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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Model risk in power trading: why algorithms fail during stress events
Algorithmic trading now plays a key role in modern power markets, enabling faster execution, improved data analysis, and more structured decision-making.
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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
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Decarbonisation and long-term power pricing dynamics
Carbon pricing dynamics have been designed to help reach global decarbonisation goals efforts and they have a considerable effect on trading strategies as a
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Why haven’t higher gas prices hit German power prices yet?
The expectation after the Iran conflict was straightforward: higher gas prices, higher gas burn and higher carbon costs should have pushed German electricity
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Automated intraday trading in power markets: turning forecast changes into trades
Intraday power markets are where algorithmic trading provides some of its most tangible value. Prices move rapidly, liquidity fluctuates throughout the day,
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Carbon prices and power markets: understanding the coupling mechanism
The price of energy, whatever the source, is intrinsically linked to carbon prices - if carbon pricing rises, so do operational costs, making one source less