Goldman Sachs Income Fund Technical Analysis
| GSBCX Fund | USD 26.83 0.03 0.11% |
As of the 2nd of March, Goldman Sachs retains the Risk Adjusted Performance of 0.2013, coefficient of variation of 358.31, and Market Risk Adjusted Performance of 0.2465. 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Goldman Sachs' mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Goldman Sachs.
| 12/02/2025 |
| 03/02/2026 |
If you would invest 0.00 in Goldman Sachs on December 2, 2025 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Income or generate 0.0% return on investment in Goldman Sachs over 90 days. Goldman Sachs is related to or competes with Goldman Sachs, Goldman Sachs, Goldman Sachs, Goldman Sachs, Goldman Sachs, Goldman Sachs, and Goldman Sachs. The fund seeks to provide income through investments in fixed income securities and high dividend paying equities, prefe... More
Goldman Sachs Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Goldman Sachs' mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Goldman Sachs Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3442 | |||
| Information Ratio | 0.0166 | |||
| Maximum Drawdown | 2.36 | |||
| Value At Risk | (0.41) | |||
| Potential Upside | 0.576 |
Goldman Sachs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Goldman Sachs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Goldman Sachs' standard deviation. In reality, there are many statistical measures that can use Goldman Sachs historical prices to predict the future Goldman Sachs' volatility.| Risk Adjusted Performance | 0.2013 | |||
| Jensen Alpha | 0.0567 | |||
| Total Risk Alpha | 0.0498 | |||
| Sortino Ratio | 0.0165 | |||
| Treynor Ratio | 0.2365 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Goldman Sachs' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Goldman Sachs March 2, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2013 | |||
| Market Risk Adjusted Performance | 0.2465 | |||
| Mean Deviation | 0.2466 | |||
| Downside Deviation | 0.3442 | |||
| Coefficient Of Variation | 358.31 | |||
| Standard Deviation | 0.3425 | |||
| Variance | 0.1173 | |||
| Information Ratio | 0.0166 | |||
| Jensen Alpha | 0.0567 | |||
| Total Risk Alpha | 0.0498 | |||
| Sortino Ratio | 0.0165 | |||
| Treynor Ratio | 0.2365 | |||
| Maximum Drawdown | 2.36 | |||
| Value At Risk | (0.41) | |||
| Potential Upside | 0.576 | |||
| Downside Variance | 0.1185 | |||
| Semi Variance | (0.03) | |||
| Expected Short fall | (0.29) | |||
| Skewness | 0.5803 | |||
| Kurtosis | 3.59 |
Goldman Sachs Income Backtested Returns
At this stage we consider Goldman Mutual Fund to be very steady. Goldman Sachs Income holds Efficiency (Sharpe) Ratio of 0.25, which attests that the entity had a 0.25 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Goldman Sachs Income, which you can use to evaluate the volatility of the entity. Please check out Goldman Sachs' Coefficient Of Variation of 358.31, market risk adjusted performance of 0.2465, and Risk Adjusted Performance of 0.2013 to validate if the risk estimate we provide is consistent with the expected return of 0.0839%. The fund retains a Market Volatility (i.e., Beta) of 0.36, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Goldman Sachs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Goldman Sachs is expected to be smaller as well.
Auto-correlation | 0.90 |
Excellent predictability
Goldman Sachs Income has excellent predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 2nd of December 2025 to 16th of January 2026 and 16th of January 2026 to 2nd of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Goldman Sachs Income price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.9 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
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 Income Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Goldman Sachs Income across different markets.
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 Income 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 Income based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Goldman Sachs Income price pattern first instead of the macroeconomic environment surrounding Goldman Sachs Income. 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 March 2, 2026 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 | 0.2013 | |||
| Market Risk Adjusted Performance | 0.2465 | |||
| Mean Deviation | 0.2466 | |||
| Downside Deviation | 0.3442 | |||
| Coefficient Of Variation | 358.31 | |||
| Standard Deviation | 0.3425 | |||
| Variance | 0.1173 | |||
| Information Ratio | 0.0166 | |||
| Jensen Alpha | 0.0567 | |||
| Total Risk Alpha | 0.0498 | |||
| Sortino Ratio | 0.0165 | |||
| Treynor Ratio | 0.2365 | |||
| Maximum Drawdown | 2.36 | |||
| Value At Risk | (0.41) | |||
| Potential Upside | 0.576 | |||
| Downside Variance | 0.1185 | |||
| Semi Variance | (0.03) | |||
| Expected Short fall | (0.29) | |||
| Skewness | 0.5803 | |||
| Kurtosis | 3.59 |
Goldman Sachs March 2, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Goldman stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 26.83 | ||
| Day Typical Price | 26.83 | ||
| Price Action Indicator | 0.01 |
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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