QAITX Piotroski F Score

QAITX
 Fund
  

USD 9.53  0.10  1.06%   

This module uses fundamental data of Q3 All-Weather to approximate its Piotroski F score. Q3 All-Weather F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Q3 All-Weather Tactical. 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 Q3 All-Weather financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Please see Q3 All-Weather Altman Z Score, Q3 All-Weather Correlation, Portfolio Optimization, as well as analyze Q3 All-Weather Alpha and Beta and Q3 All-Weather Hype Analysis.
  
At this time, it appears that Q3 All-Weather'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
1
Current Return On AssetsN/AFocus
2
Change in Return on AssetsN/AFocus
3
Cash Flow Return on AssetsN/AFocus
4
Current Quality of Earnings (accrual)N/AFocus
5
Asset Turnover GrowthN/AFocus
6
Current Ratio ChangeN/AFocus
7
Long Term Debt Over Assets ChangeN/AFocus
8
Change In Outstending SharesN/AFocus
9
Change in Gross MarginN/AFocus

Q3 All-Weather Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Q3 All-Weather is to make sure QAITX is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Q3 All-Weather'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 Q3 All-Weather's financial numbers are properly reported.

About Q3 All-Weather 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 Q3 All-Weather Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Q3 All-Weather Tactical's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Q3 All-Weather using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Q3 All-Weather Tactical based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, 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.
Under normal circumstances, the fund will invest in shares of other investment companies and similar products that operate as broad-based index ETFs, open-end mutual funds, closed-end funds, and real estate investment trusts . Q3 All-Weather is traded on NASDAQ Exchange in the United States.

Q3 All-Weather Investors Sentiment

The influence of Q3 All-Weather's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in QAITX. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Q3 All-Weather in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Q3 All-Weather's short interest history, or implied volatility extrapolated from Q3 All-Weather options trading.

Currently Active Assets on Macroaxis

Please see Q3 All-Weather Altman Z Score, Q3 All-Weather Correlation, Portfolio Optimization, as well as analyze Q3 All-Weather Alpha and Beta and Q3 All-Weather Hype Analysis. Note that the Q3 All-Weather Tactical information on this page should be used as a complementary analysis to other Q3 All-Weather's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

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When running Q3 All-Weather Tactical price analysis, check to measure Q3 All-Weather's 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 Q3 All-Weather is operating at the current time. Most of Q3 All-Weather's value examination focuses on studying past and present price action to predict the probability of Q3 All-Weather's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Q3 All-Weather's price. Additionally, you may evaluate how the addition of Q3 All-Weather to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Q3 All-Weather's value and its price as these two are different measures arrived at by different means. Investors typically determine Q3 All-Weather value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Q3 All-Weather'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.