<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/0ec9cea34bfb45fdafd271d23b51ff6e&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0ec9cea34bfb45fdafd271d23b51ff6e-308a8b9aaffc880b.gif</thumbnail_url><duration>300.655</duration><title>Liquidity Oracle : UHI4 Submission</title><description>In this video, I present our capstone project focused on liquidity analysis in decentralized finance. We identified a gap in tools for analyzing liquidity curves, and our solution utilizes eigenlayer AVS to provide actionable insights. I discuss our metrics, including spread, market depth, and volatility, and demonstrate our dashboard that visualizes these metrics in real-time. I encourage you to explore our GitHub repository for more details and to run the application yourself.</description></oembed>