This workflow provides a comprehensive automated system for analyzing stock market data, evaluating key technical indicators, and sharing insights via Slack. It is designed to run during U.S. market hours to monitor selected stocks, interpret their momentum through RSI and MACD metrics, and generate easy-to-understand summaries with AI assistance. The process starts with a scheduled trigger, checks if the market is open via Alpaca’s API, and proceeds only during market hours. It then fetches stock data for a predefined list, analyzes this data using Python code to determine momentum, and generates a plain-English market commentary using OpenAI’s GPT. Finally, the summary is posted to Slack, providing traders and enthusiasts real-time insights without complex technical jargon. This workflow is ideal for traders, investors, or market followers seeking timely updates on stock trends and market health, directly integrated into their communication channels.
Automated Stock Market Sentiment Analysis and Update
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.openAi, code, httpRequest, if, noOp, scheduleTrigger, set, slack, stickyNote |
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