Workflow: Memorybufferwindow Workflow
Integrations: code, emailSend, executeWorkflowTrigger, formTrigger, html, httpRequest, merge, noOp, scheduleTrigger, set, stickyNote

{"meta": {"instanceId": "workflow-4502194a", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:42.974938", "updatedAt": "2025-09-29T07:07:42.974965", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production"}, "nodes": [{"id": "a9bbe9d0-51aa-40f8-8931-f405c695c732", "name": "Window Buffer Memory", "type": "n8n-nodes-base.noOp", "position": [1140, 140], "parameters": {"sessionKey": "YOUR_CREDENTIAL_HERE", "sessionIdType": "customKey"}, "typeVersion": 1.3, "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow."}, {"id": "2d6315d6-959d-4e16-97ed-30839d826ce2", "name": "AI Agent", "type": "n8n-nodes-base.noOp", "position": [1080, -100], "parameters": {"text": "=Ticker = {{ $json[\"Ticker symbol:\"] }}", "options": {"systemMessage": "=# Overview\nYou are an AI agent specialized in stock analysis. You provide technical analysis and sentiment for stock investments by combining chart data and news sentiment.\n\n# Instructions\n1. When a user requests an analysis of a stock with its symbol:\n  - Send the stock symbol to both tools **technical_analysis** and **trends_analysis**\n  - Analyze the combined data and prepare a JSON report with your insights\n  - Provide a clear recommendation (positive, neutral, or negative)\n2. Your output must be in the format of a structured JSON object that will be used to fill an HTML template.\n3. Translate the article titles in topArticles to Hebrew\n4. Translate the sentimentHebrew results to only one of these values:\n\"\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05d6\u05e7/\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05dc\u05e9/\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9/\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05dc\u05e9/\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05d6\u05e7\". Somewhat=\u05d7\u05dc\u05e9.\n5. Write the Date value in each article: \"topArticles\" only in this format: \"DD/MM/YYYY\".\n6. Update the technicalAnalysis value as a detailed technical analysis of three paragraphs, which explains even to those who don't understand economics what you did and how you reached your conclusions. Touch on all the indicators examined (Volume, EMA, RSI, Fibonacci retracement, MACD, Bollinger bands, Resistance and support levels)\n7. Ensure that the text in the technicalAnalysis value is written in proper Hebrew, like a professional analyst. Use the think tool\n8. In the Recommendation value - recommend to buy or sell only if you think with high probability that there will be a rise or fall. Use the think tool to verify your Recommendation based on recommendationText. Advise something only if you really believe it. Your default is the \"\u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05d7\u05db\u05d5\u05ea\" value.\n\n## Tools\n- **technical_analysis**: Generates technical analysis based on stock charts\n- **trends_analysis**: Analyzes news sentiment for the requested stock\n\n## Response Format\nYou must respond with a JSON object containing exactly the following keys to fill the HTML template:\n\n```json\n{\n \"stockSymbol\": \"\u05e1\u05d9\u05de\u05d5\u05dc\",\n \"analysisDate\": \"DD/MM/YYYY\",\n \"recommendationClass\": \"positive/neutral/negative\",\n \"recommendationTitle\": \"\u05db\u05d5\u05ea\u05e8\u05ea \u05d4\u05de\u05dc\u05e6\u05d4 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea\",\n \"recommendationText\": \"\u05d4\u05e1\u05d1\u05e8 \u05de\u05e4\u05d5\u05e8\u05d8 \u05e9\u05dc \u05d4\u05d4\u05de\u05dc\u05e6\u05d4 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea\",\n \"bullishCount\": 0,\n \"neutralCount\": 0, \n \"bearishCount\": 0,\n \"bullishHeight\": 0,\n \"neutralHeight\": 0,\n \"bearishHeight\": 0,\n \"overallSentiment\": \"\u05d7\u05d9\u05d5\u05d1\u05d9/\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9/\u05e9\u05dc\u05d9\u05dc\u05d9\",\n \"Recommendation\": \"\u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05e7\u05e0\u05d5\u05ea/ \u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05d7\u05db\u05d5\u05ea/ \u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05de\u05db\u05d5\u05e8\",\n \"sentimentScore\": 0.00,\n \"chartImageUrl\": \"URL_PLACEHOLDER\",\n \"technicalAnalysis\": \"\u05e0\u05d9\u05ea\u05d5\u05d7 \u05d8\u05db\u05e0\u05d9 \u05de\u05e4\u05d5\u05e8\u05d8 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea \u05e2\u05dd \u05ea\u05d2\u05d9 <p>\",\n \"topArticles\": [\n   {\n     \"title\": \"\u05db\u05d5\u05ea\u05e8\u05ea \u05d4\u05de\u05d0\u05de\u05e8 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea\",\n     \"url\": \"\u05db\u05ea\u05d5\u05d1\u05ea URL \u05e9\u05dc \u05d4\u05de\u05d0\u05de\u05e8\",\n     \"source\": \"\u05e9\u05dd \u05d4\u05de\u05e7\u05d5\u05e8 \u05d1\u05d0\u05e0\u05d2\u05dc\u05d9\u05ea\",\n     \"date\": \"DD/MM/YYYY\",\n     \"sentimentClass\": \"bullish/neutral/bearish\",\n     \"sentimentHebrew\": \"\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05d6\u05e7/\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05dc\u05e9/\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9/\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05dc\u05e9/\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05d6\u05e7\"\n   }\n ],\n \"hotTopics\": [\n   {\n     \"topic\": \"\u05e9\u05dd \u05d4\u05e0\u05d5\u05e9\u05d0 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea\",\n     \"article_count\": 0,\n     \"average_relevance\": \"0.00\"\n   }\n ]\n}"}, "promptType": "define", "hasOutputParser": true}, "typeVersion": 1.7, "notes": "This agent node performs automated tasks as part of the workflow."}, {"id": "14112026-19eb-493f-971b-28455a8d4412", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [680, -220], "parameters": {"color": 4, "width": 1820, "height": 580, "content": "# AI Agent\nAI agent powered by GPT-4o that analyses stocks by combining technical analysis and news sentiment, generating detailed reports in Hebrew with data-driven investment recommendations"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "8b2e573e-7acc-4b0b-a708-4ce33873a893", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [680, 380], "parameters": {"width": 2820, "height": 920, "content": "# Technical Analysis Tool\nA tool that performs in-depth technical analysis of stock charts by combining visual pattern recognition with quantitative indicators. It fetches data from Chart-img API for generating visual charts, Twelve Data API for historical prices and technical indicators (Bollinger Bands, MACD), and uses OpenAI's GPT-4o for visual chart pattern recognition.\nThe system synthesizes this multi-source data into a comprehensive technical assessment with actionable trading insights based on support/resistance levels, Fibonacci retracements, and candlestick patterns."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "b0d49fa6-5c57-4ab5-a752-93d7d278b8fa", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [2520, -220], "parameters": {"width": 980, "height": 580, "content": "# Trends Analysis Tool\nA tool that analyses news sentiment for requested stocks by fetching recent financial news articles, calculating sentiment metrics, identifying influential stories, and extracting trending topics. It processes data from Alpha Vantage's news API, determines overall market sentiment, and delivers structured analysis on stock sentiment, relevance, and market outlook."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "13a242cf-0a01-4aea-a58e-9b734aed912c", "name": "Structured Output Parser", "type": "n8n-nodes-base.noOp", "position": [1900, 140], "parameters": {"schemaType": "manual", "inputSchema": "{\n  \"stockSymbol\": \"\u05e1\u05d9\u05de\u05d5\u05dc\",\n  \"analysisDate\": \"DD/MM/YYYY\",\n  \"recommendationClass\": \"positive/neutral/negative\",\n  \"recommendationTitle\": \"\u05db\u05d5\u05ea\u05e8\u05ea \u05d4\u05de\u05dc\u05e6\u05d4 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea\",\n  \"recommendationText\": \"\u05d4\u05e1\u05d1\u05e8 \u05de\u05e4\u05d5\u05e8\u05d8 \u05e9\u05dc \u05d4\u05d4\u05de\u05dc\u05e6\u05d4 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea\",\n  \"bullishCount\": 0,\n  \"neutralCount\": 0, \n  \"bearishCount\": 0,\n  \"bullishHeight\": 0,\n  \"neutralHeight\": 0,\n  \"bearishHeight\": 0,\n  \"overallSentiment\": \"\u05d7\u05d9\u05d5\u05d1\u05d9/\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9/\u05e9\u05dc\u05d9\u05dc\u05d9\",\n  \"Recommendation\": \"\u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05e7\u05e0\u05d5\u05ea/ \u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05d7\u05db\u05d5\u05ea/ \u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05de\u05db\u05d5\u05e8\",\n  \"sentimentScore\": 0.00,\n  \"chartImageUrl\": \"URL_PLACEHOLDER\",\n  \"technicalAnalysis\": \"\u05e0\u05d9\u05ea\u05d5\u05d7 \u05d8\u05db\u05e0\u05d9 \u05de\u05e4\u05d5\u05e8\u05d8 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea \u05e2\u05dd \u05ea\u05d2\u05d9 <p>\",\n  \"topArticles\": [\n    {\n      \"title\": \"\u05db\u05d5\u05ea\u05e8\u05ea \u05d4\u05de\u05d0\u05de\u05e8\",\n      \"url\": \"\u05db\u05ea\u05d5\u05d1\u05ea URL \u05e9\u05dc \u05d4\u05de\u05d0\u05de\u05e8\",\n      \"source\": \"\u05e9\u05dd \u05d4\u05de\u05e7\u05d5\u05e8\",\n      \"date\": \"DD/MM/YYYY\",\n      \"sentimentClass\": \"bullish/neutral/bearish\",\n      \"sentimentHebrew\": \"\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05d6\u05e7/\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05dc\u05e9/\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9/\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05dc\u05e9/\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05d6\u05e7\"\n    }\n  ],\n  \"hotTopics\": [\n    {\n      \"topic\": \"\u05e9\u05dd \u05d4\u05e0\u05d5\u05e9\u05d0 \u05d1\u05e2\u05d1\u05e8\u05d9\u05ea\",\n      \"article_count\": 0,\n      \"average_relevance\": \"0.00\"\n    }\n  ]\n}"}, "typeVersion": 1.2, "notes": "This outputParserStructured node performs automated tasks as part of the workflow."}, {"id": "bb5dd63a-a3e6-408e-a5c9-13e9f72f2b26", "name": "GPT 4o", "type": "n8n-nodes-base.noOp", "position": [960, 140], "parameters": {"model": {"__rl": true, "mode": "list", "value": "gpt-4o", "cachedResultName": "gpt-4o"}, "options": {}}, "credentials": {"openAiApi": {"id": "2m1HH5crgPAhTJlv", "name": "OpenAi account"}}, "typeVersion": 1.2, "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."}, {"id": "94d820d2-eb20-4184-8e21-1ed5936c9166", "name": "Generate HTML", "type": "n8n-nodes-base.html", "position": [1860, -100], "parameters": {"html": "<!DOCTYPE html>\n<html dir=\"rtl\" lang=\"he\">\n<head>\n    <meta charset=\"UTF-8\">\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n    <title>\u05e0\u05d9\u05ea\u05d5\u05d7 \u05de\u05e0\u05d9\u05d9\u05ea {{ $('AI Agent').item.json.output.stockSymbol }}</title>\n</head>\n<body style=\"margin: 0; padding: 0; font-family: 'Segoe UI', 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: #f5f7fa; color: #333; line-height: 1.6; -webkit-font-smoothing: antialiased; font-size: 16px; text-align: right; direction: rtl;\">\n    <!-- \u05e2\u05d5\u05d8\u05e3 \u05e8\u05d0\u05e9\u05d9 -->\n    <div style=\"max-width: 650px; margin: 0 auto; background-color: #ffffff; border-radius: 16px; overflow: hidden; box-shadow: 0 4px 24px rgba(0,0,0,0.08); margin-top: 30px; margin-bottom: 30px; text-align: right; direction: rtl;\">\n        \n        <!-- \u05db\u05d5\u05ea\u05e8\u05ea \u05e2\u05dc\u05d9\u05d5\u05e0\u05d4 -->\n        <div style=\"background: linear-gradient(135deg, #0057ff 0%, #00b2ff 100%); padding: 30px 40px; text-align: center; position: relative; overflow: hidden; margin-bottom: 20px;\">\n            <div style=\"position: absolute; top: 0; left: 0; right: 0; bottom: 0; background-image: url('data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTAwJSIgaGVpZ2h0PSIxMDAlIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjxkZWZzPjxwYXR0ZXJuIGlkPSJwYXR0ZXJuIiB4PSIwIiB5PSIwIiB3aWR0aD0iNDAiIGhlaWdodD0iNDAiIHBhdHRlcm5Vbml0cz0idXNlclNwYWNlT25Vc2UiIHBhdHRlcm5UcmFuc2Zvcm09InJvdGF0ZSgzMCkiPjxwYXRoIGQ9Ik0wIDEwIEw0MCAxMCIgc3Ryb2tlPSIjZmZmZmZmIiBzdHJva2Utd2lkdGg9IjAuNSIgc3Ryb2tlLW9wYWNpdHk9IjAuMSIvPjwvcGF0dGVybj48L2RlZnM+PHJlY3QgeD0iMCIgeT0iMCIgd2lkdGg9IjEwMCUiIGhlaWdodD0iMTAwJSIgZmlsbD0idXJsKCNwYXR0ZXJuKSIvPjwvc3ZnPg=='); opacity: 0.2;\"></div>\n            <h1 style=\"color: #ffffff; font-weight: 700; font-size: 28px; margin: 0 0 5px 0; letter-spacing: -0.5px; position: relative;\">\u05e0\u05d9\u05ea\u05d5\u05d7 \u05de\u05e0\u05d9\u05d9\u05ea {{ $('AI Agent').item.json.output.stockSymbol }}</h1>\n            <div style=\"color: rgba(255,255,255,0.85); font-size: 15px; position: relative;\">\u05ea\u05d0\u05e8\u05d9\u05da: {{ $('AI Agent').item.json.output.analysisDate }}</div>\n        </div>\n        \n        <!-- \u05ea\u05d5\u05db\u05df \u05d4\u05de\u05d9\u05d9\u05dc -->\n        <div style=\"padding: 40px; text-align: right; direction: rtl;\">\n            \n            <!-- \u05ea\u05d9\u05d1\u05ea \u05d4\u05de\u05dc\u05e6\u05d4 -->\n            <div style=\"background-color: #f8fafc; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.04); padding: 25px; margin-bottom: 40px; position: relative; overflow: hidden; text-align: right;\">\n                <div style=\"position: absolute; right: 0; top: 0; bottom: 0; width: 6px; background-color: #f7b955;\"></div>\n                <div style=\"position: absolute; right: 0; top: 0; width: 100%; height: 100%; background: linear-gradient(90deg, rgba(247, 185, 85, 0.07) 0%, rgba(247, 185, 85, 0) 50%);\"></div>\n                <div style=\"text-align: center; position: relative;\">\n                    <div style=\"display: inline-block; width: 40px; height: 40px; border-radius: 50%; margin-bottom: 10px; background-color: rgba(247, 185, 85, 0.15); text-align: center;\">\n                        <span style=\"font-size: 20px; line-height: 40px;\">\u2696\ufe0f</span>\n                    </div>\n                    <h2 style=\"margin: 0 0 10px 0; color: #f7b955; font-size: 22px; font-weight: 700; text-align: center;\">{{ $('AI Agent').item.json.output.recommendationTitle }}</h2>\n                    <p style=\"margin: 0; font-size: 16px; line-height: 1.6; color: #4a5568; text-align: right;\">{{ $json.message.content.recommendationText }}</p>\n                    <div style=\"margin-top: 25px;\">\n                        <a style=\"display: inline-block; background-color: #29cc7a; color: white; font-weight: 600; font-size: 16px; padding: 12px 30px; border-radius: 8px; text-decoration: none; box-shadow: 0 4px 6px rgba(41, 204, 122, 0.25); transition: all 0.2s ease;\">{{ $('AI Agent').item.json.output.Recommendation }}</a>\n                    </div>\n                </div>\n            </div>\n\n            <!-- \u05e0\u05d9\u05ea\u05d5\u05d7 \u05d8\u05db\u05e0\u05d9 -->\n            <div style=\"margin-bottom: 40px; text-align: right;\">\n                <h2 style=\"font-size: 20px; color: #1a202c; margin: 0 0 20px 0; padding-bottom: 12px; border-bottom: 1px solid #edf2f7; font-weight: 700; text-align: right;\">\u05e0\u05d9\u05ea\u05d5\u05d7 \u05d8\u05db\u05e0\u05d9</h2>\n                \n                <div style=\"background: #ffffff; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.06); overflow: hidden; margin-bottom: 25px;\">\n                    <img src=\"{{ $('AI Agent').item.json.output.chartImageUrl }}\" alt=\"\u05d2\u05e8\u05e3 \u05d8\u05db\u05e0\u05d9 {{ $('AI Agent').item.json.output.stockSymbol }}\" style=\"width: 100%; display: block; max-height: 450px; object-fit: contain;\">\n                </div>\n                \n                <div style=\"background-color: #f8fafc; border-radius: 12px; padding: 25px; font-size: 15px; line-height: 1.6; color: #4a5568; text-align: right;\">\n                    {{ $json.message.content.technicalAnalysis }}\n                </div>\n            </div>\n                      \n            <!-- \u05e0\u05d9\u05ea\u05d5\u05d7 \u05e1\u05e0\u05d8\u05d9\u05de\u05e0\u05d8 -->\n            <div style=\"margin-bottom: 40px; text-align: right;\">\n                <h2 style=\"font-size: 20px; color: #1a202c; margin: 0 0 20px 0; padding-bottom: 12px; border-bottom: 1px solid #edf2f7; font-weight: 700; text-align: right;\">\u05e0\u05d9\u05ea\u05d5\u05d7 \u05e1\u05e0\u05d8\u05d9\u05de\u05e0\u05d8 \u05e9\u05d5\u05e7</h2>\n                \n                <!-- \u05d2\u05e8\u05e3 \u05e1\u05e0\u05d8\u05d9\u05de\u05e0\u05d8 - \u05e2\u05dd \u05d8\u05d1\u05dc\u05d4 \u05d1\u05de\u05e7\u05d5\u05dd flex -->\n                <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; margin: 45px 0 30px 0;\">\n                    <tr valign=\"bottom\" align=\"center\">\n                        <td width=\"33%\" style=\"text-align: center; padding: 0 10px;\">\n                            <div style=\"font-weight: 600; margin-bottom: 10px; color: #29cc7a;\">{{ $('AI Agent').item.json.output.bullishCount }}</div>\n                            <div style=\"background-color: #29cc7a; border-radius: 8px 8px 0 0; width: 100%; height: {{ $('AI Agent').item.json.output.bullishHeight }}px; margin: 0 auto; opacity: 0.85;\"></div>\n                            <div style=\"font-size: 14px; color: #4a5568; margin-top: 10px;\">\u05d7\u05d9\u05d5\u05d1\u05d9</div>\n                        </td>\n                        <td width=\"33%\" style=\"text-align: center; padding: 0 10px;\">\n                            <div style=\"font-weight: 600; margin-bottom: 10px; color: #f7b955;\">{{ $('AI Agent').item.json.output.neutralCount }}</div>\n                            <div style=\"background-color: #f7b955; border-radius: 8px 8px 0 0; width: 100%; height: {{ $('AI Agent').item.json.output.neutralHeight }}px; margin: 0 auto; opacity: 0.85;\"></div>\n                            <div style=\"font-size: 14px; color: #4a5568; margin-top: 10px;\">\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9</div>\n                        </td>\n                        <td width=\"33%\" style=\"text-align: center; padding: 0 10px;\">\n                            <div style=\"font-weight: 600; margin-bottom: 10px; color: #f55e5e;\">{{ $('AI Agent').item.json.output.bearishCount }}</div>\n                            <div style=\"background-color: #f55e5e; border-radius: 8px 8px 0 0; width: 100%; height: {{ $('AI Agent').item.json.output.bearishHeight }}px; margin: 0 auto; opacity: 0.85;\"></div>\n                            <div style=\"font-size: 14px; color: #4a5568; margin-top: 10px;\">\u05e9\u05dc\u05d9\u05dc\u05d9</div>\n                        </td>\n                    </tr>\n                </table>\n                \n                <div style=\"background-color: #f8fafc; border-radius: 10px; padding: 15px; text-align: center; font-size: 15px;\">\n                    \u05d4\u05e1\u05e0\u05d8\u05d9\u05de\u05e0\u05d8 \u05d4\u05db\u05dc\u05dc\u05d9 \u05dc\u05de\u05e0\u05d9\u05d9\u05ea <strong>{{ $('AI Agent').item.json.output.stockSymbol }}</strong> \u05d4\u05d5\u05d0 \n                    <span style=\"font-weight: 600; color: #f7b955;\">{{ $('AI Agent').item.json.output.overallSentiment }}</span> \n                    \u05e2\u05dd \u05e6\u05d9\u05d5\u05df \u05e9\u05dc <strong>{{ $('AI Agent').item.json.output.sentimentScore }}</strong>\n                </div>\n            </div>\n            \n            <!-- \u05de\u05d0\u05de\u05e8\u05d9\u05dd \u05de\u05e9\u05e4\u05d9\u05e2\u05d9\u05dd -->\n            <div style=\"margin-bottom: 40px; text-align: right;\">\n                <h2 style=\"font-size: 20px; color: #1a202c; margin: 0 0 20px 0; padding-bottom: 12px; border-bottom: 1px solid #edf2f7; font-weight: 700; text-align: right;\">\u05de\u05d0\u05de\u05e8\u05d9\u05dd \u05de\u05e9\u05e4\u05d9\u05e2\u05d9\u05dd</h2>\n                \n                <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse;\">\n                    <!-- \u05de\u05d0\u05de\u05e8 1 -->\n                    <tr>\n                        <td style=\"padding-bottom: 16px;\">\n                            <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; background-color: #f8fafc; border-radius: 12px; box-shadow: 0 2px 8px rgba(0,0,0,0.05); overflow: hidden;\">\n                                <tr>\n                                    <td width=\"4\" style=\"background-color: #f7b955;\"></td>\n                                    <td style=\"padding: 18px 22px;\">\n                                        <h3 style=\"margin: 0 0 8px 0; font-size: 16px; font-weight: 600; line-height: 1.4; text-align: right;\">\n                                            <a href=\"{{ $('AI Agent').item.json.output.topArticles[0].url }}\" target=\"_blank\" style=\"color: #2b6cb0; text-decoration: none;\">{{ $('AI Agent').item.json.output.topArticles[0].title }}</a>\n                                        </h3>\n                                        <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; margin-top: 10px;\">\n                                            <tr>\n                                                <td style=\"font-size: 13px; color: #718096; text-align: right;\">{{ $('AI Agent').item.json.output.topArticles[0].source }} | {{ $('AI Agent').item.json.output.topArticles[0].date }}</td>\n                                                <td style=\"text-align: left;\">\n                                                    <div style=\"display: inline-block; padding: 3px 10px; border-radius: 30px; font-weight: 500; font-size: 12px; background-color: rgba(247, 185, 85, 0.1); color: #f7b955;\">\n                                                        {{ $('AI Agent').item.json.output.topArticles[0].sentimentHebrew }}\n                                                    </div>\n                                                </td>\n                                            </tr>\n                                        </table>\n                                    </td>\n                                </tr>\n                            </table>\n                        </td>\n                    </tr>\n                    \n                    <!-- \u05de\u05d0\u05de\u05e8 2 -->\n                    <tr>\n                        <td style=\"padding-bottom: 16px;\">\n                            <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; background-color: #f8fafc; border-radius: 12px; box-shadow: 0 2px 8px rgba(0,0,0,0.05); overflow: hidden;\">\n                                <tr>\n                                    <td width=\"4\" style=\"background-color: #f7b955;\"></td>\n                                    <td style=\"padding: 18px 22px;\">\n                                        <h3 style=\"margin: 0 0 8px 0; font-size: 16px; font-weight: 600; line-height: 1.4; text-align: right;\">\n                                            <a href=\"{{ $('AI Agent').item.json.output.topArticles[1].url }}\" target=\"_blank\" style=\"color: #2b6cb0; text-decoration: none;\">{{ $('AI Agent').item.json.output.topArticles[1].title }}</a>\n                                        </h3>\n                                        <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; margin-top: 10px;\">\n                                            <tr>\n                                                <td style=\"font-size: 13px; color: #718096; text-align: right;\">{{ $('AI Agent').item.json.output.topArticles[1].source }} | {{ $('AI Agent').item.json.output.topArticles[1].date }}</td>\n                                                <td style=\"text-align: left;\">\n                                                    <div style=\"display: inline-block; padding: 3px 10px; border-radius: 30px; font-weight: 500; font-size: 12px; background-color: rgba(247, 185, 85, 0.1); color: #f7b955;\">\n                                                        {{ $('AI Agent').item.json.output.topArticles[1].sentimentHebrew }}\n                                                    </div>\n                                                </td>\n                                            </tr>\n                                        </table>\n                                    </td>\n                                </tr>\n                            </table>\n                        </td>\n                    </tr>\n                    \n                    <!-- \u05de\u05d0\u05de\u05e8 3 -->\n                    <tr>\n                        <td style=\"padding-bottom: 16px;\">\n                            <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; background-color: #f8fafc; border-radius: 12px; box-shadow: 0 2px 8px rgba(0,0,0,0.05); overflow: hidden;\">\n                                <tr>\n                                    <td width=\"4\" style=\"background-color: #f7b955;\"></td>\n                                    <td style=\"padding: 18px 22px;\">\n                                        <h3 style=\"margin: 0 0 8px 0; font-size: 16px; font-weight: 600; line-height: 1.4; text-align: right;\">\n                                            <a href=\"{{ $('AI Agent').item.json.output.topArticles[2].url }}\" target=\"_blank\" style=\"color: #2b6cb0; text-decoration: none;\">{{ $('AI Agent').item.json.output.topArticles[2].title }}</a>\n                                        </h3>\n                                        <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; margin-top: 10px;\">\n                                            <tr>\n                                                <td style=\"font-size: 13px; color: #718096; text-align: right;\">{{ $('AI Agent').item.json.output.topArticles[2].source }} | {{ $('AI Agent').item.json.output.topArticles[2].date }}</td>\n                                                <td style=\"text-align: left;\">\n                                                    <div style=\"display: inline-block; padding: 3px 10px; border-radius: 30px; font-weight: 500; font-size: 12px; background-color: rgba(247, 185, 85, 0.1); color: #f7b955;\">\n                                                        {{ $('AI Agent').item.json.output.topArticles[2].sentimentHebrew }}\n                                                    </div>\n                                                </td>\n                                            </tr>\n                                        </table>\n                                    </td>\n                                </tr>\n                            </table>\n                        </td>\n                    </tr>\n                    \n                    <!-- \u05de\u05d0\u05de\u05e8 4 -->\n                    <tr>\n                        <td style=\"padding-bottom: 16px;\">\n                            <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; background-color: #f8fafc; border-radius: 12px; box-shadow: 0 2px 8px rgba(0,0,0,0.05); overflow: hidden;\">\n                                <tr>\n                                    <td width=\"4\" style=\"background-color: #f7b955;\"></td>\n                                    <td style=\"padding: 18px 22px;\">\n                                        <h3 style=\"margin: 0 0 8px 0; font-size: 16px; font-weight: 600; line-height: 1.4; text-align: right;\">\n                                            <a href=\"{{ $('AI Agent').item.json.output.topArticles[3].url }}\" target=\"_blank\" style=\"color: #2b6cb0; text-decoration: none;\">{{ $('AI Agent').item.json.output.topArticles[3].title }}</a>\n                                        </h3>\n                                        <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; margin-top: 10px;\">\n                                            <tr>\n                                                <td style=\"font-size: 13px; color: #718096; text-align: right;\">{{ $('AI Agent').item.json.output.topArticles[3].source }} | {{ $('AI Agent').item.json.output.topArticles[3].date }}</td>\n                                                <td style=\"text-align: left;\">\n                                                    <div style=\"display: inline-block; padding: 3px 10px; border-radius: 30px; font-weight: 500; font-size: 12px; background-color: rgba(247, 185, 85, 0.1); color: #f7b955;\">\n                                                        {{ $('AI Agent').item.json.output.topArticles[3].sentimentHebrew }}\n                                                    </div>\n                                                </td>\n                                            </tr>\n                                        </table>\n                                    </td>\n                                </tr>\n                            </table>\n                        </td>\n                    </tr>\n                    \n                    <!-- \u05de\u05d0\u05de\u05e8 5 -->\n                    <tr>\n                        <td style=\"padding-bottom: 16px;\">\n                            <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; background-color: #f8fafc; border-radius: 12px; box-shadow: 0 2px 8px rgba(0,0,0,0.05); overflow: hidden;\">\n                                <tr>\n                                    <td width=\"4\" style=\"background-color: #f7b955;\"></td>\n                                    <td style=\"padding: 18px 22px;\">\n                                        <h3 style=\"margin: 0 0 8px 0; font-size: 16px; font-weight: 600; line-height: 1.4; text-align: right;\">\n                                            <a href=\"{{ $('AI Agent').item.json.output.topArticles[4].url }}\" target=\"_blank\" style=\"color: #2b6cb0; text-decoration: none;\">{{ $('AI Agent').item.json.output.topArticles[4].title }}</a>\n                                        </h3>\n                                        <table cellpadding=\"0\" cellspacing=\"0\" border=\"0\" width=\"100%\" style=\"border-collapse: collapse; margin-top: 10px;\">\n                                            <tr>\n                                                <td style=\"font-size: 13px; color: #718096; text-align: right;\">{{ $('AI Agent').item.json.output.topArticles[4].source }} | {{ $('AI Agent').item.json.output.topArticles[4].date }}</td>\n                                                <td style=\"text-align: left;\">\n                                                    <div style=\"display: inline-block; padding: 3px 10px; border-radius: 30px; font-weight: 500; font-size: 12px; background-color: rgba(247, 185, 85, 0.1); color: #f7b955;\">\n                                                        {{ $('AI Agent').item.json.output.topArticles[4].sentimentHebrew }}\n                                                    </div>\n                                                </td>\n                                            </tr>\n                                        </table>\n                                    </td>\n                                </tr>\n                            </table>\n                        </td>\n                    </tr>\n                </table>\n            </div>\n              \n    <!-- \u05e0\u05d5\u05e9\u05d0\u05d9\u05dd \u05d7\u05de\u05d9\u05dd - \u05d2\u05e8\u05e1\u05d4 \u05de\u05e9\u05d5\u05e4\u05e8\u05ea \u05dc\u05de\u05d5\u05d1\u05d9\u05d9\u05dc -->\n    <div style=\"margin-bottom: 30px; text-align: right;\">\n        <h2 style=\"font-size: 20px; color: #1a202c; margin: 0 0 20px 0; padding-bottom: 12px; border-bottom: 1px solid #edf2f7; font-weight: 700; text-align: right;\">\u05e0\u05d5\u05e9\u05d0\u05d9\u05dd \u05d7\u05de\u05d9\u05dd</h2>\n        \n        <div style=\"background-color: #f8fafc; border-radius: 12px; padding: 20px 25px; text-align: right;\">\n            <p style=\"margin: 0 0 15px 0; font-size: 15px; color: #4a5568; text-align: right;\">\u05d4\u05e0\u05d5\u05e9\u05d0\u05d9\u05dd \u05d4\u05de\u05e8\u05db\u05d6\u05d9\u05d9\u05dd \u05e9\u05de\u05d5\u05e4\u05d9\u05e2\u05d9\u05dd \u05d1\u05d7\u05d3\u05e9\u05d5\u05ea \u05e2\u05dc {{ $('AI Agent').item.json.output.stockSymbol }}:</p>\n            \n            <!-- \u05e0\u05d5\u05e9\u05d0 1 -->\n            <div style=\"margin-bottom: 15px; padding-bottom: 15px; border-bottom: 1px solid #edf2f7;\">\n                <div style=\"display: table; width: 100%; margin-bottom: 8px;\">\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: right; font-weight: 600; font-size: 15px;\">\n                        {{ $('AI Agent').item.json.output.hotTopics[0].topic }}\n                    </div>\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: left; white-space: nowrap;\">\n                        <div style=\"display: inline-block; background-color: #edf2f7; border-radius: 30px; padding: 4px 12px; font-size: 13px; color: #4a5568; text-align: center;\">\n                            <strong>{{ $('AI Agent').item.json.output.hotTopics[0].article_count }}</strong> \u05de\u05d0\u05de\u05e8\u05d9\u05dd\n                        </div>\n                    </div>\n                </div>\n                <div style=\"background-color: #e2e8f0; height: 4px; width: 100%; border-radius: 2px; overflow: hidden;\">\n                    <div style=\"background-color: #4299e1; height: 100%; width: calc({{ $('AI Agent').item.json.output.hotTopics[0].average_relevance }} * 100%);\"></div>\n                </div>\n                <div style=\"text-align: left; font-size: 12px; color: #718096; margin-top: 4px;\">\u05e8\u05dc\u05d5\u05d5\u05e0\u05d8\u05d9\u05d5\u05ea: {{ $('AI Agent').item.json.output.hotTopics[0].average_relevance }}</div>\n            </div>\n            \n            <!-- \u05e0\u05d5\u05e9\u05d0 2 -->\n            <div style=\"margin-bottom: 15px; padding-bottom: 15px; border-bottom: 1px solid #edf2f7;\">\n                <div style=\"display: table; width: 100%; margin-bottom: 8px;\">\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: right; font-weight: 600; font-size: 15px;\">\n                        {{ $('AI Agent').item.json.output.hotTopics[1].topic }}\n                    </div>\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: left; white-space: nowrap;\">\n                        <div style=\"display: inline-block; background-color: #edf2f7; border-radius: 30px; padding: 4px 12px; font-size: 13px; color: #4a5568; text-align: center;\">\n                            <strong>{{ $('AI Agent').item.json.output.hotTopics[1].article_count }}</strong> \u05de\u05d0\u05de\u05e8\u05d9\u05dd\n                        </div>\n                    </div>\n                </div>\n                <div style=\"background-color: #e2e8f0; height: 4px; width: 100%; border-radius: 2px; overflow: hidden;\">\n                    <div style=\"background-color: #4299e1; height: 100%; width: calc({{ $('AI Agent').item.json.output.hotTopics[1].average_relevance }} * 100%);\"></div>\n                </div>\n                <div style=\"text-align: left; font-size: 12px; color: #718096; margin-top: 4px;\">\u05e8\u05dc\u05d5\u05d5\u05e0\u05d8\u05d9\u05d5\u05ea: {{ $('AI Agent').item.json.output.hotTopics[1].average_relevance }}</div>\n            </div>\n            \n            <!-- \u05e0\u05d5\u05e9\u05d0 3 -->\n            <div style=\"margin-bottom: 15px; padding-bottom: 15px; border-bottom: 1px solid #edf2f7;\">\n                <div style=\"display: table; width: 100%; margin-bottom: 8px;\">\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: right; font-weight: 600; font-size: 15px;\">\n                        {{ $('AI Agent').item.json.output.hotTopics[2].topic }}\n                    </div>\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: left; white-space: nowrap;\">\n                        <div style=\"display: inline-block; background-color: #edf2f7; border-radius: 30px; padding: 4px 12px; font-size: 13px; color: #4a5568; text-align: center;\">\n                            <strong>{{ $('AI Agent').item.json.output.hotTopics[2].article_count }}</strong> \u05de\u05d0\u05de\u05e8\u05d9\u05dd\n                        </div>\n                    </div>\n                </div>\n                <div style=\"background-color: #e2e8f0; height: 4px; width: 100%; border-radius: 2px; overflow: hidden;\">\n                    <div style=\"background-color: #4299e1; height: 100%; width: calc({{ $('AI Agent').item.json.output.hotTopics[2].average_relevance }} * 100%);\"></div>\n                </div>\n                <div style=\"text-align: left; font-size: 12px; color: #718096; margin-top: 4px;\">\u05e8\u05dc\u05d5\u05d5\u05e0\u05d8\u05d9\u05d5\u05ea: {{ $('AI Agent').item.json.output.hotTopics[2].average_relevance }}</div>\n            </div>\n            \n            <!-- \u05e0\u05d5\u05e9\u05d0 4 -->\n            <div style=\"margin-bottom: 15px; padding-bottom: 15px; border-bottom: 1px solid #edf2f7;\">\n                <div style=\"display: table; width: 100%; margin-bottom: 8px;\">\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: right; font-weight: 600; font-size: 15px;\">\n                        {{ $('AI Agent').item.json.output.hotTopics[3].topic }}\n                    </div>\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: left; white-space: nowrap;\">\n                        <div style=\"display: inline-block; background-color: #edf2f7; border-radius: 30px; padding: 4px 12px; font-size: 13px; color: #4a5568; text-align: center;\">\n                            <strong>{{ $('AI Agent').item.json.output.hotTopics[3].article_count }}</strong> \u05de\u05d0\u05de\u05e8\u05d9\u05dd\n                        </div>\n                    </div>\n                </div>\n                <div style=\"background-color: #e2e8f0; height: 4px; width: 100%; border-radius: 2px; overflow: hidden;\">\n                    <div style=\"background-color: #4299e1; height: 100%; width: calc({{ $('AI Agent').item.json.output.hotTopics[3].average_relevance }} * 100%);\"></div>\n                </div>\n                <div style=\"text-align: left; font-size: 12px; color: #718096; margin-top: 4px;\">\u05e8\u05dc\u05d5\u05d5\u05e0\u05d8\u05d9\u05d5\u05ea: {{ $('AI Agent').item.json.output.hotTopics[3].average_relevance }}</div>\n            </div>\n            \n            <!-- \u05e0\u05d5\u05e9\u05d0 5 -->\n            <div style=\"margin-bottom: 0;\">\n                <div style=\"display: table; width: 100%; margin-bottom: 8px;\">\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: right; font-weight: 600; font-size: 15px;\">\n                        {{ $('AI Agent').item.json.output.hotTopics[4].topic }}\n                    </div>\n                    <div style=\"display: table-cell; vertical-align: middle; text-align: left; white-space: nowrap;\">\n                        <div style=\"display: inline-block; background-color: #edf2f7; border-radius: 30px; padding: 4px 12px; font-size: 13px; color: #4a5568; text-align: center;\">\n                            <strong>{{ $('AI Agent').item.json.output.hotTopics[4].article_count }}</strong> \u05de\u05d0\u05de\u05e8\u05d9\u05dd\n                        </div>\n                    </div>\n                </div>\n                <div style=\"background-color: #e2e8f0; height: 4px; width: 100%; border-radius: 2px; overflow: hidden;\">\n                    <div style=\"background-color: #4299e1; height: 100%; width: calc({{ $('AI Agent').item.json.output.hotTopics[4].average_relevance }} * 100%);\"></div>\n                </div>\n                <div style=\"text-align: left; font-size: 12px; color: #718096; margin-top: 4px;\">\u05e8\u05dc\u05d5\u05d5\u05e0\u05d8\u05d9\u05d5\u05ea: {{ $('AI Agent').item.json.output.hotTopics[4].average_relevance }}</div>\n            </div>\n        </div>\n    </div>\n\t        \n        <!-- \u05e4\u05d5\u05d8\u05e8 -->\n        <div style=\"background-color: #f8fafc; padding: 25px 40px; text-align: center; border-top: 1px solid #edf2f7;\">\n            <div style=\"font-size: 13px; color: #718096; line-height: 1.6;\">\n                <p style=\"margin: 0 0 8px 0;\">\u05d3\u05d5\u05d7 \u05d6\u05d4 \u05e0\u05d5\u05e6\u05e8 \u05d1\u05d0\u05d5\u05e4\u05df \u05d0\u05d5\u05d8\u05d5\u05de\u05d8\u05d9 \u05d5\u05d0\u05d9\u05e0\u05d5 \u05de\u05d4\u05d5\u05d5\u05d4 \u05d4\u05de\u05dc\u05e6\u05ea \u05d4\u05e9\u05e7\u05e2\u05d4.</p>\n                <p style=\"margin: 0;\">\u05d9\u05e9 \u05dc\u05d4\u05ea\u05d9\u05d9\u05e2\u05e5 \u05e2\u05dd \u05d9\u05d5\u05e2\u05e5 \u05d4\u05e9\u05e7\u05e2\u05d5\u05ea \u05de\u05d5\u05e8\u05e9\u05d4 \u05dc\u05e4\u05e0\u05d9 \u05e7\u05d1\u05dc\u05ea \u05d4\u05d7\u05dc\u05d8\u05d5\u05ea \u05d4\u05e9\u05e7\u05e2\u05d4.</p>\n            </div>\n            <div style=\"margin-top: 20px;\">\n                \u05e0\u05d1\u05e0\u05d4 \u05d1-\u2764\ufe0f \u05e2\"\u05d9 <a href=\"{{ $env.WEBHOOK_URL }}\" style=\"display: inline-block; text-decoration: none;\">\u05e2\u05d9\u05dc\u05d9 \u05d2\u05d6</a>\n            </div>\n        </div>\n        \n    </div>\n\n</body>\n</html>"}, "typeVersion": 1.2, "notes": "This html node performs automated tasks as part of the workflow."}, {"id": "84a2fe62-e936-49ca-83d6-a02371e02166", "name": "Send Stock Analysis", "type": "n8n-nodes-base.emailSend", "position": [2280, -100], "webhookId": "0de4d8cd-3519-4a4a-a05b-a9c973b64141", "parameters": {"html": "={{ $json.html }}", "options": {}, "subject": "=\u05d4\u05e1\u05e7\u05d9\u05e8\u05d4 \u05d4\u05d9\u05d5\u05de\u05d9\u05ea \u05e9\u05dc \u05de\u05e0\u05d9\u05d9\u05ea {{ $('AI Agent').item.json.output.stockSymbol }}: {{ $('AI Agent').item.json.output.analysisDate }}", "toEmail": "={{ $('On form submission').item.json[\"Email:\"] }}", "fromEmail": "Elay's AI Assistant <elayguez@gmail.com>"}, "credentials": {"smtp": {"id": "583PMpoYf46gbncd", "name": "SMTP account"}}, "executeOnce": false, "typeVersion": 2.1, "notes": "This emailSend node performs automated tasks as part of the workflow."}, {"id": "36943e20-b0fc-40b0-b695-e0bdbd9182d1", "name": "Adjust HTML Colors", "type": "n8n-nodes-base.code", "position": [2080, -100], "parameters": {"jsCode": "// New function to remove topics with only one article - ultra-simple approach\nfunction removeSingleArticleTopics(html) {\n  // First, see if there are any topics with exactly 1 article\n  if (!html.includes('<strong>1</strong> \u05de\u05d0\u05de\u05e8\u05d9\u05dd')) {\n    console.log('No topics with 1 article found');\n    return html;\n  }\n\n  // Find each line that contains the \"\u05e0\u05d5\u05e9\u05d0\" comment\n  // and check if it has exactly 1 article mentioned\n  const lines = html.split('\\n');\n  const linesToRemove = [];\n\n  // For each line containing \"1 \u05de\u05d0\u05de\u05e8\u05d9\u05dd\", find the topic it belongs to\n  for (let i = 0; i < lines.length; i++) {\n    if (lines[i].includes('<strong>1</strong> \u05de\u05d0\u05de\u05e8\u05d9\u05dd')) {\n      console.log(`Found line ${i} with 1 article mention`);\n      \n      // Go back to find the start of this topic\n      let startLine = -1;\n      for (let j = i; j >= 0; j--) {\n        if (lines[j].includes('<!-- \u05e0\u05d5\u05e9\u05d0') || \n            lines[j].includes('<div style=\"margin-bottom: 15px; padding-bottom: 15px; border-bottom:')) {\n          startLine = j;\n          break;\n        }\n      }\n      \n      if (startLine === -1) {\n        console.log(`Couldn't find start of topic for line ${i}`);\n        continue;\n      }\n      \n      // Go forward to find the end of this topic\n      let endLine = -1;\n      let divCount = 0;\n      for (let j = startLine; j < lines.length; j++) {\n        // Count opening divs\n        const openMatches = lines[j].match(/<div/g);\n        if (openMatches) {\n          divCount += openMatches.length;\n        }\n        \n        // Count closing divs\n        const closeMatches = lines[j].match(/<\\/div>/g);\n        if (closeMatches) {\n          divCount -= closeMatches.length;\n        }\n        \n        // When divCount returns to 0, we've found the end\n        if (divCount === 0 && j > startLine) {\n          endLine = j;\n          break;\n        }\n      }\n      \n      if (endLine === -1) {\n        console.log(`Couldn't find end of topic for line ${i}`);\n        continue;\n      }\n      \n      // Now we have the start and end lines of the topic\n      console.log(`Found topic from line ${startLine} to ${endLine}`);\n      \n      // Mark these lines for removal\n      for (let j = startLine; j <= endLine; j++) {\n        linesToRemove.push(j);\n      }\n    }\n  }\n  \n  // Remove the marked lines\n  const newLines = [];\n  for (let i = 0; i < lines.length; i++) {\n    if (!linesToRemove.includes(i)) {\n      newLines.push(lines[i]);\n    }\n  }\n  \n  console.log(`Removed ${linesToRemove.length} lines in total`);\n  return newLines.join('\\n');\n}// Code for updating colors according to sentiment - for n8n\n\n// Define colors by sentiment type\nconst colors = {\n  positive: {\n    main: '#29cc7a',          // Green\n    background: 'rgba(41, 204, 122, 0.15)',\n    gradient: 'rgba(41, 204, 122, 0.07)',\n    accent: 'rgba(41, 204, 122, 0.1)'\n  },\n  neutral: {\n    main: '#f7b955',          // Orange\n    background: 'rgba(247, 185, 85, 0.15)',\n    gradient: 'rgba(247, 185, 85, 0.07)',\n    accent: 'rgba(247, 185, 85, 0.1)'\n  },\n  negative: {\n    main: '#f55e5e',          // Red\n    background: 'rgba(245, 94, 94, 0.15)',\n    gradient: 'rgba(245, 94, 94, 0.07)',\n    accent: 'rgba(245, 94, 94, 0.1)'\n  }\n};\n\n// Function to identify sentiment type from text\nfunction getSentimentType(text) {\n  if (!text) return 'neutral';\n  \n  const lowerText = text.toLowerCase();\n  \n  // Negative keywords - check first because there are expressions with both \"positive\" and \"negative\" together\n  if (lowerText.includes('\u05e9\u05dc\u05d9\u05dc\u05d9') || lowerText.includes('negative') || \n      lowerText.includes('bearish') || lowerText.includes('\u05d9\u05e8\u05d9\u05d3\u05d4') || \n      lowerText.includes('\u05d3\u05d5\u05d1\u05d9') || lowerText.includes('\u05de\u05db\u05d9\u05e8\u05d4') || \n      lowerText.includes('\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05d6\u05e7') || lowerText.includes('\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05dc\u05e9') ||\n      lowerText.includes('\u05e9\u05dc\u05d9\u05dc\u05d9\u05ea')) {\n    return 'negative';\n  }\n  \n  // Positive keywords\n  if (lowerText.includes('\u05d7\u05d9\u05d5\u05d1\u05d9') || lowerText.includes('positive') || \n      lowerText.includes('bullish') || lowerText.includes('\u05e2\u05dc\u05d9\u05d9\u05d4') || \n      lowerText.includes('\u05e9\u05d5\u05e8\u05d9') || lowerText.includes('\u05e7\u05e0\u05d9\u05d9\u05d4') || \n      lowerText.includes('\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05d6\u05e7') || lowerText.includes('\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05dc\u05e9') ||\n      lowerText.includes('\u05d7\u05d9\u05d5\u05d1\u05d9\u05ea')) {\n    return 'positive';\n  }\n  \n  // Additional check for expressions containing only \"strong\" or \"weak\"\n  if (lowerText.includes('\u05d7\u05d6\u05e7')) {\n    // If no negative word, assume it's positive\n    return 'positive';\n  }\n  \n  // Default - neutral\n  return 'neutral';\n}\n\n// Function to check if a specific text belongs to a sentiment - used for bug fixing\nfunction debugSentiment(text) {\n  console.log(`Sentiment check: \"${text}\" => ${getSentimentType(text)}`);\n}\n\n// New function to remove undefined articles from HTML\nfunction removeUndefinedArticles(html) {\n  // Find all article blocks\n  const articleBlocksRegex = /<tr>\\s*<td style=\"padding-bottom: 16px;\">\\s*<table[^>]*>[\\s\\S]*?<\\/table>\\s*<\\/td>\\s*<\\/tr>/g;\n  const articleBlocks = Array.from(html.matchAll(articleBlocksRegex));\n  \n  // No articles found\n  if (!articleBlocks || articleBlocks.length === 0) {\n    console.log(\"No article blocks found\");\n    return html;\n  }\n  \n  // Function to check if an article is fully undefined\n  function isFullyUndefinedArticle(articleHtml) {\n    // An article is considered fully undefined if:\n    // 1. It has href=\"undefined\"\n    // 2. It has link text that is \"undefined\"\n    // 3. It has \"undefined | undefined\" (source and date)\n    return articleHtml.includes('href=\"undefined\"') && \n           articleHtml.includes('>undefined</a>') &&\n           articleHtml.includes('undefined | undefined');\n  }\n  \n  // Identify blocks to remove\n  const blocksToRemove = [];\n  for (const match of articleBlocks) {\n    const block = match[0];\n    if (isFullyUndefinedArticle(block)) {\n      console.log(\"Found undefined article, will remove\");\n      blocksToRemove.push(match);\n    } else {\n      console.log(\"Found valid article, keeping it\");\n    }\n  }\n  \n  // If no blocks to remove, return original HTML\n  if (blocksToRemove.length === 0) {\n    console.log(\"No undefined articles found to remove\");\n    return html;\n  }\n  \n  console.log(`Found ${blocksToRemove.length} undefined articles to remove`);\n  \n  // Create a new string by removing the matches from end to start (to avoid index shifting)\n  let cleanedHtml = html;\n  for (let i = blocksToRemove.length - 1; i >= 0; i--) {\n    const match = blocksToRemove[i];\n    cleanedHtml = cleanedHtml.slice(0, match.index) + cleanedHtml.slice(match.index + match[0].length);\n  }\n  \n  return cleanedHtml;\n}\n\n// Get the HTML from the specified parameter\nconst html = $input.first().json.html;\nlet updatedHtml = html;\n\n// Bug checks - check several keywords\ndebugSentiment(\"\u05d7\u05d9\u05d5\u05d1\u05d9\");\ndebugSentiment(\"\u05e9\u05dc\u05d9\u05dc\u05d9\");\ndebugSentiment(\"\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9\");\ndebugSentiment(\"\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05d6\u05e7\");\ndebugSentiment(\"\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05d6\u05e7\");\ndebugSentiment(\"\u05d7\u05d9\u05d5\u05d1\u05d9-\u05d7\u05dc\u05e9\");\ndebugSentiment(\"\u05e9\u05dc\u05d9\u05dc\u05d9-\u05d7\u05dc\u05e9\");\n\n// 1. Update colors in the recommendation title\nconst titleMatch = html.match(/<h2 style=\"[^\"]*color: #[a-f0-9]+;[^\"]*\">([^<]+)<\\/h2>/i);\nif (titleMatch) {\n  const titleText = titleMatch[1].trim();\n  const titleSentiment = getSentimentType(titleText);\n  \n  // Update title color\n  updatedHtml = updatedHtml.replace(\n    /(<h2 style=\"[^\"]*color: )#[a-f0-9]+(;[^\"]*\">)/i,\n    `$1${colors[titleSentiment].main}$2`\n  );\n  \n  // Update side bar color\n  updatedHtml = updatedHtml.replace(\n    /(<div style=\"position: absolute; right: 0; top: 0; bottom: 0; width: 6px; background-color: )#[a-f0-9]+(;\"><\\/div>)/i,\n    `$1${colors[titleSentiment].main}$2`\n  );\n  \n  // Update gradient color\n  updatedHtml = updatedHtml.replace(\n    /(<div style=\"position: absolute; right: 0; top: 0; width: 100%; height: 100%; background: linear-gradient\\(90deg, )rgba\\([^)]+\\)( 0%, )rgba\\([^)]+\\)( 50%\\);\"><\\/div>)/i,\n    `$1${colors[titleSentiment].gradient}$2${colors[titleSentiment].gradient.replace('0.07', '0')}$3`\n  );\n  \n  // Update icon background color\n  updatedHtml = updatedHtml.replace(\n    /(<div style=\"display: inline-block; width: 40px; height: 40px; border-radius: 50%; margin-bottom: 10px; background-color: )rgba\\([^)]+\\)(; text-align: center;\">)/i,\n    `$1${colors[titleSentiment].background}$2`\n  );\n}\n\n// 2. Update overall sentiment color\nconst sentimentMatch = updatedHtml.match(/<span style=\"[^\"]*font-weight: 600; color: #[a-f0-9]+;[^\"]*\">([^<]+)<\\/span>/i);\nif (sentimentMatch) {\n  const sentimentText = sentimentMatch[1].trim();\n  const sentimentType = getSentimentType(sentimentText);\n  \n  updatedHtml = updatedHtml.replace(\n    /(<span style=\"[^\"]*font-weight: 600; color: )#[a-f0-9]+(;[^\"]*\">)/i,\n    `$1${colors[sentimentType].main}$2`\n  );\n}\n\n// 3. Update article colors\nconst articleBlocks = updatedHtml.match(/<tr>\\s*<td style=\"padding-bottom: 16px;\">\\s*<table[^>]*>[\\s\\S]*?<\\/table>\\s*<\\/td>\\s*<\\/tr>/g);\nif (articleBlocks) {\n  for (const block of articleBlocks) {\n    // Check if this is a fully undefined article before skipping\n    const isUndefined = block.includes('href=\"undefined\"') && \n                        block.includes('>undefined</a>') && \n                        block.includes('undefined | undefined');\n    \n    // Skip if this is a completely undefined article\n    if (isUndefined) {\n      console.log(\"Skipping color update for undefined article\");\n      continue;\n    }\n    \n    // Find sentiment within the block\n    const articleSentimentMatch = block.match(/<div style=\"[^\"]*padding: 3px 10px;[^\"]*\">([^<]+)<\\/div>/i);\n    if (articleSentimentMatch) {\n      const articleSentimentText = articleSentimentMatch[1].trim();\n      const articleSentimentType = getSentimentType(articleSentimentText);\n      \n      // Debug check - log the identified sentiment\n      debugSentiment(articleSentimentText);\n      \n      // Create updated block\n      let updatedBlock = block;\n      \n      // Update side line color\n      updatedBlock = updatedBlock.replace(\n        /(<td width=\"4\" style=\"background-color: )#[a-f0-9]+(;\"><\\/td>)/i,\n        `$1${colors[articleSentimentType].main}$2`\n      );\n      \n      // Update sentiment tag colors (background and text color)\n      updatedBlock = updatedBlock.replace(\n        /(<div style=\"[^\"]*background-color: )rgba\\([^)]+\\)(; color: )#[a-f0-9]+(;[^\"]*\">)/i,\n        `$1${colors[articleSentimentType].accent}$2${colors[articleSentimentType].main}$3`\n      );\n      \n      // Replace the block with its updated version\n      updatedHtml = updatedHtml.replace(block, updatedBlock);\n    }\n  }\n}\n\n// 4. Update recommendation button color\nconst buttonMatch = updatedHtml.match(/<a style=\"[^\"]*background-color: #[a-f0-9]+;[^\"]*\">([^<]+)<\\/a>/i);\nif (buttonMatch) {\n  const buttonText = buttonMatch[1].trim();\n  let buttonSentiment = 'neutral'; // Default\n  \n  // Determine sentiment based on button text\n  if (buttonText.includes(\"\u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05e7\u05e0\u05d5\u05ea\")) {\n    buttonSentiment = 'positive';\n  } else if (buttonText.includes(\"\u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05de\u05db\u05d5\u05e8\")) {\n    buttonSentiment = 'negative';\n  } else if (buttonText.includes(\"\u05de\u05de\u05dc\u05d9\u05e5 \u05dc\u05d7\u05db\u05d5\u05ea\")) {\n    buttonSentiment = 'neutral';\n  }\n  \n  // Update button background color\n  updatedHtml = updatedHtml.replace(\n    /(<a style=\"[^\"]*background-color: )#[a-f0-9]+(;[^\"]*\">)/i,\n    `$1${colors[buttonSentiment].main}$2`\n  );\n  \n  // Update box-shadow color\n  const boxShadowRgba = `rgba(${parseInt(colors[buttonSentiment].main.substring(1, 3), 16)}, ${parseInt(colors[buttonSentiment].main.substring(3, 5), 16)}, ${parseInt(colors[buttonSentiment].main.substring(5, 7), 16)}, 0.25)`;\n  updatedHtml = updatedHtml.replace(\n    /(box-shadow: 0 4px 6px )rgba\\([^)]+\\)(;[^\"]*\">)/i,\n    `$1${boxShadowRgba}$2`\n  );\n}\n\n// 5. Remove undefined articles\nupdatedHtml = removeUndefinedArticles(updatedHtml);\n\n// 6. Remove topics with only one article\nupdatedHtml = removeSingleArticleTopics(updatedHtml);\n\n// Return updated HTML\nreturn { html: updatedHtml };"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "d9174ea1-e42b-4533-98ab-9dc8f94055db", "name": "Think", "type": "n8n-nodes-base.noOp", "position": [1680, 140], "parameters": {}, "typeVersion": 1, "notes": "This toolThink node performs automated tasks as part of the workflow."}, {"id": "ca2820e9-553d-477b-9084-74b2fab92cc9", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [940, 260], "parameters": {"color": 3, "width": 160, "height": 80, "content": "### Replace OpenAI Credentials"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "2e0013ca-2dda-425c-b6d8-bdd3b3cd262d", "name": "Generate Variables For API", "type": "n8n-nodes-base.code", "position": [2760, -20], "parameters": {"jsCode": "// Function to generate yesterday's date in the required format\nfunction getYesterdayDateFormat() {\n  // Create a current date object\n  const today = new Date();\n  \n  // Set the date to the previous day (yesterday)\n  today.setDate(today.getDate() - 1);\n  \n  // Reset hours, minutes, seconds and milliseconds to 00:00:00.000\n  today.setHours(0, 0, 0, 0);\n  \n  // Extract components\n  const year = today.getFullYear();\n  const month = String(today.getMonth() + 1).padStart(2, '0'); // Months in JS start from 0\n  const day = String(today.getDate()).padStart(2, '0');\n  const hours = String(today.getHours()).padStart(2, '0');\n  const minutes = String(today.getMinutes()).padStart(2, '0');\n  \n  // Build the string in the required format\n  return `${year}${month}${day}T${hours}${minutes}`;\n}\n// Calculate the date\nconst yesterdayDate = getYesterdayDateFormat();\n// Return the result in the format required by n8n - array of objects\nreturn [\n  {\n    json: {\n      wanted_date: yesterdayDate\n    }\n  }\n];"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "a3d8d689-7b9a-4d45-9a9b-ffb9597606a1", "name": "Set Variables", "type": "n8n-nodes-base.set", "position": [2920, -20], "parameters": {"values": {"number": [{"name": "wantedDate", "value": "={{ $json.wanted_date }}"}], "string": [{"name": "stockSymbol", "value": "={{ $('Workflow Input Trigger').item.json.ticker }}"}, {"name": "apikey"}]}, "options": {}}, "typeVersion": 2, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "f4eeb758-ba3e-4fb2-882f-7422bdcdc30b", "name": "Get News Data", "type": "n8n-nodes-base.httpRequest", "position": [3100, -20], "parameters": {"url": "{{ $env.BASE_URL }}", "options": {}}, "typeVersion": 4.1, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "87a2eb36-36e2-427d-8db2-2de3a280e404", "name": "Analyse API Input", "type": "n8n-nodes-base.code", "position": [3280, -20], "parameters": {"jsCode": "/**\n * Custom code for n8n Code node to analyze news data from Alpha Vantage\n * \n * - The code receives API data from the previous node\n * - Analyzes sentiment, leading articles, and hot topics\n * - Returns a structured JSON object for further processing\n */\n\nconst stockSymbol = $('Set Variables').first().json.stockSymbol\nconst allNews = $input.first().json.feed\n  ;\nconst today = new Date().toISOString().split('T')[0]; // Current date in YYYY-MM-DD format\n\n// Filter articles relevant to the stock\nconst relevantArticles = allNews.filter(article => {\n  return article.ticker_sentiment && article.ticker_sentiment.some(ticker => \n    ticker.ticker === stockSymbol\n  );\n});\n\n// Sentiment analysis\nlet sentimentCounts = {\n  \"Bullish\": 0,\n  \"Somewhat-Bullish\": 0,\n  \"Neutral\": 0,\n  \"Somewhat-Bearish\": 0,\n  \"Bearish\": 0\n};\n\nlet totalSentimentScore = 0;\nlet totalRelevanceScore = 0;\n\nrelevantArticles.forEach(article => {\n  const stockTicker = article.ticker_sentiment.find(ticker => ticker.ticker === stockSymbol);\n  if (stockTicker) {\n    sentimentCounts[stockTicker.ticker_sentiment_label]++;\n    totalSentimentScore += parseFloat(stockTicker.ticker_sentiment_score) * parseFloat(stockTicker.relevance_score);\n    totalRelevanceScore += parseFloat(stockTicker.relevance_score);\n  }\n});\n\nconst avgSentimentScore = totalRelevanceScore > 0 ? totalSentimentScore / totalRelevanceScore : 0;\n\n// Determining overall sentiment\nlet overallSentiment;\nif (avgSentimentScore >= 0.35) {\n  overallSentiment = \"\u05d7\u05d9\u05d5\u05d1\u05d9 \u05de\u05d0\u05d5\u05d3\";\n} else if (avgSentimentScore >= 0.15) {\n  overallSentiment = \"\u05d7\u05d9\u05d5\u05d1\u05d9\";\n} else if (avgSentimentScore > -0.15) {\n  overallSentiment = \"\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9\";\n} else if (avgSentimentScore > -0.35) {\n  overallSentiment = \"\u05e9\u05dc\u05d9\u05dc\u05d9\";\n} else {\n  overallSentiment = \"\u05e9\u05dc\u05d9\u05dc\u05d9 \u05de\u05d0\u05d5\u05d3\";\n}\n\n// Most influential articles\nconst topArticles = relevantArticles\n  .map(article => {\n    const stockTicker = article.ticker_sentiment.find(ticker => ticker.ticker === stockSymbol);\n    return {\n      title: article.title,\n      url: article.url,\n      source: article.source,\n      date: formatDate(article.time_published),\n      sentiment_label: stockTicker ? stockTicker.ticker_sentiment_label : \"N/A\",\n      sentiment_score: stockTicker ? parseFloat(stockTicker.ticker_sentiment_score) : 0,\n      relevance_score: stockTicker ? parseFloat(stockTicker.relevance_score) : 0,\n      impact_score: stockTicker ? Math.abs(parseFloat(stockTicker.ticker_sentiment_score) * parseFloat(stockTicker.relevance_score)) : 0\n    };\n  })\n  .sort((a, b) => b.impact_score - a.impact_score)\n  .slice(0, 5);\n\n// Analysis of main topics\nconst topicsMap = {};\n\nrelevantArticles.forEach(article => {\n  if (article.topics) {\n    article.topics.forEach(topic => {\n      if (!topicsMap[topic.topic]) {\n        topicsMap[topic.topic] = {\n          count: 0,\n          relevance: 0\n        };\n      }\n      topicsMap[topic.topic].count++;\n      topicsMap[topic.topic].relevance += parseFloat(topic.relevance_score);\n    });\n  }\n});\n\nconst hotTopics = Object.entries(topicsMap)\n  .map(([topic, data]) => ({\n    topic,\n    article_count: data.count,\n    average_relevance: (data.relevance / data.count).toFixed(2)\n  }))\n  .sort((a, b) => b.article_count - a.article_count)\n  .slice(0, 5);\n\n// Creating result object\nconst analysisResult = {\n  stock_symbol: stockSymbol,\n  analysis_date: today,\n  sentiment_analysis: {\n    overall_sentiment: overallSentiment,\n    sentiment_score: parseFloat(avgSentimentScore.toFixed(4)),\n    sentiment_distribution: sentimentCounts\n  },\n  top_articles: topArticles.map(article => ({\n    title: article.title,\n    source: article.source,\n    url: article.url,\n    date: article.date,\n    sentiment: article.sentiment_label,\n    impact_score: article.impact_score.toFixed(4)\n  })),\n  hot_topics: hotTopics,\n  recent_trends: {\n    description: getTrendDescription(overallSentiment, hotTopics),\n    market_outlook: getMarketOutlook(overallSentiment)\n  }\n};\n\n// Helper functions\nfunction formatDate(dateStr) {\n  if (!dateStr) return \"N/A\";\n  \n  try {\n    // Format: 20250418T152049 -> 2025-04-18\n    const year = dateStr.substring(0, 4);\n    const month = dateStr.substring(4, 6);\n    const day = dateStr.substring(6, 8);\n    return `${year}-${month}-${day}`;\n  } catch (e) {\n    return dateStr;\n  }\n}\n\nfunction getTrendDescription(sentiment, topics) {\n  let description = \"\";\n  \n  if (sentiment === \"\u05d7\u05d9\u05d5\u05d1\u05d9 \u05de\u05d0\u05d5\u05d3\" || sentiment === \"\u05d7\u05d9\u05d5\u05d1\u05d9\") {\n    description = \"\u05de\u05d2\u05de\u05d4 \u05d7\u05d9\u05d5\u05d1\u05d9\u05ea \u05db\u05d0\u05e9\u05e8 \u05de\u05e9\u05e7\u05d9\u05e2\u05d9\u05dd \u05de\u05ea\u05de\u05e7\u05d3\u05d9\u05dd \u05d1\u05e2\u05d9\u05e7\u05e8 \u05d1\";\n  } else if (sentiment === \"\u05e9\u05dc\u05d9\u05dc\u05d9 \u05de\u05d0\u05d5\u05d3\" || sentiment === \"\u05e9\u05dc\u05d9\u05dc\u05d9\") {\n    description = \"\u05de\u05d2\u05de\u05d4 \u05e9\u05dc\u05d9\u05dc\u05d9\u05ea \u05db\u05d0\u05e9\u05e8 \u05d4\u05d7\u05e9\u05e9\u05d5\u05ea \u05d4\u05e2\u05d9\u05e7\u05e8\u05d9\u05d9\u05dd \u05de\u05ea\u05de\u05e7\u05d3\u05d9\u05dd \u05d1\";\n  } else {\n    description = \"\u05de\u05d2\u05de\u05d4 \u05de\u05e2\u05d5\u05e8\u05d1\u05ea \u05e2\u05dd \u05d4\u05ea\u05de\u05e7\u05d3\u05d5\u05ea \u05d1\";\n  }\n  \n  if (topics.length > 0) {\n    const topThreeTopics = topics.slice(0, Math.min(3, topics.length));\n    description += topThreeTopics.map(t => t.topic).join(\", \");\n  } else {\n    description += \"\u05de\u05d2\u05d5\u05d5\u05df \u05e0\u05d5\u05e9\u05d0\u05d9\u05dd\";\n  }\n  \n  return description + \".\";\n}\n\nfunction getMarketOutlook(sentiment) {\n  if (sentiment === \"\u05d7\u05d9\u05d5\u05d1\u05d9 \u05de\u05d0\u05d5\u05d3\") {\n    return \"\u05ea\u05d7\u05d6\u05d9\u05ea \u05e9\u05d5\u05e7 \u05d7\u05d9\u05d5\u05d1\u05d9\u05ea \u05de\u05d0\u05d5\u05d3. \u05d4\u05e1\u05e0\u05d8\u05d9\u05de\u05e0\u05d8 \u05d4\u05db\u05dc\u05dc\u05d9 \u05de\u05e6\u05d1\u05d9\u05e2 \u05e2\u05dc \u05d0\u05de\u05d5\u05df \u05de\u05e9\u05e7\u05d9\u05e2\u05d9\u05dd \u05d2\u05d1\u05d5\u05d4 \u05d5\u05e4\u05d5\u05d8\u05e0\u05e6\u05d9\u05d0\u05dc \u05dc\u05e2\u05dc\u05d9\u05d9\u05d4 \u05d1\u05d8\u05d5\u05d5\u05d7 \u05d4\u05e7\u05e6\u05e8.\";\n  } else if (sentiment === \"\u05d7\u05d9\u05d5\u05d1\u05d9\") {\n    return \"\u05ea\u05d7\u05d6\u05d9\u05ea \u05e9\u05d5\u05e7 \u05d7\u05d9\u05d5\u05d1\u05d9\u05ea. \u05d9\u05e9\u05e0\u05df \u05d0\u05d9\u05e0\u05d3\u05d9\u05e7\u05e6\u05d9\u05d5\u05ea \u05dc\u05d0\u05d5\u05e4\u05d8\u05d9\u05de\u05d9\u05d5\u05ea \u05d6\u05d4\u05d9\u05e8\u05d4 \u05d1\u05e7\u05e8\u05d1 \u05de\u05e9\u05e7\u05d9\u05e2\u05d9\u05dd.\";\n  } else if (sentiment === \"\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9\") {\n    return \"\u05ea\u05d7\u05d6\u05d9\u05ea \u05e9\u05d5\u05e7 \u05de\u05e2\u05d5\u05e8\u05d1\u05ea. \u05e7\u05d9\u05d9\u05de\u05d9\u05dd \u05db\u05d5\u05d7\u05d5\u05ea \u05de\u05d0\u05d6\u05e0\u05d9\u05dd \u05e9\u05dc \u05d0\u05d5\u05e4\u05d8\u05d9\u05de\u05d9\u05d5\u05ea \u05d5\u05e4\u05e1\u05d9\u05de\u05d9\u05d5\u05ea \u05d1\u05e9\u05d5\u05e7.\";\n  } else if (sentiment === \"\u05e9\u05dc\u05d9\u05dc\u05d9\") {\n    return \"\u05ea\u05d7\u05d6\u05d9\u05ea \u05e9\u05d5\u05e7 \u05e9\u05dc\u05d9\u05dc\u05d9\u05ea. \u05d9\u05e9\u05e0\u05df \u05d3\u05d0\u05d2\u05d5\u05ea \u05d1\u05e7\u05e8\u05d1 \u05de\u05e9\u05e7\u05d9\u05e2\u05d9\u05dd \u05e9\u05e2\u05e9\u05d5\u05d9\u05d5\u05ea \u05dc\u05d4\u05e9\u05e4\u05d9\u05e2 \u05e2\u05dc \u05d4\u05de\u05e0\u05d9\u05d4 \u05d1\u05d8\u05d5\u05d5\u05d7 \u05d4\u05e7\u05e6\u05e8.\";\n  } else {\n    return \"\u05ea\u05d7\u05d6\u05d9\u05ea \u05e9\u05d5\u05e7 \u05e9\u05dc\u05d9\u05dc\u05d9\u05ea \u05de\u05d0\u05d5\u05d3. \u05e7\u05d9\u05d9\u05de\u05ea \u05d0\u05d5\u05d5\u05d9\u05e8\u05ea \u05d6\u05d4\u05d9\u05e8\u05d5\u05ea \u05de\u05e9\u05de\u05e2\u05d5\u05ea\u05d9\u05ea \u05d5\u05e0\u05d8\u05d9\u05d9\u05d4 \u05dc\u05de\u05db\u05d9\u05e8\u05d5\u05ea.\";\n  }\n}\n\n// Return the object for further flow in n8n\nreturn {\n  json: analysisResult\n};"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "8a108780-d2e3-4cc7-bf7f-49da726f37fd", "name": "Workflow Input Trigger", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [740, 800], "parameters": {"workflowInputs": {"values": [{"name": "ticker"}, {"name": "chart_style"}]}}, "typeVersion": 1.1, "notes": "This executeWorkflowTrigger node performs automated tasks as part of the workflow."}, {"id": "8491ca61-2367-401e-9ff2-4f1d90f3ce59", "name": "Download Chart", "type": "n8n-nodes-base.httpRequest", "position": [1540, 520], "parameters": {"url": "{{ $env.BASE_URL }}", "options": {}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "1250dca0-d4d6-4890-9aa4-110cd0f0fbb6", "name": "Get Chart URL", "type": "n8n-nodes-base.httpRequest", "position": [1320, 520], "parameters": {"url": "{{ $env.API_BASE_URL }}", "method": "POST", "options": {"response": {"response": {"responseFormat": "json"}}}, "jsonBody": "={\n  \"style\": \"candle\",\n  \"theme\": \"light\",\n  \"interval\": \"1W\",\n  \"symbol\": \"NASDAQ:{{ $json.ticker }}\",\n  \"override\": {\n    \"showStudyLastValue\": false\n  },\n  \"studies\": [\n    {\n      \"name\": \"Volume\",\n      \"forceOverlay\": true\n    },\n    {\n      \"name\": \"Moving Average Exponential\",\n      \"inputs\": {\n        \"length\": 200\n      }\n    },\n    {\n      \"name\": \"Relative Strength Index\"\n    }\n  ]\n}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpHeaderAuth", "headerParameters": {"parameters": [{"name": "Content-Type", "value": "application/json"}]}}, "credentials": {"httpHeaderAuth": {"id": "cnQIlBI286n0AZiU", "name": "Header Auth account"}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "cfc9c470-c284-4d58-b6be-260f36d3d2b7", "name": "Get Price History", "type": "n8n-nodes-base.httpRequest", "position": [1320, 800], "parameters": {"url": "{{ $env.BASE_URL }}", "options": {"response": {"response": {"responseFormat": "json"}}}, "sendQuery": true, "queryParameters": {"parameters": [{"name": "symbol", "value": "={{ $json.ticker }}"}, {"name": "interval", "value": "1day"}, {"name": "outputsize", "value": "180"}, {"name": "apikey", "value": "={{ $json.TwelveData_API_Key }}"}]}}, "typeVersion": 4.1, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "3974f7f8-99b3-43b2-83f3-05819cdde7b2", "name": "Get Bollinger Bands", "type": "n8n-nodes-base.httpRequest", "position": [1320, 960], "parameters": {"url": "{{ $env.BASE_URL }}", "options": {"response": {"response": {"responseFormat": "json"}}}, "sendQuery": true, "queryParameters": {"parameters": [{"name": "symbol", "value": "={{ $json.ticker }}"}, {"name": "interval", "value": "1day"}, {"name": "outputsize", "value": "1"}, {"name": "apikey", "value": "={{ $json.TwelveData_API_Key }}"}]}}, "typeVersion": 4.1, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "0d333729-3fe5-4253-9989-16adaf1166b8", "name": "Get MACD", "type": "n8n-nodes-base.httpRequest", "position": [1320, 1120], "parameters": {"url": "{{ $env.BASE_URL }}", "options": {"response": {"response": {"responseFormat": "json"}}}, "sendQuery": true, "queryParameters": {"parameters": [{"name": "symbol", "value": "={{ $json.ticker }}"}, {"name": "interval", "value": "1day"}, {"name": "outputsize", "value": "1"}, {"name": "apikey", "value": "={{ $json.TwelveData_API_Key }}"}]}}, "typeVersion": 4.1, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "4bd10a52-082b-4842-91ee-ef748c6ba695", "name": "Merge", "type": "n8n-nodes-base.merge", "position": [1820, 960], "parameters": {"numberInputs": 3}, "typeVersion": 3.1, "notes": "This merge node performs automated tasks as part of the workflow."}, {"id": "8061fbcf-d138-44b5-b6d7-14c7a4e5904e", "name": "Calculate Support Resistance", "type": "n8n-nodes-base.code", "position": [1540, 800], "parameters": {"jsCode": "// Get historical price data\nconst data = $input.item.json;\n\n// Check if data exists\nif (!data.values || data.values.length === 0) {\n  return { json: { error: \"No price data available\", ticker: data.meta?.symbol } };\n}\n\n// Convert prices to numbers\nconst prices = data.values.map(v => parseFloat(v.close)).reverse();\n\n// Function to calculate Fibonacci levels\nfunction calculateFibonacciLevels() {\n  // Find min and max prices\n  const max = Math.max(...prices);\n  const min = Math.min(...prices);\n  const diff = max - min;\n  \n  return {\n    level_0: min.toFixed(2),\n    level_0_236: (min + diff * 0.236).toFixed(2),\n    level_0_382: (min + diff * 0.382).toFixed(2),\n    level_0_5: (min + diff * 0.5).toFixed(2),\n    level_0_618: (min + diff * 0.618).toFixed(2),\n    level_0_786: (min + diff * 0.786).toFixed(2),\n    level_1: max.toFixed(2)\n  };\n}\n// Function to identify support and resistance levels\nfunction findSupportResistanceLevels() {\n  // We need at least 30 data points\n  if (prices.length < 30) {\n    return { support: [], resistance: [] };\n  }\n  \n  const supportLevels = [];\n  const resistanceLevels = [];\n  \n  // Check each point (except edges) if it's a local minimum or maximum\n  const lookback = 5; // how many points to check in each direction\n  \n  for (let i = lookback; i < prices.length - lookback; i++) {\n    // Check for local minimum (support)\n    let isMinimum = true;\n    for (let j = i - lookback; j < i; j++) {\n      if (prices[j] <= prices[i]) {\n        isMinimum = false;\n        break;\n      }\n    }\n    \n    for (let j = i + 1; j <= i + lookback; j++) {\n      if (prices[j] <= prices[i]) {\n        isMinimum = false;\n        break;\n      }\n    }\n    \n    if (isMinimum) {\n      supportLevels.push(prices[i]);\n    }\n    \n    // Check for local maximum (resistance)\n    let isMaximum = true;\n    for (let j = i - lookback; j < i; j++) {\n      if (prices[j] >= prices[i]) {\n        isMaximum = false;\n        break;\n      }\n    }\n    \n    for (let j = i + 1; j <= i + lookback; j++) {\n      if (prices[j] >= prices[i]) {\n        isMaximum = false;\n        break;\n      }\n    }\n    \n    if (isMaximum) {\n      resistanceLevels.push(prices[i]);\n    }\n  }\n  \n  // Sort and remove duplicates\n  const uniqueSupports = [...new Set(supportLevels)];\n  const uniqueResistances = [...new Set(resistanceLevels)];\n  \n  // Return only significant levels (up to 5 of each)\n  return {\n    support: uniqueSupports.sort((a, b) => b - a).slice(0, 5).map(p => p.toFixed(2)),\n    resistance: uniqueResistances.sort((a, b) => a - b).slice(0, 5).map(p => p.toFixed(2))\n  };\n}\n\n// Calculate levels\nconst fibonacciLevels = calculateFibonacciLevels();\nconst supportResistanceLevels = findSupportResistanceLevels();\n\n// Return information with additional stock data\nreturn {\n  json: {\n    ticker: data.meta.symbol,\n    currentPrice: parseFloat(data.values[0].close).toFixed(2),\n    fibonacci: fibonacciLevels,\n    supportResistance: supportResistanceLevels,\n    dataPoints: prices.length\n  }\n};"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "c692581d-a41d-48ef-9a7a-0a20fbceea81", "name": "Organizing Data", "type": "n8n-nodes-base.code", "position": [2040, 960], "parameters": {"jsCode": "// Getting data from different sources\n// Checking existence of objects before trying to access them\nconst items = $input.all();\nconst fibData = $input.first().json;\n\n// Trying to locate bband and MACD data if they exist\nlet bbandsData = null;\nlet macdData = null;\n\n// Trying to check if there is data in additional items\nif (items.length > 1 && items[1] && items[1].json) {\n  bbandsData = items[1].json;\n}\n\nif (items.length > 2 && items[2] && items[2].json) {\n  macdData = items[2].json;\n}\n\n// Creating data structure for the response - ensure all fields exist\nconst result = {\n  ticker: fibData.ticker || \"\u05dc\u05d0 \u05d9\u05d3\u05d5\u05e2\",\n  currentPrice: fibData.currentPrice || \"0\",\n  timestamp: new Date().toISOString(),\n  technicalAnalysis: {\n    fibonacci: fibData.fibonacci || {},\n    supportResistance: fibData.supportResistance || { support: [], resistance: [] },\n    bollingerBands: {},\n    macd: {}\n  }\n};\n\n// Adding Bollinger Bands data - only if they exist\nif (bbandsData && bbandsData.values && bbandsData.values.length > 0) {\n  const bbands = bbandsData.values[0];\n  result.technicalAnalysis.bollingerBands = {\n    upperBand: parseFloat(bbands.upper_band).toFixed(2),\n    middleBand: parseFloat(bbands.middle_band).toFixed(2),\n    lowerBand: parseFloat(bbands.lower_band).toFixed(2)\n  };\n} else if (bbandsData && bbandsData.status === \"ok\") {\n  // If returning another data format\n  result.technicalAnalysis.bollingerBands = {\n    upperBand: bbandsData.upperBand || bbandsData.upper_band || \"0\",\n    middleBand: bbandsData.middleBand || bbandsData.middle_band || \"0\",\n    lowerBand: bbandsData.lowerBand || bbandsData.lower_band || \"0\"\n  };\n}\n\n// Adding MACD data - only if they exist\nif (macdData && macdData.values && macdData.values.length > 0) {\n  const macd = macdData.values[0];\n  result.technicalAnalysis.macd = {\n    macd: parseFloat(macd.macd).toFixed(2),\n    signal: parseFloat(macd.signal).toFixed(2),\n    histogram: parseFloat(macd.hist).toFixed(2)\n  };\n} else if (macdData && macdData.status === \"ok\") {\n  // If returning another data format\n  result.technicalAnalysis.macd = {\n    macd: macdData.macd || \"0\",\n    signal: macdData.signal || \"0\",\n    histogram: macdData.histogram || macdData.hist || \"0\"\n  };\n}\n\n// Creating summary and recommendation\nlet bullishFactors = [];\nlet bearishFactors = [];\n\n// Analyzing Bollinger Bands - only if data exists\nconst bbands = result.technicalAnalysis.bollingerBands;\nif (bbands.upperBand && bbands.lowerBand) {\n  const currentPrice = parseFloat(result.currentPrice);\n  const upperBand = parseFloat(bbands.upperBand);\n  const lowerBand = parseFloat(bbands.lowerBand);\n  \n  if (!isNaN(currentPrice) && !isNaN(upperBand) && !isNaN(lowerBand)) {\n    if (currentPrice > upperBand) {\n      bearishFactors.push(\"\u05de\u05d7\u05d9\u05e8 \u05de\u05e2\u05dc \u05e8\u05e6\u05d5\u05e2\u05ea \u05d1\u05d5\u05dc\u05d9\u05e0\u05d2\u05e8 \u05d4\u05e2\u05dc\u05d9\u05d5\u05e0\u05d4 - \u05d0\u05e4\u05e9\u05e8\u05d5\u05ea \u05dc\u05e7\u05e0\u05d9\u05d9\u05d4 \u05d9\u05ea\u05e8\");\n    } else if (currentPrice < lowerBand) {\n      bullishFactors.push(\"\u05de\u05d7\u05d9\u05e8 \u05de\u05ea\u05d7\u05ea \u05dc\u05e8\u05e6\u05d5\u05e2\u05ea \u05d1\u05d5\u05dc\u05d9\u05e0\u05d2\u05e8 \u05d4\u05ea\u05d7\u05ea\u05d5\u05e0\u05d4 - \u05d0\u05e4\u05e9\u05e8\u05d5\u05ea \u05dc\u05de\u05db\u05d9\u05e8\u05d4 \u05d9\u05ea\u05e8\");\n    }\n  }\n}\n\n// Analyzing MACD - only if data exists\nconst macdInfo = result.technicalAnalysis.macd;\nif (macdInfo.macd && macdInfo.signal) {\n  const macd = parseFloat(macdInfo.macd);\n  const signal = parseFloat(macdInfo.signal);\n  \n  if (!isNaN(macd) && !isNaN(signal)) {\n    if (macd > signal) {\n      bullishFactors.push(\"MACD \u05de\u05e2\u05dc \u05e7\u05d5 \u05d4\u05d0\u05d9\u05ea\u05d5\u05ea - \u05d0\u05d9\u05e0\u05d3\u05d9\u05e7\u05e6\u05d9\u05d4 \u05d7\u05d9\u05d5\u05d1\u05d9\u05ea\");\n    } else {\n      bearishFactors.push(\"MACD \u05de\u05ea\u05d7\u05ea \u05dc\u05e7\u05d5 \u05d4\u05d0\u05d9\u05ea\u05d5\u05ea - \u05d0\u05d9\u05e0\u05d3\u05d9\u05e7\u05e6\u05d9\u05d4 \u05e9\u05dc\u05d9\u05dc\u05d9\u05ea\");\n    }\n  }\n}\n\n// Analyzing support and resistance levels - only if data exists\nconst supportResistance = result.technicalAnalysis.supportResistance;\nif (supportResistance.support && supportResistance.resistance) {\n  const currentPrice = parseFloat(result.currentPrice);\n  \n  if (!isNaN(currentPrice)) {\n    const supports = supportResistance.support.map(s => parseFloat(s)).filter(s => !isNaN(s));\n    const resistances = supportResistance.resistance.map(r => parseFloat(r)).filter(r => !isNaN(r));\n    \n    // Finding the closest support level\n    let closestSupport = null;\n    let minSupportDist = Infinity;\n    for (const support of supports) {\n      if (support < currentPrice) {\n        const dist = currentPrice - support;\n        if (dist < minSupportDist) {\n          minSupportDist = dist;\n          closestSupport = support;\n        }\n      }\n    }\n    \n    // Finding the closest resistance level\n    let closestResistance = null;\n    let minResistanceDist = Infinity;\n    for (const resistance of resistances) {\n      if (resistance > currentPrice) {\n        const dist = resistance - currentPrice;\n        if (dist < minResistanceDist) {\n          minResistanceDist = dist;\n          closestResistance = resistance;\n        }\n      }\n    }\n    \n    // Adding support/resistance analysis\n    if (closestSupport !== null) {\n      const supportPercentage = ((currentPrice - closestSupport) / currentPrice * 100).toFixed(2);\n      if (supportPercentage < 5) {\n        bullishFactors.push(`\u05d4\u05de\u05d7\u05d9\u05e8 \u05e7\u05e8\u05d5\u05d1 \u05dc\u05e8\u05de\u05ea \u05ea\u05de\u05d9\u05db\u05d4 (${supportPercentage}%) - \u05d0\u05e4\u05e9\u05e8\u05d5\u05ea \u05dc\u05d4\u05d9\u05e4\u05d5\u05da \u05db\u05dc\u05e4\u05d9 \u05de\u05e2\u05dc\u05d4`);\n      }\n    }\n    \n    if (closestResistance !== null) {\n      const resistancePercentage = ((closestResistance - currentPrice) / currentPrice * 100).toFixed(2);\n      if (resistancePercentage < 5) {\n        bearishFactors.push(`\u05d4\u05de\u05d7\u05d9\u05e8 \u05e7\u05e8\u05d5\u05d1 \u05dc\u05e8\u05de\u05ea \u05d4\u05ea\u05e0\u05d2\u05d3\u05d5\u05ea (${resistancePercentage}%) - \u05d0\u05e4\u05e9\u05e8\u05d5\u05ea \u05dc\u05d4\u05d9\u05e4\u05d5\u05da \u05db\u05dc\u05e4\u05d9 \u05de\u05d8\u05d4`);\n      }\n    }\n  }\n}\n\n// Analyzing Fibonacci - only if data exists\nconst fibonacci = result.technicalAnalysis.fibonacci;\nif (fibonacci && Object.keys(fibonacci).length > 0) {\n  const currentPrice = parseFloat(result.currentPrice);\n  \n  if (!isNaN(currentPrice)) {\n    const fibLevels = Object.values(fibonacci).map(level => parseFloat(level)).filter(level => !isNaN(level));\n    fibLevels.sort((a, b) => a - b);\n    \n    // Checking which Fibonacci level the price is at\n    for (let i = 0; i < fibLevels.length - 1; i++) {\n      if (currentPrice >= fibLevels[i] && currentPrice <= fibLevels[i+1]) {\n        // If the price is close to a Fibonacci resistance level\n        if (Math.abs(currentPrice - fibLevels[i+1]) / currentPrice * 100 < 2) {\n          bearishFactors.push(`\u05d4\u05de\u05d7\u05d9\u05e8 \u05e7\u05e8\u05d5\u05d1 \u05dc\u05e8\u05de\u05ea \u05e4\u05d9\u05d1\u05d5\u05e0\u05d0\u05e6'\u05d9 ${[0, 23.6, 38.2, 50, 61.8, 78.6, 100][Math.min(i+1, 6)]}% - \u05d0\u05e4\u05e9\u05e8\u05d5\u05ea \u05dc\u05d4\u05ea\u05e0\u05d2\u05d3\u05d5\u05ea`);\n        }\n        // If the price is close to a Fibonacci support level\n        if (Math.abs(currentPrice - fibLevels[i]) / currentPrice * 100 < 2) {\n          bullishFactors.push(`\u05d4\u05de\u05d7\u05d9\u05e8 \u05e7\u05e8\u05d5\u05d1 \u05dc\u05e8\u05de\u05ea \u05e4\u05d9\u05d1\u05d5\u05e0\u05d0\u05e6'\u05d9 ${[0, 23.6, 38.2, 50, 61.8, 78.6, 100][Math.min(i, 6)]}% - \u05d0\u05e4\u05e9\u05e8\u05d5\u05ea \u05dc\u05ea\u05de\u05d9\u05db\u05d4`);\n        }\n        break;\n      }\n    }\n  }\n}\n\n// Adding general recommendation based on factors\nlet recommendation = \"\";\nif (bullishFactors.length > bearishFactors.length) {\n  recommendation = \"\u05d7\u05d9\u05d5\u05d1\u05d9\u05ea\";\n} else if (bearishFactors.length > bullishFactors.length) {\n  recommendation = \"\u05e9\u05dc\u05d9\u05dc\u05d9\u05ea\";\n} else {\n  recommendation = \"\u05e0\u05d9\u05d9\u05d8\u05e8\u05dc\u05d9\u05ea\";\n}\n\n// Adding summary to the result\nresult.summary = {\n  recommendation: recommendation,\n  bullishFactors: bullishFactors,\n  bearishFactors: bearishFactors\n};\n\nreturn { json: result };"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "d00b380b-43a4-478e-8265-d79299278867", "name": "Merge-2", "type": "n8n-nodes-base.merge", "position": [2440, 800], "parameters": {"mode": "combine", "options": {}, "combineBy": "combineByPosition"}, "typeVersion": 3.1, "notes": "This merge node performs automated tasks as part of the workflow."}, {"id": "4ca4c3aa-9c91-4a6c-973f-bb0ed3754a82", "name": "ChatGPT 4o", "type": "n8n-nodes-base.noOp", "position": [2900, 800], "parameters": {"modelId": {"__rl": true, "mode": "list", "value": "gpt-4o", "cachedResultName": "GPT-4O"}, "options": {}, "messages": {"values": [{"role": "system", "content": "# Role\nYou are a senior technical analyst who merges visual insights with quantitative indicators.\n\n# Inputs\n1. Visual JSON from Agent 1:\n   {\n     \"ai_agent_visual_analysis\": \"...\"\n   }\n2. Technical-indicator JSON in the format:\n   {\n     \"ticker\": \"...\",\n     \"currentPrice\": \"...\",\n     \"timestamp\": \"...\",\n     \"technicalAnalysis\": {\n       \"fibonacci\": { ... },\n       \"supportResistance\": { ... },\n       \"bollingerBands\": { ... },\n       \"macd\": { ... }\n     },\n     \"summary\": { ... }\n   }\n\n# Expected Sections\nWrite five titled sections exactly in this order:\n\n1. Quick Stats  \n   - Ticker, current price, timestamp  \n   - Overall recommendation from technical JSON, if present\n\n2. Candles and EMA  \n   - Use Agent 1 data: trendDirection, candlestickPatterns, emaRelation, volumeNotes\n\n3. RSI  \n   - Report rsiNumeric and rsiState from Agent 1  \n   - Mention rsiDivergence and its implication\n\n4. Indicator Synthesis  \n   - Fibonacci \u2013 cite closest level above and below price  \n   - Bollinger Bands \u2013 quote upper, middle, lower and note price position  \n   - MACD \u2013 quote macd, signal, histogram, note cross or momentum if numbers are valid  \n   - Support-Resistance \u2013 use technicalAnalysis plus priceZones from Agent 1 to highlight the nearest levels\n\n5. Actionable Takeaway  \n   - One sentence bias (bullish, bearish, neutral)  \n   - Clear next step such as watch for break above X or pullback to Y\n\n# Style Rules\n- Be concise and strictly data driven  \n- Every statement must reference either a value from the inputs or a specific visual observation from Agent 1  \n- No speculation beyond supplied data  \n- End after the Takeaway section \u2013 output nothing else"}, {"content": "={{ $json.textPayload }}"}]}}, "credentials": {"openAiApi": {"id": "2m1HH5crgPAhTJlv", "name": "OpenAi account"}}, "typeVersion": 1.8, "notes": "This openAi node performs automated tasks as part of the workflow."}, {"id": "d46f175b-0737-4e33-b8fc-4937f0c6456e", "name": "Set Variable", "type": "n8n-nodes-base.set", "position": [2040, 520], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "fdf7e016-7082-4146-9038-454139023990", "name": "ai_agent_visual_analysis", "type": "string", "value": "={{ $('First Technical Analysis').item.json.choices[0].message.content }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "186b6551-ac08-43f3-b000-9be984a4eb13", "name": "Warp as JSON for GPT", "type": "n8n-nodes-base.code", "position": [2660, 800], "parameters": {"jsCode": "/**\n * INPUT: items[0].json (Original JSON)\n * OUTPUT: { textPayload: \"```json\\n{ ... }\\n```\" }\n */\n\nconst pretty = JSON.stringify(items[0].json, null, 2);\nconst wrapped = `\\`\\`\\`json\\n${pretty}\\n\\`\\`\\``;\n\nreturn [\n  {\n    json: {\n      textPayload: wrapped\n    }\n  }\n];\n"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "b42da048-4e0a-4e45-b6a4-9272473844cb", "name": "Set Final Response", "type": "n8n-nodes-base.set", "position": [3280, 800], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "fdf7e016-7082-4146-9038-454139023990", "name": "response", "type": "string", "value": "={{ $json.message.content }}"}, {"id": "4e5afd49-67c2-40ab-bc8c-565dea3850ed", "name": "image", "type": "string", "value": "={{ $('Download Chart').item.json.url }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "c718d0a7-2689-42da-985f-17030583e51c", "name": "Set Stock Symbol and API Key", "type": "n8n-nodes-base.set", "position": [960, 800], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "cf5f7210-5b54-4f4a-abf7-87873be82df4", "name": "ticker", "type": "string", "value": "={{ $json.ticker }}"}, {"id": "9f008c4b-60e2-4d99-a119-b0170ec28358", "name": "TwelveData_API_Key", "type": "string", "value": ""}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "884a7e3b-3e8f-4c69-8950-5b0f1dd25f29", "name": "First Technical Analysis", "type": "n8n-nodes-base.noOp", "position": [1820, 520], "parameters": {"text": "=# Role\nYou are a visual chart analyst.  \nYour only input is a weekly candlestick chart image that shows:\n- Price candles and volume bars  \n- One short-term EMA line  \n- An RSI panel with its live value  \n\n# Task\nInspect the image and produce a **structured JSON** object with the following keys:\n\n{\n  \"rsiNumeric\": number,          // exact RSI value from the chart\n  \"rsiState\": \"overbought\" | \"oversold\" | \"neutral\",\n  \"rsiDivergence\": \"bullish\" | \"bearish\" | \"none\",\n  \"trendDirection\": \"up\" | \"down\" | \"sideways\",\n  \"candlestickPatterns\": [ \"pattern1\", \"pattern2\", ... ],   // max 3\n  \"emaRelation\": \"aboveEMA\" | \"belowEMA\" | \"testingEMA\",\n  \"volumeNotes\": \"string\",        // brief comment on recent volume behavior\n  \"priceZones\": {                 // visually inferred areas\n      \"potentialSupport\": [number, ...],  // up to 2 levels taken from visible lows\n      \"potentialResistance\": [number, ...]// up to 2 levels taken from visible highs\n  }\n}\n\n# Style Rules\n- Derive every value only from what is visible in the chart\n- Do not mention any external data or speculation\n- Return the JSON object only, nothing else\n", "modelId": {"__rl": true, "mode": "list", "value": "gpt-4o", "cachedResultName": "GPT-4O"}, "options": {"detail": "auto"}, "resource": "image", "simplify": false, "inputType": "base64", "operation": "analyze"}, "credentials": {"openAiApi": {"id": "2m1HH5crgPAhTJlv", "name": "OpenAi account"}}, "typeVersion": 1.8, "notes": "This openAi node performs automated tasks as part of the workflow."}, {"id": "ba7aca23-5d4c-4bfd-8d7f-af45aaa8d8a0", "name": "Schedule Trigger1", "type": "n8n-nodes-base.scheduleTrigger", "position": [2560, -20], "parameters": {"rule": {"interval": [{}]}}, "typeVersion": 1.2, "notes": "This scheduleTrigger node performs automated tasks as part of the workflow."}, {"id": "4b93b4ba-3369-4051-a92d-d3ff811fb566", "name": "Technical Analysis Tool", "type": "n8n-nodes-base.noOp", "position": [1360, 140], "parameters": {"name": "technical_analysis", "workflowId": {"__rl": true, "mode": "list", "value": "GDXsoM9kWq3cz53Y", "cachedResultName": "technical_analysis"}, "description": "Call this tool to get an analysis of a requested stock. It'll be obligatory to pass ticker.", "workflowInputs": {"value": {"ticker": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('ticker', ``, 'string') }}"}, "schema": [{"id": "ticker", "type": "string", "display": true, "required": false, "displayName": "ticker", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "chart_style", "type": "string", "display": true, "removed": true, "required": false, "displayName": "chart_style", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false}}, "typeVersion": 2, "notes": "This toolWorkflow node performs automated tasks as part of the workflow."}, {"id": "c5d70195-f90b-42b4-b056-52794c75c20f", "name": "Trends Analysis Tool", "type": "n8n-nodes-base.noOp", "position": [1520, 140], "parameters": {"name": "trends_analysis", "workflowId": {"__rl": true, "mode": "list", "value": "jnlklBcNkky9yFoc", "cachedResultName": "trends_analysis"}, "description": "Call this tool to get an analysis of a requested stock. It'll be obligatory to pass ticker.", "workflowInputs": {"value": {"ticker": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('ticker', ``, 'string') }}"}, "schema": [{"id": "ticker", "type": "string", "display": true, "required": false, "displayName": "ticker", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "chart_style", "type": "string", "display": true, "removed": true, "required": false, "displayName": "chart_style", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false}}, "typeVersion": 2, "notes": "This toolWorkflow node performs automated tasks as part of the workflow."}, {"id": "de8355ea-8f6b-4733-b5ac-06e080e42e30", "name": "Sticky Note16", "type": "n8n-nodes-base.stickyNote", "position": [2900, 120], "parameters": {"color": 3, "width": 160, "height": 80, "content": "### Replace Alphavantage API Key"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "9c25c2ab-796f-4156-8267-efe6d0182e9d", "name": "Sticky Note14", "type": "n8n-nodes-base.stickyNote", "position": [1800, 680], "parameters": {"color": 3, "width": 160, "height": 80, "content": "### Replace OpenAI Credentials"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "e78394cb-809e-4731-b74b-e8378f8e2bc9", "name": "Sticky Note15", "type": "n8n-nodes-base.stickyNote", "position": [2900, 920], "parameters": {"color": 3, "width": 160, "height": 80, "content": "### Replace OpenAI Credentials"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "dcf46ba4-b309-4d41-8041-717d564c0690", "name": "Sticky Note17", "type": "n8n-nodes-base.stickyNote", "position": [1300, 680], "parameters": {"color": 3, "width": 160, "height": 80, "content": "### Replace Chart-img API Key"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "727d5d8b-c537-41d2-a757-479813ecb733", "name": "Sticky Note19", "type": "n8n-nodes-base.stickyNote", "position": [920, 980], "parameters": {"color": 3, "width": 160, "height": 80, "content": "### Replace TwelveData API Key"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "580f36fb-2d85-4a74-825b-540f328b860f", "name": "Sticky Note13", "type": "n8n-nodes-base.stickyNote", "position": [2280, 60], "parameters": {"color": 3, "width": 160, "height": 80, "content": "### Replace SMTP Credentials"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "e40b611a-12c3-4975-b692-f338d0477c8b", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [220, -220], "parameters": {"color": 7, "width": 440, "height": 300, "content": "# Advance Stock Analysis (both Technical and Trends) Using GPT4o Powered AI Agent\n\n## Built by  [Elay Guez]({{ $env.WEBHOOK_URL }}"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "ab83de34-3083-4882-b329-c368d5818917", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [220, 100], "parameters": {"color": 7, "width": 440, "height": 1200, "content": "### Overview ###\n\nGet comprehensive stock analysis with this AI-powered workflow that provides actionable insights for your investment decisions. On a weekly basis, this workflow:\n\n- Analyzes stock data from multiple sources (Chart-img, Twelve Data API, Alphavantage)\n- Performs technical analysis using advanced indicators (RSI, MACD, Bollinger Bands, Resistance and\u00a0Support\u00a0Levels)\n- Scans financial news from Alpha Vantage to capture market sentiment\n- Uses OpenAI's GPT-4o to identify patterns, trends, and trading opportunities\n- Generates a fully styled, responsive HTML email (with proper RTL layout) in Hebrew\n- Sends detailed recommendations directly to your inbox\n\n**Perfect for investors, traders, and financial analysts who want data-driven stock insights - combining technical indicators with news sentiment for more informed decisions.**\n\n### Setup Instructions ###\n\n**Estimated setup time:**\n- 15 minutes\n\n**Required credentials:**\n- OpenAI API Key\n- Chart-img API Key (free tier)\n- Twelve Data API Key (free tier)\n- Alpha Vantage API Key (free tier)\n- SMTP credentials (for email delivery)\n\n**Steps:**\n\n1. Import this template into your n8n instance.\n2. Add your API keys under credentials.\n3. Configure the SMTP Email node with: Host (e.g., smtp.gmail.com), Port (465 or 587), Username (your email), Password (app-specific password or login).\n4. Activate the workflow.\n5. Fill in the Form.\n6. **Enjoy!** (Check your Spam mailbox)\n\n### Important Note: ###\nThis report is being generated automatically and does not constitute an investment recommendation. **Please consult a licensed investment advisor before making any investment decisions.**"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "28e1e96f-e27c-4933-afee-35931241060c", "name": "On form submission", "type": "n8n-nodes-base.formTrigger", "position": [720, -100], "webhookId": "79520027-d875-4ca3-a533-614bfca5e5b1", "parameters": {"options": {"appendAttribution": true, "respondWithOptions": {"values": {"formSubmittedText": "Success! Check your inbox (or spam folder) for your analysis report."}}}, "formTitle": "Advance Stock Analysis", "formFields": {"values": [{"fieldLabel": "Ticker symbol:", "placeholder": "TSLA", "requiredField": true}, {"fieldType": "email", "fieldLabel": "Email:", "placeholder": "youremail@gmail.com", "requiredField": true}]}, "responseMode": "lastNode", "formDescription": "Please enter the company\u2019s NASDAQ ticker symbol (e.g. AAPL) to get a weekly email with combined technical-and-news sentiment analysis from our AI agent"}, "typeVersion": 2.2, "notes": "This formTrigger node performs automated tasks as part of the workflow."}, {"id": "4d9939ec-4a8e-40cb-95d2-24bbdbc27c8e", "name": "Refine Text", "type": "n8n-nodes-base.noOp", "position": [1520, -100], "parameters": {"modelId": {"__rl": true, "mode": "list", "value": "gpt-4o", "cachedResultName": "GPT-4O"}, "options": {}, "messages": {"values": [{"content": "=\"technicalAnalysis\": {{ $json.output.technicalAnalysis }}"}, {"content": "=\"recommendationText\":  {{ $json.output.recommendationText }}"}, {"role": "system", "content": "Ensure that the text in the \"recommendationText\" \"technicalAnalysis\" values is written in proper Hebrew, like a professional analyst.\nReturn the same JSON format, but rewrite \"recommendationText\" \"technicalAnalysis\" values better.\n\u05e9\u05d9\u05dd \u05dc\u05d1 \u05e9\u05db\u05d5\u05ea\u05d1\u05d9\u05dd \"\u05e8\u05e6\u05d5\u05e2\u05d5\u05ea \u05d1\u05d5\u05dc\u05d9\u05e0\u05d2\u05e8\" \u05d5\u05dc\u05d0 \"\u05d7\u05d2\u05d5\u05e8\u05d5\u05ea \u05d1\u05d5\u05dc\u05d9\u05e0\u05d2\u05e8\""}]}, "jsonOutput": true}, "credentials": {"openAiApi": {"id": "2m1HH5crgPAhTJlv", "name": "OpenAi account"}}, "typeVersion": 1.8, "notes": "This openAi node performs automated tasks as part of the workflow."}], "pinData": {}, "connections": {"f4eeb758-ba3e-4fb2-882f-7422bdcdc30b": {"main": [[{"node": "error-handler-f4eeb758-ba3e-4fb2-882f-7422bdcdc30b", "type": "main", "index": 0}], [{"node": 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"type": "main", "index": 0}]]}, "884a7e3b-3e8f-4c69-8950-5b0f1dd25f29": {"main": [[{"node": "error-handler-884a7e3b-3e8f-4c69-8950-5b0f1dd25f29-9ef2738e", "type": "main", "index": 0}]]}, "4d9939ec-4a8e-40cb-95d2-24bbdbc27c8e": {"main": [[{"node": "error-handler-4d9939ec-4a8e-40cb-95d2-24bbdbc27c8e-eb96ce3e", "type": "main", "index": 0}]]}}, "name": "Memorybufferwindow Workflow", "settings": {"executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, "retryDelay": 1000}, "description": "Automated workflow: Memorybufferwindow Workflow. This workflow integrates 18 different services: stickyNote, httpRequest, formTrigger, code, scheduleTrigger. It contains 62 nodes and follows best practices for error handling and security.", "tags": ["automation", "n8n", "production-ready", "excellent", "optimized"], "notes": "Excellent quality workflow: Memorybufferwindow Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."}