Goldman Sachs Stock Forecast - Naive Prediction
| GS Stock | USD 931.02 12.14 1.32% |
Goldman Stock outlook is based on your current time horizon.
At this time, The relative strength indicator of Goldman Sachs' share price is at 56. This usually indicates that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Goldman Sachs, making its price go up or down. Momentum 56
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.173 | EPS Estimate Next Quarter 15.0516 | EPS Estimate Current Year 58.1818 | EPS Estimate Next Year 64.5867 | Wall Street Target Price 930.8 |
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 735.8699 | Short Percent 0.0234 | Short Ratio 3.39 | Shares Short Prior Month 6.7 M | 50 Day MA 875.9816 |
Goldman Relative Strength Index
The Naive Prediction forecasted value of Goldman Sachs Group on the next trading day is expected to be 933.82 with a mean absolute deviation of 13.40 and the sum of the absolute errors of 817.24.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 | 0.36 |
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 Naive Prediction forecasted value of Goldman Sachs Group on the next trading day is expected to be 933.82 with a mean absolute deviation of 13.40 and the sum of the absolute errors of 817.24. Goldman Sachs after-hype prediction price | USD 916.4 |
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.
Check out Historical Fundamental Analysis of Goldman Sachs to cross-verify your projections. 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 0.0225% per day over the life of the 2026-04-17 option contract. With Goldman Sachs trading at USD 931.02, that is roughly USD 0.21 . 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 0.36%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Goldman Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Goldman Sachs' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Goldman Sachs' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Goldman Sachs stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Goldman Sachs' open interest, investors have to compare it to Goldman Sachs' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Goldman Sachs is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Goldman. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Goldman Sachs' financial statements to predict how it will affect future prices.
Cash | First Reported 1999-03-31 | Previous Quarter 169 B | Current Value 164 B | Quarterly Volatility 80.1 B |
Goldman Sachs Naive Prediction Price Forecast For the 27th of January
Given 90 days horizon, the Naive Prediction forecasted value of Goldman Sachs Group on the next trading day is expected to be 933.82 with a mean absolute deviation of 13.40, mean absolute percentage error of 326.61, and the sum of the absolute errors of 817.24.Please note that although there have been many attempts to predict Goldman Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Goldman Sachs' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Goldman Sachs Stock Forecast Pattern
| Backtest Goldman Sachs | Goldman Sachs Price Prediction | Buy or Sell Advice |
Goldman Sachs Forecasted Value
In the context of forecasting Goldman Sachs' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Goldman Sachs' downside and upside margins for the forecasting period are 932.11 and 935.53, respectively. We have considered Goldman Sachs' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Goldman Sachs stock data series using in forecasting. Note that when a statistical model is used to represent Goldman Sachs stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 123.8993 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 13.3974 |
| MAPE | Mean absolute percentage error | 0.0156 |
| SAE | Sum of the absolute errors | 817.2433 |
Predictive Modules for Goldman Sachs
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Goldman Sachs Group. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 914.68 and 1,011, 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 outperform 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 |
0.26 | 1.71 | 0.37 | 0.32 | 20 Events / Month | 3 Events / Month | In about 20 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
931.02 | 916.40 | 0.27 |
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Goldman Sachs Hype Timeline
As of January 26, 2026 Goldman Sachs Group is listed for 931.02. The entity has historical hype elasticity of -0.37, and average elasticity to hype of competition of -0.32. Goldman is projected to decline in value after the next headline, with the price expected to drop to 916.4. The average volatility of media hype impact on the company price is about 121.28%. The price decline on the next news is expected to be -0.27%, whereas the daily expected return is currently at 0.26%. The volatility of related hype on Goldman Sachs is about 140.86%, with the expected price after the next announcement by competition of 930.70. About 75.0% of the company shares are owned by institutional investors. The book value of Goldman Sachs was currently reported as 357.46. The company has Price/Earnings To Growth (PEG) ratio of 1.63. Goldman Sachs Group recorded earning per share (EPS) of 51.37. The entity last dividend was issued on the 2nd of March 2026. Allowing for the 90-day total investment horizon the next projected press release will be in about 20 days. Check out Historical Fundamental Analysis of Goldman Sachs 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 | 0.62 | 8 per month | 1.28 | 0.06 | 2.74 | (2.21) | 9.48 | |
| HSBC | HSBC Holdings PLC | 0.46 | 8 per month | 0.64 | 0.25 | 2.07 | (1.85) | 6.86 | |
| AXP | American Express | (3.81) | 7 per month | 1.63 | (0.01) | 2.34 | (2.18) | 7.47 | |
| RY | Royal Bank of | (2.02) | 7 per month | 0.42 | 0.19 | 1.46 | (1.11) | 4.03 | |
| SCHW | Charles Schwab Corp | (1.32) | 7 per month | 1.13 | 0.04 | 2.09 | (2.32) | 5.35 |
Other Forecasting Options for Goldman Sachs
For every potential investor in Goldman, whether a beginner or expert, Goldman Sachs' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Goldman Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Goldman. Basic forecasting techniques help filter out the noise by identifying Goldman Sachs' price trends.Goldman Sachs Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Goldman Sachs stock to make a market-neutral strategy. Peer analysis of Goldman Sachs could also be used in its relative valuation, which is a method of valuing Goldman Sachs by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Goldman Sachs Market Strength Events
Market strength indicators help investors to evaluate how Goldman Sachs stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Goldman Sachs shares will generate the highest return on investment. By undertsting and applying Goldman Sachs stock market strength indicators, traders can identify Goldman Sachs Group entry and exit signals to maximize returns.
Goldman Sachs Risk Indicators
The analysis of Goldman Sachs' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Goldman Sachs' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting goldman stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.35 | |||
| Semi Deviation | 1.34 | |||
| Standard Deviation | 1.76 | |||
| Variance | 3.09 | |||
| Downside Variance | 2.86 | |||
| Semi Variance | 1.8 | |||
| Expected Short fall | (1.42) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Goldman Sachs
The number of cover stories for Goldman Sachs depends on current market conditions and Goldman Sachs' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Goldman Sachs is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Goldman Sachs' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Goldman Sachs Short Properties
Goldman Sachs' future price predictability will typically decrease when Goldman Sachs' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Goldman Sachs Group often depends not only on the future outlook of the potential Goldman Sachs' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Goldman Sachs' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 317.6 M | |
| Cash And Short Term Investments | 498 B |
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.