The asset management company Artificial Inteligence Asset Management has appointed Ai For Alpha to develop an allocation model for different asset classes: equity indices, commodities and VIX. Ai For Alpha acts as the Fund's asset allocation advisor and provides allocation recommendations via proprietary artificial intelligence software.
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Ai For Alpha's research partnership with LOIM has produced some notable works on deep reinforcement learning (DRL) and gradient boosting decision trees (GBDT) to rely on adaptive machine learning methods to take the typical regime changes of volatility into account. These works have leaded to great outcomes including two forthcoming publications in distinguished journals and the Best Paper Award at the 2021 MIDAS/ECML-PKDD conference.
This ML-based methodology leverages market, financial and macro-economic data to anticipate regime changes and explain model allocations.
Ai For Alpha has been selected by EIT Digital in its Innovation program to promote technology champions in Digital Finance.
"Comment accueillir le rapport sur l'emploi américain du mois de septembre ?".
Find the interview of Jean Jacques Ohana on BFM BUSINESS by Guillaume Sommerer.
GLOBAL MARKETS INCUBATOR’S launches its fourth promotion.
Ai For Alpha received best paper award on work on Adaptive Supervised Learning for Volatility Targeting models.
Jean-Jacques Ohana from Homa Capital gives us his expertise on financial market.
Ai For Alpha is proud to announce the closing of its first fund raising with renowned business angels in the finance industry.
Ai For Alpha presented work on Explainable AI (XAI) models applied to the multi-agent environment of financial markets.
Ai For Alpha presented work on Adaptive learning for financial markets mixing model-based and model-free RL.
Ai For Alpha presented work on Explainable AI Models of Stock Crashes: A Machine-Learning Explanation of the Covid March 2020 Equity Meltdown.
In collaboration with Société Générale, Eric Benhamou, David Saltiel and Sandrine Ungari attended the panel session on FINTECHS and INVESTMENTS as speaker about Bridging the Gap Between Markowitz Planning and Deep Reinforcement Learning.
Ai For Alpha is hosting the webinar Comment améliorer ses décisions de gestion grâce à l'IA? organized by Finance Innovation.
Jean-Jacques Ohana from Homa Capital presents Ai For Alpha solution to detect bubbles on stock market.
Ai for Alpha and the management company Homa Capital have joined forces on a research project to shed light on developments in the equity markets .
Participation of Beatrice Guez From Ai For ALpha to the webinar organized by Vincent Lapadu-Hargues fom FINANCE-INNOVATION about "Sécurisation dynamique de vos actifs en temps de crise et importance de l'allocation" .
In collaboration with Société Générale, Eric Benhamou,David Saltiel and Sandrine Ungari attended the workshop as speaker about Knowledge discovery with Deep RL for selecting financial hedges .
In collaboration with Société Générale, David Saltiel attended the workshop as speaker about Bridging the gap between Markowitz planning and deep reinforcement learning .
In collaboration with Société Générale, David Saltiel attended the workshop as speaker on Timing Hedges with Deep Reinforcement Learning .
David Saltiel spoke on work about similarities between policy gradient methods in reinforcement and supervised learning .
David Saltiel attended the workshop on MIning DAta for financial applicationS (MIDAS) as speaker on Trade Selection with Supervised Learning and OCA .
Ai For Alpha presented our joined work with Homa Capital on using deep reinforcement learning (DRL) for portfolio allocation at the premier European machine learning and data mining conference.
Ai For Alpha's data scientist, David Saltiel, attends the Genetic and Evolutionary Computation Conference (GECCO) as speaker on work about Bayesian version of CMA-ES .
The Finance Innovation Label was awarded by the competitive cluster Finance Innovation in Paris.
David Saltiel, attended the 12th Financial Risks International Forum as speaker on work about Trade Selection with Supervised Learning and OCA
