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.