Perpetuals.com Ltd. (NASDAQ: PDC) and the European Institute of Management (EIM) have announced the launch of a joint research group that will pair more than 20 doctoral researchers with Perpetuals to develop AI-powered trading models combining machine learning and crowd intelligence. The initiative, expected to run for at least three years, aims to advance the understanding of behavioral finance, trader performance classification, market microstructure, and model risk.
The researchers will have access to Perpetuals’ proprietary trading datasets and live venue data, providing a unique opportunity to analyze real-world trading behavior and market dynamics. This collaboration is notable because more than half of the participating researchers are currently employed by Perpetuals, indicating a strong integration of academic research with industry practice. The joint group is poised to generate insights that could lead to more sophisticated and adaptive trading strategies, potentially benefiting retail and institutional traders alike.
Perpetuals.com is a fintech company that develops AI-powered trading products and prediction markets, with a global footprint 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. According to the company, Kronos X 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, underscoring its commitment to regulatory standards. This collaboration with EIM could further strengthen Perpetuals’ position in the AI trading space by leveraging academic expertise to refine its models and risk management frameworks. For the broader financial industry, the research group’s findings may influence how AI and machine learning are applied to trading, potentially setting new benchmarks for transparency and efficiency.
The focus on behavioral finance and trader performance classification suggests that the group will explore how human psychology and crowd behavior interact with algorithmic systems. This could lead to more robust models that account for irrational market movements and improve predictive accuracy. Market microstructure research may also yield insights into liquidity, price formation, and execution quality, which are critical for optimizing trading venues and reducing slippage.
Model risk is another key area, as AI-driven trading systems can be vulnerable to overfitting, data biases, and unexpected market conditions. By addressing these challenges, the joint research group could help develop best practices for validating and monitoring AI models, which is essential for maintaining market integrity and protecting investors.
The initiative’s three-year timeline provides ample opportunity for longitudinal studies and iterative improvements. With Perpetuals’ live venue data, researchers can test hypotheses in real time, bridging the gap between theory and practice. This approach may accelerate the adoption of AI-driven solutions that are both innovative and reliable.
For readers, this news matters because it signals a growing trend of collaboration between fintech firms and academic institutions to push the boundaries of AI in finance. As AI continues to transform trading, such partnerships could lead to safer, more efficient markets and new tools for managing risk. The outcomes of this research may ultimately influence regulatory perspectives and industry standards, shaping the future of digital asset trading.
For more information, visit the full press release at https://ibn.fm/p7Pzl. The latest news and updates relating to PDC are available in the company’s newsroom at https://ibn.fm/PDC.
