Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities
RWAAMD
Trails0.38 %
- p99
- 1.03%
- rank
- #3
- samples
- 3,029
META
Leads0.031 %
- p99
- 0.49%
- rank
- #2
- samples
- 3,029
AMD vs META
META leads on both live benchmarks. META wins on Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities (0.031% vs 0.38%), Tokenized stock weekend drift, how far each equity wanders Friday to Monday (0.37% vs 0.67%).
AMD
AMD tokenized equity issued by Robinhood on Robinhood Chain (contract 0x86923f96303D656E4aa86D9d42D1e57ad2023fdC), trading against USDG on Uniswap v4 around the clock. OpenChainBench measures its live price deviation from the real market on the tokenized stock peg benchmark.
META
Meta Platforms tokenized equity measured across issuers on the RWA benchmarks: Robinhood's token on Robinhood Chain (Uniswap v4 vs USDG) and Backed's xStock on Solana (Jupiter executable mid vs USDC), each tracked live against the real market price.
Side by side measurements
Tokenized stock weekend drift, how far each equity wanders Friday to Monday
RWAAMD
Trails0.67 %
- p99
- 0.70%
- rank
- #4
- samples
- 3,029
META
Leads0.37 %
- p99
- 0.62%
- rank
- #1
- samples
- 3,029
Frequently asked questions
AMD vs META: which one is better?
AMD and META are compared on 2 shared OpenChainBench benchmarks. META leads on Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities. See the live table on this page for every metric.
Which is cheaper, AMD or META?
On the Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities benchmark, META leads at 0.031% versus AMD at 0.38%. Live measurement is updated continuously by the OpenChainBench harness.
How is the AMD vs META comparison measured?
Every benchmark on this page uses the same open methodology, published at https://openchainbench.com/methodology. Data is CC-BY-4.0. Measurement harnesses are MIT-licensed.
How this pair was selected
Auto-generated pairs require: both providers in the same benchmark for seven consecutive days, at least 1000 samples per provider, observable third-party search demand, and a public /products/[slug] page on OCB. Editorially curated pairs (like this one) may publish early when search demand is high and data is accruing — panels with fewer than 100 samples are shown as provisional. The full pair ledger is versioned in the public repo.