Immut Labs Blog
Research notes and engineering perspectives on trading automation, market microstructure, and the systems that help humans make better decisions.
Two platforms helped prediction markets break out of the niche. Their momentum is powered by better UX, clearer settlement, and tech stacks that make “markets for truth” feel usable.
Prediction markets turn distributed beliefs into prices. As liquidity grows, those prices influence capital allocation, hedging, and narrative-driven flows across traditional and on-chain markets.
The “MEV problem” is often a symptom. The real disease is fire‑and‑forget bots with no learning loop. The edge lives in feedback, friction, and human-in-the-loop execution.
Most “AI trading” just accelerates old indicators. Real edge comes from liquidity, microstructure, and behavioral timing - the stuff charts only explain after it happens.