Avant Brands OTC Stock Forecast - Simple Moving Average

AVTBF Stock  USD 0.36  0.05  12.20%   
The Simple Moving Average forecasted value of Avant Brands on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.08. Avant OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Avant Brands' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Avant Brands 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.

Avant Brands Simple Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the Simple Moving Average forecasted value of Avant Brands on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 1.08.
Please note that although there have been many attempts to predict Avant OTC 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 Avant Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Avant Brands OTC Stock Forecast Pattern

Backtest Avant BrandsAvant Brands Price PredictionBuy or Sell Advice 

Avant Brands Forecasted Value

In the context of forecasting Avant Brands' OTC 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. Avant Brands' downside and upside margins for the forecasting period are 0 and 4.14, respectively. We have considered Avant Brands' 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
0.36
0.36
Expected Value
4.14
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 Avant Brands otc stock data series using in forecasting. Note that when a statistical model is used to represent Avant Brands otc 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 Criteria108.8506
BiasArithmetic mean of the errors 0.0123
MADMean absolute deviation0.0179
MAPEMean absolute percentage error0.0326
SAESum of the absolute errors1.075
The simple moving average model is conceptually a linear regression of the current value of Avant Brands price series against current and previous (unobserved) value of Avant Brands. 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 Avant Brands

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Avant Brands. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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
0.020.364.14
Details
Intrinsic
Valuation
LowRealHigh
0.020.354.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Avant Brands. Your research has to be compared to or analyzed against Avant Brands' peers to derive any actionable benefits. When done correctly, Avant Brands' 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 Avant Brands.

Other Forecasting Options for Avant Brands

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

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

Avant Brands Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Avant Brands' 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 Avant Brands' current price.

Avant Brands Market Strength Events

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

Avant Brands Risk Indicators

The analysis of Avant Brands' 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 Avant Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting avant otc 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

Other Information on Investing in Avant OTC Stock

Avant Brands financial ratios help investors to determine whether Avant OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Avant with respect to the benefits of owning Avant Brands security.