CA:
HG7VcNBCFj9Qt8yKrDprNfZ3qVhQRecg6XQd4TnnzmNCPerpStonks, ticker PerpStonks, is a perps-meets-stonks joke on Solana, two minutes and thirty-five seconds old when this note went out, still on the Raydium LaunchLab curve.
The oddest fact is the launch-slot cluster: bundler wallets flagged in the opening block still hold 38.0% of supply. The name is perps jargon bolted onto the stonks meme, and the only post we found is about this contract, not same-name noise.
Attention is thin: one post, from x.com/thexcaller, 677 followers, describing buys against sells. Nobody over ten thousand followers has posted.
Since our signal the tape is one-sided. Buys run about three to one over sells, hourly volume is 3.27x the market cap, and the token has not graduated off the curve. Too few five-second snapshots exist since the signal to describe a return path.
The risks that matter are the bundled share and the holder mix. Fresh wallets, first seen within a week of buying, are 25.6% of holders, and more than half of the hundred biggest buyers have already fully exited. Mint and freeze are renounced, taxes are zero.
The deployer has made three tokens including this one, two graduated, best prior peak $132.9K; the dev wallet has sold out entirely.
Smart money is thin. Three smart wallets bought at our signal, $928 total; one watched wallet bought seconds after launch; our verified set shows nothing. One KOL wallet bought: chester, 5,734 followers, eight buys.
📊 @ +2 min: MC $16.8K · Liq $14.5K · Holders 133 · 1h +376% · 1h Vol $64.1K
📈 now (+2 min 35 s): MC $20.3K · Holders 138 · 5m buys/sells 915/320
Signals TG: @ memmememjk
🐶 Buy in 1 click
🤖 @Houndsbot | Auto-trading · Launchpad (inner-market) signals · 1-click buy · Refer friends, earn 30% rebate
Not financial advice. Analysis only · DYOR ·
Path since our signal (+95s, 5s ticks): $18.9K -> $10.9K (0.58x now, peak 1.07x at +34s)
⭐ AI score 59/100 (death-risk only; no gold-dog model for this token type yet)
Rug screen (60s model): Medium risk. Similar tokens: 45% fell 70%+ within 10 min, 66% were dead within 1h (n=1517, last 10d)
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