A2Z SMART Stock Forecast - Naive Prediction

A230 Stock   6.15  0.20  3.36%   
The Naive Prediction forecasted value of A2Z SMART TECHNOLOGIES on the next trading day is expected to be 6.30 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 15.97. Investors can use prediction functions to forecast A2Z SMART's stock prices and determine the direction of A2Z SMART TECHNOLOGIES's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of A2Z SMART's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
A naive forecasting model for A2Z SMART is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of A2Z SMART TECHNOLOGIES value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

A2Z SMART Naive Prediction Price Forecast For the 17th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of A2Z SMART TECHNOLOGIES on the next trading day is expected to be 6.30 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.11, and the sum of the absolute errors of 15.97.
Please note that although there have been many attempts to predict A2Z 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 A2Z SMART's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

A2Z SMART Stock Forecast Pattern

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 A2Z SMART stock data series using in forecasting. Note that when a statistical model is used to represent A2Z SMART 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 Criteria115.947
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2618
MAPEMean absolute percentage error0.085
SAESum of the absolute errors15.9726
This model is not at all useful as a medium-long range forecasting tool of A2Z SMART TECHNOLOGIES. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict A2Z SMART. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for A2Z SMART

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as A2Z SMART TECHNOLOGIES. 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.

A2Z SMART 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 A2Z SMART stock to make a market-neutral strategy. Peer analysis of A2Z SMART could also be used in its relative valuation, which is a method of valuing A2Z SMART by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

A2Z SMART Market Strength Events

Market strength indicators help investors to evaluate how A2Z SMART stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading A2Z SMART shares will generate the highest return on investment. By undertsting and applying A2Z SMART stock market strength indicators, traders can identify A2Z SMART TECHNOLOGIES entry and exit signals to maximize returns.

A2Z SMART Risk Indicators

The analysis of A2Z SMART'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 A2Z SMART's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting a2z 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.

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