Bitcoin Starts the Week Under $90K While Investors Await Key U.S. Data and Global Policy Clarity

bitcoinistPublished on 2025-12-15Last updated on 2025-12-15

Abstract

Bitcoin (BTC) started the week trading below $90,000 as investors remain cautious ahead of key U.S. economic data releases and major central bank policy decisions. After reaching an all-time high of $126,000 in October, BTC has entered a phase of low volatility and tight trading ranges. Analysts suggest this compression may precede a significant price move, with key support near $86,000 and resistance around $94,600. On-chain data indicates mixed signals, with some institutional accumulation amid overall weakening demand. Market participants are closely watching upcoming U.S. jobs, inflation, and retail sales data, as well as policy announcements from the ECB, BoE, and BoJ, for directional cues.

Bitcoin (BTC) began the new trading week on the back foot, slipping below the $90,000 mark as investors adopted a cautious stance ahead of a dense slate of U.S. economic data and key global central bank decisions.

After reaching an all-time high of $126,000 in October, the world’s top cryptocurrency has struggled to regain momentum, instead entering a period marked by tight ranges, low volatility, and subdued trading volumes.

Market movers appear reluctant to commit to new positions as uncertainty builds around the direction of macroeconomic trends. Bitcoin was trading near $89,600 during early Monday sessions, extending weekend losses and reflecting a broader risk-off mood across global markets.

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

Bitcoin Volatility Compresses as Technical Levels Tighten

Bitcoin’s recent price behavior has been defined by historically low volatility, with the asset hovering in a narrow band just below $90,000.

Analysts note that such compression often precedes a sharper move. Technical analyst Aksel Kibar has identified a critical setup on the daily chart, suggesting that a decisive breakout or breakdown could be imminent.

On the downside, failure to hold current levels could open the door to a decline toward the $86,000 area, with deeper support seen between $73,700 and $76,500. On the upside, a sustained break above resistance near $94,600 could shift momentum and put the $100,000 level back into focus.

Other traders have echoed calls for patience, advising investors to wait for a confirmed move outside the current range before taking positions.

On-Chain Signals and Liquidity Raise Caution

Beyond chart patterns, on-chain data has reinforced a more cautious outlook. Analysts at CryptoQuant have highlighted weakening demand and selling pressure near key moving averages, suggesting that recent rebounds have lacked conviction.

Declining liquidity following the Federal Reserve’s recent rate cut has also weighed on Bitcoin and the broader crypto market, according to market makers.

Still, not all signals are uniformly bearish. Data from Glassnode shows that some digital asset treasury firms have quietly resumed Bitcoin accumulation, despite prices struggling to stabilize. This mixed backdrop underscores the market’s current indecision.

Macro Data and Central Banks in Focus

Attention now turns to a busy macroeconomic calendar. Investors are watching delayed U.S. jobs data, inflation reports, retail sales figures, and flash PMI readings for clues on growth and interest rate expectations. Speeches from Federal Reserve officials later in the week could further influence sentiment.

Globally, central bank meetings add another layer of uncertainty. Decisions from the European Central Bank, Bank of England, and especially the Bank of Japan, where a rate hike is widely expected, are being closely monitored for their impact on global liquidity.

With volatility compressed and key catalysts approaching, Bitcoin appears poised at a crossroads as markets await clearer signals on economic and policy direction.

Cover image from ChatGPT, BTCUSD chart from Tradingview

Trending Cryptos

Related Reads

U.S. Bonds, AI, Inflation: You Can't Have All Three – What's Bitcoin Betting On?

Title: U.S. Treasury Bonds, AI, and Inflation: A Trilemma Facing Washington, and Where BTC Fits In Core Thesis: The U.S. government faces a trilemma: stabilizing the Treasury market, sustaining the AI investment cycle, and controlling inflation. The likely political choice is to prioritize the first two, accepting higher inflation for longer. This creates a sustained tailwind for both gold and Bitcoin by injecting liquidity and shifting duration risk away from the private sector. Key Pressures on Treasuries: * Long-term yields (e.g., 10-year ~4.70%) are near multi-decade highs due to persistent inflation risks, high fiscal supply, weaker demand for long duration, and new competition from AI infrastructure financing. * AI investment, requiring massive capital (estimated ~$300B in investment-grade bond issuance), is now competing directly with the Treasury in long-duration debt markets. * Geopolitical tensions (e.g., Iran conflict) add upward pressure on oil prices and defense spending. Policy Response: The Treasury, under Secretary Besant, is focusing on market stability through measures like supporting the Yen (to prevent forced Japanese Treasury sales), increasing repo operations for long-dated bonds, and potentially shifting issuance toward the short end. This "aggressive Treasury issuance" can function like "stealth QE," easing financial conditions. Impact on Assets: * **Gold** has already benefited (up ~90% from Aug 2024 to Aug 2026), driven by declining trust in the USD, inflation fears, and a "monetary debasement" narrative. * **Bitcoin** is now showing stronger correlation with this theme. Recent outperformance vs. gold (BTC +22.2% vs. Gold +5.9% in late Aug) coincided with Treasury's enhanced repo actions, suggesting the market may be pricing it as a liquidity/ debasement hedge, not just a speculative tech asset. Conclusion: If high inflation, large deficits, and AI capital demands persist, the cost of stabilizing bonds and growth will be shorter debt maturity, constant liquidity support, and tolerance for higher inflation—a favorable environment for gold and BTC. This view would be challenged only by a return to ~2% inflation, credible fiscal consolidation, or AI becoming self-funding.

marsbit20m ago

U.S. Bonds, AI, Inflation: You Can't Have All Three – What's Bitcoin Betting On?

marsbit20m ago

HBM is Being Redefined

HBM is being redefined as AI-driven demand for computing power shifts the performance bottleneck from processing units to memory bandwidth, making High Bandwidth Memory the critical component for advanced AI hardware. At HotChips 2026, Samsung and SK Hynix unveiled new technical roadmaps for HBM4, moving away from the traditional approach of simply increasing DRAM speed and stacking layers. The focus for HBM4 has shifted from DRAM optimization to a comprehensive system-level redesign of the Base Die. Key innovations include upgrading the Base Die to advanced logic processes (e.g., Samsung's 4nm), adopting hybrid bonding for 3D stacking, and exploring heterogeneous packaging solutions like Intel's EMIB alongside the established CoWoS. This marks HBM's evolution from a simple memory component into an integrated system involving "memory + logic + packaging + IP + EDA." This transition brings benefits like better signal integrity, higher I/O bandwidth (up to 2048-bit), and potential for in-memory computing. However, it also introduces significant complexity. DRAM manufacturers now must deeply collaborate with logic foundries, extending design cycles and increasing supply chain challenges. Furthermore, the industry is moving towards multiple advanced packaging paths, with EMIB emerging as an alternative to CoWoS to alleviate capacity constraints, while hybrid bonding is being developed for future ultra-high (16+ layer) stacks. New core barriers have emerged beyond manufacturing. High-speed PHY/SERDES IP, crucial for HBM4's higher data rates, is concentrated among a few established players, creating an entry barrier for smaller firms. Similarly, the industry lacks mature 3D heterogeneous EDA toolchains capable of co-simulating the coupled electrical, thermal, and mechanical effects across the logic base, memory stacks, and interposer. These "soft" capabilities in IP and EDA are now critical determinants of HBM4's performance and yield. In summary, the HBM industry is entering a new era of systemic competition. The standardized approach is giving way to divergent vendor roadmaps, with multiple technologies coexisting. Success will depend on integrated architecture, packaging, process, and ecosystem capabilities, fundamentally reshaping the competitive landscape for AI memory.

marsbit25m ago

HBM is Being Redefined

marsbit25m ago

The Era of Earning 200,000 from a 3,000 Investment Is Over; AI Comic Dramas Are Not a Get-Rich-Quick Trend

The era of turning 3,000 yuan into 200,000 yuan is over. AI-generated comic dramas are no longer a low-barrier gold rush. A wave of sudden account suspensions has hit creators in AI comic dramas, AI art, and AI tutorials, primarily triggered by new content and copyright compliance rules implemented by Tomato Novel on August 17. This "last straw" exposed the underlying issues: tightening platform rules, rising copyright requirements, increasing costs, and severe content homogenization. The business model was fundamentally unsustainable for most creators. One creator detailed the math: producing five minutes of content daily cost around 510 yuan in AI computing and editing, while a video with 60,000 views might only earn 45 yuan. While a few early viral hits like "Huo Qubing" and "Zombie Cleaner" achieved high returns with minimal investment, they were exceptions. The reality for most solo creators was barely covering costs or operating at a loss. The new regulations mandate formal authorization from original authors for adaptations, limit video length and the amount of原著 content used, and ban terms like "Episode 1" in titles. This directly dismantled the previous "produce first, authorize later" model. Faced with the inability to afford版权 costs and the threat of penalty, many creators chose to halt updates. While some fans expressed frustration, the rules protect original authors who often faced侵权 with little recourse. The shutdowns signal not the failure of AI technology, but an inevitable industry shift from wild growth to regulated refinement. The previous model prioritized quick cash over quality content, leading to formulaic, "AI-face" saturated dramas that audiences grew tired of. The future belongs to creators who use AI as a tool to serve solid storytelling, not replace it. Some are now seeking formal licenses, a slower but necessary process. Upcoming national regulations further underscore this move towards standardization, weeding out those seeking only fast money and making space for genuine creators.

marsbit25m ago

The Era of Earning 200,000 from a 3,000 Investment Is Over; AI Comic Dramas Are Not a Get-Rich-Quick Trend

marsbit25m ago

Trading

Spot

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