Trading system strips LLM execution rights

The division mostly makes sense: once money is on the line, deterministic rules should own trigger and sizing, and the LLM should stay in the fuzzy layer where interpretation, ranking, and exception handling matter.

• –Keeping M15/M5 trigger logic fully deterministic is the right move if the goal is reproducibility, backtestability, and fewer “almost valid” discretionary trades
• –Step 1 and 2 are probably giving the LLM enough responsibility already; it should rank or choose among precomputed candidates, not invent structure from raw price action
• –Separating HTF and Structure agents helps debugging and failure attribution, especially when you need to know whether the miss was narrative selection or POI selection
• –If token budget becomes a problem, merge only after the Python extractors are stable; premature merging usually hides errors instead of fixing them
• –The Context agent is the weakest link unless hard vetoes like news blackouts and killzones are enforced in Python, not merely suggested by the model