Market data processing
High-volume trade data and model-training workloads need a considered approach to ingestion, storage and processing. AMM’s infrastructure work connects those requirements to the trading and analytical systems that use the data.
From data feeds to usable information
Receiving a market feed is only one part of the workflow. Timestamps, symbol conventions, missing updates and historical storage must be considered before data can support a strategy.
- Exchange and market-data feed integration
- Normalization and validation
- Historical datasets and retrieval
- Operational data monitoring
Research & model workflows
Analytical and machine-learning workflows depend on clear datasets, defined evaluation methods and a path from research output to usable software. Infrastructure is designed around the workload and its processing requirements.
Discuss your requirements
Describe the sources, expected update frequency, historical coverage and analytical tasks involved. This gives the team a concrete basis for discussing architecture, dependencies and delivery.