Iren - Targets and Technical StructureIREN LimitedBATS:IRENTesi_Daniela_RadiceOver the last several quarters, Iren Limited has continued to position itself as one of the most closely watched companies within the intersection of high-performance computing, AI infrastructure and Bitcoin mining. The company’s industrial strategy for 2026 appears increasingly focused on scaling its data center capacity, expanding AI and GPU-related infrastructure and improving operational efficiency across its energy-intensive computing operations. As the market continues shifting toward AI-driven workloads and large-scale computational demand, companies capable of combining energy access, infrastructure scalability and computing capacity are becoming strategically relevant. At the same time, the broader market environment continues to reward firms operating at the convergence of digital infrastructure, energy optimization and computational power. This is one of the reasons why Iren Limited is increasingly being analyzed not only as a traditional Bitcoin mining company, but also as a potential infrastructure player within the evolving AI ecosystem. From a technical analysis standpoint, the medium-term structure currently remains constructive. Price action continues to respect Fibonacci projection levels with a degree of precision that has already been observed multiple times during previous impulsive phases. At the moment, the chart structure appears consistent with a possible Minor degree Wave 3 according to Elliott Wave Theory, with a projected price target around 79$ if the current impulsive structure remains valid. I recently launched my Substack channel focused on markets, technology and business model analysis through a quantitative, structural and data-driven approach. The focus is not on short-term predictions, but on understanding the economic, industrial and technological dynamics driving long-term value creation. AI, software, digital infrastructure, financial markets and industrial transformation analyzed beyond superficial market narratives.