{ "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: {{ $json.message.text }}" } ] }, "builtInTools": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 2.1 }, { "id": "61c58606-53db-413b-a0b2-6a2597e69d43", "name": "News Sentiment Analyzer", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [ 1680, 640 ], "parameters": { "modelId": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini", "cachedResultName": "GPT-4.1-MINI" }, "options": {}, "responses": { "values": [ { "content": "=Analyze this following news and give your result for just 1 stock -\n\n{{ JSON.stringify($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": "" } }, "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": "" } }, "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 for bold, for italics, and for links.\n3.\tBANNED HTML TAGS: You must NEVER use ,
    ,
      ,
    1. , or
      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:       View Chart.\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": "" } }, "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(/]*>/gi, '') }}", "chatId": "={{ $('Telegram Stock Request Trigger').item.json.message.chat.id }}", "additionalFields": { "parse_mode": "HTML", "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } }, "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![image](\nhttps://cdn.uploadtourl.com/e7638dcb-ddb5-4407-b078-cefa0749e508_file.png#full-width)" }, "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 } ] ] } } }