First Trust (Mexico) Technical Analysis
FGM Etf | MXN 1,027 0.00 0.00% |
As of the 1st of January, First Trust shows the Coefficient Of Variation of 812.4, information ratio of (1.22), and Variance of 1.0E-4. Our technical analysis interface provides you with a way to check existing technical drivers of First Trust Germany, as well as the relationship between them.
First Trust Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as First, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FirstFirst |
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.
First Trust Germany Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of First Trust Germany volatility. High ATR values indicate high volatility, and low values indicate low volatility.
First Trust Germany Trend Analysis
Use this graph to draw trend lines for First Trust Germany. You can use it to identify possible trend reversals for First Trust as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual First Trust price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.First Trust Best Fit Change Line
The following chart estimates an ordinary least squares regression model for First Trust Germany applied against its price change over selected period. The best fit line has a slop of 0.01 , which means First Trust Germany will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4.1, which is the sum of squared deviations for the predicted First Trust price change compared to its average price change.About First Trust Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of First Trust Germany on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of First Trust Germany based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on First Trust Germany price pattern first instead of the macroeconomic environment surrounding First Trust Germany. By analyzing First Trust's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of First Trust's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to First Trust specific price patterns or momentum indicators. Please read more on our technical analysis page.
First Trust January 1, 2025 Technical Indicators
Most technical analysis of First help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for First from various momentum indicators to cycle indicators. When you analyze First charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | (0.89) | |||
Mean Deviation | 0.0019 | |||
Coefficient Of Variation | 812.4 | |||
Standard Deviation | 0.008 | |||
Variance | 1.0E-4 | |||
Information Ratio | (1.22) | |||
Total Risk Alpha | (0.01) | |||
Maximum Drawdown | 0.0653 | |||
Skewness | 8.12 | |||
Kurtosis | 66.0 |
Additional Information and Resources on Investing in First Etf
When determining whether First Trust Germany is a strong investment it is important to analyze First Trust's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact First Trust's future performance. For an informed investment choice regarding First Etf, refer to the following important reports:Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in First Trust Germany. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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. However, First Trust'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.