Jitesh Dugar 
This workflow corresponds to n8n.io template #15649 — we link there as the canonical source.
This workflow follows the Agent → HTTP Request 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": "9Ptu9f5NDOyBSszJ",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "AI Stock Tracking Agent",
"tags": [],
"nodes": [
{
"id": "16fe6f90-0ada-4b3a-bb77-db96f289861f",
"name": "Convert to Stock Symbol",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
304,
128
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-nano",
"cachedResultName": "GPT-4.1-NANO"
},
"options": {},
"responses": {
"values": [
{
"content": "=Convert this stock into a stock symbol. In the output, just give me the stock symbol, no other explanation.\n\nStock Name: {{ $json.message.text }}"
}
]
},
"builtInTools": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "61c58606-53db-413b-a0b2-6a2597e69d43",
"name": "News Sentiment Analyzer",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1680,
640
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"responses": {
"values": [
{
"content": "=Analyze this following news and give your result for just 1 stock -\n\n{{ JSON.stringify($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\nIn the output, give me these information only-\n\n- Category (\"Bullish\" or \"Bearish\" or \"Neutral\")\n- Score (number between -1.0 & 1.0)\n- Rationale (max 1 sentence explaining the price impact)"
}
]
},
"builtInTools": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "345ff17e-fc3c-445a-aaa5-005e2cb1bbfa",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2592,
624
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "gpt-4o"
},
"options": {},
"builtInTools": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.3
},
{
"id": "3b5d85ab-6a01-486d-b6c0-fb0d56e05b3e",
"name": "AI Stock Tracking",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2688,
400
],
"parameters": {
"text": "=Analyze this stock: {{ $('Convert to Stock Symbol').item.json.output[0].content[0].text }}\n\nTechnical Data: \n{{ JSON.stringify($json.data[0].data) }}\n\nNews Sentiment:\n{{ $json.data[1].output[0].content[0].text }}\n",
"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):\n\n1. **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\n2. **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\n3. **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\nCRITICAL FORMATTING RULES (MANDATORY):\n1.\tABSOLUTELY NO MARKDOWN: You are strictly forbidden from using asterisks (* or ) or hashes (# or ##) anywhere in your output.\n2.\tSTRICT TELEGRAM HTML ONLY: You may ONLY use <b> for bold, <i> for italics, and <a> for links.\n3.\tBANNED HTML TAGS: You must NEVER use <img>, <ul>, <ol>, <li>, or <br> tags. Using these will crash the system.\n4.\tLISTS & SPACING: Use standard newlines (\\n) for line breaks. For lists, use the standard text bullet character (\u2022 ) instead of HTML lists.\n5.\tTHE CHART LINK: You MUST extract the raw URL string provided by the Get Chart Image tool and place it inside a hyperlink at the very bottom of your response exactly like this: <a href=\"[INSERT EXACT URL HERE]\">View Chart</a>.\n\n\n[The Chart Image Tool output will appear here automatically]"
},
"promptType": "define"
},
"typeVersion": 3.1
},
{
"id": "d698a5d0-852e-4336-97ac-29e7d08b82f8",
"name": "Get Chart Image for Stock",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
2880,
624
],
"parameters": {
"url": "https://api.chart-img.com/v2/tradingview/advanced-chart/storage",
"method": "POST",
"options": {
"response": {
"response": {}
}
},
"sendBody": true,
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "symbol",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Value', `Set TradingView Symbol.\nFormat - EXCHANGE:SYMBOL.\n\nExample - NASDAQ:MSFT`, 'string') }}"
},
{
"name": "interval",
"value": "1W"
}
]
},
"toolDescription": "Use this tool to get Chart Image for a stock",
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "V9KPuD5DH84BV3VhggenZ3ixeaMgfuxs7WXiR1p0"
}
]
}
},
"typeVersion": 4.4
},
{
"id": "cc8463c9-2b5e-4939-952f-5e695b3c0239",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-176,
-336
],
"parameters": {
"color": "#E1C7C7",
"width": 416,
"height": 624,
"content": "# Step 1: Telegram Stock Request Trigger\n\n### What This Node Does\nThis is the entry point of the workflow.\n\nIt waits for users to send a message in Telegram containing a stock/company name.\n\n### How It Works\n- Listens for incoming Telegram messages\n- Captures the user message\n- Starts the workflow automatically\n\n### Example\nUser sends:\n\n```text\nApple\n```\n\nWorkflow begins instantly."
},
"typeVersion": 1
},
{
"id": "6da5c501-ef2b-4c3d-8138-af6ecb4922a5",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
256,
-320
],
"parameters": {
"color": "#D397B1",
"width": 336,
"height": 608,
"content": "# Step 2: Convert to Stock Symbol\n\n### What This Node Does\nUses OpenAI to convert a company name into a valid stock ticker symbol.\n\n### How It Works\nThe AI:\n- Reads the company name\n- Understands the intended stock\n- Returns only the stock ticker\n\n### Example\n\n| User Input | AI Output |\n|---|---|\n| Apple | AAPL |\n| Tesla | TSLA |\n| Nvidia | NVDA |\n"
},
"typeVersion": 1
},
{
"id": "ccf4dd91-efb7-48ed-bf58-27bed3ec8c9b",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
608,
-352
],
"parameters": {
"color": "#CE95D6",
"width": 512,
"height": 416,
"content": "# Step 3: Fetch 4H Market Data\n\n### What This Node Does\nFetches 4-hour interval stock data from the TwelveData API.\n\n### Data Returned\n- Open Price\n- High Price\n- Low Price\n- Close Price\n- Volume\n\n### Why This Node Matters\nHelps analyze:\n- Short-term momentum\n- Intraday trends\n- Swing trading opportunities"
},
"typeVersion": 1
},
{
"id": "6557aa7c-e22c-4e0c-9c76-8f2e39954de6",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
736,
80
],
"parameters": {
"color": "#B0A3F0",
"width": 416,
"height": 352,
"content": "# Step 4: Fetch Daily Market Data\n\n### What This Node Does\nRetrieves daily stock candles from TwelveData API.\n\n### Why This Node Matters\nDaily candles help identify:\n- Medium-term trends\n- Support and resistance\n- Trend direction"
},
"typeVersion": 1
},
{
"id": "0b234b10-5a1c-472c-9628-e523754b7763",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
848,
448
],
"parameters": {
"color": "#B9E8EF",
"width": 448,
"height": 336,
"content": "# Step 5: Fetch Weekly Market Data\n\n### What This Node Does\nFetches weekly timeframe market data.\n\n### Why This Node Matters\nWeekly charts help analyze:\n- Long-term market structure\n- Major breakouts\n- Investor sentiment\n- Macro trend direction"
},
"typeVersion": 1
},
{
"id": "7069fc7e-4e90-4dc3-ac43-7101b5170686",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-176
],
"parameters": {
"color": "#CCCBA3",
"width": 304,
"height": 592,
"content": "# Step 6: Merge Multi-Timeframe Data\n\n### What This Node Does\nCombines all chart timeframe data into one stream.\n\n### Inputs Combined\n- 4h chart data\n- 1day chart data\n- 1week chart data\n\n### Why This Node Matters\nCreates a unified dataset for AI analysis."
},
"typeVersion": 1
},
{
"id": "d7236aff-5877-41ea-ada1-40683a46fb0c",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1600,
-32
],
"parameters": {
"color": "#F2C1A1",
"width": 352,
"height": 448,
"content": "# Step 7: Structure Technical Dataset\n\n### What This Node Does\nOrganizes all merged stock data into a single structured object.\n\n### Why This Node Matters\nMakes it easier for downstream AI nodes to process technical data efficiently.\n"
},
"typeVersion": 1
},
{
"id": "afe56755-32bf-4774-9746-ce6ca34bd177",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
1008,
800
],
"parameters": {
"color": "#C9E89C",
"width": 416,
"height": 384,
"content": "# Step 8: Fetch Stock News\n\n### What This Node Does\nFetches recent news articles related to the stock using NewsAPI.\n\n### Data Collected\n- Headlines\n- Article descriptions\n- Sources\n- Publication dates\n\n### Why This Node Matters\nMarket news strongly affects stock movement and volatility."
},
"typeVersion": 1
},
{
"id": "a32a768b-f7fb-493c-9508-f564178088cb",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1440,
464
],
"parameters": {
"color": "#FFBDF9",
"width": 576,
"height": 416,
"content": "# Step 9: News Sentiment Analyzer\n\n### What This Node Does\nUses OpenAI to evaluate how recent news may impact the stock price.\n\n### AI Analysis Includes\n- Bullish sentiment\n- Bearish sentiment\n- Neutral sentiment\n- Confidence score\n- Market rationale\n\n### Why This Node Matters\nTransforms raw news into actionable trading insight."
},
"typeVersion": 1
},
{
"id": "92ba7826-8992-496d-b3f8-a5f15953d24b",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
2032,
96
],
"parameters": {
"color": "#D3D2F9",
"width": 288,
"height": 464,
"content": "# Step 10: Merge Technical and News Data\n\n### What This Node Does\nCombines:\n- Technical market data\n- News sentiment analysis\n\ninto one unified AI context."
},
"typeVersion": 1
},
{
"id": "10210d87-0df6-41d9-9471-193f8d53a070",
"name": "Merge Technical and News Data",
"type": "n8n-nodes-base.merge",
"position": [
2128,
400
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "cc959ff5-3555-46ba-b1b5-269894572142",
"name": "Final AI Context Builder",
"type": "n8n-nodes-base.aggregate",
"position": [
2432,
400
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "f43284a7-d1a8-446c-8c84-63f64762ec5f",
"name": "Structure Technical Dataset",
"type": "n8n-nodes-base.aggregate",
"position": [
1680,
240
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "f9bdfccc-0afe-444c-876e-9396b51cd4db",
"name": "Telegram Stock Request Trigger",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-16,
128
],
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "bcec4a67-0e7f-41c7-8c29-ecab46e8a442",
"name": "Fetch 4H Market Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
864,
-80
],
"parameters": {
"url": "https://api.twelvedata.com/time_series",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "symbol",
"value": "={{ $json.output[0].content[0].text }}"
},
{
"name": "interval",
"value": "4h"
},
{
"name": "apikey",
"value": "3edbe0fcf6ab445db3587d762f902f7b"
}
]
}
},
"typeVersion": 4.4
},
{
"id": "7f5b7539-27c8-4039-b6f0-5c72c6e2ff03",
"name": "Fetch Daily Market Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
1008,
240
],
"parameters": {
"url": "https://api.twelvedata.com/time_series",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "symbol",
"value": "={{ $json.output[0].content[0].text }}"
},
{
"name": "interval",
"value": "1day"
},
{
"name": "apikey",
"value": "3edbe0fcf6ab445db3587d762f902f7b"
}
]
}
},
"typeVersion": 4.4
},
{
"id": "0576b353-4f74-472d-afbc-24759245ef97",
"name": "Fetch Weekly Market Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
1136,
592
],
"parameters": {
"url": "https://api.twelvedata.com/time_series",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "symbol",
"value": "={{ $json.output[0].content[0].text }}"
},
{
"name": "interval",
"value": "1week"
},
{
"name": "apikey",
"value": "3edbe0fcf6ab445db3587d762f902f7b"
}
]
}
},
"typeVersion": 4.4
},
{
"id": "189ebe6a-7e09-4da6-9f88-814c61013ae2",
"name": "Merge Multi-Timeframe Data",
"type": "n8n-nodes-base.merge",
"position": [
1392,
224
],
"parameters": {
"numberInputs": 3
},
"typeVersion": 3.2
},
{
"id": "4694644d-9f66-413b-b291-de8928584297",
"name": "Fetch Stock News",
"type": "n8n-nodes-base.httpRequest",
"position": [
1248,
928
],
"parameters": {
"url": "https://newsapi.org/v2/everything",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "q",
"value": "={{ $json.output[0].content[0].text }}"
},
{
"name": "from",
"value": "={{ $now.minus({ days: 7 }).toFormat('yyyy-MM-dd') }}"
},
{
"name": "sortBy",
"value": "popularity"
},
{
"name": "apiKey",
"value": "d404e1e4ddde4e8f84a93a0790a97bd5"
}
]
}
},
"typeVersion": 4.4
},
{
"id": "9cfdf00d-e352-41d3-898b-af26f564f22c",
"name": "Send Telegram Analysis Report",
"type": "n8n-nodes-base.telegram",
"position": [
3072,
400
],
"parameters": {
"text": "={{ $json.output.replace(/<img[^>]*>/gi, '') }}",
"chatId": "={{ $('Telegram Stock Request Trigger').item.json.message.chat.id }}",
"additionalFields": {
"parse_mode": "HTML",
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "b00acc1f-7f84-4c5d-9848-3eba74322413",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
2336,
208
],
"parameters": {
"color": "#C1ECD8",
"width": 304,
"height": 352,
"content": "# Step 11: Final AI Context Builder\n\n### What This Node Does\nStructures all combined stock intelligence into a clean dataset."
},
"typeVersion": 1
},
{
"id": "d603c1bf-2a82-4e83-b744-96e6761b4889",
"name": "Sticky Note11",
"type": "n8n-nodes-base.stickyNote",
"position": [
2656,
-128
],
"parameters": {
"color": "#F0E9B7",
"width": 304,
"height": 688,
"content": "# Step 12: AI Stock Tracking\n\n### What This Node Does\nActs as the master AI trading analyst.\n\n### AI Responsibilities\n- Analyze technical data\n- Analyze news sentiment\n- Detect bullish/bearish setups\n- Calculate trade entries\n- Suggest stop losses\n- Generate price targets\n- Determine risk/reward ratio\n\n### Output Includes\n- BUY / SELL / HOLD verdict\n- Confidence score\n- Trade setup\n- Risk analysis\n- Chart link"
},
"typeVersion": 1
},
{
"id": "15bfd7b8-25a3-4e1d-b09e-3fdf83246cd3",
"name": "Sticky Note12",
"type": "n8n-nodes-base.stickyNote",
"position": [
2800,
608
],
"parameters": {
"color": "#F0E9B7",
"height": 336,
"content": "\n\n\n\n\n\n\n\n\n\n\nGenerates a visual TradingView chart image using Chart-IMG API.\n\n### Features\n- Professional stock charts\n- Weekly timeframe visualization\n\n"
},
"typeVersion": 1
},
{
"id": "cbbb46a6-5438-4b6b-af15-22cdd068311a",
"name": "Sticky Note13",
"type": "n8n-nodes-base.stickyNote",
"position": [
2976,
0
],
"parameters": {
"color": "#FFD6F6",
"width": 352,
"height": 560,
"content": "# Step 13: Send a text message\n\n### What This Node Does\nSends the final AI-generated stock analysis back to the Telegram user.\n\n### Final Output Includes\n- Trading verdict\n- Confidence score\n- Entry zone\n- Stop loss\n- Target price\n- Risk/reward ratio\n- Chart link"
},
"typeVersion": 1
},
{
"id": "0b5609b3-7ade-46b2-9028-87319baddb59",
"name": "Sticky Note14",
"type": "n8n-nodes-base.stickyNote",
"position": [
3360,
16
],
"parameters": {
"color": "#FFFFFF",
"width": 896,
"height": 560,
"content": "# Telegram Output\n"
},
"typeVersion": 1
},
{
"id": "54e3431e-ffdd-41b1-a6e8-9884fc0e3699",
"name": "Sticky Note15",
"type": "n8n-nodes-base.stickyNote",
"position": [
-176,
-560
],
"parameters": {
"color": "#D7CAE3",
"width": 912,
"height": 192,
"content": "# Workflow Overview\n\n### This AI-powered workflow turns Telegram into a smart stock analysis assistant. \n### Users send a stock name, and the workflow automatically converts it into a stock symbol, fetches multi-timeframe market data, analyzes recent news sentiment using AI, and generates a professional trading decision. \n### Finally, it sends a complete BUY, SELL, or HOLD analysis report with chart links directly back to Telegram."
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": "Ur6cpCKVsvJkj7zt",
"timeSavedMode": "fixed",
"availableInMCP": false,
"executionOrder": "v1"
},
"versionId": "5291b129-686e-4301-8882-93c3ffef1121",
"connections": {
"Fetch Stock News": {
"main": [
[
{
"node": "News Sentiment Analyzer",
"type": "main",
"index": 0
}
]
]
},
"AI Stock Tracking": {
"main": [
[
{
"node": "Send Telegram Analysis Report",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Stock Tracking",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Fetch 4H Market Data": {
"main": [
[
{
"node": "Merge Multi-Timeframe Data",
"type": "main",
"index": 0
}
]
]
},
"Convert to Stock Symbol": {
"main": [
[
{
"node": "Fetch 4H Market Data",
"type": "main",
"index": 0
},
{
"node": "Fetch Daily Market Data",
"type": "main",
"index": 0
},
{
"node": "Fetch Weekly Market Data",
"type": "main",
"index": 0
},
{
"node": "Fetch Stock News",
"type": "main",
"index": 0
}
]
]
},
"Fetch Daily Market Data": {
"main": [
[
{
"node": "Merge Multi-Timeframe Data",
"type": "main",
"index": 1
}
]
]
},
"News Sentiment Analyzer": {
"main": [
[
{
"node": "Merge Technical and News Data",
"type": "main",
"index": 1
}
]
]
},
"Fetch Weekly Market Data": {
"main": [
[
{
"node": "Merge Multi-Timeframe Data",
"type": "main",
"index": 2
}
]
]
},
"Final AI Context Builder": {
"main": [
[
{
"node": "AI Stock Tracking",
"type": "main",
"index": 0
}
]
]
},
"Get Chart Image for Stock": {
"ai_tool": [
[
{
"node": "AI Stock Tracking",
"type": "ai_tool",
"index": 0
}
]
]
},
"Merge Multi-Timeframe Data": {
"main": [
[
{
"node": "Structure Technical Dataset",
"type": "main",
"index": 0
}
]
]
},
"Structure Technical Dataset": {
"main": [
[
{
"node": "Merge Technical and News Data",
"type": "main",
"index": 0
}
]
]
},
"Merge Technical and News Data": {
"main": [
[
{
"node": "Final AI Context Builder",
"type": "main",
"index": 0
}
]
]
},
"Telegram Stock Request Trigger": {
"main": [
[
{
"node": "Convert to Stock Symbol",
"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.
openAiApitelegramApi
Pro
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About this workflow
AI-Powered Stock Analysis Agent is a Telegram-based AI workflow it transforms a simple stock name into a complete trading analysis report.
Source: https://n8n.io/workflows/15649/ — original creator credit. Request a take-down →
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