Automated AI Agent for Real-Time Gold Price Monitoring & Trading Signals Using n8n and Bright Data

This is a submission for the AI Agents Challenge powered by n8n and Bright Data

What I Built

I built an automated Real-Time Gold Price Movement Intelligence & Trading Signal AI Agent. This agent leverages Bright Data’s real-time web scraping within an n8n workflow to collect live gold prices from trusted sources, analyzes this data using advanced AI models (Perplexity AI and custom logic), and automatically generates actionable trading signals with risk parameters. Alerts are instantly sent to traders via WhatsApp/SMS through 8x8 CPaaS. With integrations for broker APIs, it can place trades (with a human approval step) and produce daily/weekly PDF reports—making gold trading fast, informed, and automated for both individuals and institutions.

Demo

Video Link

n8n Workflow

Workflow JSON is shared as a GitHub Gist here

Technical Implementation

1. System Instructions: Monitor global gold price movements in real time, apply AI-based pattern recognition and sentiment analysis, and generate high-confidence trading signals with risk management overlays.
2. Model Choice: Perplexity AI for contextual financial reasoning, supplemented by ML models for technical analysis (trend-breakouts, volatility assessment, sentiment correlation).
3. Memory & Tools: Historical price data and signal outcomes are logged for ongoing learning and refinement. Integration with n8n AI Agent Node, Bright Data Verified Node, and multiple communication nodes (8x8, email).
4. Order Placement: For qualified signals, the workflow triggers a brokerage API order—gated through human review—with instant portfolio updates.

Bright Data Verified Node

Bright Data’s n8n-verified node is used to:

1. Collect spot gold prices, historical gold data, and news/sentiment from 20+ sources (BullionVault, GoldPrice.org, MetalsDaily etc.) at 10-second intervals
2. Fetch economic indicators (USD, inflation, Fed updates, news feeds) to enhance trading context
3. Enable real-time, multi-source, and multi-currency data streams, ensuring signals always reflect the freshest information

Journey

1. Designing a robust, multi-service workflow in n8n with data reliability and low latency as priorities
2. Implementing the Bright Data Verified Node for seamless, legal data acquisition at scale
3. Fine-tuning AI parameters and backtesting on historical gold volatility to optimize signal confidence and minimize false positives
4. Solving challenges in broker API integration (synchronizing with Indian/international brokers while maintaining audit trails and approval flows)
5. Ensuring compliance, auditability, and customization (position sizing, alert rules) for end-user needs
6. This project showed me the power of combining cutting-edge real-time data with AI automation—and how accessible that is today with tools like n8n and Bright Data. Looking forward to iterating further!