Axyon AI’s models learn to rank assets according to their expected performance. These AI-Based Signals can be used to sort the assets belonging to the investment universe according to their expected performance over a given time horizon in the future (a week, a month, or three months).

Use cases

• Daily ranking of constituents of the selected investment universe i.e. the benchmark index. Alternatively, if published to Axyon AI, this could be an AI-driven ranking of the client portfolio.
• The signal information includes rank, change in ranking, relative performance score, and the top forecast drives (descriptors).
• These can be used as an additional data set in the current investment process to challenge existing investment conclusions.