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ElMoorish edited this page Sep 12, 2026 · 2 revisions

🧠 Welcome to the TriDomainMoE Wiki

Welcome to the official technical documentation for TriDomainMoE β€” an institutional-grade, multi-scale Mixture of Experts (MoE) algorithmic trading architecture engineered for MetaTrader 5 (MT5).


πŸ“‘ Documentation Index

  1. 01 Architecture & Foundations: Mathematical formulation of the 3 orthogonal deep learning experts, Continuous Softmax CAW router, and meta-sizer.
  2. 02 Feature Engineering Pipeline: Complete feature definitions including Fractional Differencing ($d^*=0.45$), Parkinson Volatility Ratios, Order Flow Imbalance (OFI), and HiPPO timescale states.
  3. 03 Execution & MT5 Bridge: Ultra-low latency (< 20ms) MetaTrader 5 live order routing, pre-trade anti-adverse book shielding, and volatility-adaptive breakeven ratcheting.
  4. 04 Continual ReCAP Adaptation: Multi-Scale Wavelet Energy Drift Surveillance (MRDD), counterfactual credit assignment, and modular parameter delta synthesis with guaranteed 0.00% catastrophic forgetting.
  5. 05 Verified 1-Year Benchmark: Complete empirical verification across 105,078 continuous M5 bars (75.85% win rate, 3.37 profit factor, 0.375% max drawdown, 13/13 positive months).
  6. 06 Live Trading & Deployment Guide: Step-by-step production operations manual, environment setup, background daemons, and live Bloomberg-style telemetry dashboard.
  7. 07 Hugging Face Model Zoo: Pretrained neural checkpoints, discrete VQ-VAE state tokenizers, tensor dimensions, and Python loading recipes.

⚑ High-Level System Architecture

                       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                       β”‚          BTCUSD Continuous M5 / H1 Data Stream          β”‚
                       β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                                    β”‚
                   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                   β–Ό                                β–Ό                                β–Ό
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚  Microstructure Tech (6D)   β”‚  β”‚   Macro Term Structure (6D) β”‚  β”‚  Fundamental Sentiment (8D) β”‚
    β”‚  - Log Return & Vol 20      β”‚  β”‚  - H1 Log Ret & Trend 50   β”‚  β”‚  - Polarity & Uncertainty   β”‚
    β”‚  - FracDiff Price Action    β”‚  β”‚  - H1 24h Volatility        β”‚  β”‚  - Monetary & Geopolitics   β”‚
    β”‚  - Volume Momentum          β”‚  β”‚  - H4 Swing Trend (200 H1)  β”‚  β”‚  - Corporate & Commodities  β”‚
    β”‚  - Parkinson Vol Ratio      β”‚  β”‚  - D1 Secular Trend (600 H1)β”‚  β”‚  - 24h CVD Cumulative Flow  β”‚
    β”‚  - Bar Order Flow Imbalance β”‚  β”‚  - Vol Term Slope (24h/168h)β”‚  β”‚  - Spread / Basis Ratio     β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                   β”‚                                β”‚                                β”‚
                   β–Ό                                β–Ό                                β–Ό
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚ Dilated Causal Convolutions β”‚  β”‚  HiPPO State-Space Recurrenceβ”‚  β”‚ Gated Deep Residual Highway β”‚
    β”‚ (Dilation = 1, 2)           β”‚  β”‚ (Timescale prior 0.85-0.995)β”‚  β”‚ (LayerNorm + Skip Residual) β”‚
    β”‚ Zero lookahead leakage      β”‚  β”‚ Multi-cycle macro memory    β”‚  β”‚ Non-linear news modulation  β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                   β”‚                                β”‚                                β”‚
                   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                                    β–Ό
                               β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                               β”‚   Continuous Softmax CAW Router (8D z)  β”‚
                               β”‚   + Unconditional Drift Base Forecaster β”‚
                               β”‚   + Meta-Labeling Trade Conviction Sizerβ”‚
                               β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                                    β–Ό
                               β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                               β”‚      Execution Decision & Sizing s_t    β”‚
                               β”‚     (Strict Prop 2.5% DD Constraint)    β”‚
                               β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ† Key Performance Benchmarks (Enhanced Live v2)

Empirically verified across 105,078 continuous M5 bars (1 full year) with broker floating spreads, slippage penalties, and adverse execution modeling:

Performance Metric Institutional Value Benchmark Requirement
Win Rate 75.85% (336 W / 107 L) $&gt; 70.0%$
Profit Factor 3.37 $&gt; 2.50$
Max Trailing Drawdown 0.3753% ($38.03 cash on $10k base) $&lt; 2.50%$ (Prop Firm Ceiling)
Annualized Sharpe Ratio 9.47 $&gt; 3.00$
Annualized Sortino Ratio 39.05 $&gt; 5.00$
Calmar Ratio 40.43 $&gt; 10.0$
Deflated Sharpe (DSR) 1.0000 $\ge 0.95$ ($p &lt; 0.0001$)
Calendar Consistency 13 / 13 Positive Months (100%) Zero Negative Months

🌐 External Resources & Model Zoo

🧠 TriDomainMoE Wiki


🌐 Ecosystem & Portals


πŸ’– Research Grants (USDT)

  • Asset: USDT (Tether)
  • Network: TRON (TRC20)
  • Address:
    TC8TFkemSFGEeBPF5ZQKbmjK97FVEGwrwc

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