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SPXL Direxion Daily S&P 500 Bull 3X Shares

ETF

297.97

Close 10/9

52W 250.37 297.97
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Price and fund-flow snapshot

As of 2026-10-09

Momentum: Strong, Risk / liquidity: Good.

Momentum Strong All 2 indicators are Top.
60-day return (%) 8.77 85th percentile Top
240-day return (%) 34.71 87th percentile Top
Risk / liquidity Good Distance from peak is Top, but 60-day annualized volatility is Average.
60-day annualized volatility (%) 33.2 75th percentile Average
Distance from peak (%) -1.02 85th percentile Top
20-day dollar volume 451,653,660 72th percentile Good

Direxion Daily S&P 500 Bull 3X Shares (SPXL) today

1 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 500 Bull 3X Shares (SPXL) peers and tracking

Watchlist

This page refreshes daily after the close. Add Direxion Daily S&P 500 Bull 3X Shares to your watchlist to track signal changes on your next visit.

Direxion Daily S&P 500 Bull 3X Shares (SPXL) quant signal backtests

Signals active now

Each active condition is tested against this ETF’s own history and benchmarked versus the S&P 500.

Top-quintile 6-month momentum

Active · now 93.39%

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

30 historical occurrences (since 2016-07-06)
Average forward return after Top-quintile 6-month momentum。20-day: Win 56.7%, Sample 30, Median +1.62%, Excess -1.31%, Beat mkt rate 56.7%；60-day: Win 72.4%, Sample 29, Median +7.57%, Excess +2.35%, Beat mkt rate 65.5%；120-day: Win 74.1%, Sample 27, Median +17.77%, Excess +7.3%, Beat mkt rate 63%

120 days after: historical avg +12.85%

20-day -1.82%
60-day +4.49%
120-day +12.85%
20-day
60-day
120-day
Win
56.7%
72.4%
74.1%
Sample
30
29
27
Median
+1.62%
+7.57%
+17.77%
Excess
-1.31%
+2.35%
+7.3%
Beat mkt rate
56.7%
65.5%
63%

Over 27 occurrences, 120-day forward avg gained 12.85%, beat the market by 7.3 pts; win rate 74.1%.

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

Holding-period returns in its own history

Since 2016-01-04, 78.4% of 2,449 one-year holding periods ended with a gain; the median one-year return was +34.6%. Over three-year holding periods, 97.0% of 1,945 ended with a gain (median +94.1%).

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.

25 times historically; 60-day forward avg +2.28%, win rate 66.7%, beating the market by +0.94 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.

24 times historically; 60-day forward avg +10.15%, win rate 75%, beating the market by +6.23 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.

23 times historically; 60-day forward avg +9.04%, win rate 78.3%, beating the market by +5.44 pts on average.

Continue researching Direxion Daily S&P 500 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.
  • us_fund_price:adj_close records this ETF’s distributions regularly only from 2026-06-23; 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.