Perpetuals.com Ltd. (NASDAQ: PDC) and the European Institute of Management (EIM) have established a joint research group that pairs more than 20 doctoral researchers with Perpetuals to develop AI-powered trading models that integrate machine learning and crowd intelligence. The collaboration, announced in a press release, is set to run for at least three years and aims to advance the understanding of behavioral finance, trader performance classification, market microstructure, and model risk.
The initiative is significant because it brings together academic rigor and industry data to tackle some of the most challenging problems in financial markets. By giving researchers access to Perpetuals’ proprietary trading datasets and live venue data, the group is positioned to generate insights that could lead to more robust and adaptive trading strategies. More than half of the participating researchers are currently employed by Perpetuals, ensuring that the research is closely aligned with commercial applications and can be rapidly deployed.
Perpetuals, a fintech company with operations across the United States, Europe, and Asia, focuses on AI-powered trading products and prediction markets. Its mission is to reduce risk by empowering retail users with intuitive, secure, and efficient trading experiences across multiple asset classes. The company’s proprietary platform, Kronos X, combines advanced AI and data analysis, is trained on billions of trades, monitors market activity in real time, identifies patterns for trading and risk decisions, and provides multi-asset coverage with self-clearing blockchain-based settlement. The company’s licensed European Multilateral Trading Facility (MTF) infrastructure and Kronos X multi-asset exchange platform operate with full MiFID II, MiCA, DORA, and EMIR compliance.
The joint research group’s focus areas are critical to the evolution of algorithmic trading. Behavioral finance examines how psychological factors influence market outcomes, while trader performance classification seeks to distinguish skilled traders from those who are merely lucky. Market microstructure research delves into the mechanics of how orders are executed and how prices form, and model risk addresses the potential for AI models to fail or produce unintended consequences. By combining machine learning with crowd intelligence—harnessing the collective wisdom of many traders—the group hopes to create models that are both powerful and resilient.
This collaboration matters because it signals a growing trend of integrating academic research with real-world trading data to develop next-generation financial technologies. For investors, it suggests that Perpetuals is investing in long-term innovation that could enhance its competitive edge. For the broader market, the findings could lead to more efficient and stable trading environments. The involvement of doctoral researchers also highlights the importance of talent development in the fintech sector, as companies compete for expertise in AI and quantitative finance.
The initiative is expected to produce peer-reviewed research, new trading models, and potentially commercial products. With Perpetuals’ infrastructure already compliant with major European regulations, the research outcomes could be quickly tested and scaled. The company’s newsroom at https://ibn.fm/PDC provides ongoing updates on its developments. As AI continues to reshape finance, partnerships like this one between Perpetuals and EIM may set a precedent for how industry and academia collaborate to solve complex problems and drive innovation.
