Side-by-side comparison

Compare investment strategies

S&P 500 Buy and Hold (VOO) vs Bogleheads Three-Fund Portfolio

At a glance

The headline numbers each source publishes, lined up. Hover a number for its exact definition.

These strategies report performance on different (OOS, Composite). Live and composite results come from real accounts; out-of-sample, hypothetical and model results don't. Compare return and risk with care.

17.3%Best

8.3%

19.5%

—

15.6%

9.8%Best

1.22Best

1.04

-18.7%

-14.1%Best

Fee

—

1.00%

Each source uses its own scale

—

2.58(0-5 (Quantbase))

Inception

2024-05-23

2021-09-19

Holdings

60%

82%Best

Growth of $10,000

Each line starts at $10,000 on the first date all of them share, using the strategy's own published history. Bases are labelled and never mixed within a line.

Bogleheads Three-Fund PortfolioCompositeup 48.3%
S&P 500 ETFup 79.1%

No published history to chart: S&P 500 Buy and Hold (VOO).

What they hold

The latest holdings each source publishes. Simulated holdings come from a backtest; a stated mix is a target from the strategy's documents.

as of 2026-10-19

as of 2026-08-22

Asset mix

ETFs 100%

Top 5 holdings

VOO100.0%

VTI60.0%
BND20.0%
VEU20.0%

Overlap

The share of portfolio weight two strategies hold in common (strategies with published holdings).

	S&P 500 Buy and Hold (VOO)	Bogleheads Three-Fund Portfolio
S&P 500 Buy and Hold (VOO)		0%
Bogleheads Three-Fund Portfolio	0%

Every published figureShow 67 attributes

Each row is one exact variant (window and basis), so a value appears only where a source publishes it.

Classification

AI categories (Composer)

buy-and-hold, long-only, passive, s&p 500, single-etf, us large-cap stocks

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Asset classes / instruments

equities

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Market-relative

Alpha vs SPY, out-of-sample (out-of-sample)

0.01

—

Beta vs SPY, out-of-sample (out-of-sample)

0.97

—

Correlation (R) vs SPY, out-of-sample (out-of-sample)

1.00

—

Correlation to SPY (full history) (client composite)

—

0.98

Correlation to SPY (Quantbase data field) (basis not stated)

—

0.98

Returns

Annual return (Quantbase data field) (basis not stated)

—

9.76%

Backtest end date (Quantbase data field)

—

2022-12-01

Backtest length

4,051

—

Out-of-sample length

602

—

Return since chart start (cumulative) (client composite)

—

55.32%

Return, backtest period (annualized) (backtest)

14.88%

—

Return, backtest period (cumulative) (backtest)

830.73%

—

Return, out-of-sample period (annualized) (out-of-sample)

19.54%

—

Return, out-of-sample period (cumulative) (out-of-sample)

52.62%

—

Return, rolling 1 year (client composite)

—

8.32%

Return, trailing 1 day (out-of-sample)

-1.10%

—

Return, trailing 1 month (out-of-sample)

2.36%

—

Return, trailing 1 week (out-of-sample)

-1.47%

—

Return, trailing 1 year (backtest)

15.48%

—

Return, trailing 1 year (out-of-sample)

17.30%

—

Return, trailing 2 weeks (out-of-sample)

-1.08%

—

Return, trailing 3 months (out-of-sample)

3.87%

—

SPY annualized return over the backtest window (backtest)

14.80%

—

Backtest

Backtest final value (from $10,000)

$93k

—

Backtest regulatory fees

—

Backtest slippage cost

—

Cost & access

Brokerage / custodian

—

Alpaca

Management / advisory fee

—

1.00%

Risk metrics

Calmar ratio, backtest period (backtest)

0.44

—

Calmar ratio, out-of-sample period (out-of-sample)

1.05

—

Daily volatility over the chart range (client composite)

—

0.62%

Max drawdown (Quantbase data field) (basis not stated)

—

-16.75%

Max drawdown over the chart range (client composite)

—

-14.14%

Maximum drawdown, backtest period (backtest)

-33.99%

—

Maximum drawdown, out-of-sample period (out-of-sample)

-18.69%

—

Monthly volatility over the chart range (client composite)

—

2.90%

Sharpe ratio (Quantbase data field) (basis not stated)

—

2.69

Sharpe ratio from daily returns over the chart range (client composite)

—

1.04

Sharpe ratio, backtest period (backtest)

0.90

—

Sharpe ratio, out-of-sample period (out-of-sample)

1.22

—

Sortino ratio, backtest period (backtest)

1.28

—

Sortino ratio, out-of-sample period (out-of-sample)

1.73

—

Standard deviation, backtest period (backtest)

16.94%

—

Standard deviation, out-of-sample period (out-of-sample)

15.60%

—

Volatility (Quantbase data field) (basis not stated)

—

0.03%

Volatility over the chart range, annualized from daily (×√252) (client composite)

—

9.84%

Quality

Community review status

ACTIVE

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Holdings

Concentration (Herfindahl index, out-of-sample, as Composer reports it)

—

Trading activity

Daily win rate, backtest period (backtest)

54.75%

—

Daily win rate, out-of-sample period (out-of-sample)

56.48%

—

Suitability

Experience minimum: bonds

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Experience minimum: crypto

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Experience minimum: equity

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Experience minimum: leverage

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Experience minimum: options

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Construction

Last rebalance date

—

2026-08-22

Logic complexity (node count)

—

Rebalance corridor width

10.00%

—

Rebalance frequency

none

quarterly

Rebalancing (methodology text)

—

Quarterly

Disclosure

Metrics calculated through

—

2026-10-05

Risk score

Qualitative risk score (Quantbase data field)

—

2.25

Risk score 0-5 (Quantbase)

—

2.58

Popularity

Remixes (copies)

—

Watchers

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S&P 500 Buy and Hold (VOO)

Bogleheads Three-Fund Portfolio

Compare investment strategies

At a glance

Growth of $10,000

What they say: stated rules

What they hold

Overlap

Do the holdings back the rules?

Costs, access & sources

Compare investment strategies

At a glance

Growth of $10,000

What they say: stated rules

What they hold

Overlap

Do the holdings back the rules?

Costs, access & sources