Ostium vs Papertrade

Ostium leads on all 3 live benchmarks. Ostium wins on Most tradable markets on a perp DEX, live count per venue (83 vs 2), Perp DEX capital efficiency (20 vs 0.030), Perp DEX volume to open interest (0.031x vs 141.8x). Data as of 2026-10-18 UTC.

Read methodology Last measured Window: rolling 24h4 shared benchmarks, 3 measured on both sides
Ostium logo
Ostium

Arbitrum-based perp DEX specialized in RWA exposure including FX, commodities and indices.

Papertrade logo
Papertrade

Synthetic perpetuals on Hyperliquid with two markets, BTC and ETH, at up to 1000x. Positions face a single house LP rather than an order book, and there are no open, close or funding fees.

Side by side measurements

Perp DEX asset breadth: non-crypto markets live, stocks + indices + forex + commodities

Trading

Ostium

Leads

74

p99
74
rank
#7
samples
2,878

Papertrade

No data in window

Non-crypto markets
Ostiumn/aPapertraden/a

Counts reflect each venue's live market catalog at query time, mainnet only. The asset class comes from the venue's own metadata where it publishes one; Hyperliquid HIP-3 dexes and dYdX publish none, so their symbols are matched against the crypto markets the other venues list and a fixed table of forex, commodity and index names. Tokenized gold (PAXG, XAUT) is a crypto token and is not counted. A market counts once whether it trades 24/7 or only during exchange hours.

Rolling 24h · Non-crypto marketsRaw JSON

Perp DEX capital efficiency: active markets per $M TVL, live

Trading

Ostium

Leads

20

p99
20
rank
#2
samples
2,878

Papertrade

Trails

0.030

p99
0.030
rank
#12
samples
2,878
Markets per $M TVL
Ostiumn/aPapertraden/a

TVL from DefiLlama /protocol/{slug} currentChainTvls, excluding staking and pool2 categories. Market count from each venue's native API (same source as the perp-active-markets bench). The ratio reflects architectural choices, not absolute liquidity: a high ratio means the venue can list many markets cheaply, not that each market has deep liquidity. Compare with perp-volume-share for the liquidity angle.

Rolling 24h · Markets per $M TVLRaw JSON

Perp DEX volume to open interest: 24h turnover per dollar of OI, live

Trading

Ostium

Leads

0.031x

p99
0.073x
rank
#1
samples
2,878

Papertrade

Trails

141.8x

p99
200.7x
rank
#23
samples
2,878
Volume / OI (24h)
Ostiumn/aPapertraden/a

The ratio is a screen, not a verdict. Both terms are the venue's own figures (24h volume and open interest as each API reports them, in USD), so a venue that counts both legs of a fill moves its ratio without changing anything real. A very low ratio (Ostium, 0.2x) means positions held for days on thin daily volume; a very high one (Kalshi, above 40x) means a day of trading dwarfs what stays open. The bands in the methodology say what each range usually means.

Rolling 24h · Volume / OI (24h)Raw JSON

Frequently asked questions

Ostium vs Papertrade: which one is better?

Ostium and Papertrade are compared on 4 shared OpenChainBench benchmarks. Ostium leads on Most tradable markets on a perp DEX, live count per venue. See the live table on this page for every metric.

Which has the higher active markets, Ostium or Papertrade?

On the Most tradable markets on a perp DEX, live count per venue benchmark, Ostium leads at 83 versus Papertrade at 2. Live measurement is updated continuously by the OpenChainBench harness.

How is the Ostium vs Papertrade 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.

Live data refreshes via ISR within 60 seconds of a new run. Sources are the same Prometheus queries surfaced on the parent benchmark pages.