Stonkpile/xStocks
PLTRx is doing $696k of 24-hour volume as a quote asset, across $126k of liquidity. These are the coins using it as their unit of account.
Five arithmetic checks on the stock token itself, before you look at anything quoted against it.
Metadata is served from xStocks'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 publishes an always-on price for PLTR, 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.
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.
Turnover is 24-hour volume divided by the liquidity behind it. Anything far above about 5x is churning faster than real demand usually does.
| Coin | Venue | Liquidity | 24h volume | Turnover | 24h |
|---|---|---|---|---|---|
| 1 GOYIM | pumpswap | $9k | $616k | 72.0x | -83.6% |
| 2 EYE | raydium | $4k | $64k | 14.5x | -94.8% |
| 3 REC | pumpfun | — | $7k | — | -8.1% |
| 4 GOYBEAM | raydium | $21k | $2k | 0.1x | +1.9% |
| 5 MONITOR | raydium | $7k | $2k | 0.3x | -3.0% |
| 6 Palantinu | raydium | $6k | $1k | 0.2x | -34.0% |
| 7 CAPITALISM | pumpfun | — | $1k | — | -6.3% |
| 8 PSYOP | raydium | $11k | $1k | 0.1x | +14.8% |
| 9 PIGEONS | raydium | $12k | $374 | 0.0x | -7.2% |
| 10 FLOCK | raydium | $7k | $370 | 0.1x | -9.9% |
GOYIM is the largest coin quoted against PLTRx right now. Same checks, applied to it.
Each dollar of liquidity is turning over 72 times a day. Real demand rarely does this. It usually means incentivised volume or wash trading, so the headline volume number is not telling you what it appears to.
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.