Camelot Event Driven Fund Technical Analysis
| EVDIX Fund | USD 19.62 0.04 0.20% |
As of the 19th of April, Camelot Event shows the Mean Deviation of 0.2256, risk adjusted performance of 0.0225, and Downside Deviation of 0.3212. Camelot Event Driven technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to collect and analyze data for nineteen technical drivers for Camelot Event Driven, which can be compared to its peers. Please confirm Camelot Event Driven coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if Camelot Event Driven is priced correctly, providing market reflects its regular price of 19.62 per share.
Camelot Event Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Camelot, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CamelotCamelot |
Camelot Event 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.
Camelot Event Driven Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Camelot Event Driven volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Camelot Event Driven Trend Analysis
Use this graph to draw trend lines for Camelot Event Driven. You can use it to identify possible trend reversals for Camelot Event 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 Camelot Event price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Camelot Event Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Camelot Event Driven applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Camelot Event Driven will continue generating value for investors. It has 122 observation points and a regression sum of squares at 2.66, which is the sum of squared deviations for the predicted Camelot Event price change compared to its average price change.About Camelot Event 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 Camelot Event Driven 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 Camelot Event Driven based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Camelot Event Driven price pattern first instead of the macroeconomic environment surrounding Camelot Event Driven. By analyzing Camelot Event'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 Camelot Event'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 Camelot Event specific price patterns or momentum indicators. Please read more on our technical analysis page.
Camelot Event April 19, 2024 Technical Indicators
Most technical analysis of Camelot 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 Camelot from various momentum indicators to cycle indicators. When you analyze Camelot 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.
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0225 | |||
| Market Risk Adjusted Performance | 0.0311 | |||
| Mean Deviation | 0.2256 | |||
| Semi Deviation | 0.2533 | |||
| Downside Deviation | 0.3212 | |||
| Coefficient Of Variation | 1841.92 | |||
| Standard Deviation | 0.2938 | |||
| Variance | 0.0863 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.16) | |||
| Treynor Ratio | 0.0211 | |||
| Maximum Drawdown | 1.34 | |||
| Value At Risk | (0.51) | |||
| Potential Upside | 0.5198 | |||
| Downside Variance | 0.1032 | |||
| Semi Variance | 0.0642 | |||
| Expected Short fall | (0.24) | |||
| Skewness | 0.0773 | |||
| Kurtosis | 0.2925 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Camelot Event Driven. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.