Energy Traders
Maximize profitability with AI that continuously learns the dynamics of the whole system across markets and optimizes trades.
Power system modelling and AI, pointed at one question: what should this desk quote tomorrow, and what are our risks?
01 · The forecast
A price distribution for every delivery day, not a single number.
Power system modelling, weather and market fundamentals, carried through as distributions so the desk sees the whole shape.
Forecast distribution
02 · The recommendation
Optimize bid, offer and volume recommendations around your business goals.
- Position optimisationQuotes and volumes sized against the forecast distribution
- Risk assessmentStrategies scored on exposure and confidence before you commit
- Anomaly detectionOdd prices, inputs and model behaviour flagged at the quote
- Full automationRun advisory, or let the algorithm quote end to end
Trade recommendationIllustrativeBid€122.43Offer€129.46Volume50 MWAccept & Log RecommendationOverride / No TradeConfidenceIllustrativeTight forecast band, bias within tolerance. No anomaly detected.
SharpnessHoldingModel biasWithin band03 · The record
Every recommendation, and what the desk did with it, is logged.
Accept, override or stand down — each decision kept and reconciled against settlement.
Trade logReconciled against settlementAug 22 Accepted €117.03 / €120.81 50 MW Aug 21 Accepted €112.45 / €116.30 40 MW Aug 20 Overridden €109.90 / €113.60 25 MW Aug 19 Accepted €115.20 / €119.20 60 MW Aug 18 No trade — — 04 · The proof
Realised performance, and the counterfactual beside it.
Scenario analysis and strategy testing: replay model and strategy variants against new market conditions before they go live.
Performance — cumulative P&L over the periodIllustrativeRealisedBacktestCompareTotal P&LHit rateAvg / trade# Trades
See it on your book.
We backtest on your market and your delivery windows before anything goes live.
Request a demo