Direxion Daily CSI China Internet Index Bull 2X ETF
Trading close to its lowest price of the past year.
The essentials
Four questions every investor asks, answered in one line each.
A fund that holds many companies, so profit, growth, price and debt are not measured for it as for one company.
AI analysis
An AI analyst reads Direxion Daily CSI China Internet Index Bull 2X ETF's last five years, its segments, earnings, insiders and peers, and writes the bull case, the bear case and what the price expects.
Run the AI analysisNo annual statements on file yet.
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News
Direxion Daily S&P 500 Bull 3X (SPXL) Adds Apple and Nvidia on FridayYahoo Finance · Nov 10, 2026What Direxion Daily S&P 500 Bull 3X (SPXL) Sold: Apple Leads on Nov. 5Yahoo Finance · Nov 9, 2026Insider trades
Our insider feed has not updated since May 26, 2026. Trades filed after that are not listed yet.
No insider trades on file.
Not enough data
Questions about Direxion Daily CSI China Internet Index Bull 2X ETF
Is Direxion Daily CSI China Internet Index Bull 2X ETF a good stock to buy?
A fund that holds many companies, so profit, growth, price and debt are not measured for it as for one company. Whether it suits you depends on your goals and the price you pay; invest-like never tells anyone to buy or sell. The AI analysis lays out the case for and against. Read the Direxion Daily CSI China Internet Index Bull 2X ETF AI analysis
What does Direxion Daily CSI China Internet Index Bull 2X ETF do?
The Direxion Daily CSI China Internet Index Bull 2X ETF seeks daily investment results, before fees and expenses, of 200% of the performance of the CSI Overseas China Internet Index. There is no guarantee the fund will achieve its stated investment objective. It is in Asset Management.
How has Direxion Daily CSI China Internet Index Bull 2X ETF stock done over the past year?
Down 65.7% over the past twelve months, to $17.41. It traded between $15.67 and $50.74 and is 65.7% below its high.
Prices: daily closes to Nov 10, 2026. Fundamentals: company reports via invest-like data.