this MIT quant paper is f*cking insane it turns Grok Bot into an actual operating system for quantitative trading not one model guessing the next move a full stack: research agent → finds ideas signal agent → builds + validates them risk agent → sizes exposure + enforces limits execution agent → places trades + monitors fills decision layer → routes what happens next the crazy part is every signal has to survive: out-of-sample tests multiple regimes transaction costs slippage stress tests and even after that, deterministic code still owns position limits, leverage caps, kill switches, and execution rules so Grok Bot can search aggressively while the system stays conservative with capital the model finds possibilities the risk layer decides what is allowed to become a trade bookmark before this thread gets buried