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. The collaboration combines machine learning and crowd intelligence, with researchers gaining access to Perpetuals' proprietary trading datasets and live venue data. The initiative is set to run for at least three years, and more than half of the participating researchers are currently employed by Perpetuals.
The research will focus on behavioral finance, trader performance classification, market microstructure, and model risk. By integrating academic rigor with real-world trading data, the group aims to generate insights that could lead to more sophisticated and resilient AI trading systems. This matters because it signals a deepening intersection between academic research and commercial trading, potentially accelerating innovation in algorithmic trading and risk management.
Perpetuals.com is a fintech company developing AI-powered trading products and prediction markets, with operations across the United States, Europe, and Asia. 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 trading platform, Kronos X, combines advanced AI and data analysis. It 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. This regulatory compliance is crucial for operating in European markets and ensures that the research and trading activities adhere to strict financial standards. For investors, the partnership with EIM could enhance Perpetuals' credibility and technological edge, potentially leading to new products and improved performance.
The joint research group's work on behavioral finance and trader performance classification could yield valuable insights into how human psychology and crowd dynamics influence markets. Such insights might inform the development of AI models that better predict market movements and manage risk. The focus on market microstructure could also lead to improvements in trade execution and liquidity provision.
For the broader fintech and trading industry, this collaboration exemplifies how companies are increasingly turning to academia to gain a competitive advantage in AI. It also highlights the growing importance of data-driven research in developing next-generation trading platforms. As AI continues to transform financial markets, partnerships like this may become more common, driving innovation and shaping the future of trading.
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