The Mooorish ElMoorish

ElMoorish

Quantitative AI Architect • Machine Learning Systems Engineer • Full-Stack Developer

Architecting Self-Improving Neural Systems, Multi-Domain Mixture of Experts (MoE), and Low-Latency Institutional Quantitative Execution Engines for MetaTrader 5.

🧠 Architectural Philosophy & Core Focus

I design and deploy end-to-end autonomous trading architectures combining non-stationary deep learning, order flow microstructure analytics, and deterministic risk arbitration:

🏛️ Mixture of Experts (MoE) & Dynamic Gating: Routing high-frequency market regimes across specialized neural representations (Technical, Macroeconomic, and Microstructure/Fundamental) with Shannon entropy collapse safeguards ($H \ge 0.35$).
🔄 Continual Online Adaptation: Preventing catastrophic forgetting in financial non-stationary distributions via Elastic Weight Consolidation (EWC) penalty matrices and balanced experience replay memory.
🔬 Market Microstructure & Alternative Data: Extracting alpha through Order Flow Imbalance (OFI), Volume-Synchronized Probability of Toxicity (VPIN), Fractional Differentiation ($d=0.45$), and real-time sentiment NLP embeddings.
⚡ Low-Latency MetaTrader 5 Bridge: Sub-20ms forward inference and order dispatch with asymmetric volatility brackets, dynamic breakeven ratcheting, and 3-tier drawdown circuit breakers.

🏆 Flagship Open-Source Ecosystem

TriDomainMoE

Self-Improving Tri-Domain Mixture of Experts for MetaTrader 5 (BTCUSD.x & FX)

Three specialized sub-networks: Technical Specialist, Macro Specialist, Microstructure Specialist.
Top-1 Softmax Router with Gating Entropy Guard preventing router collapse.
Online EWC Continual Learning with Fisher information regularizer.
Multi-Resolution Drift Detector (MRDD) using discrete Haar wavelet energy decomposition.
Automated Sunday Midnight Weekly Recap (7-Day 24/7 crypto cycle) & Telegram live signals.

Explore Codebase → • Read Wiki →

FinRL-X-MT5

Hierarchical Multi-Agent Council Trading Architecture for US Indices (NAS100)

Hierarchical Multi-Agent Council: Prophet (Forecasting), Actuary (Risk), and Arbitrator (Execution).
Dynamic Breakeven Ratchet (+1.0R lock) and fractional Kelly position scaling.
Automated Friday 21:55 UTC Market-Close Weekly Performance Recaps with Telegram & Discord broadcasts.
Live WebSocket & SSE institutional telemetry streaming.

Explore Codebase →

AetherQuant-MT5

Deep Patch Time-Series Transformers (PatchTST) for MetaTrader 5

Self-attention PatchTST backbone with PyTorch Lightning distributed training.
Sub-bar volatility clustering with dynamic ATR stop buffers.
Enterprise-grade SOC 2 compliance, audit logging, and automated unit test suite.

Explore Codebase →

PrimeClub Institutional Portal

Next.js Web Portal & Live Telemetry Verification Hub

Verified live trading performance audits and real-time execution logs.
Interactive model card viewer, research paper downloads, and grant telemetry.
Connected with Hugging Face Model Hub and open-source GitHub ecosystems.

Launch Live Web Platform →

📝 Featured Publications & Technical Deep Dives

📰 How We Built a Self-Improving Tri-Domain Mixture of Experts (MoE) for MetaTrader 5
Published on Medium • 15 min read • Complete architectural breakdown of Top-1 Softmax Routing, Shannon Entropy Guarding, EWC Continual Learning, and Real-Tick Execution on MT5.
🤗 TriDomainMoE Model Zoo on Hugging Face
Official model repository featuring 8 production PyTorch .pt checkpoints (v1 baseline and v2 enhanced) trained on millions of M5 and tick bars.
📚 TriDomainMoE Comprehensive Technical Wiki
7-Chapter technical textbook documenting mathematical formulations, MRDD wavelet proofs, and execution bridge mechanics.

🛠️ Technical Competencies & Tooling

AI / Deep Learning         PyTorch 2.0+, PyTorch Lightning, Transformers (PatchTST), MoE Gating, EWC, SHAP, scikit-learn
Quant & Microstructure     MetaTrader 5 API, Order Flow Imbalance (OFI), VPIN, Fractional Differentiation, CPCV, Kelly Sizing
Full-Stack & Backend       Python 3.11, FastAPI, Uvicorn, SSE / WebSockets, Next.js, React, Vanilla CSS, HTML5, TypeScript
Data Engineering           Polars, Pandas, NumPy, Parquet, SQLite, Discrete Wavelet Transform (PyWavelets), SciPy
Cybersecurity & DevOps     SOC 2 Compliance, OWASP Perimeter Hardening, Docker, Linux, Git, PowerShell, Vercel

📊 GitHub Telemetry & Activity

🌐 Connect & Collaborate

_{💎 Research Grants & Protocol Support (USDT TRC20): TC8TFkemSFGEeBPF5ZQKbmjK97FVEGwrwc}

_{⚡ Engineered with Mathematical Rigor • Hardened for Zero-Downside Production • Built to Self-Improve ⚡}

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