Alpha Pro Stock Forecast - 8 Period Moving Average

APT Stock  USD 5.38  0.14  2.67%   
The 8 Period Moving Average forecasted value of Alpha Pro Tech on the next trading day is expected to be 5.30 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 6.51. Alpha Stock Forecast is based on your current time horizon.
  
At this time, Alpha Pro's Inventory Turnover is comparatively stable compared to the past year. Fixed Asset Turnover is likely to gain to 8.34 in 2024, whereas Payables Turnover is likely to drop 32.90 in 2024. . Common Stock Shares Outstanding is likely to gain to about 16.3 M in 2024. Net Income Applicable To Common Shares is likely to gain to about 4.1 M in 2024.
An 8-period moving average forecast model for Alpha Pro is based on an artificially constructed time series of Alpha Pro 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.

Alpha Pro 8 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Alpha Pro Tech on the next trading day is expected to be 5.30 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.03, and the sum of the absolute errors of 6.51.
Please note that although there have been many attempts to predict Alpha 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 Alpha Pro's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alpha Pro Stock Forecast Pattern

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Alpha Pro Forecasted Value

In the context of forecasting Alpha Pro'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. Alpha Pro's downside and upside margins for the forecasting period are 3.30 and 7.30, respectively. We have considered Alpha Pro'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
5.38
5.30
Expected Value
7.30
Upside

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 Alpha Pro stock data series using in forecasting. Note that when a statistical model is used to represent Alpha Pro 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 Criteria99.7458
BiasArithmetic mean of the errors 0.0357
MADMean absolute deviation0.1228
MAPEMean absolute percentage error0.022
SAESum of the absolute errors6.5062
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. Alpha Pro Tech 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Alpha Pro

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alpha Pro Tech. 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
3.385.387.38
Details
Intrinsic
Valuation
LowRealHigh
3.065.067.06
Details
0 Analysts
Consensus
LowTargetHigh
15.2416.7518.59
Details

Other Forecasting Options for Alpha Pro

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

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 Risk & Return  Correlation

Alpha Pro Tech 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 Alpha Pro'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 Alpha Pro's current price.

Alpha Pro Market Strength Events

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

Alpha Pro Risk Indicators

The analysis of Alpha Pro'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 Alpha Pro's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alpha 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

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Alpha Stock Analysis

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