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

Workflow preview

Automate client onboarding with Asana, Google Docs, Gmail, Slack and Sheets preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

Overview

πŸ“Š Description

Automate short-term trading research by generating high-quality trade ideas using MCP (Market Context Protocol) signals and AI-powered analysis. πŸ“ˆπŸ€– 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 consistentlyβ€”without manual screening or emotional bias. Perfect for systematic traders, research teams, and AI-driven trading desks. βš‘πŸ“Š

πŸ” What This Template Does

1️⃣ Ingests market context and asset data from MCP inputs. πŸ“₯ 2️⃣ Normalizes symbols, sectors, and time horizons for analysis. 🧾 3️⃣ Evaluates short-term momentum and catalyst strength. πŸš€ 4️⃣ Analyzes risk, volatility, and downside exposure. ⚠️ 5️⃣ Uses AI to generate a structured trade thesis. πŸ€– 6️⃣ Assigns a confidence score and risk level to each idea. πŸ“Š 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. πŸ”

⭐ Key Benefits

βœ… Automates short-term trade idea generation βœ… Reduces emotional bias with AI-based scoring βœ… Combines market context, catalysts, and momentum βœ… Produces structured, repeatable trade logic βœ… Saves hours of manual chart and news analysis βœ… 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

πŸ” 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