A2Z Smart Stock Forecast - Naive Prediction
| AZ Stock | USD 6.43 0.01 0.16% |
The Naive Prediction forecasted value of A2Z Smart Technologies on the next trading day is expected to be 6.73 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.54. A2Z Stock Forecast is based on your current time horizon.
A2Z |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the A2Z Smart's financial statements to predict how it will affect future prices.
Cash | First Reported 2018-03-31 | Previous Quarter 653 K | Current Value 3.4 M | Quarterly Volatility 2.8 M |
A2Z Smart Naive Prediction Price Forecast For the 23rd of November
Given 90 days horizon, the Naive Prediction forecasted value of A2Z Smart Technologies on the next trading day is expected to be 6.73 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.12, and the sum of the absolute errors of 16.54.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
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A2Z Smart Forecasted Value
In the context of forecasting A2Z Smart'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. A2Z Smart's downside and upside margins for the forecasting period are 0.06 and 14.57, respectively. We have considered A2Z Smart'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 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.| AIC | Akaike Information Criteria | 115.9511 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2712 |
| MAPE | Mean absolute percentage error | 0.0925 |
| SAE | Sum of the absolute errors | 16.5446 |
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.Other Forecasting Options for A2Z Smart
For every potential investor in A2Z, whether a beginner or expert, A2Z Smart's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. A2Z Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in A2Z. Basic forecasting techniques help filter out the noise by identifying A2Z Smart's price trends.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 Technologies 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 A2Z Smart'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 A2Z Smart's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
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.
| Mean Deviation | 5.77 | |||
| Semi Deviation | 3.96 | |||
| Standard Deviation | 7.84 | |||
| Variance | 61.46 | |||
| Downside Variance | 23.37 | |||
| Semi Variance | 15.67 | |||
| Expected Short fall | (7.43) |
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 A2Z Stock Analysis
When running A2Z Smart's price analysis, check to measure A2Z Smart's 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 A2Z Smart is operating at the current time. Most of A2Z Smart's value examination focuses on studying past and present price action to predict the probability of A2Z Smart's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move A2Z Smart's price. Additionally, you may evaluate how the addition of A2Z Smart to your portfolios can decrease your overall portfolio volatility.