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LETF Baseline: SSO / ZROZ / GLD

A popular 2x leveraged static portfolio: 50% SSO (2x S&P 500), 25% ZROZ (extended-duration Treasuries), 25% GLD (gold). Backtest max drawdown: -50.0%.

Research and methodology

A popular 2x leveraged static portfolio: 50% SSO (2x S&P 500), 25% ZROZ (extended-duration Treasuries), 25% GLD (gold). Backtest max drawdown: -50.0%. This is a fixed-allocation portfolio. BestFolio supplies the public rule or approach and backtest context; current signals, allocations, and paid interactive data remain restricted to Pro access. Users review the published signal and place any resulting trades in their own brokerage. Displayed returns remain hypothetical and do not represent a customer's brokerage record. The dates below identify the available data and the next scheduled review.

Cadence:
Quarterly
Data through:
Backtest data through 2026-09-18; latest signal date not currently published.
History boundary:
Backtest simulation only; no live publication yet
Published result:
Engine daily-reset-v1, data version e0f94849, published 2026-09-10
Rule / approach
A popular 2x leveraged static portfolio: 50% SSO (2x S&P 500), 25% ZROZ (extended-duration Treasuries), 25% GLD (gold).
BestFolio supplies
The quarterly signal email and this strategy page; current signals and email alerts require Pro access.
Customer action
Trade date not currently published. Review the published signal before placing any trades in your own brokerage.
Costs and exclusions
Backtests are net of a modeled one-way transaction cost (10 bps, scaled up to 3x under stress); taxes, fund-expense drift, or market impact are not modeled. No tax, no slippage beyond the stated cost. Methodology limitations
Freshness
Signal data cutoff not currently published. Backtest data through 2026-09-18; latest signal date not currently published.
Next expected action
Next review not currently published.

Is LETF Baseline: SSO / ZROZ / GLD still working in 2026?

LETF Baseline: SSO / ZROZ / GLD returned 17.28% over the trailing 12 months and 94.86% over 36 months through 2026-09-18, compared with a full-backtest annualized return of 12.16%. Its full-backtest maximum drawdown was -50.01%. The full sample contains 10244 daily NAV observations from 1986-06-30. These are model results, not investor account returns or a promise. Recent returns do not establish that the strategy will keep working.

SSO / ZROZ / GLD (50/25/25), USD model NAV. Trailing returns are cumulative; CAGR is annualized. All drawdowns use daily closes.
PeriodReturnCAGRMax drawdownObservationsDates
Trailing 12 months17.28%Not annualized-13.11%2522025-09-18 to 2026-09-18
Trailing 36 months94.86%Not annualized-18.66%7542023-09-18 to 2026-09-18
Full backtest9998.21%12.16%-50.01%102441986-06-30 to 2026-09-18

Last verified

Are these live investor returns?

No. These are the latest model NAV results from the published backtest. A recent date alone does not make a result an independently observed live record. Investor costs, taxes and execution can differ.

Why can a strategy lag for a year?

A tactical model can hold defensive assets during a rally or change positions during reversals. A short window can differ substantially from its full history. Compare cumulative returns over matching dates and inspect drawdowns as well.

Where can I check the signals behind these results?

The Signal History card on this strategy page shows dated model decisions for the selected variant, subject to its access tier. The methodology page explains the backtest assumptions.

LETF Baseline: SSO / ZROZ / GLD at a glance

LETF Baseline: SSO / ZROZ / GLD is a fixed-allocation portfolio by r/LETFs community, rebalanced quarterly. Backtested 1986-06-30 to 2026-09-18 (40.2 years): 12.1% CAGR, 0.79 Sharpe, -50.0% max drawdown, 18.6% volatility.

Type
Fixed Allocation
Author
r/LETFs community
Rebalancing
Quarterly
Risk
Aggressive
Period
1986-06-30 to 2026-09-18
CAGR
12.1%
Sharpe
0.79
Max Drawdown
-50.0%
Volatility
18.6%

LETF Baseline: SSO / ZROZ / GLD Fixed Allocation Portfolio

A popular 2x leveraged static portfolio: 50% SSO (2x S&P 500), 25% ZROZ (extended-duration Treasuries), 25% GLD (gold). Leveraged history uses BestFolio's calibrated synthetic-leverage cost model, so the backtest is intentionally a few points below testfol.io. A static, quarterly-rebalanced baseline, not a tactical strategy.

LETF Baseline: SSO / ZROZ / GLD: frequently asked questions

What is LETF Baseline: SSO / ZROZ / GLD?
A popular 2x leveraged static portfolio: 50% SSO (2x S&P 500), 25% ZROZ (extended-duration Treasuries), 25% GLD (gold). Leveraged history uses BestFolio's calibrated synthetic-leverage cost model, so the backtest is intentionally a few points below testfol.io. A static, quarterly-rebalanced baseline, not a tactical strategy.
Who created the LETF Baseline: SSO / ZROZ / GLD strategy?
LETF Baseline: SSO / ZROZ / GLD was developed by r/LETFs community.
What is the historical return and maximum drawdown of LETF Baseline: SSO / ZROZ / GLD?
Backtested from 1986-06-30 to 2026-09-18, LETF Baseline: SSO / ZROZ / GLD returned 12.1% CAGR with a -50.0% maximum drawdown and a Sharpe ratio of 0.79. Past performance does not guarantee future results.
How often is LETF Baseline: SSO / ZROZ / GLD rebalanced?
LETF Baseline: SSO / ZROZ / GLD is rebalanced quarterly. BestFolio publishes the updated allocation signal each period.
Is LETF Baseline: SSO / ZROZ / GLD a fixed or tactical strategy?
LETF Baseline: SSO / ZROZ / GLD is a fixed-allocation (strategic) portfolio: it holds a set allocation and rebalances on schedule rather than rotating based on market signals.

Backtest Performance (1986-06-30 to 2026-09-18)

MetricLETF Baseline: SSO / ZROZ / GLD
CAGR12.1%
Max Drawdown-50.0%
Sharpe0.79
Sortino1.22
Volatility18.6%
Calmar0.24
Total Return9891.2%
Backtest Period40.2 years

Strategy Details

Type
Fixed / Strategic
Rebalancing
quarterly
Risk Level
aggressive
Variants
2
Author
r/LETFs community

Further reading

Holding LETF Baseline: SSO / ZROZ / GLD alongside another strategy? Use the free portfolio overlap calculator to see how much of the two portfolios actually differs.

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