Scenario analysis for power trading: stress-testing portfolios properly
Electricity markets are shaped by constant uncertainty: weather swings, renewable variability, fuel disruptions and shifting system conditions. When
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How imbalance settlement really works across Europe
While Europe's Transmission System Operators (TSOs) follow the same Imbalance Settlement Harmonisation Methodology (ISHM), imbalance prices can differ
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Human vs algorithm decision-making in power trading: finding the right balance
The growth of algorithmic trading has drastically transformed the way power markets are traded. Automated systems are now key in generating signals,
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P&L attribution in power trading: separating skill from luck
Profit and loss in electricity trading is rarely driven by a single factor. Strong portfolio performance can be attributed to accurate forecasting,
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Power price scenarios as the key to sound investment decisions
The energy transition is no longer just a political goal - it is an investment market. From solar and wind parks to storage solutions and hydrogen
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Battery trading strategies: optimising dispatch across wholesale and ancillary markets
Batteries are touted as one of the key technologies that will help us transition to a flexible energy grid. The energy industry can utilise batteries firstly
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Machine learning for power price forecasting: what works and what doesn’t
Machine learning (ML) has become a widely discussed tool in power trading, often seen as a way to achieve more accurate price forecasts and automate
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Portfolio positioning using forward curves: from signals to strategy
The core concept of portfolio positioning using forward curves is identifying when a market features prices higher in the current market or in the future
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Fuel switching and carbon prices: when gas displaces coal in the generation stack
Generation economics change with EUA movements, so it's key that traders can highlight cross-commodity trading signals when they occur. One key process