Building a Low-Latency Whale Tracker: How I Solved the Data Bottleneck in My Telegram Crypto Bot

In the fast-paced world of cryptocurrency, data isn't just information—it's timing. A delay of even a few seconds can be the difference between a profitable trade and a missed opportunity. While building Tgcryptobot, I encountered a significant technical hurdle: high latency in real-time blockchain monitoring. In this post, I’ll share how I transitioned from standard HTTP polling to a high-performance WebSocket architecture to achieve sub-millisecond response times. The Problem: The Bottleneck of HTTP Polling Initially, I implemented a simple HTTP polling mechanism to track liquidity changes on Ethereum. My server would request data from the node every few seconds. However, this approach faced two critical flaws: Latency: The overhead of constant HTTP requests led to an average delay of 8–10 seconds. Rate Limiting: Frequent polling often hit node provider limits, causing downtime. The Solution: Shifting to WebSockets To fix this, I redesigned the infrastructure to use WebSockets. By es