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?

  1. 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
    Forecast price distribution for a delivery day, with percentile markers and an inside spread
  2. 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 recommendationIllustrative
    Bid
    €122.43
    Offer
    €129.46
    Volume
    50 MW
    Accept & Log RecommendationOverride / No Trade
    ConfidenceIllustrative

    Tight forecast band, bias within tolerance. No anomaly detected.

    SharpnessHolding
    Model biasWithin band
  3. 03 · 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 settlement
    Aug 22Accepted€117.03 / €120.8150 MW
    Aug 21Accepted€112.45 / €116.3040 MW
    Aug 20Overridden€109.90 / €113.6025 MW
    Aug 19Accepted€115.20 / €119.2060 MW
    Aug 18No trade
  4. 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 periodIllustrative
    RealisedBacktestCompare
    Total P&L
    Hit rate
    Avg / trade
    # Trades

See it on your book.

We backtest on your market and your delivery windows before anything goes live.

Request a demo