Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities
RWAMSFT
No data in window
NVDA
Trails0.031 %
- p99
- 0.49%
- rank
- #1
- samples
- 3,045
MSFT vs NVDA
NVDA leads on the only live benchmark. NVDA wins on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana (0.025% vs 0.54%).
MSFT
Microsoft 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.
NVDA
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.
Side by side measurements
xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana
RWAMSFT
Trails0.54 %
- p99
- 0.87%
- rank
- #11
- samples
- 3,046
NVDA
Leads0.025 %
- p99
- 0.21%
- rank
- #3
- samples
- 3,046
Tokenized stock weekend drift, how far each equity wanders Friday to Monday
RWAMSFT
No data in window
NVDA
Trails5.89 %
- p99
- 5.89%
- rank
- #6
- samples
- 3,045
Frequently asked questions
MSFT vs NVDA: which one is better?
MSFT and NVDA are compared on 3 shared OpenChainBench benchmarks. NVDA leads on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana. See the live table on this page for every metric.
Which is cheaper, MSFT or NVDA?
On the xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana benchmark, NVDA leads at 0.025% versus MSFT at 0.54%. Live measurement is updated continuously by the OpenChainBench harness.
How is the MSFT vs NVDA 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.