Market Data Engineering
Ingestion, books, integrity, provenance, replay.
Solutions
This page separates current engineering capabilities from planned product areas and access tiers.
Now
Market data infrastructure, market microstructure research, modular execution architecture, risk controls, observability, reproducible measurement, and AI/ML-assisted analytics where technically justified. These are current engineering capabilities; planned commercial products are listed below.
Ingestion, books, integrity, provenance, replay.
Designed path from data to TCA, with core components implemented and tested.
Evidence-backed measurements with clearly defined scope and limitations.
Product direction
Derived and normalized datasets, historical datasets, liquidity and market-quality analytics, dashboards, APIs.
Execution-quality measurement, fee analysis, slippage, benchmark comparison, transaction cost analytics.
Exposure monitoring, system health, reconciliation, alerting, execution monitoring, audit trails.
Data validation, backtesting infrastructure, statistical evaluation, experiment provenance, reproducibility, research reporting.
Enterprise APIs, custom data pipelines, private deployments, execution analytics, risk systems, low-latency integration, dedicated environments.
Institutional technology
PLANNEDPlanned technology and infrastructure capabilities for institutional environments.
Programmatic access to approved data and analytical interfaces.
Venue-normalized event streams and derived datasets for a private environment.
Dedicated deployment environments for institutional workflows.
Post-trade analysis of fees, slippage, spread and execution-path quality.
Software-based monitoring, configurable limits and automated risk controls.
Low-latency integration guided by measured performance requirements. Colocation and FPGA acceleration are on the roadmap.
General users
Planned non-advisory analytics: liquidity visualization, spread and depth metrics, volatility analytics, market-quality indicators, historical market structure and dashboards that describe market conditions.
Informational analysis of execution cost, fees, spread, slippage, liquidity and adverse movement, without personalized buy or sell recommendations.
Access model
Tiers are planned and not yet commercially available.
For individuals and learners. Selected dashboards; delayed or aggregated analytics; educational market-structure information; selected historical data.
For professional users and independent researchers. Richer analytics; advanced liquidity metrics; historical research datasets; API access.
For quantitative teams. Normalized multi-venue datasets; high-resolution research data; advanced APIs; research tooling.
For funds and professional trading organizations. TCA; execution analytics; risk tooling; professional data infrastructure; custom integration.
Dedicated environments; custom pipelines; private deployment; contractual support; infrastructure engineering.
Commercial deployment of any tier is subject to technical readiness, data-rights, contractual requirements and applicable legal review.