Tortoise Energy Independence Fund Technical Analysis
XNDPX Fund | USD 44.62 0.04 0.09% |
As of the 1st of December, Tortoise Energy has the Risk Adjusted Performance of 0.1272, semi deviation of 1.12, and Coefficient Of Variation of 620.19. Our technical analysis interface makes it possible for you to check existing technical drivers of Tortoise Energy Inde, as well as the relationship between them.
Tortoise Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Tortoise, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TortoiseTortoise |
Tortoise Energy 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.
Tortoise Energy Inde Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Tortoise Energy Inde volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Tortoise Energy Inde Trend Analysis
Use this graph to draw trend lines for Tortoise Energy Independence. You can use it to identify possible trend reversals for Tortoise Energy 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 Tortoise Energy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Tortoise Energy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Tortoise Energy Independence applied against its price change over selected period. The best fit line has a slop of 0.12 , which means Tortoise Energy Independence will continue generating value for investors. It has 122 observation points and a regression sum of squares at 537.62, which is the sum of squared deviations for the predicted Tortoise Energy price change compared to its average price change.About Tortoise Energy 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 Tortoise Energy Independence 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 Tortoise Energy Independence based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Tortoise Energy Inde price pattern first instead of the macroeconomic environment surrounding Tortoise Energy Inde. By analyzing Tortoise Energy'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 Tortoise Energy'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 Tortoise Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
Tortoise Energy December 1, 2024 Technical Indicators
Most technical analysis of Tortoise 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 Tortoise from various momentum indicators to cycle indicators. When you analyze Tortoise 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 | 0.1272 | |||
Market Risk Adjusted Performance | 0.2887 | |||
Mean Deviation | 0.9122 | |||
Semi Deviation | 1.12 | |||
Downside Deviation | 1.5 | |||
Coefficient Of Variation | 620.19 | |||
Standard Deviation | 1.25 | |||
Variance | 1.57 | |||
Information Ratio | 0.0513 | |||
Jensen Alpha | 0.104 | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | 0.0427 | |||
Treynor Ratio | 0.2787 | |||
Maximum Drawdown | 6.62 | |||
Value At Risk | (2.38) | |||
Potential Upside | 1.83 | |||
Downside Variance | 2.26 | |||
Semi Variance | 1.25 | |||
Expected Short fall | (0.94) | |||
Skewness | (0.24) | |||
Kurtosis | 1.53 |
Other Information on Investing in Tortoise Mutual Fund
Tortoise Energy financial ratios help investors to determine whether Tortoise 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 Tortoise with respect to the benefits of owning Tortoise Energy security.
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities |