First Trust Exchange Traded Etf Market Value
| MMLG Etf | USD 32.52 0.00 0.00% |
| Symbol | First |
The market value of First Trust Exchange is measured differently than its book value, which is the value of First that is recorded on the company's balance sheet. Investors also form their own opinion of First Trust's value that differs from its market value or its book value, called intrinsic value, which is First Trust's true underlying value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Because First Trust's market value can be influenced by many factors that don't directly affect First Trust's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that First Trust's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether First Trust represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, First Trust's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
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.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in First Trust on November 18, 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 KraneShares Artificial, Exchange Listed, Advisors Series, American Century, Fidelity Covington, Franklin Income, and Alger ETF. Under normal market conditions, the fund will invest at least 80 percent of its net assets in equity securities issued b... 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 | (0.19) | |||
| Maximum Drawdown | 5.6 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 1.68 |
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 | (0.10) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | (0.19) |
First Trust February 16, 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 | (0.10) | |||
| Market Risk Adjusted Performance | (0.18) | |||
| Mean Deviation | 0.9601 | |||
| Coefficient Of Variation | (772.25) | |||
| Standard Deviation | 1.23 | |||
| Variance | 1.52 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | (0.19) | |||
| Maximum Drawdown | 5.6 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 1.68 | |||
| Skewness | (0.27) | |||
| Kurtosis | 0.1086 |
First Trust Exchange Backtested Returns
First Trust Exchange secures Sharpe Ratio (or Efficiency) of -0.0641, which denotes the etf had a -0.0641 % return per unit of risk over the last 3 months. First Trust Exchange Traded exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm First Trust's Standard Deviation of 1.23, mean deviation of 0.9601, and Variance of 1.52 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.91, which means possible diversification benefits within a given portfolio. 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 | -0.37 |
Poor reverse predictability
First Trust Exchange Traded has poor reverse predictability. Overlapping area represents the amount of predictability between First Trust time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 First Trust Exchange price movement. The serial correlation of -0.37 indicates that just about 37.0% of current First Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 1.29 |
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Check out First Trust Correlation, First Trust Volatility and First Trust Performance module to complement your research on First Trust. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
First Trust technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.