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

📊 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