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Bitcoin Drops To 2 Cents! Revolut Users Report Massive BTC Price Glitch

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

Third-Party Provider Blamed For Pricing Chaos

Revolut acknowledged the problem 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 the disruption had been resolved, attributing it to a service failure at an unnamed external pricing provider.

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

 

The glitch wasn’t limited to 비트코인. Users reported seeing simultaneous price drops across XRP, Solana, and even stablecoins like USDT and USDC — assets designed to hold steady at one dollar.

Screenshots shared on X and Reddit showed Bitcoin’s 24-hour chart registering a roughly 50% intraday plunge, with the price briefly anchoring near $39,900 before snapping back.

Some users also received push notifications warning that BTC had hit a 52-week low of 2 cents.

No Matching Moves On Any Other Platform

Pricing data on major aggregators showed nothing unusual during the same window. Bitcoin’s price on CoinMarketCap and CoinGecko held steady, with no sign of any crash in derivatives markets either. The anomaly appeared entirely contained within Revolut’s app.

Ranveer Arora, a former PwC quantitative trading lead and co-founder of Altura.trade, told reporters two explanations are in play.

The first is a corrupt data tick pushed through Revolut’s pricing system — a single bad data point that briefly anchored the chart before being corrected.

Because Revolut is not an exchange and pulls prices from outside providers, one faulty input can be enough to produce exactly this kind of chart distortion.

The second possibility is a transient 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 bids and print a sharp downward wick before prices recover.

Arora noted, however, that the lack of matching prints on any other platform makes the data feed explanation more likely.

Why Retail Apps Face Unique Data Risks

Marc Tillement, director of blockchain price oracle Pyth Data Association, said the episode shows how quickly a single bad data point can distort price perception — particularly in retail-facing systems where users may not think to cross-check what they’re seeing.

Tillement said that as markets grow more data-dependent, the reliability of pricing infrastructure becomes central to how much traders can trust what’s in front of them.

Transparent, verifiable data layers, he argued, are what separate a glitch from a crisis.

Featured image from Pixabay, chart from TradingView

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