<?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/2c05600f0433459ba367e2b6b4421993&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/2c05600f0433459ba367e2b6b4421993-63e5b3f4881d2537.gif</thumbnail_url><duration>152.256</duration><title>Understanding RadarCrypto: A New Approach to Crypto Narratives 📊</title><description>In this video, I walk you through RadarCrypto, a descriptive system designed to help analysts understand the behavior of crypto narratives week to week. Unlike traditional sentiment tools, we focus on how attention is organized across 35-plus crypto communities, classifying each week into five narrative regimes, such as narrative rotation or fragmentation. I emphasize that many weeks don&apos;t change regimes, which is intentional and informative, indicating stability in market posture. This tool is meant to complement existing research, not replace it, and I invite you to reach out if you find this framing useful.</description></oembed>