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Developer's naked trading bot lost $4,232; a risk-limiting wrapper cut losses to $900

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A developer reports that a deliberately aggressive dip-buying trading bot lost $4,232 in a simulated 25-day crash when run without restrictions. The same strategy, run inside an open-source Python library called cagerail, which enforces order caps, daily-loss and drawdown halts, a cooldown after losing fills, and an approval gate, ended with a $900 loss and a 14.9% maximum drawdown. The author argues that the danger in AI trading agents lies in unchecked permissions rather than the models themselves. The library is MIT-licensed, has no dependencies, and is hosted on GitHub. The author cautions that such limits only slow losses and that strategies should be tested on paper first.

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