AULT Old Stock Forecast - Polynomial Regression

AULTDelisted Stock   0.21  0.01  4.55%   
The Polynomial Regression forecasted value of AULT Old on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.98. AULT Stock Forecast is based on your current time horizon.
  
AULT Old polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for AULT Old as well as the accuracy indicators are determined from the period prices.

AULT Old Polynomial Regression Price Forecast For the 26th of January

Given 90 days horizon, the Polynomial Regression forecasted value of AULT Old on the next trading day is expected to be 0.21 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.98.
Please note that although there have been many attempts to predict AULT 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 AULT Old's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AULT Old Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of AULT Old stock data series using in forecasting. Note that when a statistical model is used to represent AULT Old 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 Criteria110.1728
BiasArithmetic mean of the errors None
MADMean absolute deviation0.016
MAPEMean absolute percentage error0.0626
SAESum of the absolute errors0.9786
A single variable polynomial regression model attempts to put a curve through the AULT Old historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for AULT Old

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AULT Old. 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
0.210.210.21
Details
Intrinsic
Valuation
LowRealHigh
0.200.200.23
Details

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

AULT Old Market Strength Events

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

Thematic Opportunities

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You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

Other Consideration for investing in AULT Stock

If you are still planning to invest in AULT Old check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the AULT Old's history and understand the potential risks before investing.
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