A backtest simulates how a portfolio would have performed over a historical period, using real market data. It doesn't predict the future, but it helps you understand the risk and return characteristics of different allocation strategies before committing real capital. For a deeper dive into portfolio backtesting methodology, Portfolio Visualizer is another excellent tool worth exploring alongside this one.
This tool lets you compare your portfolio against well-known benchmark strategies, so you can see whether your choices are adding value — or whether a simpler allocation would have done just as well (or better) with less risk.
Past performance doesn't guarantee future results — but past behavior (how a portfolio responds to recessions, rate hikes, and rallies) is a useful guide for how it's likely to behave in similar future conditions.
Every portfolio is a blend of asset classes, each serving a different role. The right mix depends on your goals, time horizon, and tolerance for seeing your balance drop temporarily.
The primary engine for long-term growth. Over 10+ year periods, U.S. large-cap equities (represented by SPY in this tool) have historically delivered 8–12% annualized returns — but with significant drawdowns along the way. The S&P 500 has dropped 30%+ from peak to trough multiple times in the last two decades alone.
Traditionally the "ballast" in a portfolio — lower returns, but lower volatility and often (though not always) inversely correlated with stocks. Long-term treasuries (TLT) are more sensitive to interest rates and more volatile than short-term bonds (SHY, IEI). In a rising-rate environment like 2022, bonds can fall alongside stocks, reducing their diversification benefit.
Gold (GLD), broad commodities (DBC, PDBC), and crypto (IBIT/GBTC) can provide diversification from traditional stocks and bonds, but they tend to be more volatile individually and may go through extended periods of underperformance. Their value is in low correlation — they often zig when stocks zag.
This tool includes Cash as a holding option. Cash earns 0% in the simulation (a simplification — in practice, money market funds or T-bills would earn a small return). Holding some Cash reduces overall portfolio volatility and provides a "dry powder" buffer, but drags on long-term returns through inflation erosion.
Your time horizon — how long until you need the money — is the single most important factor in determining what kind of portfolio is appropriate. It dictates how much short-term volatility you can afford to absorb in exchange for higher long-term returns.
If you need the capital within a few years (e.g., buying a home, a near-term retirement), preservation matters more than growth. Emphasize short-duration bonds (SHY, IEI), cash equivalents, and stable-value funds. Equity exposure should be minimal — a 20% stock decline takes years to recover, and you may not have years. Use this tool with a 10-year lookback to see how much a conservative mix would have returned after accounting for the drawdowns you'd need to survive.
Enough time to ride out a typical market correction (which historically recovers within 1–3 years) but not enough to guarantee recovery from a major bear market. A balanced approach — 40–60% equities with the rest in bonds and diversifiers — gives you meaningful growth potential with manageable risk. The 60/40 ETF and Dalio All Weather benchmarks are natural comparison points for this horizon.
Time is your biggest advantage. Over 10+ year periods, equities have historically outperformed every other asset class, and even severe bear markets have fully recovered. A higher equity allocation (70–90%) is generally appropriate, with bonds and alternatives serving as rebalancing buffers rather than core return drivers. Compare against SPY Only and Growth ETFs benchmarks to see if your diversification is adding risk-adjusted value or just diluting returns.
Run the same portfolio with both the 10-year and 15-year lookback. If the 15-year results are materially worse (because they include a crisis the 10-year window missed), ask yourself: is your actual time horizon long enough to have sat through that drawdown and recovered? If not, reduce equity exposure until the worst-case drawdown is something you can tolerate without selling.
Each metric tells you something different about a portfolio. No single number captures the full picture — look at them together. For additional context on how institutional investors use these metrics, see CION's overview of key portfolio benchmark metrics.
A risk profile is a structured way to match a portfolio's aggressiveness to an investor's circumstances — their time horizon, income needs, emotional tolerance for losses, and financial capacity to absorb them. Here's how common profiles translate into allocation ranges:
Equities 20–40%, bonds 40–60%, alternatives/cash 10–20%. Prioritizes capital preservation and income. Drawdowns beyond -10% to -15% would be uncomfortable. Best suited for short time horizons, near-retirees, or anyone who can't afford to see their balance drop significantly. Compare against the Dalio All Weather or 60/40 ETF benchmarks — a conservative portfolio should have lower volatility and shallower drawdowns than either.
Equities 50–65%, bonds 25–35%, alternatives/cash 5–15%. The classic "balanced" approach — willing to accept some volatility for better long-term growth. Drawdowns of -15% to -25% are tolerable. The 60/40 ETF benchmark is the natural comparison point. Most retirement-age target-date funds land in this range.
Equities 70–90%, bonds 5–15%, alternatives 5–15%. Growth-first, with bonds serving mainly as a rebalancing buffer. Drawdowns of -25% to -35% are accepted as the cost of higher long-term returns. Compare against SPY Only and Growth ETFs — if you're taking on this much risk, make sure you're actually being compensated with higher Sharpe/Sortino ratios than the simpler benchmarks.
Run your intended allocation, then look at the Max DD (12-Mo Rolling) column. That's roughly the worst single-year outcome you should expect to repeat at some point. If that number makes you uncomfortable, dial back the equity weight until the drawdown falls to a level you'd actually sit through without panic-selling.
These terms describe how your portfolio's allocation to a particular asset class compares to a reference benchmark — typically a balanced index or your strategic (long-term) target allocation.
Your allocation to an asset class matches your strategic target. If your plan calls for 60% equities and you hold 60%, you're neutral on equities. Neutral is the default — it's the allocation you'd hold if you had no particular view on which asset class is likely to outperform in the near term.
You hold MORE of an asset class than your strategic target. If your plan calls for 60% equities and you hold 70%, you're 10% overweight equities. This is a tactical bet that equities will outperform other asset classes over the near term. It increases your portfolio's sensitivity to that asset class — amplifying both the upside if you're right and the downside if you're wrong.
You hold LESS of an asset class than your strategic target. This is a defensive tilt — you're giving up some potential upside in exchange for reduced exposure to a risk you're concerned about (e.g., underweighting equities ahead of a potential recession).
Run your strategic (neutral) target allocation first and record the results. Then adjust one asset class at a time — shift 5–10% from one holding to another — and re-run the backtest. Compare the Sharpe ratios and drawdowns. If the overweight version has a higher Sharpe AND a shallower drawdown, the tilt is adding value. If it only increases returns with proportionally higher volatility, the risk-adjusted picture hasn't actually improved — you're just taking more risk for more return.
This tool rebalances quarterly, which automatically pulls tactical drifts back toward target weights. In practice, if you intentionally overweight equities, quarterly rebalancing will trim that overweight every 13 weeks. This is the tension between tactical positioning and disciplined rebalancing — and it's why even small deliberate overweights require conviction, since the mechanism is working against you every quarter.
Each benchmark represents a different investment philosophy. Comparing your portfolio to these helps you understand what style you're closest to and what trade-offs you're making. For a broader introduction to what benchmarks are and why they matter, see Fidelity's guide to investment benchmarks.
Don't just throw tickers at the wall. Start with a question: "Would adding international exposure have helped?", "Is my bond allocation actually reducing risk?", or "How does my current 401(k) mix compare to just buying SPY?"
Toggle on the benchmarks most relevant to your question. If you're building an aggressive growth portfolio, the Growth ETFs benchmark is your natural comparison. If you're building a retirement-income portfolio, the Dalio All Weather or 60/40 benchmark matters more than SPY.
The portfolio with the highest return isn't automatically the best — it might also have the deepest drawdowns. A portfolio that returned 12% CAGR with a -25% max drawdown is arguably "better" for most people than one that returned 14% CAGR with a -40% drawdown, because the second one is more likely to trigger panic selling at exactly the wrong time.
These tell you whether the extra return from a riskier portfolio is "worth it" on a risk-adjusted basis. If two portfolios have similar Sharpe ratios but one has much higher returns and much higher volatility, they're essentially the same "quality" of portfolio — one is just a levered version of the other.
Adjust the percentage sliders to see how sensitive results are to small changes. If shifting 10% from bonds to equities dramatically changes the risk profile, the portfolio is on an inflection point and small allocation decisions matter. If it barely moves the needle, the portfolio is robust to that particular allocation choice.
The 10-year window captures mostly the post-2016 bull market (with the COVID crash). The 15-year window includes the aftermath of the 2008 financial crisis — a much more severe stress test. If a portfolio looks great over 10 years but mediocre over 15, its strong results may be period-specific rather than structural.
This tool models a disciplined investor who rebalances quarterly and never panic-sells. Real-world returns are often worse because investors tend to sell after large drops and buy after rallies — the opposite of what rebalancing does. The behavioral discipline to stick with a plan through drawdowns is often worth more than the "optimal" allocation on paper.
Checking your portfolio too often leads to overtrading and emotional decision-making. Checking too rarely means you miss opportunities to rebalance or adjust to genuinely changed circumstances. Here's a practical cadence:
Glance at markets to stay informed, but resist the urge to change anything. Weekly noise is just that — noise. A portfolio that drops 3% in a week might be up 2% the following week. No allocation decision should be driven by a single week's performance.
This is the cadence this tool models, and it's a good rhythm for most investors. Every quarter, check whether your allocation has drifted meaningfully from target (e.g., equities have rallied and are now 70% of a portfolio that's supposed to be 60%). If so, rebalance back to target weights. This is also a good time to run an updated backtest to see how your portfolio's risk characteristics are evolving.
Once a year, reassess whether your strategic target allocation itself is still appropriate. Has your time horizon changed (closer to retirement, new financial goals)? Has your risk tolerance changed (a bear market taught you that -30% drawdowns aren't actually tolerable)? Have your income needs changed? This is when you might adjust the target weights themselves — not just rebalance back to them.
Major life events — job change, inheritance, home purchase, retirement, health issue — are legitimate reasons to revisit your allocation outside the regular cadence. Market events generally are not, unless they've fundamentally changed the economic outlook (e.g., a regime shift in monetary policy, a structural change to an asset class you hold).
During your quarterly or annual review, re-run your current allocation in this tool and compare it to the benchmarks. Pay attention to how the metrics have shifted — is your Sharpe ratio deteriorating? Has Beta crept up because equity drift went uncorrected? Is the rolling drawdown widening? These are objective signals that something may need adjusting, more reliable than gut feelings about where markets are headed.
These external resources provide additional depth on the concepts covered in this guide: