Mitigate risk with our regime-aware strategies built with your portfolio in mind.
Test your strategies on high-quality synthetic, regime-conditional data — then export evidence for committee review.
An essential tool for quantitative portfolio managers
Quantolio Insights is built for Quant PMs, research leads, and risk and model-risk teams who need to test ideas across a universe of plausible futures — without being constrained by history or exposing sensitive data.
Agentic, regime-aware strategy validation
The workspace also supports Quantum Algorithm design, Quantum Application Development, and Computing Quantum research tracks, with optional IoT/Quantum Sensor integration to ground tests in real-world signals.
Delivered through three pillars
Isolate signal from overfit
Generate regime-conditioned scenarios and batch-test strategies for stability and drawdowns; every run is reproducible (seed + config).
Agentic decision-support with explainability
A multi-agent AI team proposes hypotheses and signals with a Signal Card (confidence, factor contributions, rationale, evidence) and passes policy gates before display.
Accelerate the research-to-decision cycle
Compress idea → validation → IC; batch tests output committee-ready artifacts with versioning, lineage, and a full audit trail.
How Quantolio Insights works
Generate regime-conditioned scenarios
Conditional generative models create realistic, controllable time series by regime, asset traits, or macro context.
Test & stress at scale
Batch backtests across scenario families; assess stability and drawdowns. Every run is reproducible (seed + config).
Ideate with an agentic co-pilot
A multi-agent AI team proposes hypotheses or signals with a Signal Card (confidence, factor contributions, rationale, evidence) and passes policy gates before display.
Validate & export evidence
Produce IC-ready bundles (results, assumptions, seeds/configs, policy checks) with versioning, lineage, and an audit trail.
See the Insights platform in action
The best way to understand our end-to-end strategy-validation workflow is to see it live. Schedule a demo to generate scenarios, run batch tests, review an agentic Signal Card, and export an IC-ready validation bundle — all in the same workspace.
Book a DemoTrusted by institutions where risk is non-negotiable.
Frequently asked questions
Regime-conditioned synthetic price series for backtests and stress tests; every run is reproducible (seed + config).
Yes — the generator preserves key market statistics and cross-asset structure and can be conditioned by regime to explore plausible futures (not just replay history).
It's an integrated multi-agent AI team that generates testable hypotheses and trading signals. Each recommendation is delivered in a transparent Signal Card detailing the confidence level, key contributing factors, and a full rationale — all while operating under your firm's predefined policy gates.
Modern API or file exchange (CSV/Parquet). Outputs include seeds/configs for full reproducibility.
Yes — per-asset regime mixing (e.g., AAPL = Bear, SPY = Bull) for targeted what-if analysis.
Yes — configure regime labels/triggers or ingest your own labels; the simulator and reports follow your taxonomy.
An IC-ready bundle: results, assumptions, seeds/configs, policy-gate outcomes, and the agentic Signal Card when enabled.
Encryption in transit and at rest, RBAC/SSO, and private-cloud or VPC options. No proprietary data is required to use the simulator.