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SMA 10/50 Trend on EEV

ProShares UltraShort MSCI Emerging Markets: -2x daily emerging markets. 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 EEV turned $10,000 into $2,003 (−80.0% total, −24.4% CAGR): it trailed buy-and-hold by 8.4% per year, with a maximum drawdown of 81.3% (buy-and-hold: 80.1%).
−24.4%CAGR
−16.1%buy & hold CAGR
−81.3%max drawdown
-0.93Sharpe ratio
24round trips
17%win rate
■ SMA 10/50 trend   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

YearSMA 10/50 trendbuy & hold
2021−21.0%−3.6%
2022−11.9%36.5%
2023−18.0%−13.0%
2024−29.3%−7.6%
2025−29.3%−42.7%
2026−29.8%−40.8%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
20210.0%0.0%−0.1%−5.3%−8.6%0.0%8.5%−4.0%2.2%−8.7%−2.3%−3.7%
2022−10.4%−2.9%2.7%10.2%−2.9%−0.8%0.1%−3.0%23.6%3.1%−24.8%0.0%
20230.0%1.3%−5.7%−1.5%−0.1%−9.3%0.0%−2.0%7.2%8.1%−15.4%0.0%
2024−3.0%−2.9%0.0%−5.7%−4.9%0.0%−5.0%−3.2%−13.1%0.0%0.5%4.2%
2025−3.2%2.3%0.0%−21.5%−5.0%0.0%0.0%0.0%0.0%0.0%−0.5%−3.7%
2026−4.1%0.0%1.1%−16.3%0.0%0.0%−5.8%−8.2%0.0%0.0%––

Every trade

SMA 10/50 trend on EEV made 24 closed round trips, an average hold of 36 days, an average winner of 4.10%, an average loser of −8.48%, a profit factor of 0.12, a longest losing streak of 10. It held a position at the close on 41.3% of trading days.

EntryEntry priceExitExit priceReturnDays held
2021-03-17$27.172021-04-27$25.67−5.5%41
2021-05-17$27.712021-05-28$25.27−8.8%11
2021-07-16$25.602021-09-08$26.413.2%54
2021-09-23$27.782021-10-20$26.14−5.9%27
2021-11-10$27.242021-11-15$26.50−2.7%5
2021-11-30$29.882022-01-13$26.93−9.9%44
2022-01-31$29.952022-02-11$27.89−6.9%11
2022-02-25$31.062022-04-07$31.993.0%41
2022-04-12$32.582022-06-09$34.706.5%58
2022-06-17$38.322022-08-12$36.91−3.7%56
2022-09-02$39.892022-11-15$38.17−4.3%74
2023-02-27$38.372023-04-12$36.03−6.1%44
2023-05-04$37.782023-05-10$37.14−1.7%6
2023-05-25$38.632023-06-12$35.52−8.1%18
2023-08-16$37.822023-11-15$36.35−3.9%91
2024-01-19$38.662024-02-13$36.36−6.0%25
2024-04-22$35.702024-05-03$31.92−10.6%11
2024-07-30$32.352024-08-23$29.70−8.2%24
2024-09-11$32.382024-09-24$28.05−13.4%13
2024-11-13$30.252025-02-03$31.383.7%82
2025-04-07$36.402025-05-02$26.89−26.1%25
2025-11-26$18.712026-01-02$17.15−8.3%37
2026-03-13$15.952026-04-15$13.45−15.7%33
2026-07-17$12.352026-08-14$10.64−13.8%28

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
2021-03-242026-08-14−81.3%1969not yet–
2021-03-162021-03-17−3.0%12021-03-181
2021-03-182021-03-22−2.1%42021-03-231

Buy-and-hold's deepest drawdown ran from 2022-10-24 to 2026-06-22 and reached −80.1%.

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)−24.4%−81.3%$2,003-0.93
5 basis points−24.7%−81.7%$1,956-0.94
10 basis points−25.1%−82.1%$1,907-0.96

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules−24.4%−81.3%2417%$2,003
SMA 5/50−17.0%−67.8%2917%$3,438
SMA 20/50−16.2%−73.5%1817%$3,623
SMA 10/100−10.6%−59.8%1613%$5,270

How EEV behaved

MeasureEEV
Data in this test2021-01-04 to 2026-10-02 (1430 sessions)
Total return, buy and hold−65.5%
Annualized volatility40.5%
Deepest drawdown−81.1% (2022-10-24 to 2026-06-22)
Up days48.6%
Average daily range1.54%
Average overnight gap1.54%
Correlation to SPY-0.65
Correlation to QQQ-0.67
Correlation to TLT-0.09
Sessions above the 200-day average32.7%
Crossings of the 200-day average44
Falls of 10% or more from a 20-day high52

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 EEV 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 EEV?

Over 2021-01-04 to 2026-10-02, SMA 10/50 trend on EEV returned −24.4% annualized vs −16.1% for buy-and-hold: it trailed buy-and-hold by 8.4% per year, with a maximum drawdown of 81.3% (buy-and-hold: 80.1%).

How many trades did it make?

24 completed round trips over 5.7 years (48 fills), with 17% 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

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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.