Bitcoin hunts liquidity as US CPI inflation drops to lowest since 2021

cointelegraphPubblicato 2025-12-18Pubblicato ultima volta 2025-12-18

Introduzione

US CPI inflation dropped to 2.7% year-over-year in November, the lowest level since March 2021, significantly below expectations. This led to increased market volatility, with Bitcoin briefly surpassing $89,000 before retracing. The unexpected decline fuels expectations of Federal Reserve interest rate cuts, with markets pricing in a 26.6% probability of a cut in January. Analysts note Bitcoin's price action resembles early 2025 patterns, suggesting potential further downside toward $75,000. Over $630 million in crypto liquidations occurred amid ongoing volatility and perceived market manipulation.

Bitcoin (BTC) ramped up volatility into Thursday’s Wall Street open as markets reacted to surprise US inflation data.

Key points:

  • Bitcoin traders weather more snap BTC price volatility as CPI surprises to the downside.

  • US inflation unexpectedly drops to multiyear lows, fueling bets of interest-rate cuts.

  • Bitcoin price action continues repeating its early 2025 fractal.

Bitcoin stays erratic after “massive” CPI miss

Data from Cointelegraph Markets Pro and TradingView showed BTC/USD passing $89,000 before reversing lower.

BTC/USD one-hour chart. Source: Cointelegraph/TradingView


The move followed the November release of the Consumer Price Index (CPI), which printed one of its largest monthly declines since 2023 — firmly against expectations.

“The all items index rose 2.7 percent for the 12 months ending November, after rising 3.0 percent over the 12 months ending September,” an official statement from the US Bureau of Labor Statistics (BLS) confirmed.

The BLS noted that October’s CPI report was not issued due to the government shutdown.

Reacting, trading resource The Kobeissi Letter led the surprise, suggesting that contrarian inflation signals could continue into next year.

“This puts Core CPI inflation in the US at its lowest level since March 2021,” it wrote in a post on X.

“According to this data, inflation is now at its closest point to the Fed's 2% target since the pandemic. 2026 is going to be a wild year.”
US CPI 12-month % change. Source: BLS


Versus the anticipated 3.1% increase, CPI had come in short by a “massive amount,” crypto trader Daan Crypto Trades continued.

“Risk assets like $BTC are rallying on the back of this, combined with a large fall in the dollar and bond yields,” an X post read.

“The 3 month annualized CPI is now just slightly over 2%. This should be very welcomed by the Fed. More rate cuts are expected to get priced in following this data.”
Fed target rate probabilities for January FOMC meeting (screenshot). Source: CME Group


Data from CME Group’s FedWatch Tool put the odds of a fresh interest-rate cut at the Fed’s Jan. 28 meeting at 26.6%.

New long-term BTC price low next?

As Cointelegraph reported, traders were suspicious of Bitcoin price action through this week and last due to “fakeouts” in either direction during US trading sessions.

Related: Bears take over below $90K? 5 things to know in Bitcoin this week

Accusations of market “manipulation” came as BTC/USD hit walls of liquidity both above and below while failing to sustain a new trend.

Total crypto liquidations for the 24 hours to the time of writing were over $630 million, per CoinGlass.

Crypto total liquidations (screenshot). Source: CoinGlass


With the snap moves continuing on the day, crypto trader and entrepreneur Ted Pillows eyed similarities to the start of the year.

“$BTC is mimicking the Q1 2025 fractal. What if this plays out?” he queried alongside a chart of Bitcoin futures.

The chart implied another macro bottom for BTC/USD still to come, similar to that seen in early April when the pair briefly dipped below $75,000.

Bitcoin futures chart fractal. Source: Ted Pillows/X

This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision. While we strive to provide accurate and timely information, Cointelegraph does not guarantee the accuracy, completeness, or reliability of any information in this article. This article may contain forward-looking statements that are subject to risks and uncertainties. Cointelegraph will not be liable for any loss or damage arising from your reliance on this information.

Crypto di tendenza

Domande pertinenti

QWhat was the key economic data released that caused Bitcoin's price volatility?

AThe US Consumer Price Index (CPI) for November, which showed inflation dropping to 2.7% year-over-year, the lowest since March 2021 and a significant miss against expectations.

QHow did the unexpected CPI data impact market expectations for Federal Reserve interest rates?

AThe data fueled bets on interest-rate cuts, with the CME Group's FedWatch Tool indicating a 26.6% probability of a rate cut at the Fed's January 28 meeting.

QAccording to the article, what pattern is Bitcoin's price action repeating?

ABitcoin's price action is repeating its early 2025 fractal, which some traders believe could imply another macro price bottom is still to come.

QWhat was the total value of crypto liquidations in the 24 hours surrounding the CPI news?

ATotal crypto liquidations for the 24 hours to the time of writing were over $630 million.

QWhy was the October CPI report not issued, as noted in the article?

AThe October CPI report was not issued due to the US government shutdown.

Letture associate

BIS Report Compliance Observations: The True Risks of Stablecoins Go Beyond 'De-pegging'

The BIS report, "Anchoring trust in money: innovation beyond stablecoins," highlights that the primary risks of stablecoins extend beyond potential de-pegging. It argues that the core challenge is whether stablecoins can be integrated into a financial system that is identifiable, monitorable, accountable, and regulatable. While acknowledging efficiency gains like faster payments and programmability, BIS emphasizes that money requires an institutional framework—including legal certainty, liquidity support, and financial integrity controls—which many stablecoins currently lack. The report details compliance risks, noting that while blockchain transactions are transparent, address visibility does not equate to identity or purpose clarity. This creates a systemic risk as pseudonymity, non-custodial wallets, and cross-chain bridges can undermine AML/CFT controls. Furthermore, these risks can spill over into the traditional financial system through on- and off-ramps. The future direction, per BIS, is not to prohibit innovation but to embed regulatory rules—such as identity verification and transaction screening—directly into the technological infrastructure of tokenized finance. The key takeaway for compliance is that any new financial instrument must clearly address questions of customer identification, transaction monitoring, accountability, and cross-border rule consistency to be viable as a mainstream payment tool.

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BIS Report Compliance Observations: The True Risks of Stablecoins Go Beyond 'De-pegging'

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When US Giants Collectively "Defect" to Chinese AI Models

When Silicon Valley Giants Turn to Chinese AI Models to Cut Costs A surprising trend is emerging: major U.S. tech companies are significantly reducing AI costs by switching to Chinese models. Coinbase, the largest U.S. cryptocurrency exchange, reportedly halved its AI spending after migrating to China's GLM-5.2 and Kimi 2.7 models, despite increasing usage. They achieved this through a sophisticated three-part strategy: implementing an automatic routing system to select the most cost-effective model per task, boosting cache hit rates from 5% to 60% to reuse computations, and employing "context engineering" to provide AI with more precise, less cluttered information. They are not alone. AI startup Lindy switched from Claude to DeepSeek, saving millions, while Snowflake's tests found GLM-5.2 solved 66% of coding tasks compared to Claude Opus's 67%—but at a fraction of the cost (output pricing is 5-7 times lower). While the top Western models may offer slightly better stability, the massive price differential is leading many businesses to reconsider their value proposition. This shift signals a deeper change in the AI industry, moving beyond pure performance benchmarks to a fierce cost competition. As pressure mounts, even OpenAI and Anthropic have begun slashing prices. For users, this means more choices, lower costs, and a crucial lesson: using multiple models based on task complexity, optimizing with caching, and keeping contexts lean are now key to leveraging AI efficiently and affordably.

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When US Giants Collectively "Defect" to Chinese AI Models

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