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DOS/USDT Listing: A 169.58% Move in the First 44 Minutes

SnipeRadar recorded eight monitored DOS/USDT exchange listing events on August 10, 2026, with an average Radar Score of 80.9 and a peak of 97.

SnipeRadar DOS-USDT listing review showing eight events, peak Radar Score 97 and a 169.58 percent observed range
A compact view of the listing-event dataset. The observed range is historical and is not a guaranteed or necessarily executable return.
Exchange events
8
Average Radar Score
80.9
Peak Radar Score
97
Observed range
169.58%

The DOS listing concerned the ecosystem presented at dappos.com. Its official materials describe dappOS as building low-barrier AI products. Every exchange listing event in this SnipeRadar review used DOS against USDT.

Listing snapshot

DOS/USDT listing observations recorded by SnipeRadar
MetricObservation
Trading pairDOS/USDT
Listing dateAugust 10, 2026
Exchange listing events8
Average Radar Score80.9
Peak Radar Score97
Observed lowT+2 minutes
Observed highT+44 minutes
Observed low-to-high move+169.58%

The opening 44 minutes

The lowest observed price appeared two minutes after the listing reference time. The highest observed price followed at T+44, creating a 42-minute interval from the observed low to the observed high. Measured across those observations, the price range was 169.58%.

That percentage is not a claim that the move was executable from bottom to top. Early listing markets can have limited depth, wide spreads and quickly changing quotes.

What Radar Score adds

SnipeRadar recorded an average Radar Score of 80.9, with the highest reading reaching 97. Radar Score is an informational measure used to organize and compare listing events. The strong score and later price range occurred in the same monitored event, but the score should not be read as a prediction that caused or guaranteed the move.

Why multi-exchange monitoring matters

Exchange listings do not always begin at the same time, and individual venues can show different liquidity, order-book depth and early price behavior. Bringing listing events, official announcements and timing into one view makes it easier to reconstruct what happened without treating fragmented notices as one identical market.

Sources

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