<?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/f5d616e523c94d1ab1faf5b47fc627e1&quot; frameborder=&quot;0&quot; width=&quot;1726&quot; height=&quot;1294&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1294</height><width>1726</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1294</thumbnail_height><thumbnail_width>1726</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f5d616e523c94d1ab1faf5b47fc627e1-840f7af7893113bd.gif</thumbnail_url><duration>2021.977</duration><title>InnovestAI Capstone Project Walkthrough</title><description>This Loom demonstrates InnoVest AI, a risk analysis app for both stock and crypto markets. The author shows how to use the dashboard with a watchlist, switch chart timeframes and types, save strategy notes, view latest news with sentiment indicators, and manage a portfolio whose donut chart updates based on entered quantities and buy prices. They then explain how the Analyze Portfolio feature sends symbols, strategy notes, quantity, and buy price to a backend API for AI risk analysis, including validation rules and caching using a 64 digit hex key. Finally, they cover supporting challenges such as autocomplete with server side query checks and caching for 60 minutes, and chart rendering differences where crypto data can include weekends while stocks do not.</description></oembed>