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Swiss stablecoin project CHFD enters testing phase with two new partners

Cointelegraph · Zoltan Vardai

Nine Swiss companies have started sandbox tests of CHFD, a Swiss franc-backed stablecoin designed for programmable payments and digital asset settlements. The pilot focuses on exploring whether programmable payments can reduce fraud in online marketplaces, ensure fair ticket access, and improve public payment efficiency. The initiative, launched in April, has added financial market operator SIX and payment app TWINT as new participants.

Overview of the pilot project and objectives

The CHFD pilot aims to explore the use of a stablecoin pegged to the Swiss franc for programmable payments and digital asset settlements. Testing will focus on assessing how programmable payments can help reduce fraud on online marketplaces, support fair access to event tickets, and enhance the efficiency of public payments.

The project seeks to establish the practical benefits and reliability of the technology in real-world scenarios, which is critical for advancing financial services involving digital assets in Switzerland.

Participants and development stages

Launched in April, the initiative has involved nine Swiss companies conducting sandbox tests. Recently, two new participants joined the project: financial market operator SIX and payment app TWINT.

These partners strengthen the project’s ecosystem by expanding functionality and infrastructure for digital payments based on the CHFD stablecoin. Their involvement facilitates testing the stablecoin across various sectors and improves integration with existing financial systems.

Why it matters

This news is significant as testing programmable payments with the CHFD stablecoin could lead to safer and more efficient financial operations in Switzerland, advancing the digital economy. The involvement of key players like SIX and TWINT shows increasing interest in integrating crypto assets into traditional financial infrastructures and applying them to reduce fraud and enhance fairness in digital transactions.

Prepared from the source material with AI-assisted editing and checked against the supplied facts.

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