BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

marsbitОпубліковано о 2026-06-20Востаннє оновлено о 2026-06-20

Анотація

The crypto market is currently in an adjustment phase driven by policy expectations and liquidity shifts. Despite a brief rebound fueled by geopolitical easing and SpaceX's strong IPO performance, unexpectedly hawkish signals from new Fed Chair Kevin Warsh have removed anticipated easing support. Concurrently, stablecoin liquidity is shrinking, with insufficient new capital inflows, pushing the market into a typically quiet summer period. Pricing lacks catalysts for a sustained rally. Daily trading volume has significantly contracted, stablecoin growth has slowed markedly, and the supportive effect of Strategy's (formerly MicroStrategy) STRC preferred stock-financed Bitcoin purchases is fading. Amid policy uncertainty, seasonal weakness, and liquidity contraction, Bitcoin faces near-term downward pressure. Warsh's hawkish pivot and refusal to provide a clear policy outlook have increased risk premiums, historically unfavorable for Bitcoin. Technically, the trend remains bearish below $73,700, with $62,446 as critical support. A break below could accelerate declines, though a prolonged consolidation phase, similar to 2022's bottoming process, is possible. Liquidity is a core constraint. Current daily volume is around $500 billion, roughly 25% of the peak during the July-Oct 2025 rally. The 12-month growth rates for USDT and USDC have fallen to ~20%, with 6-month growth near zero, indicating weak new inflows. Bitcoin ETF and Strategy-driven inflows have also weakened, with a...

The current market is in an adjustment stage jointly led by policy expectations and changes in liquidity. Geopolitical de-escalation and the better-than-expected performance of the SpaceX IPO once pushed Bitcoin to rebound from technically oversold levels. However, the new Federal Reserve Chair, Kevin Warsh, unexpectedly delivered hawkish signals, depriving the market of the anticipated accommodative policy support. Meanwhile, stablecoin liquidity continues to contract, with a noticeable lack of new capital inflows, pushing the market back into a typically subdued trading phase characteristic of summer.

From a pricing perspective, the market still lacks sufficient macro catalysts to drive a new round of upward momentum. Daily trading volume has significantly shrunk compared to the peak in 2025, stablecoin growth rates continue to slow, and the supportive effect from Strategy (formerly MicroStrategy) buying Bitcoin through STRC preferred share financing is gradually waning. Under the combined influence of policy uncertainty, seasonal weakness, and liquidity contraction, Bitcoin's short-term trend remains under pressure.

Hawkish Expectations Rise: Policy Uncertainty Suppresses Market Risk Appetite

The market previously widely expected the new Fed Chair, Kevin Warsh, to signal a dovish stance, but the FOMC unexpectedly turned hawkish. Several members hinted at the possibility of further rate hikes this year if inflation pressures persist, and Warsh explicitly expressed his determination to rebuild policy credibility.

Trend models indicate that as long as Bitcoin remains below $73,700, the overall trend remains bearish, with key resistance levels gradually declining over time. Concurrently, Warsh's refusal to disclose his personal rate dot plot predictions has left the market without a clear policy anchor, leading to a rise in risk premiums. Historical experience shows that such uncertainty is generally unfavorable for sustained Bitcoin rebounds.

Technically, $62,446 remains a crucial support level. A break below this level could accelerate the downtrend. However, similar to the bottoming process in 2022, the market might also experience a prolonged period of consolidation, gradually forming a cycle low.

Liquidity Continues to Contract: Lack of New Capital Limits Rebound Potential

Beyond macro factors, insufficient liquidity is becoming a core constraint for the current market. Daily trading volume has sometimes shrunk to around $50 billion, while the average daily volume during the uptrend from July to October 2025 was approximately $200 billion, representing only about 25% of the previous peak.

Stablecoin growth has also noticeably slowed. The 12-month rolling growth rates for USDT and USDC peaked at 52% and 122% respectively in late 2025. Currently, their year-on-year growth rates have fallen back to around 20%, with the 6-month growth rate approaching zero, reflecting a significant weakening of new liquidity.

Meanwhile, capital inflows from Bitcoin ETFs and Strategy have also weakened considerably compared to before. Previously, Strategy's aggressive issuance of STRC preferred shares once drove Bitcoin up by approximately $15,000, a gain close to 20%, but this supportive effect is fading. Currently, the market's 30-day rolling capital flow remains in a net outflow state. In the absence of new, strong catalysts, a sustained uptrend remains difficult to form.

Overall, with inflation at 4.2% far exceeding the Fed's 2.0% target, and under the combined influence of the hawkish stance, typical summer seasonal weakness, and liquidity scarcity, Bitcoin currently lacks sufficient support to sustain a stable position above $60,000 in the short term. However, as the market gradually completes its clearing process, this round of adjustment could still establish a cycle low this summer. Prices may not immediately launch a new bull run, but this process may be laying the groundwork for the next bull market cycle.

Some of the above viewpoints are from BIT on Target. Contact us to obtain the full BIT on Target report.

Disclaimer: The market carries risks, and investment requires caution. This article does not constitute investment advice. Digital asset trading can be highly risky and volatile. Investment decisions should be made after carefully considering personal circumstances and consulting with financial professionals. BIT is not responsible for any investment decisions based on the information provided herein.

Пов'язані питання

QAccording to the article, what are the main factors suppressing Bitcoin's short-term price action?

AThe article states that Bitcoin's short-term price action is suppressed by three main factors: 1) Hawkish signals from the new Fed Chair Kevin Warsh, creating policy uncertainty. 2) Continuously contracting liquidity, including low daily trading volume and slowing stablecoin growth. 3) Typical seasonal weakness during the summer.

QWhat specific technical price levels does the article mention for Bitcoin's trend and support?

AThe article mentions that as long as Bitcoin remains below $73,700, the overall trend is considered bearish. A key support level is identified at $62,446. A break below this support could accelerate the downtrend.

QHow has the funding flow from Bitcoin ETFs and Strategy (MicroStrategy) changed recently, as described in the article?

AThe article indicates that the capital inflow from Bitcoin ETFs and Strategy has weakened noticeably compared to earlier periods. Specifically, the supportive effect from Strategy's aggressive issuance of STRC preferred shares to buy Bitcoin, which previously contributed to a significant price rise, is now diminishing.

QWhat comparison does the article draw between the current market environment and a past Bitcoin cycle?

AThe article suggests that the current market may experience a prolonged period of consolidation and bottom-building, similar to the accumulation process seen in 2022.

QWhat is the article's overall outlook for Bitcoin in the coming summer period?

AThe article's outlook is cautious in the short term, stating that a sustained move above $60,000 lacks sufficient support. However, it posits that the ongoing adjustment could potentially build a cyclical low point during the summer, preparing the ground for a new bull cycle, even if a rapid price surge doesn't begin immediately.

Пов'язані матеріали

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit45 хв тому

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit45 хв тому

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit56 хв тому

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit56 хв тому

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds. When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users. The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound. Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.

marsbit1 год тому

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbit1 год тому

Weekly Editor's Picks (0613-0619)

Weekly Editor's Picks (0613-0619): Market Insights & Analysis This weekly digest curates in-depth analysis often lost in the information flow, focusing on key insights across macro trends, investment, and technology. **Macro & Geopolitics:** With the Strait of Hormuz reopening and military conflict shifting to negotiation, markets are pivoting from "war shock" to "supply restoration." Trades include shorting crude risk premiums, longing airlines/tourism, Asian energy importers, and bond duration, while shorting inflation expectations. LNG, fertilizer, and chemical chains are also being repriced. **Investment & VC:** Ray Dalio advises against betting on concentrated AI giants dominating indices, advocating for diversified portfolios of high-quality, low-correlation assets instead. Analysis covers the 4-year crypto cycle, predicting the core surviving product by 2029 will be asset trading markets. Current BTC metrics suggest a potential bottoming zone, presenting a patient accumulation window. SpaceX's high-profile IPO at a $2.1T valuation faces scrutiny over fundamentals, with key watchpoints being its likely inclusion in the Nasdaq index and Q2 earnings. Concerns are raised about potential "gamma squeeze" and systemic risks if its narrative-driven valuation gets amplified by passive index funds. Robinhood (HOOD) is noted for breaking its high correlation with crypto, bolstered by its stock trading and new underwriting business. **Web3 & AI:** A warning highlights ~$1.8T in off-balance-sheet AI infrastructure commitments (purchase commitments, leases) as a potential systemic risk if AI monetization lags. AI models are being used for World Cup predictions, adding a new layer for betting markets. A cost breakdown of a $20 AI subscription reveals the supply chain from model companies to cloud, GPUs, and power. **Prediction Markets:** The emergence of prediction market "concept stocks" is noted, with Robinhood developing its own platform, Rothera, signaling a shift from market competition to a "channel war" for user access. **CeFi & DeFi:** The SpaceX IPO tested perpetual contract mechanisms for pre-IPO assets, highlighting challenges in handling corporate actions like stock splits on-chain. The de-pegging of STRC (Strategy's preferred share) to ~$89 reflects market concerns over MicroStrategy's capital structure and BTC-backed leverage model. BlackRock's covered-call Bitcoin ETF (BITA) offers yield but caps upside, appealing to yield-seeking institutions. **Ethereum:** An opinion piece argues Ethereum's core strength is its vast developer community and composability, solidifying its role as the default operating system for the financial internet. **Weekly Hot Topics:** Include the US-Iran deal reopening the Strait of Hormuz, Fed's hawkish hold, Anthropic restricting model access, SpaceX acquiring Cursor, and a humorous stock surge for "Liuliumei" due to its "LLM" ticker.

marsbit1 год тому

Weekly Editor's Picks (0613-0619)

marsbit1 год тому

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

In this letter to entrepreneurs, Alliance reflects on the success of Cursor's $60 billion sale to Elon Musk, using it as a case study to counter the misconception that opportunities in crowded fields like AI or crypto are exhausted. The piece argues that great companies like Cursor, Stripe, Figma, and Shopify are not built by geniuses with perfect ideas, but by founders who start with a non-consensus belief about the future and build for years before that future becomes obvious to everyone. They identify long-term shifts, find overlooked entry points, and execute relentlessly. The framework for success involves: 1. **Identifying your place in the technology cycle**: Early-stage opportunities focus on making new tech usable for power users (e.g., Coinbase, Cursor). Later-stage opportunities involve finding the "yin" to an existing "yang"—the blind spots of first-generation players (e.g., Stripe vs. PayPal, Figma vs. Adobe). 2. **Cultivating unique insights**: Immerse yourself deeply in the market. Use every product, talk to users, and build an audience. Insights will emerge naturally from deep engagement. 3. **Finding a "hair-on-fire" problem**: Look for a 10x improvement or a severe, urgent pain point. The strongest signal is people already building clumsy workarounds. 4. **Building a focused MVP**: Don't just add features because you can. Ask why users would abandon their current tool for yours. The best startups rarely force new behaviors; they improve familiar workflows with drastically lower friction. 5. **Winning a distribution channel**: Distribution is often the moat. Before product-market fit, achieve channel-market fit. Find where your customers are and build an engine to reach them, even through unscalable, manual efforts initially. 6. **Persistence**: The final, unteachable ingredient is resilience. Success stories like Cursor, Airbnb, and Nvidia involved years of grinding, rejection, and perseverance when the path forward seemed unclear. The conclusion is that there is no secret. Most people fail to consistently execute these steps over the long term. The few who do build the companies that define the next era. The world is yours to create.

链捕手1 год тому

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

链捕手1 год тому

Торгівля

Спот
Ф'ючерси
活动图片