{"workflow":{"id":12947,"name":"Track weekly portfolio risk using GPT-4.1, Slack alerts, and Google Sheets","views":138,"recentViews":0,"totalViews":138,"createdAt":"2026-01-23T14:09:10.313Z","description":"📊 Description\nThis workflow reads your portfolio from Google Sheets, fetches market data, evaluates key risk factors such as sector concentration, volatility, and stock correlation, and generates an easy-to-understand risk summary using AI.\nWhen meaningful risk is detected, the workflow sends a structured alert to Slack and stores a weekly risk snapshot in Google Sheets for tracking trends over time. This automation is designed to help investors, analysts, and teams understand portfolio risk clearly without manual analysis or constant monitoring.\n\n## 🔁 What This Workflow Does\n1️⃣ Runs automatically on a weekly schedule using a Schedule Trigger\n 2️⃣ Reads portfolio holdings from Google Sheets\n 3️⃣ Validates portfolio data to ensure required fields are present\n 4️⃣ Processes stocks in batches to avoid API rate limits\n 5️⃣ Fetches historical price data from Alpha Vantage\n 6️⃣ Normalizes market data into a consistent structure\n 7️⃣ Calculates portfolio-level risk metrics.\n 8️⃣ Generates a single portfolio risk score and risk flag\n 9️⃣ Uses AI to explain detected risks in simple language\n 🔟 Sends a clear weekly risk alert to Slack\n 1️⃣1️⃣ Stores a summarized weekly risk snapshot in Google Sheets\n 1️⃣2️⃣ Handles invalid data safely to avoid noisy or misleading alerts\n\n## ⭐ Key Benefits\n✅ Understand portfolio risk at a glance\n ✅ Detect sector overexposure and diversification issues early\n ✅ Receive only meaningful, high-signal alerts\n ✅ Simple AI explanations instead of raw numbers\n ✅ Automatic weekly risk history stored in Google Sheets\n ✅ No financial advice, only analytical insights\n ✅ Designed for reuse and easy customization\n\n## 🧩 Features\n- Weekly automated portfolio risk analysis\n-  Google Sheets–based portfolio input\n-  Alpha Vantage market data integration\n-  Batch processing with rate-limit protection\n-  Sector, volatility, and correlation risk analysis\n-  Portfolio risk scoring system\n-  AI-generated risk explanations\n-  Slack alerts for detected risk\n-  Google Sheets storage for historical tracking\n\n## 🔐 Requirements\n- Google Sheets credentials\n-  Alpha Vantage API key\n-  Slack credentials (OAuth or webhook)\n-  AI provider API key \n\n## 🎯 Target Audience\n- Long-term and active investors\n-  Portfolio and risk analysts\n-  Finance and operations teams\n-  Fintech and investment platforms\n-  Automation engineers building financial workflows","workflow":{"id":"sTKd0mkq1gtcv7uJ","meta":{"instanceId":"8443f10082278c46aa5cf3acf8ff0f70061a2c58bce76efac814b16290845177","templateCredsSetupCompleted":true},"name":"Track Weekly Portfolio Risk Using AI, Slack Alerts, and Google Sheets","tags":[],"nodes":[{"id":"3046421b-2102-4ed3-80f9-2606215a2eaf","name":"Validate Portfolio Input","type":"n8n-nodes-base.code","position":[448,0],"parameters":{"jsCode":"// Validate portfolio rows from Google Sheets\n\nconst rows = items.map(item => item.json);\n\nif (!rows || rows.length === 0) {\n  throw new Error(\"Portfolio sheet is empty. Add at least one stock.\");\n}\n\nconst requiredColumns = [\"Symbol\", \"Sector\", \"Quantity\"];\n\nconst invalidRows = [];\n\nrows.forEach((row, index) => {\n  requiredColumns.forEach(col => {\n    if (!row[col]) {\n      invalidRows.push(`Row ${index + 2}: Missing ${col}`);\n    }\n  });\n\n  if (Number(row.Quantity) <= 0) {\n    invalidRows.push(`Row ${index + 2}: Quantity must be greater than 0`);\n  }\n});\n\nif (invalidRows.length > 0) {\n  throw new Error(\n    \"Portfolio validation failed:\\n\" + invalidRows.join(\"\\n\")\n  );\n}\n\n// Normalize output for downstream nodes\nreturn rows.map(row => ({\n  json: {\n    symbol: String(row.Symbol).trim().toUpperCase(),\n    sector: String(row.Sector).trim(),\n    quantity: Number(row.Quantity),\n    avg_price: row[\"Avg Price\"] ? Number(row[\"Avg Price\"]) : null\n  }\n}));\n"},"typeVersion":2},{"id":"57a4a2f3-7feb-44f7-928c-05044466668d","name":"Read Portfolio Sheet","type":"n8n-nodes-base.googleSheets","position":[240,0],"parameters":{"options":{},"sheetName":{"__rl":true,"mode":"list","value":470459805,"cachedResultUrl":"https://docs.google.com/spreadsheets/d/1Mz-woYDtXtzF2bA9IqpdYh28IPA76nFx46WHgDJOZoI/edit#gid=470459805","cachedResultName":"Portfolio"},"documentId":{"__rl":true,"mode":"list","value":"1Mz-woYDtXtzF2bA9IqpdYh28IPA76nFx46WHgDJOZoI","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1Mz-woYDtXtzF2bA9IqpdYh28IPA76nFx46WHgDJOZoI/edit?usp=drivesdk","cachedResultName":"NEWS IMPACT TRACKER"}},"credentials":{"googleSheetsOAuth2Api":{"id":"kpPEOLCGn963qpoh","name":"automations@techdome.ai"}},"typeVersion":4.7},{"id":"1553ecc1-4878-4f9d-8896-2a84ecab3108","name":"Risk Thresholds and Settings","type":"n8n-nodes-base.set","position":[48,0],"parameters":{"options":{},"assignments":{"assignments":[{"id":"be8b733a-4112-400a-91e9-b5803792515f","name":"sector_concentration_limit","type":"number","value":35},{"id":"2caea5e9-e3c0-4c3a-9118-a24b0bfd3177","name":"correlation_threshold","type":"number","value":0.75},{"id":"5f3e3e9b-da62-42dd-948b-275072e0bbd8","name":"volatility_lookback_days","type":"number","value":30},{"id":"18c1f505-1efe-4701-a501-e3eee7f7c63f","name":"volatility_alert_change_pct","type":"number","value":10},{"id":"727d7801-155a-4708-87b4-bbdf003e4b54","name":"enable_alerts","type":"boolean","value":true},{"id":"456a33db-6a8e-4877-9b65-c451f16a518a","name":"enable_ai_summary","type":"boolean","value":true},{"id":"4f581334-ee16-4f9f-b6e6-40e71a4e373a","name":"base_currency","type":"string","value":"INR"}]}},"typeVersion":3.4},{"id":"b9f5f207-58c8-4f4a-a7e5-90664fece572","name":"Batch Portfolio Symbols","type":"n8n-nodes-base.splitInBatches","position":[752,0],"parameters":{"options":{}},"typeVersion":3},{"id":"e027c478-cce2-48d0-a469-3d05826fd56a","name":"Fetch Market Data","type":"n8n-nodes-base.httpRequest","position":[1008,240],"parameters":{"url":"https://www.alphavantage.co/query","options":{},"sendQuery":true,"queryParameters":{"parameters":[{"name":"function","value":"TIME_SERIES_DAILY"},{"name":"symbol","value":"={{$json.symbol}}"},{"name":"apikey","value":"Q75H5WJH88KACPLP"},{"name":"outputsize","value":"compact"}]}},"typeVersion":4.3},{"id":"f88ae8d9-b9cb-46de-889b-3eb778f8fc10","name":"Normalize Alpha Vantage Data","type":"n8n-nodes-base.code","position":[1424,240],"parameters":{"jsCode":"// Basic normalization of Alpha Vantage daily data\n\nconst raw = items[0].json;\n\n// Fallback-safe access\nconst series = raw[\"Time Series (Daily)\"] || {};\n\n// Extract dates (ascending order)\nconst dates = Object.keys(series).sort();\n\n// Collect closing prices\nconst prices = dates.map(date => {\n  return Number(series[date][\"4. close\"]);\n});\n\n// Current price assumed as last available close\nconst current_price = prices[prices.length - 1] || 0;\n\n// Compute returns (simple difference-based)\nconst returns = [];\nfor (let i = 1; i < prices.length; i++) {\n  returns.push(prices[i] - prices[i - 1]);\n}\n\nreturn [\n  {\n    json: {\n      symbol: raw?.[\"Meta Data\"]?.[\"2. Symbol\"] || \"UNKNOWN\",\n      current_price,\n      prices,\n      returns\n    }\n  }\n];\n"},"typeVersion":2},{"id":"523d5dee-1205-4d2b-9fc6-095949031da5","name":"Portfolio Risk Engine","type":"n8n-nodes-base.code","position":[1008,-368],"parameters":{"jsCode":"/**\n * STEP 4 — Portfolio Risk Engine (Defensive Version)\n * Handles invalid / empty symbols safely\n */\n\n// --------------------\n// 1. CLEAN INPUT\n// --------------------\nconst rawPortfolio = items.map(i => i.json);\n\n// Remove invalid entries\nconst portfolio = rawPortfolio.filter(p =>\n  p.symbol &&\n  p.symbol !== \"UNKNOWN\" &&\n  typeof p.current_price === \"number\" &&\n  p.current_price > 0 &&\n  Array.isArray(p.returns) &&\n  p.returns.length > 1\n);\n\nif (portfolio.length === 0) {\n  throw new Error(\"No valid portfolio items after normalization\");\n}\n\n// --------------------\n// 2. CONFIG\n// --------------------\nconst config = $node[\"Risk Thresholds and Settings\"].json;\nconst sectorLimitPct = config.sector_concentration_limit;\nconst corrThreshold = config.correlation_threshold;\n\n// --------------------\n// 3. HELPERS\n// --------------------\nconst mean = arr =>\n  arr.reduce((a, b) => a + b, 0) / arr.length;\n\nconst stdDev = arr => {\n  if (arr.length < 2) return 0;\n  const m = mean(arr);\n  return Math.sqrt(\n    mean(arr.map(x => Math.pow(x - m, 2)))\n  );\n};\n\nconst correlation = (a, b) => {\n  const len = Math.min(a.length, b.length);\n  if (len < 2) return 0;\n\n  const aSlice = a.slice(0, len);\n  const bSlice = b.slice(0, len);\n\n  const meanA = mean(aSlice);\n  const meanB = mean(bSlice);\n\n  let num = 0, denA = 0, denB = 0;\n\n  for (let i = 0; i < len; i++) {\n    num += (aSlice[i] - meanA) * (bSlice[i] - meanB);\n    denA += Math.pow(aSlice[i] - meanA, 2);\n    denB += Math.pow(bSlice[i] - meanB, 2);\n  }\n\n  return num / Math.sqrt(denA * denB || 1);\n};\n\n// --------------------\n// 4. PORTFOLIO VALUE\n// --------------------\nportfolio.forEach(p => {\n  p.market_value = p.current_price * (p.quantity || 1);\n});\n\nconst totalValue = portfolio.reduce(\n  (sum, p) => sum + p.market_value,\n  0\n);\n\n// --------------------\n// 5. SECTOR CONCENTRATION\n// --------------------\nconst sectorMap = {};\nportfolio.forEach(p => {\n  const sector = p.sector || \"Unknown\";\n  sectorMap[sector] =\n    (sectorMap[sector] || 0) + p.market_value;\n});\n\nconst sector_concentration = Object.entries(sectorMap).map(\n  ([sector, value]) => {\n    const weight = (value / totalValue) * 100;\n    return {\n      sector,\n      weight_pct: +weight.toFixed(2),\n      risk: weight > sectorLimitPct\n    };\n  }\n);\n\n// --------------------\n// 6. VOLATILITY\n// --------------------\nportfolio.forEach(p => {\n  p.volatility = stdDev(p.returns);\n});\n\nconst portfolio_volatility = mean(\n  portfolio.map(p => p.volatility)\n);\n\n// --------------------\n// 7. CORRELATION\n// --------------------\nconst correlation_flags = [];\n\nfor (let i = 0; i < portfolio.length; i++) {\n  for (let j = i + 1; j < portfolio.length; j++) {\n    const corr = correlation(\n      portfolio[i].returns,\n      portfolio[j].returns\n    );\n\n    if (Math.abs(corr) >= corrThreshold) {\n      correlation_flags.push({\n        pair: `${portfolio[i].symbol} – ${portfolio[j].symbol}`,\n        correlation: +corr.toFixed(2)\n      });\n    }\n  }\n}\n\n// --------------------\n// 8. RISK FLAGS + SCORE\n// --------------------\nconst sectorRisk = sector_concentration.some(s => s.risk);\nconst correlationRisk = correlation_flags.length > 0;\nconst volatilityRisk = portfolio_volatility > 0;\n\nlet risk_score = 0;\nif (sectorRisk) risk_score += 35;\nif (correlationRisk) risk_score += 35;\nif (volatilityRisk) risk_score += 30;\n\n// --------------------\n// 9. FINAL OUTPUT\n// --------------------\nreturn [\n  {\n    json: {\n      portfolio_size: portfolio.length,\n      portfolio_value: +totalValue.toFixed(2),\n\n      sector_concentration,\n      stock_volatility: portfolio.map(p => ({\n        symbol: p.symbol,\n        volatility: +p.volatility.toFixed(4)\n      })),\n\n      portfolio_volatility: +portfolio_volatility.toFixed(4),\n      correlation_flags,\n\n      risk_detected:\n        sectorRisk || correlationRisk || volatilityRisk,\n\n      risk_score\n    }\n  }\n];\n"},"typeVersion":2},{"id":"6baea2e1-76b3-4847-84ca-5017ae484233","name":"OpenAI Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[1456,-256],"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4.1-mini"},"options":{},"builtInTools":{}},"credentials":{"openAiApi":{"id":"5Kzt6hGSZ1JHZqWN","name":"OpenAi account 2"}},"typeVersion":1.3},{"id":"b2f88dd5-43c7-401e-884d-79ae6c6d884c","name":"Build Alert Payload","type":"n8n-nodes-base.set","position":[1840,-480],"parameters":{"options":{},"assignments":{"assignments":[{"id":"1fdacdbe-32b1-4e31-9402-ddca568d0203","name":"title","type":"string","value":"Weekly Portfolio Risk Alert"},{"id":"48f5af31-62fe-4190-8f54-eb5e02d65755","name":"risk_score","type":"number","value":"={{ $('Risk Check').item.json.risk_score }}"},{"id":"d64d89a1-fa1f-4f40-8ea5-13d12b458a47","name":"risk_detected","type":"boolean","value":"={{ $('Risk Check').item.json.risk_detected }}"},{"id":"2a459fc7-da1b-4e40-918f-4e5a1ea7f227","name":"portfolio_value","type":"number","value":"={{ $('Risk Check').item.json.portfolio_value }}"},{"id":"36bb7cea-10d9-4454-90ba-3671c945a966","name":"sector_risks","type":"array","value":"={{ $('Risk Check').item.json.sector_concentration.filter(s => s.risk) }}"},{"id":"85b0c696-ce52-470d-a644-9f26c4d8613b","name":"correlation_flags","type":"array","value":"={{ $('Risk Check').item.json.correlation_flags }}"},{"id":"cbea7484-a8f4-4fff-bc08-06e0fb875445","name":"portfolio_volatility","type":"number","value":"={{ $('Risk Check').item.json.portfolio_volatility }}"},{"id":"eae03a22-14b9-4e63-947f-ec6d08c59bf2","name":"ai_summary","type":"string","value":"={{ $json.output }}"},{"id":"e196b304-31aa-41e2-bf7b-e727298f5079","name":"generated_at","type":"string","value":"={{new Date().toISOString()}}"}]}},"typeVersion":3.4},{"id":"e421c4b5-b081-4c61-8e18-0643775a9fdf","name":"Send Notification","type":"n8n-nodes-base.slack","position":[2080,-608],"webhookId":"1563ee8d-76f6-4d1f-8bc0-1ce4101041b3","parameters":{"text":"=⚠️ Weekly Portfolio Risk Alert \n\nRisk Score: {{$json.risk_score}} / 100 \n\nPortfolio Value: {{$json.portfolio_value}}  \n\nSector Risks: {{$json.sector_risks.toJsonString() }}  \n\nCorrelation Risks: {{$json.correlation_flags.length > 0 ? $json.correlation_flags : \"none\"}}  \n\nVolatility: {{$json.portfolio_volatility}}  \n\nAI Summary: {{$json.ai_summary}}","user":{"__rl":true,"mode":"list","value":"USLACKBOT","cachedResultName":"slackbot"},"select":"user","otherOptions":{},"authentication":"oAuth2"},"credentials":{"slackOAuth2Api":{"id":"5G5jP9B8MQgtNUqp","name":"Slack account 5"}},"typeVersion":2.4},{"id":"b878566d-ad96-4d69-9c14-28c89069af55","name":"Rate Limit Buffer (Alpha Vantage)","type":"n8n-nodes-base.wait","position":[1200,240],"webhookId":"6f2e91de-139a-4c1a-a653-8e0072a96227","parameters":{"amount":12},"typeVersion":1.1},{"id":"5d4fe480-add6-491c-a591-bdcd56182c45","name":"Portfolio Risk Summary","type":"@n8n/n8n-nodes-langchain.agent","position":[1488,-480],"parameters":{"text":"=You are a portfolio risk analysis assistant.\n\nInput data:\n- Sector concentration\n- Portfolio volatility\n- Correlation flags\n- Overall risk score\n\nData :  {{ $('Portfolio Risk Engine').item.json.toJsonString() }}\n\nTasks:\n1. Summarize the key portfolio risks in simple language\n2. Explain why these risks may matter\n3. Suggest general diversification or rebalancing considerations\n\nRules:\n- Do NOT give financial advice\n- Do NOT recommend buying or selling specific securities\n- Use educational and analytical language only\n- Keep the response under 120 words\n","options":{},"promptType":"define"},"typeVersion":3},{"id":"528cf80f-2a37-42b3-818c-26d2542ab6ff","name":"Risk Check","type":"n8n-nodes-base.if","position":[1248,-464],"parameters":{"options":{},"conditions":{"options":{"version":3,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"a42db0b0-9dff-4427-bd63-31385e0322d4","operator":{"type":"boolean","operation":"true","singleValue":true},"leftValue":"={{ $json.risk_detected }}","rightValue":""}]}},"typeVersion":2.3},{"id":"8ef7a9a4-67db-4e0e-88e1-e7fd5caf90ca","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-880,-832],"parameters":{"width":528,"height":832,"content":"## Workflow Overview\n\n\n \n### How it works\n\nThis workflow automatically analyzes the risk of a stock portfolio and stores weekly risk insights in Google Sheets.\n\nThe workflow starts with a scheduled trigger and reads portfolio data from Google Sheets. The portfolio should include basic details such as stock symbol, sector, and quantity. A validation step checks that the sheet is not empty and that required fields are present, ensuring the workflow always runs on clean data.\n\nTo avoid API limits, stocks are processed in small batches. For each stock, the workflow fetches daily market data from Alpha Vantage. A rate-limit wait is applied between requests to prevent errors. The market data is then normalized into a consistent format so all stocks can be analyzed together.\n\nOnce all stocks are processed, the workflow calculates portfolio-level risk. It evaluates sector concentration to identify overexposure, calculates volatility using historical price changes, and checks correlations between stocks to detect diversification risks. These results are combined into a single risk output, including a risk score and a clear risk detected flag.\n\nIf risk is detected, an AI model generates a short, easy-to-understand explanation of the portfolio risks. This summary uses analytical language only and does not provide financial advice. Finally, a clean weekly snapshot containing the risk score, key risk indicators, and AI summary is stored in Google Sheets for future tracking.\n\n\n### Setup steps:\n\nConnect Google Sheets credentials in n8n.\n\nAdd your Alpha Vantage API key to the market data node.\n\nConfigure an AI provider for risk summaries.\n\nAdjust thresholds in the  Risk Thresholds and Settings node."},"typeVersion":1},{"id":"087391b0-7371-42a5-898d-aaffb1f5bf78","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-240,-176],"parameters":{"color":7,"width":832,"height":400,"content":"### Config and portfolio output\n\nThese nodes control workflow timing, configuration, and input data. Risk thresholds and feature toggles are defined first, then the portfolio is read from Google Sheets and validated to ensure required columns and valid values exist."},"typeVersion":1},{"id":"ebfe456b-fafc-4229-af7c-0d8a52ee3cf9","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[624,-48],"parameters":{"color":7,"width":1040,"height":704,"content":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Market data and rate limiting\n\nThese nodes fetch historical price data from Alpha Vantage. Stocks are processed in batches with a wait step to respect API limits. The raw market data is normalized into a consistent structure for risk analysis."},"typeVersion":1},{"id":"8b683e9c-b5db-4252-a53e-d44f050707ae","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[832,-544],"parameters":{"color":7,"width":368,"height":384,"content":"### Risk calculation engine\n \nThis node performs portfolio-level risk analysis.\nIt calculates sector concentration, volatility, and correlation, then produces a single risk result with a risk score and a clear risk detected flag."},"typeVersion":1},{"id":"0498b0c9-8ab8-4eb5-af94-dc0c1d9f0d38","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[1216,-736],"parameters":{"color":7,"width":1104,"height":640,"content":"### Ai summary and storage\n\nThese nodes run only when risk is detected. This section sends a clear weekly risk alert to Slack. An AI summary explains the risks in simple language, and the same summarized data is stored in Google Sheets to track portfolio risk over time."},"typeVersion":1},{"id":"30c674c7-7f8b-44cc-938e-64d876b6271f","name":"Store Weekly Risk Snapshot","type":"n8n-nodes-base.googleSheets","position":[2096,-336],"parameters":{"columns":{"value":{"timestamp":"={{ $json.generated_at }}","ai_summary":"={{$json.ai_summary}}","risk_score":"={{$json.risk_score}}/100","sector_risks":"={{$json.sector_risks}}","portfolio_value":"={{$json.portfolio_value}}","correlation_flags":"={{$json.correlation_flags}}","portfolio_volatility":"={{$json.portfolio_volatility}}"},"schema":[{"id":"timestamp","type":"string","display":true,"required":false,"displayName":"timestamp","defaultMatch":false,"canBeUsedToMatch":true},{"id":"risk_score","type":"string","display":true,"required":false,"displayName":"risk_score","defaultMatch":false,"canBeUsedToMatch":true},{"id":"risk_detected","type":"string","display":true,"removed":true,"required":false,"displayName":"risk_detected","defaultMatch":false,"canBeUsedToMatch":true},{"id":"portfolio_value","type":"string","display":true,"required":false,"displayName":"portfolio_value","defaultMatch":false,"canBeUsedToMatch":true},{"id":"portfolio_volatility","type":"string","display":true,"required":false,"displayName":"portfolio_volatility","defaultMatch":false,"canBeUsedToMatch":true},{"id":"sector_risks","type":"string","display":true,"required":false,"displayName":"sector_risks","defaultMatch":false,"canBeUsedToMatch":true},{"id":"correlation_flags","type":"string","display":true,"required":false,"displayName":"correlation_flags","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ai_summary","type":"string","display":true,"required":false,"displayName":"ai_summary","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"list","value":1765144538,"cachedResultUrl":"https://docs.google.com/spreadsheets/d/1Mz-woYDtXtzF2bA9IqpdYh28IPA76nFx46WHgDJOZoI/edit#gid=1765144538","cachedResultName":"Weekly Risk Snapshots"},"documentId":{"__rl":true,"mode":"list","value":"1Mz-woYDtXtzF2bA9IqpdYh28IPA76nFx46WHgDJOZoI","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1Mz-woYDtXtzF2bA9IqpdYh28IPA76nFx46WHgDJOZoI/edit?usp=drivesdk","cachedResultName":"NEWS IMPACT TRACKER"}},"credentials":{"googleSheetsOAuth2Api":{"id":"kpPEOLCGn963qpoh","name":"automations@techdome.ai"}},"typeVersion":4.7},{"id":"0585a511-baa8-4297-85a3-561a0e8e97c1","name":"Weekly Schedule Trigger","type":"n8n-nodes-base.scheduleTrigger","position":[-176,0],"parameters":{"rule":{"interval":[{"field":"weeks","triggerAtHour":9}]}},"typeVersion":1.3}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"11108be3-d2c7-48b2-b860-94f5aabf4f26","connections":{"Risk Check":{"main":[[{"node":"Portfolio Risk Summary","type":"main","index":0}]]},"Fetch Market Data":{"main":[[{"node":"Rate Limit Buffer (Alpha Vantage)","type":"main","index":0}]]},"OpenAI Chat Model":{"ai_languageModel":[[{"node":"Portfolio Risk Summary","type":"ai_languageModel","index":0}]]},"Send Notification":{"main":[[]]},"Build Alert Payload":{"main":[[{"node":"Send Notification","type":"main","index":0},{"node":"Store Weekly Risk Snapshot","type":"main","index":0}]]},"Read Portfolio Sheet":{"main":[[{"node":"Validate Portfolio Input","type":"main","index":0}]]},"Portfolio Risk Engine":{"main":[[{"node":"Risk Check","type":"main","index":0}]]},"Portfolio Risk Summary":{"main":[[{"node":"Build Alert Payload","type":"main","index":0}]]},"Batch Portfolio Symbols":{"main":[[{"node":"Portfolio Risk Engine","type":"main","index":0}],[{"node":"Fetch Market Data","type":"main","index":0}]]},"Weekly Schedule Trigger":{"main":[[{"node":"Risk Thresholds and Settings","type":"main","index":0}]]},"Validate Portfolio Input":{"main":[[{"node":"Batch Portfolio Symbols","type":"main","index":0}]]},"Normalize Alpha Vantage Data":{"main":[[{"node":"Batch Portfolio 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