Data Ingestion Processes

Architecture

Data ingestion processes function as the foundational framework for capturing disparate streams of raw market information from decentralized cryptocurrency exchanges and centralized order books. This structural design prioritizes low-latency extraction to ensure that high-frequency trading engines receive synchronized tick data without significant bottlenecks. Effective systems leverage modular connectors to normalize asynchronous inputs into a unified schema suitable for downstream derivative modeling.