
See exactly how UDOW's revenue becomes profit — a Sankey that traces revenue (and its reported segments) through gross profit, operating expenses, and net profit, with the year-over-year change on every line.
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The ProShares UltraPro Dow30 is designed to achieve daily financial outcomes that are three times (3x) the daily performance of the Dow Jones Industrial AverageSM, with this objective measured before the deduction of any fees or expenses.

Leveraged ETFs often underperform their underlying index due to beta-slippage. Monthly and yearly drift can be monitored to assess the performance of leveraged ETFs relative to their underlying index. UDOW's average 12-month drift is -2.43%, with compounding volatility eroding returns, especially during market whipsaws.

Encompass More Asset Management increased its holdings in ProShares UltraPro Dow30 (NYSEARCA:UDOW) by 191.1% during the undefined quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The fund owned 32,235 shares of the company's stock after purchasing an additional 21,162 shares during the quarter. Encompass

BETHESDA, Md.--(BUSINESS WIRE)--ProShares, a premier provider of ETFs, announced today forward and reverse share splits on 22 of its ETFs.

ProShares UltraPro Dow30 ETF's 3X leverage introduces significant drift, especially in volatile markets, making it risky for long-term investors. Drift is path-dependent and worsens with volatility and leverage, often resulting in underperformance versus the underlying index over time. UDOW has delivered strong long-term gains during bull markets, but suffered severe drawdowns and underperformed DIA since 2022.

ProShares UltraPro Dow30 ETF is a popular leveraged ETF for swing trading, but its 3X leverage factor causes drift, requiring close monitoring. Positive drift occurs in steady trends, while negative drift results from high volatility; UDOW has a negative average drift. UDOW is not suitable for buy-and-hold strategies and is designed for informed traders who understand its path-dependent behavior and potential long-lasting losses.