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CGMU Capital Group Municipal Income ETF

ETF

26.04

Close 10/9

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Price and fund-flow snapshot

As of 2026-10-09

Every dimension sits in the neutral range.

Momentum Neutral All 2 indicators are Average.
60-day return (%) -3.84 23th percentile Average
240-day return (%) -2.98 26th percentile Average
Risk / liquidity Neutral 60-day annualized volatility is Top, but 20-day dollar volume is Lagging.
60-day annualized volatility (%) 3.92 13th percentile Top
Distance from peak (%) -5.59 49th percentile Average
20-day dollar volume 97,537,421 4th percentile Lagging

Capital Group Municipal Income ETF (CGMU) peers and tracking

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Capital Group Municipal Income ETF (CGMU) quant signal backtests

Holding-period returns in its own history

Since 2022-10-27, 97.3% of 739 one-year holding periods ended with a gain; the median one-year return was +4.5%. Over three-year holding periods, 100.0% of 235 ended with a gain (median +13.4%).

A holding period starts on every trading day, so periods overlap; they describe the historical distribution rather than independent outcomes.

More history: Signals not active now

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.

13 times historically; 60-day forward avg +0.6%, win rate 61.5%, beating the market by -1.9 pts on average.

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.

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.

Top-quintile 6-month momentum

Pending

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

Continue researching Capital Group Municipal Income 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.

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.