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Peter Schiff Predicts Bitcoin Crash Below $20K

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Prominent Economist and Bitcoin critic Peter Schiff,  has once again predicted that Bitcoin is headed for a major crash, potentially falling below $20,000 after it plunged significantly below the $66k price level.

Schiff, argues that BTC’s current price action reflects overconfidence among holders. He believes a decisive break of the $50,000 level would accelerate selling, leading to capitulation among long-term investors who have held through previous cycles.

He wrote on X,

“There is way too much complacency in Bitcoin for the market to be anywhere near a bottom. When Bitcoin breaks $50K, it should be a quick fall below $20K, which should be a big enough drop to shake the conviction of long-term HODLers, causing many to finally throw in the towel.”

His statement comes after BTC experienced a sharp sell-off, dropping below the key $66,000 psychological level for the first time in recent weeks.

The cryptocurrency hit a 24-hour low of around $65,708 before trading near $66,000–$67,000, representing a roughly 6-7% decline in 24 hours and over 10% in the past week.

Schiff views cryptocurrency as a speculative bubble lacking intrinsic value, in contrast to precious metals, which he believes offer real monetary utility.

This is not the first time that he has issued dire warnings for Bitcoin. He has consistently criticized the asset since its early days, often highlighting its volatility and lack of intrinsic value compared to gold.

Critics frequently point out that his similar bearish calls in past cycles such as during Bitcoin’s rise from under $1,000, have not materialized into permanent collapse, as the cryptocurrency has repeatedly recovered to new highs.

Broader Market Sentiment

Despite the warning, on-chain data and market observers suggest many long-term holders remain steadfast. Prediction markets and analysts point to stronger support levels, though volatility remains a hallmark of the crypto space.

Some forecasts from other analysts contrast sharply with Schiff’s outlook, with certain institutions still projecting significant upside later in 2026.

Yoshitaka Kitao, former SoftBank CFO and the head of Japan’s SBI Group, wrote in a post on X that the recent weakness across the cryptocurrency market may reflect investor positioning ahead of several highly anticipated U.S. IPOs.

He wrote,

“Although the cryptocurrency market is declining overall, the reason is believed to be that institutional investors and others are raising funds for acquiring shares in the three major upcoming IPOs of SpaceX, Anthropic, and OpenAI, which are successively scheduled in the United States in the future.

“From a fundamental perspective, there are no concerns whatsoever, and I am convinced that if the Clarity Act is enacted in the United States, it will bring a positive impact to the cryptocurrency market, including Ripple.”

Also, GLJ Research CEO Gordon Johnson attributes the decline to tightening financial conditions. He argues that sources of excess cash that previously supported speculative investments have diminished, while increased Treasury bill issuance is diverting capital from higher-risk assets such as Bitcoin.

According to this view, the cryptocurrency market is confronting a broader liquidity challenge rather than a short-term capital shift tied to upcoming stock offerings.

Despite a decline in the price of crypto assets institutional adoption continues through spot ETFs, corporate treasuries (e.g., MicroStrategy), and growing nation-state interest. Long-term holders appear resilient, with on-chain data often showing limited selling pressure during dips.

Schiff’s thesis relies on historical drawdowns, leverage unwinds, and potential correlations with traditional markets like the Nasdaq. Critics argue this underestimates Bitcoin’s evolving role as a digital store of value and its decoupling narrative from pure risk assets.

Outlook

Bitcoin’s price downturn has intensified pressure on cryptocurrency miners. Industry estimates place average mining expenses near $87,553 per Bitcoin, substantially above current market prices.

Still, the crypto asset has delivered returns over the past decade that are comparable to those of AI chip giant Nvidia. Bitcoin has rocketed roughly 12,736% over the last 10 years, while Nvidia has returned about 19,430% during the same period.

The near-term outlook for Bitcoin remains heavily tied to liquidity conditions, ETF flows, and broader risk appetite across global markets. Ultimately, the current cycle reflects a tug-of-war between liquidity-driven macro pressures and structurally improving adoption trends.

Whether the market follows Schiff’s capitulation thesis or the long-term institutional adoption narrative will depend less on sentiment alone and more on sustained capital flows over the coming months.

Hyperliquid hits new ATHs in Price and Open Interest

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Hyperliquid has emerged as one of the most closely watched decentralized derivatives platforms in crypto markets, and its latest surge to new all-time highs in both price and open interest signals a deeper structural shift in on-chain leverage, liquidity formation, and trader behavior.

Unlike earlier DeFi cycles where activity was fragmented across multiple venues, Hyperliquid has begun consolidating a meaningful share of perpetual futures flow into a single high-performance order book environment, effectively competing with centralized exchanges on execution quality while retaining on-chain settlement guarantees.

The simultaneous breakout in both token price and open interest is particularly important. Price alone can reflect speculative momentum, but rising open interest indicates capital commitment to directional positions.

In this case, the expansion of open interest suggests that traders are not merely rotating into the Hyperliquid ecosystem; they are actively deploying leverage, expressing conviction, and increasing exposure through perpetual contracts. This dynamic often reflects a maturing derivatives market phase, where liquidity depth and margin efficiency begin to attract more sophisticated participants, including algorithmic traders and cross-venue arbitrage strategies.

From a microstructure perspective, Hyperliquid’s architecture has played a central role in this expansion. By maintaining a fully on-chain matching engine optimized for speed and low latency, it reduces many of the inefficiencies historically associated with decentralized perpetual exchanges. This allows for tighter spreads, reduced slippage, and a more CEX-like trading experience.

As a result, capital that previously would have remained on centralized venues is increasingly being tested and deployed within decentralized alternatives, particularly during periods of heightened volatility when counterparty risk considerations become more relevant. The price appreciation of the Hyperliquid token itself reflects this usage-driven demand.

In DeFi markets, protocol tokens tied to trading activity often exhibit reflexive behavior: higher volume leads to higher fee generation, which improves perceived protocol value, which in turn attracts further speculation and liquidity inflows. This feedback loop becomes more pronounced when open interest rises in tandem, as it implies not only more trading activity but also more collateral locked into the system’s margin framework.

In essence, the token becomes a proxy for the growth of on-chain derivatives demand. However, such rapid expansions in both price and leverage also introduce structural risks. Elevated open interest can amplify liquidation cascades if market direction shifts abruptly, particularly in environments where funding rates become imbalanced.

In decentralized perpetual systems, liquidation engines and oracle pricing mechanisms must operate seamlessly under stress conditions to avoid cascading failures. Hyperliquid’s ability to maintain stability under these conditions will be a critical determinant of whether this breakout phase represents sustainable growth or a short-term leverage cycle.

The milestone reflects an ongoing convergence between decentralized finance and traditional derivatives infrastructure. The fact that a decentralized platform is now registering record open interest levels indicates that market participants are increasingly comfortable expressing leveraged views outside of centralized exchanges. This is part of a wider evolution in crypto market structure, where execution quality, transparency, and composability are beginning to rival the convenience advantages historically held by centralized venues.

Hyperliquid’s dual all-time highs in price and open interest mark more than just a market rally. They signal a transition phase in which decentralized derivatives are moving from experimental infrastructure to core trading venues for global crypto liquidity.

Whether this momentum persists will depend on sustained liquidity depth, risk management robustness, and continued adoption by high-frequency and institutional participants. But for now, the market is clearly assigning a higher valuation to platforms that can successfully merge performance with decentralization at scale.

Google’s $80 Billion AI Infrastructure Expansion and Berkshire Hathaway’s $10B Bet Signal a New Era in Big Tech AI Spending

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Alphabet Inc. is reportedly raising $80 billion in new capital to accelerate its artificial intelligence infrastructure expansion, marking one of the largest single-year capital mobilizations in the technology sector. The package reportedly includes a landmark $10 billion strategic investment from Berkshire Hathaway, signaling a rare intersection between traditional value investing and frontier AI infrastructure.

The move underscores the accelerating arms race among hyperscalers as compute demand surges across generative AI, large language models, and enterprise automation. At the center of this capital expansion is Alphabet Inc.’s effort to secure long-term dominance in AI compute infrastructure, particularly through massive investments in data centers, custom silicon, and high-performance networking.

The company is responding to unprecedented demand for training and inference workloads, which continue to outpace global supply of advanced GPUs and specialized accelerators.

By raising such a large capital pool, Alphabet signals that AI infrastructure is no longer a marginal expense but a core strategic pillar. Meanwhile, Berkshire Hathaway’s participation introduces a notable shift in institutional capital allocation, as the firm historically associated with value-oriented investments moves deeper into AI infrastructure exposure.

This $10 billion commitment reflects growing conviction that AI compute networks will function as the backbone of future economic productivity. Analysts interpret the investment as a hedge against long-duration technological transformation, rather than a short-term speculative position. The scale of the $80 billion raise also highlights intensifying competition among hyperscalers, including Microsoft, Amazon, and emerging AI-native cloud providers.

Each is racing to expand data center capacity, secure energy supply, and lock in semiconductor partnerships. The result is a capital-intensive cycle that increasingly resembles traditional industrial infrastructure buildouts rather than software-driven growth. Market observers note that such large-scale funding rounds are reshaping the boundaries between public and private capital markets. With sovereign wealth funds, insurance giants, and legacy conglomerates entering AI infrastructure financing, the sector is evolving into a quasi-utility model.

This raises questions about concentration risk, long-term returns, and the sustainability of exponential infrastructure spending.

The reported $80 billion capital raise represents more than a financing event; it signals a structural transition in how artificial intelligence systems are built, funded, and scaled across the global economy. As Alphabet Inc. deepens its infrastructure footprint, the boundary between technology company and infrastructure utility continues to blur, particularly as AI workloads become persistent, always-on demands rather than episodic computational tasks.

The involvement of Berkshire Hathaway further legitimizes AI infrastructure as an investable asset class, potentially opening the door for additional long-horizon capital from pension funds and conservative institutional investors seeking inflation-resilient returns. Capital markets are increasingly converging with compute markets, where access to energy, chips, and data center capacity determines competitive advantage at a national and corporate level.

This convergence is driving unprecedented collaboration between tech giants and traditional financial institutions, reshaping the architecture of global innovation funding. At the same time, it introduces systemic dependencies on a narrow set of firms capable of deploying tens of billions in synchronized infrastructure investments, raising strategic and regulatory considerations.

Whether this trend results in durable productivity gains or excessive capital concentration will depend on how efficiently these investments translate into real-world AI capability improvements over the coming decade. Either outcome will define the next phase of technological leadership and determine which institutions shape the global AI-driven economic order going forward in the decade ahead.

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Why Polymarket’s No Resolution Sparked Controversy Over MicroStrategy BTC Exposure Interpretation

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Polymarket is facing renewed scrutiny after its prediction market MSTR Sells Bitcoin Before March 31 resolved to No, triggering a wave of backlash from traders who argue the outcome fails to reflect the economic reality of MicroStrategy’s Bitcoin-related activities.

The dispute has intensified debate over how decentralized prediction markets interpret ambiguous corporate behavior, especially when binary contracts attempt to reduce complex treasury and accounting decisions into simple yes-or-no outcomes. At the center of the controversy is MicroStrategy, whose Bitcoin strategy has long made it a focal point for crypto-linked forecasting markets.

Prediction markets like Polymarket rely on predefined resolution criteria and third-party or community oracle mechanisms to settle outcomes.

In this case the contract hinged on whether MicroStrategy sold Bitcoin before March 31 a condition that requires precise interpretation of corporate filings custodial wallet flows and disclosure timing While some participants pointed to absence of verifiable on-chain liquidation events others argued that indirect exposure changes or collateral adjustments should qualify as selling exposing the fragility of binary framing in complex financial behavior.

The controversy escalated as traders disputed whether sell should be interpreted narrowly as spot Bitcoin liquidation or more broadly as any reduction in effective Bitcoin exposure including collateralized borrowing or structured financing. Critics of the resolution argued that reliance on strict on-chain transfer evidence ignores off-exchange financial engineering that can materially reduce risk exposure without triggering visible wallet movements.

Supporters of the No outcome countered that without explicit sale records or confirmed transfers from custody wallets no verifiable sale occurred within the defined period. The incident raises broader concerns about prediction market design especially the governance of ambiguous macro-financial questions.

As markets expand beyond simple event outcomes into corporate strategy and treasury behavior the need for standardized resolution frameworks becomes more urgent. Without consistent interpretive rules participants may price contracts based on subjective assumptions increasing volatility and reducing hedging utility. For platforms like Polymarket maintaining credibility depends on minimizing discretionary interpretation in settlement logic.

Market trust is central to liquidity formation in decentralized prediction platforms. Disputes like this can deter sophisticated participants particularly institutional traders who require deterministic settlement conditions.

If outcomes are perceived as inconsistent or overly reliant on interpretive discretion spreads widen and speculative participation dominates. Conversely clearer standards and transparent arbitration processes could strengthen Polymarket role as a credible signal layer for macro expectations and event-driven pricing. The dispute over MicroStrategy Bitcoin activity underscores the structural tension between real-world financial complexity and binary prediction frameworks.

As Polymarket continues to scale into high-stakes economic forecasting the platform faces pressure to refine its resolution criteria improve transparency and reduce interpretive ambiguity How it resolves such conflicts will shape whether prediction markets evolve into reliable financial instruments or remain primarily speculative arenas.

Beyond immediate trader disputes the episode also highlights the critical role of oracle governance systems in decentralized prediction markets. Resolution mechanisms often depend on curated sources community voting or token-weighted arbitration each introducing its own bias and latency risks.

When contracts involve nuanced corporate behavior reliance on simplified data feeds can distort final outcomes. The MicroStrategy case may therefore serve as a precedent for tightening market specification language requiring explicit definitions of sale effective exposure and custodial transfer. Without such rigor future disputes risk becoming recurring structural friction rather than isolated anomalies across evolving global crypto prediction markets today.

Bitcoin ETF Outflows Reach 11-Day Streak as BTC Falls Below $64k

The latest stretch of weakness in spot Bitcoin exchange-traded funds has extended into an unusual and increasingly consequential pattern: 11 consecutive days of net outflows as Bitcoin briefly slipped below the $70,000 threshold (64,000 at the moment). While the move below a major psychological price level drew attention, the deeper signal is flowing through ETF plumbing, where investor positioning is tightening and liquidity conditions are visibly shifting.

The sustained outflow streak suggests that institutional demand—previously the dominant marginal buyer during earlier phases of the cycle—is temporarily stepping back. These vehicles were designed to provide regulated, brokerage-friendly exposure to Bitcoin, and their flow dynamics now function as a near real-time proxy for risk appetite among wealth managers, hedge funds, and advisory platforms. Eleven straight days of redemptions imply not just short-term profit-taking, but a broader recalibration of exposure following an extended rally.

Price action reinforces this narrative. Bitcoin’s brief dip under $70,000 did not occur in isolation; it coincided with thinning order books and reduced passive inflows from ETF creations.

When ETF demand slows or turns negative, arbitrage mechanisms that typically stabilize price—such as authorized participants creating and redeeming shares against underlying Bitcoin—become less supportive. The result is a market that is more exposed to directional selling pressure, even if macro demand remains structurally intact. A key driver behind this shift appears to be macro sensitivity.

Elevated real yields and ongoing uncertainty around central bank policy have reduced appetite for duration-like risk assets. Bitcoin, increasingly treated by institutional allocators as a hybrid macro asset rather than purely a speculative instrument, tends to react to these liquidity conditions. When risk-free returns rise, the relative attractiveness of non-yielding assets diminishes, and capital rotation often follows.

The ETF outflow trend may also reflect internal portfolio rebalancing rather than outright bearish conviction. After significant inflows earlier in the year, many portfolios likely became overweight Bitcoin relative to target allocations. A consolidation phase naturally triggers rebalancing flows, especially when price approaches prior highs or key technical levels. The $70,000 zone, in particular, has emerged as a liquidity magnet where both profit-taking and stop-loss clustering can amplify volatility.

Derivatives markets add another layer of context. Funding rates and open interest adjustments suggest that leveraged positioning has been partially unwound during the drawdown. This reduces the risk of forced liquidation cascades but also removes a source of upward momentum that previously accelerated price discovery. In this environment, spot ETF flows become even more influential, effectively setting the tone for near-term direction.

Importantly, the current pattern does not necessarily indicate structural deterioration in Bitcoin’s long-term demand profile.

Institutional adoption through ETFs remains one of the most significant structural changes in the asset’s history, and episodic outflow streaks are expected within any mature financial product. However, the duration of the current sequence is notable, and markets are beginning to test how resilient ETF-driven demand is during corrective phases. The key question is whether the $70,000 level acts as a temporary liquidity vacuum or a more durable support zone that attracts renewed institutional inflows.

If outflows persist, downside volatility may extend as passive demand weakens. Conversely, a reversal in ETF flows could quickly re-stabilize price action given the scale of capital now embedded in these products. What is clear is that Bitcoin’s market structure has evolved. Spot ETFs have not eliminated volatility—they have reshaped its transmission mechanism. And in this current phase, flows rather than narratives are doing most of the price discovery.