06 Live Trading and Deployment Guide

💻 06. Live Trading & Deployment Guide

This guide outlines the production deployment workflow for TriDomainMoE with live MetaTrader 5 order execution and the real-time institutional telemetry dashboard.

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1. System Requirements

• Operating System: Windows 10/11 (required for native MetaTrader 5 IPC bridge) or Linux with Wine / MT5 Gateway.
• Python: Version 3.11+
• Hardware: Dedicated GPU (NVIDIA RTX 3060 / 4060 or higher recommended for continual ReCAP cycles).
• MetaTrader 5: Installed terminal logged into an institutional broker demo or live account with algorithmic trading enabled.

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2. Environment Configuration

1. Clone the repository:

   git clone https://github.com/ElMoorish/TriDomainMoE.git
   cd TriDomainMoE

2. Create virtual environment and install dependencies:

   python -m venv venv
   .\venv\Scripts\activate
   pip install -e .

3. Configure environment variables: Copy .env.example to .env and fill in your MetaTrader 5 connection credentials:

   copy .env.example .env

   Edit .env:

   MT5_LOGIN=YOUR_ACCOUNT_LOGIN
   MT5_PASSWORD=YOUR_ACCOUNT_PASSWORD
   MT5_SERVER=YOUR_BROKER_SERVER
   MT5_PATH=C:\Program Files\MetaTrader 5\terminal64.exe
   TRADER_LOG_DIR=logs/

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3. Running the Live MT5 Execution Trader

The trader daemon connects to the active MT5 terminal, streams real-time ticks, builds M5 features, evaluates the 4 enhancement defense vectors, and executes orders with hard stop-loss/take-profit brackets.

python scripts/live_mt5_trader.py \
    --symbol BTCUSD.x \
    --timeframe M5 \
    --weights weights/btcusd_tri_domain_v2.pt \
    --risk-pct 0.0020 \
    --enhanced \
    --breakeven-ratchet \
    --interval 5

Key Flags:

• --risk-pct 0.0020: Allocates $0.20%$ equity risk per trade ($20.00 cash risk on a $10k account base).
• --enhanced: Activates Vector 1 (Anti-Adverse Order Book Shield) and Vector 3 (Router Shannon Entropy Gating).
• --breakeven-ratchet: Activates Vector 2 (ratchets Stop-Loss to Breakeven $+ \text{Spread} + 2\text{ pts}$ when unrealized profit reaches $+1.5\sigma$).
• --interval 5: High-frequency polling frequency in seconds.

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4. Launching the Institutional Telemetry Dashboard

The dashboard provides a Bloomberg-style dark terminal interface displaying live streaming quotes, MT5 account solvency, active positions, expert allocation gauges, and daily trade performance.

python scripts/serve_dashboard.py

Open your browser and navigate to:

http://localhost:8888

Dashboard Tabs:

• Terminal Hub: Live bid/ask, floating spreads, account equity, and active position mark-to-market tracker.
• Model Inference: Live directional forecast $\hat{y}$, router Shannon entropy $H(g)$, and domain weight gauges (Tech %, Macro %, Fund %).
• Auto Self-Improvement: Discrete Wavelet Energy Divergence (MRDD), episodic anomaly tracker, and ReCAP policy delta library.
• Daily Performance: Calendar-day trade attribution, daily hit rates, profit factors, and date filtering.