<?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/0420275efda647fbb71d1435fb349414&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0420275efda647fbb71d1435fb349414-aed0b96352d09682.gif</thumbnail_url><duration>290.882</duration><title>Exploring High Frequency Trading with AI on CRE</title><description>In this video, I presented my project focused on high-frequency trading using AI and the implementation of a vault contract with CCIP for cross-chain operations. I demonstrated the workflow, including local tests and the successful execution of liquidation processes in real-time simulations. I also discussed the limitations of WebSockets and expressed hope for future support to enhance market opportunities. I would appreciate feedback from the team to improve this product further and optimize its capabilities. Thank you for your attention!</description></oembed>