This n8n workflow automates the process of aggregating forex news and analyzing market sentiment. It begins with a scheduled trigger that initiates the workflow periodically. Multiple RSS feeds related to forex news, technical analysis, fundamental data, and market orders are read simultaneously using RSS feed nodes. The feeds are then merged into consolidated streams for each category. A filtering step ensures relevant data proceeds to the analysis phase.
The workflow integrates advanced language models, such as Google Gemini, to analyze market sentiment and generate insights based on the news. An agent node further interprets the data, providing comprehensive analysis outputs. The results are sent via a Telegram node, enabling real-time notifications to traders or analysts.
This automation is especially useful for forex traders, market analysts, or financial news aggregators who need up-to-date news and sentiment analysis without manual intervention. It ensures timely insights, helping users make informed trading decisions or market assessments.
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