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LABU Direxion Daily S&P Biotech Bull 3X Shares

ETF

243.09

Close 10/9

52W 221.29 305.09
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Price and fund-flow snapshot

As of 2026-10-09

Risk / liquidity: Weak.

Momentum Neutral 240-day return is Top, but 60-day return is Average.
60-day return (%) -4.6 21th percentile Average
240-day return (%) 107.88 97th percentile Top
Risk / liquidity Weak All 3 indicators are Lagging.
60-day annualized volatility (%) 87.27 92th percentile Lagging
Distance from peak (%) -93.37 6th percentile Lagging
20-day dollar volume 111,634,350 13th percentile Lagging

Direxion Daily S&P Biotech Bull 3X Shares (LABU) 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.

Direxion Daily S&P Biotech Bull 3X Shares (LABU) peers and tracking

Watchlist

This page refreshes daily after the close. Add Direxion Daily S&P Biotech Bull 3X Shares to your watchlist to track signal changes on your next visit.

Direxion Daily S&P Biotech Bull 3X Shares (LABU) 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 -93.37%

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

12 historical occurrences (since 2016-01-07)
Average forward return after 20% below its peak。20-day: Win 58.3%, Sample 12, Median +13.08%, Excess +3.35%, Beat mkt rate 58.3%；60-day: Win 41.7%, Sample 12, Median -5.6%, Excess -9.84%, Beat mkt rate 33.3%；120-day: Win 41.7%, Sample 12, Median -28.12%, Excess -18.83%, Beat mkt rate 33.3%

120 days after: historical avg -13.98%

20-day +4.37%
60-day -6.63%
120-day -13.98%
20-day
60-day
120-day
Win
58.3%
41.7%
41.7%
Sample
12
12
12
Median
+13.08%
-5.6%
-28.12%
Excess
+3.35%
-9.84%
-18.83%
Beat mkt rate
58.3%
33.3%
33.3%

Over 12 occurrences, 120-day forward avg declined 13.98%, lagged the market by 18.83 pts; win rate 41.7%.

Top-quintile 6-month momentum

Active · now 93%

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

35 historical occurrences (since 2016-07-27)
Average forward return after Top-quintile 6-month momentum。20-day: Win 51.4%, Sample 35, Median +2.11%, Excess +4.63%, Beat mkt rate 57.1%；60-day: Win 51.4%, Sample 35, Median +1.4%, Excess +4.49%, Beat mkt rate 45.7%；120-day: Win 52.9%, Sample 34, Median +4.32%, Excess +4.89%, Beat mkt rate 44.1%

120 days after: historical avg +11.04%

20-day +5.86%
60-day +6.8%
120-day +11.04%
20-day
60-day
120-day
Win
51.4%
51.4%
52.9%
Sample
35
35
34
Median
+2.11%
+1.4%
+4.32%
Excess
+4.63%
+4.49%
+4.89%
Beat mkt rate
57.1%
45.7%
44.1%

Over 34 occurrences, 120-day forward avg gained 11.04%, beat the market by 4.89 pts; win rate 52.9%.

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

Holding-period returns in its own history

Since 2016-01-04, 50.2% of 2,448 one-year holding periods ended with a gain; the median one-year return was +0.4%. Over three-year holding periods, 29.6% of 1,944 ended with a gain (median -41.0%).

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.

14 times historically; 60-day forward avg +6.8%, win rate 53.8%, beating the market by +2.49 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.

24 times historically; 60-day forward avg +11.62%, win rate 62.5%, beating the market by +6.76 pts on average.

Continue researching Direxion Daily S&P Biotech Bull 3X Shares 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 ETF seeks a multiple of its index’s daily return, or the inverse of it, and resets that exposure every day. Over periods longer than a day its return compounds the daily moves and can differ substantially from that multiple of the index’s return, more so when the index is volatile.

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.