Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities
RWAAAPL
Leads0.084 %
- p99
- 0.92%
- rank
- #1
- samples
- 20,160
PLTR
Trails0.35 %
- p99
- 1.12%
- rank
- #4
- samples
- 20,160
AAPL leads on 1 of 3 shared benchmarks, PLTR on 2. AAPL wins on Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities (0.084% vs 0.35%). PLTR wins on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana (0.26% vs 0.45%), Tokenized stock weekend drift, how far each equity wanders Friday to Monday (0.96% vs 1.19%).
Apple 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.
Palantir 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.
AAPL
Leads0.084 %
PLTR
Trails0.35 %
AAPL
Trails0.45 %
PLTR
Leads0.26 %
AAPL
Trails1.19 %
PLTR
Leads0.96 %
AAPL and PLTR are compared on 3 shared OpenChainBench benchmarks. AAPL leads on Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities. PLTR leads on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana. See the live table on this page for every metric.
On the Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities benchmark, AAPL leads at 0.084% versus PLTR at 0.35%. Live measurement is updated continuously by the OpenChainBench harness.
On the xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana benchmark, PLTR leads at 0.26% versus AAPL at 0.45%. 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.