This n8n workflow automates comprehensive financial data analysis and market insights generation to support trading decisions. It integrates multiple AI models, data sources, and APIs to perform technical analysis, generate market summaries, and provide trading strategies. The process begins with scheduled triggers to ensure timely updates, then pulls financial data such as price history, Bollinger Bands, and MACD indicators via HTTP requests. The workflow also utilizes AI-powered tools for trend and technical analysis, sentiment and news data gathering, and decision-making assistance. It incorporates vector storage with Supabase for embeddings and relevance ranking, and uses advanced language models for analysis and report creation. Ultimately, it delivers actionable insights and reports via email or other endpoints, making it valuable for traders, analysts, and financial decision-makers seeking automated, data-driven market analysis.
Automated Financial Insights and Market Analysis Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.agentTool, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.rerankerCohere, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolThink, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, aggregate, code, filter, gmail, httpRequest, httpRequestTool, limit, markdown, merge, postgresTool, scheduleTrigger, set, splitOut, stickyNote |
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