Systematic • Quantitative • Rules-Based

Systematic Multi-Strategy
Portfolio

A diversified, momentum-driven allocation strategy combining multiple quantitative signals across global ETFs and stocks. Backtested over 21 years with realistic transaction costs and slippage.

Hypothetical Backtest Results (Jan 2005 – Mar 2026) — Not a live track record. Past performance does not guarantee future results.

CAGR

2005 – 2026

Sharpe Ratio

Risk-adjusted return

Max Drawdown

Worst peak-to-trough

Win Rate

Monthly

Sortino

Annual Vol

Total Return

Best Month

Worst Month

Equity Curve (Backtest)

Strategy S&P 500 (SPY)

Drawdown (Backtest)

Monthly Returns (%) (Backtest)

Backtest Methodology

These results are not just a curve-fitted equity line. The backtest was designed to reflect real-world conditions as closely as possible.

Survivorship-Bias Free

Uses point-in-time universe data. Delisted and failed companies are included — no hindsight selection of "winners only."

Realistic Trading Costs

Interactive Brokers tiered fee schedule applied to every trade. Additional slippage model accounts for market impact.

99.9% Probabilistic Sharpe

A PSR of 99.9% means the observed Sharpe ratio is statistically significant — not a product of randomness or a short sample period.

No Curve Fitting

Rules-based signals with minimal parameters. Strategy logic validated out-of-sample across multiple market regimes.

21+ Years of Data

Covers the 2008 financial crisis, COVID crash, rising rates — not just a cherry-picked bull market window.

Same Code as Live

The backtest runs the exact same codebase deployed for live trading — no separate "research version."

How It Works

Three Strategies, One Portfolio

Combines momentum-based stock selection, trend-following across multiple asset classes (equities, bonds, commodities, gold), and minimum-variance optimization for risk reduction.

Quantitative Selection

Instruments are selected based on price momentum across multiple timeframes, volatility metrics, and trend-strength indicators. The universe includes global index ETFs and selected large-cap stocks.

Signal-Driven Rebalancing

Rebalancing is rules-based, triggered by signal changes across the individual strategies. Trading frequency adapts to market conditions — from multiple adjustments per week to extended holding periods when signals are stable. The goal is an attractive risk-return profile with controlled drawdowns.

All decisions are based on quantitative analysis of historical market data. The underlying strategies have been tested for robustness and consistency over a period of more than 20 years.

Follow the Strategy

Choose your preferred platform. Both track the same underlying signals with region-appropriate instruments.