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ABOUT
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2024
2015
THE FUTURE OF
ENERGY TRADING
SOLUTIONS
ABOUT
We aspire to a future where demand and supply synchronize flawlessly, maximizing resource efficiency and fostering a sustainable planet.

Our mission is to help stakeholders solve complex challenges related to forecasting the production and consumption of energy resources.
The day when we shall know exactly what electricity is will chronicle an event probably greater,
more important than any other recorded in the history of the human race.
Nikola Tesla
MARKETS
Our first MWh trade in the U.S. power market utilizing our AI model and we are the second American company to trade in the European market.
The U.S. power market stands as the largest and most dynamic electricity marketplace in the world, consisting of several interconnected sub-markets. This intricate system is largely managed by Independent System Operators (ISOs), which ensure efficient regulation of both day-ahead and real-time energy trading.
At NDC Partners, we are proud to be an active participant in this thriving market. It was here that we traded our very first megawatt-hour (MWh) using our cutting-edge AI model, marking the beginning of our journey to innovate energy trading. Today, the U.S. market remains a cornerstone of our operations, with active trading across multiple regions: CAISO in California, MISO and SPP in the Midwest, ERCOT in Texas, and PJM on the East Coast, NYISO in Mid-Atlantic and New England States in the US and the Canadian Provinces of Ontario, Quebec, and Maritimes.

Expanding our vision globally, NDC Partners entered the European energy market. Our first successful trade was in the Netherlands, where we start trade on EPEX Spot—one of the largest and most respected energy exchanges in Europe. This step solidified our presence in the European market, expanding our reach and reinforcing our commitment to energy innovation.
SOLUTIONS
Generation Forecast

Our approach is data-driven and powered by advanced AI technology. We integrate insights from over 10 weather models and internally combine multiple power

forecasting models for greater accuracy.


These solutions are specifically tailored for short-term power trading, optimized at both portfolio and asset levels. They efficiently handle operational data, such as SCADA metrics and availability information, ensuring optimal decision-making.

Trade Optimization

Our automated bidding strategies leverage price forecasts to strategically trade energy volumes on a day-ahead or intraday basis, maximizing short-term trading profits.


This data-driven, AI-powered approach utilizes advanced price forecasting models, which incorporate dozens of external data sources, including weather models and fundamental market data. These external inputs are integrated with internal models that utilize over a hundred internally developed features, resulting in highly optimized trading decisions.

Numbers

VAR less than 6% Our model operates with a daily objective to maintain peak efficiency and risk control.


365 days Trading days (vs 220 in capital markets) result in higher Sharpe ratio.

CORE TEAM


  • Aleksandr Berkovich
    Co- Founder & CFO

    Aleksandr , an MIT graduate with degrees in Mathematics and Electrical Engineering/Computer Science, boasts over 7 years of experience as a treasuries trader at Deutsche Bank. There, he developed and managed proprietary trading models for the US Treasuries market and created a successful automatic market-making system.

  • Slava Kuznetsov
    Co-Founder & COO

    Slava Kuznetsov, with a master’s degree in Applied Mathematics and Artificial Intelligence, has over a decade of experience as a model strategist on the front desks of top financial institutions, including BNP, Deutsche Bank, and Merrill Lynch. He is a recognized authority in the creation of industrial high-frequency trading systems.

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