Maximizing Profit, Minimizing Risk
About Us
EEMM provides advanced trading strategies for institutional energy producers and consumers. Our energy experts, data scientists and trading specialists work with different quantitative models to ensure the best result for your individual trading needs. The right approach combined with the accurate strategy assures the competitive advantage and results in a positive performance outcome. We use our understanding of the complex environment of energy markets to secure long-term sustainable returns on investments. EEMM's dedicated trading solutions are applicable on most energy exchanges.
Energy, Big Data, State-of-the-Art, Artificial Intelligence
Combined and applied to Europe’s leading energy markets
Our state-of-the-art quantitative strategies are based on mathematical models combined with algorithms and artificial intelligence. The models support both the quantity forecast for production or consumption and the trading algorithms in determining the optimum price point on the market. This process takes place through a complex elaboration and analysis of performance metrics of big data sets. In the case of weather data, this enables specific optimization of non-linear production forecasts. Furthermore, machine learning contributes to a multi-criteria improvement of dynamic and complex systems.
1
Input
The elaboration and analysis of performance metrics in big data sets such as weather data to optimize non-linear production and consumption forecast.
2
Method
Machine learning approach based on artificial intelligence techniques create the best possible trading strategy to find the optimum price point.
3
Output
Implementation of our adaptable advanced trading strategy on spot and forward markets.
EM² Analytics Terminal
The EEMM Analytics Terminal enhances volume forecasts by taking into account weather conditions, past performance and other market relevant factors. With the support of our specially developed trading algorithms, the EEMM Analytics Terminal, determines the price likely on the market for the corresponding zone. These processes are carried out through complex elaboration and analysis of performance metrics using Big Data methods. The results of this complex process are the so-called trading signals (EM² signals), which are then implemented on the market.
Production
Consumption
Emission Trading
Let's back test our strategy on your individual trading needs
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