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    <loc>https://marketdecode.ai/privacy</loc>
    <lastmod>2026-05-30</lastmod>
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  <url>
    <loc>https://marketdecode.ai/terms</loc>
    <lastmod>2026-05-30</lastmod>
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  <url>
    <loc>https://marketdecode.ai/research/weekend-decode-ai-physical-infrastructure</loc>
    <lastmod>2026-05-30</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <news:news>
      <news:publication>
        <news:name>Market Decode</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-30</news:publication_date>
      <news:title>Weekend Decode: AI&apos;s Real Constraint Is Physical Infrastructure</news:title>
      <news:keywords>DELL, SMCI, HPE, MU, NVDA, AVGO, MRVL, AMD, VRT, ETN, GEV, CARR, TT, Weekly synthesis, AI infrastructure stack, Physical constraint: power and cooling, Servers and memory rotation</news:keywords>
    </news:news>
    <image:image>
      <image:loc>https://marketdecode.ai/og/weekend-decode-ai-physical-infrastructure.png</image:loc>
      <image:title>Weekend Decode: AI&apos;s Real Constraint Is Physical Infrastructure</image:title>
      <image:caption>This week the AI trade finally broadened past the GPU — but it paid for the boxes, not the bottleneck. Servers and memory ripped (Dell +42%, Super Micro +29%, Micron +27%). Power and cooling — the only things that physically cap a data center — were the week&apos;s only red layers. And every box that ran is now overbought, with insiders net-selling. The constraint is real. The market isn&apos;t paying for it yet.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/the-memory-bottleneck-why-ai-needs-hbm</loc>
    <lastmod>2026-05-29</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <news:news>
      <news:publication>
        <news:name>Market Decode</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-29</news:publication_date>
      <news:title>The Memory Bottleneck: Why AI Needs HBM</news:title>
      <news:keywords>MU, STX, WDC, NVDA, AMD, AVGO, HBM and the AI memory bottleneck, Memory super-cycle, Micron as the U.S. HBM play, Overbought rotation into memory and storage</news:keywords>
    </news:news>
    <image:image>
      <image:loc>https://marketdecode.ai/og/the-memory-bottleneck-why-ai-needs-hbm.png</image:loc>
      <image:title>The Memory Bottleneck: Why AI Needs HBM</image:title>
      <image:caption>High-bandwidth memory is the scarce input the entire AI buildout runs on, and Micron is the cleanest U.S. way to own it. The market already knows: MU has run +79% in 20 days to $923 — about 50% above the $615 mean analyst target, RSI 76, insiders net-selling $45M. The thesis is real. The entry is stretched.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/marvell-beat-everything-and-fell-dell-reports-tonight</loc>
    <lastmod>2026-05-28</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <news:news>
      <news:publication>
        <news:name>Market Decode</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-28</news:publication_date>
      <news:title>Marvell Beat Everything and Fell 5%. Dell Reports Tonight at RSI 80.</news:title>
      <news:keywords>DELL, MRVL, ALAB, MU, SMCI, CRDO, Sell-the-beat pattern in AI infrastructure, Dell Q1 FY27 earnings preview, Marvell Q1 FY27 post-print reaction, RSI overextension into binary catalysts</news:keywords>
    </news:news>
    <image:image>
      <image:loc>https://marketdecode.ai/og/marvell-beat-everything-and-fell-dell-reports-tonight.png</image:loc>
      <image:title>Marvell Beat Everything and Fell 5%. Dell Reports Tonight at RSI 80.</image:title>
      <image:caption>Marvell crushed Q1 on every line — $2.7B guide, FY28 raised to $16.5B, HSBC set a $300 PT — and the stock dropped 4.59%. Dell has run +48% in 20 days. RSI 80. Mean PT $240. Stock $305. Same physics. Dell reports after the close.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/marvell-print-night-pt-stock-insider-gap</loc>
    <lastmod>2026-05-27</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/marvell-print-night-pt-stock-insider-gap.png</image:loc>
      <image:title>Marvell&apos;s Print-Night Math: Stock $208, Mean PT $174, Insiders Net −$107M</image:title>
      <image:caption>Five analyst firms raised price targets in May. The CFO and COO sold twelve days before the print. The stock is $34 above the mean PT. Marvell reports Q1 FY27 tonight at 4:45 PM Eastern — by tomorrow morning, one tape is right.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/the-ai-cooling-trade-vertiv-eaton-trane-carrier</loc>
    <lastmod>2026-05-26</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/the-ai-cooling-trade-vertiv-eaton-trane-carrier.png</image:loc>
      <image:title>The AI Cooling Trade: Vertiv vs Eaton vs Trane vs Carrier</image:title>
      <image:caption>Same physical constraint, four different economic models. The cooling layer is still flat-to-down 20 days into the AI capex confirmation. Here is the company-by-company decomposition — the day before Marvell prints and two days before Dell.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/ai-physical-limits-power-heat-distance</loc>
    <lastmod>2026-05-25</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/ai-physical-limits-power-heat-distance.png</image:loc>
      <image:title>AI’s Physical Limits: Why Power, Heat, and Distance Matter</image:title>
      <image:caption>The AI trade is no longer just about chips. It is now bounded by three physical limits — power, heat, and distance — and the eight layers of companies that solve them are the next dollar of AI capex.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/ai-next-bottleneck-is-heat</loc>
    <lastmod>2026-05-24</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/ai-next-bottleneck-is-heat.png</image:loc>
      <image:title>AI’s Next Bottleneck Is Heat</image:title>
      <image:caption>Every watt that powers an AI chip becomes heat. That turns Vertiv, Eaton, Trane, and Carrier into part of the AI trade — even when the market is selling them.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/deep-decode-the-ai-infrastructure-stack-after-nvidia</loc>
    <lastmod>2026-05-23</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/deep-decode-the-ai-infrastructure-stack-after-nvidia.png</image:loc>
      <image:title>Deep Decode: The AI Infrastructure Stack After Nvidia</image:title>
      <image:caption>The AI trade is no longer one stock. It is a stack — compute, networking, optics, memory, power, cooling, servers, and the grid. Five of those layers got paid this week. Three are still waiting.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/the-ai-infrastructure-heat-map-which-bottleneck-comes-next</loc>
    <lastmod>2026-05-22</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/the-ai-infrastructure-heat-map-which-bottleneck-comes-next.png</image:loc>
      <image:title>The AI Infrastructure Heat Map: Which Bottleneck Comes Next?</image:title>
      <image:caption>After Nvidia’s post-earnings week, the AI stack has sorted into five distinct temperature zones. Four layers have repriced. One refuses to move. That’s the next bottleneck.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/what-nvidia-just-told-us-about-the-next-ai-bottleneck</loc>
    <lastmod>2026-05-21</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/what-nvidia-just-told-us-about-the-next-ai-bottleneck.png</image:loc>
      <image:title>What Nvidia Just Told Us About the Next AI Bottleneck</image:title>
      <image:caption>Nvidia beat for the 14th straight quarter and guided $91 billion. The stock barely moved. But the supply chain split in two — and the split reveals exactly where the market thinks the next constraint lives.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/nvidia-earnings-the-read-through-for-every-ai-stock</loc>
    <lastmod>2026-05-20</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/nvidia-earnings-the-read-through-for-every-ai-stock.png</image:loc>
      <image:title>Nvidia Earnings: The Read-Through for Every AI Infrastructure Stock</image:title>
      <image:caption>37 of 39 analysts say Buy. Options are 89% calls. But the supply chain Nvidia is supposed to turbocharge just dropped 5–14% in five days. Someone is wrong — and we find out at 2 PM Pacific.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/coherent-vs-lumentum-who-wins-the-ai-light-race</loc>
    <lastmod>2026-05-19</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/coherent-vs-lumentum-who-wins-the-ai-light-race.png</image:loc>
      <image:title>Coherent vs Lumentum: Who Wins the AI Light Race?</image:title>
      <image:caption>Both have $2 billion Nvidia investments. Both make optical modules for AI. One is growing 90%. The other is growing 20%. The market treats them as the same trade — they&apos;re not.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/why-ai-needs-light-the-physics-behind-the-bottleneck</loc>
    <lastmod>2026-05-18</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/why-ai-needs-light-the-physics-behind-the-bottleneck.png</image:loc>
      <image:title>Why AI Needs Light: The Physics Behind the Next Bottleneck</image:title>
      <image:caption>The media declared photonics &quot;phase 3&quot; of AI infrastructure. The stocks just dropped 9–21% in a week. The physics didn&apos;t change — the price did.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/deep-decode-after-gpus-its-light</loc>
    <lastmod>2026-05-17</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/deep-decode-after-gpus-its-light.png</image:loc>
      <image:title>Deep Decode: After GPUs, the AI Bottleneck Is Light</image:title>
      <image:caption>The AI trade is taught as a GPU story. The data this week says the bottleneck has moved to optical. Cisco&apos;s $9 billion AI order book, Lumentum&apos;s 22 percent implied Q4 sequential acceleration, and a basket of optical-networking names quietly outperforming the chip names — the picks-and-shovels are no longer where most retail readers are looking.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/weekend-decode-week-money-quietly-moved</loc>
    <lastmod>2026-05-16</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/weekend-decode-week-money-quietly-moved.png</image:loc>
      <image:title>Weekend Decode: The Week the Money Quietly Moved</image:title>
      <image:caption>The S&amp;P drifted near its highs all week. Underneath, only 2 of 11 sectors had a positive week, the Mag 7 kept splitting, and insiders bought 36 of the top-50 composite names across 8 sectors. The synthesis: money is rotating to selective quality — and the index is the last thing telling you.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/insiders-buying-the-dip</loc>
    <lastmod>2026-05-15</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/insiders-buying-the-dip.png</image:loc>
      <image:title>The Crowd Is Selling. Insiders Are Buying Quality.</image:title>
      <image:caption>The market is in risk-off mode with 9 of 11 sectors bearish. But insiders at top-quality companies are buying aggressively — V 10/0 buys, MSFT 22/1 buys. Smart money sees value where the crowd is selling.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/rotation-has-a-new-leader-china</loc>
    <lastmod>2026-05-14</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/rotation-has-a-new-leader-china.png</image:loc>
      <image:title>The New Market Leader Isn&apos;t Tech. It&apos;s China.</image:title>
      <image:caption>China &amp; International has led all sectors for two consecutive days. The headline indices look calm. Underneath, the marginal dollar is rotating abroad while the Mag 7 fractures.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://marketdecode.ai/research/mag-7-just-quietly-fractured</loc>
    <lastmod>2026-05-13</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.9</priority>
    <image:image>
      <image:loc>https://marketdecode.ai/og/mag-7-just-quietly-fractured.png</image:loc>
      <image:title>The Mag 7 Just Quietly Fractured</image:title>
      <image:caption>The sector signal says &apos;bullish, high confidence.&apos; The individual scores range from bearish to bullish. The basket has stopped trading like a basket.</image:caption>
    </image:image>
  </url>
</urlset>
