Analyse et notation de actions par IA avec envoi de rapports via Gmail

• •Compte Google et informations d'identification Gmail API
• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Clé API OpenAI
• •Informations de connexion à la base de données PostgreSQL
• •URL et Clé API Supabase

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  "nodes": [
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      "id": "631a10cf-d3d5-4f0d-9831-3b3775c76e38",
      "name": "Supabase Vector Store1",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "position": [
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      "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
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        "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] }}&sector=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"
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        "url": "https://apirest.danelfin.com/ranking",
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        "sendQuery": true,
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          "parameters": [
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              "name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Name', ``, 'string') }}",
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        "content": "# Main Agent /danelfin scoring"
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      "parameters": {
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        "width": 288,
        "height": 208,
        "content": "### Ask about any stock, industries, sectors, potential trade, etc"
      },
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        "markdown": "={{ $json.output }}"
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      "parameters": {
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        "options": {},
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          "__rl": true,
          "mode": "list",
          "value": "danelfin",
          "cachedResultName": "danelfin"
        }
      },
      "credentials": {
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          "name": "Supabase tm"
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      "name": "Chargeur de données par défaut",
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        "openAiApi": {
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          "name": "OpenAi account"
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      "position": [
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        "content": "## Load sata to vector database"
      },
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        "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"
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        "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"
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      "position": [
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      "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`"
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    {
      "id": "2405dbd4-f266-466f-aab3-8bff9f72871f",
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      "position": [
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        "height": 128,
        "content": "### 🛠️ Build it yourself  \nBrowse every ready-made workflow:  \n[Full Template Pack — coming soon](https://n8n.io/creators/diagopl/)\n"
      },
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