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AIRR First Trust RBA American Industrial RenaissanceTM ETF

ETF

98.45

Close 10/20

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Price and fund-flow snapshot

As of 2026-10-20

Momentum: Weak, Risk / liquidity: Weak.

Momentum Weak 240-day return is Average; 60-day return is Lagging.
60-day return (%) -18.24 2th percentile Lagging
240-day return (%) 0.16 31th percentile Average
Risk / liquidity Weak 60-day annualized volatility is Average; 20-day dollar volume is Lagging.
60-day annualized volatility (%) 27.6 74th percentile Average
Distance from peak (%) -26.12 21th percentile Average
20-day dollar volume 95,130,035 2th percentile Lagging

First Trust RBA American Industrial RenaissanceTM ETF (AIRR) today

1 quant signals active · As of 2026-10-20

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.

Continue researching First Trust RBA American Industrial RenaissanceTM ETF with this page's evidence.

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First Trust RBA American Industrial RenaissanceTM ETF (AIRR) peers and tracking

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First Trust RBA American Industrial RenaissanceTM ETF (AIRR) 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 -26.12%

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

9 historical occurrences (since 2018-12-14)

Average forward return after 20% below its peak

20-day: Win 37.5%, Sample 8, Median -1.83%, Excess +0.05%, Beat mkt rate 50%

60-day: Win 100%, Sample 7, Median +12.76%, Excess +4.16%, Beat mkt rate 85.7%

120-day: Win 100%, Sample 7, Median +20.38%, Excess +10.57%, Beat mkt rate 85.7%

120 days after: historical avg +22.8%

20-day -0.05%
60-day +12.4%
120-day +22.8%
20-day
60-day
120-day
Win
37.5%
100%
100%
Sample
8
7
7
Median
-1.83%
+12.76%
+20.38%
Excess
+0.05%
+4.16%
+10.57%
Beat mkt rate
50%
85.7%
85.7%

Over 7 occurrences, 120-day forward avg gained 22.8%, beat the market by 10.57 pts; win rate 100%.

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

Holding-period returns in its own history

Since 2016-01-04, 79.9% of 2,463 one-year holding periods ended with a gain; the median one-year return was +18.3%. Over three-year holding periods, 96.4% of 1,959 ended with a gain (median +65.0%).

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.

31 times historically; 60-day forward avg -0.17%, win rate 61.3%, beating the market by -1.82 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.

19 times historically; 60-day forward avg +8.59%, win rate 77.8%, beating the market by +4.36 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.

26 times historically; 60-day forward avg +3.74%, win rate 73.1%, beating the market by +1.93 pts on average.

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 2022-12-23; 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.