Katana utilizes the new Terminal Connect Graph API and releases the first interoperability with Bloomberg
We’ve spent some time refreshing Katana’s layout and improving the accessibility of some powerful filters on the Discover page. This ensures users can find relevant ideas even faster!
ESG is becoming a major topic in the field of investment. In that light, we have added an ESG filter to different ideas to switch from conventional to ESG bonds. We have also increased our bond coverage even further by adding High Yield bonds (USD and EUR denominated).
We’ve identified an issue where some of our users are losing the monitor lists they have created when using the Katana app inside the Bloomberg terminal.
We've added additional filtering options to allow you to focus on curve trades. With a single click you can now choose to only see curve trades from Katana.
In addition to that we've also added a filter to only display trade ideas that shorten in maturity.
We have simplified the onboarding process and tailored it so that the dashboard provides trade ideas within your area of interest and identifies bonds that are cheap or rich bonds in your portfolio or watchlist.
We have also fixed the bug in the Bloomberg APPS KTNA <GO> and now your settings and saved filters are not erased.
We've listened to feedback and improved the layout of Katana's dashboard in order to more easily identify rich and cheap bonds in your monitor lists, and provide the most relevant ideas based on your focus.
We’ve added the possibility to search for a bond using CUSIP, enhanced our suite of filters to include z-score, z-spread diff, reversion and similarity and further improved Katana's trade idea algorithm.
This release includes changes to align Katana more with Bloomberg description.
We have added a novel metric, the Relative Value (RV) score, to discover and rank whether a bond is cheap or expensive on the Monitor page. In addition, we now support monitoring multiple lists.
We’ve added some useful information to the Z-spread Difference charts we display on our trade idea pages. This helps to provide better insights into the magnitude of dislocations and a clearer perspective on the historical behaviour of the difference in spreads.
We’ve listened to feedback and analysed how our users interact with the Katana platform. From this we identified some improvements to how users achieve the task of swapping a bond. These include introducing an indication of bond liquidity and the ability to pre-apply filters for the opposite side when searching for a specific bond.
With the announcement of our partnership with IHS Markit and access to more than 130K bond instruments, we are expanding the already available bond universes and adding the Investment Grade US Corporate bond and European supranational, sub-sovereign (regional) and agencies bonds universe, totalling to five distinct universes and over 30K bonds that users have access to.
Today we are releasing a powerful set of filters to filter through the bonds and also the ability to access all different bond universes Katana Labs offers.
In particular, you can now have powerful filters to search by ISIN(s) and issuers, decide whether you want to include or exclude them and also whether you want them on the buy or sell side explicitly. This will enable you to tailor and customize your search to your exact needs.
Today we are releasing refinements that advance our machine learning algorithms' identification of mean-reverting bond pairs. Our model is now considerably more effective at discarding spuriously correlated pairs and disentangling pair motions from bulk market movements. These improvements are encapsulated in two key areas of the model:
Today’s release allows users to search through thousands of identified relevant ideas and improves the search and filtering functionalities, to help users identify the opportunities to best match their mandate.
The new watchlist and position monitoring feature allows users to create a list of ISINs to track via a simple copy-paste mechanism. ISINs can be identified, added or removed from the monitoring list over time.
The user is informed of relative bond performance daily, gaining valuable insights to guide their trading decisions. On a daily basis, the user will be informed of how each bond is performing compared to other similar bonds.