Marcus Stock Forecast - 8 Period Moving Average

MCS Stock  USD 14.26  0.10  0.71%   
The 8 Period Moving Average forecasted value of Marcus on the next trading day is expected to be 14.22 with a mean absolute deviation of  0.20  and the sum of the absolute errors of 10.56. Marcus Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Marcus stock prices and determine the direction of Marcus's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Marcus' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Marcus' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Marcus' systematic risk associated with finding meaningful patterns of Marcus fundamentals over time.
Check out Historical Fundamental Analysis of Marcus to cross-verify your projections.
For more information on how to buy Marcus Stock please use our How to Invest in Marcus guide.
  
Inventory Turnover is likely to gain to 61.42 in 2024, whereas Payables Turnover is likely to drop 11.70 in 2024. . Common Stock Shares Outstanding is likely to drop to about 31.8 M in 2024. Net Loss is likely to gain to about (10.2 M) in 2024.

Open Interest Against 2024-04-19 Marcus Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Marcus' 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 Marcus' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Marcus 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 Marcus' open interest, investors have to compare it to Marcus' 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 Marcus 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 Marcus. 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 Marcus 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 Marcus' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Marcus' price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Marcus is based on an artificially constructed time series of Marcus daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Marcus 8 Period Moving Average Price Forecast For the 30th of March

Given 90 days horizon, the 8 Period Moving Average forecasted value of Marcus on the next trading day is expected to be 14.22 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.07, and the sum of the absolute errors of 10.56.
Please note that although there have been many attempts to predict Marcus 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 Marcus' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Marcus Stock Forecast Pattern

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Marcus Forecasted Value

In the context of forecasting Marcus' 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. Marcus' downside and upside margins for the forecasting period are 13.11 and 15.34, respectively. We have considered Marcus' 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.
Market Value
14.26
14.22
Expected Value
15.34
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Marcus stock data series using in forecasting. Note that when a statistical model is used to represent Marcus 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.
AICAkaike Information Criteria102.5272
BiasArithmetic mean of the errors -0.0188
MADMean absolute deviation0.1955
MAPEMean absolute percentage error0.0139
SAESum of the absolute errors10.5575
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Marcus 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Marcus

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Marcus. 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 Marcus' 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.
Hype
Prediction
LowEstimatedHigh
13.1514.2615.37
Details
Intrinsic
Valuation
LowRealHigh
13.0414.1515.26
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.0214.3414.66
Details
4 Analysts
Consensus
LowTargetHigh
19.1121.0023.31
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Marcus. Your research has to be compared to or analyzed against Marcus' peers to derive any actionable benefits. When done correctly, Marcus' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Marcus.

Other Forecasting Options for Marcus

For every potential investor in Marcus, whether a beginner or expert, Marcus' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Marcus Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Marcus. Basic forecasting techniques help filter out the noise by identifying Marcus' price trends.

Marcus 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 Marcus stock to make a market-neutral strategy. Peer analysis of Marcus could also be used in its relative valuation, which is a method of valuing Marcus by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Marcus 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 Marcus' 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 Marcus' current price.

Marcus Market Strength Events

Market strength indicators help investors to evaluate how Marcus stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Marcus shares will generate the highest return on investment. By undertsting and applying Marcus stock market strength indicators, traders can identify Marcus entry and exit signals to maximize returns.

Marcus Risk Indicators

The analysis of Marcus' 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 Marcus' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting marcus 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.
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.

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When determining whether Marcus is a strong investment it is important to analyze Marcus' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Marcus' future performance. For an informed investment choice regarding Marcus Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Marcus to cross-verify your projections.
For more information on how to buy Marcus Stock please use our How to Invest in Marcus guide.
Note that the Marcus information on this page should be used as a complementary analysis to other Marcus' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

Complementary Tools for Marcus Stock analysis

When running Marcus' price analysis, check to measure Marcus' 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 Marcus is operating at the current time. Most of Marcus' value examination focuses on studying past and present price action to predict the probability of Marcus' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Marcus' price. Additionally, you may evaluate how the addition of Marcus to your portfolios can decrease your overall portfolio volatility.
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Is Marcus' 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 Marcus. If investors know Marcus 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 Marcus 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
2.695
Dividend Share
0.24
Earnings Share
0.46
Revenue Per Share
21.864
Quarterly Revenue Growth
(0.01)
The market value of Marcus is measured differently than its book value, which is the value of Marcus that is recorded on the company's balance sheet. Investors also form their own opinion of Marcus' value that differs from its market value or its book value, called intrinsic value, which is Marcus' 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 Marcus' market value can be influenced by many factors that don't directly affect Marcus' 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 Marcus' value and its price as these two are different measures arrived at by different means. Investors typically determine if Marcus is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Marcus' 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.