Stonkpile/
PreStocks
OpenAI PreStocks rates B Sound.
79 out of 100 for the market around OPENAI: $719k you can sell into, $871k of volume in a day, 3 pools and a perp on Hyperliquid. It rates the market, never the company.
OPENAI contractcheck it on Solscan
OPENAI rates B79 Sound
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
- Liquidity6.5/10 ×4$719k in the pool
- Real volume10.0/10 ×2.5turns over 1.2x its own size a day
- Pools & perps10.0/10 ×23 venues, a perp to hedge with
- Pricing5.3/10 ×1.5priced around the clock, another issuer is 18% away
In their own words, these “provide only economic exposure to private companies; confer no ownership, voting, dividend, information, or other legal rights”, and may result in total loss with no guaranteed secondary-market liquidity. The backing is a basket of SPVs holding shares in the companies. Redemption is reported as USDC at fair market value, with the tokens frozen while the SPV sells the shares off chain, which means the price is set by an actual sale of private stock rather than by a quote.
Reported as Regulation S, non-US, with KYC and a fee for redemption but not for buying and selling on chain. The redemption terms come from third-party write-ups: their own FAQ is a client-rendered accordion we could not read.
Read 2026-10-04 from PreStocks' own disclaimer for the rights, third-party write-ups for the redemption mechanics. source and a second. Terms change, so check them before you act on this.
- Another issuer prices the same company 18% away, per share. Held below Prime for that reason alone.
Is OPENAI 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 PreStocks'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.
Deep enough that a normal trade will not move the price much.
Pyth publishes an always-on price for OPENAI, so there is something independent to check the on-chain price against at any hour.
Trades in several places, so one pool drying up is not fatal.
Widely held.
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 OPENAI
Every market we found behind OPENAI, 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.
$719k 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.
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 INFERENCE | raydium | $6k | $406 | 0.1x | +21.2% |
| 2 ALTCOIN | raydium | $6k | $358 | 0.1x | -12.6% |
| 3 KIBSHI | raydium | $4k | $119 | 0.0x | -6.7% |
| 4 OPENINU | raydium | $5k | $92 | 0.0x | -2.8% |
| 5 GPT | raydium | $15k | $46 | 0.0x | -0.4% |
| 6 ALT | raydium | $4k | $25 | 0.0x | — |
| 7 ASS | raydium | $5k | $4 | 0.0x | -1.4% |
| 8 RedRoy | raydium | $325 | $3 | 0.0x | +0.5% |
| 9 ASTRA | raydium | $6k | $2 | 0.0x | — |
| 10 VCF | raydium | $87 | $2 | 0.0x | -7.1% |
The biggest one: INFERENCE
INFERENCE is the largest coin quoted against OPENAI right now. Same checks, applied to it.
Volume is proportionate to the liquidity behind it, which is what organic trading looks like.
Almost no depth. You may not be able to sell what you buy.
Has been trading long enough to have a track record.
These are arithmetic checks on public data, not advice. They tell you what the numbers look like, not what to do about them.