Portfolio Return Trajectory
Hover over the coordinates to trace the trajectory. The visual represents the cumulative net return percentage before capital distribution.
Securing returns through disciplined position sizing, absolute risk management, and rigorous trade execution.
Hover over the coordinates to trace the trajectory. The visual represents the cumulative net return percentage before capital distribution.
A strict percentage-only audit breakdown of asset contribution. Returns factor in transaction slippage and overheads.
| Sector Class | 2025 Return | 2026 YTD Return | Cumulative Total Return |
|---|---|---|---|
| Forex / Precious Metal | +156.50% | — | +156.50% |
| Equities (Mining / Exploration) | +28.69% | — | +28.69% |
| Equities (YTD / Special Situations) | — | +5.54% | +5.54% |
| Energy Futures | — | +1.46% | +1.46% |
| Portfolio Overhead Drag | -10.64% | — | -10.64% |
| Combined Portfolio | +174.55% | +7.00% | +181.55% Net Return |
10,000-run Monte Carlo simulations and outcome expectancy distribution showing systematic survival statistics.
To capture the next structural asymmetric opportunities, we are currently focused on Commitment of Traders (COT) report analysis.
By systematically decoding the net positioning of commercial hedgers (smart money) against leveraged speculators, we map the underlying flows of market participation.
We trade where capital flows are stretched, identifying the exact coordinates of structural trend exhaustion.
As we expand our absolute return framework, we are developing algorithmic strategies designed to hedge multiple market risks.
We are constructing options-based volatility structures designed to capture sharp changes in implied volatility. This systematically safeguards our capital, ensuring robust defense during major market crashes and systemic liquidity roll-overs.
Before deploying real capital, we spent two years in full-scale paper trading to refine our testing systems.
Our initial model took a 100k account and faced an immediate, humbling drawdown to 50k. This initial failure was our greatest asset. It forced us to redesign our risk parameters, study market drawdowns, and build structured rules for sizing.
With strict controls implemented, the same system recovered and scaled to peak at 4M before settling at a final, consolidated balance of approximately 3.8M.
We do not believe in luck; we believe in the statistics of survival.