metals-desk-os

Institutional Desk-Level Fully Automated Trading OS for XAU/USD and XAG/USD. Event-driven, risk-first, multi-engine architecture that runs as a continuous analysis and execution pipeline inside OpenClaw's trader agent.

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Repository: johnalbertini14-glitch/openclaw-skills
Last source activity: February 11, 2026 at 14:06
Detected SKILL.md language: English
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name	metals-desk-os
description	Institutional Desk-Level Fully Automated Trading OS for XAU/USD and XAG/USD. Event-driven, risk-first, multi-engine architecture that runs as a continuous analysis and execution pipeline inside OpenClaw's trader agent.

Metals Desk OS

An institutional-grade metals trading operating system for gold (XAU/USD) and silver (XAG/USD). This skill transforms the OpenClaw trader agent into a full prop-desk assistant with real-time analysis, automated execution, risk management, and performance tracking.

When to Use This Skill

Use this skill when:

Analyzing gold or silver market structure (ICT/SMC methodology)
Generating trade signals with full entry/SL/TP plans
Running automated or semi-automated trade execution via MT5
Monitoring real-time risk, drawdown, and position management
Tracking trading performance (win rate, expectancy, Sharpe, drawdown)
Getting session-aware, macro-aware trading intelligence

Architecture Overview

The system runs as a continuous event-driven pipeline:

PRICE FEED → SESSION ENGINE → STRUCTURE ENGINE → LIQUIDITY ENGINE →
MACRO ENGINE → BIAS ENGINE → VOLATILITY ENGINE → RISK ENGINE →
EXECUTION ENGINE → BROKER → PERFORMANCE ENGINE → DASHBOARD → ALERTS

All engines communicate through a central Event Bus (EventEmitter pattern). Every event is logged and can be monitored in real-time via WebSocket.

Core Engines

Engine	Purpose	Key Outputs
Structure Engine	Detects HH/HL/LH/LL, BOS, CHoCH, FVG, Order Blocks	Market structure, trend direction, structural shifts
Liquidity Engine	Finds equal highs/lows, stop clusters, session levels, sweeps

metals-desk-os/ ├── SKILL.md # This file ├── index.js # Main orchestrator & entry point ├── package.json # npm dependencies ├── skill.json # OpenClaw registration manifest ├── manifest.json # Runtime configuration ├── core/ # 8 trading engines │ ├── structure-engine.js # HH/HL/LH/LL, BOS, CHoCH, FVG, OB │ ├── liquidity-engine.js # Pools, sweeps, equal levels │ ├── bias-engine.js # MTF bias, conviction scoring │ ├── macro-engine.js # DXY, yields, sentiment, news │ ├── volatility-engine.js # ATR, regime, spikes │ ├── risk-engine.js # Position sizing, halts │ ├── execution-engine.js # Signal generation │ └── performance-engine.js # Metrics tracking ├── automation/ # System automation layer │ ├── event-bus.js # Central event system │ ├── price-feed.js # MT5/MetaAPI price data │ ├── session-engine.js # London/NY/Asian sessions │ ├── scheduler.js # Cron tasks │ └── news-monitor.js # Economic calendar ├── broker/ # MT5 broker integration │ ├── mt5-connector.js # Order execution via MetaAPI │ ├── risk-guard.js # Position monitoring & trailing │ └── order-manager.js # Order lifecycle management ├── dashboard/ # Real-time monitoring │ ├── websocket-feed.js # WebSocket broadcaster (port 3078) │ ├── desk-dashboard.json # Widget layout config │ └── metrics.json # Metrics template ├── alerts/ # Notification channels │ ├── whatsapp-alert.js # WhatsApp Business API │ ├── telegram-alert.js # Telegram Bot │ └── risk-alert.js # Centralized dispatcher ├── data/ # Persistent state files │ ├── state.json # System mode & connections │ ├── trade-log.json # Trade history │ ├── performance.json # Performance metrics │ └── bias-memory.json # Bias state persistence └── prompts/ # AI agent prompts ├── system.txt # Main system prompt ├── intraday.txt # Intraday trading protocol ├── swing.txt # Swing trading protocol └── execution.txt # Execution protocol

Mode	Name	Behavior
1	Advisory	Full analysis pipeline runs, signals logged, no execution
2	Semi-Automated	Signals generated + automatic TP/SL/trailing management
3	Fully-Automated	Autonomous execution: signal → order → manage → close
4	Risk-Off	Monitoring only, no signals generated

metals-desk-os

Install options

Review the source files

Metals Desk OS

When to Use This Skill

Architecture Overview

Core Engines

Metals Desk OS

When to Use This Skill

Architecture Overview

Core Engines

System Modes

Risk Rules (Non-Negotiable)

Trade Management Protocol

Entry Conditions (All Must Pass)

File Structure

Installation

Step 1: Deploy to OpenClaw

Step 2: Install Dependencies

Step 3: Configure Environment

Step 4: Set Initial Mode

Step 5: Start

Dashboard

Alert Formats

Key Events

Validation Checklist

metals-desk-os

Source facts

Install options

Review the source files

More from this repository

More from this repository

Metals Desk OS

When to Use This Skill

Architecture Overview

Core Engines

Metals Desk OS

When to Use This Skill

Architecture Overview

Core Engines

System Modes

Risk Rules (Non-Negotiable)

Trade Management Protocol

Entry Conditions (All Must Pass)

File Structure

Installation

Step 1: Deploy to OpenClaw

Step 2: Install Dependencies

Step 3: Configure Environment

Step 4: Set Initial Mode

Step 5: Start

Dashboard

Alert Formats

Key Events

Validation Checklist