How we identify probability mispricings in US macro Polymarket markets.
Polymarket is a prediction market where each YES/NO contract trades between 0¢ and 100¢. The price reflects the collective implied probability that the event resolves YES. A contract at 30¢ means the market assigns a 30% probability to a YES resolution.
Our approach compares this implied probability against an independent fundamental estimate based on official data. When the gap is wide enough (≥ 8–10 percentage points) and conviction is high, a theoretical trade opportunity exists.
All US Macro markets on Polymarket are extracted daily. We retrieve the current price, expiry date, and exact contract definition.
For each market, we source relevant public data: BLS releases, Fed projections, nowcasting models, professional economist consensus (Philadelphia Fed SPF, Wall Street forecasters).
We build a probability distribution from available data, weighting different scenarios (base case, upside, downside) and accounting for known biases. This estimate is subjective and fallible.
We only act when the gap exceeds a minimum threshold (typically 8–10pp) to absorb estimation uncertainty and transaction costs. The rule: buy NO if fair value < market price − margin.
Each opportunity is scored on 4 criteria: gap size, conviction level (confidence 1–10), liquidity ($24h volume), and resolution clarity (precise date and data source).
Stakes are sized daily using a Kelly Criterion framework. The raw Kelly fraction is computed for each position, then adjusted for liquidity and confidence before being normalized to the total portfolio budget.
Three adjustments are applied to the raw Kelly fraction before allocation:
Adjusted scores are normalized to the total portfolio budget ($1,000), rounded to the nearest $25, with a minimum of $25 per position. The portfolio is rebalanced daily as market prices move.
MacroPilot AI is an academic analysis tool. Published analyses do not constitute investment advice in any way. All trades on Polymarket carry risk of capital loss. Estimated probabilities are opinions that may be wrong.