Exchange Server Locations & Latency

Where Binance, Bybit, OKX and other major exchanges host their matching engines, how distance turns into slippage, and how to pick the right server location for arbitrage.

Last updated: September 2026

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

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

Tokyo 7 venues Singapore 2 venues Hong Kong 1 venues London / Dublin 2 venues
Tokyo ap-northeast-1
Binance BinanceBitget BitgetGate.io Gate.ioKuCoin KuCoinHTX HTXMEXC MEXCHyperliquid Hyperliquid
Singapore ap-southeast-1
Bybit BybitPhemex Phemex
Hong Kong ap-east-1
OKX OKX
London / Dublin eu-west-1/2
Deribit DeribitPoloniex Poloniex

Hubs 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.

Round-trip latency: co-located vs wrong continent

REST ticker call, measured from eight AWS regions

Exchange Fastest from Best region Worst region
UpbitUpbit Seoul ap-northeast-2 ~10 ms ~360 ms
DeribitDeribitArbitron London eu-west-1 ~10 ms ~464 ms
BitvavoBitvavo Frankfurt eu-central-1 ~15 ms ~996 ms
BybitBybitArbitron Singapore ap-southeast-1 ~16 ms ~304 ms
Gate.ioGate.ioArbitron Tokyo ap-northeast-1 ~16 ms ~381 ms
KrakenKraken Frankfurt eu-central-1 ~18 ms ~64 ms
LBankLBank Hong Kong ap-east-1 ~18 ms ~372 ms
CoinbaseCoinbase Singapore ap-southeast-1 ~19 ms ~84 ms
KuCoinKuCoinArbitron Tokyo ap-northeast-1 ~19 ms ~509 ms
BitstampBitstamp Frankfurt eu-central-1 ~20 ms ~337 ms
BitfinexBitfinex Frankfurt eu-central-1 ~22 ms ~118 ms
OkcoinOkcoin Hong Kong ap-east-1 ~22 ms ~318 ms
CoincheckCoincheck Tokyo ap-northeast-1 ~23 ms ~696 ms
BinanceBinanceArbitron Tokyo ap-northeast-1 ~23 ms ~424 ms
CoinoneCoinone Seoul ap-northeast-2 ~24 ms ~367 ms
BitgetBitgetArbitron Tokyo ap-northeast-1 ~24 ms ~495 ms
EXMOEXMO Frankfurt eu-central-1 ~24 ms ~479 ms
PhemexPhemexArbitron Singapore ap-southeast-1 ~25 ms ~369 ms
ALP.COMALP.COM Frankfurt eu-central-1 ~25 ms ~793 ms
ZaifZaif Tokyo ap-northeast-1 ~26 ms ~400 ms
BitMEXBitMEX London eu-west-1 ~26 ms ~362 ms
BithumbBithumb Seoul ap-northeast-2 ~27 ms ~304 ms
LATOKENLATOKEN Frankfurt eu-central-1 ~28 ms ~762 ms
BitbankBitbank Tokyo ap-northeast-1 ~31 ms ~739 ms
HitBTCHitBTC Frankfurt eu-central-1 ~32 ms ~517 ms
BTCBOXBTCBOX Tokyo ap-northeast-1 ~34 ms ~559 ms
OKXOKXArbitron Hong Kong ap-east-1 ~35 ms ~440 ms
AscendEXAscendEX Tokyo ap-northeast-1 ~40 ms ~498 ms
bitFlyerbitFlyer Tokyo ap-northeast-1 ~44 ms ~391 ms
IndodaxIndodax Singapore ap-southeast-1 ~46 ms ~1180 ms
BigONEBigONE Hong Kong ap-east-1 ~46 ms ~338 ms
WhiteBITWhiteBIT Frankfurt eu-central-1 ~46 ms ~496 ms
CoinExCoinEx Tokyo ap-northeast-1 ~47 ms ~462 ms
CEX.IOCEX.IO Frankfurt eu-central-1 ~49 ms ~861 ms
BEQUANTBEQUANT London eu-west-1 ~54 ms ~855 ms
zondacryptozondacrypto Frankfurt eu-central-1 ~56 ms ~1035 ms
ProBit GlobalProBit Global Tokyo ap-northeast-1 ~58 ms ~491 ms
NovaDAXNovaDAX London eu-west-1 ~58 ms ~370 ms
Mercado BitcoinMercado Bitcoin N. Virginia us-east-1 ~61 ms ~277 ms
YoBitYoBit Frankfurt eu-central-1 ~62 ms ~439 ms
FoxbitFoxbit N. Virginia us-east-1 ~62 ms ~388 ms
DigiFinexDigiFinex Hong Kong ap-east-1 ~66 ms ~460 ms
HTXHTXArbitron Tokyo ap-northeast-1 ~70 ms ~392 ms
One Trading (Bitpanda Pro)One Trading (Bitpanda Pro) London eu-west-1 ~70 ms ~1064 ms
CoinmateCoinmate London eu-west-1 ~72 ms ~860 ms
LunoLuno London eu-west-1 ~77 ms ~1285 ms
Binance.USBinance.US N. Virginia us-east-1 ~78 ms ~383 ms
PoloniexPoloniexArbitron London eu-west-1 ~85 ms ~437 ms
Bit2CBit2C Frankfurt eu-central-1 ~104 ms ~979 ms
GeminiGemini London eu-west-1 ~116 ms ~338 ms
BitsoBitso N. Virginia us-east-1 ~121 ms ~519 ms
OceanExOceanEx Hong Kong ap-east-1 ~121 ms ~385 ms
Independent ReserveIndependent Reserve Singapore ap-southeast-1 ~159 ms ~444 ms
BTC MarketsBTC Markets Tokyo ap-northeast-1 ~283 ms ~450 ms
PaymiumPaymium Frankfurt eu-central-1 ~349 ms ~1685 ms
BL3PBL3P Frankfurt eu-central-1 ~468 ms ~680 ms
MEXCMEXC *Arbitron Tokyo ap-northeast-1 — —
HyperliquidHyperliquid *Arbitron Tokyo ap-northeast-1 — —

* Publicly reported location, not measured. Figures are indicative REST round-trips from our multi-region measurements — the fastest and slowest of eight AWS regions per exchange, for comparing regions, not SLAs. Defunct exchanges are excluded.

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.

What it cost, once

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.

Minimize the worst leg, not the best

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

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.

Check yourself

A few questions on what you just read. Each answer comes with the reason it is right or wrong.

Your code is fully optimised and a round trip from Frankfurt to a Tokyo exchange still takes about a quarter of a second. What actually fixes it?

A distant server hurts you in two directions. Besides orders arriving late, what is the other?

Two-leg arbitrage between exchanges in different regions. Which server location wins?

Frequently asked questions

What is crypto exchange colocation?

Crypto venues do not rent rack space the way equities exchanges do. The practical equivalent is running your server in the same cloud region as the exchange's matching engine, which cuts a round trip from roughly 250 ms to roughly 20 ms.

Which crypto exchange is best for low-latency trading?

None is fastest from everywhere; it depends where your server sits. From AWS Tokyo, Binance, Gate.io, KuCoin, Bitget and HTX all answer in under 30 ms. From Singapore, Bybit and Phemex do. Pick the region first, then the exchanges it reaches.

What latency do I need for crypto arbitrage?

Under 50 ms per leg is workable and under 25 ms is ideal. Above 200 ms — typical when trading Asian exchanges from Europe or the US — stale prices and late fills routinely turn a positive spread into a loss.

Does server location really affect trading profits?

Yes. The same API call is 10–20× slower from the wrong continent, which means staler prices and worse fills. In production we have measured nearly 0.8% slippage on a single fill caused by stale market data — several times a typical arbitrage spread.

Can I choose my server location in Arbitron?

Yes. Each account gets a dedicated trading server with its own IP, and you are able to choose the region it is deployed in — Tokyo, Singapore, Hong Kong or Europe — to match the exchanges you trade.

What is the best server location for trading on multiple exchanges?

Pick the region that minimizes latency to the slowest of your venues. Tokyo covers the most majors (Binance, Gate.io, KuCoin, Bitget, HTX); Hong Kong suits OKX-centric setups; London is best for Deribit and Poloniex.

Try Arbitron — find spreads across 19 exchanges

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