Q3 All Season Systematic Fund Technical Analysis
| QASOX Fund | 10.04 0.11 1.11% |
As of the 27th of December, Q3 All owns the market risk adjusted performance of 9.26, and Standard Deviation of 0.5739. In connection with fundamental indicators, the technical analysis model allows you to check timely technical drivers of Q3 All Season, as well as the relationship between them.
Q3 All Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as QASOX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QASOXQASOX |
Q3 All 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.
Q3 All Season 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 Q3 All Season volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Q3 All Season Trend Analysis
Use this graph to draw trend lines for Q3 All Season Systematic. You can use it to identify possible trend reversals for Q3 All 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 Q3 All price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Q3 All Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Q3 All Season Systematic applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Q3 All Season Systematic will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1.95, which is the sum of squared deviations for the predicted Q3 All price change compared to its average price change.About Q3 All 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 Q3 All Season Systematic 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 Q3 All Season Systematic based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Q3 All Season price pattern first instead of the macroeconomic environment surrounding Q3 All Season. By analyzing Q3 All'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 Q3 All'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 Q3 All specific price patterns or momentum indicators. Please read more on our technical analysis page.
Q3 All December 27, 2024 Technical Indicators
Most technical analysis of QASOX 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 QASOX from various momentum indicators to cycle indicators. When you analyze QASOX 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 | 0.1192 | |||
| Market Risk Adjusted Performance | 9.26 | |||
| Mean Deviation | 0.3391 | |||
| Semi Deviation | 0.4131 | |||
| Downside Deviation | 1.05 | |||
| Coefficient Of Variation | 647.55 | |||
| Standard Deviation | 0.5739 | |||
| Variance | 0.3294 | |||
| Information Ratio | 0.0983 | |||
| Jensen Alpha | 0.0784 | |||
| Total Risk Alpha | 0.0626 | |||
| Sortino Ratio | 0.0539 | |||
| Treynor Ratio | 9.25 | |||
| Maximum Drawdown | 3.09 | |||
| Value At Risk | (0.42) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 1.1 | |||
| Semi Variance | 0.1706 | |||
| Expected Short fall | (0.58) | |||
| Skewness | (1.29) | |||
| Kurtosis | 5.8 |
Other Information on Investing in QASOX Mutual Fund
Q3 All financial ratios help investors to determine whether QASOX 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 QASOX with respect to the benefits of owning Q3 All security.
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas |