Alimentation Couchen Pink Sheet Forecast - Polynomial Regression

ANCTF Stock  USD 56.31  1.02  1.84%   
The Polynomial Regression forecasted value of Alimentation Couchen Tard on the next trading day is expected to be 58.05 with a mean absolute deviation of 0.67 and the sum of the absolute errors of 41.12. Alimentation Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Alimentation Couchen's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Alimentation Couchen polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Alimentation Couchen Tard as well as the accuracy indicators are determined from the period prices.

Alimentation Couchen Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of Alimentation Couchen Tard on the next trading day is expected to be 58.05 with a mean absolute deviation of 0.67, mean absolute percentage error of 0.73, and the sum of the absolute errors of 41.12.
Please note that although there have been many attempts to predict Alimentation Pink Sheet 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 Alimentation Couchen's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alimentation Couchen Pink Sheet Forecast Pattern

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Alimentation Couchen Forecasted Value

In the context of forecasting Alimentation Couchen's Pink Sheet 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. Alimentation Couchen's downside and upside margins for the forecasting period are 56.68 and 59.43, respectively. We have considered Alimentation Couchen'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
56.31
58.05
Expected Value
59.43
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 Alimentation Couchen pink sheet data series using in forecasting. Note that when a statistical model is used to represent Alimentation Couchen pink sheet, 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 Criteria117.7908
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6741
MAPEMean absolute percentage error0.0123
SAESum of the absolute errors41.1229
A single variable polynomial regression model attempts to put a curve through the Alimentation Couchen 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 Alimentation Couchen

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alimentation Couchen Tard. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Alimentation Couchen'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
54.9456.3157.68
Details
Intrinsic
Valuation
LowRealHigh
54.1355.5056.87
Details

Other Forecasting Options for Alimentation Couchen

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

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

Alimentation Couchen Tard Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Alimentation Couchen'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 Alimentation Couchen's current price.

Alimentation Couchen Market Strength Events

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

Alimentation Couchen Risk Indicators

The analysis of Alimentation Couchen'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 Alimentation Couchen's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alimentation pink sheet 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.

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Other Information on Investing in Alimentation Pink Sheet

Alimentation Couchen financial ratios help investors to determine whether Alimentation Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Alimentation with respect to the benefits of owning Alimentation Couchen security.