High Roller Technologies, Stock Piotroski F Score

ROLR Stock   5.39  0.19  3.41%   
This module uses fundamental data of High Roller to approximate its Piotroski F score. High Roller F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of High Roller Technologies,. 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 High Roller financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out High Roller Altman Z Score, High Roller Correlation, High Roller Valuation, as well as analyze High Roller Alpha and Beta and High Roller Hype Analysis.
  
At this time, it appears that High Roller's 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
Current Return On Assets

N/A

Focus
Change in Return on Assets

N/A

Focus
Cash Flow Return on Assets

Positive

Focus
Current Quality of Earnings (accrual)

Improving

Focus
Asset Turnover Growth

N/A

Focus
Current Ratio Change

N/A

Focus
Long Term Debt Over Assets Change

N/A

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

N/A

Focus

High Roller Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to High Roller is to make sure High is not a subject of accounting manipulations and runs a healthy internal audit department. So, if High Roller'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 High Roller's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Total Current Liabilities9.5 M9.5 M
Slightly Up
Slightly volatile
Non Current Liabilities Total21.5 K22.6 K
Notably Down
Slightly volatile
Total Assets10.2 M11.8 M
Fairly Down
Very volatile
Total Current Assets3.7 M4.9 M
Way Down
Slightly volatile
Total Cash From Operating Activities993.7 K763 K
Significantly Up
Slightly volatile

High Roller Technologies, 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 High Roller's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards High Roller in a much-optimized way.

About High Roller 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.

Total Assets

10.19 Million

At this time, High Roller's Total Assets are relatively stable compared to the past year.

About High Roller Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze High Roller Technologies,'s financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of High Roller using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of High Roller Technologies, 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.

Pair Trading with High Roller

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if High Roller position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in High Roller will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to High Roller could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace High Roller when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back High Roller - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling High Roller Technologies, to buy it.
The correlation of High Roller is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as High Roller moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if High Roller Technologies, moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for High Roller can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for High Stock Analysis

When running High Roller's price analysis, check to measure High Roller'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 High Roller is operating at the current time. Most of High Roller's value examination focuses on studying past and present price action to predict the probability of High Roller's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move High Roller's price. Additionally, you may evaluate how the addition of High Roller to your portfolios can decrease your overall portfolio volatility.