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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Composite 48 · Do not cite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.
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.
Netflix is expected to update its Top 10 movies list on top10.netflix.com on Tuesday, August 25, 2026, 3:00 PM ET, reflecting viewership from the previous week (Monday to Sunday). This market will resolve based on which movie this update ranks as the #1 US Netflix movie. If multiple movies tie for #1, this market will resolve according to the movie whose listed title comes first alphabetically. The ranking is based on total views in the United States, as reported by Netflix for US Top 10 Movies. If the top10.netflix.com update does not occur by August 28, 2026, 11:59 PM ET, 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.
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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 "Don’t Say Good Luck" be the top US Netflix movie this week?" as Do not cite, as of 2026-08-24 (UTC).
Per Convexly Market Trust, the polymarket market "Will "Don’t Say Good Luck" be the top US Netflix movie this week?" is rated Do not cite as of 2026-08-24T03:30:55.255Z (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-don-t-say-good-luck-be-the-top-us-netflix-movie-this-week-1787152788416
Canonical URL: https://www.convexly.app/markets/will-don-t-say-good-luck-be-the-top-us-netflix-movie-this-week-1787152788416
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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