Athabasca Minerals Stock Forecast - Polynomial Regression

AMI Stock  CAD 0.14  0.00  0.00%   
The Polynomial Regression forecasted value of Athabasca Minerals on the next trading day is expected to be 0.14 with a mean absolute deviation of  0  and the sum of the absolute errors of 0. Athabasca Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Athabasca Minerals stock prices and determine the direction of Athabasca Minerals's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Athabasca Minerals' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Athabasca Minerals' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Athabasca Minerals' systematic risk associated with finding meaningful patterns of Athabasca Minerals fundamentals over time.
Check out Historical Fundamental Analysis of Athabasca Minerals to cross-verify your projections.
  
At this time, Athabasca Minerals' Payables Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to climb to 1.18 in 2024, whereas Inventory Turnover is likely to drop 6.68 in 2024. . Common Stock Shares Outstanding is likely to drop to about 61.1 M in 2024. Net Loss is likely to drop to about (2.1 M) in 2024.
Most investors in Athabasca Minerals 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 Athabasca Minerals' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Athabasca Minerals' price structures and extracts relationships that further increase the generated results' accuracy.
Athabasca Minerals polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Athabasca Minerals as well as the accuracy indicators are determined from the period prices.

Athabasca Minerals Polynomial Regression Price Forecast For the 30th of March

Given 90 days horizon, the Polynomial Regression forecasted value of Athabasca Minerals on the next trading day is expected to be 0.14 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Athabasca 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 Athabasca Minerals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Athabasca Minerals Stock Forecast Pattern

Backtest Athabasca MineralsAthabasca Minerals Price PredictionBuy or Sell Advice 

Athabasca Minerals Forecasted Value

In the context of forecasting Athabasca Minerals' 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. Athabasca Minerals' downside and upside margins for the forecasting period are 0.14 and 0.14, respectively. We have considered Athabasca Minerals' 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
0.14
0.14
Expected Value
0.14
Upside

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 Athabasca Minerals stock data series using in forecasting. Note that when a statistical model is used to represent Athabasca Minerals 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 Criteria50.1367
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the Athabasca Minerals 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 Athabasca Minerals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Athabasca Minerals. 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 Athabasca Minerals' 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
0.140.140.14
Details
Intrinsic
Valuation
LowRealHigh
0.120.120.15
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Athabasca Minerals. Your research has to be compared to or analyzed against Athabasca Minerals' peers to derive any actionable benefits. When done correctly, Athabasca Minerals' 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 Athabasca Minerals.

Other Forecasting Options for Athabasca Minerals

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

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

Athabasca Minerals 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 Athabasca Minerals' 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 Athabasca Minerals' current price.

Athabasca Minerals Market Strength Events

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

Pair Trading with Athabasca Minerals

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 Athabasca Minerals 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 Athabasca Minerals will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Athabasca Minerals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Athabasca Minerals 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 Athabasca Minerals - 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 Athabasca Minerals to buy it.
The correlation of Athabasca Minerals 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 Athabasca Minerals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Athabasca Minerals 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 Athabasca Minerals 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
Check out Historical Fundamental Analysis of Athabasca Minerals to cross-verify your projections.
You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

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Please note, there is a significant difference between Athabasca Minerals' value and its price as these two are different measures arrived at by different means. Investors typically determine if Athabasca Minerals is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Athabasca Minerals' 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.