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AI Trading Bot Founders Detail Five Failures That Broke Their Testnet System

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Two co-founders building an AI-powered trading bot have publicly documented the key technical and human errors encountered during over 100 testnet sessions. Their system suffered from an overtrading momentum module, a false Bitcoin price spike of $82,143 from an unreliable data feed, and gradual accounting drift caused by fee-tracking inconsistencies. A miscalibrated risk alarm failed to trigger during a simulated market crash, while hardcoded parameters applied the same settings to both Bitcoin and meme coins. Beyond the technical flaws, one founder emphasizes that the user's own knowledge gap is often the primary bottleneck when working with AI tools on complex domains like trading.

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AI Trading Bot Founders Detail Five Failures That Broke Their Testnet System · ShortSingh