ProShares Ultra Piotroski F Score

ProShares Ultra Bloomberg Natural Gas -- USA Etf  

USD 8.32  0.14  1.65%

This module uses fundamental data of ProShares Ultra to approximate its Piotroski F score. ProShares Ultra F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of ProShares Ultra Bloomberg Natural Gas. These three categories are profitability, efficiency, and funding. Some research analysists and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about ProShares Ultra financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check also ProShares Ultra Altman Z Score, ProShares Ultra Correlation, Portfolio Optimization as well as analyze ProShares Ultra Alpha and Beta and ProShares Ultra Hype Analysis
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Analyze Piotroski F Score
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Piotroski F Score -- Inapplicable
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Current Return On Assets
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Change in Return on Assets
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Cash Flow Return on Assets
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Current Quality of Earnings (accrual)
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Asset Turnover Growth
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Current Ratio Change
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Long Term Debt Over Assets Change
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Change In Outstending Shares
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Change in Gross Margin
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Current Sentiment - BOIL

ProShares Ultra Bloo Investor Sentiment
Most of Macroaxis users are currently bullish on ProShares Ultra Bloomberg Natural Gas. What is your perspective on investing in ProShares Ultra Bloomberg Natural Gas? Are you bullish or bearish?
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98% Bullish
2% Bearish
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About ProShares Ultra F Score

What is ProShares Ultra Piotroski F-Score?
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

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