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Rising Treasury Yields Trigger Selloff in Bitcoin (BTC) and Stock Markets

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Bitcoin (BTC) Price

Key Takeaways

  • Bitcoin (BTC) plunged from approximately $90,000 to close to $60,000 in early 2026, while equities remained resilient — but that’s changing.
  • Following the outbreak of conflict with Iran on Feb. 28, Treasury yields have surged, pushing Nasdaq and S&P 500 futures down to September levels.
  • The 10-year Treasury yield reached 4.41%, marking its highest point since August 1, climbing 48 basis points since hostilities began.
  • Both cryptocurrency and stock market sentiment indicators have plunged into “extreme fear” zones during late March.
  • Retail investor pessimism has reached 52% for the next six-month outlook — the most negative reading since May 2025.

Digital asset markets experienced severe turbulence at the beginning of 2026, with Bitcoin plummeting from approximately $90,000 to near $60,000 within a five-week period. During that same timeframe, U.S. equity markets showed remarkable resilience, hovering close to all-time peaks.

Bitcoin (BTC) Price
Bitcoin (BTC) Price

That divergence is rapidly disappearing — and not for positive reasons.

Since military operations involving Iran commenced on February 28, concerns about inflationary pressures and diminishing prospects for Federal Reserve interest rate reductions have driven U.S. Treasury yields significantly higher. This shift has started dragging equities downward, mirroring the weakness that bitcoin telegraphed several weeks ahead.

The benchmark 10-year U.S. Treasury note yield advanced to 4.41% during early Monday trading, marking its strongest level since the beginning of August. The yield has increased by 48 basis points from when the Iranian conflict initiated. Meanwhile, the two-year Treasury yield has surged 57 basis points to reach 3.94%.

Elevating yields carry significant implications because they increase borrowing expenses throughout the broader economy — affecting everything from home mortgages to business financing. This dynamic typically dampens enthusiasm for riskier assets in equity markets.

Nasdaq futures declined to 23,890 points during Monday’s early session, representing the weakest level since September 11. S&P 500 e-mini futures tumbled to 6,505 points, similarly marking their lowest position since September.

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E-Mini S&P 500 Jun 26 (ES=F)
E-Mini S&P 500 Jun 26 (ES=F)

Bitcoin Functions as an Early Warning System

Market observers have consistently monitored bitcoin as a forward-looking gauge for overall risk sentiment. Its sharp decline during early 2026 may have served as an advance warning of the turbulence equities are currently facing.

In a recent analysis, Bloomberg Senior Commodity Strategist Mike McGlone highlighted that bitcoin occupies a position “at the top of the risk-assets iceberg,” suggesting its deteriorating price action could represent the initial phase of a broader market correction — especially if volatility in commodities spills over into stock indices.

Bitcoin has traded within a relatively narrow range in recent weeks, oscillating between $65,000 and $75,000. Monday morning prices hovered around $68,790. However, derivatives market indicators reveal profound anxiety, with an unprecedented skew toward put options — financial instruments designed to protect against additional price declines.

Anxiety Permeates Both Asset Classes

Measures of market sentiment indicate that fear has become pervasive. The Crypto Fear & Greed Index has retreated to “extreme fear” status. A comparable gauge tracking stock market sentiment has likewise experienced a sharp deterioration.

Blockchain analytics provider Alphractal characterizes this simultaneous emergence of fear across both markets as an uncommon occurrence, advising investors to maintain heightened vigilance.

Data from the American Association of Individual Investors reveals that 52% of retail market participants maintain a pessimistic view for the upcoming six months. This represents the most bearish sentiment registered since May 2025.

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Donald Trump’s 48-hour deadline concerning the Strait of Hormuz continues ticking down, contributing additional uncertainty to market psychology.

Market analyst Tony Severino highlights a recurring historical phenomenon where bitcoin’s correlation with the S&P 500 declines to -0.5 before experiencing a dramatic reversal upward — a configuration he suggests frequently precedes significant equity market declines. That correlation metric has recently shifted back into positive territory.

“Typically there’s an initial rally that amplifies the subsequent pain,” Severino noted.

Current market pricing reflects a modest probability that the Federal Reserve might actually increase interest rates instead of implementing the anticipated cuts.

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Crypto World

AI Routers Can Steal Credentials and Crypto

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AI Routers Can Steal Credentials and Crypto

University of California researchers have discovered that some third-party AI large language model (LLM) routers can pose security vulnerabilities that can lead to crypto theft. 

A paper measuring malicious intermediary attacks on the LLM supply chain, published on Thursday by the researchers, revealed four attack vectors, including malicious code injection and extraction of credentials

“26 LLM routers are secretly injecting malicious tool calls and stealing creds,” said the paper’s co-author, Chaofan Shou, on X.

LLM agents increasingly route requests through third-party API intermediaries or routers that aggregate access to providers like OpenAI, Anthropic and Google. However, these routers terminate Internet TLS (Transport Layer Security) connections and have full plaintext access to every message. 

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This means that developers using AI coding agents such as Claude Code to work on smart contracts or wallets could be passing private keys, seed phrases and sensitive data through router infrastructure that has not been screened or secured.

Multi-hop LLM router supply chain. Source: arXiv.org

ETH stolen from a decoy crypto wallet 

The researchers tested 28 paid routers and 400 free routers collected from public communities. 

Their findings were startling, with nine routers actively injecting malicious code, two deploying adaptive evasion triggers, 17 accessing researcher-owned Amazon Web Services credentials, and one draining Ether (ETH) from a researcher-owned private key.

Related: Anthropic limits access to AI model over cyberattack concerns

The researchers prefunded Ethereum wallet “decoy keys” with nominal balances and reported that the value lost in the experiment was below $50, but no further details such as the transaction hash were provided. 

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The authors also ran two “poisoning studies” showing that even benign routers become dangerous once they reuse leaked credentials through weak relays.

Hard to tell whether routers are malicious

The researchers said it was not easy to detect when a router was malicious.  

“The boundary between ‘credential handling’ and ‘credential theft’ is invisible to the client because routers already read secrets in plaintext as part of normal forwarding.” 

Another unsettling find was what the researchers called “YOLO mode.” This is a setting in many AI agent frameworks where the agent executes commands automatically without asking the user to confirm each one.

Previously legitimate routers can be silently weaponized without the operator even knowing, while free routers may be stealing credentials while offering cheap API access as the lure, the researchers found.

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“LLM API routers sit on a critical trust boundary that the ecosystem currently treats as transparent transport.” 

The researchers recommended that developers using AI agents to code should bolster client-side defenses, suggesting never letting private keys or seed phrases transit an AI agent session.

The long-term fix is for AI companies to cryptographically sign their responses so the instructions an agent executes can be mathematically verified as coming from the actual model. 

Magazine: Nobody knows if quantum secure cryptography will even work