Goldman Sachs Stock Forecast - Polynomial Regression
| GS Stock | USD 423.04 0.96 0.23% |
The Polynomial Regression forecasted value of Goldman Sachs Group on the next trading day is expected to be 413.97 with a mean absolute deviation of 5.45 and the sum of the absolute errors of 337.98. Goldman Stock 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 Group'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. Although Goldman Sachs' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Goldman Sachs' systematic risk associated with finding meaningful patterns of Goldman Sachs fundamentals over time.
Check out Historical Fundamental Analysis of Goldman Sachs to cross-verify your projections. Goldman |
Open Interest Against 2024-04-26 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.
Most investors in Goldman Sachs cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Goldman Sachs' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Goldman Sachs' price structures and extracts relationships that further increase the generated results' accuracy.
Goldman Sachs polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Goldman Sachs Group as well as the accuracy indicators are determined from the period prices. Goldman Sachs Polynomial Regression Price Forecast For the 26th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Goldman Sachs Group on the next trading day is expected to be 413.97 with a mean absolute deviation of 5.45, mean absolute percentage error of 49.49, and the sum of the absolute errors of 337.98.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 412.62 and 415.32, 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 Polynomial Regression 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 | 123.8502 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 5.4513 |
| MAPE | Mean absolute percentage error | 0.0136 |
| SAE | Sum of the absolute errors | 337.9796 |
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.
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 Group Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Goldman Sachs' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Goldman Sachs' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Accumulation Distribution | 18436.98 | |||
| Daily Balance Of Power | (0.19) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 422.1 | |||
| Day Typical Price | 422.41 | |||
| Price Action Indicator | 0.47 | |||
| Period Momentum Indicator | (0.96) | |||
| Relative Strength Index | 60.41 |
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 | 1.01 | |||
| Semi Deviation | 0.9872 | |||
| Standard Deviation | 1.34 | |||
| Variance | 1.79 | |||
| Downside Variance | 1.34 | |||
| Semi Variance | 0.9746 | |||
| Expected Short fall | (1.17) |
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.
Goldman Sachs Investors Sentiment
The influence of Goldman Sachs' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Goldman. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
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.
Goldman Sachs' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Goldman Sachs' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Goldman Sachs' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Goldman Sachs.
Goldman Sachs Implied Volatility | 32.48 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Goldman Sachs in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Goldman Sachs' short interest history, or implied volatility extrapolated from Goldman Sachs options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Goldman Sachs to cross-verify your projections. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Complementary 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.
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |
Is Goldman Sachs' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Goldman Sachs. If investors know Goldman will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Goldman Sachs listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.317 | Dividend Share 10.75 | Earnings Share 25.67 | Revenue Per Share 138.222 | Quarterly Revenue Growth 0.121 |
The market value of Goldman Sachs Group 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.