Chiara Fusarbassini developed a new CournotPortfolioStrategy for the assume-framework/assume repository, enhancing the system’s ability to simulate market behavior in backend bidding processes. She implemented the strategy in Python, calculating bids as a markup over marginal cost and scaling them by total unit capacity, which allows for more accurate modeling of market dynamics. Her work included improvements to type hinting throughout the bidding codebase and the addition of a min_bid_price parameter in LearningConfig to strengthen validation and safety. This feature laid a solid foundation for future portfolio strategies, demonstrating depth in backend development and market simulation techniques.