Quant Trading Post-Trade Analysis with Snowflake
Accelerate the search for alpha by unifying traditional and alternative (e.g., crypto/blockchain) data to backtest systematic strategies, capture market arbitrage, optimize execution algos, and manage risk.
Data Access and Sharing
Bring together significant volumes of data – from new alternative datasets to internal proprietary data – to power quant research & trading workloads.
Consistency Across Workloads & Teams
Build models to backtest systematic strategies, capture market arbitrage, and optimize execution algorithms without workload contention.
Scale and Performance
Lower data management TCO by removing the need for expensive, large and unscalable on-prem (e.g., tick) database technology.