World Point Piotroski F Score

WPT -- USA Stock  

USD 17.29  0.00  0.00%

This module uses fundamental data of World Point to approximate its Piotroski F score. World Point F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of World Point Terminals LP. 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 World Point financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. See also World Point Altman Z Score, World Point Correlation, World Point Valuation as well as analyze World Point Alpha and Beta and World Point Hype Analysis.
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Analyze Piotroski F Score
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Piotroski F Score -- Unavailable
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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 - WPT

World Point Terminals Investor Sentiment
Greater number of Macroaxis users are at this time bullish on World Point Terminals LP. What is your outlook on investing in World Point Terminals LP? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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About World Point F Score

What is World Point 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.