Binance AWS Japan Low Latency Trading | Generated by AI
Question: Are Binance’s servers located on AWS Japan? How can I reduce latency when connecting to them for quantitative trading?
Answer:
Binance Server Location: AWS Tokyo (ap-northeast-1)
Yes — Binance’s primary servers are hosted on AWS in the Tokyo, Japan region. Specifically, Binance servers are located in the AWS ap-northeast-1 region (Tokyo, Japan). This is widely confirmed across the trading community and VPS providers.
Latency Benchmarks by Location
Measured MTR (network round-trip) latencies from different locations to api.binance.com are:
| Location | Latency |
|---|---|
| Japan (Tokyo) | ~0.6 ms |
| Germany | ~0.7 ms |
| London | ~1.0–1.5 ms |
| Hong Kong | ~1.5–1.8 ms |
| Santiago de Chile | ~4–5 ms |
From deeper research using actual trading bot order tests across AWS regions, the Asia region clearly outperforms all others. Among Asian regions tested (Tokyo, Osaka, Seoul, Hong Kong, Singapore, Mumbai, Sydney), Osaka, Tokyo, and Seoul showed the best performance for order creation, execution, and cancellation latencies.
How to Reduce Latency for Quantitative Trading
1. Use a VPS in Tokyo or Osaka (Top Recommendation)
For Binance trading, Tokyo VPS, Singapore VPS, or Hong Kong VPS are recommended — with Tokyo giving the absolute lowest latency at around 0.6 ms. Renting a VPS in AWS ap-northeast-1 (Tokyo) or ap-northeast-3 (Osaka) will put you physically closest to Binance’s matching engine.
2. Deploy Directly on AWS in the Same Region
If you are building a quantitative trading system, the best approach is to run your trading bot on an AWS EC2 instance in ap-northeast-1 (Tokyo). This minimizes hops between your server and Binance’s API endpoints.
- Use instance types with enhanced networking (e.g.,
c5n,m5n) for better network throughput. - Enable placement groups for lower intra-region latency if running multiple nodes.
3. Use WebSocket Instead of REST API
For market data (order book, trades), use Binance’s WebSocket Streams rather than repeatedly polling the REST API. WebSocket maintains a persistent connection and avoids the overhead of repeated HTTP handshakes — critical for high-frequency strategies.
4. Optimize Your API Usage
- Use batch orders where possible to reduce the number of API round trips.
- Prefer limit orders with
POST_ONLYflag where applicable to avoid taker fees and improve execution predictability. - Use Binance’s USDⓈ-M Futures API if trading derivatives — it shares the same Tokyo infrastructure.
5. Consider Colocation / Dedicated Servers
For very latency-sensitive HFT strategies, colocation centers rent space, professional hardware, bandwidth, and other IT services — allowing traders to place their servers physically adjacent to exchange infrastructure for the lowest possible latency. Binance does not publicly offer formal colocation like traditional stock exchanges, but placing your VPS on the same AWS Tokyo region achieves a similar effect.
6. Minimize Application-Level Overhead
- Write your bot in a low-overhead language: Python with asyncio, C++, or Rust for the most latency-sensitive paths.
- Avoid logging or disk I/O in the critical order execution path.
- Pre-compute as much as possible (e.g., order sizes, price levels) before the moment you need to fire orders.
Summary
| Action | Expected Impact |
|---|---|
VPS in AWS Tokyo (ap-northeast-1) |
Largest single improvement (~0.6 ms latency) |
| Use WebSocket for market data | Eliminates REST polling overhead |
| Use async/concurrent API calls | Reduces wait time for multiple orders |
| Minimize app-layer processing | Shaves microseconds off critical path |
| Osaka as alternative | Slightly lower variance than Tokyo in some tests |
References:
- EDIS Global – Crypto Trading VPS & Binance Latency Data
- A Latency Analysis of Binance Exchange Across AWS Regions – Viktoria Tsybko
- Best Server Location for Trading – Cloudzy Blog
- VPS for Binance Trading Bot – ishosting Blog