Etf Series Solutions Etf Net Income
| WAR Etf | 25.00 0.40 1.63% |
As of the 9th of February, ETF Series shows the downside deviation of 1.8, and Mean Deviation of 1.27. In relation to fundamental indicators, the technical analysis model provides you with a way to check helpful technical drivers of ETF Series, as well as the relationship between them. Please confirm ETF Series Solutions downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if ETF Series Solutions is priced adequately, providing market reflects its regular price of 25.0 per share.
ETF Series' financial statements offer valuable quarterly and annual insights to potential investors, highlighting the company's current and historical financial position, overall management performance, and changes in financial standing over time. Key fundamentals influencing ETF Series' valuation are provided below:ETF Series Solutions does not today have any fundamental signals for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools. The market value of ETF Series Solutions is measured differently than its book value, which is the value of ETF that is recorded on the company's balance sheet. Investors also form their own opinion of ETF Series' value that differs from its market value or its book value, called intrinsic value, which is ETF Series' true underlying value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Because ETF Series' market value can be influenced by many factors that don't directly affect ETF Series' 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 ETF Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if ETF Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, ETF Series' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
ETF Series 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to ETF Series' etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of ETF Series.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in ETF Series on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding ETF Series Solutions or generate 0.0% return on investment in ETF Series over 90 days. ETF Series is related to or competes with MKAM ETF, Harbor ETF, IQ Large, IShares Environmentally, WHITEWOLF Publicly, Amplify ETF, and Matthews International. More
ETF Series Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure ETF Series' etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess ETF Series Solutions upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.8 | |||
| Information Ratio | 0.052 | |||
| Maximum Drawdown | 7.84 | |||
| Value At Risk | (2.71) | |||
| Potential Upside | 2.35 |
ETF Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ETF Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETF Series' standard deviation. In reality, there are many statistical measures that can use ETF Series historical prices to predict the future ETF Series' volatility.| Risk Adjusted Performance | 0.0946 | |||
| Jensen Alpha | 0.1737 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0478 | |||
| Treynor Ratio | 26.81 |
ETF Series February 9, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0946 | |||
| Market Risk Adjusted Performance | 26.82 | |||
| Mean Deviation | 1.27 | |||
| Semi Deviation | 1.64 | |||
| Downside Deviation | 1.8 | |||
| Coefficient Of Variation | 897.1 | |||
| Standard Deviation | 1.65 | |||
| Variance | 2.73 | |||
| Information Ratio | 0.052 | |||
| Jensen Alpha | 0.1737 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0478 | |||
| Treynor Ratio | 26.81 | |||
| Maximum Drawdown | 7.84 | |||
| Value At Risk | (2.71) | |||
| Potential Upside | 2.35 | |||
| Downside Variance | 3.23 | |||
| Semi Variance | 2.7 | |||
| Expected Short fall | (1.38) | |||
| Skewness | (0.47) | |||
| Kurtosis | 0.8508 |
ETF Series Solutions Backtested Returns
Currently, ETF Series Solutions is very steady. ETF Series Solutions secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the etf had a 0.11 % return per unit of return volatility over the last 3 months. We have found twenty-eight technical indicators for ETF Series Solutions, which you can use to evaluate the volatility of the entity. Please confirm ETF Series' downside deviation of 1.8, and Mean Deviation of 1.27 to check if the risk estimate we provide is consistent with the expected return of 0.18%. The etf shows a Beta (market volatility) of 0.0065, which means not very significant fluctuations relative to the market. As returns on the market increase, ETF Series' returns are expected to increase less than the market. However, during the bear market, the loss of holding ETF Series is expected to be smaller as well.
Auto-correlation | 0.45 |
Average predictability
ETF Series Solutions has average predictability. Overlapping area represents the amount of predictability between ETF Series time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ETF Series Solutions price movement. The serial correlation of 0.45 indicates that just about 45.0% of current ETF Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.68 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Based on the recorded statements, ETF Series Solutions reported net income of 0.0. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Technology (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
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About ETF Series Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze ETF Series Solutions's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ETF Series using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of ETF Series Solutions 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.
Pair Trading with ETF Series
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 ETF Series 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 ETF Series will appreciate offsetting losses from the drop in the long position's value.Moving together with ETF Etf
Moving against ETF Etf
| 0.56 | FNGO | MicroSectors FANG Index | PairCorr |
| 0.4 | CIBR | First Trust NASDAQ | PairCorr |
| 0.4 | IGV | iShares Expanded Tech | PairCorr |
The ability to find closely correlated positions to ETF Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ETF Series 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 ETF Series - 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 ETF Series Solutions to buy it.
The correlation of ETF Series 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 ETF Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ETF Series Solutions 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 ETF Series 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.Check out You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
The market value of ETF Series Solutions is measured differently than its book value, which is the value of ETF that is recorded on the company's balance sheet. Investors also form their own opinion of ETF Series' value that differs from its market value or its book value, called intrinsic value, which is ETF Series' true underlying value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Because ETF Series' market value can be influenced by many factors that don't directly affect ETF Series' 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 ETF Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if ETF Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, ETF Series' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.