Historical Data Sourcing

Historical data sourcing is the process of acquiring high-quality, reliable price and order book data from various providers. In the crypto market, data quality varies significantly between providers, and sourcing accurate historical information is a major hurdle.

Traders must ensure that the data they use covers the full history of the assets in their universe, including delisted ones, to avoid bias. This involves evaluating providers based on data frequency, accuracy, latency, and historical depth.

Reliable data is the raw material for all quantitative finance; without it, even the most sophisticated models will fail. Sourcing involves managing multiple feeds, verifying data integrity, and maintaining long-term archives to support rigorous backtesting and research efforts.