AI 株式分析・スコアリングおよび Gmail レポート送信
上級
これはCrypto Trading, AI RAG分野の自動化ワークフローで、24個のノードを含みます。主にGmail, Markdown, Agent, HttpRequestTool, ToolThinkなどのノードを使用。 AI による株式分析システム（AI スコアリング機能と Gmail リポート送信機能付き）
前提条件
- •Googleアカウント + Gmail API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
- •PostgreSQLデータベース接続情報
- •Supabase URL と API Key
使用ノード (24)
カテゴリー
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"meta": {
"instanceId": "e7ccf4281d5afb175c79c02db95b45f15d5b53862cb6bc357c5e5bc26567f35c",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "ec0ab7b1-7f50-45d0-aeb8-147f525aa40c",
"name": "Think",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
1264,
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "631a10cf-d3d5-4f0d-9831-3b3775c76e38",
"name": "Supabase ベクトルストア1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
992,
464
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 5,
"options": {},
"tableName": {
"__rl": true,
"mode": "list",
"value": "danelfin",
"cachedResultName": "danelfin"
},
"useReranker": true,
"toolDescription": "Work with data in supabase to understand danelfin scoring and strategy",
"includeDocumentMetadata": false
},
"credentials": {
"supabaseApi": {
"id": "4TXwWjRCifw2A3yw",
"name": "Supabase tm"
}
},
"typeVersion": 1.3
},
{
"id": "0295201f-5b30-4bb4-bacd-f5ed57a76ab2",
"name": "OpenAI 埋め込み",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
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],
"parameters": {
"options": {
"dimensions": 1536
}
},
"credentials": {
"openAiApi": {
"id": "OQJASLp1qn1StvpI",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "21b0a10e-69cf-4ba7-b1b8-7581900f242e",
"name": "Reranker Cohere",
"type": "@n8n/n8n-nodes-langchain.rerankerCohere",
"position": [
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],
"parameters": {
"modelName": "rerank-english-v3.0"
},
"credentials": {
"cohereApi": {
"id": "PCdrjFiCsNkbtU2E",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "879e5393-01ac-4f28-bb89-d57164a49d2e",
"name": "Danelfin request",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
624,
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],
"parameters": {
"text": "=Manage it with the strategy Agent",
"options": {
"systemMessage": "=# You are an expert of making request to an api that retrieves you financial data, YOU ARE NOT A CHATBOT, YOUR ANSWERS HAVE ALWAYS TO BE CONCLUSIVE\n\n\n# Danelfin REST API Reference\n\n## Authentication\n- Header: `x-api-key: {API_KEY}`\n- Base URL: `https://apirest.danelfin.com`\n\n## Endpoints\n- `/ranking` - GET ticker scores/rankings\n- `/sectors` - GET sector list\n- `/sectors/{slug}` - GET sector history\n- `/industries` - GET industry list \n- `/industries/{slug}` - GET industry history\n\n## /ranking Parameters\n**Required:** At least one of `ticker` OR `date`\n\n- `date` - YYYY-MM-DD format\n- `ticker` - Symbol (e.g. AAPL)\n- `market` - Exchange filter (NYSE, NASDAQ)\n- `aiscore`, `fundamental`, `technical`, `sentiment`, `low_risk` - Exact score 1-10\n- `*_min` versions - Minimum thresholds 1-10\n- `buy_track_record`, `sell_track_record` - 1/0 boolean\n- `sector` - Sector slug\n- `industry` - Industry slug\n- `asset` - stock/etf\n- `fields` - Comma-separated field list\n\n## Response Formats\n- With ticker: `{date: {scores}}`\n- Without ticker: `{date: {ticker: {scores}}}`\n- Score filter: `{ticker: {scores}}`\n\n## Score Fields\n- `aiscore` - AI Score 1-10\n- `technical` - Technical Score 1-10\n- `fundamental` - Fundamental Score 1-10\n- `sentiment` - Sentiment Score 1-10\n- `low_risk` - Low-Risk Score 1-10\n- `buy_track_record` - Boolean\n- `sell_track_record` - Boolean\n\n## Processing Rules\n1. Parse user intent → extract date, ticker, filters\n2. Validate ticker OR date present (default to today if neither)\n3. Build query string\n4. Send GET request with API key header\n5. Handle errors: 400 = bad params, 403 = auth fail\n6. Convert string scores to integers\n7. Sort by aiscore descending unless specified\n8. Return formatted results\n\n## Query Examples\n- Ticker history: `?ticker=AAPL`\n- Top 100 today: `?date={{ new Date().toISOString().split('T')[0] }}`\n- Score filter: `?date={{ new Date().toISOString().split('T')[0] }}&aiscore=10`\n- Sector filter: `?date={{ new Date().toISOString().split('T')[0] }}§or=utilities&low_risk_min=5`\n\n## Error Codes\n- 200: Success\n- 400: Bad request - fix params\n- 403: Auth failed - abort\n\n## The http tool gives you acces to all 3 different endpoints\n\n## You must call the supabase RAG tool that gives you knowledge of Danelfin technology and strategy\n\n## Your current timestamp is {{ $now }}, by default always make queries from yesterday or the previous days where the market was opened. \n\n## If you have an error by consulting a stock scores, d'ont consult the one from the previous year, consult the one from the past day\n\n# Output: You always have to make a full deep report on the user query\n\n"
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "5111ce59-f32a-47d8-a16d-eff54cdc0d4a",
"name": "ranking",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
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],
"parameters": {
"url": "https://apirest.danelfin.com/ranking",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Name', ``, 'string') }}",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Value', ``, 'string') }}"
},
{
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters1_Name', ``, 'string') }}",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters1_Value', ``, 'string') }}"
},
{
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters2_Name', ``, 'string') }}",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters2_Value', ``, 'string') }}"
}
]
},
"toolDescription": "ranking endpoint"
},
"credentials": {
"httpHeaderAuth": {
"id": "WtAyYH2L9Z9enZqX",
"name": "danelfin"
}
},
"typeVersion": 4.2
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{
"id": "2b8207dd-aa9c-4032-a4d0-fc98bfa59370",
"name": "sectors",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
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],
"parameters": {
"url": "https://apirest.danelfin.com/sectors",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Name', ``, 'string') }}",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Value', ``, 'string') }}"
},
{
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters1_Name', ``, 'string') }}",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters1_Value', ``, 'string') }}"
},
{
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters2_Name', ``, 'string') }}",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters2_Value', ``, 'string') }}"
}
]
},
"toolDescription": "sectors endpoint"
},
"credentials": {
"httpHeaderAuth": {
"id": "WtAyYH2L9Z9enZqX",
"name": "danelfin"
}
},
"typeVersion": 4.2
},
{
"id": "baf0f5de-3629-4f26-8a2e-3195f4928c78",
"name": "industries",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
544,
464
],
"parameters": {
"url": "https://apirest.danelfin.com/industries",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Name', ``, 'string') }}",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Value', ``, 'string') }}"
},
{
"name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters1_Name', ``, 'string') }}",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters1_Value', ``, 'string') }}"
}
]
},
"toolDescription": "industries endpoint"
},
"credentials": {
"httpHeaderAuth": {
"id": "WtAyYH2L9Z9enZqX",
"name": "danelfin"
}
},
"typeVersion": 4.2
},
{
"id": "b3ff8d0f-1298-4dd9-ac16-e1221a43bd17",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
-48
],
"parameters": {
"color": 4,
"width": 1352,
"height": 792,
"content": "# Main Agent /danelfin scoring"
},
"typeVersion": 1
},
{
"id": "a15112eb-32ba-4d73-a2ee-8f1d388052d8",
"name": "Send report",
"type": "n8n-nodes-base.gmail",
"position": [
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144
],
"webhookId": "f6586c17-da23-454b-adad-6d02fc79ec4b",
"parameters": {
"sendTo": "paul@taskmorphr.com",
"message": "={{ $json.data }}",
"options": {
"appendAttribution": false
},
"subject": "Report"
},
"credentials": {
"gmailOAuth2": {
"id": "zDJ58xrpmivGPuAW",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "21e95e0c-2774-481b-a546-8313d841c848",
"name": "チャットメッセージ受信時",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
48,
144
],
"webhookId": "730fb36d-bd91-468d-8eab-9d028698b16c",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "99a81cec-74ff-4962-ab52-9f22b9d89713",
"name": "Postgres チャットメモリ1",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
192,
416
],
"parameters": {},
"credentials": {
"postgres": {
"id": "44lwBYXMr6Vx0Fmq",
"name": "Postgres account"
}
},
"typeVersion": 1.3
},
{
"id": "875650d8-6399-46d2-b1e3-a63ee762ad2b",
"name": "設定 a reasoning model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
80,
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],
"parameters": {
"model": "x-ai/grok-4",
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "1t22HwKbMlWsWxcJ",
"name": "OpenRouter account"
}
},
"typeVersion": 1
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{
"id": "9ef4549b-449c-41bd-8a3d-b79fe4b8cbd0",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
80
],
"parameters": {
"color": 5,
"width": 288,
"height": 208,
"content": "### Ask about any stock, industries, sectors, potential trade, etc"
},
"typeVersion": 1
},
{
"id": "b492be0c-f316-4c1f-af73-2cde40a7efcb",
"name": "Markdown to HTML",
"type": "n8n-nodes-base.markdown",
"position": [
1008,
144
],
"parameters": {
"mode": "markdownToHtml",
"options": {},
"markdown": "={{ $json.output }}"
},
"typeVersion": 1
},
{
"id": "862c2311-fd44-43cd-b288-460a3595ee8b",
"name": "Supabase ベクトルストア",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
496,
896
],
"parameters": {
"mode": "insert",
"options": {},
"tableName": {
"__rl": true,
"mode": "list",
"value": "danelfin",
"cachedResultName": "danelfin"
}
},
"credentials": {
"supabaseApi": {
"id": "4TXwWjRCifw2A3yw",
"name": "Supabase tm"
}
},
"typeVersion": 1.3
},
{
"id": "0d2987bc-01ec-4c6a-b263-48f4f495323a",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
640,
1120
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{}
]
}
},
"dataType": "binary",
"textSplittingMode": "custom"
},
"typeVersion": 1.1
},
{
"id": "f70e3c0a-e4e6-4c44-a24e-49e0f4fcd854",
"name": "再帰的文字テキストスプリッター",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
688,
1280
],
"parameters": {
"options": {
"splitCode": "markdown"
},
"chunkSize": 700
},
"typeVersion": 1
},
{
"id": "e3689a2b-5c64-473c-869a-45dae5997cb6",
"name": "OpenAI 埋め込み1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
368,
1136
],
"parameters": {
"options": {
"dimensions": 1536
}
},
"credentials": {
"openAiApi": {
"id": "OQJASLp1qn1StvpI",
"name": "OpenAi account"
}
},
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{
"id": "56b19f7f-8451-4c39-9349-737ce968bd4c",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
800
],
"parameters": {
"color": 7,
"width": 1136,
"height": 660,
"content": "## Load sata to vector database"
},
"typeVersion": 1
},
{
"id": "514b7f03-e91c-49a3-bc46-da2f4ab75a73",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
16,
896
],
"parameters": {
"width": 416,
"height": 272,
"content": "## Load a pdf with the following information\n\nhttps://docs.google.com/document/d/1wxnTMb4ZwBq1X25QXkvh49WhWz3-DYT2IdbEa8K6opw/edit?usp=sharing\n\nhttps://docs.google.com/document/d/1U6pkrK6sIXuQ9plLHum6puTVVEv-p6ZvP0NGqKlSS5s/edit?usp=sharing"
},
"typeVersion": 1
},
{
"id": "8bca3f8f-0309-446b-9e84-41855e0075f9",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-688,
-48
],
"parameters": {
"color": 6,
"width": 640,
"height": 2240,
"content": "# Workflow Description and Setup Guide\n\nThis workflow provides comprehensive AI-driven stock analysis, generating detailed deep reports by leveraging advanced vector-based data retrieval and API integrations for precise financial analytics using Danelfin scoring and strategy.\n\n---\n\n## Overview\n\nThis workflow automates stock analysis utilizing:\n\n* **AI-driven scoring and sector insights** (Danelfin configuration)\n* **Vector-based data retrieval** (Supabase)\n* **Deep analytical reports**\n\n---\n\n## Key Components and API Integrations\n\n### 1. Danelfin AI Stock Analysis API\n\nProvides advanced stock scores, rankings, and sector insights.\n\n* **Endpoints:**\n\n * `/ranking`: Stock rankings and scores\n * `/sectors`: Sector information\n * `/industries`: Industry details\n\n### 2. Supabase Vector Store\n\nVector embedding storage and quick data retrieval.\n\n---\n\n## Workflow Steps\n\n### Initialization\n\n1. **Chat Trigger**: Activates when a message requesting stock analysis is received.\n\n### Stock Analysis and Deep Reporting\n\n2. **Main AI Agent**: Processes the query, retrieves relevant data from Danelfin, and generates deep analytical reports.\n\n3. **Supabase Vector Store**: Facilitates efficient data retrieval using embeddings.\n\n### Reporting\n\n4. **Markdown Conversion**: Transforms analysis into a readable HTML format.\n\n5. **Email Reporting**: Sends detailed reports via Gmail.\n\n---\n\n## Setup Instructions\n\n### Prerequisites\n\n* Obtain API Keys for Supabase and Danelfin.\n\n### Configuration Steps\n\n1. **Set API Keys**:\n\n * Supabase API credentials for vector storage.\n * Danelfin API credentials for stock analysis.\n\n2. **Gmail API Credentials**:\n\n * Configure Gmail node for sending reports.\n\n### Running the Workflow\n\n* Triggered automatically by chat messages requesting analysis.\n* Reports sent directly via email.\n\n---\n\nThis setup ensures precise, AI-driven stock analysis delivered clearly through automated deep reporting.\n"
},
"typeVersion": 1
},
{
"id": "5cd42ade-bb36-49d9-b2c1-29cf96b581d8",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1456,
16
],
"parameters": {
"color": 3,
"width": 576,
"height": 560,
"content": "## Need a tailor-made workflow? Tell me about your business and get a free proposal:\n\n**[Start here → Custom Automation Form](https://taskmorphr.com/contact)**\n\n---\n## 📈 Cost-Savings Snapshot \nCurious what automation could save you? \nRun the 60-second calculator:\n\n**[ROI / Cost Comparison](https://taskmorphr.com/cost-comparison)**\n\n---\n### ✉️ Reach me directly \n`paul@taskmorphr.com`"
},
"typeVersion": 1
},
{
"id": "2405dbd4-f266-466f-aab3-8bff9f72871f",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1712,
416
],
"parameters": {
"color": 3,
"width": 224,
"height": 128,
"content": "### 🛠️ Build it yourself \nBrowse every ready-made workflow: \n[Full Template Pack — coming soon](https://n8n.io/creators/diagopl/)\n"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
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"21b0a10e-69cf-4ba7-b1b8-7581900f242e": {
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{
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"type": "ai_reranker",
"index": 0
}
]
]
},
"879e5393-01ac-4f28-bb89-d57164a49d2e": {
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},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
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"type": "ai_embedding",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
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]
},
"0d2987bc-01ec-4c6a-b263-48f4f495323a": {
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"Postgres Chat Memory1": {
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"When chat message received": {
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"Recursive Character Text Splitter": {
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{
"node": "0d2987bc-01ec-4c6a-b263-48f4f495323a",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}よくある質問
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上級 - 仮想通貨取引, AI RAG検索拡張
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このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
上級
ノード数24
カテゴリー2
ノードタイプ14
作成者
Paul
@diagoplAutomation expert & n8n power user. I build advanced workflows combining AI, outbound, and business logic. Grab my templates or reach out for custom builds.
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