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AGG trading strategies, backtested

iShares Core U.S. Aggregate Bond ETF — the broad US investment-grade bond market in one fund. Every DeployQuant template run on AGG over 5.5 years of minute data, same engine, same window, sorted by return.

Quick answer: the best-performing template on AGG (2021-01-04 → 2026-07-17) was RSI(2) snapback at 1.7% CAGR vs −0.3% for buy-and-hold. 9 of 12 templates beat holding; 10 cut the max drawdown.
StrategyCAGRmax DDSharpetradeswin ratefinal value
RSI(2) Dip Snapback 1.7% −10.6% 0.45166 60% $10,964
EMA 12/26 Trend 1.2% −4.9% 0.3421 38% $10,707
Golden Cross (SMA 50/200) 0.9% −7.2% 0.263 33% $10,522
SMA 10/50 Trend 0.8% −6.5% 0.2318 44% $10,454
200-Day SMA Regime Filter 0.6% −6.1% 0.1723 39% $10,314
RSI(14) Mean Reversion 0.2% −11.6% 0.0815 67% $10,132
Weekly Entry + 7% Target 0.1% −16.0% 0.0458 7% $10,056
Drawdown Dip Buyer + 8% Target 0.0% −0.0% 0.000 $10,000
20-Day Momentum + Trailing Stop 0.0% −0.0% 0.000 $10,000
First-to-Last Day of Month −0.5% −18.9% -0.0767 54% $9,720
SMA-200 Trend + 15% Trailing Stop −0.6% −18.9% -0.091 0% $9,667
3-Month Momentum Switch −0.8% −5.7% -0.413 0% $9,583
Buy & hold AGG −0.3%−17.6% -0.02 $9,849
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Frequently asked questions

What was the best strategy for AGG?

Of the 12 templates tested on AGG over 2021-01-04–2026-07-17, the strongest by CAGR was RSI(2) snapback at 1.7% (max drawdown 10.6%), versus −0.3% for buy-and-hold. Best-in-hindsight is not a forecast — check drawdowns and trade counts before drawing conclusions.

Did any strategy beat buying and holding AGG?

9 of 12 templates beat AGG buy-and-hold (−0.3% CAGR) on this window; 10 of 12 had a shallower maximum drawdown than holding (17.6%).

Other bond etfs

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Backtests are hypothetical, computed by DeployQuant's engine on minute-resolution consolidated US market data (2021-01-04 to 2026-07-17, $10,000 starting capital, no margin, fees and slippage not modeled) and do not guarantee future results. Nothing on this page is investment advice. Live trading involves risk of loss.