Everyone here says you're long NVDA. We read the signal.
The stock-pair signal terminal for Robinhood Chain. One number — SIGNAL — for how much of a token's price move is actually explained by the stock it claims to track. Public formula. Public data. We score our own token the same way.
measured 2026-08-28 · top-100 pools sweep · tools that show this: zero
TBA — the terminal ships first, the token comes after tractionA new market appeared: tokens priced in stocks instead of ETH.
Nobody checked if the exposure is real.
Every one of these tokens sells the same sentence — "hold this, get stock exposure on-chain." The claim is checkable from public data. So we checked. That check is the product.
≈1% per hop, both directions, before slippage. Buying the frog routes through the stock — three pools deep. The trader is never shown this.
First readings. Already measured.
Computed 2026-08-29 from public pool candles — hourly log returns, ordinary least squares, nothing exotic. The exact pipeline the terminal automates. These are real numbers about real tokens.
method + raw inputs in the docs · readings.json is committed to the repo — recompute it and argue with the math, not with us
See how a claim dissolves.
A token that is "paired to a stock" still moves on its own hype. Drag the meme factor — the R² below is computed live by the same regression the terminal ships. Watch how little meme it takes to bury the stock.
r_token = 1.0 × r_stock + meme × noise → R² recomputed every frame
Six instruments. One panel.
R² of hourly token returns regressed on the stock. How much of this token's movement is explained by the stock at all.
Slope of the same regression. A 1% stock move historically moved this token by BETA%.
Splits your USD result into the stock's contribution and the meme's contribution. Shows which one you were actually holding.
Value of stock tokens actually accumulated by the project's fee address, read on-chain. Disclosure, not a promise.
Supply delta of the quote token since launch. Verified against the chain, not quoted from a pitch deck.
Hops from ETH to this token and the total swap fee across them — round trip included.
The pairing tree, mapped.
A measured slice of it — 2026-08-28. The terminal keeps the whole thing live, node size by liquidity, colour by SIGNAL.
nested branch under NVDA: tokens paired to a token that is itself paired to the stock — two claims deep, one purchase routes through three pools
Every five minutes, forever.
every liquidity pool on the chain, every 5 minutes
quote asset per pool — stock token, stock-paired token, or out of scope
hourly candles for the pool and for its stock
the six metrics, with bar counts and confidence attached
terminal, share cards, alerts, open API — same numbers everywhere
$GEIGER — the meter, not the mine.
The measurements stay free forever. The token buys speed and plumbing — never the numbers.
terminal, all six metrics, token pages, share cards, receipts feed, 10k API calls/mo
sub-60s launch alerts, reserve-drain + liquidity-pull alerts, watchlists, export
webhooks to your own channel, raised API tier, new metrics land here first
metered API beyond the free tier — 100% of spend burned
- ✕a better SIGNAL score
- ✕removal from the Receipts feed
- ✕a verification badge
- ✕placement or ranking in the screener
buys a basket of tokenized stocks; address published, never sold
indexer, RPC, hosting, data contracts
handled natively by the launchpad vault — reduces supply
| Supply | 1,000,000,000 (fixed) |
| Launch venue | pons.family V2 |
| Pair asset | native ETH |
| Distribution | 100% bonding curve — no presale, no team pre-mint |
| Creator tax | 1.5% — set once, immutable forever (ceiling is 10%) |
| Graduation | curve fills → full-range pool, liquidity locked permanently |
| Buyback | enabled at launch via the native vault |
The sector writes our feed by itself.
Every measurable event becomes a permanent, shareable record — posted to X and Telegram automatically. Samples below are drawn from the readings above.
- NEW—stock-paired token detected on chain
- FIRST READING—enough bars for a first SIGNAL
- DIVERGENCE—stock up, token down — or the inverse — by a material margin over 7 days
- RESERVE MOVE—a fee sink address is drained
- SILENCE—SIGNAL falls below 5 with high confidence
- GONE—liquidity removed or pool abandoned
$AI claims NVDA exposure. Measured: SIGNAL 3.2, n=929 hourly bars. Beta 1.02 — the direction is there, the noise buries it.
$CLIPPY says you're long Microsoft. Measured beta: −0.88. Slightly the opposite, at SIGNAL 0.0.
$AGI −25% from ATH in 36h while NVDA moved ~0%. Sells outnumber buys 2:1.
$AI supply verified at 991,819,021 of 1B — 8.18M permanently burned (0.82%). This one is real.
Attack it. We planned for you.
Tool first. Token after traction.
The opposite order of everything we measure — on purpose. A measurement product that launches its token first has no standing to measure anyone.
- · pool enumeration + automatic quote-asset discovery
- · hourly ingestion
- · all six metrics live
- · route map, screener, token pages
- · share cards
- · mobile verified
- · receipts bot on X + Telegram
- · reserve leaderboard
- · security audit, then live
- · launch on pons V2, native ETH pair
- · reserve address published day one
- · our own row appears in our own screener
- · API tiers, historical replay
- · a market on: does this token track its stock?
Decisions, with reasons.
A referee should not be a player. Pairing to a stock puts us inside the set we score.
The value is immutable after launch. A product about extraction cannot be extractive.
Traffic and a track record are the distribution. Launching first would make us the thing we criticise.
The measurements are the public good and the funnel. Speed and plumbing are paid.
A purchasable score is worth zero. This constraint is the moat.
Reproducibility turns accusations of bias into invitations to recompute.
The honest take.
- ▸First tool in a sector doing 7.9% of chain volume
- ▸A metric projects cannot fake without becoming honest
- ▸History compounds — coverage cannot be back-filled by a late clone
- ▸Receipts feed writes the marketing by itself, daily
- ▸The sector may cool within weeks — this is the real risk; dead tokens become receipts, but a dead sector removes the subject
- ▸Stock-token pairing could be restricted upstream — the metric generalises, the moment doesn't
- ▸Scores make enemies — the defence is published inputs and an open formula, not diplomacy
- ▸Young tokens have few bars — confidence labels keep us honest, and modest
