Meme coins that reached centralized exchanges after BONK’s December 2023 debut typically found their all-time highs within weeks, then spent far longer declining from those peaks, according to a quantitative review of 150 tokens. The study calculated a median of 17.2 days from a coin’s first trade to its all-time high, while the median time from that high to a 95% drawdown was 370 days.
The figures describe a market in which the initial price-discovery phase is compressed, while the losses following a peak can persist for roughly a year. One-quarter of the sampled coins reached their all-time high within 1.6 days of their first recorded trade, leaving little time for traders to distinguish an early surge from a durable market.
The review used three points to define each token’s lifecycle: its first exchange trade, its all-time high, and a “crash,” defined as a 95% drop from that high. It applied the Kaplan–Meier estimator, a survival-analysis method commonly used to model the time before an event occurs, to estimate typical paths across coins that had not all reached the same stage by the time of measurement.
Most sampled tokens had already suffered steep declines
More than half of the tokens in the sample were already trading at least 95% below their own all-time highs when the review was conducted. Only 19% had avoided a 90% drawdown from peak levels.
The performance results were similarly harsh when measured against launch-period pricing. In a related section covering 151 tokens, only five were trading above their first-day price at the time of observation. By the 300th day after launch, most tokens were worth about 10% of their initial value, according to the review.
That comparison gives a different view from the more familiar all-time-high drawdown statistic. A token can remain substantially above its issuance price even after a severe retreat from a short-lived peak. Yet the review’s first-day analysis suggests that relatively few of the sampled coins retained gains over a longer holding period.
The report’s data point toward a market shaped by brief periods of intense attention rather than sustained price support. A rapid move to an all-time high may attract liquidity and social-media interest, but the record price also becomes a difficult reference point to reclaim once early holders begin selling and attention shifts elsewhere.
Solana-era sample shows one-run price patterns
For coins launched during what the report described as the Solana-era wave, half completed the entire path from first trade to all-time high and then to a 95% drawdown within 456 days. By day 1,000, around 90% had fallen 95% from their peak, according to the study.
The review also found that two-thirds of Solana-era meme coins failed to produce a second major rebound after their initial rise. That pattern challenges the assumption that a sharp post-launch decline necessarily creates a later recovery opportunity. In many cases, the first burst of trading activity appears to have been the token’s defining market event.
Among the five largest coins by market capitalization from the same period, TRUMP, PUMP and PENGUIN were trading below their issuance prices based on the figures in the report. The finding illustrates that large market capitalization alone did not shield a token from falling below its early trading level.
Market capitalization can also be especially sensitive in meme coins, where a comparatively limited amount of actively traded supply may establish the last traded price used to calculate the headline valuation. A large nominal valuation therefore does not necessarily indicate that a token has a broad or stable base of buyers at higher prices.
Address activity fell after initial peaks
The review paired the price data with on-chain activity for Solana tokens, tracking addresses holding at least $1 of a given coin. For the leading tokens measured, retained active addresses after the peak in activity were below 7% of their peak count.
That drop in active participation adds a behavioral dimension to the price results. A declining holder-address count does not by itself determine future prices, since wallets can consolidate holdings or move assets between accounts. But a retention rate below 7% indicates that the user activity surrounding the initial trading phase largely did not persist in the measured tokens.
Meme coin launches can create unusually concentrated bursts of participation because issuance is cheap, trading access is immediate and narratives spread quickly across social platforms. The review’s address data suggest that much of this participation can be temporary, with fewer wallets remaining engaged after the first major price cycle has passed.
Dataset favors coins that reached centralized venues
The dataset came from Talos market data and included meme coins with price information available on at least one centralized exchange. The authors said that selection rule favors relatively more established tokens and excludes many assets traded only through token-issuance tools, including shturl.c and PONS.
That limitation means the findings do not represent every meme coin created during the period. Many tokens that remain confined to decentralized launch platforms may have shorter trading histories, lower liquidity or no reliable market-data record suitable for the same analysis. Including them could change the estimated timing of peaks and drawdowns.
The report also cautioned that its 95% crash definition was an analyst-selected threshold rather than a universal market standard. A less severe or more severe drawdown threshold would produce different median lifecycle estimates. Measuring current prices against all-time highs also tends to make losses appear particularly large because an all-time high is known only after the fact and may have existed briefly.
Even with those qualifications, the review presents a clear picture of how quickly the sampled market moves: prices often reach their maximum early, while the subsequent decline can remain unresolved for months. For traders assessing new meme coin launches, the data place greater weight on liquidity, holding activity and the durability of demand than on the speed of an initial rally alone.
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