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$SIH -96.61%: 3,416 Buyers, 170 Holders Left

2026-09-11 · 6 min read · By Leo Park · BigPump Blog
TL;DR
  • 3,416 unique buyers in 24h and only 170 holders now (OpenSea) — a ratio of 20.1
  • $3,627 market cap, $858,970 of 24h volume, 168.7x turnover, 236.8x market cap; $0 in the last hour
  • An 85% fee pool existed six minutes after the main pool; 7 of 10 pools charge 5%–85%

Stonks In Hood ($SIH) is down 96.61% over 24 hours. The drop isn't the interesting part. This is: 3,416 distinct addresses bought it in the last 24 hours, and it now has 170 holders. A token with a $3,627 market cap traded $858,970 in a day. Here's how to recognise that shape before you're in it. Snapshot 2026-09-11 00:09 UTC.

Data card (2026-09-11 00:09 UTC)

$SIH (Stonks In Hood) · contract 0x4d1a96b7f567b0672a407683fa6e8ecc448402dc
Price$0.0000036265482
1h / 6h / 24h0.00% / +4.72% / -96.61%
Market cap$3,627
Liquidity (main pool / all 10 pools)$5,091 / $5,274
24h volume$858,970
Turnover168.7x (highest on the board)
Volume ÷ market cap236.8x
24h transactions4,035 buys / 4,095 sells
24h unique addresses3,416 buyers / 3,542 sellers
Last hourvolume $0, 0 buys, 0 sells
Age25 hours (main pool created 2026-09-09 22:39 UTC)
Current holders170 (source: OpenSea token page, fetched 2026-09-11; that page shows -97.08% on 24h)
Project infoOpenSea description reads only "just stonks in hood"; no website or Telegram in our feed

Contradiction one: 3,416 buyers, 170 holders

Sit with those two numbers for ten seconds.

3,416 different addresses executed a buy in 24 hours. The token currently has 170 holders. That means for every 20 addresses that bought, roughly one still holds anything.

Normal crashes don't look like this. In a normal crash, people buy the top and then sit on the loss because they can't bring themselves to sell — so the holder count rises while average P&L craters. $POPE's 6-hour -98.72% on 09-08 was exactly that shape: 1,955 buyers trapped inside.

SIH inverted it: addresses bought, and then their balances went to nothing. Two plausible explanations:

  1. Wash trading. A pool of scripted addresses buys and immediately sells, manufacturing volume. Each address is counted as a distinct buyer, but none ends up holding.
  2. Sybil farming. Many addresses each buy a dust amount to register on-chain activity, then exit.

Both lead to the same conclusion: that $858,970 of volume does not represent $858,970 of demand.

Contradiction two: volume is 236.8x market cap

The token's entire market cap is $3,627. It traded $858,970 in a day — 236.8 times its market cap. Turnover against main-pool liquidity is 168.7x, the highest figure on today's board.

Turnover comparison (2026-09-11 00:09 UTC)
TokenTurnover24h changeLiquidity
SIH168.7x-96.61%$5,091
PONIE43.6x-38.39%$37,908
JUGGERNAUT35.6x+379.29%$743,860
FRONG16.6x+165.79%$1,118,624
KERMIT15.1x+49.62%$55,691
CHUMP4.0x+20.65%$1,386,335
WALLET1.0x+56.92%$3,289,835

The pattern is hard to miss: higher turnover, thinner pool, worse outcome. WALLET turns over 1.0x on a $3.29M pool and is up 56.92%; SIH turns over 168.7x on a $5,091 pool and is down 96.61%. That isn't coincidence — high-speed churn in a thin pool is the mechanism that moves money from latecomers to whoever was early.

Signal three: the last hour is nothing

SIH's last hour: $0 of volume, 0 buys, 0 sells, 0.00% price change.

That's the "it's over" marker. A token launched 25 hours ago, down 96.61%, with not a single trade in the most recent hour. The $5,091 left in the pool has no bidders and no one left to panic out. The +4.72% on 6h isn't a bounce, it's noise in a thin pool.

Compare PONIE: also falling (-38.39%), but its last hour had 265 buys and 227 sells and price was +3.79%. There's still a game being played. SIH has none.

Signal four: 10 pools, 7 charging 5%–85%

$SIH pool detail (2026-09-11 00:35 UTC)
PoolCreatedLiquidity24h volume
SIH / WETH (main)2026-09-09 22:39$5,091$858,970
SIH / USDG 85%2026-09-09 22:45$136$9
SIH / WETH 80.19%2026-09-09 23:01$20$6
SIH / WETH 81%2026-09-09 23:01$16$5
SIH / USDG 65%2026-09-09 23:01$6$2
SIH / USDG 60%2026-09-10 01:52$3$2
SIH / USDG 0.9%2026-09-10 12:45$2$20
SIH / USDG 5%2026-09-10 07:42$0$6

Look at the timestamps. The main pool went live at 22:39; six minutes later an 85% fee pool existed, and within 22 minutes three more at 60%–81%. This is a routine: the main pool attracts flow, the satellites wait for a routing mistake. We counted these at scale in the high-fee trap pool census.

Five hard filters that would have caught it

  1. Turnover above 50x → treat as wash volume. 24h volume ÷ main-pool liquidity. SIH: 168.7x.
  2. Volume ÷ market cap above 20x → serious warning. SIH: 236.8x. No legitimate reason exists for a token to trade 20 times its entire market cap in a day.
  3. Unique buyers ÷ current holders above 5 → money came in and didn't stay. SIH: 3,416 ÷ 170 = 20.1. This one is new to our checklist today and it's sharp, because it cross-references trade data against holder data — when the two sides don't reconcile, something is wrong.
  4. Main-pool liquidity below $20,000 → don't touch it. SIH: $5,091. A few hundred dollars moves that book. Our golden-dog definition includes a ≥$20k liquidity floor precisely to exclude this.
  5. A >50% fee satellite pool within 30 minutes of launch → blacklist. SIH had an 85% pool six minutes after the main pool.

All five are visible on the SIH page on BigPump — pool list, fee tiers, volume distribution and chart in one screen.

Others worth watching today

FAQ

Could SIH bounce?

There's essentially no case for it: $0 of volume in the last hour, $5,091 left in the pool, a $3,627 market cap, zero public project information, 170 holders. Not investment advice, but this shape has no bull argument to make.

How do I compute "3,416 buyers but 170 holders" myself?

Unique buyers come from the hot-token feed (24h buyers). Current holder count has to come from an OpenSea token page today, because the upstream holder endpoint has returned 403 for two consecutive days and holdersCount is null in our feed. The two use different methodologies, so treat the ratio as a rough signal, not a precise metric. Above 5x, pay attention; above 20x, you can draw a conclusion.

How is the volume this high?

Robinhood Chain gas is very cheap, so scripting repeated buys and sells costs little. The main-pool fee is real friction, but if the goal is to climb the gainers and volume boards and attract genuine buyers, that cost is worth paying to the operator. Volume is the easiest on-chain metric to fake; liquidity and holder distribution are the hardest.

Why no top-10 concentration data today?

The upstream holder endpoint returned 403 for a second day, so holdersCount / top1Percent / top10Percent are all null — no public data. Substitute methods: how to judge a token without holder data.

How do I avoid these?

The blunt version: only trade tokens with main-pool liquidity ≥ $20,000, turnover under 20x, and no high-fee satellites. Today that's CHUMP (4.0x, $1,386,335), WALLET (1.0x, $3,289,835) and CASHCAT (4.3x, $2,356,263). Full board: today's hot tokens report. If you're on the launching side, BigPump's 4 ETH graduation line exists to keep $5,000-liquidity shells off the table — at graduation the contract creates one Uniswap V2 pool and burns the LP. Docs · Launch

On-chain figures from the 2026-09-11 00:09 UTC Robinhood Chain snapshot, pool detail 00:35 UTC; holder count from OpenSea (fetched 2026-09-11, different methodology from pool data). Data reporting and method only — not investment advice. Memecoins can go to zero.

Disclaimer: memecoins are extremely volatile and most go to zero. This article is not financial advice. Do your own research and only spend what you can afford to lose.