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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