This n8n workflow integrates sentiment analysis and stock trading automation on Alpaca. Triggered daily after US market hours, it retrieves account details, analyzes sentiment scores from Google Sheets, and selects top stocks for trading. The workflow compares current positions with sentiment-based picks, selling underperformers and buying promising stocks in a systematic manner. It logs all transactions and account changes in Google Sheets for tracking. Practical use cases include algorithmic trading strategies driven by sentiment analysis, helping traders automate decision-making based on market mood and stock performance data.
Automated Stock Trading with Sentiment Analysis
Node Count | 11 – 20 Nodes |
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Nodes Used | code, googleSheets, httpRequest, merge, scheduleTrigger, splitOut, stickyNote, wait |
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