For many operators, power trading remains more of an art than a science that still relies heavily on heuristics and trader intuition. But as markets evolve and deviate from historical patterns, the tools and methods to make smarter trades must adapt in order to maintain or grow profitability and become a sustainable source of competitive advantage.
In this webinar, we talk about our experience of integrating data science into forecasting and trading analysis, and how we used Cognite Data Fusion to enable analysts and traders to work iteratively in a data science process across a range of analytical topics within the trading domain.
Check it out and leave your comments below! What do you see as the biggest opportunities and challenges within power trading analytics?