Data pipelines for power trading: building the infrastructure behind algorithmic strategies
Algorithmic power trading relies on more than just models and strategies. Its foundation is a less visible yet equally vital element: data infrastructure.
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Geopolitics in power markets explained: why global events drive electricity prices
Electricity markets have always been shaped by physical constraints and local system conditions. For most of their history, that was enough to explain price
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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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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