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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Composite 48 · Do not cite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.
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 "Silver (XAGUSD) Up or Down on September 1?" as Do not cite, as of 2026-09-01 (UTC).
Per Convexly Market Trust, the polymarket market "Silver (XAGUSD) Up or Down on September 1?" is rated Do not cite as of 2026-09-01T11:15:11.351Z (UTC).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/xagusd-up-or-down-on-september-1-2026
Canonical URL: https://www.convexly.app/markets/xagusd-up-or-down-on-september-1-2026
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.
This market will resolve to "Up" if the Close price for Silver (XAGUSD) on September 1, 2026 is higher than the Close price for Silver (XAGUSD) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Silver (XAGUSD) on September 1, 2026 is lower than the Close price for Silver (XAGUSD) on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless Friday were not a trading day under the applicable trading-hours schedule, in which case it would refer to the next most recent prior trading day. If the two specified closing prices are exactly equal, this market will resolve 50-50. Closing prices will be used exactly as published by Pyth, without rounding. If Silver (XAGUSD) does not trade at all during the relevant trading session, the market will resolve 50-50. Trading days will be determined according to the applicable trading-hours schedule as listed on Pyth. Under the standard schedule, trading is open from 6:00:00 PM ET Sunday through 5:00:00 PM ET Friday, with a daily break from 5:00:00 PM ET to 6:00:00 PM ET, except where modified by holiday or special-session hours trading-hours as listed on Pyth. If a listed date is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50. For each trading day, the closing price refers to the Pyth "Close" value of the 1-minute candle timestamped 4:59 PM ET on that date. If either of the relevant days has no valid Pyth Close value for the 1-minute candle timestamped 4:59 PM ET, the market will use the last valid Pyth price achieved prior to 4:59 PM ET during that trading day as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the closing price for that day may be determined using the official daily close price of the CME COMEX Silver Futures (SI) futures contract for that trading day. Only prices achieved during the applicable trading session will be considered. In the event of a contract specification change, feed change, or similar structural modification affecting the market during the listed time frame, this market will resolve based on adjusted prices as displayed on Pyth. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle available at https://pythdata.app/explore/Metal.XAG%2FUSD. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter.
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