ProShares K Piotroski F Score

OILK -- USA Etf  

USD 25.30  0.0004  0.0016%

This module uses fundamental data of ProShares K to approximate its Piotroski F score. ProShares K F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of ProShares K 1 Free Crude Oil Strategy. 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 K financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Additionally take a look at ProShares K Altman Z Score, ProShares K Correlation, Portfolio Optimization as well as analyze ProShares K Alpha and Beta and ProShares K 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 - OILK

ProShares K 1 Investor Sentiment
Macroaxis portfolio users are evenly split in their perspective on investing in ProShares K 1 Free Crude Oil Strategy. What is your perspective on investing in ProShares K 1 Free Crude Oil Strategy? Are you bullish or bearish?
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About ProShares K F Score

What is ProShares K 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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