AstroNova Stock Forecast - Naive Prediction

ALOT Stock  USD 17.44  0.24  1.40%   
The Naive Prediction forecasted value of AstroNova on the next trading day is expected to be 17.54 with a mean absolute deviation of  0.22  and the sum of the absolute errors of 13.50. AstroNova Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast AstroNova stock prices and determine the direction of AstroNova's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of AstroNova's historical fundamentals, such as revenue growth or operating cash flow patterns. Although AstroNova's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of AstroNova's systematic risk associated with finding meaningful patterns of AstroNova fundamentals over time.
Check out Historical Fundamental Analysis of AstroNova to cross-verify your projections.
For more information on how to buy AstroNova Stock please use our How to Invest in AstroNova guide.
  
Inventory Turnover is likely to gain to 3.10 in 2024, whereas Payables Turnover is likely to drop 9.92 in 2024. . Common Stock Shares Outstanding is likely to gain to about 7.7 M in 2024. Net Income Applicable To Common Shares is likely to gain to about 4 M in 2024.
Most investors in AstroNova cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the AstroNova's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets AstroNova's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for AstroNova is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of AstroNova 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.

AstroNova Naive Prediction Price Forecast For the 26th of April

Given 90 days horizon, the Naive Prediction forecasted value of AstroNova on the next trading day is expected to be 17.54 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.08, and the sum of the absolute errors of 13.50.
Please note that although there have been many attempts to predict AstroNova 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 AstroNova's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AstroNova Stock Forecast Pattern

Backtest AstroNovaAstroNova Price PredictionBuy or Sell Advice 

AstroNova Forecasted Value

In the context of forecasting AstroNova'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. AstroNova's downside and upside margins for the forecasting period are 16.10 and 18.99, respectively. We have considered AstroNova'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
17.44
17.54
Expected Value
18.99
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 AstroNova stock data series using in forecasting. Note that when a statistical model is used to represent AstroNova 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 Criteria115.5586
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2213
MAPEMean absolute percentage error0.0128
SAESum of the absolute errors13.5009
This model is not at all useful as a medium-long range forecasting tool of AstroNova. 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 AstroNova. 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 AstroNova

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AstroNova. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AstroNova's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
15.9917.4418.89
Details
Intrinsic
Valuation
LowRealHigh
15.8917.3418.79
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.9417.4317.92
Details
0 Analysts
Consensus
LowTargetHigh
23.6626.0028.86
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as AstroNova. Your research has to be compared to or analyzed against AstroNova's peers to derive any actionable benefits. When done correctly, AstroNova's 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 AstroNova.

Other Forecasting Options for AstroNova

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

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

AstroNova 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 AstroNova'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 AstroNova's current price.

AstroNova Market Strength Events

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

AstroNova Risk Indicators

The analysis of AstroNova'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 AstroNova's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting astronova 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AstroNova in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AstroNova's short interest history, or implied volatility extrapolated from AstroNova options trading.

Pair Trading with AstroNova

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AstroNova position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AstroNova will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to AstroNova could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AstroNova when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AstroNova - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling AstroNova to buy it.
The correlation of AstroNova is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AstroNova moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AstroNova moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AstroNova can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether AstroNova is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if AstroNova Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Astronova Stock. Highlighted below are key reports to facilitate an investment decision about Astronova Stock:
Check out Historical Fundamental Analysis of AstroNova to cross-verify your projections.
For more information on how to buy AstroNova Stock please use our How to Invest in AstroNova guide.
You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.

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Is AstroNova's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of AstroNova. If investors know AstroNova will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about AstroNova listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.995
Earnings Share
0.63
Revenue Per Share
19.971
Quarterly Revenue Growth
(0.01)
Return On Assets
0.0522
The market value of AstroNova is measured differently than its book value, which is the value of AstroNova that is recorded on the company's balance sheet. Investors also form their own opinion of AstroNova's value that differs from its market value or its book value, called intrinsic value, which is AstroNova's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because AstroNova's market value can be influenced by many factors that don't directly affect AstroNova's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between AstroNova's value and its price as these two are different measures arrived at by different means. Investors typically determine if AstroNova is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AstroNova's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.