How to spot a rug pull before you buy
A rug pull fails in seconds: liquidity disappears or insiders dump, and the chart goes vertical in the wrong direction. You cannot rule one out, but four warning signs catch the most obvious setups.
The three common types of rug pull
- Liquidity pull. The creator removes the liquidity, so there is nothing left to sell into.
- Insider dump. Early wallets sell a large share of supply into buyers who arrived on hype.
- Permission abuse. The creator mints new supply or freezes holders so they cannot sell.
Four warning signs
- Active token permissions. Mint or freeze authority that has not been revoked. Covered in Token permissions.
- Thin or unlocked liquidity. Liquidity that can be withdrawn, or is too small to exit through. Covered in Why liquidity matters.
- Concentrated holders. A few wallets, often funded from one source, holding much of the supply. Covered in Holders and concentration.
- Manufactured hype. Paid callers, countdowns, and pressure to buy now. Covered in Social hype and scams.
Limit the damage you cannot prevent
No checklist catches everything, so size every meme coin position as if it could go to zero, and decide your exit before you enter.
Frequently asked questions
- What is a rug pull in crypto?
- A rug pull is when a token's creators or large holders suddenly remove liquidity or sell their holdings, collapsing the price and leaving other holders with tokens they cannot sell for anything close to what they paid.
- Can you tell if a meme coin will rug?
- Not with certainty. Warning signs such as active mint or freeze authority, unlocked liquidity, and heavy holder concentration raise the odds, but tokens that pass every check can still collapse.
- What should I do if I got rugged?
- Stop adding funds to the token, ignore anyone offering to recover your money for a fee (a common follow-up scam), and review which warning signs you missed.
More meme coin trading guides
Learn it properly: Risk checks
Token permissions, holder concentration, and the social signals that often precede a scam. This guide covers the basics; the course module walks through each step on a worked example, with interactive demos.
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