Jitesh Dugar This workflow corresponds to n8n.io template #8594 — 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 →
{
"id": "rKiTRgIQKUlss7fk",
"meta": {
"templateId": "8594",
"templateCredsSetupCompleted": true
},
"name": "Smart Stock Trading Recommendations with GPT-4, TwelveData & NewsAPI Analysis",
"tags": [],
"nodes": [
{
"id": "e58d9c28-2f7f-4332-ab99-1431a2f1b68a",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
112,
288
],
"parameters": {
"options": {
"responseMode": "responseNodes"
}
},
"typeVersion": 1.3
},
{
"id": "d89ad9e2-7a74-44ff-b889-7cf8435f4481",
"name": "4h trend",
"type": "n8n-nodes-base.httpRequest",
"position": [
944,
0
],
"parameters": {
"url": "https://api.twelvedata.com/time_series",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "symbol",
"value": "={{ $json.message.content }}"
},
{
"name": "interval",
"value": "4h"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "bbce42d7-e50e-4b9e-a168-a0f2f68af753",
"name": "1day trend",
"type": "n8n-nodes-base.httpRequest",
"position": [
944,
192
],
"parameters": {
"url": "https://api.twelvedata.com/time_series",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "symbol",
"value": "={{ $json.message.content }}"
},
{
"name": "interval",
"value": "1day"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "27d3fd72-380f-412e-b004-bcf101af280d",
"name": "1week trend",
"type": "n8n-nodes-base.httpRequest",
"position": [
944,
416
],
"parameters": {
"url": "https://api.twelvedata.com/time_series",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "symbol",
"value": "={{ $json.message.content }}"
},
{
"name": "interval",
"value": "1week"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "0f22b55e-8c91-4694-9fde-8810d016fce6",
"name": "Get News",
"type": "n8n-nodes-base.httpRequest",
"position": [
1568,
640
],
"parameters": {
"url": "https://newsapi.org/v2/everything",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "q",
"value": "={{ $('Convert to Stock Symbol').item.json.message.content }}"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "344af493-dad1-48f9-bdbe-d7754ca9c47e",
"name": "News Sentiment Analyzer",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1840,
576
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"content": "=Analyze the following text and produce your JSON output: {{ JSON.stringify($json.articles) }}"
},
{
"role": "system",
"content": "=You are a financial market impact analyst. Your job is not to analyze the emotional tone of the text, but to predict the likely short-term impact on the stock price.\n\nRules for Analysis:\n1. MARKET IMPACT vs. EMOTION: Distinguish between news that is \"bad\" for society (e.g., layoffs, lawsuits) but potentially \"good\" or \"neutral\" for the stock price (e.g., cost reduction, settlement priced in).\n2. SCORE: Assign a score from -1.0 (Strong Sell Pressure) to +1.0 (Strong Buy Pressure).\n - 0 is for neutral news or noise.\n - High scores (>0.7) require concrete catalysts (earnings beat, new product, upgrades).\n3. RATIONALE: Be extremely concise. Focus on the \"Why\" regarding price movement.\n\nOutput strictly valid JSON:\n{\n \"category\": \"Bullish\" | \"Bearish\" | \"Neutral\",\n \"score\": number, // between -1.0 and 1.0\n \"rationale\": \"string\" // Max 1 sentence explaining the price impact.\n}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.8
},
{
"id": "fb4954a2-9203-4574-8332-2053ec97c3bb",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
1392,
224
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "905c0187-c652-468e-9081-bff1cfde5b2f",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
1232,
224
],
"parameters": {
"numberInputs": 3
},
"typeVersion": 3.2
},
{
"id": "d7d5bb3f-8364-4cb7-9653-1ebf30d037c9",
"name": "Technical Data AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2768,
384
],
"parameters": {
"text": "==Analyze this stock: {{ $('Convert to Stock Symbol').item.json.message.content }}\n\n### 1. TECHNICAL DATA:\n{{ JSON.stringify($('Code').item.json.candles) }}\n\n### 2. NEWS SENTIMENT (24h Context):\n* **Category:** {{ $json.data[1].message.content.category }}\n* **Score:** {{ $json.data[1].message.content.score }} (Scale: -1 to +1)\n* **Rationale:** {{ $json.data[1].message.content.rationale }}\n\n### 3. LIVE & VISUAL TASKS:\n* Use `Get Stock Sentiment` to find the *very latest* rumors or earnings news for **{{ $('Convert to Stock Symbol').item.json.message.content }}**.\n* Use `Get Chart Image` to display the chart for **{{ $('Convert to Stock Symbol').item.json.message.content }}**.\n\nBased on the above, provide your recommendation.",
"options": {
"systemMessage": "=You are a Senior Quantitative Strategist at a top-tier hedge fund. Your goal is to synthesize technical data, news sentiment, and live market context to produce a high-probability trade setup.\n\n### OPERATIONAL PROTOCOL (Must Follow Order):\n1. **LIVE SENTIMENT CHECK (Mandatory):**\n - You MUST use the `Get Stock Sentiment` tool immediately to check for real-time catalysts (e.g., Earnings calls today, Fed speeches, Breaking rumors) that older news might have missed.\n - *Reasoning:* Technicals fail during high-impact news events.\n\n2. **VISUAL CONFIRMATION (Mandatory):**\n - You MUST use the `Get Chart Image` tool to render the 1-week chart.\n - Analyze the visual trend to confirm your numeric data.\n\n3. **SYNTHESIS & DECISION:**\n - **Bullish Signal:** Requires Price > 20-Day MA AND (News Score > 0.2 OR Live Sentiment is Positive).\n - **Bearish Signal:** Requires Price < 20-Day MA AND (News Score < -0.2 OR Live Sentiment is Negative).\n - **Neutral/Hold:** If Technicals conflict with Sentiment (e.g., Uptrending price but bad news), default to HOLD unless the risk/reward is > 1:3.\n\n4. **RISK MANAGEMENT:**\n - Stop Loss: MUST be below Support (for Buy) or above Resistance (for Sell).\n - Target: Must offer at least 2.0x reward relative to risk.\n\n### OUTPUT FORMAT (Strict Markdown):\nDo not output generic text. Use this exact structure:\n\n##Analysis: [Symbol]\n**The Verdict:** [BUY / SELL / HOLD] (Confidence: X/10)\n\n**Rationale:**\n* **Technical Reality:** [1 sentence on the trend/MAs]\n* **Sentiment Context:** [1 sentence integrating NewsAPI + Live Perplexity findings]\n* **Conflict Resolution:** [Explain how you weighed conflicting signals, if any]\n\n**Trade Setup:**\n* **Entry Zone:** [Price]\n* **Stop Loss:** [Price]\n* **Target:** [Price]\n* **Risk/Reward:** [Ratio]\n\n[The Chart Image Tool output will appear here automatically]"
},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "09d9912b-cdbb-41ac-9f5b-2d92cadddb9e",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2576,
592
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "gpt-4o"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "36d679d0-5b6d-4c2e-873b-1c0822093a84",
"name": "Code",
"type": "n8n-nodes-base.code",
"position": [
1904,
128
],
"parameters": {
"jsCode": "// n8n Code Node for transforming stock data\n\n// Get the input data - handle different possible structures\nlet inputData;\n\nif ($input.all()[0].json.data && Array.isArray($input.all()[0].json.data)) {\n // If data is already an array\n inputData = $input.all()[0].json.data;\n} else if ($input.all()[0].json.data[0] && $input.all()[0].json.data[0].data) {\n // If data has nested data property\n inputData = $input.all()[0].json.data[0].data;\n} else {\n // Try the raw input\n inputData = $input.all()[0].json;\n}\n\n// Log for debugging (remove after testing)\nconsole.log(\"Input structure:\", JSON.stringify(inputData).substring(0, 200));\n\nif (!Array.isArray(inputData) || inputData.length === 0) {\n throw new Error(\"Could not find valid data array in input\");\n}\n\nconst output = {\n stock_symbol: inputData[0].meta.symbol,\n candles: {\n \"4h\": [],\n \"1day\": [],\n \"1week\": []\n }\n};\n\n// Process each interval type\ninputData.forEach(intervalData => {\n const interval = intervalData.meta.interval;\n \n if (output.candles[interval]) {\n intervalData.values.forEach(candle => {\n output.candles[interval].push({\n datetime: candle.datetime,\n open: parseFloat(candle.open),\n close: parseFloat(candle.close),\n high: parseFloat(candle.high),\n low: parseFloat(candle.low),\n volume: parseInt(candle.volume)\n });\n });\n }\n});\n\nreturn output;"
},
"typeVersion": 2
},
{
"id": "e1b272a7-2de0-47cd-a7ed-66adee5205f4",
"name": "Think",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
2784,
640
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "64480805-811b-4ab3-871e-13cee359226a",
"name": "Get Stock Sentiment",
"type": "n8n-nodes-base.perplexityTool",
"position": [
2944,
656
],
"parameters": {
"options": {},
"messages": {
"message": [
{
"content": "=Give me recent sentiment about this stock: {{ $('When chat message received').item.json.chatInput }}"
}
]
},
"requestOptions": {}
},
"credentials": {
"perplexityApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "799885b8-c23b-44f3-a0d3-ac2a31051230",
"name": "Check Twelvedata API Success",
"type": "n8n-nodes-base.switch",
"position": [
1616,
224
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Success",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "24b4ab24-3435-42a1-8a43-80c32f41b938",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('4h trend').item.json.status }}",
"rightValue": "ok"
}
]
},
"renameOutput": true
},
{
"outputKey": "Error",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "df95719f-22f3-4af3-9886-f3dfae4fde71",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $('4h trend').item.json.status }}",
"rightValue": "ok"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "8a313633-398e-454c-8f18-bb4b2a665fd1",
"name": "Get Chart Image for Stock",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
3392,
768
],
"parameters": {
"url": "https://api.chart-img.com/v2/tradingview/advanced-chart/storage",
"method": "POST",
"options": {
"response": {}
},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "height",
"value": "300"
},
{
"name": "theme",
"value": "dark"
},
{
"name": "interval",
"value": "1W"
},
{
"name": "style",
"value": "baseline"
},
{
"name": "symbol",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters4_Value', `set tradingview symbol EXCHANGE:SYMBOL. Example - NASDAQ:MSFT`, 'string') }}"
}
]
},
"genericAuthType": "httpHeaderAuth",
"toolDescription": "Get Chart Image for a Stock for the last 1 week"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "ced4c850-4182-451c-ba54-7c4bc00d40a3",
"name": "Respond with Error",
"type": "@n8n/n8n-nodes-langchain.chat",
"position": [
1904,
368
],
"parameters": {
"message": "=There was an error: {{ $json.data[0].message }}",
"options": {},
"waitUserReply": false
},
"typeVersion": 1
},
{
"id": "66370ec1-4c88-4e92-b10e-3302d11488cf",
"name": "Respond to Chat",
"type": "@n8n/n8n-nodes-langchain.chat",
"position": [
3232,
384
],
"parameters": {
"message": "={{ $json.output }}",
"options": {},
"waitUserReply": false
},
"typeVersion": 1
},
{
"id": "c9c3f88f-8ed6-4413-a4db-d1861b575b84",
"name": "Convert to Stock Symbol",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
416,
288
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"content": "=I will give you a stock name, just return me the stock symbol. Strictly - Nothing else at all.\n\nStock Name: {{ $json.chatInput }}"
}
]
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.8
},
{
"id": "26bc4bf6-cae8-4478-8b8a-96033c5fb50d",
"name": "Merge News & Technical",
"type": "n8n-nodes-base.merge",
"position": [
2192,
384
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "07b32114-e812-4020-97cf-e71eac41afea",
"name": "Aggregate to a single list",
"type": "n8n-nodes-base.aggregate",
"position": [
2416,
384
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "5930faea-8e92-4279-9595-eee74b2963e0",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
784,
-176
],
"parameters": {
"color": 5,
"width": 384,
"height": 768,
"content": "## STOCK PRICE TREND\n* Fetch using TwelveData APIs\n* Get your free API Key from here: https://twelvedata.com/\n* Replace your API Key under the Credentials"
},
"typeVersion": 1
},
{
"id": "bcceb836-7cbf-4bee-9e1b-a4a49b319c70",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1488,
464
],
"parameters": {
"color": 4,
"width": 288,
"height": 352,
"content": "## NEWS API\n* Get your free API key from here: https://newsapi.org/\n* Replace your API Key under the Credentials"
},
"typeVersion": 1
},
{
"id": "7689378b-b357-4105-aef2-e81eb619322d",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
3216,
624
],
"parameters": {
"color": 4,
"width": 432,
"height": 352,
"content": "## CHART-IMG API\n* Get your free API key from here: http://chart-img.com/\n* Replace your API Key under the Credential\n* Optional Step. You can even delete this"
},
"typeVersion": 1
}
],
"active": true,
"settings": {},
"versionId": "0a3130fd-b0ff-4670-b07b-b2206a433bd2",
"connections": {
"Code": {
"main": [
[
{
"node": "Merge News & Technical",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Think": {
"ai_tool": [
[
{
"node": "Technical Data AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"4h trend": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Get News": {
"main": [
[
{
"node": "News Sentiment Analyzer",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Check Twelvedata API Success",
"type": "main",
"index": 0
}
]
]
},
"1day trend": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"1week trend": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 2
}
]
]
},
"Respond to Chat": {
"main": [
[]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Technical Data AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Get Stock Sentiment": {
"ai_tool": [
[
{
"node": "Technical Data AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Merge News & Technical": {
"main": [
[
{
"node": "Aggregate to a single list",
"type": "main",
"index": 0
}
]
]
},
"Convert to Stock Symbol": {
"main": [
[
{
"node": "4h trend",
"type": "main",
"index": 0
},
{
"node": "1day trend",
"type": "main",
"index": 0
},
{
"node": "1week trend",
"type": "main",
"index": 0
},
{
"node": "Get News",
"type": "main",
"index": 0
}
]
]
},
"News Sentiment Analyzer": {
"main": [
[
{
"node": "Merge News & Technical",
"type": "main",
"index": 1
}
]
]
},
"Technical Data AI Agent": {
"main": [
[
{
"node": "Respond to Chat",
"type": "main",
"index": 0
}
]
]
},
"Get Chart Image for Stock": {
"ai_tool": [
[
{
"node": "Technical Data AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Aggregate to a single list": {
"main": [
[
{
"node": "Technical Data AI Agent",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Convert to Stock Symbol",
"type": "main",
"index": 0
}
]
]
},
"Check Twelvedata API Success": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
],
[
{
"node": "Respond with Error",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpHeaderAuthopenAiApiperplexityApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This template automates stock analysis by combining technical analysis, news sentiment, and real-time market data to generate actionable trading recommendations with confidence scores, risk management parameters, and entry/exit levels. Data-Driven Decisions: Eliminates emotional…
Source: https://n8n.io/workflows/8594/ — original creator credit. Request a take-down →
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