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Daily market read
This market is no longer in the daily monitored set.
This is the most recent Convexly read for it, as of 2026-08-23 (UTC). The read has not been refreshed since then, so later market activity is not reflected here.
Certainty reflects how much of this market we measured, not how good the market is.
Too much of the trading came from wallets we cannot yet identify, so participant-flow coverage is uncertain.
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Composite 53 · Do not cite
Measurement certainty
Low
1 measured · 3 modeled · 2 not assessed
Certainty reflects how much of this market we measured, not how good the market is.
No full-provenance CME signal is linked to this condition in the current ledger window; absence of a signal is not proof of coherence.
A separate preview read: this market's book quality relative to peers at the same time-to-close and price range. It does not feed the Market Trust rating above.
Peer group: markets 1-7 days to scheduled close, priced within 10c of a boundary. As of 2026-08-24 (UTC).
Quoted spread is tighter than ~88% of horizon-matched peers.
Order-book depth is deeper than ~67% of horizon-matched peers.
Peer cell: 168 markets, 258 market-day observations, trailing 28 days (2026-07-27 to 2026-08-23).
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 according to the company that owns the model that has the highest arena rank among primarily Chinese companies, based on the arena.ai Text Arena (Overall) when the table under the "Leaderboard" tab is checked on August 31, 2026, 12:00 PM ET. Chinese Companies include but are not limited to Alibaba, Moonshot, Baidu, Z.ai, Xiaomi, DeepSeek, Bytedance, MiniMax, Meituan, Tencent, and StepFun. Companies not headquartered in China or not primarily owned or operating within the Chinese technology ecosystem are not considered primarily Chinese. Results from the "Rank" column under the "Text Arena | Overall" Leaderboard tab at https://arena.ai/leaderboard/text/overall-no-style-control with style control off (Adjustments: None) and filtered for "Models" will be used to resolve this market. Qualifying Chinese Models will be ordered primarily by their leaderboard rank at the market’s check time. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie still remains, alphabetical order of company names as listed in this market group will be used as a final tiebreaker (e.g., if the two models are tied by exact arena score, “Meituan” would be ranked ahead of “Xiaomi”). This market will resolve based on the company that occupies first place under this ranking. The resolution source for this market is the arena.ai Text Arena (Overall). If this resolution source is unavailable at check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If it becomes permanently unavailable, this market will resolve to "Other".
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.
Sign in to see recent trades our collectors observed here: side, size, price, and time for every recorded fill.
Create a free accountNone of the wallets in Convexly's provably-complete set has been observed trading this market. That is a statement about this set's observed footprint, not about who trades here.
Check any Polymarket wallet →Quote it verbatim. The number and how the set was chosen travel together; the method is frozen and the per-wallet table is public.
Convexly rates this polymarket market "Will Alibaba have the best Chinese AI model at the end of August 2026?" as Do not cite, as of 2026-08-23 (UTC).
Per Convexly Market Trust, the polymarket market "Will Alibaba have the best Chinese AI model at the end of August 2026?" is rated Do not cite as of 2026-08-23T22:45:49.538Z (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/will-alibaba-have-the-best-chinese-ai-model-at-the-end-of-august-2026-20260717004241593
Canonical URL: https://www.convexly.app/markets/will-alibaba-have-the-best-chinese-ai-model-at-the-end-of-august-2026-20260717004241593
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.
Participant flow inputs exist but do not meet identity-coverage floors; descriptive only.
One or more screen indicators flagged at a low level. A reason to look, not a finding about anyone.
3 linked artifacts; 0 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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