# Above Food Stock Forecast - Simple Regression

 ABVE Stock 1.39  0.09  6.92%
The Simple Regression forecasted value of Above Food Ingredients on the next trading day is expected to be 0.03 with a mean absolute deviation of 1.59 and the sum of the absolute errors of 97.00. Above Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Above Food stock prices and determine the direction of Above Food Ingredients's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Above Food's historical fundamentals, such as revenue growth or operating cash flow patterns.
 Above
The current year's Inventory Turnover is expected to grow to 15.11, whereas Payables Turnover is forecasted to decline to 5.58. . As of August 11, 2024, Common Stock Shares Outstanding is expected to decline to about 20.7 M.
Most investors in Above Food 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 Above Food's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Above Food's price structures and extracts relationships that further increase the accuracy of the generated results. Simple Regression model is a single variable regression model that attempts to put a straight line through Above Food price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

## Above Food Simple Regression Price Forecast For the 12th of August 2024

Given 90 days horizon, the Simple Regression forecasted value of Above Food Ingredients on the next trading day is expected to be 0.03 with a mean absolute deviation of 1.59, mean absolute percentage error of 3.64, and the sum of the absolute errors of 97.00.
Please note that although there have been many attempts to predict Above 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 Above Food's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

## Above Food Forecasted Value

In the context of forecasting Above Food'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. Above Food's downside and upside margins for the forecasting period are 0.01 and 13.04, respectively. We have considered Above Food'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
 0.01Downside 0.03Expected ValueTarget Odds 13.04Upside

## Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Above Food stock data series using in forecasting. Note that when a statistical model is used to represent Above Food 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 119.402 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 1.5902 MAPE Mean absolute percentage error 0.405 SAE Sum of the absolute errors 97.0005
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Above Food Ingredients historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

## Predictive Modules for Above Food

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Above Food Ingredients. 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 Above Food's 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
 Low Estimated High 0.05 1.03 14.15
Intrinsic
Valuation
 Low Real High 0.07 1.33 14.45

## Other Forecasting Options for Above Food

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

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

## Above Food Ingredients 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 Above Food'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 Above Food's current price.
 Cycle Indicators Math Operators Math Transform Momentum Indicators Overlap Studies Pattern Recognition Price Transform Statistic Functions Volatility Indicators Volume Indicators

## Above Food Market Strength Events

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

## Above Food Risk Indicators

The analysis of Above Food'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 Above Food's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting above 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 7.85 Standard Deviation 12.63 Variance 159.46
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.

## Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

## Additional Information and Resources on Investing in Above Stock

When determining whether Above Food Ingredients is a strong investment it is important to analyze Above Food'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 Above Food's future performance. For an informed investment choice regarding Above Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Above Food to cross-verify your projections.
You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Is Food Products 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 Above Food. If investors know Above 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 Above Food listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Above Food Ingredients is measured differently than its book value, which is the value of Above that is recorded on the company's balance sheet. Investors also form their own opinion of Above Food's value that differs from its market value or its book value, called intrinsic value, which is Above Food'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 Above Food's market value can be influenced by many factors that don't directly affect Above Food'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 Above Food's value and its price as these two are different measures arrived at by different means. Investors typically determine if Above Food is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Above Food'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.