Key benefits
Explore behavioral patterns over time
Unlock insights by searching through historical and real-time data, allowing for deeper analysis of market trends and behaviors.
Advanced temporal similarity search
Perform high-speed similarity searches on streaming data without the need for embeddings or complex models, ensuring swift analysis.
Real-time anomaly detection
Immediately identify patterns and irregularities to proactively prevent issues, manage risk, and maintain trading integrity.
High-efficiency historical search
Search vast time-series datasets with unprecedented efficiency, thanks to our compression and vector search technology.
Seven Innovative Trading Apps and Seven Best Practices You Can Steal
Discover the secrets of the high-stakes world of capital markets, where trillions of events are processed daily, there’s no room for delay in our latest eBook.
With KX you can…
Detect patterns with Temporal Similarity Search for better trading decisions and reduced risk exposure.
Generate signals from patterns in historical data to capitalize on market opportunities.
Run simultaneous searches on millions of data points in seconds, improving your time-to-decision.
Identify and correct data feed issues fast, minimizing risk and ensuring operational continuity.
Reduce time-series data windows by over 99% with advanced compression, enhancing search performance.
Execute complex queries rapidly with a high-performance engine, improving data query efficiency.
Webcast: Three innovative quant trading applications and three ideas everyone should steal
Wall Street data is different from Main Street data. The capital markets generate data that can change hundreds of thousands of times a second. Traders […]
11 Insights to Help Quants Break Through Data and Analytics Barriers
How bringing together data management and analytics at speed helps quantitative analysts find insights faster.
Quant Trading Data Management by the Numbers
Discover the future of data management in Wall Street with our new eBook and dive into the evolution of streaming analytics, time-series data management, and generative AI.
