This n8n workflow automates the process of analyzing stock market news sentiment daily. It retrieves stock tickers from a Google Sheet, fetches recent news articles for each ticker from EODHD, and uses Google’s Gemini language model to evaluate the news impact on stock prices with a sentiment score from -1 (negative) to 1 (positive). The workflow handles invalid tickers by logging them and combines multiple articles into a single analysis input. The sentiment analysis results, including rationales, are then logged back into a Google Sheet for review. This automation is ideal for traders or financial analysts seeking timely sentiment insights on stock news to inform their investment decisions.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, code, googleSheets, httpRequest, if, scheduleTrigger, splitInBatches, stickyNote