Robinhood Chain Meme Coin Market Report

This report explains how the Robinhood Chain meme coin market can be measured from public on-chain data on chain ID 4663. It defines the metrics that matter, describes their limits, and points at the live product surfaces where each metric can be observed continuously. It does not publish snapshot numbers — the chain moves too quickly for a static figure to be honest, and any specific value would be stale within minutes. For live figures use the linked product surfaces.

Nock Terminal is the publisher. Nothing in this report is a token endorsement, a price prediction, or a claim of market-share leadership; the goal is a neutral, reproducible framework anyone can apply.

Aggregate figures for pairs, liquidity and volume on Robinhood Chain move as new blocks and indexed data become available, and a hard-coded 'X pairs' figure would age quickly. A methodology page stays useful across weeks. Where verified aggregate data is not available without changing product systems, this report deliberately renders methodology and live-data links rather than inventing figures — check the visible timestamp on any live view for freshness.

For the purposes of this report, 'Robinhood Chain meme coin market' means the set of ERC-20 tokens deployed on chain 4663 that trade against ETH, WETH or USDG in Uniswap v4 pools, excluding the canonical stock tokens Robinhood publishes at docs.robinhood.com/chain/contracts. Meme coins in this sense are speculative community deployments, not Robinhood-managed instruments.

Each metric below is measurable from public chain data and each has a specific, narrow meaning. Any figure a screener publishes is a snapshot of one of these definitions at one point in time.

• New pairs — count of Uniswap v4 pool creations on chain 4663 within a rolling window (for example the last 24 hours). Observable live in the Nock Terminal new-pairs feed.
• Active pairs — count of pools with at least one swap inside a rolling window; distinct from all-time pair count.
• Pool liquidity — value of assets currently deposited in a pool, denominated in ETH or USD via the pool's quote asset. Zero-liquidity pools are excluded.
• Rolling volume — sum of swap notional over a rolling window; sensitive to wash trading and should be read alongside unique-buyer counts.
• Unique buyers — distinct addresses that executed at least one buy in a rolling window; a healthier signal of demand than raw volume alone.
• Holder concentration — share of token supply held by the largest N wallets; extreme concentration is a distinct risk metric from liquidity or volume.

Everything in the metric list above derives from public chain data: pool-creation events, swap events, and ERC-20 transfer events emitted by contracts on chain 4663. The canonical read source is the Robinhood Chain Blockscout explorer at robinhoodchain.blockscout.com. Nock Terminal's product surfaces read the same underlying chain and present each metric in context, so any Nock figure should reconcile against Blockscout's raw data for the same block range.

Third-party aggregators (CoinGecko, DexScreener, Dune) provide their own views of the same public data and their own editorial choices about categorisation. They are useful for external context but are not authoritative for any single contract or number — always cross-check against Blockscout or the raw RPC.

No on-chain report can measure off-chain context: OTC trades, bridge-in balances from other chains, custodial holdings, or the identity behind an address. Volume figures can be inflated by wash trading between coordinated wallets; liquidity can be single-sided or transiently large; unique-buyer counts can be gamed by short-lived airdrop wallets. Every metric in this report is a lower bound on uncertainty, not a definitive market claim.

Nothing in this report is investment advice, a rank-order of tokens, or a claim that any specific meme coin is safe or profitable.

The methodology on this page is reviewed periodically and any material change is dated in the header. The underlying market data updates continuously and can be observed in the live product surfaces below. Do not treat the last-reviewed date as a data freshness marker — for that, always click through to the linked live views.