A controlled market-data layer
Pricing should be normalized before downstream systems depend on it. Symbol names, precision, timestamps and session behaviour need consistent rules.
Distribution to broker systems
The same source data may feed trading servers, bridges, dashboards, risk tools and internal services. Distribution architecture should prevent one consumer from becoming a hidden dependency for others.
- Architecture and dependency mapping
- Platform and integration configuration
- Market-data and connectivity planning
- Testing of normal and failure workflows
- Production-readiness checks
- Operational documentation and support path
Mapping and quality checks
Instrument mapping, stale-price detection, spread behaviour and feed continuity are part of operational data quality. These checks belong near the data layer.
Integration lifecycle
We inventory sources and consumers, define mappings, test representative sessions and document fallback or recovery procedures.