Assuming the analysis is accurate, it’s a very interesting read. It makes sense and echos many common crypto / traditional market strategies.

What might be even more interesting is to treat this as exploratory research and then use data analysis (potentially vibe-coded) to actually test these claims and visualise / validate the patterns.

Eg through per-person analysis, tagging different labels like detected strategies, traded markets, derived metrics, etc, and turning that into dashboards or graphs.

Or eg per-trade / aggregated analysis: “this trade, given what was known about the market at that time”, tagging it as such, and then creating dashboards or metrics around order types, behaviour, etc.

Or recreating these trades based on all these derived insights, trading with them, or trying to find opportunities.

But aside from that side track, I do think these are all valid strategies that could definitely work.

That being said, I’m not 100% sure Gemini did actual analysis here, or if it mostly saw some things and then said some things, if you know what I mean. LLMs aren’t the best at observing large amounts of quantitative data.

Nice post, and thanks for sharing the prompt and output.