| QRFT Etf | | | USD 51.69 0.01 0.02% |
This module uses fundamental data of QRAFT AI to approximate its Piotroski F score. QRAFT AI F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of QRAFT AI Enhanced Large. These three categories are profitability, efficiency, and funding. Some research analysts 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 QRAFT AI financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
QRAFT AI Altman Z Score,
QRAFT AI Correlation,
Portfolio Optimization, as well as analyze
QRAFT AI Alpha and Beta and
QRAFT AI Hype Analysis.
At this time, it appears that QRAFT AI's Piotroski F Score is Inapplicable. 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..
0.0
Piotroski F Score - Inapplicable
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | |
| Change In Outstending Shares | |
QRAFT AI Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to QRAFT AI is to make sure QRAFT is not a subject of accounting manipulations and runs a healthy internal audit department. So, if QRAFT AI's 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 QRAFT AI's financial numbers are properly reported.
About QRAFT AI 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 QRAFT AI Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze QRAFT AI Enhanced Large's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of QRAFT AI using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of QRAFT AI Enhanced Large based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
When determining whether QRAFT AI Enhanced is a good investment, qualitative aspects like company
management, corporate governance, and ethical practices play a significant role. A
comparison with peer companies also provides context and helps to understand if QRAFT Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Qraft Ai Enhanced Large Etf.
Highlighted below are key reports to facilitate an investment decision about Qraft Ai Enhanced Large Etf: The market value of QRAFT AI Enhanced is measured differently than its book value, which is the value of QRAFT that is recorded on the company's balance sheet. Investors also form their own opinion of QRAFT AI's value that differs from its market value or its book value, called intrinsic value, which is QRAFT AI's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because QRAFT AI's market value can be influenced by many factors that don't directly affect QRAFT AI's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between QRAFT AI's value and its price as these two are different measures arrived at by different means. Investors typically determine if QRAFT AI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, QRAFT AI's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.