Polymarket Central Bank Traderv0.0.3

An AI agent uses this skill to trade Polymarket markets on upcoming Fed rate decisions, exploiting the gap between CME FedWatch futures (high accuracy) and retail pricing. It applies the 'no surprise' doctrine multiplier during high-conviction windows post-meeting or in Fedspeak periods, sizing trades based on computed conviction and structural edges.

The agent trades markets on CPI or PCE inflation prints around their fixed release dates, leveraging the Cleveland Fed CPI Nowcast for near-real-time accuracy. It capitalizes on retail anchoring to prior months' data by applying the inflation tractability multiplier during release weeks for enhanced signal quality.

Using the skill, the agent speculates on year-end interest rate targets or annual cut counts by integrating public data from the Fed's dot plot and CME futures curves. It applies the year-end tractability multiplier to exploit retail inattention to these forward-looking projections, focusing on markets with clear resolution criteria.

The agent dampens exposure to markets predicting emergency rate cuts by applying the low multiplier for this question type, recognizing the historical rarity of such events. It avoids overpricing during market stress episodes like VIX spikes, adhering to the Stuxnet Rule to prevent losses from retail overreaction.

Trading markets on recession declarations, the agent accounts for the NBER's backward-looking lag by applying a reduced multiplier. It may incorporate alternative indicators like the Sahm Rule for real-time insights but focuses on markets where resolution timing aligns with predictable data cycles to mitigate uncertainty.

A firm deploys this skill in AI-driven trading bots to generate alpha from monetary policy prediction markets. Revenue comes from profit margins on trades exploiting structural edges like question tractability and calendar timing, with low overhead as no external APIs are required.

The skill is integrated into a subscription-based service that provides real-time trading signals and analysis for hedge funds. Revenue is generated through licensing fees, offering clients automated market discovery and conviction-based sizing tailored to central bank events.

An online platform uses this skill to teach advanced trading strategies focused on central bank markets. Revenue comes from course fees and premium content, demonstrating practical applications of the FOMC cycle and data calendar edges to retail and institutional traders.