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The Future of Term Trading: Quantifying Tail Risk

Energy markets don't just reward accuracy; they reward risk management.

Read how understanding the likelihood of extreme scenarios can mean the difference between managing risk intelligently and hedging blindly, or risking it all. This white paper explores how term traders can use data, not intuition, to fine-tune position aggressiveness and hedging strategies up to 7 months out.

Amperon logo mark showing stylized A in black and light blue
Amperon Team
February 2, 2026
January 29, 2026
15 minutes

What you'll discover in this report

How probabilistic forecasting reveals the true likelihood of extreme events

How to understand and evaluate probabilistic forecasts

Risk-weighted trading strategies for term traders and load risk managers

The future of term trading for utilities, financial traders, and gentailers

With the advent of probabilistic forecasting methods, traders can use data that's continuously calibrated to real-world actuals, not just historical analogues to quantify and hedge against “tail risk,” or exposure to extreme events. Learn how probability-weighted decision making minimizes “gut feeling” decisions and arbitrary buffers, enabling traders to construct portfolios that match their organization's unique risk/reward profile.

Download The Future of Term Trading White Paper

Use cases

Load Risk Management
Quantify the likelihood of a full range of possible sub-seasonal and seasonal demand outcomes.
Maintenance Planning
Understand the risk of extreme weather months in advance to inform optimal outage scheduling.
Upside Capture
Position for upside scenarios by identifying periods when market prices assume median load outcomes.
Data-Driven Hedging
Use a disciplined framework to quantify and hedge against tail risk rather than under- or over-hedging.

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