For over a decade, integrating Python and q has been crucial to the infrastructures of many of our largest clients. Seamlessly combining these technologies provides […]
The ultimate guide to choosing embedding models for AI applications
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.
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.
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.
Quantitative analysts know how important it is to find insights from data quickly and accurately. Discover the future of data management in Wall Street with our new eBook, “Quant Trading Data Management by the Numbers”. Dive into the evolution of streaming analytics, time-series data management, and generative AI, understanding the crucial roles that each play in quantitative trading systems.
In this eBook, you will learn:
The complexities of fast, voluminous market data.
How streaming data powers low latency decision making.
The shortcomings of conventional data technologies.
How domain-specific technologies are up to 100x more efficient.
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