Find opportunities you
would otherwise miss

Katana leverages advanced machine learning to detect relative value opportunities by systematically scanning the whole universe of bonds for trade ideas.

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Our vision

Helping asset managers
make data-driven decisions

Our vision is to augment the decision making process by unlocking unbiased, data-driven trade ideas.

We use computational power and machine learning algorithms to help portfolio managers explore more ideas and find opportunities faster.

Discover new trade ideas

In a bond universe of 2,000 bonds there are 2,000,000 possible pair trade ideas. Every morning Katana scans the whole market for anomalies and identifies 100-200 ideas worth exploring.
Scan for trends
A data-driven dashboard to get an overview of the latest trade ideas
Search and filter
Search and filter the bond universe to find specific trade ideas matching your strategy and mandate.
Get a quick view of past trends and price inconsistencies per trade idea.
Save, share and comment on trade ideas with your team.
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Katana interface

About us

Founded by Santiago Braje, the team is located in London, looking for experienced traders, data-scientists and cloud developers

Santiago Braje

CEO & Founder

Androniki Menelaou

COO & co-Founder

Dennis Vis


Alexander De Souza

Head of Machine Learning

Buford Scott


Santiago Braje

CEO and Founder

Santiago Braje

Katana quickly points out potential trade pairs with atypical spread differentials. You screen and filter for obvious reasons such as liquidity premium on one leg of a trade or negative credit events, but in the remaining set of opportunities we found some very worthwhile trades to execute.
Chris Brils
Senior Portfolio Manager, Actiam
"We found a trade idea in Katana and a day after we executed our trades the sell-side made the same recommendation in a research note"
Thomas Thoden van Velzen
Portfolio Manager, PGGM
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