Key benefits
Shorten time-to-value
Evaluate hypotheses at the speed of thought and get watertight strategies to market faster than competitors.
High-performance data processing
Handle and process large volumes of historical time-series data quickly, enabling faster backtesting cycles.
Develop robust and accurate models
Fine-tune strategies against a wide range of data to improve alpha generation and minimize market impact.
Granular analysis
Perform granular, point-in-time, trade performance investigation to improve insights.
Backtesting at scale with highly performant data analytics
This blog identifies the essential components you should consider to optimize your analytics tech stack and incorporate emerging technologies (like GenAI) to enhance backtesting at scale.
With KX you can…
Easily and efficiently aggregate large volumes of historical data to the precision required by your models.
Reconstruct National Best Bid and Offer (NBBO) or order books at any time in the past.
Leverage highly performant join capabilities to determine market conditions at specific points in time or periods of time.
Replay historical data to simulate real-time feeds and assess how your strategy would have performed.
Run your logic on multiple dates in parallel, significantly shortening backtest execution times.
Execute complex queries rapidly with a high-performance engine, improving data query efficiency.
