BioShares Biotechnology Piotroski F Score

BioShares Biotechnology Clinical Trials -- USA Etf  

USD 30.75  0.15  0.49%

This module uses fundamental data of BioShares Biotechnology to approximate its Piotroski F score. BioShares Biotechnology F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of BioShares Biotechnology Clinical Trials. 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 BioShares Biotechnology financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check also BioShares Biotechnology Altman Z Score, BioShares Biotechnology Correlation, Portfolio Optimization as well as analyze BioShares Biotechnology Alpha and Beta and BioShares Biotechnology 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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Long Term Debt Over Assets Change
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Current Sentiment - BBC

BioShares Biotechnology Investor Sentiment
Greater number of Macroaxis users are currently bullish on BioShares Biotechnology Clinical Trials. What is your opinion about investing in BioShares Biotechnology Clinical Trials? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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About BioShares Biotechnology F Score

What is BioShares Biotechnology 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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