ninatso combines market data, analytics and forecasting models to put decisions on procurement, PPA evaluation, hedging, storage projects and short-term trading on a solid footing.
Power Purchase Agreements — thoroughly vetted.
PPAs are the forward-looking form of energy procurement — but their structure determines value and risk. ninatso evaluates PPA offers across all technologies and structures, physical and virtual.
In line with the market — or too expensive?
We help mid-sized industrial companies and municipal utilities understand whether their energy contracts are in line with the market — based on deep knowledge of pricing logic and margins on the supplier side.
Post-trade. Honest.
Which tranching worked and which did not? We analyse your existing hedging strategies — against the market, against the risk profile, against the original plan.
Evaluation of trading strategies.
Evaluation of our day-ahead and intraday trading strategies — transparent performance metrics from ongoing balancing energy and portfolio management in the central European power markets.
Revenues and prices in the balancing power market — robustly assessed.
We support investors and contract parties on battery storage, hydrogen and other storage projects and assess expected revenues in the balancing power market in independent expert reports. Short-term price forecasts for the individual balancing power products complement the analysis.
Structured through the entire annual cycle.
Our proprietary procurement process guides you reliably through every phase — from defining risk appetite and evaluating purchasing strategies to ongoing reporting.
Founder of ninatso · Energy markets, risk and analytics
For more than 15 years I have worked in European power, gas and commodity markets: in risk management, portfolio steering and contract structuring, in Berlin, Hamburg and London.
I know the pricing logic of energy suppliers from the inside. As a trader and risk manager on the supply side, I valued complex linear and non-linear products, advised risk committees at C-level and structured PPAs with industrial off-takers and generators. This knowledge feeds directly into benchmarking, PPA evaluation and hedging strategies.
Data analysis is no add-on: I build my own tools in Python, SQL and Power BI, from portfolio dashboards to evaluating day-ahead positions against balancing energy prices.