Introducing
ORION
Most systematic research teams run backtests in one tool, generate hypotheses in another, and deliver signals manually. ORION replaces the stitching — backtest, hypothesis engine, and signal delivery in a single governed pipeline, built on your infrastructure.
Designed by institutional systematic equity PM — the research flow reflects how production quant teams actually operate.
Today’s systematic research workflow involves a lot of manual stitching: backtests run in one system, hypothesis generation is ad hoc or spreadsheet-based, and signal delivery requires someone to package and route output to the right desk. ORION replaces the stitching with a single governed pipeline — from hypothesis kickoff to portfolio-ready signal — without requiring you to migrate your data or change your execution layer.
Systematic Strategy Evaluation
Manual backtesting is slow, parameter-sensitive, and biased toward the regimes you thought to test. ORION runs automated evaluation across historical regimes with agent-driven parameter search — outputs ranked by Sharpe, max drawdown, and regime-conditional performance. You see the strategies that survive the regimes you didn’t anticipate.
Hypothesis Engine
Most idea generation is either discretionary (subject to recency bias) or limited to the data sources you’ve already integrated. ORION’s hypothesis engine synthesizes alternative data, macro signals, cross-asset flows, and sentiment continuously — agent-curated and ranked by signal strength and historical reliability, so the queue reflects what the data suggests, not what you’ve been watching.
Portfolio-Ready Output
Signal packaging and routing is typically manual — someone exports, formats, and routes output to the right desk or system. ORION delivers signals directly to your execution layer or reporting stack, adapting to your existing infrastructure. No new systems. No forced migration. Signals arrive in the format your team already works with.
ORION is built for
- Systematic equity and quant macro teams who run research across disconnected tools
- Portfolio managers building or formalizing a systematic process who need a governed pipeline
- Research teams at regulated firms that need auditability baked into the research flow
ORION is not (currently) for
- Discretionary managers with no interest in systematic signal generation
- Teams looking for a fully managed, cloud-hosted SaaS with no infrastructure touchpoints
- High-frequency or ultra-low-latency execution use cases
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