Data Infrastructure
Streaming pipelines process high-frequency market events with strict latency budgets and deterministic replay capability.
Our Approach
Vestige combines quantitative research and production engineering to run transparent systems with explicit risk controls.
Principles
Architecture and operations are shaped by these non-negotiable standards.
Our HYPERION system uses specialized agents working in concert across pattern recognition, risk assessment, and execution optimization.
Position sizing and risk management are primary controls. Every trade path passes through layered risk gates before execution.
Zero-copy data flows and optimized execution infrastructure minimize signal-to-order latency without sacrificing reliability.
Only strategies with durable, out-of-sample evidence progress to production. We prioritize robustness over headline returns.
Execution Loop
Each stage is observable, audited, and bounded by predefined control logic.
01
Continuous ingestion and analysis of market microstructure data across asset classes and venues.
02
Machine learning models detect patterns and produce signals with confidence-weighted outputs.
03
Signals move through portfolio-aware risk checks for sizing, exposure, and tail-risk limits.
04
Smart routing infrastructure manages slippage and market impact while preserving intent.
05
Real-time observability and anomaly controls track health, behavior, and performance drift.
Technology Foundation
Streaming pipelines process high-frequency market events with strict latency budgets and deterministic replay capability.
GPU-backed training and inference pipelines support model governance, periodic retraining, and controlled production rollout.
Multi-venue routing and impact-aware execution logic target fill quality while honoring risk and exposure constraints.