For many mainstream crypto assets, on-chain data primarily helps verify:
However, in the meme market, on-chain behavior itself represents the core market activity.
This is because:
Therefore, understanding meme markets requires observing on-chain behavior patterns rather than relying solely on price charts.
In the meme market, chain scanning refers to identifying potential meme opportunities by monitoring new tokens, capital inflows, and trading activities in real time.
Typical chain scanning behaviors include:
The objective is simple: Enter before sentiment spreads widely.
On-chain participants typically fall into two groups.
Their trading often determines whether a Meme can advance to the next stage.
On-chain, these two participant types show clearly different behavioral rhythms, forming the most typical game structure in the Meme market.
Sentiment games aren’t shown in slogans or community atmosphere but directly reflected in these on-chain signals:
These actions aren’t deliberate coordination but the natural spread of sentiment within the group.
Compared with mainstream assets, the game rhythm in the Meme market is significantly faster due to:
This leads participants to:
In this environment, on-chain behavior itself becomes one of the earliest signals of sentiment shifts.
It’s important to emphasize that on-chain behavior does not equate to deterministic conclusions. Common misunderstandings include:
In the Meme market, on-chain data is more for understanding structure—not for predicting outcomes.
Gate DEX integrates tools like MemeGo, Trackers, and Gate Fun. In a Meme market cycle, “chain scanning” isn’t just about tracking prices—it’s about using these tools to quickly spot new token launches, capital inflow timing, and how market sentiment is gathering. Each tool corresponds to a different phase: discovery, confirmation, and sentiment assessment.
MemeGo aggregates information about newly emerged Meme tokens. On the MemeGo page, learners should focus first on lists like “newly created tokens” or projects with recently rising trading activity. The key at this stage isn’t to judge quality but to narrow the observation scope.
Common actions include:
MemeGo is best suited for the discovery stage before chain scanning.

Image: https://web3.gate.com/trackers
Once you’ve identified observation targets, Trackers’ core function is to let you customize tracking of key on-chain addresses’ behavioral changes—not just look at all transaction records broadly. With Trackers, learners can continuously monitor buy/sell activity and holding changes among Smart Money, KOLs, and Diamond Hands wallets.
Key dimensions when using Trackers:
When multiple key wallets show similar buy actions in a short timeframe on Trackers, it usually signals market consensus forming. Such on-chain signals often precede sharp price moves but may also indicate risks of subsequent sentiment amplification. Thus, Trackers are best for behavior confirmation and risk assessment during chain scanning.

Image: https://web3.gate.com/gatefun?tab=explore
Gate Fun is Gate DEX’s Meme launchpad for creating, launching, and early trading of new Meme projects. In the Meme market cycle, Gate Fun doesn’t correspond to secondary market chasing but is where sentiment and capital first take effect. Through Gate Fun, learners can see which Memes are being rapidly created, whether participant numbers are concentrating quickly, and if early trading shows obvious asymmetry. For example, if buy address counts rise quickly but trade sizes remain small in early launch stages, retail sentiment is likely building; if a few addresses occupy large shares early on, beware of concentration risks.
Compared with MemeGo and Trackers, Gate Fun focuses more on “participation structure” than price trends. It’s suitable for judging whether a Meme project is in sentiment cold start, acceleration phase, or has entered a high-risk overheated stage. Thus, Gate Fun is best for launch observation and early risk identification before and after chain scanning—not as a trend confirmation tool.
With this combination, learners focus not on “can I profit,” but rather whether the high-risk zone is approaching—one of the most crucial skills in Meme education.