Why milliseconds matter in crypto trading
A liquid perpetual orderbook changes hundreds of times per second. Every price you see is already history — the only question is how stale it is. That staleness is latency: the round-trip time between your trading server and the exchange's matching engine.
In arbitrage the stakes are concrete. A spread window often lives for a few hundred milliseconds. If your order takes 300 ms to reach the exchange, the book has moved by the time it arrives — you fill at a worse price, and the slippage quietly eats the edge you were trying to capture.
Latency is physics, not software. A signal in fiber from Frankfurt to Tokyo and back takes roughly a quarter of a second no matter how optimized your code is. The only real fix is moving the server next to the exchange.
Where crypto exchanges actually host their servers
AWS Tokyo
Most of the venues we trade run their matching engines in a handful of cloud regions in Asia. Binance, Gate.io, KuCoin, Bitget and HTX respond fastest from AWS Tokyo (ap-northeast-1); MEXC and Hyperliquid are also reported to run there.
Singapore · Hong Kong
Bybit and Phemex are hosted in Singapore (ap-southeast-1). OKX and LBank sit closest to Hong Kong (ap-east-1): both answer in under 40 ms from there.
Europe
Europe hosts three. Deribit's engine is in London, WhiteBIT answers fastest from Frankfurt, and Poloniex also responds fastest from Europe. WhiteBIT carries the steepest regional penalty on the board: 46 ms from Frankfurt against 300–500 ms from Asia.
Kraken
Kraken is the exception. It answers in 18–64 ms from all eight regions we measured, so there is no matching engine to sit next to. Read that as infrastructure fronted close to the caller rather than one engine in one city. The map below shows the four hosting hubs.
Where the matching engines live
Major crypto exchanges cluster in four hosting hubs
Binance
Bitget
Gate.io
KuCoin
HTX
MEXC
Hyperliquid
Bybit
Phemex
OKX
Deribit
PoloniexHubs are derived from our multi-region latency measurements; MEXC and Hyperliquid are publicly reported locations.
Latency by the numbers
We measured the round-trip time of a REST ticker call to each exchange from multiple AWS regions. The pattern is stark: the same request that takes 10–35 ms from the region next to the matching engine takes 200–500+ ms from the wrong continent — a 10–20× difference.
Treat the numbers as indicative round-trips for comparing regions, not as guarantees: WebSocket feeds are faster than REST in absolute terms, but the regional proportions stay the same.
How latency becomes slippage
A market order's life is: your server sees a price, decides, sends the order, and the exchange matches it against whatever the book looks like when it arrives. Latency taxes every step. In 300 ms a liquid perpetual book can refresh completely — the price you acted on simply no longer exists.
The damage is not theoretical. In our production measurements, a single fill executed on stale data once cost nearly 0.8% in slippage — several times a typical arbitrage spread. A well-placed server turns that into a rounding error.
Distance also degrades what you see, not just what you send: a far-away server receives every orderbook update late, so each decision is made on an old book. Co-location fixes both directions at once.
Choosing a server location for two-leg arbitrage
Trading a single venue is easy: put the server in the region next to it. Two-leg arbitrage is more subtle, because the two exchanges may live in different regions — and both legs have to fill.
The right rule is to minimize the worst leg, not the best one. A location that gives you 16 ms to one exchange and 200 ms to the other is worse than one that gives you 25–90 ms to both: the slow leg sets your real execution quality.
Examples from the table above: for Binance + Bybit, Tokyo (≈23 / 91 ms) beats Singapore (≈206 / 16 ms). For OKX + Binance, Hong Kong balances both. For Deribit + Poloniex — both hosted in Europe — London is the only sensible answer.
Rule of thumb: both venues in Tokyo → Tokyo. Mixed Asian venues → Tokyo or Hong Kong. European derivatives venues → London. When in doubt, Tokyo covers the largest share of major exchanges. You can check which venue pairs currently show tradable spreads in the live arbitrage scanner.
Server location on Arbitron
Your own server
Every Arbitron account runs on its own dedicated trading server with its own IP address, placed in the cloud regions where the exchanges themselves live — not on shared infrastructure on the other side of the planet.
You pick the region
You are able to choose the region your server is deployed in — Tokyo, Singapore, Hong Kong or Europe — so the venues you actually trade are milliseconds away, not continents.
No extra hops
Market data and order execution run directly between your server and the exchanges' APIs, with no extra hops. See how Arbitron works for the full architecture.
How these numbers were measured
Each value is the round-trip latency of a REST fetch_ticker() call, averaged over 10 serial iterations, from the named AWS region. The figures include TLS negotiation and the exchange's own API processing, so they run higher than raw network round-trips — what matters is the ordering across regions, not the absolute milliseconds.
Eight AWS regions were used: N. Virginia, N. California, Frankfurt, Ireland, Hong Kong, Seoul, Singapore and Tokyo. Note that eu-west-1 is Ireland, not London — London is eu-west-2.
How to cite
Arbitron. "Exchange Server Locations & Latency". 2026-09-22. https://arbitron.app/learn/crypto-exchange-server-locations
Free to reuse under CC BY 4.0. Please credit Arbitron with a link.














































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