Adversarial financial-critic LLM for trading-rationale evaluation. MiniCrit-1.5B is an adversarial financial-critic model trained to evaluate and rebut trading rationales produced by other language models. It is intended as a validator layer for systems where weak or hallucinated reasoning could create financial risk. The model does not generate trades. It critiques reasoning only. Design intent — the behaviours the model was trained toward, not measured - detect flawed or risky trading logic - identify unsupported financial statistics - flag improper use of indicators - produce adversarial rebuttals - review rationales before execution No capability claim is made for this model. A previous…