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Weekly Entry + 7% Target on VXZ

iPath Series B S&P 500 VIX Mid-Term Futures ETN: mid-curve VIX futures in ETN form. 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 VXZ turned $10,000 into $6,473 (−35.3% total, −7.3% CAGR): it beat buy-and-hold by 7.8% per year, with a maximum drawdown 8.7 points shallower than holding (57.7% vs 66.4%).
−7.3%CAGR
−15.1%buy & hold CAGR
−57.7%max drawdown
-0.22Sharpe ratio
168round trips
23%win rate
■ weekly 7% target   ■ buy & hold, $10,000 invested 2021-01-04

Year by year

Yearweekly 7% targetbuy & hold
202111.7%−18.2%
2022−1.0%0.6%
2023−36.8%−42.6%
2024−6.3%−11.8%
20256.2%5.6%
2026−9.8%−13.9%

Month by month

YearJanFebMarAprMayJunJulAugSepOctNovDec
20213.0%14.5%−13.0%−0.2%7.2%−2.4%3.2%−5.6%6.4%−7.8%8.8%0.3%
2022−7.4%−2.1%9.4%11.1%−0.0%6.1%−6.2%−4.7%8.5%−5.2%−6.7%−1.3%
2023−11.2%−2.8%−3.2%−0.7%−3.6%−13.9%−3.5%3.0%2.5%−1.2%−7.0%−1.9%
2024−3.9%1.6%2.6%1.8%−5.5%4.9%4.0%−9.1%1.0%6.8%−10.5%1.4%
2025−8.8%2.5%8.1%17.4%−4.3%−1.7%0.4%−3.1%−4.0%3.0%1.4%−2.3%
2026−0.1%3.0%12.3%−8.6%−2.3%−4.0%1.6%−7.2%−3.7%0.3%––

Every trade

weekly 7% target on VXZ made 168 closed round trips and one position still open at the end of the test, an average hold of 8 days, an average winner of 7.46%, an average loser of −2.40%, a profit factor of 0.87, a longest losing streak of 15. It held a position at the close on 75.6% of trading days.

Best 10 round trips

EntryEntry priceExitExit priceReturnDays held
2025-03-31$56.892025-04-04$64.5713.5%4
2025-03-24$52.222025-03-31$56.939.0%7
2022-06-06$113.922022-06-13$124.128.9%7
2022-04-04$105.172022-04-22$113.087.5%18
2021-01-11$122.842021-01-25$132.007.5%14
2021-11-08$100.562021-11-26$108.047.4%18
2025-10-06$55.262025-11-14$59.377.4%39
2026-03-02$56.132026-03-19$60.297.4%17
2021-05-17$112.082021-05-19$120.387.4%2
2024-05-20$48.042024-06-21$51.607.4%32

Worst 10 round trips

EntryEntry priceExitExit priceReturnDays held
2024-08-05$64.282024-08-08$57.77−10.1%3
2023-10-30$74.402023-11-02$67.04−9.9%3
2024-08-12$54.032024-08-15$49.74−8.0%3
2025-04-07$69.012025-04-10$63.91−7.4%3
2021-12-06$112.762021-12-09$104.72−7.1%3
2025-01-13$53.572025-01-16$50.30−6.1%3
2026-03-23$58.422026-04-16$55.21−5.5%24
2024-09-09$55.072024-09-12$52.15−5.3%3
2021-09-20$109.962021-09-23$104.20−5.2%3
2023-06-05$80.842023-06-08$76.84−5.0%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
2022-06-132025-02-05−57.7%968not yet–
2021-03-042022-02-16−20.7%3492022-04-2871
2022-05-182022-06-07−8.1%202022-06-136

Buy-and-hold's deepest drawdown ran from 2021-01-29 to 2026-09-29 and reached −66.4%.

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)−7.3%−57.7%$6,473-0.22
5 basis points−9.3%−60.7%$5,729-0.31
10 basis points−11.7%−64.2%$4,890-0.41

Changing the parameters

VersionCAGRMax drawdownRound tripsWin rateFinal value
Published rules−7.3%−57.7%16823%$6,473
5% target−9.1%−56.2%20028%$5,800
10% target−16.3%−70.4%13812%$3,607
15% target−15.9%−69.3%1179%$3,694

How VXZ behaved

MeasureVXZ
Data in this test2021-01-04 to 2026-10-02 (1443 sessions)
Total return, buy and hold−64.1%
Annualized volatility28.6%
Deepest drawdown−68.3% (2021-01-29 to 2026-09-29)
Up days45.1%
Average daily range1.86%
Average overnight gap0.79%
Correlation to SPY-0.74
Correlation to QQQ-0.68
Correlation to TLT-0.01
Sessions above the 200-day average31.3%
Crossings of the 200-day average62
Falls of 10% or more from a 20-day high35

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 VXZ 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 VXZ?

Over 2021-01-04 to 2026-10-02, weekly 7% target on VXZ returned −7.3% annualized vs −15.1% for buy-and-hold: it beat buy-and-hold by 7.8% per year, with a maximum drawdown 8.7 points shallower than holding (57.7% vs 66.4%).

How many trades did it make?

168 completed round trips over 5.7 years (337 fills), with 23% 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.