Automated Market Analysis via Telegram and AI

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This n8n workflow streamlines market analysis by integrating Telegram, OpenAI, and Langchain tools to generate insights from financial charts. The process starts with a Telegram trigger that enables users to interact with the system via messages. When activated, the workflow fetches a specific chart through an HTTP request and invokes an AI language model for analysis. It also supports executing other workflows for additional data or triggers. The core component involves an AI agent backed by Langchain technology, which processes user prompts and context stored in a memory buffer for coherent responses. The workflow can analyze the chart, generate insights, and deliver results back to the user via Telegram, making it ideal for traders, financial analysts, or anyone needing quick market summaries. Furthermore, the setup allows for automated, real-time conversations and data analysis, enhancing decision-making in trading or investment scenarios.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.toolWorkflow, code, executeWorkflowTrigger, httpRequest, set, stickyNote, telegram, telegramTrigger

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