<?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/6bac4889ee1544aba148402261ec8e0d&quot; frameborder=&quot;0&quot; width=&quot;1108&quot; height=&quot;831&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>831</height><width>1108</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>831</thumbnail_height><thumbnail_width>1108</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6bac4889ee1544aba148402261ec8e0d-5a60ecf886a9eff1.gif</thumbnail_url><duration>185.862</duration><title>Building Profitus, Trading Insights from Data</title><description>This Loom explains how the Prophetus app turns market data into actionable trading conclusions and scenarios. The speaker built it to bridge the gap between raw chart data and usable insights by combining technical analysis, some fundamental analysis, and custom indicators tailored to their trade. They demonstrate how the app interprets Bitcoin by identifying a bearish downtrend and generating possible reversal scenarios that can be saved as a one-click trading journal. They also discuss the technical challenge of designing a reliable market-data processing pipeline that consistently outputs clean, structured results, running alongside Prentice for fundamentals and valuations.</description></oembed>