video1.0<iframe src="https://www.loom.com/embed/8a111686672b4ffb8d02989a6dc9dda8" frameborder="0" width="1670" height="1252" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12521670Loomhttps://www.loom.com12521670https://cdn.loom.com/sessions/thumbnails/8a111686672b4ffb8d02989a6dc9dda8-10e6baecf737bc1d.gif516.572In this video, I introduced PhantomPool, a privacy-preserving dark pool designed for prediction markets. I highlighted the challenges market makers face on platforms like Polymarket, where their trading intentions can be easily detected and exploited, leading to significant losses. PhantomPool addresses these issues through three key mechanisms: private market matching, an iceberg engine to obscure order sizes, and an AI news agent that identifies mispriced markets. I encourage you to consider how these innovations can enhance trading strategies while maintaining confidentiality. Let's dive deeper into the technical implementation and explore how we can leverage this system effectively.