Goldman Sachs Etf Forecast - Simple Moving Average
| GSLC Etf | USD 133.32 0.19 0.14% |
The Simple Moving Average forecasted value of Goldman Sachs ActiveBeta on the next trading day is expected to be 133.22 with a mean absolute deviation of 0.85 and the sum of the absolute errors of 50.18. Goldman Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Goldman Sachs stock prices and determine the direction of Goldman Sachs ActiveBeta's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Goldman Sachs' historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength momentum indicator of Goldman Sachs' share price is below 20 . This usually indicates that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Goldman Sachs hype-based prediction, you can estimate the value of Goldman Sachs ActiveBeta 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 Implied Volatility | 0.15 |
Goldman Sachs' implied volatility exposes the market's sentiment of Goldman Sachs ActiveBeta 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 Simple Moving Average forecasted value of Goldman Sachs ActiveBeta on the next trading day is expected to be 133.22 with a mean absolute deviation of 0.85 and the sum of the absolute errors of 50.18. Goldman Sachs after-hype prediction price | USD 133.17 |
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 etf 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 ActiveBeta will have an average daily up or down price movement of about 0.009375% per day over the life of the 2026-04-17 option contract. With Goldman Sachs trading at USD 133.32, that is roughly USD 0.0125 . If you think that the market is fully incorporating Goldman Sachs' daily price movement you should consider acquiring Goldman Sachs ActiveBeta options at the current volatility level of 0.15%. 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Goldman Sachs Simple Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Goldman Sachs ActiveBeta on the next trading day is expected to be 133.22 with a mean absolute deviation of 0.85, mean absolute percentage error of 1.18, and the sum of the absolute errors of 50.18.Please note that although there have been many attempts to predict Goldman Etf 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 Etf Forecast Pattern
| Backtest Goldman Sachs | Goldman Sachs Price Prediction | Buy or Sell Advice |
Goldman Sachs Forecasted Value
In the context of forecasting Goldman Sachs' Etf 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 132.51 and 133.94, 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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Goldman Sachs etf data series using in forecasting. Note that when a statistical model is used to represent Goldman Sachs etf, 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 | 114.5971 |
| Bias | Arithmetic mean of the errors | -0.0157 |
| MAD | Mean absolute deviation | 0.8506 |
| MAPE | Mean absolute percentage error | 0.0065 |
| SAE | Sum of the absolute errors | 50.185 |
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 ActiveBeta. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Goldman Sachs After-Hype Price Prediction 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 Etf 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' etf 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 132.45 and 133.89, 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 ActiveBeta is based on 3 months time horizon.
Goldman Sachs Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF 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 Etf 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 |
0.01 | 0.72 | 0.00 | 0.00 | 10 Events / Month | 4 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
133.32 | 133.17 | 0.03 |
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Goldman Sachs Hype Timeline
Goldman Sachs ActiveBeta is currently traded for 133.32. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Goldman is expected to increase in value after the next headline, with the price projected to jump to 133.17 or above. The average volatility of media hype impact on the company the price is about 171.43%. The price growth on the next news is projected to be 0.03%, whereas the daily expected return is currently at 0.01%. The volatility of related hype on Goldman Sachs is about 1142.86%, with the expected price after the next announcement by competition of 133.32. Given the investment horizon of 90 days the next expected press release will be in about 10 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 | |||
| IWO | iShares Russell 2000 | 3.02 | 6 per month | 1.27 | 0.03 | 1.95 | (2.14) | 5.69 | |
| SPHQ | Invesco SP 500 | 0.22 | 8 per month | 0.59 | (0.04) | 1.27 | (1.11) | 3.03 | |
| ESGU | iShares ESG Aware | (1.90) | 6 per month | 0.83 | (0.06) | 1.14 | (1.25) | 3.72 | |
| SPEM | SPDR Portfolio Emerging | 0.10 | 9 per month | 0.48 | (0.01) | 1.12 | (1.01) | 2.92 | |
| DGRW | WisdomTree Quality Dividend | (0.23) | 2 per month | 0.50 | (0.10) | 0.90 | (0.95) | 2.88 | |
| BBJP | JPMorgan BetaBuilders Japan | 0.33 | 1 per month | 0.81 | 0.02 | 1.90 | (1.50) | 4.39 | |
| IWV | iShares Russell 3000 | (2.91) | 7 per month | 0.77 | (0.05) | 1.22 | (1.27) | 3.43 | |
| VONV | Vanguard Russell 1000 | (0.18) | 3 per month | 0.47 | 0.05 | 1.34 | (1.05) | 3.01 | |
| SPMD | SPDR Russell Small | 0.50 | 6 per month | 0.74 | 0.04 | 1.80 | (1.37) | 3.78 | |
| VFH | Vanguard Financials Index | 0.42 | 4 per month | 0.85 | (0.03) | 1.40 | (1.74) | 4.47 |
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 Etf 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 etf 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 etf 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 etf market strength indicators, traders can identify Goldman Sachs ActiveBeta 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 etf 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 | 0.5524 | |||
| Semi Deviation | 0.7889 | |||
| Standard Deviation | 0.724 | |||
| Variance | 0.5241 | |||
| Downside Variance | 0.7622 | |||
| Semi Variance | 0.6223 | |||
| Expected Short fall | (0.52) |
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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Check out Historical Fundamental Analysis of Goldman Sachs to cross-verify your projections. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
The market value of Goldman Sachs ActiveBeta is measured differently than its book value, which is the value of Goldman that is recorded on the company's balance sheet. Investors also form their own opinion of Goldman Sachs' value that differs from its market value or its book value, called intrinsic value, which is Goldman Sachs' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Goldman Sachs' market value can be influenced by many factors that don't directly affect Goldman Sachs' underlying business (such as a pandemic or basic market pessimism), market value can vary widely 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. However, Goldman Sachs' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.