Intro
As instructors leading cloud-based quantitative coding labs, we’ve seen a consistent pain point among students building precious metals data pipelines: broken, discontinuous Tick sequence IDs over WebSocket connections. These gaps quietly corrupt backtesting outputs if unaddressed.
When you’re only drawing simple price charts for beginner coursework, missing Tick records are almost impossible to spot. But once you move to high-frequency candlestick aggregation, volatility factor analysis, and grid parameter backtesting, sequence gaps create persistent bias that makes all simulation data untrustworthy.
Under standard streaming logic, every new Tick increments its sequence number by exactly one. A gap occurs when the stream jumps, e.g., from 4122 straight to 4126, wiping out all entries between those IDs. We’ve mapped three common root causes seen across our cloud lab environments:
Temporary lab network packet loss cutting off partial WebSocket payloads
