Three Times a Self-Running Trading Bot Still Required Human Intervention

A developer running a fully automated algorithmic trading system had to intervene manually three times in a single month due to distinct structural failures. In the first case, a daily budget allocation rule repeatedly starved one sell order, which was never large enough to clear within the remaining budget, requiring a manual execution and a rule redesign. The second failure involved a drawdown guard that incorrectly blocked two valid buy orders by mixing intraday price snapshots with a metric meant to track cumulative state, prompting a fix that separated the two measurement types. A third incident occurred when the tool used to log manual trades silently misclassified a brand-new position, briefly leaving a purchased asset outside the ledger entirely. Each failure revealed a gap between a system designed to run autonomously and the edge cases that only surfaced during real-world operation.