NordSearch Podcast

Why Most Algo Trading Systems Fail (Intraday Power Trading Explained)

46 min · 25 de mar de 2026
Portada del episodio Why Most Algo Trading Systems Fail (Intraday Power Trading Explained)

Descripción

Most algo trading systems don’t fail because of models. Patrick speaks with Steffen Krutzinna, founder of PX Dynamics, about intraday power trading and algorithmic trading strategies. They break down how successful trading systems are built, common mistakes in data and execution, and why having a clear trading edge is critical in competitive energy markets.

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episode AI-First Power Trading | Can New Entrants Challenge the Incumbents? artwork

AI-First Power Trading | Can New Entrants Challenge the Incumbents?

“There should be no reason that a trader understands the market better than a machine that knows all the rules.” Patrick speaks with Jacob Hansen, CEO & Co-founder of Aro Inc, about building an AI-first intraday power trading company from scratch. Coming from a software and data background including helping scale Nordic challenger bank Luna from 13 to 700 people. Jacob shares how Aro is approaching power trading differently from traditional trading firms. They discuss fully automated trading infrastructure, AI-assisted strategy research, rapid deployment of new trading strategies, and why small, highly technical teams may have an advantage over larger incumbents. One particularly interesting insight from the conversation was Aro’s internal goal of eventually getting from: idea to live strategy in production within one day. Jacob also explains why they believe AI agents could soon be capable of developing viable trading strategies themselves with humans remaining responsible for validation and risk management. A fascinating conversation on the future of intraday power trading, automation, AI, and how new entrants are challenging the traditional energy trading model. A must-listen for professionals in power trading, algorithmic trading, AI, and energy markets.

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