Altus Group Pink Sheet Forecast - Polynomial Regression

ASGTF Stock  USD 41.16  0.38  0.93%   
The Polynomial Regression forecasted value of Altus Group Limited on the next trading day is expected to be 42.84 with a mean absolute deviation of 1.32 and the sum of the absolute errors of 81.67. Altus Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Altus Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Altus Group polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Altus Group Limited as well as the accuracy indicators are determined from the period prices.

Altus Group Polynomial Regression Price Forecast For the 26th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Altus Group Limited on the next trading day is expected to be 42.84 with a mean absolute deviation of 1.32, mean absolute percentage error of 2.85, and the sum of the absolute errors of 81.67.
Please note that although there have been many attempts to predict Altus 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 Altus Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Altus Group Pink Sheet Forecast Pattern

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Altus Group Forecasted Value

In the context of forecasting Altus Group'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. Altus Group's downside and upside margins for the forecasting period are 39.62 and 46.06, respectively. We have considered Altus Group'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
41.16
42.84
Expected Value
46.06
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 Altus Group pink sheet data series using in forecasting. Note that when a statistical model is used to represent Altus Group 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 Criteria120.9971
BiasArithmetic mean of the errors None
MADMean absolute deviation1.3173
MAPEMean absolute percentage error0.0338
SAESum of the absolute errors81.6729
A single variable polynomial regression model attempts to put a curve through the Altus Group 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 Altus Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Altus Group Limited. 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 Altus Group'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
37.9441.1644.38
Details
Intrinsic
Valuation
LowRealHigh
37.2940.5143.73
Details
Bollinger
Band Projection (param)
LowMiddleHigh
34.6539.9745.29
Details

Other Forecasting Options for Altus Group

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

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

Altus Group Limited 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 Altus Group'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 Altus Group's current price.

Altus Group Market Strength Events

Market strength indicators help investors to evaluate how Altus Group 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 Altus Group shares will generate the highest return on investment. By undertsting and applying Altus Group pink sheet market strength indicators, traders can identify Altus Group Limited entry and exit signals to maximize returns.

Altus Group Risk Indicators

The analysis of Altus Group'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 Altus Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting altus 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Altus Pink Sheet

Altus Group financial ratios help investors to determine whether Altus 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 Altus with respect to the benefits of owning Altus Group security.