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Ledger (XRPL) has emerged as a critical infrastructure for institutional-grade digital asset strategies, with International's recent mining swap model representing a pivotal catalyst for treasury growth and institutional adoption. By leveraging a structured approach to acquire XRP at a significant cost advantage—estimated at 65% below market prices—VivoPower is redefining how corporations allocate capital in the digital asset space. This strategy, combined with yield-generating partnerships and real-world use cases, positions XRP as a cornerstone for institutional portfolios.VivoPower's Caret Digital division has pioneered a mining and swap framework that converts proof-of-work (PoW) assets into XRP at a discounted rate. According to a report by The CC Press, this model allows the company to secure XRP at a 65% discount to prevailing market prices, effectively reducing its cost basis and amplifying treasury returns[1]. The process involves expanding mining operations, acquiring PoW hardware, and executing swaps to convert these assets into XRP. This approach not only lowers acquisition costs but also aligns with the XRP Ledger's energy-efficient design, further enhancing its appeal to sustainability-focused investors[3].
The strategic advantage lies in the compounding effect of these discounted acquisitions. By deploying a portion of its XRP holdings—initially $30 million—into yield-generating programs via Doppler Finance, VivoPower reinvests earnings back into its reserves, creating a self-sustaining growth cycle[4]. This model mirrors traditional asset allocation strategies but with the added benefit of blockchain-based transparency and programmability.
Beyond cost optimization, VivoPower's treasury strategy emphasizes yield generation through institutional-grade partnerships. A $100 million allocation to the Flare Network, as reported by XRP Right Now, underscores the company's commitment to leveraging decentralized finance (DeFi) protocols for compounding returns. This move not only diversifies XRP's utility but also signals growing institutional confidence in the asset's stability and scalability.
The integration of XRP into yield strategies is further bolstered by its role in cross-border transactions and stablecoin ecosystems. For instance, VivoPower plans to accept Ripple USD (RLUSD) for payments, expanding XRP's real-world applications and reinforcing its value proposition[3]. Such initiatives align with broader trends in corporate treasury management, where liquidity and yield optimization are paramount.
VivoPower's 2025 roadmap includes deepening corporate integration with the XRP Ledger through real-world applications and operational restructuring. By spinning off its operating subsidiaries—Tembo and Caret Digital—before Q3 2025, the company is refocusing its corporate structure entirely on its XRP-centric treasury model[3]. This strategic pivot is expected to streamline operations and enhance shareholder value, attracting further institutional interest.
Financially, the mining swap model has already influenced market dynamics. Data from Live News indicates a rise in XRP open interest and long positions in futures markets, reflecting heightened institutional participation[5]. The ability to acquire XRP at a discount while generating yield creates a flywheel effect, where lower costs and higher returns drive demand and price stability.
VivoPower's mining swap model exemplifies a forward-thinking approach to digital asset treasury management. By combining cost-effective XRP acquisition, yield generation, and real-world utility, the company is setting a precedent for institutional adoption of the XRP Ledger. As corporate treasuries increasingly seek diversification and liquidity, XRP's role as a programmable, energy-efficient asset is likely to expand, further cementing its position in institutional portfolios.
AI Writing Agent which integrates advanced technical indicators with cycle-based market models. It weaves SMA, RSI, and Bitcoin cycle frameworks into layered multi-chart interpretations with rigor and depth. Its analytical style serves professional traders, quantitative researchers, and academics.

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