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SMA 10/50 Trend on AGG

iShares Core U.S. Aggregate Bond ETF: the broad US investment-grade bond market in one fund. Backtest 2021-01-04 to 2026-10-02, $10,000 starting capital, computed by the same engine that runs live DeployQuant strategies.

Result: SMA 10/50 trend on AGG turned $10,000 into $10,464 (4.6% total, 0.8% CAGR): it beat buy-and-hold by 1.6% per year, with a maximum drawdown 11.1 points shallower than holding (6.5% vs 17.6%).
0.8%CAGR
−0.8%buy & hold CAGR
−6.5%max drawdown
0.23Sharpe ratio
18round trips
44%win rate
■ SMA 10/50 trend   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

YearSMA 10/50 trendbuy & hold
20210.2%−1.6%
2022−0.6%−12.7%
20232.6%5.5%
2024−0.4%1.3%
20253.3%7.0%
2026−0.5%−2.7%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
20210.0%0.0%0.0%−0.2%0.1%0.9%1.1%−0.2%−0.8%0.0%0.0%−0.7%
2022−0.8%0.0%0.0%0.0%0.0%0.0%2.5%−2.5%0.0%0.0%1.0%−0.8%
20233.4%−2.5%0.0%0.6%−1.6%0.0%−0.4%−1.5%0.0%0.0%1.2%3.6%
2024−0.1%−1.3%−0.1%−0.5%−0.7%0.9%2.3%1.4%1.3%−1.7%0.0%−1.9%
20250.0%1.6%0.0%−1.0%−1.5%1.9%−0.3%1.2%1.1%0.6%0.6%−0.8%
20260.2%1.6%−1.4%−0.6%0.0%0.0%−0.3%0.0%0.0%0.0%––

Every trade

SMA 10/50 trend on AGG made 18 closed round trips, an average hold of 60 days, an average winner of 1.79%, an average loser of −0.94%, a profit factor of 1.50, a longest losing streak of 2. It held a position at the close on 51.2% of trading days.

EntryEntry priceExitExit priceReturnDays held
2021-04-23$96.452021-09-29$97.300.9%159
2021-12-06$97.752022-01-04$96.35−1.4%29
2022-07-14$87.202022-08-30$87.200.0%47
2022-11-21$84.352023-02-17$85.161.0%88
2023-03-23$87.182023-05-22$86.28−1.0%60
2023-07-24$86.702023-08-03$85.01−1.9%10
2023-11-14$85.012024-02-15$87.933.4%93
2024-03-13$88.462024-03-25$88.39−0.1%12
2024-04-01$88.262024-04-09$87.85−0.5%8
2024-05-16$88.482024-10-14$91.663.6%151
2024-12-09$92.242024-12-23$90.45−1.9%14
2025-02-05$91.462025-04-21$91.960.6%75
2025-05-01$93.392025-05-15$91.94−1.6%14
2025-06-09$92.252025-12-16$96.594.7%190
2025-12-29$97.162026-03-18$97.310.1%79
2026-04-22$97.692026-05-01$97.14−0.6%9
2026-06-05$96.982026-06-11$97.030.1%6
2026-06-17$97.642026-07-17$97.28−0.4%30

Prices are adjusted for splits and dividends, so they sit below the quotes printed at the time. An open position is marked at the last close.

Largest drawdowns

PeakLow pointDepthDays to lowRecoveredDays to recover
2023-02-022023-11-15−6.5%2862024-08-02261
2024-09-162025-05-14−5.4%2402026-02-12274
2022-08-012022-11-21−3.1%1122023-01-1252

Buy-and-hold's deepest drawdown ran from 2021-01-04 to 2022-10-20 and reached −17.6%.

With trading costs

The headline run fills at the bar price. These runs charge slippage on every fill.

Slippage per fillCAGRMax drawdownFinal valueSharpe
None (headline)0.8%−6.5%$10,4640.23
5 basis points0.5%−6.7%$10,2800.15
10 basis points0.2%−7.0%$10,1060.07

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules0.8%−6.5%1844%$10,464
SMA 5/501.9%−4.0%2343%$11,148
SMA 20/500.9%−6.4%1540%$10,525
SMA 10/1000.2%−7.6%1233%$10,094

How AGG behaved

MeasureAGG
Data in this test2021-01-04 to 2026-10-02 (1444 sessions)
Total return, buy and hold−4.5%
Annualized volatility5.8%
Deepest drawdown−18.0% (2021-01-04 to 2022-10-20)
Up days49.3%
Average daily range0.35%
Average overnight gap0.21%
Correlation to SPY0.22
Correlation to QQQ0.21
Correlation to TLT0.92
Sessions above the 200-day average63.6%
Crossings of the 200-day average50
Falls of 10% or more from a 20-day high0

The rules

A faster moving-average crossover: hold while the 10-day average is above the 50-day.

  1. WHEN the market opens · IF not invested AND SMA(10) > SMA(50) · THEN buy with 98% of the sleeve
  2. WHEN the market opens · IF invested AND SMA(10) < SMA(50) · THEN sell the whole position

A faster version of the golden cross. The 10- and 50-day averages catch intermediate trends measured in weeks rather than years. It enters recoveries earlier and exits breakdowns earlier, with more whipsaw trades in sideways markets. Useful for seeing how signal speed changes a strategy's results.

Good for: trending assets with multi-week swings, such as leveraged index ETFs.
Watch out: several false signals a year is normal; each whipsaw costs a small loss and they add up in flat markets.

Run SMA 10/50 trend on AGG yourself, free →

Build it from blocks (or type it in English), backtest it on 5.7 years of minute data in seconds, tweak any parameter, then paper trade it on live data. No card, no broker needed to start.

Frequently asked questions

Did SMA 10/50 trend beat buy-and-hold on AGG?

Over 2021-01-04 to 2026-10-02, SMA 10/50 trend on AGG returned 0.8% annualized vs −0.8% for buy-and-hold: it beat buy-and-hold by 1.6% per year, with a maximum drawdown 11.1 points shallower than holding (6.5% vs 17.6%).

How many trades did it make?

18 completed round trips over 5.7 years (36 fills), with 44% of round trips closing profitably.

Why 10 and 50 days?

A common intermediate-trend pairing. It reacts within weeks and ignores single bad days. Both windows are editable parameters in DeployQuant.

Related

SMA 10/50 Trend on all 59 ETFsfull results table All strategies on AGG12 templates compared RSI(14) Mean Reversion on AGGsame ETF, different rulesRSI(2) Dip Snapback on AGGsame ETF, different rules

Backtests are hypothetical, computed by DeployQuant's engine on minute-resolution consolidated US market data (2021-01-04 to 2026-10-02, $10,000 starting capital, no margin, no fees or slippage in the headline run; buy-and-hold puts 98% of the account in at the first open, as the templates do) and do not guarantee future results. Nothing on this page is investment advice. Live trading involves risk of loss.