AllPath: Layered Verification for a Deployed, Self-Revising LLM Trading Agent under Human-Gated and Autonomous Regimes

Key points

• Deployment, where actions are irreversible, raises a different question: who verifies the agent's actions, and which failures can each verifier structurally catch?1
• We report on AllPath, a personal LLM trading agent deployed against a live paper-brokerage account.1
• Code verifies what must not depend on judgment: deterministic gates enforce risk limits and block any strategy revision that fails an integrity check.1
• We also compared two verification policies for the agent's self-revisions on the live system: two and a half weeks with every self-revision human-gated, then five weeks with reflection revisions auto-applied behind the same code gates, while the operator's chat channel stayed human-gated throughout.1

Sources (1)

• [1]AllPath: Layered Verification for a Deployed, Self-Revising LLM Trading Agent under Human-Gated and Autonomous Regimes
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 04:18 PM

  LLM trading agents are evaluated almost exclusively in backtests and autonomous benchmark harnesses.

  Deployment, where actions are irreversible, raises a different question: who verifies the agent's actions, and which failures can each verifier structurally catch?

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