The Hartford Emerging Fund Technical Analysis
| HLDRX Fund | USD 4.63 0.01 0.22% |
As of the 27th of July, The Hartford has the Coefficient Of Variation of 976.26, semi deviation of 0.2754, and Risk Adjusted Performance of 0.0625. The Hartford technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the fund's future prices.
The Hartford Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as The, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TheThe |
The Hartford technical mutual fund 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, fund market cycles, or different charting patterns.
Hartford Emerging Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Hartford Emerging volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Hartford Emerging Trend Analysis
Use this graph to draw trend lines for The Hartford Emerging. You can use it to identify possible trend reversals for The Hartford 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 The Hartford price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.The Hartford Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The Hartford Emerging applied against its price change over selected period. The best fit line has a slop of 0.0004 , which means The Hartford Emerging will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted The Hartford price change compared to its average price change.About The Hartford 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 The Hartford Emerging 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 The Hartford Emerging based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Hartford Emerging price pattern first instead of the macroeconomic environment surrounding Hartford Emerging. By analyzing The Hartford'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 The Hartford'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 The Hartford specific price patterns or momentum indicators. Please read more on our technical analysis page.
The Hartford July 27, 2024 Technical Indicators
Most technical analysis of The 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 The from various momentum indicators to cycle indicators. When you analyze The 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 | 0.0625 | |||
| Market Risk Adjusted Performance | 0.2585 | |||
| Mean Deviation | 0.3025 | |||
| Semi Deviation | 0.2754 | |||
| Downside Deviation | 0.4784 | |||
| Coefficient Of Variation | 976.26 | |||
| Standard Deviation | 0.396 | |||
| Variance | 0.1568 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | 0.0217 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.2485 | |||
| Maximum Drawdown | 1.75 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 0.6652 | |||
| Downside Variance | 0.2289 | |||
| Semi Variance | 0.0759 | |||
| Expected Short fall | (0.40) | |||
| Skewness | 0.0227 | |||
| Kurtosis | (0.12) |
Hartford Emerging One Year Return
Based on the recorded statements, The Hartford Emerging has an One Year Return of 0.6003%. This is 88.25% lower than that of the Hartford Mutual Funds family and significantly higher than that of the Emerging-Markets Local-Currency Bond category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Other Information on Investing in The Mutual Fund
The Hartford financial ratios help investors to determine whether The Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in The with respect to the benefits of owning The Hartford security.
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