PORTFOLIO COMPARISON / ONE VARIABLE
Golden Butterfly Portfolio Backtest
Backtest a Golden Butterfly Portfolio using a disclosed US ETF proxy: stocks, small value, long Treasuries, short Treasuries and gold at 20% each.
HISTORICAL BACKTEST RESULT
60% SPY / 40% AGG vs Golden Butterfly
Historical calculation from cached Marketstack EOD data. Annual rebalancing, $10,000 initial value, nominal USD before fees and taxes. The disclosed portfolio definitions—not an AI model—produce the result.
RUN THIS PORTFOLIO
Change the rule, then compare the new result.
WHAT TO COMPARE
Read the trade-off as a system.
- 01Ending value
- 02Maximum drawdown
- 03Sleeve contribution
- 04Start-date sensitivity
WHEN TO LOOK
Locate where the difference appeared.
A useful comparison shows whether an advantage was broad or created by one unusually favorable period. Review the portfolio backtest methodology to understand how the same rules are applied across a shared data window.
PORTFOLIO RULE / DISCLOSED IMPLEMENTATION
Five-sleeve ETF proxy
The ETF choices are disclosed proxies for an allocation concept. A different small-value or cash proxy can change the result.
REBALANCINGAnnual rebalancing to five equal 20% sleeves.
DATA WINDOWThe backtest automatically uses the first common EOD date of these ETF proxies; it is not a synthetic pre-ETF reconstruction.
STRATEGY CONTEXT
What this portfolio strategy means.
A short definition, the reason investors return to it, and the historical context behind the name. It is context for a backtest—not an investment recommendation.
What it is
The Golden Butterfly is a five-sleeve allocation concept: broad US stocks, small-cap value stocks, long-term Treasuries, short-term Treasuries, and gold, each at 20% in this disclosed ETF proxy. It deliberately combines assets intended to respond differently to economic growth, inflation, deflation, and changes in interest rates. This page makes every proxy and reset rule inspectable.
Why investors use it
People explore the Golden Butterfly because it aims for a smoother multi-asset experience than an all-equity portfolio while retaining a meaningful growth sleeve. The attraction is not a promise of the highest return; it is the possibility that no single economic environment dictates the entire result. A backtest is especially useful here because the strategy’s apparent stability depends on all five components.
Historical context
The allocation was developed and popularized in the modern portfolio-design community as a close relative of Harry Browne’s Permanent Portfolio, with an added small-value equity sleeve. It became widely discussed through Portfolio Charts. Exact implementations vary with the chosen stock, cash, Treasury, and gold proxies, so a historical claim about the name alone is not enough without showing the instruments used.