Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities
RWAMETA
Trails0.031 %
- p99
- 0.49%
- rank
- #2
- samples
- 3,306
NVDA
Leads0.031 %
- p99
- 0.51%
- rank
- #1
- samples
- 3,306
META leads on 2 of 3 shared benchmarks, NVDA on 1. META wins on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana (0.017% vs 0.025%), Tokenized stock weekend drift, how far each equity wanders Friday to Monday (0.60% vs 5.89%). NVDA wins on Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities (0.031% vs 0.031%).
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.
Nvidia 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.
META
Trails0.031 %
NVDA
Leads0.031 %
META
Leads0.017 %
NVDA
Trails0.025 %
META
Leads0.60 %
NVDA
Trails5.89 %
META and NVDA are compared on 3 shared OpenChainBench benchmarks. META leads on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana. NVDA leads on Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities. See the live table on this page for every metric.
On the xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana benchmark, META leads at 0.017% versus NVDA at 0.025%. Live measurement is updated continuously by the OpenChainBench harness.
On the Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities benchmark, NVDA leads at 0.031% versus META at 0.031%. Live measurement is updated continuously by the OpenChainBench harness.
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.
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.