Real Good Stock Forecast - Simple Moving Average

RGF Stock  USD 0.26  0.01  4.00%   
The Simple Moving Average forecasted value of Real Good Food on the next trading day is expected to be 0.26 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.64. Real Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Real Good's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At this time, Real Good's Receivables Turnover is most likely to drop in the upcoming years. The Real Good's current Asset Turnover is estimated to increase to 1.91, while Fixed Asset Turnover is projected to decrease to 3.13. . The current Common Stock Shares Outstanding is estimated to decrease to about 6.8 M. The current Net Loss is estimated to decrease to about (13.3 M).
A two period moving average forecast for Real Good is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Real Good Simple Moving Average Price Forecast For the 31st of December

Given 90 days horizon, the Simple Moving Average forecasted value of Real Good Food on the next trading day is expected to be 0.26 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.64.
Please note that although there have been many attempts to predict Real 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 Real Good's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Real Good Stock Forecast Pattern

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Real Good Forecasted Value

In the context of forecasting Real Good'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. Real Good's downside and upside margins for the forecasting period are 0 and 4.83, respectively. We have considered Real Good'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
0.26
0.26
Expected Value
4.83
Upside

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 Real Good stock data series using in forecasting. Note that when a statistical model is used to represent Real Good 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 Criteria106.0009
BiasArithmetic mean of the errors 0.0026
MADMean absolute deviation0.0108
MAPEMean absolute percentage error0.0376
SAESum of the absolute errors0.635
The simple moving average model is conceptually a linear regression of the current value of Real Good Food price series against current and previous (unobserved) value of Real Good. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Real Good

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Real Good Food. 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
0.010.254.86
Details
Intrinsic
Valuation
LowRealHigh
0.091.866.47
Details
1 Analysts
Consensus
LowTargetHigh
6.076.677.40
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Real Good. Your research has to be compared to or analyzed against Real Good's peers to derive any actionable benefits. When done correctly, Real Good's 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 Real Good Food.

Other Forecasting Options for Real Good

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

View Real Good Related Equities

 Risk & Return  Correlation

Real Good Food 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 Real Good'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 Real Good's current price.

Real Good Market Strength Events

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

Real Good Risk Indicators

The analysis of Real Good'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 Real Good's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting real 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.

Currently Active Assets on Macroaxis

When determining whether Real Good Food is a strong investment it is important to analyze Real Good'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 Real Good's future performance. For an informed investment choice regarding Real Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Real Good to cross-verify your projections.
You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Is Packaged Foods & Meats 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 Real Good. If investors know Real 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 Real Good listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(2.06)
Revenue Per Share
21.335
Quarterly Revenue Growth
0.48
Return On Assets
(0.18)
Return On Equity
(31.64)
The market value of Real Good Food is measured differently than its book value, which is the value of Real that is recorded on the company's balance sheet. Investors also form their own opinion of Real Good's value that differs from its market value or its book value, called intrinsic value, which is Real Good'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 Real Good's market value can be influenced by many factors that don't directly affect Real Good'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 Real Good's value and its price as these two are different measures arrived at by different means. Investors typically determine if Real Good is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Real Good'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.