AzureWave Technologies Stock Forecast - 8 Period Moving Average

3694 Stock  TWD 55.60  2.00  3.47%   
The 8 Period Moving Average forecasted value of AzureWave Technologies on the next trading day is expected to be 55.61 with a mean absolute deviation of 3.11 and the sum of the absolute errors of 164.67. AzureWave Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for AzureWave Technologies is based on an artificially constructed time series of AzureWave Technologies 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.

AzureWave Technologies 8 Period Moving Average Price Forecast For the 2nd of February

Given 90 days horizon, the 8 Period Moving Average forecasted value of AzureWave Technologies on the next trading day is expected to be 55.61 with a mean absolute deviation of 3.11, mean absolute percentage error of 15.60, and the sum of the absolute errors of 164.67.
Please note that although there have been many attempts to predict AzureWave 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 AzureWave Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AzureWave Technologies Stock Forecast Pattern

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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 AzureWave Technologies stock data series using in forecasting. Note that when a statistical model is used to represent AzureWave Technologies 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 Criteria106.1547
BiasArithmetic mean of the errors -1.1765
MADMean absolute deviation3.107
MAPEMean absolute percentage error0.0599
SAESum of the absolute errors164.6688
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. AzureWave Technologies 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for AzureWave Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AzureWave 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.
Hype
Prediction
LowEstimatedHigh
51.1355.6060.07
Details
Intrinsic
Valuation
LowRealHigh
40.2544.7261.16
Details
Bollinger
Band Projection (param)
LowMiddleHigh
45.9654.3262.69
Details

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

AzureWave Technologies Market Strength Events

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

AzureWave Technologies Risk Indicators

The analysis of AzureWave Technologies' 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 AzureWave Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting azurewave 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 AzureWave Stock Analysis

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