Analyzing historical trends in various income statement and balance sheet accounts from Phoenix Apps' financial statements helps investors evaluate the company's valuation, profitability, and current liquidity needs. Key fundamental drivers impacting Phoenix Apps' valuation are summarized below:
Market Capitalization
4.5 K
There are currently thirty-three trending fundamental ratios for Phoenix Apps that can be evaluated and compared over time across competitors. Investors and active traders are advised to check out Phoenix Apps' recent fundamental performance against the performance between 2010 and 2026 to make sure the trends are evolving in the right direction.
Phoenix Apps shareholders use historical fundamental indicators, such as revenue or net income, to determine how well the company is positioned to perform in the future. Although Phoenix Apps investors may analyze each financial statement separately, they are all interrelated. The changes in Phoenix Apps' assets and liabilities, for example, are also reflected in the revenues and expenses on on Phoenix Apps' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
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 Phoenix Apps 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 Phoenix Apps will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Phoenix Apps could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Phoenix Apps 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 Phoenix Apps - 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 Phoenix Apps to buy it.
The correlation of Phoenix Apps 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 Phoenix Apps moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Phoenix Apps 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 Phoenix Apps 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.
When running Phoenix Apps' price analysis, check to measure Phoenix Apps' 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 Phoenix Apps is operating at the current time. Most of Phoenix Apps' value examination focuses on studying past and present price action to predict the probability of Phoenix Apps' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Phoenix Apps' price. Additionally, you may evaluate how the addition of Phoenix Apps to your portfolios can decrease your overall portfolio volatility.