Blog
Prediction market analysis, strategies, and research. 5 articles.
We Let an LLM Agent Autonomously Manage Kalshi Positions — Here's Its Architecture
Portfolio Autopilot runs on a configurable schedule, reads live market data, evaluates positions against operator-defined convictions, and trades within mechanically enforced risk limits. It's been running in production on real capital.
How to Build an OpenClaw Prediction Market Bot with SimpleFunctions
A step-by-step technical guide to connecting OpenClaw agents with live prediction market data from Kalshi, Polymarket, and Databento — without writing a single scraper.
MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket
Prediction markets are the sharpest source of real-time probability data on the internet. Here is how to wire them directly into your AI coding agent with one command.
How to Build a Prediction Market Trading Bot in 2026
Binary outcomes, event-driven markets, and settlement dates make prediction market bots fundamentally different from anything you've built for stocks or crypto. Here's how to architect one that actually works.
AI Regulation 2026: Global Policy Scenarios and How to Trade Them on Prediction Markets
EU, US, and China are racing to lock in AI rules by 2026—creating asymmetric risks and opportunities. This outline maps the key governance regimes, safety standards, and open‑source debates, then translates them into concrete AI regulation 2026 global policy prediction markets and trading setups.