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TradeLlama applies creative thinking and machine learning to large volume trade data, so asset managers can better understand the behavior of portfolio managers.
TradeLlama Who we are

Who we are

The core team, starting with a small group of committers to an open-source framework (Lift), the niche community of Scala developers across the globe, was initially put together nearly a decade ago, to address specific trade surveillance issues.

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TradeLlama What we do

What we do

Apply creative thinking and machine learning to large volume trade data so that asset managers can better understand the behavior of portfolio managers. The largest asset managers in the world rely more on lawyers and guesswork than actual data, when it comes to assessing their critical assets (their people) and how and why they make decisions. They apply computational firepower to investment analysis, but due to economics and legacy IT balkanization, very rarely does such rigor come to the middle and back office.

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Blog

  1. TradeLlama Creative Thinking

    Creative Thinking

  2. TradeLlama Meet Yama

    Meet Yama

  3. TradeLlama What is Spoofing/ Layering? How can Spoofing/ Layering Be Monitored?

    What is Spoofing/ Layering? How can Spoofing/ Layering Be Monitored?

  4. TradeLlama The TradeLlama Promise.

    The TradeLlama Promise.

  5. TradeLlama Announcing Dr. Jason Morton

    Announcing Dr. Jason Morton