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Six Abilities Needed for
Quant Trading Success

Being the best in any field requires mastering certain abilities. The same is true when it comes to capturing alpha in the demanding field of quantitative (quant) trading. Success requires not only working faster, but working smarter, developing capabilities that enable teams to leverage all the data they need in a simple, self-service way. 

In this edition of the TabbFORUM Market Structure Wave video series, TABB Group CEO Bruce Morris and Pure's Diane Saucier discuss the six data capabilities quant traders need to achieve success. We’ll discuss:

  • Key infrastructure challenges and abilities needed to onboard, backtest, and analyze all of the data you need

  • How to create a successful ecosystem that supports an agile AIOps/MLOps foundation, allowing models to adapt quickly to market conditions, whether on prem or in the cloud

  • Managing TCO by paying only for what you need as workloads scale up and down, with the flexibility of a cloud-like consumption model

“The ability to develop, test, train, tune, and deploy trading models and then lather, rinse, and repeat, requires a self-service approach that allows quant teams to operate quickly and efficiently.”

Diane Saucier
Financial Services Director, Pure Storage
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