Goldman Sachs Group Stock Price Patterns
| GS Stock | USD 928.75 38.34 4.31% |
Momentum 51
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 0.173 | EPS Estimate Next Quarter 15.0516 | EPS Estimate Current Year 58.3615 | EPS Estimate Next Year 65.099 | Wall Street Target Price 950.5 |
Using Goldman Sachs hype-based prediction, you can estimate the value of Goldman Sachs Group from the perspective of Goldman Sachs response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Goldman Sachs using Goldman Sachs' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Goldman using crowd psychology based on the activity and movement of Goldman Sachs' stock price.
Goldman Sachs Short Interest
An investor who is long Goldman Sachs may also wish to track short interest. As short interest increases, investors should be becoming more worried about Goldman Sachs and may potentially protect profits, hedge Goldman Sachs with its derivative instruments, or be ready for some potential downside.
200 Day MA 757.303 | Short Percent 0.0207 | Short Ratio 2.88 | Shares Short Prior Month 7.1 M | 50 Day MA 903.376 |
Goldman Sachs Group Hype to Price Pattern
Investor biases related to Goldman Sachs' public news can be used to forecast risks associated with an investment in Goldman. The trend in average sentiment can be used to explain how an investor holding Goldman can time the market purely based on public headlines and social activities around Goldman Sachs Group. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Goldman Sachs' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Goldman Sachs.
Goldman Sachs Implied Volatility | 0.42 |
Goldman Sachs' implied volatility exposes the market's sentiment of Goldman Sachs Group stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Goldman Sachs' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Goldman Sachs stock will not fluctuate a lot when Goldman Sachs' options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Goldman Sachs to buy its stock at a price that has no basis in reality. In that case, they are not buying Goldman because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Goldman Sachs after-hype prediction price | USD 930.29 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current Goldman contract
Based on the Rule 16, the options market is currently suggesting that Goldman Sachs Group will have an average daily up or down price movement of about 0.0263% per day over the life of the 2026-05-15 option contract. With Goldman Sachs trading at USD 928.75, that is roughly USD 0.24 . If you think that the market is fully incorporating Goldman Sachs' daily price movement you should consider acquiring Goldman Sachs Group options at the current volatility level of 0.42%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out Goldman Sachs Basic Forecasting Models to cross-verify your projections. 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 After-Hype Price Density Analysis
As far as predicting the price of Goldman Sachs at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Goldman Sachs or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Goldman Sachs, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Goldman Sachs Estimiated After-Hype Price Volatility
In the context of predicting Goldman Sachs' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Goldman Sachs' historical news coverage. Goldman Sachs' after-hype downside and upside margins for the prediction period are 928.44 and 932.14, respectively. We have considered Goldman Sachs' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Goldman Sachs is very steady at this time. Analysis and calculation of next after-hype price of Goldman Sachs Group is based on 3 months time horizon.
Goldman Sachs Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Goldman Sachs is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Goldman Sachs backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Goldman Sachs, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.25 | 1.85 | 1.43 | 0.17 | 7 Events / Month | 3 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
928.75 | 930.29 | 0.17 |
|
Goldman Sachs Hype Timeline
As of February 9, 2026 Goldman Sachs Group is listed for 928.75. The entity has historical hype elasticity of 1.43, and average elasticity to hype of competition of -0.17. Goldman is projected to increase in value after the next headline, with the price projected to jump to 930.29 or above. The average volatility of media hype impact on the company the price is about 32.34%. The price appreciation on the next news is projected to be 0.17%, whereas the daily expected return is currently at 0.25%. The volatility of related hype on Goldman Sachs is about 266.57%, with the expected price after the next announcement by competition of 928.58. The company generated the yearly revenue of 125.1 B. Reported Net Income was 14.28 B with gross profit of 49.23 B. Allowing for the 90-day total investment horizon the next projected press release will be in about 7 days. Check out Goldman Sachs Basic Forecasting Models to cross-verify your projections.Goldman Sachs Related Hype Analysis
Having access to credible news sources related to Goldman Sachs' direct competition is more important than ever and may enhance your ability to predict Goldman Sachs' future price movements. Getting to know how Goldman Sachs' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Goldman Sachs may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MS | Morgan Stanley | 0.42 | 8 per month | 1.36 | 0.05 | 2.55 | (2.35) | 9.47 | |
| HSBC | HSBC Holdings PLC | (0.05) | 8 per month | 0.89 | 0.21 | 2.26 | (2.22) | 7.49 | |
| AXP | American Express | (4.30) | 7 per month | 1.67 | (0.06) | 2.34 | (2.18) | 7.47 | |
| RY | Royal Bank of | 1.95 | 7 per month | 0.49 | 0.16 | 1.46 | (1.34) | 4.03 | |
| SCHW | Charles Schwab Corp | (1.49) | 7 per month | 1.14 | 0.08 | 2.14 | (2.32) | 5.35 |
Goldman Sachs Additional Predictive Modules
Most predictive techniques to examine Goldman price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Goldman using various technical indicators. When you analyze Goldman charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
About Goldman Sachs Predictive Indicators
The successful prediction of Goldman Sachs stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Goldman Sachs Group, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Goldman Sachs based on analysis of Goldman Sachs hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Goldman Sachs's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Goldman Sachs's related companies. | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0319 | 0.0239 | 0.0159 | Price To Sales Ratio | 1.21 | 1.48 | 2.2 |
Thematic Opportunities
Explore Investment Opportunities
Additional Tools for Goldman Stock Analysis
When running Goldman Sachs' price analysis, check to measure Goldman Sachs' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Goldman Sachs is operating at the current time. Most of Goldman Sachs' value examination focuses on studying past and present price action to predict the probability of Goldman Sachs' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Goldman Sachs' price. Additionally, you may evaluate how the addition of Goldman Sachs to your portfolios can decrease your overall portfolio volatility.