Skip to main content

QLD ProShares - Ultra QQQ

ETF

98.42

Close 10/9

Loading candles…

Price and fund-flow snapshot

As of 2026-10-09

Momentum: Strong.

Momentum Strong All 2 indicators are Top.
60-day return (%) 11.15 87th percentile Top
240-day return (%) 36.75 88th percentile Top
Risk / liquidity Neutral Distance from peak is Good, but 60-day annualized volatility is Average.
60-day annualized volatility (%) 36.39 77th percentile Average
Distance from peak (%) -2.33 77th percentile Good
20-day dollar volume 344,994,102 64th percentile Good

ProShares - Ultra QQQ (QLD) today

2 quant signals active · As of 2026-10-09

Win rate and excess are historical post-trigger stats vs the market. Click a signal for its full definition and samples; history does not predict future results.

ProShares - Ultra QQQ (QLD) peers and tracking

Watchlist

This page refreshes daily after the close. Add ProShares - Ultra QQQ to your watchlist to track signal changes on your next visit.

ProShares - Ultra QQQ (QLD) quant signal backtests

Signals active now

Each active condition is tested against this ETF’s own history and benchmarked versus the S&P 500.

52-week adjusted-price high

Active

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

30 historical occurrences (since 2017-01-05)
Average forward return after 52-week adjusted-price high。20-day: Win 65.5%, Sample 29, Median +2.46%, Excess +1.13%, Beat mkt rate 62.1%;60-day: Win 65.5%, Sample 29, Median +5.07%, Excess +1.92%, Beat mkt rate 62.1%;120-day: Win 72.4%, Sample 29, Median +14.17%, Excess +5.29%, Beat mkt rate 75.9%

120 days after: historical avg +9.12%

20-day +2.03%
60-day +3.5%
120-day +9.12%
20-day
60-day
120-day
Win
65.5%
65.5%
72.4%
Sample
29
29
29
Median
+2.46%
+5.07%
+14.17%
Excess
+1.13%
+1.92%
+5.29%
Beat mkt rate
62.1%
62.1%
75.9%

Over 29 occurrences, 120-day forward avg gained 9.12%, beat the market by 5.29 pts; win rate 72.4%.

Top-quintile 6-month momentum

Active · now 94.94%

The ETF ranks in the top 20% of liquid US-listed ETFs by 126-day adjusted return.

21 historical occurrences (since 2016-07-18)
Average forward return after Top-quintile 6-month momentum。20-day: Win 76.2%, Sample 21, Median +6.6%, Excess +2.64%, Beat mkt rate 71.4%;60-day: Win 90%, Sample 20, Median +12.5%, Excess +10.12%, Beat mkt rate 90%;120-day: Win 84.2%, Sample 19, Median +23.68%, Excess +18.69%, Beat mkt rate 94.7%

120 days after: historical avg +26.65%

20-day +3.87%
60-day +15.08%
120-day +26.65%
20-day
60-day
120-day
Win
76.2%
90%
84.2%
Sample
21
20
19
Median
+6.6%
+12.5%
+23.68%
Excess
+2.64%
+10.12%
+18.69%
Beat mkt rate
71.4%
90%
94.7%

Over 19 occurrences, 120-day forward avg gained 26.65%, beat the market by 18.69 pts; win rate 84.2%.

More history: Holding-period returns in its own history, Signals not active now

Holding-period returns in its own history

Since 2016-01-04, 84.4% of 2,456 one-year holding periods ended with a gain; the median one-year return was +45.7%. Over three-year holding periods, 99.9% of 1,952 ended with a gain (median +142.9%).

A holding period starts on every trading day, so periods overlap; they describe the historical distribution rather than independent outcomes.

Signals not active now

Inactive signals still show this ETF’s historical forward-return distribution for context.

20% below its peak

Pending

Adjusted close first falls 20% or more below its highest level so far; repeated hits within 20 days count once.

19 times historically; 60-day forward avg +17.54%, win rate 83.3%, beating the market by +11.01 pts on average.

Back above the 200-day average

Pending

Adjusted close crosses from below to above its 200-day moving average; repeated crosses within 20 days count once.

14 times historically; 60-day forward avg +22.15%, win rate 92.9%, beating the market by +15.68 pts on average.

Continue researching ProShares - Ultra QQQ with the evidence above.

Continue in Studio ↗

Method and limits

  • Returns use us_fund_price:adj_close (finlab data.set_market('us_fund')), adjusted for splits and for distributions where the data includes them.
  • Excess returns use world_index:^GSPC, the S&P 500 price index without dividends, as the benchmark.
  • Percentiles and the 6-month momentum signal compare against the most liquid US-listed ETFs by 20-day dollar volume; mutual funds are excluded.
  • Category labels come from the fund data where it provides one (bond, income, crypto) and from the fund name for leveraged, inverse and commodity ETFs.
  • Overlapping event windows are descriptive distributions, not independent samples.
  • This ETF seeks a multiple of its index’s daily return, or the inverse of it, and resets that exposure every day. Over periods longer than a day its return compounds the daily moves and can differ substantially from that multiple of the index’s return, more so when the index is volatile.

This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.