Generate institutional-style stock price targets and BUY/HOLD/SELL alerts with ChatGPT and Gemini

by Mo AlBarrak ✓ · 694 views · created 2026-03-15 · Crypto Trading, AI Summarization

What this workflow does

This AI workflow has 79 nodes and runs on a schedule (every 3 days at 16:00). Along the way it connects Google Sheets, Telegram, OpenAI and Google Gemini.

How it runs

Trigger: On a schedule (every 3 days at 16:00).

1. Read_tickers_from_Sheet (Google Sheets): uses Google Sheets
2. loop_over_tickers (Loop Over Items (Split in Batches)): loops over the items in batches
3. Build Summary (Code): runs custom JavaScript code
4. Cache Lookup (Google Sheets): uses Google Sheets
5. Seekingalpha Articles (HTTP Request): calls an HTTP API
6. Send a text message (Telegram): uses Telegram
7. Check the cache (Code): runs custom JavaScript code
8. Clean the news (Code): runs custom JavaScript code
9. Is Cache Valid? (If): checks a condition and branches into true / false
10. If: checks a condition and branches into true / false

…plus 68 more steps. See the full node list below.

Services it uses

Google SheetsTelegramOpenAIGoogle Gemini

Before you upgrade to n8n 3.0

Nodes used (13)

• Loop Over Items (Split in Batches)n8n-nodes-base.splitInBatches
• Google Sheetsn8n-nodes-base.googleSheets
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Coden8n-nodes-base.code
• Mergen8n-nodes-base.merge
• XMLn8n-nodes-base.xml
• Ifn8n-nodes-base.if
• Edit Fields (Set)n8n-nodes-base.set
• HTTP Requestn8n-nodes-base.httpRequest
• Waitn8n-nodes-base.wait
• Telegramn8n-nodes-base.telegram
• OpenAI@n8n/n8n-nodes-langchain.openAi
• Google Gemini@n8n/n8n-nodes-langchain.googleGemini

From the author

AI Institutional Stock Valuation Engine with Risk Scoring & Scenario Targets A professional-grade AI equity analysis automation built on n8n that ingests live financial data and news, runs it through a dual-LLM valuation engine with a built-in tiebreaker, and…

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