Automated Stock Sentiment and News Analysis Workflow

somdn_product_page

This n8n workflow automates the process of analyzing stock sentiment based on recent news. It begins with a webhook trigger that activates when a chat message is received, allowing users to input a company or stock ticker. The workflow then captures the current date to define a one-week news window. Using web search capabilities powered by Langchain and SearXNG, it searches for the latest news articles related to the specified company or stock within that time frame. The research agent reviews these articles, summarizes the key points, and the sentiment analysis agent evaluates whether the overall market sentiment is positive, negative, or neutral from an investor’s perspective. The entire process provides a streamlined way for investors, financial analysts, or traders to quickly gauge market sentiment and stay informed about recent developments that could impact stock prices. Practical uses include monitoring market sentiment for investment decisions, tracking news sentiment around specific stocks, or integrating similar analysis into broader financial dashboards.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.toolSearXng, dateTimeTool, stickyNote

Reviews

There are no reviews yet.

Be the first to review “Automated Stock Sentiment and News Analysis Workflow”

Your email address will not be published. Required fields are marked *