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PARASIZKRAL1

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BeInCrypto Global
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US Dollar Index Is Rising: Will Bitcoin Price Follow or Backtrack?
The US Dollar Index (DXY) is breaking out toward 101 after forming a double bottom on the daily chart. Historically, that move would have weighed on Bitcoin (BTC) price. But 2026 correlation data tells a different story.

Bitcoin trades near $80,605, up 0.97% over 24 hours and 8.71% over the past 30 days. The question now is whether dollar strength still drives BTC price, or if Bitcoin moves on its own fundamentals.

The Long-Term Inverse Correlation Still Carries Weight

For more than a decade, the DXY and Bitcoin have generally moved in opposite directions. Data from Bitcoin Counterflow dates back to 2011 and clearly visualizes the pattern.

Bitcoin expansion phases in 2013, 2017, and 2020 lined up with DXY weakness below 90. DXY rallies in 2014, 2018, and 2022 coincided with deep BTC drawdowns of 60% or more.

The mechanism behind the link is straightforward. A weaker dollar typically signals looser financial conditions and a higher risk appetite, both of which have historically lifted Bitcoin alongside other risk assets.

DXY vs BTC price / Source: Bitcoincounterflow.com

Youtuber Carl Moon recently posted a monthly comparison chart that strengthens this view. His chart marks each Bitcoin halving cycle against DXY phases.

Red blocks during BTC bull runs match DXY declines, while green blocks during corrections show dollar strength. However, Moon’s forward projection draws both assets pushing higher together, hinting that the relationship may be shifting.

2026 Tells a More Complicated Story

While the macro view supports the inverse case, recent price action complicates it. A correlation overlay between DXY and Bitcoin on the daily chart shows a mixed picture across 2026.

Late January and early February saw a correlation near positive 1.00 (blue ellipse). Both assets fell together as risk markets repriced. The same positive correlation returned in mid-March and early April, with both recovering in tandem.

Negative correlation then snapped back from mid-April through May (red ellipse). DXY rallied while BTC consolidated near $80,000. Readings approached negative 1.00, reasserting the inverse pattern after months of decoupling.

DXY and BTC daily correlation / Source: Tradingview

This whipsaw aligns with structural changes in the Bitcoin market. Spot Bitcoin Exchange Traded Fund (ETF) flows reached $1.97 billion in April, the strongest month of 2026.

Institutional demand now influences BTC pricing independently of dollar moves. In contrast, retail-driven cycles of the past reacted more sharply to dollar strength. That sensitivity appears to be fading as flows from BlackRock and other issuers anchor a steady bid.

DXY Price Prediction Points Toward 101.075

The current DXY chart sets up a clean technical thesis. Price trades at 99.124 after breaking above the 0.618 Fibonacci retracement at 98.548. A W-formation across April and May provides the structural base for the move.

The bullish target sits at 101.075, roughly 2% above current levels. That level prints just above the 100.393 supply zone, which marks the 1.0 Fibonacci extension and the previous March and April high.

DXY daily chart / Source: Tradingview

Momentum supports the breakout. The Relative Strength Index (RSI) has climbed toward 60, while the Moving Average Convergence Divergence (MACD) histogram has flipped green and continues to expand.

Invalidation comes on a daily close below the 0.382 Fibonacci level at 97.408. That zone aligns with the green support band visible on the chart.

This setup creates a clean test for the broader correlation question. If DXY clears 100.393 and Bitcoin holds or rallies, the decoupling thesis gains weight.

However, if BTC sells off as DXY pushes 101, the historical inverse correlation reasserts, and macro forces still drive Bitcoin. The next few weeks should answer whether Bitcoin has grown into a stand-alone asset or remains a passenger on the dollar’s path.
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Binance News
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Google Identifies AI-Exploited Zero-Day Vulnerability in Web Management Tool
Google's Threat Analysis Group has confirmed that cybercriminals have used artificial intelligence models to discover and exploit a zero-day vulnerability in a popular open-source web management tool, according to ChainCatcher. This vulnerability allowed attackers to bypass two-factor authentication. Google stated that this marks the first time the company has identified AI-assisted zero-day vulnerability development in a real-world scenario. Before attackers could exploit the vulnerability on a large scale, Google collaborated with the affected vendors to patch the issue. The vulnerability was identified as a logic error, where the software trusted a condition that could bypass two-factor authentication. Unlike traditional scanners that search for crashes or erroneous code, AI analyzed the software's expected functionality and detected logical inconsistencies, enabling attackers to bypass security checks without compromising encryption.
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AI Researcher
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Pesimistický
Exactly as I said yesterday… $LYN rejected perfectly from that level. 🎯

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Robo

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