video1.0<iframe src="https://www.loom.com/embed/46aaed0be14c4205bff051c28fb5f97e" frameborder="0" width="1726" height="1294" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12941726Loomhttps://www.loom.com12941726https://cdn.loom.com/sessions/thumbnails/46aaed0be14c4205bff051c28fb5f97e-d469daad4c4f3072.gif1061.461This Loom demonstrates the InnerVest AI web app for assessing crypto and stock investment risk and showing recommended next actions. The presenter walks through the dashboard with a watchlist, market charts, portfolio CRUD storage, and an AI Risk Analysis that, when “Analyze Portfolio” is clicked, returns three risk paragraphs including high volatility exposure, timing risk, and concentration risk. They also explain key technical decisions, including using an in-memory cache to handle Polygon API limits of five requests per minute by caching responses for 10 minutes. The discussion concludes with a review of common implementation challenges, including handling different Polygon URL formats for stocks versus crypto and UI save logic bugs.