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BITX 2x Bitcoin Strategy ETF

ETF

15.68 USD Close 11/6
Since 2024-12-06 -71.8%

Close 11/6

FinLab Studio

From 2x Bitcoin Strategy ETF to every stock like it

AI finds several complementary traits of 2x Bitcoin Strategy ETF across different dimensions, combines them into a multifactor strategy, and backtests it against the market.

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Price and fund-flow snapshot

As of 2026-11-06

Risk / liquidity: Weak.

Momentum Neutral 60-day return is Top, but 240-day return is Lagging.
60-day return (%) 33.7 98th percentile · Top
240-day return (%) -40.9 5th percentile · Lagging
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Weak All 3 indicators are Lagging.
60-day annualized volatility (%) 82.8 92th percentile · Lagging
Distance from peak (%) -74.6 13th percentile · Lagging
20-day dollar volume 118,467,072.0 15th percentile · Lagging
Factor Investing Explained: 10 Classic Factors in US Stocks

2x Bitcoin Strategy ETF (BITX) today

2 quant signals active · As of 2026-11-06

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.

2x Bitcoin Strategy ETF (BITX) peers and tracking

Watchlist

This page refreshes daily after the close. Add 2x Bitcoin Strategy ETF to your watchlist to track signal changes on your next visit.

2x Bitcoin Strategy ETF (BITX) 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 -74.6%

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

8 historical occurrences (since 2023-08-17)

Average forward return after 20% below its peak

20-day: Win 37.5%, Sample 8, Median -7.2%, Excess -0.1%, Beat mkt rate 37.5%

60-day: Win 37.5%, Sample 8, Median -10.5%, Excess +2.8%, Beat mkt rate 25.0%

120-day: Win 62.5%, Sample 8, Median +11.4%, Excess -2.7%, Beat mkt rate 62.5%

120 days after: historical avg +6.8%

20-day +1.8%
60-day +5.0%
120-day +6.8%
20-day
60-day
120-day
Win
37.5%
37.5%
62.5%
Sample
8
8
8
Median
-7.2%
-10.5%
+11.4%
Excess
-0.1%
+2.8%
-2.7%
Beat mkt rate
37.5%
25.0%
62.5%

Over 8 occurrences, 120-day forward avg gained 6.8%, lagged the market by 2.7 pts; win rate 62.5%.

Back above the 200-day average

Active · now -3.9%

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

7 historical occurrences (since 2024-07-15)

Average forward return after Back above the 200-day average

20-day: Win 50.0%, Sample 6, Median -4.2%, Excess +5.8%, Beat mkt rate 50.0%

60-day: Win 60.0%, Sample 5, Median +27.3%, Excess +18.9%, Beat mkt rate 60.0%

120-day: Win 80.0%, Sample 5, Median +47.5%, Excess +23.3%, Beat mkt rate 80.0%

120 days after: historical avg +28.6%

20-day +2.7%
60-day +21.0%
120-day +28.6%
20-day
60-day
120-day
Win
50.0%
60.0%
80.0%
Sample
6
5
5
Median
-4.2%
+27.3%
+47.5%
Excess
+5.8%
+18.9%
+23.3%
Beat mkt rate
50.0%
60.0%
80.0%

Over 5 occurrences, 120-day forward avg gained 28.6%, beat the market by 23.3 pts; win rate 80.0%.

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

Holding-period returns in its own history

Since 2023-06-27, 54.3% of 593 one-year holding periods ended with a gain; the median one-year return was +38.4%. Over three-year holding periods, 98.9% of 89 ended with a gain (median +100.4%).

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.

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

6 times historically; 60-day forward avg +30.3%, win rate 60.0%, beating the market by +24.1 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 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.