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Ripple, publicly connected to 13k banks... The outlook for XRP at $625 is highly anticipated
Ripple launches a large-scale financial network with ‘Ripple Treasury’, reigniting XRP price prospects. An X user claims that, based on the number of connected banks and settlement volume, the average price of XRP could reach at least $625.
According to foreign media reports on the 13th, Ripple stated that its financial platform has connected 13,000 banks, with an annual settlement processing volume of $12.5 trillion. After acquiring GTreasury for $1 billion, Ripple reorganized it into ‘Ripple Treasury’, emphasizing that it is a platform where institutions can fully verify cash flows.
This figure has caused a huge reaction in the market. The XRP community had previously speculated about the 1,700 confidentiality agreements signed between Ripple and enterprises, because this disclosure revealed that Ripple’s network scale is much larger than previously expected. Especially considering the size of registered banks and credit unions within the United States, Ripple’s influence is interpreted as having extended beyond the U.S., reaching the entire Western financial sector.
Analyst Patrick L. Riley, who posted on X, believes that such settlement volume supports the logic of XRP’s ‘actual utility value’. He hypothesized that processing $12.5 trillion in settlements annually with 20 billion XRP and applying a model, the average value of XRP could be about $625. However, this estimate is based on the premise that XRP actually relays and processes the entire transaction volume.
Currently, Ripple’s statement only confirms the Treasury network and settlement scale, and does not mean that the $12.5 trillion is settled directly with XRP. Nevertheless, the fact that Ripple’s institutional network scale has been confirmed is becoming material to further boosting long-term expectations for XRP. Currently, XRP is trading at $1.39.
Article summary by TokenPost.ai
🔎 Market interpretation
Ripple disclosed the ‘Ripple Treasury’ connecting 13,000 financial institutions, confirming that its institutional network scale far exceeds expectations.
The annual settlement volume of $12.5 trillion has stimulated expectations for the actual usage foundation of XRP and is attracting market attention.
💡 Strategic points
The prediction of XRP at $625 is based on a strong assumption—that all settlements are processed by XRP, which may be an exaggeration.
Compared to short-term prices, confirming ‘institutional adoption expansion’ and whether actual settlement use occurs are key investment points.
Ripple’s infrastructure is expanding, but the proportion of direct XRP usage is a critical variable in determining future prices.
📘 Terminology explanation
Ripple Treasury: An enterprise financial platform managing financial institutions’ liquidity and cash flows
NDA: Confidentiality agreement that does not disclose cooperation relationships between enterprises
Actual utility value: The intrinsic value of an asset generated by being used in actual settlements or transactions
💡 Frequently Asked Questions (FAQ)
Q. What is Ripple Treasury? Ripple Treasury is a financial platform supporting financial institutions to manage cash flow and liquidity in real-time. Its feature is that Ripple has enhanced connectivity with the global financial network through acquisition and restructuring of the original enterprise system.
Q. Is the prediction of $625 for XRP realistic? This prediction is based on the hypothetical calculation that all $12.5 trillion in settlements annually are processed by XRP. Since it cannot be guaranteed that XRP will be used for all settlements, it is more appropriate to view it as a reference scenario.
Q. What impact might this announcement have on XRP’s price? As Ripple’s institutional network scale is confirmed, long-term growth expectations are somewhat increased. However, since actual XRP usage and settlement structure are not yet determined, whether adoption expands is a more important variable than short-term price.
TP AI notes:
This summary was generated using a language model based on TokenPost.ai. It may omit key content from the main text or be inconsistent with facts.