Goldman Sachs Technology Fund Technical Analysis
| GISTX Fund | USD 31.34 1.61 0.22% |
As of the 22nd of November, Goldman Sachs retains the Market Risk Adjusted Performance of 0.7526, risk adjusted performance of 0.1062, and Downside Deviation of 1.44. Goldman Sachs technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Goldman Sachs Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Goldman, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GoldmanGoldman |
Goldman Sachs 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.
Goldman Sachs Technology Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Goldman Sachs Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Goldman Sachs Technology Trend Analysis
Use this graph to draw trend lines for Goldman Sachs Technology. You can use it to identify possible trend reversals for Goldman Sachs 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 Goldman Sachs price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Goldman Sachs Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Goldman Sachs Technology applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Goldman Sachs Technology will continue generating value for investors. It has 122 observation points and a regression sum of squares at 221.66, which is the sum of squared deviations for the predicted Goldman Sachs price change compared to its average price change.About Goldman Sachs 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 Goldman Sachs Technology 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 Goldman Sachs Technology based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Goldman Sachs Technology price pattern first instead of the macroeconomic environment surrounding Goldman Sachs Technology. By analyzing Goldman Sachs'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 Goldman Sachs'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 Goldman Sachs specific price patterns or momentum indicators. Please read more on our technical analysis page.
Goldman Sachs November 22, 2024 Technical Indicators
Most technical analysis of Goldman 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 Goldman from various momentum indicators to cycle indicators. When you analyze Goldman 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 | 0.1062 | |||
| Market Risk Adjusted Performance | 0.7526 | |||
| Mean Deviation | 0.8476 | |||
| Semi Deviation | 1.19 | |||
| Downside Deviation | 1.44 | |||
| Coefficient Of Variation | 744.17 | |||
| Standard Deviation | 1.21 | |||
| Variance | 1.47 | |||
| Information Ratio | 0.044 | |||
| Jensen Alpha | 0.1324 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.037 | |||
| Treynor Ratio | 0.7426 | |||
| Maximum Drawdown | 5.44 | |||
| Value At Risk | (2.10) | |||
| Potential Upside | 2.2 | |||
| Downside Variance | 2.08 | |||
| Semi Variance | 1.41 | |||
| Expected Short fall | (0.87) | |||
| Skewness | (0.66) | |||
| Kurtosis | 1.57 |
Other Information on Investing in Goldman Mutual Fund
Goldman Sachs financial ratios help investors to determine whether Goldman 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 Goldman with respect to the benefits of owning Goldman Sachs security.
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