Some key capabilities of the cQuant.io trade analysis solution include:
Transacting in today’s highly volatile energy markets requires quick decision-making based on precise and robust analytics. cQuant.io’s cloud-based energy analytics platform puts powerful analysis in the hands of energy market participants, allowing them to asses deals from every angle. Correlated Monte Carlo price simulations provide a probabilistic view of future market conditions and facilitate scenario analysis on forward curves and trade volumes. These simulations provide a solid foundation on which to build valuations for complex deals, such as full or partial requirements load contracts and other structured transactions.
Additionally, cQuant’s trade analysis solution includes dispatch optimization and cash flow reporting models for thermal generation, storage, and renewable assets. This allows users to asses value and risk for hybrid transactions and portfolios that include both physical and financial components. The simulation-based approach provides insight into distributions of future cash flows, enabling rigorous evaluation of hedge effectiveness and risk reduction value in a portfolio context.
In today’s energy markets, not having access to the best data analytics is not only a competitive disadvantage, it’s a financial liability. cQuant.io’s trade analysis solution provides the analytical power your organization needs to stay ahead of the market.