A Latency Analysis of Binance Exchange Across AWS Regions

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Introduction

For crypto traders, server location significantly impacts trading speed and efficiency. This article presents a detailed latency analysis of Binance across AWS regions, offering actionable insights to optimize trading bot performance.

Methodology

Tools and Setup

Key Steps:

  1. Timestamps:

    • Pre-transmission: Recorded before sending API requests.
    • Post-transmission: Captured upon receiving exchange confirmations.
  2. Order Types:

    • Limit Orders: Created/canceled every 30 seconds.
    • Market Orders: Executed every 5 minutes.
  3. Consistency: Identical t3.small AWS instances across regions, each linked to unique Binance subaccounts.

Phase 1: Global Latency Comparison

Tested Regions (4-hour window):

Results:


Phase 2: Asia-Specific Deep Dive

Tested Regions (24-hour window):

Tokyo, Osaka, Seoul, Hong Kong, Singapore, Mumbai, Sydney

Key Findings:

  1. Order Creation: Osaka achieved the lowest median latency, surpassing Tokyo and Seoul.
  2. Order Cancellation/Execution: Consistent superiority of Osaka.
  3. Statistical Tables: Detailed quartile analysis for each activity.
MetricOsaka (ms)Tokyo (ms)Seoul (ms)
Order Creation120135130
Order Cancellation115140125
Order Execution110125120

Conclusion

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FAQs

Q1: Why focus on AWS regions?

AWS offers global infrastructure, making it a standard benchmark for server performance comparisons.

Q2: How does latency impact trading?

Lower latency reduces slippage, improving order execution speed and profitability.

Q3: Can I replicate this test for other exchanges?

Yes! The provided script is adaptable—simply modify the exchange connector.

Q4: What’s next in this research?

Expanding to exchanges like OKX and Coinbase. Stay tuned!