Paul This workflow corresponds to n8n.io template #7261 — we link there as the canonical source.
This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
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"Get MACD": {
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]
},
"Aggregate1": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"MAIN AGENT": {
"main": [
[
{
"node": "Markdown to HTML",
"type": "main",
"index": 0
}
]
]
},
"Split Out2": {
"main": [
[
{
"node": "Edit Fields4",
"type": "main",
"index": 0
}
]
]
},
"Split Out3": {
"main": [
[
{
"node": "Edit Fields3",
"type": "main",
"index": 0
}
]
]
},
"industries": {
"ai_tool": [
[
{
"node": "MAIN AGENT",
"type": "ai_tool",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Get Chart URL",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "Trend + Technical Agent",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields3": {
"main": [
[
{
"node": "Get News Data1",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields4": {
"main": [
[
{
"node": "Limit1",
"type": "main",
"index": 0
}
]
]
},
"Set Variable": {
"main": [
[
{
"node": "Merge-2",
"type": "main",
"index": 0
}
]
]
},
"Get Chart URL": {
"main": [
[
{
"node": "Download Chart",
"type": "main",
"index": 0
}
]
]
},
"Gmail Trigger": {
"main": [
[
{
"node": "Set message variable",
"type": "main",
"index": 0
}
]
]
},
"Slack Trigger": {
"main": [
[
{
"node": "Set message variable",
"type": "main",
"index": 0
}
]
]
},
"Download Chart": {
"main": [
[
{
"node": "First Technical Analysis",
"type": "main",
"index": 0
}
]
]
},
"Get News Data1": {
"main": [
[
{
"node": "Aggregate1",
"type": "main",
"index": 0
}
]
]
},
"Organizing Data": {
"main": [
[
{
"node": "Merge-2",
"type": "main",
"index": 1
}
]
]
},
"Reranker Cohere": {
"ai_reranker": [
[
{
"node": "Supabase Vector Store1",
"type": "ai_reranker",
"index": 0
}
]
]
},
"Markdown to HTML": {
"main": [
[
{
"node": "Send report",
"type": "main",
"index": 0
}
]
]
},
"Telegram Trigger": {
"main": [
[
{
"node": "Set message variable",
"type": "main",
"index": 0
}
]
]
},
"WhatsApp Trigger": {
"main": [
[
{
"node": "Set message variable",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Get Price History": {
"main": [
[
{
"node": "Calculate Support Resistance",
"type": "main",
"index": 0
},
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Supabase Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Get Bollinger Bands": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Set message variable": {
"main": [
[
{
"node": "MAIN AGENT",
"type": "main",
"index": 0
}
]
]
},
"Warp as JSON for GPT": {
"main": [
[
{
"node": "Set Final Response",
"type": "main",
"index": 0
}
]
]
},
"Trends Analysis Tool1": {
"ai_tool": [
[
{
"node": "Trend + Technical Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenRouter Chat Model2": {
"ai_languageModel": [
[
{
"node": "Trend + Technical Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Supabase Vector Store1": {
"ai_tool": [
[
{
"node": "MAIN AGENT",
"type": "ai_tool",
"index": 0
}
]
]
},
"First Technical Analysis": {
"main": [
[
{
"node": "Set Variable",
"type": "main",
"index": 0
}
]
]
},
"Technical Analysis Tool1": {
"ai_tool": [
[
{
"node": "Trend + Technical Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Set message variable",
"type": "main",
"index": 0
}
]
]
},
"Generate Variables For API1": {
"main": [
[
{
"node": "Split Out3",
"type": "main",
"index": 0
}
]
]
},
"Calculate Support Resistance": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Call trend + technical Agent": {
"ai_tool": [
[
{
"node": "MAIN AGENT",
"type": "ai_tool",
"index": 0
}
]
]
},
"Set Stock Symbol and API Key": {
"main": [
[
{
"node": "Get Price History",
"type": "main",
"index": 0
},
{
"node": "Get Bollinger Bands",
"type": "main",
"index": 0
},
{
"node": "Get MACD",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}
Pro
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How this works
This workflow delivers professional-grade stock research reports by combining data from Danelfin, Twelvedata and Alpha Vantage with AI analysis, giving investors and traders rapid access to multi-source insights without manual research. It processes user queries through vector retrieval and reranking to surface relevant financial information, then generates structured reports that blend quantitative metrics with contextual commentary. The key step is the orchestration of multiple financial APIs with AI reasoning to produce consistent, evidence-based outputs.
Use it when you need quick, cross-referenced stock analysis for individual tickers or small portfolios; avoid it for high-frequency trading signals or regulatory filings that require official audited data. Common variations include swapping one data provider for another or adjusting the depth of AI commentary based on audience needs.
About this workflow
This intelligent chatbot leverages cutting-edge financial APIs and AI-driven analysis to deliver comprehensive stock research reports. Get instant access to professional-grade investment analysis that combines multiple data sources for informed decision-making. Powered by…
Source: https://n8n.io/workflows/7261/ — original creator credit. Request a take-down →
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