Thread by @alphabatcher
AI · · 1 min read · x.com ↗
Alpha Batcher @alphabatcher 2026-05-04
People keep trying to build AI trading bots
the better product is an AI research memory
trading bots hallucinate, research memories compound
Hermes becomes useful when it has three things:
1. source flow
> X accounts
> bookmarks
> news
> dashboards
> market data
> prediction markets
2. personal context
> positions
> theses
> risk appetite
> watchlist
> entry reasons
> exit targets
> past mistakes
3. recurring synthesis
> daily brief
> weekly pattern review
> stress test
> alert layer
> thesis update
that is why this setup is different from asking ChatGPT for market takes
ChatGPT gives you a generic answer
Hermes can answer inside your actual life
“this matters because you already hold X”
“this contradicts thesis 2”
“this is relevant to the exit level you set last week”
“you said you tend to baghold this kind of trade”
that is better memory plus better inputs
the analyst is not valuable because it predicts the future
it is valuable because it watches the right things every day and remembers what you told it yesterday
the product idea here is obvious:
not AI that trades for you
AI that stops you from missing the signal you already said mattered
2026-05-04
Gipp @gippp69 2026-05-04
Hermes is something new for me
Alpha Batcher @alphabatcher 2026-05-04
same as me bro
Blum @Blum_OG 2026-05-04
gonna verify those three points in my agent rn, thx for the breakdown
Alpha Batcher @alphabatcher 2026-05-04
appreciate for feedback too