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URL: https://n8n.io/workflows/12478-automate-client-onboarding-with-asana-google-docs-gmail-slack-and-sheets/

⇱ Automate client onboarding with Asana, Google Docs, Gmail, Slack and Sheets | n8n workflow template

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Automate client onboarding with Asana, Google Docs, Gmail, Slack and Sheets

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Last update 4 months ago

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📊 Description

Automate short-term trading research by generating high-quality trade ideas using MCP (Market Context Protocol) signals and AI-powered analysis. 📈🤖 This workflow evaluates market context, catalysts, momentum, and risk factors to produce structured trade ideas with clear reasoning, confidence scores, and execution notes. Designed for fast-moving markets, it helps traders and analysts spot actionable opportunities consistently—without manual screening or emotional bias. Perfect for systematic traders, research teams, and AI-driven trading desks. ⚡📊

🔁 What This Template Does

1️⃣ Ingests market context and asset data from MCP inputs. 📥
2️⃣ Normalizes symbols, sectors, and time horizons for analysis. 🧾
3️⃣ Evaluates short-term momentum and catalyst strength. 🚀
4️⃣ Analyzes risk, volatility, and downside exposure. ⚠️
5️⃣ Uses AI to generate a structured trade thesis. 🤖
6️⃣ Assigns a confidence score and risk level to each idea. 📊
7️⃣ Produces clear entry logic, rationale, and trade direction. 🧠
8️⃣ Filters out low-quality or low-conviction setups. 🚫
9️⃣ Outputs clean JSON-ready trade ideas for downstream systems. 🔁

⭐ Key Benefits

✅ Automates short-term trade idea generation
✅ Reduces emotional bias with AI-based scoring
✅ Combines market context, catalysts, and momentum
✅ Produces structured, repeatable trade logic
✅ Saves hours of manual chart and news analysis
✅ Ideal for fast-paced trading environments

🧩 Features

  • MCP (Market Context Protocol) data ingestion
  • AI-powered trade thesis generation
  • Confidence and risk scoring logic
  • Short-term momentum and catalyst analysis
  • Strict structured output for automation reliability
  • Easy integration into dashboards or execution systems

🔐 Requirements

  • MCP-compatible market data source
  • OpenAI API credentials (GPT-4o or GPT-4o-mini recommended)
  • n8n instance with AI nodes enabled
  • Defined schema for trade idea output

🎯 Target Audience

  • Short-term and swing traders
  • Quant and discretionary trading teams
  • Market research analysts
  • Fintech platforms generating trade signals
  • Automation engineers building trading workflows