Machine learning generated Lead Indicators for commodity trading

Offentlig prosjektsammendrag

The objective is to research and then develop a Machine Learning generated suite of services in the energy commodity trading sector in general and UK/NW Europe gas and power commodity markets in particular. The project will deliver Machine Learning generated lead price indicators for traders of global commodity markets. These will be in the sectors of Energy (gas, power, coal), Oil (crude oil and all oil products), Metals (Gold, Silver, Iron, Copper etc), agriculture (coffee, cotton, sugar, soya etc) and even currencies. In our core area of gas and power in UK/NW Europe we have achieved initial results in our feasibility testing which are very encouraging. Investigations will start in European gas and power and expand to other commodities (US Gas, Coal etc) and then to the other Sectors.