자동화된 일일 주식 시장 보고서

• •Airtable API Key
• •Google 계정 및 Gmail API 인증 정보
• •대상 API의 인증 정보가 필요할 수 있음
• •OpenAI API Key

{
  "id": "dnw1cvGPaYS9dCog",
  "meta": {
    "instanceId": "18b0d04ad5030054be4ab49562e84ea4a079ab4cb036003697394140227c7e76",
    "templateId": "5305",
    "templateCredsSetupCompleted": true
  },
  "name": "Automated Daily Stock Market Report with Bright Data, GPT, Airtable, and Gmail",
  "tags": [],
  "nodes": [
    {
      "id": "0a0def72-9c6f-43fb-8db5-268da98f82dd",
      "name": "심플 메모리",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        3904,
        656
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "e13cbed2-0837-4b4b-82b4-49c61510dff5",
      "name": "OpenAI 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        3760,
        656
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "eDzFw4LYXVKJQcfH",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "cf744498-62bf-4e6a-8570-dda7fea35fe5",
      "name": "Daily Run Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        208,
        576
      ],
      "parameters": {
        "rule": {
          "interval": [
            {}
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "d0ee4823-0536-415e-8fa9-861c1701665d",
      "name": "설정 Stock List",
      "type": "n8n-nodes-base.set",
      "position": [
        528,
        576
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "8d1bd0c8-37bf-4028-a20c-ac214ec06d7b",
              "name": "json",
              "type": "array",
              "value": "=[\n  {\n    \"ticker\": \"SHEL\",\n    \"name\": \"Shell plc\",\n    \"market_cap\": \"≈ $250B\"\n  },\n  {\n    \"ticker\": \"NESN.SW\",\n    \"name\": \"Nestlé S.A.\",\n    \"market_cap\": \"≈ $320B\"\n  },\n  {\n    \"ticker\": \"SAP\",\n    \"name\": \"SAP SE\",\n    \"market_cap\": \"≈ $210B\"\n  },\n  {\n    \"ticker\": \"ASML\",\n    \"name\": \"ASML Holding N.V.\",\n    \"market_cap\": \"≈ $470B\"\n  },\n  {\n    \"ticker\": \"SONY\",\n    \"name\": \"Sony Group Corporation\",\n    \"market_cap\": \"≈ $110B\"\n  },\n  {\n    \"ticker\": \"TCEHY\",\n    \"name\": \"Tencent Holdings Ltd.\",\n    \"market_cap\": \"≈ $420B\"\n  },\n  {\n    \"ticker\": \"BABA\",\n    \"name\": \"Alibaba Group Holding Ltd.\",\n    \"market_cap\": \"≈ $190B\"\n  },\n  {\n    \"ticker\": \"7203.T\",\n    \"name\": \"Toyota Motor Corporation\",\n    \"market_cap\": \"≈ $270B\"\n  },\n  {\n    \"ticker\": \"RHHBY\",\n    \"name\": \"Roche Holding AG\",\n    \"market_cap\": \"≈ $210B\"\n  },\n  {\n    \"ticker\": \"NFLX\",\n    \"name\": \"Netflix Inc.\",\n    \"market_cap\": \"≈ $260B\"\n  }\n]\n"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "88b7e912-af0c-4527-baa3-4f8cf0b072d1",
      "name": "Split Stocks",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        816,
        576
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "json"
      },
      "typeVersion": 1
    },
    {
      "id": "2aab292f-0287-4da6-86ee-83c5a9aee30a",
      "name": "Prepare Stock Keyword",
      "type": "n8n-nodes-base.set",
      "position": [
        1104,
        576
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "8d9e80d9-16dd-4658-928f-d94735209bfd",
              "name": "keyword",
              "type": "string",
              "value": "={{ $json.ticker }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "13f81727-f586-4fb6-be73-4880c9efd165",
      "name": "Bright Data Scraper",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1456,
        576
      ],
      "parameters": {
        "url": "https://api.brightdata.com/datasets/v3/trigger",
        "method": "POST",
        "options": {},
        "jsonBody": "={{ $('Prepare Stock Keyword').all().map(item => item.json)}}",
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "queryParameters": {
          "parameters": [
            {
              "name": "dataset_id",
              "value": "gd_lmrpz3vxmz972ghd7"
            },
            {
              "name": "include_errors",
              "value": "true"
            },
            {
              "name": "type",
              "value": "discover_new"
            },
            {
              "name": "discover_by",
              "value": "keyword"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "=Bearer YOUR_BRIGHTDATA_API_KEY"
            }
          ]
        }
      },
      "executeOnce": true,
      "typeVersion": 4.2
    },
    {
      "id": "2cc8d35f-f255-4adc-b1d7-7f9ab34dde66",
      "name": "Check Scraper Progress",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1936,
        576
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
        "options": {},
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer YOUR_BRIGHTDATA_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "eb6ab86c-3e8b-4dc6-8d70-3346531905fa",
      "name": "Scraper Status 스위치",
      "type": "n8n-nodes-base.switch",
      "position": [
        2368,
        576
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "outputKey": "ready",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "4712e222-2bad-4d91-be87-ab0e0693c0c6",
                    "operator": {
                      "name": "filter.operator.equals",
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.status }}",
                    "rightValue": "ready"
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "running",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "9a473960-6ba5-4f1b-afc6-396348bd338d",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.status }}",
                    "rightValue": "=running"
                  }
                ]
              },
              "renameOutput": true
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "e27afbc7-8cae-44b6-b506-474bb2692f08",
      "name": "대기 for Data",
      "type": "n8n-nodes-base.wait",
      "position": [
        2480,
        1088
      ],
      "webhookId": "cf27222d-20db-4ba5-bd4c-e6ca05efd4d7",
      "parameters": {
        "amount": 20
      },
      "typeVersion": 1.1
    },
    {
      "id": "5e828381-8268-4114-b16c-a60c4ca23e80",
      "name": "Fetch Scraper Results",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2848,
        560
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}",
        "options": {},
        "sendQuery": true,
        "sendHeaders": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "format",
              "value": "json"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer YOUR_BRIGHTDATA_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "4c2826ee-30bb-4438-a531-c370edbe2103",
      "name": "집계 Stock Data",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        3312,
        560
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1
    },
    {
      "id": "ef5165a4-0452-4b20-b2fa-994429f3bc5b",
      "name": "Generate Daily Summary (AI)",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        3792,
        416
      ],
      "parameters": {
        "text": "=## 🎯 ROLE\nYou are an **AI-powered financial analyst agent** integrated inside an n8n workflow.  \nYour responsibilities are to:  \n- Parse incoming JSON datasets of U.S. equities (typically top 10 by market cap).  \n- Detect **market trends, anomalies, and investor-relevant signals** from the data.  \n- Convert raw JSON into a **professionally written HTML email digest**, with clear structure, styling, and actionable insights.  \n- Act as if you were a **senior analyst writing for institutional investors**, keeping the tone sharp, concise, and technical.  \n- Output only **clean HTML content** ready for use inside an email body (no markdown, no plaintext, no metadata).  \n\n---\n\n## 📥 INPUT FORMAT (JSON)\n\nYou will receive daily input structured like this:\n\n```\nThe day and date today is {{ $now.format('cccc yyyy-MM-dd t') }}\n\nHere is today’s stock market data: =\n\n{{ $json.data.toJsonString() }}\n```\n\nWhere each stock object may contain:  \n- `ticker` → Stock symbol (e.g., AAPL, NVDA)  \n- `name` → Company name (e.g., Apple Inc.)  \n- `market_cap` → Market capitalization  \n- `price` → Current price or last close price  \n- `change` → Daily percentage change (can be positive or negative)  \n- `sentiment` → Qualitative sentiment (optional: 🟢 Positive, 🟡 Neutral, 🔴 Negative)  \n- `news` → Associated news snippets (optional)  \n\n---\n\n## ✅ TASKS\n\n1. **Market Context**  \n   - Start with a headline summary of the day (general trend: bullish, bearish, or mixed).  \n   - Mention notable **macro events** or **sector-specific highlights** if derivable from input.  \n\n2. **Top Movers**  \n   - Identify and highlight the **2 biggest gainers** and **2 biggest losers**.  \n   - Give context if available (based on percentage change or attached news).  \n\n3. **Stock Data Table**  \n   - Generate a professional `<table>` with the following columns:  \n     - Ticker  \n     - Company Name  \n     - Daily % Change (with ↑/↓ and colored formatting)  \n     - Market Cap  \n     - Sentiment Icon (🟢 🟡 🔴)  \n\n4. **Insights Section**  \n   - Provide **3–5 key takeaways**:  \n     - Example: “Tech continues outperforming with NVDA +X% and AAPL +Y%”  \n     - Highlight any **sector rotation, unusual volatility, or outlier performance**.  \n     - Mention if the **trend diverges** from broader market sentiment.  \n\n5. **Upcoming Catalysts**  \n   - If `news` mentions future events (earnings calls, product launches, Fed meetings), list them in a dedicated section.  \n   - If no events are available, skip gracefully.  \n\n6. **Professional Formatting**  \n   - Use inline CSS to ensure email compatibility.  \n   - Use clear hierarchy:  \n     - `<h2>` for main title (“Daily U.S. Stock Market Digest – {Date}”)  \n     - `<h3>` for sub-sections (e.g., “Top Gainers & Losers”, “Market Insights”, “Upcoming Events”)  \n     - `<ul>` for bullet point insights  \n     - `<table>` for stock performance data  \n   - Add color indicators for sentiment:  \n     - 🟢 Positive = green text  \n     - 🟡 Neutral = gold text  \n     - 🔴 Negative = red text  \n\n---\n\n## ✨ OUTPUT FORMAT (HTML Only)\n\n- Produce **only** HTML, no markdown.  \n- Must be **email-client safe**:  \n  - Inline styles only (no external CSS).  \n  - Avoid JavaScript or advanced CSS.  \n- Structure example:  \n\n```html\n<h2>Daily U.S. Stock Market Digest – Thursday 2025-09-18</h2>\n\n<h3>📈 Top Gainers & Losers</h3>\n<ul>\n  <li>NVDA +4.2% 🟢 — driven by strong chip demand</li>\n  <li>TSLA -3.1% 🔴 — impacted by regulatory concerns</li>\n</ul>\n\n<h3>📊 Market Overview</h3>\n<table style=\"border-collapse:collapse;width:100%;\">\n  <tr style=\"background:#f2f2f2;\">\n    <th>Ticker</th><th>Company</th><th>Change %</th><th>Market Cap</th><th>Sentiment</th>\n  </tr>\n  <tr>\n    <td>NVDA</td><td>NVIDIA Corporation</td><td style=\"color:green;\">+4.2%</td><td>$3.6T</td><td>🟢</td>\n  </tr>\n  <tr>\n    <td>TSLA</td><td>Tesla Inc.</td><td style=\"color:red;\">-3.1%</td><td>$830B</td><td>🔴</td>\n  </tr>\n</table>\n\n<h3>💡 Key Insights</h3>\n<ul>\n  <li>Tech leads with NVDA and MSFT posting strong gains.</li>\n  <li>Healthcare sector showed weakness with JNJ down 2%.</li>\n  <li>Overall sentiment remained mixed ahead of Fed decision.</li>\n</ul>\n\n<h3>📅 Upcoming Events</h3>\n<ul>\n  <li>Fed interest rate decision — Sept 20</li>\n  <li>Apple iPhone launch event — Sept 21</li>\n</ul>\n\n<footer style=\"margin-top:20px;font-size:12px;color:#888;\">\n  Generated automatically by your AI-powered stock monitor.\n</footer>\n```\n\n---\n\n## ⚠️ CONSTRAINTS\n\n- Do **not** include email subject or headers.  \n- Do **not** output explanations, reasoning, or markdown.  \n- Always output **clean HTML only**.  \n- Ensure the HTML is **ready-to-send** in an email body without manual edits.  \n- If data is missing, skip the section gracefully without placeholders.  \n\n---\n\n## 📬 GOAL\n\nDeliver a **polished, mobile-friendly, and insight-rich stock market digest email**.  \nFinal output must require zero manual edits, look professional for finance users, and be directly usable in n8n’s Gmail/SMTP nodes.  \n",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "3f953ffd-4faa-4cd5-bd3a-b3a6d021eebf",
      "name": "Send Report via Gmail",
      "type": "n8n-nodes-base.gmailTool",
      "position": [
        4064,
        624
      ],
      "webhookId": "fe4a416a-43f3-4ad1-80c8-51f1de4c2343",
      "parameters": {
        "sendTo": "Baptiste.fort.pro@gmail.com",
        "message": "={{ $('Generate Daily Summary (AI)').first().json.output }}",
        "options": {
          "appendAttribution": false
        },
        "subject": "=Daily Stock Market Digest "
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "RpkU3PW6jAmCX8ih",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "ae4e0ac6-1afb-463a-a273-7dac2dc975e3",
      "name": "Save to Airtable (Daily Stocks)",
      "type": "n8n-nodes-base.airtable",
      "position": [
        2944,
        -288
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appqPdjbR45flhdgT",
          "cachedResultUrl": "https://airtable.com/appqPdjbR45flhdgT",
          "cachedResultName": "Untitled Base"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblvIkbZriGaCrfzP",
          "cachedResultUrl": "https://airtable.com/appqPdjbR45flhdgT/tblvIkbZriGaCrfzP",
          "cachedResultName": "Daily Stocks"
        },
        "columns": {
          "value": {
            "Price": "={{ $json.price }}",
            "Ticker": "={{ $json.ticker }}",
            "Company": "={{ $json.name }}",
            "Change %": "={{ $json.change }}",
            "Sentiment": "={{ $json.sentiment }}",
            "Market Cap": "={{ $json.market_cap }}"
          },
          "schema": [
            {
              "id": "Ticker",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Ticker",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Company",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Company",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Market Cap",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Market Cap",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Price",
              "type": "number",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Price",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Change %",
              "type": "number",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Change %",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Sentiment",
              "type": "options",
              "display": true,
              "options": [
                {
                  "name": "🟢 Positive",
                  "value": "🟢 Positive"
                },
                {
                  "name": "🟡 Neutral",
                  "value": "🟡 Neutral"
                },
                {
                  "name": "🔴 Negative",
                  "value": "🔴 Negative"
                }
              ],
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Sentiment",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Date",
              "type": "dateTime",
              "display": true,
              "removed": true,
              "readOnly": false,
              "required": false,
              "displayName": "Date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "create"
      },
      "credentials": {
        "airtableTokenApi": {
          "id": "vKZ5Wl43rmNFe0My",
          "name": "Airtable Personal Access Token account 3"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "ae35f4c3-6d12-440e-9cf5-c465a7c7d3ee",
      "name": "메모",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        144,
        160
      ],
      "parameters": {
        "color": 7,
        "width": 288,
        "height": 592,
        "content": "## ⏰ Daily Run Trigger (Schedule Trigger)\n\n### Purpose\nStarts the workflow automatically at fixed intervals.  \nThis ensures the stock digest runs daily without manual input.\n\n### Parameters\n- **Trigger Type**: `Time Interval` or `Cron`\n- **Every X**: `1 Day` (or custom interval)\n- **Timezone**: `UTC` or your local timezone\n- **Start Time**: optional (e.g., `09:00`)"
      },
      "typeVersion": 1
    },
    {
      "id": "faa08484-c83e-49dd-bc8a-c29a0c9a95ce",
      "name": "메모1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        432,
        96
      ],
      "parameters": {
        "color": 6,
        "width": 288,
        "height": 656,
        "content": "## 📝 Set Stock List (Set Node – SAMPLE DATA)\n\n### Purpose\nDefines the list of stocks to track.  \nThis acts as the **seed data** for the scraping step.\n\n### Parameters\n- **Values to Set**: `Fixed JSON`\n- **Keep Only Set**: `true`\n- **JSON Example**:\n  ```json\n  [\n    { \"ticker\": \"AAPL\", \"name\": \"Apple Inc.\", \"market_cap\": \"≈ $3.0T\" },\n    { \"ticker\": \"MSFT\", \"name\": \"Microsoft Corporation\", \"market_cap\": \"≈ $3.6T\" }\n  ]"
      },
      "typeVersion": 1
    },
    {
      "id": "57ff48b7-fb7a-4c8e-b122-ff8878a46a97",
      "name": "메모2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        720,
        208
      ],
      "parameters": {
        "color": 4,
        "width": 288,
        "height": 544,
        "content": "## 🔀 Split Stocks (Split Out)\n\n### Purpose\nTakes the stock list (array) and splits it into **individual items**,  \nso each stock can be processed separately in the workflow.\n\n### Parameters\n- **Operation**: `Split Out Items`\n- **Field to Split**: `stocks[]` (array field from Set node)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "04a19b0a-1d0f-4fc3-9b5a-a1dbe39daf8e",
      "name": "메모3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1008,
        160
      ],
      "parameters": {
        "color": 6,
        "width": 288,
        "height": 592,
        "content": "## 🏷 Prepare Stock Keyword (Set Node)\n\n### Purpose\nAdds a `keyword` field for each stock item.  \nThis keyword is used by Bright Data’s scraper to identify which stock to fetch.\n\n### Parameters\n- **Values to Set**: `Add Field`\n- **Field Name**: `keyword`\n- **Value**: `{{ $json[\"ticker\"] }}`"
      },
      "typeVersion": 1
    },
    {
      "id": "a24344d1-ef9c-4333-83b8-b8e1055667ed",
      "name": "메모4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1296,
        160
      ],
      "parameters": {
        "color": 2,
        "width": 480,
        "height": 592,
        "content": "## 🕸 Bright Data Scraper (HTTP Request)\n\n### Purpose\nSends a request to **Bright Data API** to launch a stock scraping job.  \nIt returns a `snapshot_id` used later to fetch results.\n\n### Parameters\n- **Method**: `POST`\n- **Endpoint**: `https://api.brightdata.com/datasets/v1/trigger`\n- **Authentication**: `API Token`  \n  (Header: `Authorization: Bearer <token>`)\n- **Body Fields**:\n  - `dataset_id`: Bright Data dataset ID\n  - `discover_by`: `keyword`\n  - `keyword`: stock ticker\n"
      },
      "typeVersion": 1
    },
    {
      "id": "608e6709-2b53-4b85-8a6f-04339d4f7029",
      "name": "메모5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1776,
        160
      ],
      "parameters": {
        "color": 4,
        "width": 432,
        "height": 592,
        "content": "## 🔄 Check Scraper Progress (HTTP Request)\n\n### Purpose\nChecks if the Bright Data scraping job is finished or still running.  \nLoops until results are ready.\n\n### Parameters\n- **Method**: `GET`\n- **Endpoint**: `https://api.brightdata.com/datasets/v1/snapshots/{snapshot_id}`\n- **Authentication**: `API Token`\n- **Query Params**:\n  - `snapshot_id`: returned from Bright Data Scraper\n  - `status`: current job status (`running`, `ready`)"
      },
      "typeVersion": 1
    },
    {
      "id": "8e82b0a8-1682-4b7f-b12d-a5569ac1e70a",
      "name": "메모6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2208,
        752
      ],
      "parameters": {
        "color": 6,
        "width": 432,
        "height": 512,
        "content": "## ⏳ Wait for Data (Wait Node)\n\n### Purpose\nPauses the workflow for a fixed time before checking the scraper progress again.  \nThis prevents API rate limits and ensures Bright Data has time to finish the job.\n\n### Parameters\n- **Mode**: `Wait a fixed amount of time`\n- **Time**: e.g., `30 seconds`"
      },
      "typeVersion": 1
    },
    {
      "id": "6350cebc-4794-49df-a637-a982ab96a7fe",
      "name": "메모7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2208,
        160
      ],
      "parameters": {
        "color": 7,
        "width": 432,
        "height": 592,
        "content": "## 🔀 Scraper Status Switch (Switch Node)\n\n### Purpose\nRoutes the workflow based on the scraper job status.  \nIf the status is `running`, it loops back to **Wait for Data**.  \nIf the status is `ready`, it continues to fetch the snapshot.\n\n### Parameters\n- **Value to Check**: `status`\n- **Rules**:\n  - Equals `running` → go to Wait\n  - Equals `ready` → go to Fetch Scraper Results\n"
      },
      "typeVersion": 1
    },
    {
      "id": "93becc4b-e2ea-42e8-8eca-9e9e0f79d0c8",
      "name": "메모8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2640,
        160
      ],
      "parameters": {
        "width": 512,
        "height": 608,
        "content": "## 📥 Fetch Scraper Results (HTTP Request)\n\n### Purpose\nRetrieves the completed stock market data from Bright Data once the job is finished.  \nThe results are returned as JSON and include price, change %, sentiment, and more.\n\n### Parameters\n- **Method**: `GET`\n- **Endpoint**: `https://api.brightdata.com/datasets/v1/snapshots/{snapshot_id}/data`\n- **Authentication**: `API Token`\n- **Query Params**:\n  - `snapshot_id`: ID from Bright Data Scraper\n  - `format`: `json`"
      },
      "typeVersion": 1
    },
    {
      "id": "867cf6ea-2a5f-45fa-98a7-68d194df1dfc",
      "name": "메모9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3152,
        112
      ],
      "parameters": {
        "color": 3,
        "width": 512,
        "height": 656,
        "content": "## 📊 Aggregate Stock Data (Aggregate Node)\n\n### Purpose\nMerges the stock data from multiple items (each ticker) into one consolidated dataset.  \nThis is used as input for the AI to generate a summary.\n\n### Parameters\n- **Mode**: `Aggregate`\n- **Fields to Include**:  \n  - `ticker`  \n  - `name`  \n  - `price`  \n  - `change`  \n  - `sentiment`  \n- **Output**: Single JSON object with all stock records\n"
      },
      "typeVersion": 1
    },
    {
      "id": "8e741c22-987f-4f7a-9e2b-d1d2158ec074",
      "name": "메모10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3664,
        -240
      ],
      "parameters": {
        "color": 6,
        "width": 880,
        "height": 1008,
        "content": "## 🤖 Generate Daily Summary (AI Node – OpenAI/Gemini)\n\n### Purpose\nUses an AI model to analyze the aggregated stock data.  \nGenerates an HTML-formatted email with trends, top movers, insights, and upcoming events.\n\n### Parameters\n- **Model**: `gemini-2.0-flash-lite` (or `gpt-4.1` if using OpenAI)\n- **Input**: JSON data from Aggregate node\n- **Prompt**:  \n  - Analyze market trends  \n  - Identify top gainers/losers  \n  - Generate stock performance table  \n  - Add 3–5 insights  \n  - Format everything as **HTML email body**\n\n## 📧 Send Report via Gmail (Gmail Node)\n\n### Purpose\nDelivers the generated HTML stock market digest directly to the recipient’s inbox.  \nThis is the final step that sends the daily summary email.\n\n### Parameters\n- **Operation**: `Send Email`\n- **Send To**: recipient email (e.g., `investor@domain.com`)\n- **Subject**:   \n"
      },
      "typeVersion": 1
    },
    {
      "id": "e03b89d9-d530-4c7f-8b9e-b85a39a1fa11",
      "name": "메모11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2784,
        -752
      ],
      "parameters": {
        "color": 6,
        "width": 512,
        "height": 656,
        "content": "## 🗂 Save to Airtable (Airtable – Create Record)\n\n### Purpose\nStores each day’s stock data in Airtable for historical tracking.  \nActs as a database of all reports.\n\n### Parameters\n- **Operation**: `Create Record`\n- **Base ID**: `appXXXXXX` (from Airtable URL)\n- **Table**: `Daily Stocks`\n- **Field Mapping**:\n  - `Ticker` → `{{ $json.ticker }}`\n  - `Company` → `{{ $json.name }}`\n  - `Price` → `{{ $json.price }}`\n  - `Change %` → `{{ $json.change }}`\n  - `Sentiment` → `{{ $json.sentiment }}`\n  - `Date` → `{{ $now.toISO() }}`\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "ccdfd109-9fd2-40e4-981e-f85eef7cfba6",
  "connections": {
    "88b7e912-af0c-4527-baa3-4f8cf0b072d1": {
      "main": [
        [
          {
            "node": "2aab292f-0287-4da6-86ee-83c5a9aee30a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "ef5165a4-0452-4b20-b2fa-994429f3bc5b",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Wait for Data": {
      "main": [
        [
          {
            "node": "2cc8d35f-f255-4adc-b1d7-7f9ab34dde66",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set Stock List": {
      "main": [
        [
          {
            "node": "88b7e912-af0c-4527-baa3-4f8cf0b072d1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "cf744498-62bf-4e6a-8570-dda7fea35fe5": {
      "main": [
        [
          {
            "node": "Set Stock List",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "ef5165a4-0452-4b20-b2fa-994429f3bc5b",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "13f81727-f586-4fb6-be73-4880c9efd165": {
      "main": [
        [
          {
            "node": "2cc8d35f-f255-4adc-b1d7-7f9ab34dde66",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate Stock Data": {
      "main": [
        [
          {
            "node": "ef5165a4-0452-4b20-b2fa-994429f3bc5b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "5e828381-8268-4114-b16c-a60c4ca23e80": {
      "main": [
        [
          {
            "node": "Aggregate Stock Data",
            "type": "main",
            "index": 0
          },
          {
            "node": "ae4e0ac6-1afb-463a-a273-7dac2dc975e3",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2aab292f-0287-4da6-86ee-83c5a9aee30a": {
      "main": [
        [
          {
            "node": "13f81727-f586-4fb6-be73-4880c9efd165",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Scraper Status Switch": {
      "main": [
        [
          {
            "node": "5e828381-8268-4114-b16c-a60c4ca23e80",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Wait for Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3f953ffd-4faa-4cd5-bd3a-b3a6d021eebf": {
      "ai_tool": [
        [
          {
            "node": "ef5165a4-0452-4b20-b2fa-994429f3bc5b",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "2cc8d35f-f255-4adc-b1d7-7f9ab34dde66": {
      "main": [
        [
          {
            "node": "Scraper Status Switch",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ef5165a4-0452-4b20-b2fa-994429f3bc5b": {
      "main": [
        []
      ]
    }
  }
}