Automated quality checks and an async Python API enhanced financial data processing, improving data accuracy, system efficiency, and developer productivity.
A leading proprietary trading firm specializing in quantitative research, liquidity provision, and financial risk management. The firm maintains a proprietary trading platform, leveraging advanced technology and data analytics to optimize trading strategies across equities, fixed income, and commodities.
The client’s symbology data system faced scalability and accuracy challenges, impacting financial operations. Key issues included:
These inefficiencies limited scalability, reduced accuracy, and slowed financial decision-making.
Turing implemented a high-performance data solution using automated quality checks, an async Python API, and real-time dashboards to improve data access and reliability.
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