US Commodity Three Year Return vs. Price to Earning

Based on the key profitability measurements obtained from US Commodity's financial statements, US Commodity Funds may not be well positioned to generate adequate gross income at the present time. It has a very high likelihood of underperforming in May. Profitability indicators assess US Commodity's ability to earn profits and add value for shareholders.
For US Commodity profitability analysis, we use financial ratios and fundamental drivers that measure the ability of US Commodity to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well US Commodity Funds utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between US Commodity's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of US Commodity Funds over time as well as its relative position and ranking within its peers.
  
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in rate.
The market value of US Commodity Funds is measured differently than its book value, which is the value of UHN that is recorded on the company's balance sheet. Investors also form their own opinion of US Commodity's value that differs from its market value or its book value, called intrinsic value, which is US Commodity'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 US Commodity's market value can be influenced by many factors that don't directly affect US Commodity'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 US Commodity's value and its price as these two are different measures arrived at by different means. Investors typically determine if US Commodity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, US Commodity'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.

US Commodity Funds Price to Earning vs. Three Year Return Fundamental Analysis

UHN Price to Earning vs. Three Year Return

Tree Year Return shows the total annualized return generated from holding a fund or ETFs for the last three years. The return measure includes capital appreciation, losses, dividends paid, and all capital gains distributions. This return indicator is considered by many investors to be solid measures of fund mid-term performance.

US Commodity

Three Year Return

 = 

(Mean of Monthly Returns - 1)

X

100%

 = 
1.39 %
Although Three Year Fund Return indicator can give a sense of overall fund mid-term potential, it is recommended to compare fund performances against other similar funds, ETFs, or market benchmarks for the same 3 year interval.

US Commodity

 = 
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Use US Commodity in pair-trading

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 US Commodity 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 US Commodity will appreciate offsetting losses from the drop in the long position's value.

US Commodity Pair Trading

US Commodity Funds Pair Trading Analysis

The ability to find closely correlated positions to Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft 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 Microsoft - 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 Microsoft to buy it.
The correlation of Microsoft 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 Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft 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 Microsoft 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

Use Investing Themes to Complement your US Commodity position

In addition to having US Commodity in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Did You Try This Idea?

Run Gold ETFs Thematic Idea Now

Gold ETFs
Gold ETFs Theme
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Gold ETFs theme has 20 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Gold ETFs Theme or any other thematic opportunities.
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Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in rate.
Note that the US Commodity Funds information on this page should be used as a complementary analysis to other US Commodity'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 the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.

Other Tools for UHN Etf

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