Which bank will lead OpenAI's IPO?
Goldman Sachs
Super Match links compatible published offers for Which bank will lead OpenAI's IPO from Polymarket and Kalshi. Each named outcome remains separate so an offer is never attached to the wrong choice. Open the original markets to confirm the latest price, wording, deadline and settlement rules.
Each row is a separate named outcome. The indicative midpoint is the centre of the YES range across compatible sources; it is not a guaranteed executable price and the displayed candidates may not form a complete 100% book.
Comparable outcome field
| Outcome | Midpoint | YES range | Best YES | Sources | Review |
|---|---|---|---|---|---|
| Goldman SachsWhich bank will lead OpenAI's IPO? - Goldman Sachs | 77.5% | 76.0%–79.0% | YES 76.0% Polymarket ↗ | ||
| Morgan StanleyWhich bank will lead OpenAI's IPO? - Morgan Stanley | 23.0% | 23.0%–23.0% | YES 23.0% Polymarket ↗ | ||
| CitigroupWhich bank will lead OpenAI's IPO? - Citigroup | 1.7% | 0.3%–3.0% | YES 0.3% Polymarket ↗ | ||
| Bank of AmericaWhich bank will lead OpenAI's IPO? - Bank of America | 1.3% | 1.0%–1.6% | YES 1.0% Kalshi ↗ |
What matches — and what may differ
What matches
- Super Match has published these source markets under the same comparison proposition.
- The displayed outcome or contract is linked back to the original platform evidence.
- The comparison includes at least two supported platforms in the active publication.
What may differ
- Eligibility, fees, limits, deadlines and settlement procedures can remain platform-specific.
- Displayed values may have changed since this catalogue snapshot was produced.
Original markets and contract wording
Rules may differ. The source pages below are the definitive evidence for wording, eligibility, closing time and settlement.
Lead Bank in OpenAI's IPO?
- Closes
- 31 Dec 2027
- Quote type
- Source order-book offer
Which bank will lead OpenAI's IPO?
- Closes
- 1 Jan 2028
- Quote type
- Source order-book offer
Displayed values are source observations captured for the publication and may include executable-style offers or platform-reported indicative probabilities. They may have changed since observation. Apparent differences do not establish that transactions could be executed simultaneously or profitably. Contract wording, eligibility, fees, limits and settlement processes remain platform-specific.
Outcome-level source ranges
Outcome ranges and best source values are shown in the Summary table above so each named contract remains aligned with its source evidence.
How this science and technology prediction market was compared
For Which bank will lead OpenAI's IPO, Prediction Market Radar aligned compatible source markets from Polymarket and Kalshi around the same scientific or technological milestone. Each named outcome is retained separately so prices are not attached to the wrong outcome. Differences may still reflect new evidence, technical definitions, announcement timing and market depth. Before acting, verify milestone definition, measurement standard, deadline and authoritative source on every source platform.
- Topic
- Technology
- Participating platforms
- PolymarketKalshi
- Outcomes
- 4
What Super Match checks
Super Match keeps source wording, outcomes, deadlines and settlement evidence attached to each offer. Similar headlines are not treated as equivalent when those details conflict.