Referential Labs

What is quant observability?

Observability for algorithmic trading means having visibility into your strategy's behavior across backtesting, paper trading, and live execution. This includes surfacing data quality issues, flagging potential methodology errors, monitoring execution quality, and understanding why live performance differs from backtest results.

Who is this platform for?

Quant researchers developing new strategies, developers building trading infrastructure, and portfolio managers monitoring live execution. We work with family offices, prop trading firms, and hedge funds of all sizes.

Do you offer implementation services?

Yes. Beyond our platform, we provide hands-on engineering support for integration, calibration, and ongoing refinement. Our team has built trading infrastructure at firms managing billions in AUM. We help you tune the platform to your specific strategies and infrastructure.

What problems does the platform help surface?

Divergence between backtest and live results. Data quality anomalies that need investigation. Execution patterns that warrant attention. Risk exposures approaching limits. The platform surfaces issues for review—your team applies judgment about which require action.

How is this different from building in-house?

Building robust observability infrastructure requires significant engineering investment. Our platform gives you a foundation immediately, while our services team can help integrate it with your existing systems and refine it as you learn what patterns matter for your specific strategies.

What does onboarding look like?

We start with a technical assessment of your current infrastructure and identify where observability will have the highest impact. From there, we deploy the platform, integrate with your data sources, and configure initial alerts and dashboards. Expect ongoing refinement as you learn which checks are most valuable for your use cases.