Distributed Web Crawling

Algorithm

Distributed web crawling, within financial markets, represents a systematic approach to data acquisition, differing from conventional methods through its decentralized nature. This technique is particularly relevant for cryptocurrency markets and derivatives due to the fragmented data landscape across numerous exchanges and data sources. Implementation involves deploying multiple, independent crawlers—often utilizing proxy networks—to circumvent rate limits and IP blocking, enhancing data coverage and resilience. The resulting data streams are crucial for quantitative analysis, algorithmic trading strategies, and real-time risk assessment in volatile asset classes.