ALR Technologies OTC Stock Forecast - Polynomial Regression

ALRTF Stock   0.01  0  9.91%   
The Polynomial Regression forecasted value of ALR Technologies on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.10. ALR OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of ALR Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
ALR Technologies polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ALR Technologies as well as the accuracy indicators are determined from the period prices.

ALR Technologies Polynomial Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of ALR Technologies on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000443, and the sum of the absolute errors of 0.10.
Please note that although there have been many attempts to predict ALR OTC 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 ALR Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ALR Technologies OTC Stock Forecast Pattern

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ALR Technologies Forecasted Value

In the context of forecasting ALR Technologies' OTC 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. ALR Technologies' downside and upside margins for the forecasting period are 0.0001 and 13.57, respectively. We have considered ALR Technologies' 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
0.01
0.0001
Downside
0.01
Expected Value
13.57
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 ALR Technologies otc stock data series using in forecasting. Note that when a statistical model is used to represent ALR Technologies otc 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 Criteria107.6207
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0017
MAPEMean absolute percentage error0.121
SAESum of the absolute errors0.1038
A single variable polynomial regression model attempts to put a curve through the ALR Technologies 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 ALR Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ALR Technologies. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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 ALR Technologies' 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
0.000.0113.58
Details
Intrinsic
Valuation
LowRealHigh
0.000.0113.58
Details

Other Forecasting Options for ALR Technologies

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

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

ALR Technologies Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of ALR Technologies' 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 ALR Technologies' current price.

ALR Technologies Market Strength Events

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

ALR Technologies Risk Indicators

The analysis of ALR Technologies' 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 ALR Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alr otc 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.

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Other Information on Investing in ALR OTC Stock

ALR Technologies financial ratios help investors to determine whether ALR OTC Stock 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 ALR with respect to the benefits of owning ALR Technologies security.