Sovereign Multi-Strategy Portfolio
Systematic FX trading system combining two uncorrelated strategy sleeves. Research-driven. Statistically validated. Institutionally rigorous.
Strategy Architecture
Two independent strategy sleeves operating on different instruments, different mechanisms, and different market conditions. Near-zero correlation provides genuine diversification.
Near-zero inter-strategy correlation (0.043) confirms genuine diversification. The volcycle sleeve enters on volatility compression breakouts while the pullback sleeve enters on mean-reversion within established trends — fundamentally different mechanisms that reduce portfolio-level drawdowns below what either strategy achieves individually.
What Sovereign Is & Is Not
Transparency builds trust. Here's what you're getting — and what you're not.
Yearly Performance
9 of 11 years positive. Only one negative year at -2.77% (2018).
| Year | Return | Max DD | Trades | Status |
|---|---|---|---|---|
| 2016 | +12.26% | -3.8% | 87 | Positive |
| 2017 | +7.73% | -4.1% | 91 | Positive |
| 2018 | -2.77% | -8.3% | 85 | Negative |
| 2019 | +10.02% | -4.2% | 94 | Positive |
| 2020 | +8.36% | -5.8% | 88 | Positive |
| 2021 | +6.00% | -5.1% | 90 | Positive |
| 2022 | +10.26% | -3.5% | 97 | Positive |
| 2023 | +6.89% | -5.6% | 86 | Positive |
| 2024 | +9.44% | -4.7% | 92 | Positive |
| 2025 | +1.67% | -5.3% | 95 | Positive |
| 2026* | -0.12% | -1.0% | 28 | Partial |
Risk Analysis
Conservative risk management with institutional-grade validation.
| Risk Metric | Value |
|---|---|
| Recovery Factor | 11.5x |
| Average Loss (R-multiple) | -0.84R |
| Stop-Loss Hit Rate | 49.5% |
| Worst Year | -2.77% (2018) |
| Walk-Forward OOS Sharpe | 0.774 |
| Monte Carlo Ruin (95th pct) | 2.9% |
Research Methodology
Strategies designed from statistical properties of the data, not optimized to fit historical results.
ADF tests, Hurst exponent (0.568-0.607), kurtosis (13-223), and autocorrelation analysis on 17 instruments over 10 years determined mathematical properties before any strategy was designed.
8-segment rolling out-of-sample validation. Average OOS Sharpe of 0.774 confirms the strategy generalizes beyond training data.
10,000 trade-sequence permutations. Ruin probability of 2.9% at the 95th percentile confirms statistical robustness.
All strategies use identical parameters across all instruments. No per-instrument optimization. Only instruments passing PF > 1.15 with 200+ trades were selected.
1.2x spread, 1 pip slippage, gap-aware stops, and swap costs. Results reflect realistic trading conditions.
7 filter configurations tested against baseline. No filter improved risk-adjusted returns. The system is already optimally calibrated.
Trading Infrastructure
Institutional-grade technology stack built for reliability and auditability.
| Component | Technology |
|---|---|
| Execution Engine | Python 3.11 + MetaTrader 5 Direct API |
| Risk Engine | Guardian Pipeline (15 pre-trade checks) |
| Regime Detection | Hidden Markov Model (3-state classifier) |
| Audit System | Hash-chained immutable trade log |
| Broker | IC Markets RAW ECN ($7 RT commission) |
| Backtest Engine | Custom 10-year bar replay framework |
Get the Full Research Report
Download the complete 6-page investor pitch with equity curves, monthly heatmaps, drawdown analysis, Monte Carlo results, and full methodology breakdown.
No spam. One email with your report. Unsubscribe anytime.
Important Disclaimer: This page is prepared for informational purposes only and does not constitute financial advice, an offer to sell, or solicitation of an offer to buy any financial instrument. Past performance, whether backtested or live, is not indicative of future results. All backtested results are hypothetical and subject to inherent limitations including but not limited to: the benefit of hindsight, the inability to perfectly model real-world execution conditions, and potential differences between simulated and actual trading results. The strategies described involve risk of loss and are not suitable for all investors. Any investment decision should be made after thorough due diligence and consultation with a qualified financial advisor.