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Phoenix Research
@0xPhoenix77
🪶 DeFi Researcher Crypto narratives & trenches radar
Joined August 2011
1.8K Following    12.1K Followers
Is the moat of AI products for traders really in the model? Claude, GPT, and Gemini are all getting smarter. But for trading, intelligence means very little if the model is looking at stale market data. What I actually need is a model that knows where to look when the market moves. For example, if I ask why a ticker pumped hard, a normal chatbot can probably give me a few reasonable hypotheses. But what I actually want is for it to check: + How funding, OI, and liquidations are changing + Whether there’s anything unusual in exchange flows or token unlocks + Whether there’s any new news, filing, or catalyst @BasedOneX Infinity fits this need by developing the model alongside the data harness behind it. > The system currently connects to 16 data sources across derivatives, onchain, fundamentals, macro, and news. > Fast-moving market data is fetched when the user queries, while news, filings, and research are ingested hourly. > Answers also come with citations so users can verify them instead of having to fully trust the AI. I think this is the right approach for AI built for traders, because it stays close to what traders actually need instead of just giving them a mixed aggregation of raw data. Infinity is currently free to test during Research Preview. If you sign up between Aug 13–27, new users receive an extra $5 in AI credits to access Claude, GPT, Kimi, DeepSeek, and several other models. Registration link in the comments.
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