<?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/ea8b998cb1a442378925b7d9c4253c13&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ea8b998cb1a442378925b7d9c4253c13-268d444be05267a6.gif</thumbnail_url><duration>219.243</duration><title>Introducing SignalForge: A Prediction Market Bot for Real-Time Analytics 🚀</title><description>In this Loom video, I present SignalForge, my prediction market bot that utilizes data from Doge, USD, LimitlessExchange, and FiresEntrySignals, all powered by Python. The bot connects every 10 seconds and acts as a spied oracle to predict market resolutions based on a single source of truth. I explain the signal logic, which includes a 3-minute ensemble running every 5 minutes, using Z-score, probability, and RSI momentum to generate alerts on Telegram. Additionally, I showcase my multi-asset analytics dashboard, PyPause, which tracks various price feeds like BTC and Ethereum. I invite viewers to explore these tools and provide feedback.</description></oembed>