Date: November 2025
Press releases and corporate updates for informational purposes only. No advice or recommendation. No offer or solicitation. Regulatory & Risk Disclosures.
The Risk Off stands out by focusing on trends that are negatively correlated with equities, offering a valuable layer of diversification and resilience in volatile environments.
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AiForAlpha Team presented its decoding technology using AI and Machine Learning at Société Générale's premises in Geneva. This approach provides investors with liquid, transparent, diversified, and cost-effective access to major investment strategies: Trend Following, Private Equity, Global Macro, and more.
Proud to announce that Ai For Alpha, led by Baptiste Lefort in collaboration with CentraleSupélec, has won the Best Paper Award at ECMLPKDD 2024 MIDAS workshop for the second time!
Baptiste Lefort presented an equity market investment strategy, enhanced by sentiment analysis of text data at the 40th International Conference of the French Finance Association (AFFI 2024).
Our research on the link between market sentiment and equity returns has been accepted at the 17th Financial Risks International Forum. This discovery enables investors to use AI for more informed decision-making: "Can ChatGPT Compute Trustworthy Sentiment Scores from Bloomberg Market Wraps?".
We're delighted to announce that Alain Pitous has been invited on InvestisseurTV to talk about "Artificial intelligence will change the world ... starting with financial services and asset management!"
We welcome one of the top graduates from Université Paris Dauphine - PSL's prestigious IASD master's program to our team! He'll be starting a Ph.D. at CentraleSupélec on "NLP Analysis on the Impact of News and Its Cascading Effects on Financial Markets."
At Ai For Alpha, we leverage state-of-the-art Natural Language Processing technologies, prompt engineering from OpenAI, and advanced Google searches to decode financial news.
Ai For Alpha and LAMSADE (Université Paris Dauphine) team presents its research paper entitled: FSDA: Tackling Tail-Event Analysis in Imbalanced Time Series Data with Feature Selection and Data Augmentation.
Ai For Alpha Team presents its research paper entitled: Comparing Deep RL and Traditional Financial Portfolio Methods. The paper deals with a comparative analysis between traditional portfolio allocation methods and Deep Reinforcement Learning (DRL) to maximize risk-return profiles.
Ai For Alpha is honoured to announce that it has received the Women TechEU Award 2023. It is the sole French Fintech company among the winners” says Beatrice Guez.
Beatrice Guez had the pleasure to be interviewed by SRP to deal with AI in structured products.
Beatrice Guez had the pleasure to engage in the workshop on applied investment approaches at the 2023 Societe Generale Quant Conference.
Beatrice Guez had the pleasure to be interviewed by La Jaune et La Rouge to deal with AI in finance.
Eric Benhamou from Ai For Alpha participated in the 2023 MathFinance conference to present his latest work on machine learning applied to portfolio allocation.
Beatrice Guez had the pleasure to be invited to the microphone of Yannick Robert to discuss tools to identify the different biases of many investment strategies delivered by the market.
We are very proud of our collaborator David Saltiel who successfully obtained his PhD in reinforcement learning in computer science on Wednesday 7 December 2022!
We are proud to receive this strong recognition from l’Agefi, demonstrating our willingness to deliver the best to our clients. Thank you for this nice recognition!
In the current context of inflationary environment, Central Banks and politicians no longer have any way to control the financial markets. Our conclusion is that momentum strategies are the best adapted. Ai Trend Following Strategy leverages the performance of macro trend strategies with 30% YTD performance.
Artificial Inteligence Asset Management appointed Ai For Alpha to develop an allocation model for different asset classes. Ai For Alpha acts as the Fund's asset allocation advisor.
See some notable works and the Best Paper Award.
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.
"Comment accueillir le rapport sur l'emploi américain du mois de septembre ?"
Interview by Guillaume Sommerer.
We launched a GENDER EQUALITY PLAN in accordance with company values. Gender equality is essential at Ai For Alpha and we promote diversity and inclusion.
Global Markets Incubator launches its fourth promotion.
Best paper award on Adaptive Supervised Learning for Volatility Targeting models.
Jean-Jacques Ohana gives 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 speakers 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? .
Jean-Jacques Ohana presents Ai For Alpha solution to detect bubbles on stock market.
Ai For Alpha and Homa Capital joined forces on a research project to shed light on developments in the equity markets.
Participation of Beatrice Guez to the webinar about "Sécurisation dynamique de vos actifs en temps de crise et importance de l'allocation".
In collaboration with Société Générale, the team attended as speakers about Knowledge discovery with Deep RL for selecting financial hedges.
David Saltiel attended as speaker about Bridging the gap between Markowitz planning and deep reinforcement learning.
David Saltiel attended as speaker on Timing Hedges with Deep Reinforcement Learning.
David Saltiel spoke about similarities between policy gradient methods in reinforcement and supervised learning.
David Saltiel attended as speaker on Trade Selection with Supervised Learning and OCA.
Ai For Alpha presented joined work with Homa Capital on using deep reinforcement learning (DRL) for portfolio allocation.
David Saltiel attends GECCO as speaker on Bayesian version of CMA-ES.
The Finance Innovation Label was awarded by the competitive cluster Finance Innovation in Paris.
David Saltiel attended as speaker on Trade Selection with Supervised Learning and OCA.