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ITB iShares U.S. Home Construction ETF

ETF

92.74 Close 10/30
Since 2024-12-02 -22.5%

Price and fund-flow snapshot

As of 2026-10-30

Momentum: Weak.

Momentum Weak 60-day return is Average; 240-day return is Lagging.
60-day return (%) -5.02 26th percentile Average
240-day return (%) -3.19 19th percentile Lagging
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Neutral 20-day dollar volume is Good, but 60-day annualized volatility is Average.
60-day annualized volatility (%) 29.03 73th percentile Average
Distance from peak (%) -26.11 29th percentile Average
20-day dollar volume 268,984,249 56th percentile Good
Factor Investing Explained: 10 Classic Factors in US Stocks

iShares U.S. Home Construction ETF (ITB) today

1 quant signals active · As of 2026-10-30

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.

FinLab Studio

From iShares U.S. Home Construction ETF to every stock like it

AI finds several complementary traits of iShares U.S. Home Construction ETF across different dimensions, combines them into a multifactor strategy, and backtests it against the market.

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iShares U.S. Home Construction ETF (ITB) peers and tracking

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iShares U.S. Home Construction ETF (ITB) 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 -26.11%

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

14 historical occurrences (since 2018-08-13)

Average forward return after 20% below its peak

20-day: Win 50%, Sample 14, Median +1.03%, Excess -2.05%, Beat mkt rate 42.9%

60-day: Win 35.7%, Sample 14, Median -4.66%, Excess -3.3%, Beat mkt rate 28.6%

120-day: Win 38.5%, Sample 13, Median -2.29%, Excess -0.52%, Beat mkt rate 30.8%

120 days after: historical avg +6.46%

20-day -1.32%
60-day -2.36%
120-day +6.46%
20-day
60-day
120-day
Win
50%
35.7%
38.5%
Sample
14
14
13
Median
+1.03%
-4.66%
-2.29%
Excess
-2.05%
-3.3%
-0.52%
Beat mkt rate
42.9%
28.6%
30.8%

Over 13 occurrences, 120-day forward avg gained 6.46%, lagged the market by 0.52 pts; win rate 38.5%.

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

Holding-period returns in its own history

Since 2016-01-04, 68.6% of 2,471 one-year holding periods ended with a gain; the median one-year return was +17.9%. Over three-year holding periods, 98.9% of 1,967 ended with a gain (median +57.8%).

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.

52-week adjusted-price high

Pending

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

21 times historically; 60-day forward avg +4.28%, win rate 66.7%, beating the market by +0.92 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.

18 times historically; 60-day forward avg +7.53%, win rate 66.7%, beating the market by +2.27 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.

Momentum Trading Strategy: A 12-1 Momentum Backtest

21 times historically; 60-day forward avg +2.09%, win rate 61.9%, beating the market by -1.21 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.

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.