In 2017, a global physical energy trading company sought a deeper understanding of the factors influencing oil prices and trading volumes across global markets. The work sits within the Energy industry and a global footprint.
The client wanted to understand both direction and what drives movements in global oil/products prices and volumes, while working with a growing mix of signals drawn from markets and public information streams.
NorthGravity implemented a machine learning model that combined market data, supply-and-demand indicators, and NLP analysis of news and social media, leveraging new alternative datasets to reveal price drivers and support forecasting.
The NorthGravity Platform integrated over 200,000 datasets spanning market price data, S&D metrics, and insights from news and social media, giving the client a more nuanced understanding of market dynamics and price fluctuations and enabling more informed trading decisions.
