Key Learnings
- 01Under 2% DEX liquidity to market cap: 26.7% observed 24-hour death rate (n = 648), versus 15.6% in the full resolved cohort.
- 02From 2% to under 5%: 3.6% observed 24-hour death rate (n = 469); survivors had a median 24-hour return of −2.8%.
- 03Under-2% survivors had a median 24-hour return of 0.0%; medians exclude tokens classified as dead.
- 04Cohort: 3,779 resolved, signal-captured outcomes from tokens submitted to or discovered by MemeAssist, July 22–August 24, 2026.
What this cohort showed
This analysis describes 3,779 resolved 24-hour outcomes with analysis-time signals captured from July 22 through August 24, 2026. Tokens entered the tracker because users submitted them to MemeAssist or MemeAssist discovered them; this was not a random sample of Solana tokens. We grouped records using the liquidity-to-market-cap flags present when each token was analyzed.
| DEX liquidity vs market cap | Tokens | Dead within 24h | Median 24h return (survivors) |
|---|---|---|---|
| Under 2% | 648 | 26.7% | 0.0% |
| 2% to under 5% | 469 | 3.6% | −2.8% |
| Whole tracked cohort (comparison) | 3,779 | 15.6% | −3.3% |
The under-2% band had a higher observed death rate than the full resolved cohort. The 2%–under-5% band had a lower observed death rate than both. Among survivors, median returns were 0.0% and −2.8%, respectively, compared with −3.3% across all cohort survivors. These are descriptive results only. They do not show that a liquidity ratio caused an outcome, that any individual token could or could not be sold, or that moving across a band changes risk by the reported amount.
Why the bands are not risk thresholds
The non-monotonic pattern—26.7% under 2%, then 3.6% from 2% to under 5%—is a reason for caution, not a basis for labeling one band dangerous and another healthy. Band membership may differ with token age, size, launch stage, creator behavior, and the market regime at analysis time. Submission and discovery pathways can also select different kinds of tokens. Repeated analyses of the same token or creator may make observations less independent than the row count suggests. These factors were not controlled for, so association must not be read as causation.
A liquidity-to-market-cap ratio also cannot guarantee execution. Sellability depends on trade size, pool design and composition, route availability, slippage, fees, token restrictions, and conditions at the moment of sale. See the separate guides to liquidity and sell failures for those concepts; this study does not validate a prescriptive cutoff.
"In this non-random cohort, the under-2% liquidity band had a higher observed 24-hour death rate than the cohort overall; the result is an association, not a universal cutoff."
Inclusion, outcomes, and missing data
Included: submitted or discovered Solana-token analyses in the stated period that had analysis-time risk signals and a resolved 24-hour outcome. The under-2% band contains 648 resolved records, the 2%–under-5% band 469, and the full comparison cohort 3,779. The comparison is not a curated above-5% or “healthy” group.
Outcome treatment: “dead” means the tracked market stopped quoting entirely within 24 hours. Dead records are a subset of resolved outcomes and were counted in the death-rate numerator. Other resolved records form the survivor group used for median returns. Records labeled no_data, pending, or otherwise unresolved were excluded from the 3,779 denominator and from survivor-return medians. Exact counts for those unavailable outcome categories were not retained with this analysis extract, so we cannot report them. That missingness may be informative: tokens that become difficult to quote or track may be more likely both to lack an outcome and to have poor outcomes. Excluding them can therefore bias rates in an unknown direction.
Excluded: records without captured analysis-time signals and records without a resolved 24-hour outcome. This analysis has no public row-level export, and the underlying token records and market observations were not manually source-verified one by one.
Uncertainty and generalizability
We did not calculate confidence intervals, conduct significance tests, or fit adjusted models. The percentages and medians therefore carry unquantified sample uncertainty, and apparent differences may reflect sampling variation or confounding. The narrow calendar window may capture a particular market regime. Because selection was non-random and limited to MemeAssist submissions and discoveries, these findings should not be generalized to all Solana tokens, other chains, other periods, or future outcomes without further study.
Frequently asked questions
Does this study establish a safe liquidity-to-market-cap ratio?
No. It reports associations in a non-random cohort of MemeAssist-submitted or -discovered tokens from July 22 through August 24, 2026. The bands are not validated safety thresholds and do not guarantee sellability.
What was observed in the under-2% liquidity band?
Among 648 resolved records in that band, 26.7% were classified as dead within 24 hours, compared with 15.6% across all 3,779 resolved cohort records. Under-2% survivors had a median 24-hour return of 0.0%. No causal conclusion or individual execution claim follows from those figures.
Was the 2%–under-5% band safer?
It had a lower observed 24-hour death rate in this cohort: 3.6% among 469 resolved records, with a −2.8% median return among survivors. Confounding, selection, missing outcomes, and sample uncertainty prevent interpreting that association as proof of safety.
How was this study measured?
The cohort contains 3,779 resolved 24-hour outcomes with analysis-time signals for tokens submitted to or discovered by MemeAssist from July 22 through August 24, 2026. Dead outcomes contribute to death rates; other resolved outcomes contribute to survivor medians. No_data, pending, unresolved, and signal-missing records were excluded. Their exact counts were not retained in this extract, no public row-level export is available, and records were not manually source-verified one by one.
How certain and generalizable are the results?
Confidence intervals and significance tests were not calculated. Token age, size, launch stage, creator, market regime, and repeated token or creator analyses may confound the results. Because the cohort was non-random and period-specific, the findings may not generalize to other tokens, chains, or dates.
Sources & further reading
Related guides
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The 24-Hour Survival Study
A 5,014-token Solana study reports 24-hour survival by market-cap band, with exact cohort rules, missing-data treatment and key limitations.
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Minimum Liquidity Before You Buy
Paper-sample observations by Solana liquidity band, their selection limits, and an exit-first sizing rule for thin and unusually large pools.
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Why You Can't Sell Your Solana Token
Can't sell a Solana token? Six causes ranked by how often our live screening engine catches each — transfer hooks, freeze authority, drained pools and more.
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Holder Concentration Outcomes
Descriptive 24-hour outcomes by holder-concentration band in a non-random cohort of 3,779 Solana tokens observed from July 22 to August 24, 2026.
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