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Golden Butterfly

Golden Butterfly

Tyler (author of the Portfolio Charts website); extension of Harry Browne's Permanent Portfolio · Circa 2016 (explanatory post dated 2016-04-18; exact first appearance not found)

Live account on this site. This portfolio is also tracked here with a virtual $100,000 since 21.10.2026. Live account on this site →

Where it stands today

Data through 2026-09. Updated every month.

Since January+3.3 %
Last 12 months+7.4 %
Last 5 years, per year+7.4 %
Now below the peak−3.6 %
Place by 12 months45 / 60

Our calculation, 1968-04 – 2026-09

Per year10.1 %
Real (after inflation)5.9 %
Volatility8.5 %
Worst drop−18.0 %
Worst year−12.2 % (2022)
Best year37.5 %
Worst 12 months−15.9 %
Positive years88 %

Growth of $10,000

$7,888$27,845$98,297$347,000$1,224,954$4,324,245197019801990200020102020
Golden Butterfly: $2,764,522S&P 500: $4,309,296

Where it came from

The Golden Butterfly is a hobbyist-research portfolio, not a book or a fund-company product. It was popularised by 'Tyler', a mechanical engineer who runs the Portfolio Charts website, a tool for comparing historical behaviour of many asset mixes. The Portfolio Charts page describes it as an extension of the Permanent Portfolio. The exact date of first publication was not found; the earliest dated source located is Tyler's post 'The Theory Behind the Golden Butterfly' of 18 April 2016.

In that post Tyler says he wrote it because the portfolio kept showing up near the top of the site's Portfolio Finder tool and readers were asking why. He admits the mix is unintuitive: only 40% in stocks and four holdings many investors dislike (gold, long Treasuries, short Treasuries, small-cap value).

The parent idea is Harry Browne's Permanent Portfolio. Browne (1933-2006), an American investment writer and 1996 and 2000 Libertarian presidential candidate, wrote 'You Can Profit from a Monetary Crisis' (1974) and later 'Fail-Safe Investing' (1999), and consulted for the Permanent Portfolio mutual fund. His design splits money equally among four assets, each tied to one economic condition: stocks for prosperity, long Treasuries for deflation, gold for inflation, cash/T-bills for recession. A key Browne notion is the 'firewall': a loss in one slice stays confined to that slice while another slice usually does well.

Tyler keeps the philosophy (hold volatile but uncorrelated assets, no forecasting, rebalance) but loosens the strict one-asset-one-condition reading: he treats gold as an imperfect inflation hedge valued mainly for its low correlation with stocks and bonds, and says assets can play several roles. The change from Browne is that the 25% stocks slice becomes two 20% slices (broad US stocks plus US small-cap value), cash becomes short-term Treasuries, and each of the five holdings gets 20%. Per Tyler this tilts the mix toward the 'prosperity' condition, the most common one.

Tyler himself calls the permanence of the small-cap value premium debatable and says the premium is not central to the design; he mentions that small-cap blend or broad international funds could stand in. He addresses the 'data mining' criticism by pointing to periods unfavourable to the mix (1970s rising rates, 1980s-90s gold slump, 2000s weak stocks) in which it still held up.

What is in it

US large-cap blend stocks20%
US small-cap value stocks20%
US long-term Treasury bonds20%
US short-term Treasury bonds20%occupies the cash/recession slot of the Permanent Portfolio
Global gold20%

Source of the shares: Portfolio Charts - Golden Butterfly Portfolio — portfoliocharts.com. Lists five equal 20% holdings and describes the mix as economic risk parity tilted to prosperity via small-cap value.

How we model it

US large companies (S&P 500)20%
US small value stocks20%
Long-term government bonds (20+ y)20%
Short-term government bonds20%
Gold20%

Direct one-to-one mapping. Short Treasuries mapped to bond_short (1-3 year); 'global gold' mapped to our gold series.

For a euro investor

The same portfolio bought with euros, without currency hedging: monthly returns converted at the end-of-month rate (German mark before 1999), inflation of the euro area. History in euros from 1968-04 to 2026-09.

Per year in euros8.5 %
After euro inflation5.6 %
Worst drop in euros−30.5 %
Worst year in euros−17.3 % (1969)
Safe withdrawal, 30 years, dollars5.61 % (1968-12)
Safe withdrawal, 30 years, euros4.17 % (1968-12)

The largest first-year withdrawal, then growing with inflation, that lasted 30 years from every monthly start. Test withdrawals for this portfolio →

How to build it with European funds

Examples of UCITS funds sold in the EU for each part of the portfolio. They track similar markets, not exactly the indices of our calculation.

PartShareExample funds (ISIN)
US large companies (S&P 500)20%iShares Core S&P 500 UCITS ETF USD (Acc) IE00B5BMR087
Vanguard S&P 500 UCITS ETF (USD) Distributing IE00B3XXRP09
US small value stocks20%SPDR MSCI USA Small Cap Value Weighted UCITS ETF IE00BSPLC413
Long-term government bonds (20+ y)20%iShares USD Treasury Bond 20+yr UCITS ETF USD (Dist) IE00BSKRJZ44
Short-term government bonds20%iShares USD Treasury Bond 1-3yr UCITS ETF (Dist) IE00B14X4S71
iShares Euro Government Bond 1-3yr UCITS ETF (Dist) IE00B14X4Q57
Gold20%Invesco Physical Gold ETC IE00B579F325
Xetra-Gold DE000A0S9GB0

These are examples, not recommendations. Check the fund's key information document, costs and taxes with your broker before buying. Names and ISINs checked on justETF on 4 November 2026; Udak receives nothing from these funds.

The idea

Cover every economic condition (growth, recession, inflation, deflation) with volatile uncorrelated assets rather than forecast; rebalancing harvests the volatility. The small-cap value slice adds growth potential relative to the Permanent Portfolio.

How people buy it

Portfolio Charts does not name funds. A typical DIY build uses a total/large US stock index fund or ETF, a US small-cap value ETF, a long Treasury ETF, a short Treasury ETF and a physical gold ETF; fund names are not given by the primary source (not verified).

Rebalancing as published

Tyler describes rebalancing as selling what has risen and buying what has fallen and credits it with generating returns from volatility; no specific schedule or threshold was found in the post read.

Variants

Criticism

Through the eras

EraDatesTotalPer yearWorst dropS&P 500
The Great Inflation (stagflation)1969-01 – 1982-07+288.4 %+10.5 %−17.5 %+84.6 %
1973-74 oil shock and bear market1973-01 – 1974-12+10.9 %+5.3 %−13.3 %−41.7 %
Second oil shock and the Volcker disinflation1979-01 – 1982-08+69.7 %+15.5 %−12.7 %+59.2 %
Great bull market in stocks and bonds1982-08 – 1999-12+639.3 %+12.2 %−13.0 %+2060.4 %
Black Monday1987-08 – 1987-12−8.0 %—−13.0 %−21.8 %
Savings-and-loan crisis and 1990 recession1990-07 – 1991-03+6.8 %—−6.7 %+7.4 %
1994 bond market massacre1994-02 – 1994-12−4.0 %—−5.4 %−3.2 %
Asian and Russian financial crises1997-07 – 1998-10+12.1 %+9.0 %−8.2 %+22.4 %
Dot-com bubble and crash2000-03 – 2002-10+7.8 %+2.8 %−6.4 %−37.2 %
Recovery and housing boom2002-11 – 2007-09+81.8 %+12.9 %−5.1 %+97.0 %
Global financial crisis2007-10 – 2009-03−9.9 %−6.7 %−16.0 %−44.7 %
The decade after the crisis2009-04 – 2019-12+153.6 %+9.0 %−6.5 %+411.2 %
Fourth-quarter 2018 sell-off2018-09 – 2018-12−6.3 %—−6.3 %−14.4 %
Covid crash and stimulus boom2020-02 – 2021-12+26.5 %+13.1 %−7.2 %+53.6 %
Inflation shock and rate hikes2022-01 – 2022-12−12.2 %−12.2 %−16.7 %−19.9 %

Calendar years

-12%37%1969: -10.4%1970: +7.7%19701971: +13.1%1972: +16.3%1973: +3.7%1974: +7.0%1975: +17.6%1976: +22.3%1977: +8.2%1978: +12.4%1979: +37.5%1980: +15.7%19801981: +0.6%1982: +27.7%1983: +13.2%1984: +4.6%1985: +22.7%1986: +18.2%1987: +4.6%1988: +9.8%1989: +15.0%1990: -4.5%19901991: +20.4%1992: +10.4%1993: +14.9%1994: -1.6%1995: +23.4%1996: +9.0%1997: +14.5%1998: +8.7%1999: +4.6%2000: +7.7%20002001: +5.2%2002: +3.5%2003: +23.6%2004: +9.1%2005: +8.9%2006: +12.9%2007: +8.1%2008: -4.6%2009: +12.3%2010: +16.7%20102011: +7.0%2012: +9.4%2013: +7.3%2014: +7.9%2015: -4.4%2016: +11.8%2017: +10.6%2018: -4.1%2019: +16.2%2020: +14.9%20202021: +11.1%2022: -12.2%2023: +12.0%2024: +11.8%2025: +20.6%

Any N-year period

Any N-year periodWorst10 % worse thanMedian10 % better thanBest
1 y (691)−15.9 %−0.7 %+10.2 %+22.1 %+48.9 %
3 y (667)−0.1 %+4.8 %+10.1 %+15.9 %+23.5 %
5 y (643)+3.8 %+5.9 %+9.6 %+15.7 %+20.5 %
10 y (583)+4.8 %+7.1 %+9.8 %+15.0 %+16.9 %
15 y (523)+6.1 %+7.7 %+9.7 %+13.9 %+15.4 %
20 y (463)+6.9 %+7.9 %+9.8 %+13.1 %+13.9 %
30 y (343)+7.6 %+8.4 %+10.1 %+12.0 %+12.7 %

How it behaved in history

Published results (by others)

What we could not verify

Sources

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Calculated on historical data. Past results do not predict the future. Models before the 1990s use stand-ins for classes that had no index yet; fees, taxes and fund costs are not included. This is mathematics, not an investment recommendation.