Key Learnings
- 01Eight of 53 tokens in the fixed, strategy-selected Jul 25–Aug 2 mechanically paper-executed Pump.fun cohort were classified as rugs after automated safety screening; this is not a market-wide incidence estimate.
- 02In the fixed strategy-selected paper cohort, median modeled time from paper entry near graduation to rug classification was ~89 minutes; the 90th percentile was ~10.6 hours.
- 03In the fixed strategy-selected paper cohort, median modeled hold time across all 53 paper positions was under 15 minutes.
Where this data comes from
Correction — September 2, 2026: The prior execution label could imply real-capital execution. The 53 positions were mechanically paper-executed using observed live market prices between July 25 and August 2, 2026; no capital was deployed. See the full cohort methodology and limits.
Every token in the paper cohort had already passed the strategy's full safety gate: LP burned at graduation, mint and freeze authority revoked, no hostile Token-2022 extensions, holder concentration within limits, creator wallet not blacklisted. These were strategy-selected screening survivors, not a representative sample of tokens.
How fast Solana meme coins rug: the headline numbers
- The fixed strategy-selected paper cohort contained 53 mechanically paper-executed positions on freshly graduated Pump.fun tokens
- In that fixed paper cohort, 8 tokens were classified as rugs after passing the strategy's checks; this is a within-cohort share, not a population rug rate
- In that fixed paper cohort, 30 of 53 modeled positions (57%) had positive gross paper outcomes; the rest hit paper stops or decayed
- In that fixed paper cohort, median modeled time to rug classification was ~89 minutes from paper entry near graduation
- In that fixed paper cohort, 90th-percentile modeled time to rug classification was ~10.6 hours
- In that fixed paper cohort, median modeled hold across all positions was ~15 minutes
"In the fixed, strategy-selected Jul 25–Aug 2 mechanically paper-executed Pump.fun cohort, median modeled time to rug classification was ~89 minutes."
What does this mean if you trade the trench?
1. Screening filters scams; it doesn't eliminate them
The 8 rug classifications show that screening did not eliminate severe outcomes in this selected cohort. They do not establish a 15% post-screening rug rate for the broader market. Everything in the rug-spotting checklist remains worth doing, but no checklist gets risk to zero because a clean contract cannot stop insiders from dumping supply they secretly coordinate.
2. The first two hours are the kill zone
In the fixed strategy-selected paper cohort, half of the modeled rug classifications occurred within ~90 minutes of paper entry near graduation. This selected observation does not establish a universal risk window; later rugs remained possible, including a paper-cohort classification more than 10 hours after entry.
3. Size for a total loss
A rug can mean a near-total loss of position. Because the cohort does not establish a population incidence or executable return distribution, use position sizing that can withstand a total loss rather than anchoring to its 8-of-53 share.
4. Speed beats conviction
The fixed strategy-selected paper cohort's 15-minute median modeled resolution supports frequent monitoring within that workflow, not a universal holding rule. Set alerts on liquidity drops and top-holder movements, use a pre-committed exit process, and treat failed-sell reports from other wallets as urgent warnings.
What the rugs had in common
Post-mortems on the 8 rug classifications in the fixed strategy-selected paper cohort showed patterns the screening workflow now scores more conservatively:
- Copycat launches — tokens riding another coin's name/ticker within minutes of it trending. Rug factories A/B test narratives; the copies rug faster than the originals.
- Wash-traded volume — vendor volume numbers inflated by self-trading to look organic. High wash ratios trigger rejection in the screening workflow.
- Thin real liquidity — pools where a single mid-size sell moves price double digits. Thin pools make rugs cheap to execute.
All three are now part of MemeAssist analyzer scoring, alongside the contract-level checks and holder intelligence.
Methodology: how we measured rug speed
Paper entries were recorded near pump.fun graduation using observed live market prices; paper exits followed a mechanical take-profit / stop-loss / rug-detection ruleset with no manual overrides. “Rugged” means a classified terminal event — liquidity drained, insider supply dumped to near-zero, or sells blocked — not merely a drawdown. The strategy-selected sample is a fixed 53 positions over nine days, July 25–August 2, 2026. Paper execution does not capture failed fills, fees, slippage or market impact, so outcome figures are not executable net returns.
Frequently asked questions
What percentage of Solana meme coins rug?
This cohort cannot estimate the percentage of all Solana meme coins that rug. Eight of 53 strategy-selected, screened tokens were classified as rugs in a mechanically paper-executed July–August 2026 sample; that small fixed cohort is not a market-wide rate.
How long after launch do most rug pulls happen?
In the fixed, strategy-selected Jul 25–Aug 2 mechanically paper-executed Pump.fun cohort, median modeled time to rug classification was about 90 minutes after paper entry near graduation, and 90% of modeled classifications occurred within roughly 10.6 hours. This does not establish a universal risk window.
Does passing a rug checker mean a token is safe?
No. Rug checkers address some contract-level vectors, but insiders can still dump concentrated supply. Eight of 53 screened tokens in this selected paper cohort were classified as rugs; use screening alongside conservative sizing and an exit plan.
How big should a meme coin position be?
Small enough that a 100% loss does not materially damage your account. This cohort does not provide a market-wide rug incidence or executable return distribution, so it should not determine position size.
Was real capital deployed in this cohort?
No. The positions were mechanically paper-executed using observed live market prices and logged rules. No capital was deployed, and the paper results omit failed fills, fees, slippage and market impact.
Sources & further reading
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