What Are the Chances a Solana Meme Coin Rugs? Fixed Paper Cohort

What one fixed Solana meme coin paper cohort observed

Correction (September 2, 2026): These figures come from a fixed, strategy-selected 53-position Jul 25–Aug 2 cohort mechanically paper-executed at observed live market prices. No funded orders were placed, and simulated fills omit some latency, slippage and failure risks. See the fixed-cohort methodology and paper-execution limits.

People ask this hoping for one percentage, but this study cannot supply a universal probability. It separates a fixed screened paper cohort from broader external research:

• Unscreened new launches: the odds are ugly. Academic studies of DEX launches have estimated that the majority of new tokens are abandoned or malicious — buying a random fresh token is closer to a coin flip you lose.
• Screened modeled positions: within the fixed, strategy-selected cohort of 53 mechanically paper-executed positions (July 25–August 2, 2026), 15.1% (8 of 53 modeled positions) were rug-tagged after passing every automated check.

That 15.1% describes the fixed, strategy-selected screened paper cohort only. It shows residual risk after the specified checks, but it is not a forecast for another token or market period.

Where the fixed-cohort observations come from

The cohort was defined in advance and mechanically replayed against prices observed from live market feeds, with every decision and paper outcome logged. It did not place funded orders and therefore cannot reproduce all executable fills. Every token had passed the full safety gate: LP burned at graduation, mint and freeze authority revoked, no hostile Token-2022 extensions, holder concentration within limits, creator not blacklisted.

Screening did not remove every rug tag in this sample

Eight of the 53 paper positions were rug-tagged after screening. That demonstrates residual risk within this selected sample, not the probability that another screened token will rug. The free rug-check workflow can identify known mechanisms, but a clean contract cannot stop insiders from selling supply they control.

When rug tags appeared in this paper cohort

Within this fixed, strategy-selected paper cohort, the median rug tag occurred around 89 minutes after modeled entry near graduation, and the 90th percentile was about 10.6 hours. The small sample suggests front-loaded risk but does not establish a population-wide timing probability. The moment of maximum hype can also provide exit liquidity for insiders.

What the observed losses mean for position sizing

A rug can approach a total loss. Within the fixed, strategy-selected paper cohort, rug-tagged modeled positions closed at an average simulated -72%, and the worst went to -100%. Simulated exits may differ materially from funded fills, so the cohort result supports conservative sizing rather than a guaranteed loss estimate:

• Size for a total-loss possibility. Any position that materially harms your account when it goes to zero is too big.
• Make winners outrun rugs. A mechanical strategy needs winners large enough to offset severe losses over many observations.
• Take profit on the way up. Within the fixed, strategy-selected paper cohort, one modeled position peaked at +111% and closed at -100%; this illustrates that unrealized profit is not protection, not how positions generally behave.

How to reduce risk beyond automated screening

The 15.1% is a descriptive rate for this fixed, strategy-selected paper cohort, not a promised baseline. Apply the checks that matter most: reject serial creators, avoid concentrated supply, skip thin liquidity that makes rugs cheap to execute, and treat wash-traded volume skeptically. Paste any mint into MemeAssist to review these factors, then size for residual risk that no screen removes.