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AGBacktestsImplementation Aware

Backtests that distinguish structural portfolio behavior from real-world implementation.

This page presents two complementary views of Asymmetric Growth (AG): a rules-based backtest that rebalances to target weights at each month end using daily adjusted-close data, and a live implementation record based on actual execution, contribution timing, and realized portfolio behavior since inception.

Rules-BasedStructural ModelActual SleeveMethodology Disclosed
Model protocol
The backtest uses fixed target weights, month-end rebalancing, daily adjusted-close data, and a simple turnover-based fee assumption.
Limited history handling
If a holding does not yet have price history on a rebalance date, it is excluded for that period and the remaining investable weights are re-scaled proportionally.
Interpretation
Use the backtest to study structural behavior under a consistent ruleset, and the live sleeve to study how the strategy has actually behaved under real funding, timing, and implementation conditions.
How to read this page
Equity Curve

Shows how the rules-based AG portfolio compounded under fixed target weights, month-end rebalancing, and limited-history re-scaling where needed.

Drawdowns

Shows the depth and duration of peak-to-trough declines in the model. Use it to frame path dependency, recovery behavior, and regime sensitivity.

Live sleeve

Reflects actual executed performance since inception, including real contribution timing, implementation decisions, and the lived portfolio path rather than a hypothetical paper track record.

Equity Curve
Fixed-weight model using daily adjusted-close data, month-end rebalancing, limited-history re-scaling, and a simple turnover fee assumption.
Equity curve for the rules-based AG backtest versus SPY using month-end rebalancing and limited-history re-scaling
Drawdowns
Peak-to-trough declines under the same month-end rebalance, adjusted-close data, and limited-history re-scaling methodology.
Drawdown chart for the rules-based AG backtest versus SPY under the same methodology
Live Implementation Sleeve
Actual executed performance since inception, including real contributions, entry timing, and implementation path.
Live AG sleeve performance since inception based on actual execution, contribution timing, and implementation path
Methodology Note

The rules-based backtest uses daily adjusted-close data, fixed target weights, and month-end rebalancing. When a holding does not yet have trading history on a rebalance date, it is excluded for that period and the remaining investable weights are re-scaled proportionally. The model also applies a simple turnover-based fee assumption, but it is not a full execution simulator and does not model taxes, liquidity constraints, bid-ask spreads, staged entries, or exact real-world cash flows.

The live AG sleeve shown above serves a different purpose: it reflects actual execution, contribution timing, and realized portfolio behavior since inception. These two views are designed to complement one another rather than match period by period.

What this page is designed to show

The backtest is designed to show how a consistent AG weight framework behaved over time under a transparent, rules-based rebalance process.

Because newer holdings enter the model only when price history becomes available, earlier periods should be read as an available-history version of the sleeve rather than a perfect reconstruction of today's full portfolio.

The live sleeve is designed to show the actual operating path of the strategy since inception under real funding, execution, and timing conditions.

Portfolio Engineers

Research-driven portfolio systems focused on portfolio design, market structure, and long-term resilience.

© 2026 Portfolio Engineers. Content is provided for research and educational purposes only and should not be interpreted as investment advice or a recommendation to buy or sell any security. Hypothetical or model results may not reflect actual trading outcomes.