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Weekly Entry + 7% Target on QQQE

Direxion NASDAQ-100 Equal Weighted Index Shares: the Nasdaq-100 with every stock weighted equally, so less mega-cap concentration. 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 QQQE turned $10,000 into $18,406 (84.1% total, 11.2% CAGR): it beat buy-and-hold by 1.4% per year, with a maximum drawdown 12.1 points shallower than holding (19.3% vs 31.4%).
11.2%CAGR
9.8%buy & hold CAGR
−19.3%max drawdown
0.72Sharpe ratio
122round trips
26%win rate
■ weekly 7% target   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

Yearweekly 7% targetbuy & hold
202112.6%19.2%
2022−16.5%−23.9%
202333.9%32.8%
202411.7%6.8%
202517.7%14.3%
202613.5%18.8%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
20211.3%2.0%−3.0%3.2%−3.1%4.2%1.7%2.5%−2.4%5.6%−3.5%4.1%
2022−5.1%−6.1%4.5%−5.0%−1.9%−3.0%9.2%−1.9%−7.1%2.3%4.5%−6.7%
202310.3%0.7%4.4%−2.3%1.6%4.6%5.4%−1.8%−3.1%−3.3%9.1%5.3%
20240.5%3.7%−0.1%−4.2%3.8%2.0%−0.3%5.6%2.2%−2.1%5.3%−4.6%
20254.9%0.1%−7.9%7.8%6.5%5.2%−0.5%−0.9%3.3%2.2%−3.5%0.4%
20263.2%−1.2%−5.0%8.3%9.3%0.4%−4.6%3.6%−1.3%1.0%––

Every trade

weekly 7% target on QQQE made 122 closed round trips and one position still open at the end of the test, an average hold of 12 days, an average winner of 7.13%, an average loser of −1.77%, a profit factor of 1.42, a longest losing streak of 8. It held a position at the close on 81.2% of trading days.

Best 10 round trips

EntryEntry priceExitExit priceReturnDays held
2023-10-30$69.252023-11-14$74.928.2%15
2023-01-23$65.682023-02-02$70.597.5%10
2023-03-13$64.862023-03-30$69.627.3%17
2022-03-14$67.482022-03-18$72.397.3%4
2025-04-07$75.572025-04-07$81.047.2%0
2024-04-22$82.022024-05-23$87.947.2%31
2022-07-25$65.462022-08-08$70.187.2%14
2022-06-21$60.382022-07-20$64.727.2%29
2021-03-08$68.652021-04-05$73.547.1%28
2025-09-08$97.412025-10-27$104.337.1%49

Worst 10 round trips

EntryEntry priceExitExit priceReturnDays held
2021-03-01$71.682021-03-04$66.79−6.8%3
2022-08-22$67.682022-09-01$63.12−6.7%10
2022-09-06$63.292022-09-22$60.37−4.6%16
2022-05-09$63.652022-05-12$60.86−4.4%3
2025-03-17$87.302025-04-03$83.60−4.2%17
2022-01-31$72.452022-02-24$69.49−4.1%24
2022-06-13$60.952022-06-16$58.49−4.0%3
2025-03-10$88.602025-03-13$85.06−4.0%3
2021-05-10$73.292021-05-13$70.39−4.0%3
2024-04-15$85.592024-04-18$82.24−3.9%3

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
2021-11-052022-05-18−19.3%1942023-07-03411
2025-02-182025-04-03−15.2%442025-05-1340
2021-02-122021-03-08−13.3%242021-09-01177

Buy-and-hold's deepest drawdown ran from 2021-11-16 to 2022-10-14 and reached −31.4%.

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)11.2%−19.3%$18,4060.72
5 basis points9.7%−21.0%$16,9770.64
10 basis points7.8%−22.8%$15,3660.54

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules11.2%−19.3%12226%$18,406
5% target12.7%−15.3%14433%$19,909
10% target11.1%−31.1%7325%$18,266
15% target8.4%−32.3%4620%$15,917

How QQQE behaved

MeasureQQQE
Data in this test2021-01-04 to 2026-10-02 (1444 sessions)
Total return, buy and hold76.6%
Annualized volatility20.2%
Deepest drawdown−32.1% (2021-11-16 to 2022-10-14)
Up days52.0%
Average daily range1.35%
Average overnight gap0.53%
Correlation to SPY0.94
Correlation to QQQ0.95
Correlation to TLT0.12
Sessions above the 200-day average74.5%
Crossings of the 200-day average30
Falls of 10% or more from a 20-day high23

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 QQQE 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 QQQE?

Over 2021-01-04 to 2026-10-02, weekly 7% target on QQQE returned 11.2% annualized vs 9.8% for buy-and-hold: it beat buy-and-hold by 1.4% per year, with a maximum drawdown 12.1 points shallower than holding (19.3% vs 31.4%).

How many trades did it make?

122 completed round trips over 5.7 years (245 fills), with 26% 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.

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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.