Goldman Sachs Clean Fund Technical Analysis
GCEHXDelisted Fund | USD 11.08 0.00 0.00% |
As of the 23rd of April, Goldman Sachs retains the Market Risk Adjusted Performance of 1.08, standard deviation of 0.9, and Risk Adjusted Performance of (0.05). 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. Simply put, you can use this information to find out if the entity will indeed mirror its model of historical price patterns, or the prices will eventually revert. We have analyze and collected data for thirteen technical drivers for Goldman Sachs Clean, which can be compared to its competitors. Please check out Goldman Sachs Clean standard deviation and value at risk to decide if Goldman Sachs is priced fairly, providing market reflects its last-minute price of 11.08 per share.
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 Clean Technical Analysis
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Goldman Sachs Clean Trend Analysis
Use this graph to draw trend lines for Goldman Sachs Clean. 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 Clean applied against its price change over selected period. The best fit line has a slop of 0.0094 , which may suggest that Goldman Sachs Clean market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3.36, 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 Clean 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 Clean based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Goldman Sachs Clean price pattern first instead of the macroeconomic environment surrounding Goldman Sachs Clean. 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 April 23, 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 | (0.05) | |||
Market Risk Adjusted Performance | 1.08 | |||
Mean Deviation | 0.6758 | |||
Coefficient Of Variation | (1,110) | |||
Standard Deviation | 0.9 | |||
Variance | 0.8099 | |||
Information Ratio | (0.19) | |||
Jensen Alpha | (0.08) | |||
Total Risk Alpha | (0.21) | |||
Treynor Ratio | 1.07 | |||
Maximum Drawdown | 3.56 | |||
Value At Risk | (1.56) | |||
Potential Upside | 1.49 | |||
Skewness | (0.20) | |||
Kurtosis | 0.0457 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in rate. Note that the Goldman Sachs Clean information on this page should be used as a complementary analysis to other Goldman Sachs' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Other Consideration for investing in Goldman Mutual Fund
If you are still planning to invest in Goldman Sachs Clean check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Goldman Sachs' history and understand the potential risks before investing.
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