Token Behavior Tracking

Not all tokens behave the same. Some are slow burns. Some spike and rug. Some are bought by insiders only. Forge can identify these patterns by analyzing a token’s lifecycle from creation to sell-off.

This page covers how Forge tracks token behavior over time and how agents detect trends, risk factors, and unusual movements.

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What Is Token Behavior?

Token behavior refers to the patterns that emerge after launch:

• How fast volume builds

• Who’s buying and when

• If LP is manipulated

• When and how early wallets sell

• Whether social metadata is used to bait entries

• If it’s being farmed by repeat wallets

Forge tracks this behavior in real-time and uses it to help agents answer questions like:

• “Is this token being botted?”

• “Does this look like an organic launch?”

• “Any signs of insider trading?”

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What Forge Looks For

Each token is continuously scored across several dimensions:

Launch Quality

• Was LP added in a normal time window?

• Was ownership renounced?

• Did the deployer join Telegram groups before launch?

Buy Pattern

• Are entries spread out or clumped into a few wallets?

• Any early buys from known sniper clusters?

• Was the LP front-run?

Volume Curve

• Did the volume ramp up smoothly?

• Was there a sharp spike then instant dump?

• Are new buyers sustaining the chart?

LP Behavior

• Is liquidity burned or locked?

• Any sudden removal of LP?

• Any unusual LP minting or transfers?

Wallet Exit Timing

• How fast are wallets selling?

• Are most sells below profit?

• Did the deployer sell into volume?

These metrics are all recorded per token and used to inform Forge’s responses.

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Behavior Tags

Forge automatically labels tokens with behavior tags like:

• Organic Launch

• Sniper Farmed

• High Risk: Fast Exit

• Volume Spike + Dump

• Stealth Launch

• Bot-Heavy Distribution

• No Socials

These tags appear in chat replies and are also available when viewing a token’s full breakdown.

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How It Helps

Let’s say you ask:

“Is $MEOW safe?”

Forge might respond:

“$MEOW launched 6 mins ago with 18 SOL LP. LP not burned. Wallet 7AuCty... bought 15% of supply at launch and sold 3 mins later. High concentration of buys from sniper cluster wallets. No socials. High risk pattern: sniper farmed + no burn.”

This combines:

• Token metadata

• Buyer wallet behavior

• LP conditions

• Volume slope

• Sell timing

All into one reply you can act on instantly.

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Custom Behavior Filters

If you’re self-hosting or building a private tool, you can set your own thresholds for what counts as suspicious.

For example:

• Label “sniper farmed” if more than 40% of buys come in within 10 seconds

• Tag “slow burn” if volume grows steadily for 30+ minutes without sharp exits

• Create custom alerts for tokens where deployer joins Telegram 1 hour before launch

These filters can also trigger automated workflows like alerts or deeper agent chains.