Comment on: Show HN: LangAlpha – what if Claude Code was built for Wall Street?

The "cool visuals over verified results" critique is valid but undersells the harder problem underneath. For any Wall Street deployment you need more than results-match-reality, you need a decision record that satisfies MiFID II / FINRA rules about investment recommendation audit. Persistent workspaces + memory files are a feature for the researcher and a regulatory question mark for compliance. If a regulator asks "what did the agent recommend last Tuesday and which data snapshot did it reason over?", can you answer? With the auto-generated Python module approach you'd need to pin module version, data fetch timestamps, model version, and prompt state, all to a single immutable record per recommendation. None of that falls out of a normal agent framework. Curious whether LangAlpha has thought about signed execution logs per session. Not as a sales feature but as a prerequisite for a firm running this in anger. Financial is one of the few verticals where "we don't know what we said yesterday" is a deployment blocker.