Borealis Foods Stock Forecast - 8 Period Moving Average

BRLSW Stock   0.07  0.0003  0.46%   
The 8 Period Moving Average forecasted value of Borealis Foods on the next trading day is expected to be 0.06 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.16. Borealis Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 3.05 in 2024. Payables Turnover is likely to drop to 2.31 in 2024. Common Stock Shares Outstanding is likely to drop to about 6.2 M in 2024.
An 8-period moving average forecast model for Borealis Foods is based on an artificially constructed time series of Borealis Foods 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.

Borealis Foods 8 Period Moving Average Price Forecast For the 9th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Borealis Foods on the next trading day is expected to be 0.06 with a mean absolute deviation of 0, mean absolute percentage error of 0.000014, and the sum of the absolute errors of 0.16.
Please note that although there have been many attempts to predict Borealis 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 Borealis Foods' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Borealis Foods Stock Forecast Pattern

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Borealis Foods Forecasted Value

In the context of forecasting Borealis Foods' 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. Borealis Foods' downside and upside margins for the forecasting period are 0.0006 and 5.25, respectively. We have considered Borealis Foods' 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
0.07
0.0006
Downside
0.06
Expected Value
5.25
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 Borealis Foods stock data series using in forecasting. Note that when a statistical model is used to represent Borealis Foods 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 Criteria94.0631
BiasArithmetic mean of the errors -7.0E-4
MADMean absolute deviation0.003
MAPEMean absolute percentage error0.0445
SAESum of the absolute errors0.1595
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. Borealis Foods 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Borealis Foods

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Borealis Foods. 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 Borealis Foods' 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
0.000.075.26
Details
Intrinsic
Valuation
LowRealHigh
0.000.055.24
Details

Other Forecasting Options for Borealis Foods

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

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

Borealis Foods 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 Borealis Foods' 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 Borealis Foods' current price.

Borealis Foods Market Strength Events

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

Borealis Foods Risk Indicators

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

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 Tools for Borealis Stock Analysis

When running Borealis Foods' price analysis, check to measure Borealis Foods' 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 Borealis Foods is operating at the current time. Most of Borealis Foods' value examination focuses on studying past and present price action to predict the probability of Borealis Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Borealis Foods' price. Additionally, you may evaluate how the addition of Borealis Foods to your portfolios can decrease your overall portfolio volatility.