Bitcoin drops to 2 cents! Revolut users reported massive disruption in BTC prices


A third-party provider failure caused the Revolut app to display wildly inaccurate cryptocurrency prices on Friday, the company confirmed, after users flooded social media with screenshots of bitcoin listed at just 2 cents.

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Blame the third-party provider for the pricing chaos

Revolut acknowledged the issue in a public statement, saying engineers were working on a fix and urging customers to check its status page for updates.

A company spokesperson later confirmed that the glitch had been resolved, attributing it to a service failure at an unnamed third-party pricing provider.

The company said it is still evaluating the full details of what went wrong.

The defect was not limited to Bitcoin. Users have reported seeing simultaneous price declines across XRP, Solana, and even stablecoins like USDT and USDC — assets designed to remain fixed at $1.

Screenshots shared on

Some users also received push notifications warning that BTC has reached 52 weeks Low from 2 cents.

There are no matching moves on any other platform

Pricing data for major data aggregators did not show anything unusual during the same period. Bitcoin price on CoinMarketCap and Queen Gekko It remained stable, with no sign of any collapse in the derivatives markets as well. The anomaly appears to exist entirely within the Revolut app.

There are two explanations, Ranvir Arora, former director of quantitative trading at PricewaterhouseCoopers and co-founder of Altura.trade, told reporters.

The first is a bad data flag pushed through Revolut’s pricing system — a single bad data point that stabilized the chart briefly before it was corrected.

Bitcoin is now trading at $80,625. table: TradingView

Since Revolut is not an exchange and pulls prices from external providers, one wrong input could be enough to produce exactly this kind of chart distortion.

The second possibility is the presence of a temporary liquidity gap. Revolut’s order book is shallower than what you’d find on a full exchange, so a large sell order could theoretically exhaust available quotes and print a sharp bearish fuse before prices recover.

However, Arora pointed out that the lack of identical prints on any other platform makes a data-feeding interpretation more likely.

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Why do retail applications face unique data risks?

This episode shows how quickly one bad data point can distort price perception — especially in retail-facing systems where users may not think to verify what they see, said Marc Thielement, the Pyth Data Association’s director of blockchain pricing.

As markets become more data-driven, the reliability of pricing infrastructure becomes key to how confident traders are in what’s in front of them, Thielement said.

He said layers of transparent and verifiable data are what separates a disruption from a crisis.

Featured image from Pixabay, chart from TradingView





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