Why Your Crypto Bot Keeps Failing: The Data Quality Problem (And How to Fix It)

Why Your Crypto Bot Keeps Failing: The Data Quality Problem (And How to Fix It) You spent weeks building it. You backtested it. The paper results looked great. Then you ran it live and it started making nonsensical trades — buying at the worst possible moments, sending alerts that didn't match what you saw on the chart, triggering signals that shouldn't have triggered at all. Before blaming your strategy, blame your data. Data quality problems are responsible for more bot failures than bad logic. This guide explains the most common data issues, how to detect them, and how to fix them for good. Not financial advice. Paper trading only. The Hidden Iceberg: Why Data Problems Are Easy to Miss The insidious thing about data quality issues is that they're often invisible at first glance. Your bot runs. It logs trades. Charts show prices. Everything looks fine. But under the surface: Timestamps are misaligned across exchanges API responses contain gaps (missing candles) Prices include exchang