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