dvcrn 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 | Liquidity pools, sweep confirmations |
| Bias Engine | Multi-timeframe directional bias with conviction scoring | HTF bias, intraday bias, conviction 0-100, alignment score |
| Macro Engine | Tracks DXY, US10Y yields, risk sentiment, news proximity | macro_bias (bullish/bearish/neutral gold), macro_risk level |
| Volatility Engine | ATR calculation, spike detection, regime classification | ATR, volatility regime (low/normal/high/extreme) |
| Risk Engine | Position sizing, drawdown monitoring, halt triggers | Lot size, risk %, pass/fail gate for every trade |
| Execution Engine | Combines all engines to generate trade signals | Full trade plan: entry, SL, TP1/TP2/TP3, position size |
| Performance Engine | Win rate, expectancy, Sharpe, monthly breakdown | Comprehensive performance metrics and trade log |
System Modes
| 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 |
Set the mode in data/state.json or via WebSocket command. Always start in Mode 1 for validation.
Risk Rules (Non-Negotiable)
These hard rules are enforced by the Risk Engine and cannot be overridden:
- Max 2% risk per trade — Position sized via
(Balance × Risk%) / StopDistance - Max 5% daily exposure — Cumulative open risk capped
- 3 consecutive losses → halt trading for the session
- Volatility spike → reduce size 50% (extreme = 75% reduction)
- Spread widening → block entry (symbol-specific thresholds)
- High-impact news < 20 minutes → block all entries
- Equity drawdown > 8% → halt trading until manual resume
- API error on order → cancel, do NOT retry
- Broker disconnect → close all positions immediately
Trade Management Protocol
- TP1 at 1.5R → Partial close 40% → Move SL to break-even
- TP2 at 2.5R → Partial close 30% → Trail SL under structure
- TP3 at 4.0R → Close remaining 30% → Log trade to performance
Entry Conditions (All Must Pass)
For the Execution Engine to generate a signal, every condition must be true:
- Bias conviction ≥ 65/100
- Alignment score ≥ 0.6
- Liquidity sweep confirmed (aligned with direction)
- BOS or CHoCH confirmed in trade direction
- Session = London or New York (kill zones preferred)
- Macro risk = low or medium
- Spread within threshold
- No news block active
- Daily loss below 80% of limit
- Consecutive losses < 3
File Structure
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
Installation
Step 1: Deploy to OpenClaw
cp -r metals-desk-os/ ~/.openclaw/agents/trader/agent/metals-desk-os/
cd ~/.openclaw/agents/trader/agent/metals-desk-os/
Step 2: Install Dependencies
npm install
Step 3: Configure Environment
Create a .env file in the skill root with the following variables:
# MetaAPI / MT5 Connection
METAAPI_TOKEN=your_metaapi_token_here
MT5_ACCOUNT_ID=your_mt5_account_id_here
# WhatsApp Business API (optional)
WHATSAPP_API_URL=https://graph.facebook.com/v18.0/YOUR_PHONE_NUMBER_ID/messages
WHATSAPP_TOKEN=your_whatsapp_token_here
WHATSAPP_PHONE=your_phone_number_with_country_code
# Telegram Bot (optional)
TELEGRAM_BOT_TOKEN=your_telegram_bot_token_here
TELEGRAM_CHAT_ID=your_telegram_chat_id_here
# News API (optional)
NEWS_API_KEY=
# AI Keys (optional, for enhanced analysis)
OPENROUTER_API_KEY=
ANTHROPIC_API_KEY=
MetaAPI: Sign up at https://metaapi.cloud and connect your Fusion Markets MT5 account. Telegram: Create a bot via @BotFather, get chat ID from @userinfobot. WhatsApp: Configure via Meta Business API dashboard.
Step 4: Set Initial Mode
Edit data/state.json and set "mode": 1 (Advisory) to start safely.
Step 5: Start
# Direct
node index.js
# Or with PM2 for production
pm2 start index.js --name metals-desk-os
pm2 save
pm2 startup
Dashboard
Connect any WebSocket client to ws://localhost:3078 to receive real-time JSON payloads containing:
- Live prices and spread statistics
- HTF and intraday bias with conviction scores
- Active positions with live P&L and R:R
- Liquidity map (equal highs/lows, sweep markers)
- Macro panel (DXY, yields, news countdown)
- Performance metrics (win rate, expectancy, drawdown, Sharpe)
- Risk status (halt state, daily P&L, exposure)
- Event log (all system events)
Alert Formats
Trade opened:
TRADE OPENED
Pair: XAUUSD
Direction: Long
Entry: 5024.50
SL: 5010.00
TP1: 5046.25
Risk: 1.5%
Session: London
Conviction: 82/100
Risk halt:
RISK HALT ACTIVATED
Reason: 3 consecutive losses
Trading paused for session
Key Events
The Event Bus broadcasts these events that external systems can subscribe to:
price.update— New price tick with candle datastructure.shift— BOS or CHoCH detectedliquidity.sweep— Liquidity pool sweptbias.update— Bias recalculatedbias.flip— HTF bias direction changedexecution.signal— Valid trade signal generatedrisk.halt/risk.resume— Trading halted or resumedorder.filled/order.closed— Order lifecycle eventsperformance.update— New trade recorded to performancemacro.news.block— News event blocking execution
Validation Checklist
Before moving beyond Mode 1:
- Price feed produces ticks (live or simulated)
- Structure engine detects swing points and BOS/CHoCH
- Liquidity engine identifies pools and sweeps
- Bias engine produces conviction scores > 0
- Session engine correctly identifies current session
- Risk engine validates and rejects test scenarios
- Execution engine generates signals with full entry plans
- Alerts arrive on configured channels
- WebSocket feed broadcasts state updates
Once all pass, move to Mode 2 (Semi-Auto) to test position management, then Mode 3 (Full-Auto) for live execution.