Kistack Blog KR Start backtest

What the all-weather portfolio is — built for every season

Built like a tent meant to hold up in any weather. Whatever market regime arrives, the mix keeps the curve from buckling. Classic composition explained.


All-weather portfolio — matte 3D glass umbrella or tent shape centered with four weather icons and floating chart and UI cards on a black canvas in the Innovation Forest tone

Once you start studying investing, the name "all-weather portfolio" tends to surface somewhere. An asset-allocation idea built by hedge fund manager Ray Dalio. The name carries the idea inside it. Like a tent built to hold up in any weather, the mix is designed to keep the curve from buckling whatever market regime arrives. Here's the classic composition and the thinking behind it.


Where the idea came from

The framework was first formalized at Bridgewater, Ray Dalio's hedge fund. He shaped it into a form retail investors could follow and made it public, and that's how it became known as the all-weather portfolio.

The core idea is straightforward. The market sits in one of four macro regimes.

① Growth ↑ Inflation ↑
Strong economy, rising prices — commodities and emerging markets do well
② Growth ↑ Inflation ↓
Strong economy, stable prices — equities shine the most
③ Growth ↓ Inflation ↑
Weak economy with rising prices (stagflation) — gold and commodities provide protection
④ Growth ↓ Inflation ↓
Recession with stable prices — long-term Treasuries act as the safety net

No one knows which regime is coming next. So the all-weather idea is to pre-blend assets that shine in each regime — one side holds up when another dims.


Classic composition — five asset classes

The classic all-weather composition mixes five asset classes at set ratios.

  • Equities (~30%) — drives returns during growth phases
  • Long-term Treasuries (~40%) — safety net during recessions and rate-cut cycles
  • Intermediate Treasuries (~15%) — volatility buffer
  • Gold (~7.5%) — protection during inflation and crises
  • Commodities (~7.5%) — protection during inflationary periods

Ratios vary slightly across sources (equity at 30 or 40, bond weights tuned differently). The core point is that equity weight is smaller than retail investors expect and bond weight is larger. "Only 30% in equities?" is the natural first reaction. That's exactly the all-weather signature.

It isn't designed to maximize return. It's designed to "keep the curve from falling into a deep valley regardless of regime." In simulations, CAGR typically comes out lower than a pure equity portfolio, but MDD comes out much shallower.


Through the diet analogy

Compare it to a balanced meal plan and the feel comes through.

A 100% equity portfolio is an all-meat diet. The calories (returns) run highest, but once you get sick (market shock), recovery takes a long time. It shines in strong markets and falls deeply in difficult ones.

An all-weather portfolio is a meal with rice, soup, sides, and fruit. Lower calories per meal, but it digests under any condition. Less flashy than 100% equity in strong markets, but avoids the deep valley in difficult ones.

The aim isn't the flashiest result — it's a result that holds up across regimes. For lifelong investing, avoiding one deep valley often leads to a better long-term outcome.

All-weather diversification — matte 3D glass donut chart with five asset classes balanced in color segments, floating chart panels, UI cards, and glossy spheres on a black canvas in the Innovation Forest tone


Strengths and limits

The strength is clear. MDD runs shallow and recovery comes quickly. Through the 2008 financial crisis, the 2020 COVID shock, and the 2022 inflation stretch, the all-weather curve runs calmer than pure equity. A structure that lets you stay in for the long run with less weight on your mind.

The limits matter too. Returns trail pure equity in strong upward markets. During stretches like 2010 to 2021, SPY or QQQ outshine the all-weather curve. You wouldn't lose, but you'd watch peers post bigger numbers.

And 2022 showed that diversification doesn't always hold. Stocks and long-term Treasuries usually offset each other, but that year both fell together. Diversification doesn't work perfectly across every regime — worth knowing going in.


Looking at it directly

Building the exact classic composition needs long-term Treasuries, gold, and commodities, and the tool supports a range of ETFs across categories. Check which asset lineup is available in the input screen directly — that's the most accurate way.

For a first feel, a simpler diversified mix is a good starting point. A classic balanced setup like 60% equity + 40% bonds, built with two assets, simulated against 100% equity, shows clearly how MDD shallows out through diversification. From there, you can adjust weights and assets toward your own situation.

Including difficult stretches like 2008, 2020, and 2022 in the period makes the diversification effect most visible. Including only strong markets makes pure equity look flashier.


One thing worth keeping in mind

The all-weather portfolio is something to treat as "here's a way of thinking," not "buy this." Age, asset size, investment horizon, and tolerance for psychological weight differ across people — the 30/40/15/7.5/7.5 ratios may or may not fit your own situation.

The results are simulations built from past market data. Real accounts include trading fees, taxes, and slippage (small differences in execution price), which aren't reflected here. Under the same conditions, the actual return can come out lower than the displayed value.

Past resilience doesn't promise future resilience. Asset correlations shift across regimes, and the long-term character of an asset class can change. Adjust ratios and assets to your own situation and run the simulation directly — that's the natural flow.


  • This information is not investment advice.
  • Past performance does not guarantee future results.
  • Backtest results are simulations and may differ from actual trading outcomes.

Kistack is an information service designed to help users review market data independently and form their own judgments. These backtests are historical simulations based on public market data and do not guarantee future investment returns. Past performance is not indicative of future results. Trading costs such as fees, taxes, and slippage are not reflected in simulations. Data is provided by Kistack; decisions are made by users.

This information is provided for educational and informational purposes only and does not constitute investment advice within the meaning of the Investment Advisers Act of 1940 (IAA) §206. Kistack is not a registered investment adviser and does not provide individualized buy or sell recommendations.

All performance figures shown are historical simulations. Disclosures regarding past performance and risk are presented in a manner intended to be fair, balanced, and not misleading, consistent with FINRA Communications Rule 2210. No statement on this site is intended to omit material facts or to mislead readers under SEC Rule 10b-5 of the Securities Exchange Act of 1934.