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๐Ÿฆ… FEAT NEXUS PRIME

NEXUS Python Docker MT5 Supabase

The first institutional-grade Algorithmic Trading Platform that bridges MetaTrader 5 with an Autonomous AI Cรณrtex (Dockerized Brain + SSE + RAG).

Mission โ€ข Command Center โ€ข Architecture โ€ข Omni-Audit โ€ข Institutional DB


๐ŸŽฏ The Mission

NEXUS PRIME is not just an indicator or a bot; it is a Mission-Critical Ecosystem designed for high-frequency data extraction, ML-driven analysis, and autonomous decision-making using the FEAT (Form, Space, Acceleration, Time) methodology.

Related MCP server: OpenTrading

๐ŸŽฎ Command Center (One-Switch Control)

The entire system lifecycle is controlled via a unified Python Orchestrator:

  • nexus.bat: Initializes the "Golden Start".

    1. Bootstraps MetaTrader 5.

    2. Orchestrates Docker Compose (Brain + Dashboard).

    3. Executes Internal Sync Audit.

    4. Runs the War Room Report.

    5. Opens the Visual Interface.

  • stop_nexus.bat: Executes a Graceful Shutdown.

    1. Safe Docker teardown (Persistence guaranteed).

    2. Professional MT5 process termination.

  • check_system.bat: The Omni-Auditor on demand.

๐Ÿ—๏ธ Architecture: NEXUS PRIME

The system operates on a decentralized core-peripheral model:

  1. THE BRIDGE (MQL5): Native indicators (UnifiedModel_Main.mq5, InstitutionalPVP.mq5) extraction engine with high-performance ZMQ streaming.

  2. THE BRAIN (Docker/Python): A specialized MCP Server hosting the ML Engine, Data Collectors, and the RAG Memory (ChromaDB).

  3. THE PERSISTENCE (Supabase): Institutional-grade schema for high-frequency tick logging, signal auditing, and model performance tracking.

  4. THE VISION (Dashboard): Next.js + Framer Motion visual cockpit for real-time monitoring.

๐Ÿ•ต๏ธ Omni-Audit (Self-Healing)

Every component is monitored by the NEXUS Omni-Auditor. If a data blocker is detected (MT5 Offline, ZMQ Latency > 50ms, DB Sync Failed), the system generates a machine-readable REPAIR_REQUEST to trigger autonomous self-healing by the Antigravity Agent.

๐Ÿ“Š Institutional Persistence

The database schema (institutional_schema.sql) is designed for senior quantitative analysis:

  • market_ticks: Nanosecond-aware price capture.

  • feat_signals: Comprehensive audit trail with confidence scores and top-drivers.

  • ml_inference_logs: Feature snapshots at the moment of prediction for retrospective learning.

  • knowledge_base: RAG persistence for the autonomous agent.


โšก Quick Start (The NEXUS Protocol)

1. Requirements

  • Windows 11 (for MT5 Terminal).

  • Docker Desktop.

  • Python 3.12+.

2. Configuration

Fill your .env with the Supabase credentials and MT5 paths:

SUPABASE_URL=https://your-project.supabase.co
SUPABASE_KEY=your-service-role-key
MT5_PATH=C:\Program Files\LiteFinance MT5 Terminal\terminal64.exe

3. Ignition

Run the main orchestrator:

.\nexus.bat

๐Ÿ“œ Repository Hygiene

This project follows strictly the Saneamiento Protocol:

  • No binary files in Git.

  • No local logs in Git.

  • No environment variables in Git.

  • Clean development/production branch harmonization.


Built for the Next Generation of Quantitative Trading.
Powered by SrAndres629 & Antigravity Agent.

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