First Trust Exchange Traded Etf Net Income
| ILDR Etf | USD 31.15 0.03 0.1% |
As of the 2nd of March, First Trust shows the Standard Deviation of 1.31, variance of 1.73, and Mean Deviation of 0.9838. First Trust Exchange technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices. Please confirm First Trust Exchange market risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and skewness to decide if First Trust Exchange is priced favorably, providing market reflects its regular price of 31.15 per share.
First Trust's 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 First Trust's valuation are provided below:First Trust Exchange Traded does not presently 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. Understanding First Trust Exchange requires distinguishing between market price and book value, where the latter reflects First's accounting equity. The concept of intrinsic value - what First Trust's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push First Trust's price substantially above or below its fundamental value.
Please note, there is a significant difference between First Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if First Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, First Trust's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
First Trust '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 First Trust's 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 First Trust.
| 12/02/2025 |
| 03/02/2026 |
If you would invest 0.00 in First Trust on December 2, 2025 and sell it all today you would earn a total of 0.00 from holding First Trust Exchange Traded or generate 0.0% return on investment in First Trust over 90 days. First Trust is related to or competes with First Trust, Morgan Stanley, Allianzim Large, NestYield Total, VanEck LongFlat, SPDR SP, and Collaborative Investment. Under normal market conditions, the fund will invest at least 80 percent of its net assets in common stock and depositor... More
First Trust 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 First Trust's 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 First Trust Exchange Traded upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 5.98 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 2.04 |
First Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First Trust's standard deviation. In reality, there are many statistical measures that can use First Trust historical prices to predict the future First Trust's volatility.| Risk Adjusted Performance | 0.0018 | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of First Trust's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
First Trust March 2, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0018 | |||
| Market Risk Adjusted Performance | (0) | |||
| Mean Deviation | 0.9838 | |||
| Coefficient Of Variation | (32,090) | |||
| Standard Deviation | 1.31 | |||
| Variance | 1.73 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.01) | |||
| Maximum Drawdown | 5.98 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 2.04 | |||
| Skewness | (0.19) | |||
| Kurtosis | 0.1268 |
First Trust Exchange Backtested Returns
First Trust Exchange secures Sharpe Ratio (or Efficiency) of -0.0545, which denotes the etf had a -0.0545 % return per unit of risk over the last 3 months. First Trust Exchange Traded exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm First Trust's Variance of 1.73, standard deviation of 1.31, and Mean Deviation of 0.9838 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 1.05, which means a somewhat significant risk relative to the market. First Trust returns are very sensitive to returns on the market. As the market goes up or down, First Trust is expected to follow.
Auto-correlation | -0.25 |
Weak reverse predictability
First Trust Exchange Traded has weak reverse predictability. Overlapping area represents the amount of predictability between First Trust time series from 2nd of December 2025 to 16th of January 2026 and 16th of January 2026 to 2nd of March 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 First Trust Exchange price movement. The serial correlation of -0.25 indicates that over 25.0% of current First Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 1.11 |
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, First Trust Exchange Traded reported net income of 0.0. This indicator is about the same for the First Trust average (which is currently at 0.0) family and about the same as Large Growth (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
First Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining First Trust's current stock value. Our valuation model uses many indicators to compare First Trust value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across First Trust competition to find correlations between indicators driving First Trust's intrinsic value. More Info.First Trust Exchange Traded is considered the top ETF in beta as compared to similar ETFs. It also is considered the top ETF in one year return as compared to similar ETFs reporting about 13.36 of One Year Return per Beta. Comparative valuation analysis is a catch-all technique that is used if you cannot value First Trust by discounting back its dividends or cash flows. It compares the stock's price multiples to nearest competition to determine if the stock is relatively undervalued or overvalued.Fund Asset Allocation for First Trust
The fund consists of 98.5% investments in stocks, with the rest of investments allocated between various types of exotic instruments.Asset allocation divides First Trust's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors for a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will manage securities in the fund's portfolio as market conditions and the fund's objectives change.
First Fundamentals
| Beta | 1.43 | |||
| Total Asset | 2.81 M | |||
| One Year Return | 19.10 % | |||
| Three Year Return | 27.30 % | |||
| Net Asset | 2.81 M | |||
| Equity Positions Weight | 98.50 % |
About First Trust Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze First Trust Exchange Traded's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of First Trust using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of First Trust Exchange Traded 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 First Trust
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 First Trust 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 First Trust will appreciate offsetting losses from the drop in the long position's value.Moving together with First Etf
| 0.91 | VUG | Vanguard Growth Index | PairCorr |
| 0.89 | IWF | iShares Russell 1000 | PairCorr |
| 0.92 | IVW | iShares SP 500 | PairCorr |
| 0.92 | SPYG | SPDR Portfolio SP | PairCorr |
| 0.9 | IUSG | iShares Core SP | PairCorr |
Moving against First Etf
The ability to find closely correlated positions to First Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Trust 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 First Trust - 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 First Trust Exchange Traded to buy it.
The correlation of First Trust 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 First Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Trust Exchange 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 First Trust 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Understanding First Trust Exchange requires distinguishing between market price and book value, where the latter reflects First's accounting equity. The concept of intrinsic value - what First Trust's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push First Trust's price substantially above or below its fundamental value.
Please note, there is a significant difference between First Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if First Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, First Trust's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.