20% below its peak
Active · now -97.36%Adjusted close first falls 20% or more below its highest level so far; repeated hits within 20 days count once.
ZSL ProShares - UltraShort Silver
ETF
27.29
Close 10/9
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Price and fund-flow snapshot
As of 2026-10-09
Risk / liquidity: Weak.
Momentum Neutral 240-day return is Top, but 60-day return is Lagging.
60-day return (%) -20.2 2th percentile Lagging
240-day return (%) 101.7 96th percentile Top
Risk / liquidity Weak All 3 indicators are Lagging.
60-day annualized volatility (%) 76.01 90th percentile Lagging
Distance from peak (%) -97.36 5th percentile Lagging
20-day dollar volume 108,294,246 11th percentile Lagging
ProShares - UltraShort Silver (ZSL) today
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 - UltraShort Silver (ZSL) peers and tracking
Watchlist
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ProShares - UltraShort Silver (ZSL) quant signal backtests
Signals active now
Each active condition is tested against this ETF’s own history and benchmarked versus the S&P 500.
Top-quintile 6-month momentum
Active · now 89.11%The ETF ranks in the top 20% of liquid US-listed ETFs by 126-day adjusted return.
Average forward return after Top-quintile 6-month momentum。20-day: Win 37.9%, Sample 29, Median -2.97%, Excess -2.43%, Beat mkt rate 31%；60-day: Win 35.7%, Sample 28, Median -3.74%, Excess -9.84%, Beat mkt rate 28.6%；120-day: Win 37%, Sample 27, Median -8.64%, Excess -20.45%, Beat mkt rate 18.5%
120 days after: historical avg -12.88%
20-day -1.61%
60-day -4.27%
120-day -12.88%
20-day
60-day
120-day
Win
37.9%
35.7%
37%
Sample
29
28
27
Median
-2.97%
-3.74%
-8.64%
Excess
-2.43%
-9.84%
-20.45%
Beat mkt rate
31%
28.6%
18.5%
Over 27 occurrences, 120-day forward avg declined 12.88%, lagged the market by 20.45 pts; win rate 37%.
More history: Holding-period returns in its own history, Signals not active now
Holding-period returns in its own history
Since 2016-01-04, 28.0% of 2,456 one-year holding periods ended with a gain; the median one-year return was -25.6%. Over three-year holding periods, 5.6% of 1,952 ended with a gain (median -70.1%).
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
PendingAdjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.
7 times historically; 60-day forward avg -19.49%, win rate 28.6%, beating the market by -24.69 pts on average.
Back above the 200-day average
PendingAdjusted close crosses from below to above its 200-day moving average; repeated crosses within 20 days count once.
33 times historically; 60-day forward avg -6.56%, win rate 33.3%, beating the market by -11.93 pts on average.
Continue researching ProShares - UltraShort Silver 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.