Vroom Stock Forecast - 4 Period Moving Average

VRM Stock  USD 5.24  0.08  1.50%   
The 4 Period Moving Average forecasted value of Vroom Inc on the next trading day is expected to be 5.29 with a mean absolute deviation of 0.48 and the sum of the absolute errors of 27.87. Vroom Stock Forecast is based on your current time horizon. Although Vroom's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Vroom's systematic risk associated with finding meaningful patterns of Vroom fundamentals over time.
  
At this time, Vroom's Inventory Turnover is very stable compared to the past year. As of the 26th of November 2024, Payables Turnover is likely to grow to 52.34, while Receivables Turnover is likely to drop 1.62. . As of the 26th of November 2024, Common Stock Shares Outstanding is likely to drop to about 1.2 M. In addition to that, Net Loss is likely to drop to about (427.1 M).
A four-period moving average forecast model for Vroom Inc is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Vroom 4 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Vroom Inc on the next trading day is expected to be 5.29 with a mean absolute deviation of 0.48, mean absolute percentage error of 0.61, and the sum of the absolute errors of 27.87.
Please note that although there have been many attempts to predict Vroom 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 Vroom's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Vroom Stock Forecast Pattern

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Vroom Forecasted Value

In the context of forecasting Vroom's 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. Vroom's downside and upside margins for the forecasting period are 0.05 and 12.75, respectively. We have considered Vroom's 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
5.24
5.29
Expected Value
12.75
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Vroom stock data series using in forecasting. Note that when a statistical model is used to represent Vroom 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 Criteria112.1031
BiasArithmetic mean of the errors 0.0969
MADMean absolute deviation0.4806
MAPEMean absolute percentage error0.0688
SAESum of the absolute errors27.875
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Vroom. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Vroom Inc and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Vroom

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vroom Inc. 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.
Hype
Prediction
LowEstimatedHigh
0.255.0412.46
Details
Intrinsic
Valuation
LowRealHigh
0.163.1410.56
Details
1 Analysts
Consensus
LowTargetHigh
0.961.061.18
Details

Other Forecasting Options for Vroom

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

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

Vroom Inc 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 Vroom's 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 Vroom's current price.

Vroom Market Strength Events

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

Vroom Risk Indicators

The analysis of Vroom's 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 Vroom's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vroom 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 Vroom Inc is a strong investment it is important to analyze Vroom's 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 Vroom's future performance. For an informed investment choice regarding Vroom Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Vroom to cross-verify your projections.
You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Is Automotive Retail space 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 Vroom. If investors know Vroom 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 Vroom listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(232.92)
Revenue Per Share
356.465
Quarterly Revenue Growth
(0.90)
Return On Assets
(0.09)
Return On Equity
(2.75)
The market value of Vroom Inc is measured differently than its book value, which is the value of Vroom that is recorded on the company's balance sheet. Investors also form their own opinion of Vroom's value that differs from its market value or its book value, called intrinsic value, which is Vroom's 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 Vroom's market value can be influenced by many factors that don't directly affect Vroom's 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 Vroom's value and its price as these two are different measures arrived at by different means. Investors typically determine if Vroom is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Vroom's 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.