Fixing Gold Tick Sequence Gaps in Live Market Data Streams

This article addresses a critical issue in quantitative finance: broken Tick sequence IDs in live market data streams. When building precious metals data pipelines, sequence gaps in WebSocket connections can corrupt backtesting results, especially in high-frequency trading scenarios. The author explains that standard streaming logic requires sequence numbers to increment by one, but gaps occur when streams jump (e.g., from 4122 to 4126), creating missing data. Three root causes are identified: network packet loss, WebSocket reconnections, and single-threaded code blocking receivers. Two gap detection methods are compared: post-hoc full dataset scans (suitable for learning but not production) and real-time pre-validation on message receive (recommended for labs). Recovery approaches include historical range backfill and local circular cache restoration. The article also outlines four cloud deployment standards, emphasizing timestamp validation, data tagging, decoupled ingestion/calculation logic, and cloud monitoring integration. These practices ensure data integrity in long-running market data pipelines, which is essential for reliable backtesting and analysis.