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OIH VanEck Oil Services ETF

ETF

388.65

Close 10/9

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Price and fund-flow snapshot

As of 2026-10-09

Momentum: Good; Risk / liquidity: Weak.

Momentum Good 240-day return is Top; 60-day return is Good.
60-day return (%) 3.07 66th percentile Good
240-day return (%) 40.33 90th percentile Top
Risk / liquidity Weak 60-day annualized volatility is Average; 20-day dollar volume is Lagging.
60-day annualized volatility (%) 28.87 72th percentile Average
Distance from peak (%) -44.62 17th percentile Lagging
20-day dollar volume 101,341,408 6th percentile Lagging

VanEck Oil Services ETF (OIH) 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.

VanEck Oil Services ETF (OIH) peers and tracking

Watchlist

This page refreshes daily after the close. Add VanEck Oil Services ETF to your watchlist to track signal changes on your next visit.

VanEck Oil Services ETF (OIH) 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 -44.62%

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

4 historical occurrences (since 2016-01-20)

Back above the 200-day average

Active · now -0.54%

Adjusted close crosses from below to above its 200-day moving average; repeated crosses within 20 days count once.

24 historical occurrences (since 2016-11-03)
Average forward return after Back above the 200-day average。20-day: Win 60.9%, Sample 23, Median +1.18%, Excess +1.94%, Beat mkt rate 56.5%;60-day: Win 56.5%, Sample 23, Median +2.17%, Excess +0.93%, Beat mkt rate 43.5%;120-day: Win 52.2%, Sample 23, Median +0.04%, Excess +0.07%, Beat mkt rate 43.5%

120 days after: historical avg +3.17%

20-day +2.85%
60-day +1.7%
120-day +3.17%
20-day
60-day
120-day
Win
60.9%
56.5%
52.2%
Sample
23
23
23
Median
+1.18%
+2.17%
+0.04%
Excess
+1.94%
+0.93%
+0.07%
Beat mkt rate
56.5%
43.5%
43.5%

Over 23 occurrences, 120-day forward avg gained 3.17%, beat the market by 0.07 pts; win rate 52.2%.

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

Holding-period returns in its own history

Since 2016-01-04, 47.0% of 2,456 one-year holding periods ended with a gain; the median one-year return was -2.3%. Over three-year holding periods, 47.2% of 1,952 ended with a gain (median -6.1%).

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

Pending

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

15 times historically; 60-day forward avg -4.98%, win rate 33.3%, beating the market by -6.94 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.

25 times historically; 60-day forward avg +5.82%, win rate 62.5%, beating the market by +3.7 pts on average.

Continue researching VanEck Oil Services 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.