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A QA Engineer’s Perspective: Detecting Artificial Trading Volume in Crypto Exchanges
A QA Engineer’s Perspective: Detecting Artificial Trading Volume in Crypto Exchanges As a QA engineer working in the blockchain and fintech space, one of the more subtle, yet impactful, challenges I’ve come across is the issue of artificial trading volume. After reading CoinMarketCap’s excellent post — The Best Crypto Exchanges for High Volume Traders: A 2025 Guide — I felt compelled to break this issue down from a quality assurance perspective. We, as QAs, play a vital role in upholding market transparency and identifying manipulative behavior in systems long before it reaches end users.
A QA Engineer’s Perspective: Detecting Artificial Trading Volume in Crypto Exchanges
As a QA engineer working in the blockchain and fintech space, one of the more subtle, yet impactful, challenges I’ve come across is the issue of artificial trading volume.
After reading CoinMarketCap’s excellent post — The Best Crypto Exchanges for High Volume Traders: A 2025 Guide — I felt compelled to break this issue down from a quality assurance perspective. We, as QAs, play a vital role in upholding market transparency and identifying manipulative behavior in systems long before it reaches end users.
