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Weekly Entry + 7% Target on QLD

ProShares Ultra QQQ: 2x daily leveraged Nasdaq-100, between QQQ and TQQQ in leverage. Backtest 2021-01-04 to 2026-10-02, $10,000 starting capital, computed by the same engine that runs live DeployQuant strategies.

Result: weekly 7% target on QLD turned $10,000 into $37,040 (270.4% total, 25.6% CAGR): it beat buy-and-hold by 2.1% per year, with a maximum drawdown 18.4 points shallower than holding (44.4% vs 62.8%).
25.6%CAGR
23.6%buy & hold CAGR
−44.4%max drawdown
0.83Sharpe ratio
190round trips
43%win rate
■ weekly 7% target   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

Yearweekly 7% targetbuy & hold
202138.0%57.8%
2022−31.7%−59.7%
202390.0%113.2%
202429.8%42.1%
202549.2%29.9%
202610.6%39.2%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
20217.9%−1.9%−7.2%8.4%−8.7%9.8%12.2%4.3%−4.4%12.7%−3.4%6.2%
20222.6%−6.7%2.9%−12.2%−11.6%−11.3%16.1%−6.0%−14.6%10.6%0.4%−2.5%
20238.0%2.4%14.8%0.3%11.6%10.8%5.7%2.2%−9.7%0.0%13.4%9.0%
2024−2.6%5.8%1.8%−6.7%6.9%8.6%−6.5%9.5%10.6%−3.9%9.2%−3.7%
20250.3%0.3%−14.4%10.2%24.1%14.0%6.3%1.6%4.8%8.6%−7.5%−2.3%
2026−1.5%−5.1%−7.3%24.8%15.7%−9.6%−13.6%5.8%4.1%2.5%––

Every trade

weekly 7% target on QLD made 190 closed round trips and one position still open at the end of the test, an average hold of 7 days, an average winner of 7.24%, an average loser of −3.87%, a profit factor of 1.37, a longest losing streak of 8. It held a position at the close on 70.0% of trading days.

Best 10 round trips

EntryEntry priceExitExit priceReturnDays held
2022-12-12$19.652022-12-13$21.6210.0%1
2023-01-30$20.932023-02-02$22.949.6%3
2024-09-16$47.022024-09-26$51.319.1%10
2025-04-21$37.702025-04-23$41.089.0%2
2025-05-05$45.912025-05-12$50.028.9%7
2024-05-20$44.512024-06-12$48.298.5%23
2023-10-30$27.492023-11-02$29.698.0%3
2025-09-29$68.262025-10-27$73.667.9%28
2025-05-12$49.792025-05-29$53.697.8%17
2023-11-06$30.942023-11-14$33.347.8%8

Worst 10 round trips

EntryEntry priceExitExit priceReturnDays held
2022-08-22$26.082022-09-01$22.22−14.8%10
2022-10-31$19.562022-11-03$17.15−12.3%3
2021-03-01$29.312021-03-04$25.78−12.0%3
2022-05-09$24.702022-05-12$21.80−11.7%3
2022-09-12$24.382022-09-15$21.87−10.3%3
2025-04-14$42.402025-04-16$38.35−9.6%2
2022-06-27$22.982022-06-30$20.90−9.1%3
2025-03-03$53.032025-03-06$48.50−8.5%3
2021-05-10$31.322021-05-13$28.65−8.5%3
2022-02-28$32.372022-03-10$29.66−8.4%10

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
2022-02-092022-11-09−44.4%2732023-07-12245
2026-06-022026-07-29−28.2%57not yet–
2025-10-292026-03-30−28.0%1522026-05-0637

Buy-and-hold's deepest drawdown ran from 2021-11-19 to 2022-12-28 and reached −62.8%.

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)25.6%−44.4%$37,0400.83
5 basis points23.0%−45.6%$32,8380.77
10 basis points19.2%−41.9%$27,4520.69

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules25.6%−44.4%19043%$37,040
5% target21.6%−37.4%21250%$30,795
10% target33.8%−36.9%15537%$53,214
15% target33.6%−38.1%10630%$52,729

How QLD behaved

MeasureQLD
Data in this test2021-01-04 to 2026-10-02 (1444 sessions)
Total return, buy and hold254.3%
Annualized volatility44.8%
Deepest drawdown−63.7% (2021-11-19 to 2022-12-28)
Up days54.3%
Average daily range3.14%
Average overnight gap1.19%
Correlation to SPY0.94
Correlation to QQQ1.00
Correlation to TLT0.09
Sessions above the 200-day average72.3%
Crossings of the 200-day average24
Falls of 10% or more from a 20-day high50

The rules

Buy at the first open of each week, rest a +7% profit target, and exit Thursday afternoon if the trade is losing.

  1. WHEN the first session of the week opens · IF not invested · THEN buy with 98% of the sleeve (once per week)
  2. WHILE invested · a managed limit order rests at entry price × 1.07
  3. WHEN it's 2:00pm on the week's second-to-last session · IF the position is losing · THEN sell everything

A weekly swing template: enter Monday, aim for +7%, and do not carry a loser into the weekend. The profit target rests at the broker as a real limit order the whole time (DeployQuant maintains it as a managed order). The Thursday-afternoon exit gives losing trades a time deadline instead of a price stop.

Good for: volatile assets that regularly swing 7% within a week, such as leveraged ETFs.
Watch out: the time-based exit realizes many small losses by design. The template needs the +7% winners to outnumber them, which the per-ETF results test directly.

Run weekly 7% target on QLD 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 weekly 7% target beat buy-and-hold on QLD?

Over 2021-01-04 to 2026-10-02, weekly 7% target on QLD returned 25.6% annualized vs 23.6% for buy-and-hold: it beat buy-and-hold by 2.1% per year, with a maximum drawdown 18.4 points shallower than holding (44.4% vs 62.8%).

How many trades did it make?

190 completed round trips over 5.7 years (381 fills), with 43% of round trips closing profitably.

Why exit on Thursday?

It is a time deadline. The template does not hold a losing trade over the weekend gap. On holiday-shortened weeks the exit moves to the week's second-to-last session automatically.

Does the 7% target rest at the broker?

Yes. Deployed live, the target is a real GTC limit order that DeployQuant places and maintains.

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.