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CIBR First Trust Nasdaq Cybersecurity ETF

ETF

110.00

Close 10/9

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Price and fund-flow snapshot

As of 2026-10-09

Momentum: Strong.

Momentum Strong All 2 indicators are Top.
60-day return (%) 19.71 93th percentile Top
240-day return (%) 42.09 90th percentile Top
Risk / liquidity Neutral Distance from peak is Top, but 60-day annualized volatility is Average.
60-day annualized volatility (%) 32.78 74th percentile Average
Distance from peak (%) 0 98th percentile Top
20-day dollar volume 204,188,164 44th percentile Average

First Trust Nasdaq Cybersecurity ETF (CIBR) 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.

First Trust Nasdaq Cybersecurity ETF (CIBR) peers and tracking

Watchlist

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First Trust Nasdaq Cybersecurity ETF (CIBR) 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.

39 historical occurrences (since 2017-01-13)
Average forward return after 52-week adjusted-price high。20-day: Win 52.6%, Sample 38, Median +0.42%, Excess +0.43%, Beat mkt rate 47.4%；60-day: Win 62.2%, Sample 37, Median +2.95%, Excess +0.81%, Beat mkt rate 51.4%；120-day: Win 71.4%, Sample 35, Median +5.31%, Excess +1.55%, Beat mkt rate 45.7%

120 days after: historical avg +5.64%

20-day +0.97%
60-day +2.81%
120-day +5.64%
20-day
60-day
120-day
Win
52.6%
62.2%
71.4%
Sample
38
37
35
Median
+0.42%
+2.95%
+5.31%
Excess
+0.43%
+0.81%
+1.55%
Beat mkt rate
47.4%
51.4%
45.7%

Over 35 occurrences, 120-day forward avg gained 5.64%, beat the market by 1.55 pts; win rate 71.4%.

Top-quintile 6-month momentum

Active · now 96.89%

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

31 historical occurrences (since 2016-08-05)
Average forward return after Top-quintile 6-month momentum。20-day: Win 67.7%, Sample 31, Median +1.61%, Excess +0.31%, Beat mkt rate 58.1%；60-day: Win 74.2%, Sample 31, Median +3.93%, Excess +1%, Beat mkt rate 54.8%；120-day: Win 73.3%, Sample 30, Median +10.25%, Excess +1.05%, Beat mkt rate 50%

120 days after: historical avg +7.69%

20-day +1.27%
60-day +3.79%
120-day +7.69%
20-day
60-day
120-day
Win
67.7%
74.2%
73.3%
Sample
31
31
30
Median
+1.61%
+3.93%
+10.25%
Excess
+0.31%
+1%
+1.05%
Beat mkt rate
58.1%
54.8%
50%

Over 30 occurrences, 120-day forward avg gained 7.69%, beat the market by 1.05 pts; win rate 73.3%.

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

Holding-period returns in its own history

Since 2016-01-04, 85.3% of 2,456 one-year holding periods ended with a gain; the median one-year return was +19.1%. Over three-year holding periods, 100.0% of 1,952 ended with a gain (median +55.8%).

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.

11 times historically; 60-day forward avg +16.98%, win rate 81.8%, beating the market by +9.81 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.

15 times historically; 60-day forward avg +8.18%, win rate 80%, beating the market by +3.29 pts on average.

Continue researching First Trust Nasdaq Cybersecurity ETF 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.
  • us_fund_price:adj_close records this ETF’s distributions regularly only from 2026-06-25; returns before that date mostly reflect price changes and splits, so they understate its total return.

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.