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Daily market read
Certainty reflects how much of this market we measured, not how good the market is.
Some quality checks are missing complete source receipts, so the rating is held back until they fill in.
Use only as a review target. Current-card issues must clear before this price is used as evidence.
The diligence packet carries the memo language, audit chain, and the Markdown, PDF, and JSON exports for this market.
Open the diligence packetWhy this rating
Composite 41 · Do not cite
Measurement certainty
Low
2 measured · 2 modeled · 2 not assessed
Certainty reflects how much of this market we measured, not how good the market is.
7 full-provenance Coherent Markets Engine signals linked to this condition; 41 price-observation checkpoints recorded.
Resolution rules
Rules as stated by Polymarket, reproduced verbatim. Convexly has not independently reviewed them and does not endorse them; the rating's resolution-reliability pillar treats rule text as present but not independently reviewed.
This market will resolve to “Yes” if the official closing price for OpenAI's market capitalization on its first trading day is above the listed value. Otherwise, it will resolve to “No”. If no IPO occurs by December 31, 2027, 11:59 PM ET, this market will resolve to “No”. Market capitalization is defined as the total number of outstanding shares multiplied by the closing share price on the first trading day. Resolution will be based on the primary exchange’s official listing page. In the event that the relevant figure is not displayed, another reliable source will be used. In the event of an interruption in the course of the normal trading session on OpenAI's first day of trading (e.g., a circuit breaker or half-day), the market will resolve according to the official closing price of the abbreviated session. If no such official closing price is published, the market will resolve according to the next trading day on which an official closing price is published, treating that as the first day of trading.
Experimental rating caveat
Market Trust Cards are experimental market-quality diagnostics, not compliance certifications or validated credit ratings.
What travels with this read
Market Trust is a canary preview: verdict cutpoints are operator-set, and each read is a dated, descriptive diagnostic of market quality, not a prediction of the outcome and not a claim about what the probability should be. A prospective calibration test is filed and matures on resolved outcomes.
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Create a free accountQuote it verbatim. The number and its bound travel together; the method is frozen and the per-wallet table is public.
Convexly rates this polymarket market "OpenAI IPO closing market cap above $800B?" as Do not cite, as of 2026-08-10 (UTC).
Per Convexly Market Trust, the polymarket market "OpenAI IPO closing market cap above $800B?" is rated Do not cite as of 2026-08-10T01:01:02.361Z (UTC). The rating describes whether the quoted market price was a clean enough data object to cite at that timestamp. This citation is market diligence, not investment advice, not a trading instruction, not a forecast, and not proof that the market probability is correct. Daily read: https://www.convexly.app/markets/openai-ipo-closing-market-cap-above-800b
Canonical URL: https://www.convexly.app/markets/openai-ipo-closing-market-cap-above-800b
Boundary of this page
This daily read is market diligence, not investment advice, not a claim of absolute truth, and not proof that any trader should buy or sell. It answers whether this market price had enough substrate to cite, monitor, discount, or ignore at the as-of timestamp, with receipts attached in the diligence packet.
Executability scored as worse-of(spread, depth) from a single orderbook snapshot; the two were merged from the former liquidity + depth pillars to stop double-counting one correlated source.
Resolution source and rule text are present but not independently reviewed.
No participant flow rollup materialized yet.
No participant concentration rollup materialized yet.
3 linked artifacts; 1 missing hashes; 0 stale/failing sources.
How it adds up: composite = Σ(score × weight) / Σ(weight) across measured + heuristic pillars only. Pending and data-rights-blocked pillars are excluded from both numerator and denominator. Total contributing weight = 70.0.
Caveat: 2 pillars not assessed yet; the score will recompute as the substrate fills in.
Convexly is independent and is not affiliated with or endorsed by Polymarket or Manifold. Wallet and market data are derived from publicly available venue sources.
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