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XAU Risk Journal

by MD ARIFUZZAMANUpdated May 4, 2026

Bridges TradingView alerts for XAU/USD trading to perform local risk checks and log entries to an SQLite database. It processes incoming alerts, evaluates risk parameters like position sizing, and persists trade journals locally. Quantitative traders and algo developers use it to automate compliant trade execution without external dependencies.

tradingview
risk-management
xau-usd
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Overview

The XAU Risk Journal MCP server connects TradingView alerts specifically for the XAU/USD (gold/USD) trading pair to a local processing pipeline. It receives webhook payloads from TradingView, applies configurable risk checks, and records outcomes in a SQLite database for journaling. This setup enables automated, auditable trade management on local hardware, bypassing cloud service latencies or costs.

Key Capabilities

  • TradingView alert bridge: Parses incoming webhook data from TradingView charts, extracting signal details like entry price, stop-loss, and take-profit for XAU/USD.
  • Local risk checks: Evaluates alerts against user-defined rules, such as maximum account risk per trade (e.g., 1-2%), position size calculations based on volatility, and correlation filters.
  • SQLite journaling: Stores processed alerts, risk verdicts, and simulated/executed trade outcomes in a structured local database for querying and analysis.

Use Cases

  1. Alert-driven position sizing: A trader sets a TradingView Pine Script alert for XAU/USD breakouts; the server checks if the proposed position adheres to 1% account risk before logging approval for manual execution.
  2. Automated journaling for backtesting: Connect multiple TradingView strategies to the bridge, apply historical risk rules, and query SQLite to analyze win rates and drawdowns over time.
  3. Live risk gating for bots: Integrate with a local trading bot that only places XAU/USD orders if the server's risk check passes, ensuring no oversized positions during volatile sessions.
  4. Daily review workflows: Export SQLite data to tools like Pandas for performance reports, tracking how risk checks filtered out high-exposure alerts.

Who This Is For

Quantitative traders focused on XAU/USD, algorithmic developers building local execution systems, and risk-conscious retail traders using TradingView. It suits users needing lightweight, private risk management without API keys from brokers or cloud journals.