Markets React Sharply as Fed’s Rate Cut Triggers Unexpected Sell-Off Across Major Crypto Assets

bitcoinistPublished on 2025-12-11Last updated on 2025-12-11

Abstract

Markets reacted sharply to the Fed’s widely anticipated 25-basis-point rate cut, which triggered a significant crypto sell-off. Despite the cut, the Fed’s cautious tone and internal disagreements created uncertainty, with Chair Powell suggesting a potential pause in January. Projections indicated fewer future cuts than markets expected. Crypto reversed gains quickly, with total market cap falling 3% in 24 hours. Bitcoin dropped below $90,000, Ethereum fell over 3%, and altcoins saw deeper losses. Over $1 billion in leveraged positions were liquidated, and technical indicators turned bearish. Traders now await the PCE inflation report for further direction, as the market faces tighter liquidity and heightened macro sensitivity.

The Federal Reserve’s latest policy move was expected to calm financial markets. Instead, it set off one of the sharpest intraday reversals the crypto sector has seen this quarter.

After delivering a widely anticipated 25-basis-point rate cut, the Fed signaled a slower path ahead, and that shift in tone was enough to send major digital assets back. What looked like a supportive macro backdrop quickly turned into a trigger for risk-off positioning across Bitcoin, Ethereum, and the broader altcoin market.

BTC's price trends to the downside on the daily chart. Source: BTCUSD on Tradingview

Mixed Fed Messaging Fuels Market Confusion

The Federal Open Market Committee lowered the federal funds rate to a 3.5%–3.75% range, marking its third cut of the year. But internal disagreement, including two members opposing any cut and one pushing for a larger one, highlighted uncertainty within the Fed itself.

Chair Jerome Powell supported that ambiguity by saying the central bank remains “well-positioned to wait,” a phrase traders interpreted as a possible pause in January.

Economic projections added more caution. Officials expect only one additional cut in 2026, far fewer than markets had priced in. While the Fed also announced $40 billion in monthly Treasury bill purchases, seen by some as “QE-lite”, investors viewed the move more as an attempt to steady liquidity in a slowing economy.

The dollar weakened sharply after Powell ruled out a 2026 rate hike, but expectations for near-term easing also faded. Futures markets quickly shifted, showing a higher probability of no change in January.

Crypto Markets Reverse as Liquidity Concerns Rise

The crypto market reacted within minutes of the Fed’s press conference. Total market capitalization fell roughly 3% over the next 24 hours, with Bitcoin sliding below $90,000 after briefly testing highs near $94,000 earlier in the week.

Ethereum lost more than 3%, and altcoins posted deeper declines as investors moved toward lower-risk exposure.

Rising liquidations added pressure. More than $1 billion in leveraged positions were wiped out in the broader market over a 24-hour period, while Bitcoin dominance climbed to around 58%, reflecting a shift away from speculative assets.

Technical signals also turned bearish, with total crypto market cap slipping below the 200-day EMA and several major tokens failing to reclaim key resistance levels.

What Comes Next as Traders Await Fresh Data

Attention now turns to the upcoming PCE inflation report, the Fed’s preferred gauge. A stronger-than-expected reading could delay further easing and intensify volatility across risk assets. For crypto traders, key levels include Bitcoin’s support zone near $89,000 and ETF flow trends, which continue to influence market stability.

The latest Fed decision currently has left markets searching for clearer direction. Until that emerges, crypto appears set to navigate a period of tighter liquidity, cautious sentiment, and elevated sensitivity to macroeconomic signals.

Cover image from ChatGPT, BTCUSD chart from Tradingview

Related Reads

Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

OpenAI has announced a major internal reorganization just months before its anticipated IPO. The company is merging its three flagship product lines—ChatGPT, Codex, and the API platform—into a single, unified product organization. The most significant leadership change involves co-founder and President Greg Brockman moving from a background technical role to take full, permanent control over all product strategy. This follows the indefinite medical leave of AGI Deployment CEO Fidji Simo. Additionally, ChatGPT's longtime lead, Nick Turley, has been reassigned to enterprise products, with former Instagram executive Ashley Alexander taking over consumer offerings. The consolidation, internally framed as a strategic move towards an "Agentic Future," aims to break down internal silos and create a cohesive "Super App." This planned desktop application would integrate ChatGPT's conversational abilities, Codex's coding power, and a rumored internal web browser named "Atlas" to autonomously perform complex user tasks. The reorganization occurs amid significant internal and external pressures. OpenAI has recently seen a wave of high-profile departures, including Sora co-lead Bill Peebles and other senior technical leaders, leading to concerns about a thinning executive bench. Externally, rival Anthropic recently secured funding at a staggering $900 billion valuation, surpassing OpenAI's own. Google's upcoming I/O developer conference also poses a competitive threat. Analysts suggest the dramatic restructure is a pre-IPO move to present a clearer, more focused narrative to Wall Street—streamlining operations and demonstrating decisive leadership under Brockman to counter internal turbulence and intense market competition.

marsbit2h ago

Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

marsbit2h ago

Two Survival Structures of Market Makers and Arbitrageurs

Market makers and arbitrageurs represent two distinct survival structures in high-frequency trading. Market makers primarily use limit orders (makers) to profit from the bid-ask spread, enjoying high capital efficiency (nominally 100%) but bearing inventory risk. This "inventory risk" arises from passive, fragmented, and discontinuous order fills in the limit order book (LOB). This risk, while a potential cost, can also contribute to excess profit if managed within control boundaries, allowing for mean reversion. Market makers essentially sell "time" (uncertainty over execution timing) to the market for price control and low fees. In contrast, cross-exchange arbitrageurs typically use market orders (takers) to exploit price differences or funding rates, resulting in lower nominal capital efficiency (requiring capital on both exchanges) and higher transaction costs. Their risk exposure stems from asymmetries in exchange rules (e.g., minimum order sizes), execution latency, and infrastructure risks (e.g., ADL, oracle drift). These exposures are active, exogenous gaps that primarily erode profits rather than contribute to them. Arbitrageurs essentially sell "space" (capital sunk across venues) for localized, immediate certainty. Both strategies engage in a trade-off between execution friction and residual risk. Optimal systems allow for temporary, controlled risk exposure rather than enforcing zero exposure at all costs. Their evolution converges towards hybrid models: arbitrageurs may use maker orders to reduce costs, while market makers may use taker orders or hedges for risk management. Ultimately, both use different forms of risk exposure—market makers exposing inventory, arbitrageurs immobilizing capital—to extract marginal, hard-won certainty from the market.

链捕手2h ago

Two Survival Structures of Market Makers and Arbitrageurs

链捕手2h ago

Who Will Define the Rules of the AI Era? Anthropic Discusses the 2028 US-China AI Landscape

This article, based on Anthropic's analysis, outlines the intensifying systemic competition between the U.S./allies and China for AI leadership by 2028. It argues that access to advanced computing power ("compute") is the critical bottleneck, where the U.S. currently holds a significant advantage through chip export controls and allied innovation. However, China's AI labs remain competitive by exploiting policy loopholes—via chip smuggling, overseas data center access, and "model distillation" attacks to copy U.S. model capabilities—keeping them close to the frontier. The piece presents two contrasting scenarios for 2028. In the first, decisive U.S. action to tighten compute controls and curb distillation locks in a 12-24 month AI capability lead, cementing democratic influence over global AI norms, security, and economic infrastructure. In the second, policy inaction allows China to achieve near-parity through continued access to U.S. technology, enabling Beijing to promote its AI stack globally and integrate advanced AI into its military and governance systems, altering the strategic balance. Anthropic contends that maintaining a decisive U.S. lead is essential for shaping safe AI development and governance. The core recommendation is for U.S. policymakers to urgently close compute and model access loopholes while promoting global adoption of the U.S. AI technology stack to secure a lasting strategic advantage.

marsbit4h ago

Who Will Define the Rules of the AI Era? Anthropic Discusses the 2028 US-China AI Landscape

marsbit4h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片