At this time, it appears that Wearable Devices' Piotroski F Score is Frail. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
3.0
Piotroski F Score - Frail
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Wearable Devices Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Wearable Devices is to make sure Wearable is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Wearable Devices' auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Wearable Devices' financial numbers are properly reported.
Wearable Devices F Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical
financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Wearable Devices' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Wearable Devices in a much-optimized way.
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About Wearable Devices 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.
About Wearable Devices Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Wearable Devices's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Wearable Devices using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Wearable Devices based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing
financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our
fundamental analysis page.
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Additional Tools for Wearable Stock Analysis
When running Wearable Devices' price analysis, check to
measure Wearable Devices' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Wearable Devices is operating at the current time. Most of Wearable Devices' value examination focuses on studying past and present price action to
predict the probability of Wearable Devices' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wearable Devices' price. Additionally, you may evaluate how the addition of Wearable Devices to your portfolios can decrease your overall portfolio volatility.