Stonkpile/
Backpack/no 24/7 oracle
Grindr rates C Thin.
58 out of 100 for the market around GRND: $89k you can sell into, $186k of volume in a day, 3 pools and no perp. It rates the market, never the company.
GRND contractcheck it on Solscan
GRND rates C58 Thin
Each part is scored out of 10 and carries its own weight, so ten across all four is exactly 100. Nothing here is about the company, or about whether the price is fair.
Depth is read from indexed AMM pools. Market makers quoting from their own inventory, request-for-quote venues and exchange order books can all fill a trade this score cannot see, so a thin pool does not always mean a hard exit. What the rating covers
- Liquidity3.8/10 ×4$89k in the pool
- Real volume10.0/10 ×2.5turns over 2.1x its own size a day
- Pools & perps7.0/10 ×23 venues, no perp
- Pricing2.3/10 ×1.5no price after the closing bell, no second issuer to check against
Each token is redeemable 1:1 for the real underlying security, held as a claim on an SPV that owns the assets. Dividends are reinvested into additional tokenized shares.
Through Backpack Securities. Eligibility terms are not set out on the page we read.
Read 2026-10-04 from Backpack Securities support documentation. source. Terms change, so check them before you act on this.
- No reference price once the US market shuts.
- No perp market, so it can be held but not hedged.
Is GRND what it says it is?
Five arithmetic checks on the tokenized stock itself, before you look at anything quoted against it.
Metadata is served from Backpack's own domain, which is how this index separates real tokenized stocks from the hundreds of lookalikes that simply put the name in their title.
Thin. Larger orders will slip noticeably against you.
Pyth only publishes GRND during the US session. Once the closing bell goes there is no independent reference price, and that is when on-chain quotes drift furthest from fair value.
Trades in several places, so one pool drying up is not fatal.
Modest holder base for a tokenized equity.
These are arithmetic checks on public data, not advice. They tell you what the numbers look like, not what to do about them.
Where to buy GRND
Every market we found behind GRND, deepest first, each one a link straight to that pool rather than to a front page. The depth figure is what is sitting in the pool now, which is roughly what you could sell into before the price moves against you.
$89k across 3 pools, and it does not move between them: a sale bigger than the deepest one costs you more than the top line suggests.
One link on this page is a referral: buying on Backpack through it pays us a share of the trading fee, at no cost to you. It is the only one, it is marked, and it changes nothing about the rating. Every score on this site is computed before any link is attached, from figures the site publishes, and no issuer applies or pays to be rated.
What is priced in it
Turnover is 24-hour volume divided by the liquidity behind it. Anything far above about 5x is churning faster than real demand usually does. Each row carries the coin’s contract address so you can copy the right one. It identifies the coin and says nothing about whether it is any good.
| Coin | Venue | Liquidity | 24h volume | Turnover | 24h |
|---|---|---|---|---|---|
| 1 MTM | pumpfun | — | $28k | — | -26.4% |
| 2 GAY | pumpfun | — | $12k | — | -7.2% |
| 3 GAYSON | pumpfun | — | $8k | — | -28.6% |
| 4 ITI | pumpfun | — | $3k | — | -25.8% |
| 5 GAY | pumpfun | — | $2k | — | -14.9% |
| 6 MTM | pumpfun | — | $2k | — | -19.3% |
| 7 PvP | pumpfun | — | $827 | — | -9.5% |
| 8 GAY | pumpfun | — | $564 | — | -17.9% |
| 9 GAY | raydium | $7k | $272 | 0.0x | -16.9% |
| 10 Freako | pumpfun | — | $104 | — | — |
The biggest one: MTM
MTM is the largest coin quoted against GRND right now. Same checks, applied to it.
Volume is being reported with no pool liquidity behind it. Treat the volume figure as meaningless.
Almost no depth. You may not be able to sell what you buy.
Created in the last week. The overwhelming majority of pools this young go to zero.
These are arithmetic checks on public data, not advice. They tell you what the numbers look like, not what to do about them.