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SMA-200 Trend + 15% Trailing Stop on SGOV

iShares 0-3 Month Treasury Bond ETF: T-bills, often used as the cash leg of rotation strategies. Backtest 2021-01-04 to 2026-10-02, $10,000 starting capital, computed by the same engine that runs live DeployQuant strategies.

Result: trend + trailing stop on SGOV turned $10,000 into $11,993 (19.9% total, 3.2% CAGR): it beat buy-and-hold by 0.0% per year, with a maximum drawdown of 0.0% (buy-and-hold: 0.0%).
3.2%CAGR
3.2%buy & hold CAGR
−0.0%max drawdown
14.13Sharpe ratio
0round trips
■ trend + trailing stop   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

Yeartrend + trailing stopbuy & hold
20210.0%0.0%
20221.5%1.5%
20235.0%5.0%
20245.2%5.2%
20254.1%4.1%
20262.7%2.7%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
20210.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%−0.0%0.0%0.0%
20220.0%0.0%0.0%0.0%0.1%0.1%0.1%0.2%0.2%0.2%0.3%0.4%
20230.3%0.3%0.4%0.3%0.4%0.5%0.4%0.5%0.4%0.4%0.5%0.4%
20240.4%0.4%0.4%0.4%0.5%0.4%0.4%0.5%0.4%0.4%0.4%0.4%
20250.3%0.3%0.3%0.3%0.3%0.3%0.3%0.4%0.3%0.3%0.3%0.3%
20260.3%0.3%0.3%0.3%0.3%0.3%0.3%0.3%0.3%0.1%––

Every trade

trend + trailing stop on SGOV made 0 closed round trips and one position still open at the end of the test. It held a position at the close on 86.1% of trading days.

EntryEntry priceExitExit priceReturnDays held
2021-10-19$83.40open–20.4%–

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
2021-10-182021-10-20−0.0%22021-10-211
2021-10-222021-10-25−0.0%32021-11-017
2021-12-312022-01-04−0.0%42022-01-073

Buy-and-hold's deepest drawdown ran from 2021-03-02 to 2021-03-03 and reached −0.0%.

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)3.2%−0.0%$11,99314.13
5 basis points3.2%−0.1%$11,98913.98
10 basis points3.2%−0.1%$11,98413.72

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules3.2%−0.0%0–$11,993
10% trailing stop3.2%−0.0%0–$11,993
20% trailing stop3.2%−0.0%0–$11,993
25% trailing stop3.2%−0.0%0–$11,993

How SGOV behaved

MeasureSGOV
Data in this test2021-01-04 to 2026-10-02 (1444 sessions)
Total return, buy and hold20.5%
Annualized volatility0.2%
Deepest drawdown−0.0% (2021-03-01 to 2021-03-03)
Up days69.0%
Average daily range0.01%
Average overnight gap0.01%
Correlation to SPY-0.01
Correlation to QQQ-0.01
Correlation to TLT0.01
Sessions above the 200-day average99.5%
Crossings of the 200-day average10
Falls of 10% or more from a 20-day high0

The rules

Enter when price is above the 200-day average; exit only when a 15% trailing stop is hit.

  1. WHEN the market opens · IF not invested AND yesterday's close > SMA(200) · THEN buy with 98% of the sleeve
  2. WHILE invested · a managed trailing stop follows 15% below the position's high-water mark

A hybrid of the regime filter and the trailing stop. The 200-day average decides when to get in, and a 15% trail from the position's high-water mark decides when to get out. Winners can run well past the point where a crossover would have exited, and the position gives back 15% from every peak.

Good for: long trends with moderate pullbacks; the 15% trail is wide enough to survive normal corrections.
Watch out: every exit gives back 15% from the peak, and on choppy assets it re-enters above the 200-day repeatedly after each stop-out.

Run trend + trailing stop on SGOV 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 trend + trailing stop beat buy-and-hold on SGOV?

Over 2021-01-04 to 2026-10-02, trend + trailing stop on SGOV returned 3.2% annualized vs 3.2% for buy-and-hold: it beat buy-and-hold by 0.0% per year, with a maximum drawdown of 0.0% (buy-and-hold: 0.0%).

How many trades did it make?

0 completed round trips over 5.7 years (1 fills).

Why 15% rather than 10%?

A wider trail survives routine corrections and gives back more at the end. Both numbers are one-field edits in DeployQuant, so you can backtest both and compare.

Related

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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.