18 小時前
pretty simple how this works:
> it fetches price, trading (open interest, volume) and indicator data (ema, macd, etc) from sources
> provide it as context + account details + positions + old rationales
> sends this to LLM, it will think and respond decisions
19 小時前
bringing back: new-day-new-hack
first, shoutout to the legends at @the_nof1. they launched Alpha Arena, 6 AI models trading real money in real markets.
it’s one of the coolest experiments in agentic finance right now.
so… i hacked my own. introducing:
nocturne: trading agent, on hyperliquid, similar spirit, but verifiable + open access. and it's open source.
anyone can fork it, run it on your machine or deploy it on eigencloud forever
code in replies + instructions to deploy in the video
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