College Retirement Equities Fund Technical Analysis
| QCEQRX Fund | USD 522.81 3.17 0.61% |
As of the 31st of January, College Retirement shows the Mean Deviation of 0.6334, downside deviation of 0.9874, and Risk Adjusted Performance of 0.079. Our technical analysis interface gives you tools to check existing technical drivers of College Retirement, as well as the relationship between them.
College Retirement Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as College, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CollegeCollege |
College Retirement technical 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.
College Retirement Technical Analysis
The output start index for this execution was fourty-five with a total number of output elements of sixteen. 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 College Retirement volatility. High ATR values indicate high volatility, and low values indicate low volatility.
College Retirement Trend Analysis
Use this graph to draw trend lines for College Retirement Equities. You can use it to identify possible trend reversals for College Retirement 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 College Retirement price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.College Retirement Best Fit Change Line
The following chart estimates an ordinary least squares regression model for College Retirement Equities applied against its price change over selected period. The best fit line has a slop of 0.13 , which means College Retirement Equities will continue generating value for investors. It has 122 observation points and a regression sum of squares at 671.7, which is the sum of squared deviations for the predicted College Retirement price change compared to its average price change.About College Retirement 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 College Retirement Equities 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 College Retirement Equities based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on College Retirement price pattern first instead of the macroeconomic environment surrounding College Retirement. By analyzing College Retirement'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 College Retirement'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 College Retirement specific price patterns or momentum indicators. Please read more on our technical analysis page.
College Retirement January 31, 2025 Technical Indicators
Most technical analysis of College 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 College from various momentum indicators to cycle indicators. When you analyze College 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 | 0.079 | |||
| Market Risk Adjusted Performance | 0.2023 | |||
| Mean Deviation | 0.6334 | |||
| Semi Deviation | 0.8715 | |||
| Downside Deviation | 0.9874 | |||
| Coefficient Of Variation | 1064.62 | |||
| Standard Deviation | 0.8812 | |||
| Variance | 0.7765 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0387 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.1923 | |||
| Maximum Drawdown | 5.96 | |||
| Value At Risk | (1.42) | |||
| Potential Upside | 1.3 | |||
| Downside Variance | 0.9749 | |||
| Semi Variance | 0.7595 | |||
| Expected Short fall | (0.63) | |||
| Skewness | (0.52) | |||
| Kurtosis | 2.95 |
Other Information on Investing in College Fund
College Retirement financial ratios help investors to determine whether College 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 College with respect to the benefits of owning College Retirement security.
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