Small Cap Equity Fund Technical Analysis
| GTCSX Fund | USD 35.75 0.68 1.87% |
As of the 24th of November, Small Cap has the Coefficient Of Variation of 1284.13, risk adjusted performance of 0.0636, and Semi Deviation of 0.8063. Small Cap technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the fund's future prices.
Small Cap Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Small, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmallSmall |
Small Cap 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.
Small Cap Equity 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 Small Cap Equity volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Small Cap Equity Trend Analysis
Use this graph to draw trend lines for Small Cap Equity. You can use it to identify possible trend reversals for Small Cap 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 Small Cap price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Small Cap Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Small Cap Equity applied against its price change over selected period. The best fit line has a slop of 0.04 , which means Small Cap Equity will continue generating value for investors. It has 122 observation points and a regression sum of squares at 64.83, which is the sum of squared deviations for the predicted Small Cap price change compared to its average price change.About Small Cap 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 Small Cap Equity 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 Small Cap Equity based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Small Cap Equity price pattern first instead of the macroeconomic environment surrounding Small Cap Equity. By analyzing Small Cap'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 Small Cap'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 Small Cap specific price patterns or momentum indicators. Please read more on our technical analysis page.
Small Cap November 24, 2024 Technical Indicators
Most technical analysis of Small 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 Small from various momentum indicators to cycle indicators. When you analyze Small 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 | 0.0636 | |||
| Market Risk Adjusted Performance | 0.8569 | |||
| Mean Deviation | 0.8725 | |||
| Semi Deviation | 0.8063 | |||
| Downside Deviation | 0.9012 | |||
| Coefficient Of Variation | 1284.13 | |||
| Standard Deviation | 1.25 | |||
| Variance | 1.55 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0746 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.8469 | |||
| Maximum Drawdown | 7.13 | |||
| Value At Risk | (1.51) | |||
| Potential Upside | 1.96 | |||
| Downside Variance | 0.8121 | |||
| Semi Variance | 0.6502 | |||
| Expected Short fall | (1.12) | |||
| Skewness | 1.56 | |||
| Kurtosis | 5.79 |
Other Information on Investing in Small Mutual Fund
Small Cap financial ratios help investors to determine whether Small 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 Small with respect to the benefits of owning Small Cap security.
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |