Block 1 - loop_over_tickers
- Type / Role
- n8n-nodes-base.splitInBatches - splitInBatches
- Config choices
- Version 3
A professional AI equity analysis automation built on n8n that transforms structured financial data and real time news into disciplined, risk adjusted price targets and actionable BUY/HOLD/SELL sig...
n8n-nodes-base.splitinbatches, n8n-nodes-base.googlesheets, n8n-nodes-base.scheduletrigger, n8n-nodes-base.stickynote, n8n-nodes-base.code, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.xml
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Mo AlBarrak.
Original n8n.io sourceA professional AI equity analysis automation built on n8n that transforms structured financial data and real-time news into disciplined, risk-adjusted price targets and actionable BUY/HOLD/SELL signals โ delivered through automation channels like Telegram or dashboards.
Key Features
Automated Fundamental & News Parsing: Ingests financial metrics and analyst-grade news streams into a unified valuation engine.
Phase-Aware Valuation Logic: Recognizes growth vs mature companies, applying appropriate valuation methods (EPS, revenue multiples, fundamentals) to avoid unrealistic targets.
Implied P/E Sanity Gate: Prevents misleading EPS-based valuations on growth/transition phase stocks.
Bear/Base/Bull Scenario Generation: Produces three price targets with institutional-standard bands and logic.
Risk & Confidence Scoring: Combines F-Score with qualitative risk extraction from news to produce a confidence index (20โ90).
Structured JSON Output: Designed for automation, feeds dashboards, alerts, APIs, or downstream analytics.
Cross-Model Verification (optional): Works with multi-model LLM consensus (e.g., GPT + Gemini) for enhanced reliability.
Ideal For
Asset managers & analysts who want automated equity valuations
Retail platforms seeking a disciplined valuation engine
Fintech products integrating AI-powered stock insights
Educators and research teams needing structured valuation tools
โ๏ธ Technical Notes (Best Practice for Production)
Rate-Limit & Timers for Long Lists If processing a long watchlist via HTTP requests (e.g., financial APIs, news APIs), you should add timers (Wait nodes) or rate-limit controls before each HTTP request to:
Respect API quotas & avoid throttling
Reduce workflow errors under heavy loads
Improve reliability for automated batch runs
This is especially important when using workflows that fetch quotes, historical data, or news articles for multiple stocks in sequence.
๐ Use Cases ๐น Daily Watchlist Runner
Run nightly analysis on a portfolio and distribute targets + risk insights via Telegram or email.
๐น API Feed
Expose JSON results via webhook/API for downstream apps and dashboards.
๐น Research & Alerts
Trigger alerts when confidence shifts, price targets are breached, or news alters thesis.
๐ง Why This Is Valuable
Unlike simple โchatโ bots that give generic responses, this workflow encodes institutional valuation discipline โ no hallucinated price points, no fuzzy narratives โ just structured, defensible outputs.
This makes it compelling to:
Professional users
Startup investors
SaaS subscription customers
Fintech integrators
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 51 workflow blocks. Download the JSON for the full node graph.
| Workflow | Generate institutional-grade stock price targets and BUY/HOLD/SELL signals with GPT-5, Gemini, Alpha Vantage and Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 51 |
| Categories | Crypto Trading, AI Summarization |
| Author | Mo AlBarrak |
| Published | 25 Feb 2026 |
Use the JSON export at /data/workflows/13701/13701.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
A professional AI equity analysis automation built on n8n that transforms structured financial data and real time news into disciplined, risk adjusted price targets and actionable BUY/HOLD/SELL sig...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Crypto Trading, AI Summarization use case.