Goldman Sachs Inflation Fund Technical Analysis
| GSIPX Fund | USD 9.65 0.01 0.10% |
As of the 27th of January, Goldman Sachs retains the Market Risk Adjusted Performance of (0.35), risk adjusted performance of (0.06), and Standard Deviation of 0.1643. 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.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Goldman Sachs on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs Inflation or generate 0.0% return on investment in Goldman Sachs over 90 days. Goldman Sachs is related to or competes with T Rowe, Neiman Large, Gmo Benchmark-free, Guidemark Large, Goldman Sachs, and T Rowe. The fund normally invests at least 80 percent of its net assets plus any borrowings for investment purposes in inflation... 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 Inflation upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.52) | |||
| Maximum Drawdown | 0.7231 | |||
| Value At Risk | (0.21) | |||
| Potential Upside | 0.2081 |
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 | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.36) |
Goldman Sachs January 27, 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 | (0.06) | |||
| Market Risk Adjusted Performance | (0.35) | |||
| Mean Deviation | 0.1258 | |||
| Coefficient Of Variation | (3,596) | |||
| Standard Deviation | 0.1643 | |||
| Variance | 0.027 | |||
| Information Ratio | (0.52) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.36) | |||
| Maximum Drawdown | 0.7231 | |||
| Value At Risk | (0.21) | |||
| Potential Upside | 0.2081 | |||
| Skewness | (0.44) | |||
| Kurtosis | 0.2463 |
Goldman Sachs Inflation Backtested Returns
At this stage we consider Goldman Mutual Fund to be very steady. Goldman Sachs Inflation holds Efficiency (Sharpe) Ratio of 0.0233, which attests that the entity had a 0.0233 % return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Goldman Sachs Inflation, which you can use to evaluate the volatility of the entity. Please check out Goldman Sachs' Standard Deviation of 0.1643, risk adjusted performance of (0.06), and Market Risk Adjusted Performance of (0.35) to validate if the risk estimate we provide is consistent with the expected return of 0.0036%. The fund retains a Market Volatility (i.e., Beta) of 0.0404, which attests to not very significant fluctuations relative to the market. 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 | 0.27 |
Poor predictability
Goldman Sachs Inflation has poor predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 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 Inflation price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 Inflation 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 Inflation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 Inflation 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 Inflation based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Goldman Sachs Inflation price pattern first instead of the macroeconomic environment surrounding Goldman Sachs Inflation. 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 January 27, 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 | (0.06) | |||
| Market Risk Adjusted Performance | (0.35) | |||
| Mean Deviation | 0.1258 | |||
| Coefficient Of Variation | (3,596) | |||
| Standard Deviation | 0.1643 | |||
| Variance | 0.027 | |||
| Information Ratio | (0.52) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.36) | |||
| Maximum Drawdown | 0.7231 | |||
| Value At Risk | (0.21) | |||
| Potential Upside | 0.2081 | |||
| Skewness | (0.44) | |||
| Kurtosis | 0.2463 |
Goldman Sachs January 27, 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 | 9.65 | ||
| Day Typical Price | 9.65 | ||
| Price Action Indicator | 0.00 |
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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