What will Kevin Warsh say during September Press Conference?

According to the latest prediction market data for the query “What will Kevin Warsh say during September Press Conference?”, traders have formed a strong consensus.

Currently, Good Day is dominating the market with an overwhelming 90.5% chance of winning. AI / Artificial Intelligence follows in second place at 90%, while Productivity sits in third with 89.5%. The betting volume for this specific market has already reached $105.3K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• Good Day (90.5%): Currently commanding the highest probability, Good Day is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 91¢, signaling a high degree of market conviction. This contract alone has generated $14.7K in volume.

🥈 Tier 2: The Primary Challengers

• AI / Artificial Intelligence (90%): Positioned as the most viable alternative, AI / Artificial Intelligence maintains a 90% chance of resolving true. Its “Buy Yes” shares currently trade at 90¢.
• Productivity (89.5%): Sitting in third place with a 89.5% probability, the market shows measured skepticism toward Productivity, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~0%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes Balance Sheet (87%), Projection (83.5%), and Inflation 20+ times (82%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Bet / Betting are still attracting notable interest.

Kevin Warsh is currently scheduled to give an FOMC Introductory Statement and press conference on September 16, 2026, at 2:30 PM ET. This market pertains to his Introductory Statement as well as the following Q&A session.

This market will resolve to "Yes" if Warsh says the listed term during the FOMC Press Conference. Otherwise, this market will resolve to "No".

If no such statement by Warsh happens by September 17, 2026, 11:59 PM ET, "-No Qualifying Event-" will resolve to "Yes" and all other brackets will resolve to "No".

The resolution source will be video and transcripts of the FOMC Press conference.

For full rules, see: https://polymarket-upload.s3.us-east-2.amazonaws.com/market_products/Mentions/Event+Mentions+Contract+DeFi.pdf

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome Software currently trades at 37%, but our AI places its Fair Value at just 22.6%. This creates a large negative EV Gap of -14.4%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Pressure as the premium value opportunity on the board. While the market only assigns it a 47.5% trading probability, our AI’s Fair Value assessment sits at 56.7% — yielding an impressive +9.2% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include Bet / Betting (EV Gap: +6.8%) and Balance Sheet (EV Gap: +5.5%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.