AI Market Sentiment
Classify a short text's sentiment toward a specific asset — a crypto coin OR a US stock ticker — with live market context (price, trend, crypto Fear & Greed, equity/cashtag identity) gathered automatically so the model resolves market-native rhetoric — 'inverse BTC', contrarian/fade language, cashtag proxies — against actual market direction. Subjects resolve via CoinGecko (crypto) with a Finnhub equity fallback for tickers like AAPL/NVDA. Runs on Caddie's task-graph runtime; the action is a signed proxy. Single LLM call, fixed structured output. Ideal for: tweet/headline-triggered trading workflows, sentiment-based alerts, contrarian signal detection. Drop-in replacement for an AI Prompt node doing sentiment classification — the failure mode it fixes is the model never seeing market state.
