Solutions

Likron supports independent utilities and energy-intensive businesses in optimizing their power generation and procurement portfolio with respect to short term trading.

The trading horizon ranges from week-ahead, spot and intraday all the way up to balancing.
Our aim is to monetize market inefficiencies for our customers. To achieve that we rely on continuous analysis of historical and real-time market data using up-to-date quantitative methods and detection of stable correlation patterns that show significant potential for optimization. All strategies are implemented within a powerful and efficient IT setup. This can be easily and flexibly integrated into the IT environment and the forecasting and trading work flows of our customers.

I | Portfolio optimization

I | Portfolio optimization




Physical assets offer the possibility to monetize volatility in the markets. This includes all types of power generation – either from flexible power plants, biomass or conventional, or from fluctuating generation based on wind or solar energy, regardless of their controllability. On the consumption side optimization potential can also be unlocked, both in fluctuating consumption of energy-intensive businesses as well as controllable plants.


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II | Trading strategies

II | Trading strategies




As seasoned experts in the energy market, we have developed a comprehensive understanding of the mechanics and dynamics of the various market segments. On this basis we develop profitable trading strategies by using modern quantitative methods.
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III | Automation

III | Automation




As one of the first companies in the market Likron enables its clients to trade with algorithms by using the programmatic interface ComXerv API for intraday trading of EPEX SPOT. Not only do we cover the technological aspects such as implementing the API and providing appropriate trading tools, but we also develop and supply high-performance execution algorithms that place significant volumes with minimal impact in the market within a single application.


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