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SMA-200 Trend + 15% Trailing Stop on ROM

ProShares Ultra Technology: 2x daily leveraged technology sector. 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 ROM turned $10,000 into $23,987 (139.9% total, 16.5% CAGR): it trailed buy-and-hold by 13.7% per year, with a maximum drawdown 25.5 points shallower than holding (41.3% vs 66.8%).
16.5%CAGR
30.2%buy & hold CAGR
−41.3%max drawdown
0.62Sharpe ratio
22round trips
36%win rate
■ trend + trailing stop   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

Yeartrend + trailing stopbuy & hold
202111.9%81.7%
2022−25.7%−63.0%
202353.6%125.8%
202414.8%31.1%
202515.1%35.5%
202642.2%75.0%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
20210.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%5.7%5.9%−0.0%
2022−16.7%−10.7%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
20230.0%−9.4%16.2%−1.1%17.0%11.4%4.2%−5.5%−11.9%−3.7%25.8%7.8%
20244.3%8.8%0.8%−11.4%13.3%15.0%−4.0%−10.6%−2.5%−3.7%9.4%−1.4%
2025−2.6%−11.1%0.0%0.0%−2.8%19.5%6.8%−1.0%14.7%12.4%−16.8%0.8%
2026−0.8%−6.1%−7.1%25.0%41.5%−10.4%−18.5%11.8%9.4%4.2%––

Every trade

trend + trailing stop on ROM made 22 closed round trips and one position still open at the end of the test, an average hold of 56 days, an average winner of 26.95%, an average loser of −8.02%, a profit factor of 1.52, a longest losing streak of 4. It held a position at the close on 61.7% of trading days.

EntryEntry priceExitExit priceReturnDays held
2021-10-19$55.212021-12-03$57.063.4%45
2021-12-06$58.342022-01-07$56.46−3.2%32
2022-01-10$54.972022-01-20$51.12−7.0%10
2022-02-01$53.152022-02-11$47.30−11.0%10
2023-02-03$30.122023-02-24$27.21−9.7%21
2023-03-06$29.662023-08-09$41.2739.1%156
2023-08-10$42.122023-09-26$38.90−7.6%47
2023-09-27$38.402023-10-26$36.64−4.6%29
2023-10-30$37.802024-04-18$53.3941.2%171
2024-04-19$53.082024-07-24$65.4923.4%96
2024-07-25$62.922024-08-02$54.90−12.8%8
2024-08-14$61.562024-09-03$58.20−5.5%20
2024-09-12$62.122025-02-03$64.013.0%144
2025-02-05$67.772025-02-27$63.51−6.3%22
2025-05-14$65.312025-11-07$91.7540.5%177
2025-11-10$99.232025-11-20$85.46−13.9%10
2025-11-21$85.512026-02-04$86.190.8%75
2026-02-05$84.642026-03-26$79.90−5.6%49
2026-04-09$88.902026-06-05$145.9164.1%57
2026-06-08$147.712026-06-29$136.93−7.3%21
2026-06-30$147.702026-07-16$132.60−10.2%16
2026-07-17$127.782026-07-29$118.00−7.7%12
2026-07-30$126.00open–31.6%–

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
2021-11-192023-03-10−41.3%4762023-07-17129
2024-07-102025-05-23−35.7%3172025-10-06136
2026-06-022026-07-29−33.9%57not yet–

Buy-and-hold's deepest drawdown ran from 2021-12-27 to 2022-11-03 and reached −66.8%.

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)16.5%−41.3%$23,9870.62
5 basis points16.1%−41.6%$23,5750.61
10 basis points15.6%−41.9%$22,9990.60

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules16.5%−41.3%2236%$23,987
10% trailing stop17.3%−43.5%4745%$24,980
20% trailing stop13.8%−48.9%1233%$20,998
25% trailing stop18.5%−48.1%757%$26,445

How ROM behaved

MeasureROM
Data in this test2021-01-04 to 2026-10-02 (1444 sessions)
Total return, buy and hold381.1%
Annualized volatility52.1%
Deepest drawdown−67.6% (2021-12-27 to 2022-11-03)
Up days55.9%
Average daily range3.41%
Average overnight gap1.41%
Correlation to SPY0.90
Correlation to QQQ0.97
Correlation to TLT0.07
Sessions above the 200-day average70.7%
Crossings of the 200-day average36
Falls of 10% or more from a 20-day high53

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 ROM 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 ROM?

Over 2021-01-04 to 2026-10-02, trend + trailing stop on ROM returned 16.5% annualized vs 30.2% for buy-and-hold: it trailed buy-and-hold by 13.7% per year, with a maximum drawdown 25.5 points shallower than holding (41.3% vs 66.8%).

How many trades did it make?

22 completed round trips over 5.7 years (45 fills), with 36% of round trips closing profitably.

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

SMA-200 Trend + 15% Trailing Stop on all 59 ETFsfull results table All strategies on ROM12 templates compared RSI(14) Mean Reversion on ROMsame ETF, different rulesRSI(2) Dip Snapback on ROMsame 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.