Quantified Market Leaders Fund Technical Analysis
| QMLFX Fund | USD 11.65 0.16 1.35% |
As of the 22nd of November, Quantified Market holds the Semi Deviation of 1.33, coefficient of variation of 1152.65, and Risk Adjusted Performance of 0.071. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantified Market, as well as the relationship between them.
Quantified Market Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quantified, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QuantifiedQuantified |
Quantified Market 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.
Quantified Market Leaders Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Quantified Market Leaders volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Quantified Market Leaders Trend Analysis
Use this graph to draw trend lines for Quantified Market Leaders. You can use it to identify possible trend reversals for Quantified Market 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 Quantified Market price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Quantified Market Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Quantified Market Leaders applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Quantified Market Leaders will continue generating value for investors. It has 122 observation points and a regression sum of squares at 17.62, which is the sum of squared deviations for the predicted Quantified Market price change compared to its average price change.About Quantified Market 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 Quantified Market Leaders 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 Quantified Market Leaders based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Quantified Market Leaders price pattern first instead of the macroeconomic environment surrounding Quantified Market Leaders. By analyzing Quantified Market'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 Quantified Market'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 Quantified Market specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quantified Market November 22, 2024 Technical Indicators
Most technical analysis of Quantified 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 Quantified from various momentum indicators to cycle indicators. When you analyze Quantified 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 | 0.071 | |||
| Market Risk Adjusted Performance | (2.23) | |||
| Mean Deviation | 1.04 | |||
| Semi Deviation | 1.33 | |||
| Downside Deviation | 1.58 | |||
| Coefficient Of Variation | 1152.65 | |||
| Standard Deviation | 1.46 | |||
| Variance | 2.13 | |||
| Information Ratio | 0.0118 | |||
| Jensen Alpha | 0.122 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | 0.0109 | |||
| Treynor Ratio | (2.24) | |||
| Maximum Drawdown | 7.48 | |||
| Value At Risk | (2.13) | |||
| Potential Upside | 2.32 | |||
| Downside Variance | 2.51 | |||
| Semi Variance | 1.77 | |||
| Expected Short fall | (1.11) | |||
| Skewness | 0.0222 | |||
| Kurtosis | 2.87 |
Other Information on Investing in Quantified Mutual Fund
Quantified Market financial ratios help investors to determine whether Quantified 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 Quantified with respect to the benefits of owning Quantified Market security.
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