Monk SmartTrade
AI-native trading and execution systems.
Market signals, sentiment, and trading data on a continuous engine. Strategies retrain on production state. Fills happen in single-millisecond decision paths.
The production loop, end to end
01Tick ingest
Direct feeds, news, and alternative data all stream into the same engine — no broker in between.
02Hybrid retrieval
Vectors, features, and historical context joined in one query path. Sub-millisecond.
03Decide
Strategy logic runs adjacent to the data, with risk limits applied per order in real time.
04Publish
Orders publish from the same engine. Closed-loop logging back into training data.
From market tick to order publish, in one engine
What you get on day one
Production-grade primitives, wired into a continuous engine. No glue code, no second-system integration, no batch wait.
Multi-source signal fusion
Market data, news, alternative data, and sentiment in one engine.
Low-latency execution
Decision and routing logic next to the data, not over a network hop.
Risk-aware strategies
Position, exposure, and risk limits applied per order in real time.
Continuous learning
Models retrain on production state without disrupting live trading.
Plugs into the tools you already run
- Bloomberg B-PIPE
- Refinitiv
- IEX
- Polygon
- FIX
- OMS / EMS
- Smart routers
- Direct market access
- HuggingFace
- PyTorch
- ONNX runtime
- Triton
When the entire decision path lives in one engine, the conversation about latency stops being about glue code and starts being about real strategy.
- 1.0 msp99 signal-to-fill across the engine
- 50K+Decisions per second per node
- 100%Online learning, zero downtime
- SOC 2 Type II
- ISO 27001
- PCI DSS
- MiFID II
- CFTC
- GDPR
Run strategies that improve as markets move.
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