All about Revolut moving $1.2B on Polygon and if that makes it faster than SWIFT

ambcrypto2026-03-28 tarihinde yayınlandı2026-03-28 tarihinde güncellendi

Özet

Digital banking giant Revolut has processed over $1.2 billion in stablecoin transfers on the Polygon network, demonstrating blockchain's growing role in mainstream finance. These transactions settled in seconds with total fees under $700, showcasing significant cost and efficiency advantages over traditional systems like SWIFT, which can take days and involve high intermediary fees. Polygon's low transaction costs—up to 426x cheaper than Ethereum—make it an attractive infrastructure for institutional payments. This milestone signals a structural shift toward blockchain-based settlements, with stablecoins enabling near-instant, low-cost, and transparent cross-border transactions.

Across the Internet and socials, there has been a heated debate between traditional finance and blockchain. However, as it stands, most investors and institutions are now accepting blockchain as an equal competitor.

Just recently, digital banking giant Revolut crossed a major milestone, processing over $1.2 billion in stablecoin transfers on the Polygon network. The figure reflects real user activity, not test flows, while highlighting how blockchain rails are quietly entering mainstream finance.

In fact, according to Polygon’s official report, these transactions settled in seconds and cost fractions of a cent, making them significantly cheaper than legacy systems.

Why are institutions choosing Polygon?

The economics behind this shift are hard to ignore. Revolut reportedly processed the entire $1.2 billion volume for less than $700 in total fees, demonstrating the scale advantage of blockchain-based settlements.

Polygon consistently offers the lowest transaction costs among major chains – Up to 426x cheaper than Ethereum and 4x cheaper than Solana in many cases.

For institutions moving large capital, this difference compounds quickly. What would cost millions in traditional infrastructure can now be executed almost instantly at near-zero cost.

Traditional cross-border transfers still lag behind

Despite decades of innovation, traditional cross-border systems remain slow and expensive. Payments routed through correspondent banking networks like SWIFT can take 1–5 business days and involve multiple intermediaries.

Fees are another major drawback. Global remittance costs average around 6.49%, with banks often charging over 14% in some corridors.

On the contrary, Polygon-based transfers eliminate intermediaries, settle in seconds, and offer 1:1 stablecoin conversions with no hidden FX spreads.

A structural shift, not a trend

Revolut’s $1.2 billion milestone is more than a headline. In fact, it’s a proof point. Institutions are no longer experimenting with blockchain; they’re deploying it at scale.

As stablecoin infrastructure matures, networks like Polygon are positioning themselves as the back end for global money movement – Faster, cheaper and increasingly invisible to the end user.

Polygon’s network token is benefiting from network adoption

On the daily chart, POL seemed to be gaining some traction at press time. This, despite the fact that the token’s prices have been consolidating over the last few weeks.

If the network keeps recording these significant gains, the altcoin’s prices could usher in a potential breakout as long as the demand zone at around $0.095 holds.

Source: TradingView

Final Summary

  • Blockchain rails like Polygon are proving significantly cheaper and faster than traditional cross-border systems at institutional scale.
  • Revolut’s $1.2B volume signals a structural shift towards stablecoin-powered global payments, rather than a temporary trend.

İlgili Sorular

QWhat major milestone did Revolut achieve on the Polygon network?

ARevolut processed over $1.2 billion in stablecoin transfers on the Polygon network, reflecting real user activity.

QHow do transaction costs on Polygon compare to traditional systems like SWIFT?

APolygon transactions cost fractions of a cent, significantly cheaper than traditional systems. For example, Revolut processed $1.2 billion for less than $700 in total fees, while traditional cross-border transfers average around 6.49% in fees.

QWhat are the advantages of using Polygon for cross-border transfers compared to traditional banking networks?

APolygon-based transfers settle in seconds, eliminate intermediaries, offer 1:1 stablecoin conversions with no hidden FX spreads, and are much cheaper than traditional systems like SWIFT, which can take 1-5 business days and involve multiple intermediaries.

QWhat does Revolut's $1.2 billion volume on Polygon indicate about institutional adoption of blockchain?

AIt signals a structural shift towards stablecoin-powered global payments, showing that institutions are no longer just experimenting with blockchain but are deploying it at scale for faster and cheaper transactions.

QHow has Polygon's network token (POL) been performing according to the article?

AAt the time of writing, POL was gaining some traction despite consolidating over the previous weeks. If network adoption continues, the token's price could potentially break out as long as the demand zone around $0.095 holds.

İlgili Okumalar

Wang Chuan: After Investing in Storage Stocks and Seeing a Thirty-Fold Return, How to Remain Unanxious (Part 7) - A Quarter-Century Cycle

Wang Chuan: Reflections on Investment Anxiety and Market Cycles After Observing a 30x Gain in a Storage Stock (Part 7) – A Quarter-Century Cycle This article examines the cyclical nature and inherent risks in technology hardware investments, using the storage and semiconductor sectors as examples. It criticizes the misleading practice of "annualized" Net Dollar Retention (NDR) rates, where short-term growth is extrapolated unrealistically. A key concept explored is "reflexivity" – demand driven by panic, exploration, and liquidity during market booms, which can vanish just as quickly when conditions reverse. This reflexivity exists both in product demand and among speculative stock buyers, creating powerful feedback loops that inflate prices during upturns and exacerbate crashes during downturns. The author highlights a major risk for hardware sectors: unlike assets with defined cycles (e.g., Bitcoin's halving), there's no guarantee of a swift recovery post-crash. Companies like Micron, Intel, and Cisco took roughly a quarter-century to surpass their 2000 highs, enduring drawdowns exceeding 80%. This is attributed to the "bullwhip effect" in supply chains, where demand collapses instantly but过剩产能 persists, and a migration of narrative-driven capital. High-valuation stories吸引 speculative funds during growth phases, but these funds quickly depart for the next hot narrative once growth slows, leaving behind stronger companies with much lower valuations. The piece warns of dangerous mental models formed during bull markets: 1) equating current strong demand with perpetual high growth, and 2) believing that making fast, large profits is easy. Citing巴菲特, the author notes that easy money undermines rationality, likening speculators to Cinderella at a ball with a clock that has no hands. The current phase presents an asymmetric risk-reward scenario: potential for further gains exists, but the downside risk is an 80%+ drawdown and a multi-decade wait for breakeven, which reflexive speculators cannot tolerate. The hypothetical investor "老王" (Lao Wang), who achieved a 30x return, is used to illustrate potential pitfalls. Leverage could lead to a wipeout during a sharp correction. Even without leverage, ingrained beliefs in easy money would likely lead him to double down after losses, expecting a quick rebound. Instead, he might face a protracted decline, depleting his resources through frantic trading as the high-growth narrative fades. The conclusion references Schopenhauer, comparing those who have seen multiple market cycles to an audience seeing the same magic trick repeatedly—once the illusion is understood, its power is gone.

marsbit18 dk önce

Wang Chuan: After Investing in Storage Stocks and Seeing a Thirty-Fold Return, How to Remain Unanxious (Part 7) - A Quarter-Century Cycle

marsbit18 dk önce

US Stocks Too Expensive? This Top CIO Scoured the Globe and Found 5 Stocks More Attractive Than NVIDIA

Summary: Main Street Research CIO James Demmert maintains his bullish 8,100 target for the S&P 500 but argues that greater opportunities now lie overseas. He identifies five international stocks with superior valuations poised to benefit from the AI revolution, suggesting international markets will outperform the US for years. Key Recommendations: 1. **ASML (Netherlands):** A foundational chip manufacturing technology provider, offering crucial AI exposure and geographic diversification. Demmert's top long-term pick. 2. **HSBC (UK/Asia):** A global bank with a 9x P/E ratio, better growth prospects than US peers like JPMorgan, and strong Asian presence. 3. **Siemens Energy (Germany):** A direct play on global power grid expansion driven by AI, crypto, and EV electricity demand. 4. **BHP Group (Australia):** A "hidden AI play" and "second derivative" of the trend due to massive copper demand for data centers. Trades at a 16x P/E. 5. **AstraZeneca (UK):** An undervalued healthcare stock with a strong pipeline (18x P/E, >20% growth), expected to benefit from AI's impact on medicine. Core Thesis: International outperformance is driven by both attractive valuations and a major policy shift. While the US tightens fiscal policy, Europe and Japan are launching unprecedented stimulus, reigniting growth. Demmert recommends allocating 45% of a portfolio internationally, citing excessive US investor conservatism as a key mistake.

marsbit23 dk önce

US Stocks Too Expensive? This Top CIO Scoured the Globe and Found 5 Stocks More Attractive Than NVIDIA

marsbit23 dk önce

a16z Partner: Three Paths for Crypto Projects to Find PMF

Author: Jason Rosenthal. Compiler: Shenchao TechFlow. Finding Product-Market Fit (PMF) is the most critical variable for a company's survival. In the crypto space, misaligned growth hacking and airdrops often mask the absence of true PMF. However, leading teams are now finding PMF faster. Here are three proven paths for crypto projects to achieve PMF: 1. **Co-build with Anchor Clients:** Partner with the most sophisticated potential clients in your field and develop the product based on their specific needs. Their adoption serves as the strongest validation, more valuable than media coverage or TVL metrics. This approach is shaping current product roadmaps, as seen in collaborations between crypto startups and traditional finance. 2. **Position Ahead of an Exponential Curve:** Identify and position yourself ahead of a major emerging trend before the market fully realizes it. The most evident current curve is the rise of AI Agents as autonomous economic actors. Projects like AgentCash by Merit Systems, which enables AI Agents to pay for API access with crypto, are building foundational payment rails for the impending Agent economy. 3. **Be Your Own First and Best Customer:** The most enduring infrastructure companies don't wait for external validation. They first build and prove their technology by using it to power their own applications at scale before offering it to others. Matter Labs exemplifies this by anchoring its ZKsync technology in a concrete application, Cari Network, which enables U.S. regional banks to conduct real-time, on-chain interbank transfers of tokenized deposits. The underlying logic is consistent: the fastest path to PMF involves choosing the right battlefield and executing with conviction—by co-building with clients whose validation compounds, positioning ahead of the curve before consensus forms, or becoming your own best case study.

marsbit24 dk önce

a16z Partner: Three Paths for Crypto Projects to Find PMF

marsbit24 dk önce

Wang Chuan: How to Avoid Anxiety When the Neighbor, Lao Wang, Made Thirty Times His Investment in Storage Stocks (7) - A Quarter-Century Cycle

Wang Chuan: Reflections on a Quarter-Century Cycle – How to Stay Calm After a 30x Gain on Storage Stocks (Part 7) This article continues the discussion on investment pitfalls. It highlights the deceptive use of metrics like the "Annualized Net Dollar Retention Rate" by some companies to inflate growth projections. The core analysis focuses on the "reflexivity" present in both product demand and financial markets during boom periods. In a bubble, speculative and fear-driven demand in the real economy interacts with speculative, leveraged buying in financial markets, creating a powerful upward feedback loop. This dynamic reverses sharply when faced with physical or liquidity constraints, leading to a cascading downturn. The hardware and semiconductor sectors face unique risks. Unlike assets with defined cycles, there's no guarantee of a swift recovery post-crash. Historical examples like Micron, Intel, and Cisco show it can take decades to surpass previous peaks after severe drawdowns (80-95%). This is due to the "bullwhip effect" in supply chains—demand vanishes quickly while过剩产能 persists—and the migration of speculative capital and growth narratives to new sectors once momentum slows. Companies may have stronger fundamentals years later, but the speculative "soul" of extreme valuations is long gone. The author warns of psychological traps for new investors: mistaking temporary, intense demand for permanent growth, and believing that making quick, large profits is easy. Citing Buffett, the piece cautions that easy money erodes rationality. The current phase presents an asymmetric risk-reward scenario: potential for further gains versus the risk of an 80%+ drawdown and a multi-decade recovery wait—an outcome reflexive speculators cannot endure. The hypothetical "Lao Wang" who made 30x may be wiped out by leverage or, driven by the "get-rich-quick" mindset, may repeatedly try to recover losses until exhausted, failing to recognize that the high-growth narrative has ended. The piece concludes with Schopenhauer's analogy: those who've seen multiple cycles are like an audience watching the same magic trick repeatedly—the illusion no longer works.

链捕手33 dk önce

Wang Chuan: How to Avoid Anxiety When the Neighbor, Lao Wang, Made Thirty Times His Investment in Storage Stocks (7) - A Quarter-Century Cycle

链捕手33 dk önce

İşlemler

Spot
Futures
活动图片