends with something you can learn from.
Build strategies in the languages quants actually use.
Create versioned Python and native Rust projects with typed properties, local datasets, and isolated validation in one focused workspace.
CAPABILITIESPython and native Rust↗Typed properties↗Local market datasets↗Isolated validation↗Test every assumption before capital is at risk.
Run regular backtests, walk-forward optimization, and multi-objective research with bounded parallel workers—then send every result into the same Report Lab.
CAPABILITIESRegular backtests↗Walk-forward optimization↗Multi-objective optimization↗Monte Carlo and prop simulation↗Move from research to execution without losing control.
Read historical and live context, work across persistent chart layouts, inspect orders and fills, and keep high-impact actions explicit.
CAPABILITIESNative multi-chart workspace↗Studies and drawings↗Smart orders and alerts↗Confirmed risk controls↗Turn every run and every trade into evidence.
Compare statistics, settings, trades, equity, drawdown, and concentration. Review what worked, what failed, and what deserves another test.
CAPABILITIESNative report analysis↗Portfolio concentration↗Trade-level review↗Journal and notebook context↗From signal to evidence.
No broken handoffs.
A clear boundary between interface and execution.
React renders the workspace. Rust owns validation, secure sessions, authenticated I/O, and broker actions. User Python runs in isolated child processes without broker credentials.
Explore security ↗Research, journals, notes, and private files begin on your workstation.
User strategy code runs behind a bounded message contract.
Live actions are validated, confirmed, and reconciled from authoritative events.
Broker and AI credentials never become client-side configuration.
Start local.
Expand when the workflow demands it.
Six tiers cover the path from a first local dataset to high-capacity research, AI assistance, and advanced recording.
Learn the workflow, then add portfolio tools and private sync.
Open the live workstation, remote assets, and Quant AI.
Raise capacity and capture richer workstation sessions.
Your trading process.
One serious workstation.
Bring research, execution, performance, and deliberate review into one native platform.