Perpetuals to Participate at Upcoming Investor Conference

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CEO Patrick Gruhn to Present at the Emerging Growth Conference on June 10, 2026

Perpetuals.com Ltd (NASDAQ: PDC), the AI-powered financial services company that is leveling the playing field for traders, today announced that CEO Patrick Gruhn will present and take investor questions at the following online conference:

Emerging Growth Conference
Wednesday, June 10, 2026, at 4:10 p.m. Eastern Time

The presentation will be available via live webcast at: https://goto.webcasts.com/starthere.jsp?ei=1757504&tp_key=cc5c9b4321&sti=pdc

Questions may be submitted in advance to Questions@EmergingGrowth.com or asked during the event.

An archived replay of the conference can be seen at: https://emerginggrowth.com/

About Perpetuals.com Ltd

Perpetuals.com Ltd (Nasdaq: PDC) is a fintech company developing AI-powered trading products and prediction markets, with a global footprint across the United States, Europe, and Asia. Its mission is to reduce risk through empowering retail users with intuitive, secure, and efficient trading experiences that span the world’s capital markets. UpsideOnly, the company's flagship consumer product, is the first risk-free trading platform, pairing human market insight with proprietary BayesShield AI so users can share in trading profits without ever risking their own money.

Perpetuals’s proprietary AI system, BayesShield AI, combines advanced AI and data analysis. The technology is trained on billions of trades, monitors market activity in real time, identifies patterns for trading and risk decisions, and provides multi-asset coverage. The company’s technology is used by the EU-licensed Perpetual Markets Multilateral Trading Facility (MTF), PM MTF Ltd., an affiliate of Perpetuals.com Ltd., which operates under full MiFID II, MiCA, DORA, and EMIR compliance.

We may use blog posts on our website as well as our social media accounts, including our accounts on X, LinkedIn, and Facebook, to disclose material information about the company from time to time.

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