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Trading the forward curve: turning fundamentals into profitable positions

Forward markets are where power traders express long-term views, lock in value, and manage structural risk. The forward curve captures expectations, risk premium, and liquidity - and when utilised effectively, becomes a potent source of Profit & Loss (P&L). The key is to view the curve not as a static forecast but as a dynamic landscape influenced by evolving fundamentals, policy, and positioning.

January 7th, 2026
Energy forward curve trading

What forward curves represent in power markets

Forward curves indicate both price expectations and the risk premium assigned to each delivery period. Traders often mentally distinguish between them. A clear fundamental outlook might suggest a tight winter, yet the market could price in a substantial risk premium due to historic volatility or uncertainty around nuclear availability.

Different parts of the curve show varied behaviours. Base curves offer a smooth view of system costs, while peak curves emphasise scarcity risks during working hours. Elements like seasonality, cross-border flows, and technology mix influence the disparity between them.

Liquidity levels differ greatly across regions and product types. German hubs often provide deep liquidity for quarterly and seasonal products, whereas peripheral markets tend to offer reliable volume mainly near delivery dates. Some desks keep a map of liquidity windows indicating where trading size is secure, where slippage increases, and which brokers are trusted for handling block risks.

The key drivers of curve shape

The forward curve is never random. It reflects fundamental forces that shape supply-demand balance across time.

Fuel and carbon expectations remain central. In gas-related markets, the connection between hub gas, carbon, and forward Baseload often explains much of the curve movement. Hedging by generators strengthens these trends.

Seasonal demand and renewable generation patterns are equally significant. Winter tightness versus summer surplus remains a persistent factor in northern markets, while solar-heavy regions experience strong shoulder effects.

The capacity margin outlook shapes market expectations. Factors such as nuclear maintenance, coal plant closures, and the expansion of batteries or interconnectors all affect anticipated scarcity. Traders pay close attention to announcements, permitting schedules, and REMIT (Regulation on Wholesale Energy Market Integrity and Transparency) disclosures.

Policy risk outweighs fundamentals. Contracts for Difference, subsidy regimes, and coal or nuclear phase-out plans can transform entire years. The curve often prices in policy expectations before physical fundamentals shift.

Trading strategies by tenor

Every segment of the curve presents different opportunities. Some traders specialise in front quarters, while others develop large structural positions further out along year three.

Common approaches include:

  • calendar spreads: month vs quarter, quarter vs quarter

  • shape trades: winter vs summer, peak vs base

  • basis trades: hub vs hub, local balancing areas vs continental benchmarks

  • structural optionality: leaning into moments when policy or fleet structure is changing

Shape trades are popular because they align with natural seasonal patterns. Winter and summer spreads tend to widen when fuel markets tighten, while peak-versus-base spreads respond to heatwaves, nuclear power output, and cross-border flows.

Regional arbitrage also plays a role. Correlations between France and Germany, or the UK and the Netherlands, fluctuate due to outages, interconnector constraints, and storage economics. Basis traders take advantage of these gaps, often combining them with fundamental weather signals.

Optionality regarding structural policy changes exists further along the timeline. Decisions on coal exits, nuclear delays, or hydrogen plans can alter a system's trajectory by two or three years. Taking early positions during these periods can lead to asymmetric rewards: minimal risk if policies stall, but significant gains if they accelerate.

Managing roll, carry and liquidity

A forward book is constantly evolving. Factors like roll timing, carry, and liquidity management influence returns just as much as overall market direction.

Roll decisions weigh execution risk against liquidity. Traders often roll early to avoid thin shoulder tenors or late to capitalise on residual dislocations. The key is not to treat roll timing as merely administrative - it is a trading decision.

Carry logic is important when a curve is in contango or backwardation. If winter trades at a premium to summer, holding a winter position incurs a financing cost. In backwardated markets (where near-term prices are higher than longer-term prices), carry can be a positive factor. Understanding carry helps explain why some positions profit even when the market direction is flat.

Liquidity cliffs occur where contracts lose market interest. Far along the curve, size can vanish quickly. Desk discipline often involves pre-agreed plans for managing liquidity droughts instead of reacting spontaneously.

Linking curve trades to physical exposure

Forward strategies rarely operate in isolation. Utility portfolios, generator hedging programmes, and customer supply obligations all shape positioning.

Hedge ladders are commonly used to mitigate generator risk. Selling forward across multiple tenors smooths revenue while maintaining optionality for favourable market movements. The number of rungs on the ladder depends on the company’s appetite for volatility.

Risk premium harvesting is often practised when supply is reliable, and forward curves reflect market anxiety. During stable periods, selling this premium provides consistent income, even if spot prices are uneventful. However, in highly volatile years, it may be better to keep long optionality rather than harvest the premium.

Forward overlays are becoming increasingly popular during turbulent periods. When spot volatility increases, extending forward cover safeguards cash flow without sacrificing upside potential. The key is laddering exposure so that portfolios are not locked into a single price point.

Conclusion

Effective forward curve trading combines deep structural understanding with disciplined execution. Markets favour traders who know the reasons behind curve movements, rather than just their actions. Leading the curve, by predicting changes in fundamentals, policy, liquidity, and risk premiums, is more valuable than responding after adjustments occur. Using a reliable framework and a solid knowledge of carry, roll, and shape, forward markets provide resilience and opportunities for portfolios that think proactively.

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