I built 13 AI agents that trade Kalshi prediction markets 24/7 — here's how it works

📰 Dev.to · Ryan Gillett

Learn how to build AI agents that trade prediction markets 24/7 and explore the potential of automated trading

advanced Published 22 Apr 2026

Action Steps

Build a Kalshi account to access prediction markets
Configure an AI agent using a framework like Python and scikit-learn to make trading decisions
Train the agent using historical market data to optimize its performance
Deploy the agent to trade 24/7 using a scheduling tool like Apache Airflow
Monitor and evaluate the agent's performance using metrics like profit and loss

Who Needs to Know This

Quantitative traders, AI engineers, and data scientists can benefit from this knowledge to build and improve their own automated trading systems

Key Insight

💡 Automated trading using AI agents can potentially increase trading efficiency and profitability