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AGQ ProShares - Ultra Silver

ETF

67.42

Close 10/9

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Price and fund-flow snapshot

As of 2026-10-09

Risk / liquidity: Weak.

Momentum Neutral 60-day return is Top, but 240-day return is Lagging.
60-day return (%) 13.23 88th percentile Top
240-day return (%) -15.42 13th percentile Lagging
Risk / liquidity Weak 20-day dollar volume is Average; Distance from peak is Lagging.
60-day annualized volatility (%) 75.83 90th percentile Lagging
Distance from peak (%) -83.16 7th percentile Lagging
20-day dollar volume 208,305,818 46th percentile Average

ProShares - Ultra Silver (AGQ) today

1 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 Silver (AGQ) peers and tracking

Watchlist

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

ProShares - Ultra Silver (AGQ) quant signal backtests

Signals active now

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

20% below its peak

Active · now -83.16%

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

11 historical occurrences (since 2016-05-31)
Average forward return after 20% below its peak。20-day: Win 54.5%, Sample 11, Median +3.24%, Excess +4.45%, Beat mkt rate 54.5%；60-day: Win 36.4%, Sample 11, Median -4.88%, Excess +22.42%, Beat mkt rate 27.3%；120-day: Win 45.5%, Sample 11, Median -1.59%, Excess +13.15%, Beat mkt rate 18.2%

120 days after: historical avg +24.4%

20-day +5.04%
60-day +27.36%
120-day +24.4%
20-day
60-day
120-day
Win
54.5%
36.4%
45.5%
Sample
11
11
11
Median
+3.24%
-4.88%
-1.59%
Excess
+4.45%
+22.42%
+13.15%
Beat mkt rate
54.5%
27.3%
18.2%

Over 11 occurrences, 120-day forward avg gained 24.4%, beat the market by 13.15 pts; win rate 45.5%.

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

Holding-period returns in its own history

Since 2016-01-04, 53.5% of 2,456 one-year holding periods ended with a gain; the median one-year return was +6.1%. Over three-year holding periods, 56.0% of 1,952 ended with a gain (median +12.2%).

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.

52-week adjusted-price high

Pending

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

10 times historically; 60-day forward avg +17.13%, win rate 60%, beating the market by +12.15 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.

31 times historically; 60-day forward avg -2.96%, win rate 35.5%, beating the market by -5.83 pts on average.

Top-quintile 6-month momentum

Pending

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

25 times historically; 60-day forward avg -1.9%, win rate 40%, beating the market by -4.56 pts on average.

Continue researching ProShares - Ultra Silver with the evidence above.

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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.