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Dalio All Seasons

Ray Dalio's All Seasons (the Tony Robbins / 'All Weather' retail portfolio)

Ray Dalio (Bridgewater Associates), as presented by Tony Robbins · 2014 (Robbins, Money: Master the Game); the underlying Bridgewater All Weather strategy dates from 1996

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+2.4 %
Last 12 months+4.4 %
Last 5 years, per year+2.9 %
Now below the peak−3.0 %
Place by 12 months56 / 60

Our calculation, 1984-02 – 2026-09

Per year8.9 %
Real (after inflation)5.9 %
Volatility7.9 %
Worst drop−21.7 %
Worst year−19.6 % (2022)
Best year29.8 %
Worst 12 months−21.0 %
Positive years88 %

Growth of $10,000

$9,248$24,337$64,045$168,538$443,518$1,167,1441990200020102020
Dalio All Seasons: $386,657S&P 500: $1,163,109

Where it came from

The retail portfolio known as 'All Seasons' (also 'All Weather') reached the public in 2014 in Tony Robbins' book 'Money: Master the Game'. Robbins interviewed Ray Dalio, founder of Bridgewater Associates, and the book presented a simple portfolio that Dalio described as a version of his principles that an ordinary investor could hold using index funds. The allocation was 30% stocks, 40% long-term Treasuries, 15% intermediate Treasuries, 7.5% gold and 7.5% commodities. Dalio did not publish this exact mix in a paper of his own; the public record of it is the book, as repeated and analysed by bloggers (A Wealth of Common Sense, Rational Reminder, 2014).

The idea behind it comes from Bridgewater's All Weather strategy. According to Bridgewater's own history ('The All Weather Story'), the roots go back to 1971, when Dalio, then a young clerk on the New York Stock Exchange, misjudged how markets would react to the end of dollar convertibility to gold. That experience pushed him to study recurring cause-and-effect patterns across economic history instead of trusting intuition. Bridgewater was founded in 1975 as a risk-consulting firm, and from 1987 managed assets for the World Bank pension fund. A 1990 memo to a pension chief argued that asset classes have 'environmental biases' and that low-risk assets such as long bonds can be scaled up to match the risk of equities. Bob Prince, a Bridgewater co-chief investment officer, recalled that Dalio proposed the All Weather idea around 1988-1989 (reported by Business Insider from a Bridgewater video).

The framework divides economic conditions into four environments: growth rising or falling, and inflation rising or falling, each relative to what markets expect. All Weather aims to hold an equal amount of risk for each environment, so that the portfolio does not need a forecast. Because bonds are far less volatile than equities, the real strategy scales low-risk assets up with leverage so that each building block contributes similar risk. Bridgewater says All Weather was formalised in 1996 as a pilot for Dalio's family trust, not initially as a product. In the early 2000s, after the dot-com crash, outside pension clients began adopting it (the Bridgewater history names a US pension CIO who allocated 200 million dollars).

The term 'risk parity' did not come from Bridgewater. Edward Qian of PanAgora Asset Management used it in a 2005 white paper, and the label was applied to the whole category in 2008, after the financial crisis drew attention to the approach (Wikipedia, 'Risk parity'; Bridgewater history). Bridgewater is credited with the first risk-parity product.

The Robbins version differs from the real All Weather in important ways. It uses no leverage, so total risk is dominated by the 55% in bonds and by stocks rather than being equalised across the four environments. It is a fixed mix of five index-type holdings rebalanced by the investor, whereas Bridgewater's fund uses futures, swaps, inflation-linked bonds, global markets and a risk model, and runs at a risk target that is set separately. Commentators noted that the Robbins mix is more like a variation of Harry Browne's Permanent Portfolio than a copy of All Weather. The allocation was also back-tested over the period 1984-2013, which coincided with a 30-year bond bull market, so the headline numbers in the book flatter the mix (Carlson, Rational Reminder).

What is in it

Stocks (S&P 500 type index fund)30%
Long-term Treasuries (20-25 year)40%
Intermediate Treasuries (7-10 year)15%
Gold7.5%
Commodities7.5%

Source of the shares: A Wealth of Common Sense - Back-Testing The Tony Robbins All-Weather Portfolio — awealthofcommonsense.com. Gives the Robbins mix as 30/40/15/7.5/7.5 and the author's reported 1984-2013 figures. The Rational Reminder post confirms the same weights and maps them to S&P 500, 20-25 year and 7-10 year Treasuries, gold and commodities. The book itself was not read.

How we model it

Long-term government bonds (20+ y)40%
US large companies (S&P 500)30%
Intermediate government bonds (10 y)15%
Gold7.5%
Commodities7.5%

Direct match to our classes: stocks = S&P 500, long bonds = 20+ year Treasuries, intermediate = 7-10 year Treasuries. Gold and commodities map one-to-one. No leverage is applied (as in the retail version).

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 1984-02 to 2026-09.

Per year in euros7.7 %
After euro inflation5.4 %
Worst drop in euros−28.7 %
Worst year in euros−16.8 % (1987)
Safe withdrawal, 30 years, dollars6.81 % (1987-03)
Safe withdrawal, 30 years, euros5.42 % (1985-06)

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)
Long-term government bonds (20+ y)40%iShares USD Treasury Bond 20+yr UCITS ETF USD (Dist) IE00BSKRJZ44
US large companies (S&P 500)30%iShares Core S&P 500 UCITS ETF USD (Acc) IE00B5BMR087
Vanguard S&P 500 UCITS ETF (USD) Distributing IE00B3XXRP09
Intermediate government bonds (10 y)15%iShares USD Treasury Bond 7-10yr UCITS ETF (Dist) IE00B1FZS798
Gold7.5%Invesco Physical Gold ETC IE00B579F325
Xetra-Gold DE000A0S9GB0
Commodities7.5%iShares Diversified Commodity Swap UCITS ETF IE00BDFL4P12

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

Dalio's idea is that no one can forecast growth and inflation, so the portfolio should hold assets that each do well in one of four environments (growth up or down, inflation up or down) and balance the risk between them. In the retail version stocks serve rising growth, long and intermediate Treasuries serve falling growth and falling inflation, and gold and commodities serve rising inflation. Dalio's own comment in the book was that this should hold up in any season.

How people buy it

Retail ETF mapping from A Wealth of Common Sense / Rational Reminder style write-ups: a total stock or S&P 500 fund (for example VTI or VOO) for 30%, a long Treasury fund (for example VGLT or TLT) for 40%, an intermediate Treasury fund (for example IEF or BIV) for 15%, a gold ETF (for example GLD) for 7.5%, and a broad commodity fund (for example DBC or USCI) for 7.5%. These fund names are common examples from third-party sources, not recommendations from Dalio.

Rebalancing as published

Not specified in the sources found. Third-party write-ups commonly assume periodic (annual) rebalancing; Robbins' text on frequency was not verified.

Variants

Criticism

Through the eras

EraDatesTotalPer yearWorst dropS&P 500
Black Monday1987-08 – 1987-12−5.7 %—−9.8 %−21.8 %
Savings-and-loan crisis and 1990 recession1990-07 – 1991-03+8.4 %—−3.6 %+7.4 %
1994 bond market massacre1994-02 – 1994-12−6.0 %—−8.0 %−3.2 %
Asian and Russian financial crises1997-07 – 1998-10+20.3 %+14.8 %−4.1 %+22.4 %
Dot-com bubble and crash2000-03 – 2002-10+7.7 %+2.8 %−5.1 %−37.2 %
Recovery and housing boom2002-11 – 2007-09+65.1 %+10.7 %−5.3 %+97.0 %
Global financial crisis2007-10 – 2009-03−0.2 %−0.1 %−12.1 %−44.7 %
The decade after the crisis2009-04 – 2019-12+143.6 %+8.6 %−6.5 %+411.2 %
Fourth-quarter 2018 sell-off2018-09 – 2018-12−4.9 %—−4.9 %−14.4 %
Covid crash and stimulus boom2020-02 – 2021-12+21.6 %+10.8 %−4.6 %+53.6 %
Inflation shock and rate hikes2022-01 – 2022-12−19.6 %−19.6 %−21.7 %−19.9 %

Calendar years

-20%30%1985: +28.7%1986: +19.9%1987: +2.0%1988: +10.4%1989: +20.9%1990: +2.1%19901991: +19.5%1992: +7.2%1993: +13.0%1994: -3.3%1995: +29.8%1996: +6.3%1997: +15.2%1998: +13.9%1999: +6.1%2000: +10.3%20002001: -3.3%2002: +8.0%2003: +12.5%2004: +10.0%2005: +10.9%2006: +7.3%2007: +13.2%2008: +3.5%2009: +3.9%2010: +13.8%20102011: +16.0%2012: +6.8%2013: +1.7%2014: +13.0%2015: -3.2%2016: +7.0%2017: +12.5%2018: -3.5%2019: +18.9%2020: +17.5%20202021: +6.8%2022: -19.6%2023: +10.2%2024: +7.5%2025: +13.5%

Any N-year period

Any N-year periodWorst10 % worse thanMedian10 % better thanBest
1 y (501)−21.0 %−0.4 %+10.0 %+18.4 %+42.6 %
3 y (477)−3.6 %+4.1 %+9.1 %+13.7 %+23.7 %
5 y (453)+1.9 %+4.7 %+8.7 %+12.3 %+17.8 %
10 y (393)+4.1 %+5.5 %+8.8 %+11.7 %+13.2 %
15 y (333)+5.8 %+6.6 %+8.6 %+10.2 %+13.0 %
20 y (273)+6.6 %+7.1 %+8.9 %+10.1 %+11.5 %
30 y (153)+7.2 %+7.7 %+8.9 %+10.0 %+10.7 %

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.