Real Good Stock Forecast - Naive Prediction
| RGF Stock | USD 0.25 0.01 3.85% |
The Naive Prediction forecasted value of Real Good Food on the next trading day is expected to be 0.24 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.97. 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.
Real |
Real Good Cash Forecast
Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Real Good's financial statements, enabling forecasts of their impact on future stock prices.
Cash | First Reported 2010-12-31 | Previous Quarter 6.1 M | Current Value 9.1 M | Quarterly Volatility 7.2 M |
Real Good Naive Prediction Price Forecast For the 27th of November
Given 90 days horizon, the Naive Prediction forecasted value of Real Good Food on the next trading day is expected to be 0.24 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.97.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
| Backtest Real Good | Real Good Price Prediction | Buy or Sell Advice |
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 7.06, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction 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.| AIC | Akaike Information Criteria | 112.1947 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0157 |
| MAPE | Mean absolute percentage error | 0.0448 |
| SAE | Sum of the absolute errors | 0.974 |
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.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.Real Good 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 Real Good stock to make a market-neutral strategy. Peer analysis of Real Good could also be used in its relative valuation, which is a method of valuing Real Good by comparing valuation metrics with similar companies.
| 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Accumulation Distribution | 16110.43 | |||
| Daily Balance Of Power | (0.25) | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 0.26 | |||
| Day Typical Price | 0.26 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) | |||
| Relative Strength Index | 37.08 |
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.
| Mean Deviation | 4.53 | |||
| Standard Deviation | 6.73 | |||
| Variance | 45.34 |
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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
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.