AALBERTS IND Stock Forecast - Naive Prediction

AACA Stock   36.36  2.06  6.01%   
The Naive Prediction forecasted value of AALBERTS IND on the next trading day is expected to be 35.07 with a mean absolute deviation of 0.54 and the sum of the absolute errors of 32.96. AALBERTS Stock Forecast is based on your current time horizon.
  
A naive forecasting model for AALBERTS IND is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of AALBERTS IND 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.

AALBERTS IND Naive Prediction Price Forecast For the 1st of December

Given 90 days horizon, the Naive Prediction forecasted value of AALBERTS IND on the next trading day is expected to be 35.07 with a mean absolute deviation of 0.54, mean absolute percentage error of 0.45, and the sum of the absolute errors of 32.96.
Please note that although there have been many attempts to predict AALBERTS 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 AALBERTS IND's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AALBERTS IND Stock Forecast Pattern

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AALBERTS IND Forecasted Value

In the context of forecasting AALBERTS IND'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. AALBERTS IND's downside and upside margins for the forecasting period are 33.32 and 36.83, respectively. We have considered AALBERTS IND'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.
Market Value
36.36
35.07
Expected Value
36.83
Upside

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 AALBERTS IND stock data series using in forecasting. Note that when a statistical model is used to represent AALBERTS IND 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 Criteria117.3205
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5403
MAPEMean absolute percentage error0.0156
SAESum of the absolute errors32.9554
This model is not at all useful as a medium-long range forecasting tool of AALBERTS IND. 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 AALBERTS IND. 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 AALBERTS IND

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AALBERTS IND. 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
34.6036.3638.12
Details
Intrinsic
Valuation
LowRealHigh
33.7735.5337.29
Details
Bollinger
Band Projection (param)
LowMiddleHigh
32.8334.6236.42
Details

Other Forecasting Options for AALBERTS IND

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

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

AALBERTS IND 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 AALBERTS IND'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 AALBERTS IND's current price.

AALBERTS IND Market Strength Events

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

AALBERTS IND Risk Indicators

The analysis of AALBERTS IND'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 AALBERTS IND's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aalberts 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.

Thematic Opportunities

Explore Investment Opportunities

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Additional Tools for AALBERTS Stock Analysis

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