Infinite Bagholder is an open-source, self-hosted Python framework for LLM-powered stock trading on Alpaca and similar brokerages. It provides a local web dashboard to monitor execution logs and agent reasoning in real time. Rather than relying on prompts to enforce risk boundaries, it runs programmatic Python guardrails (like stop-losses and allocation limits) locally before orders are dispatched. Includes a pluggable system for custom news feeds, brokerages, and tools.
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Took it for a spin this weekend and the local dashboard made it easy to watch my agent talk itself out of a trade in real time. The Python-based risk guardrails feel way more reliable than trusting prompts to behave.
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The decision to enforce risk limits in actual Python code instead of hoping the LLM listens to a prompt is exactly the kind of pragmatic engineering this space needs. Big fan of the local-first dashboard too.
Took it for a spin this weekend and the local dashboard made it easy to watch my agent talk itself out of a trade in real time. The Python-based risk guardrails feel way more reliable than trusting prompts to behave.
The decision to enforce risk limits in actual Python code instead of hoping the LLM listens to a prompt is exactly the kind of pragmatic engineering this space needs. Big fan of the local-first dashboard too.