Crude Oil Piotroski F Score

Crude Oil Strategy Proshares -- USA Etf  

USD 21.86  0.06  0.28%

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

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

What is Crude Oil 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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