Resources

Learn how AI-powered Learning-to-Rank (LTR) algorithms can optimise quantitative investment strategies.

All you need to know about Axyon AI .

Delivered 500+ bps overperformance in 2022 for large wealth manager implementing Axyon AI’s Eurostoxx50 asset selection on an equity fund’s sleeve.

Provided our customer with equity/fixed income, FX and multi-asset overlays since 2018, with more than $300M under technology.

Fund powered by Axyon AI European Equity Indices strategy ended 2022 as the best performing Quant vehicle for a large European Asset Management firm.

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Learn how AI-powered Learning-to-Rank (LTR) algorithms can optimize quantitative investment strategies by:
➡️ Exploring different LTR approaches and their applications in financial asset ranking
➡️ Learning from a case study on EURO STOXX 50 index
➡️ Getting insights into selecting the best LTR technique for enhanced investment decision-making

Presented by:
Jacopo Credi, CTO & Co-founder 
Giovanni Davoli, Data Scientist

Learn how AI-based technologies can improve the performance of ESG investment strategies. Topics covered during the webinar:

➡️ How ESG data can support relative performance predictions
➡️ Watched a live demo of our AI platform
➡️ Understood how deep learning how AI and deep learning solutions can help asset managers

Presented by:
Francesca Campanelli, CCO
Mirko Savasta, Head of Quant
Giovanni Beliossi, Business Advisor

Learn how wealth managers can incorporate advanced AI into their investment strategies with Direct Indexing. Topics covered:
➡️ What challenges institutional investors may face when willing to implement AI to enhance their investment strategies,
➡️ How can institutional investors assess AI-based investment strategies? What should they look out for?

Presented by:
Daniel Grassi, CEO and Co-founder
Mattias Eriksson, CO & Founder of C8 Technologies
Riccardo Baroni, Head of Italy of C8 Technologies

In this episode, we invited one of our scientific advisors, Prof. Simone Calderara, Professor at the Engineering Department “Enzo Ferrari” of the Univesity of Modena and Reggio Emilia (UNIMORE). Topics covered :

➡️ The challenges and evolution of ML
➡️ Impacts generative AI

Presented by:
Daniel Grassi, CEO and Co-founder
Professor Simone Calderara, UNIMORE