Goldman Sachs Etf Technical Analysis
| GDOC Etf | USD 34.92 0.50 1.41% |
As of the 4th of February, Goldman Sachs retains the Downside Deviation of 0.79, risk adjusted performance of 0.0436, and Market Risk Adjusted Performance of 0.0784. 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 Sachs' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Investors evaluate Goldman Sachs ETF using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Goldman Sachs' intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Goldman Sachs' market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Goldman Sachs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Goldman Sachs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Goldman Sachs' market price signifies the transaction level at which participants voluntarily complete trades.
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' etf 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.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Goldman Sachs on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Goldman Sachs ETF or generate 0.0% return on investment in Goldman Sachs over 90 days. Goldman Sachs is related to or competes with Harbor Health, AIM ETF, Clockwise Core, Listed Funds, Principal Exchange, Pacer Small, and Innovator ETFs. The fund invests, under normal circumstances, at least 80 percent of its net assets plus any borrowings for investment p... 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' etf 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 ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.79 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 4.33 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.54 |
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 | 0.0436 | |||
| Jensen Alpha | 0.0151 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0684 |
Goldman Sachs February 4, 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 | 0.0436 | |||
| Market Risk Adjusted Performance | 0.0784 | |||
| Mean Deviation | 0.6952 | |||
| Semi Deviation | 0.7201 | |||
| Downside Deviation | 0.79 | |||
| Coefficient Of Variation | 1753.52 | |||
| Standard Deviation | 0.8869 | |||
| Variance | 0.7865 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.0151 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0684 | |||
| Maximum Drawdown | 4.33 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.54 | |||
| Downside Variance | 0.6241 | |||
| Semi Variance | 0.5186 | |||
| Expected Short fall | (0.77) | |||
| Skewness | 0.4784 | |||
| Kurtosis | 0.2491 |
Goldman Sachs ETF Backtested Returns
At this point, Goldman Sachs is very steady. Goldman Sachs ETF holds Efficiency (Sharpe) Ratio of 0.0162, which attests that the entity had a 0.0162 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Goldman Sachs ETF, which you can use to evaluate the volatility of the entity. Please check out Goldman Sachs' Risk Adjusted Performance of 0.0436, downside deviation of 0.79, and Market Risk Adjusted Performance of 0.0784 to validate if the risk estimate we provide is consistent with the expected return of 0.0147%. The etf retains a Market Volatility (i.e., Beta) of 0.59, 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 | 0.33 |
Below average predictability
Goldman Sachs ETF has below average predictability. Overlapping area represents the amount of predictability between Goldman Sachs time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th of February 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 ETF price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Goldman Sachs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Goldman Sachs technical etf 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, etf market cycles, or different charting patterns.
Goldman Sachs ETF 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 ETF 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 ETF 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 ETF based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Goldman Sachs ETF price pattern first instead of the macroeconomic environment surrounding Goldman Sachs ETF. 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 February 4, 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 | 0.0436 | |||
| Market Risk Adjusted Performance | 0.0784 | |||
| Mean Deviation | 0.6952 | |||
| Semi Deviation | 0.7201 | |||
| Downside Deviation | 0.79 | |||
| Coefficient Of Variation | 1753.52 | |||
| Standard Deviation | 0.8869 | |||
| Variance | 0.7865 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.0151 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0684 | |||
| Maximum Drawdown | 4.33 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.54 | |||
| Downside Variance | 0.6241 | |||
| Semi Variance | 0.5186 | |||
| Expected Short fall | (0.77) | |||
| Skewness | 0.4784 | |||
| Kurtosis | 0.2491 |
Goldman Sachs February 4, 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 | 0.99 | ||
| Day Median Price | 34.92 | ||
| Day Typical Price | 34.92 | ||
| Price Action Indicator | (0.25) |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Goldman Sachs ETF. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Investors evaluate Goldman Sachs ETF using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Goldman Sachs' intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Goldman Sachs' market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Goldman Sachs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Goldman Sachs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Goldman Sachs' market price signifies the transaction level at which participants voluntarily complete trades.